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16 pages, 1480 KiB

Open AccessArticle

Assessing Police Technical Efficiency and the COVID-19 Technological Change from the Pact for Life Perspective

byIsloana Karla de França Barros, Thyago Celso Cavalcante Nepomuceno and Fernando Henrique Taques

World 2024, 5(3), 789-804; https://doi.org/10.3390/world5030041 (registering DOI) - 23 Sep 2024

Abstract

The Pact for Life program was one of Brazil’s most successful initiatives in coping with an elevated incidence of deliberate lethal violent crimes (CVLI) within the jurisdiction of Pernambuco. It delineated the state into 26 Integrated Security Areas (AIS) and applied strategies to [...] Read more.

The Pact for Life program was one of Brazil’s most successful initiatives in coping with an elevated incidence of deliberate lethal violent crimes (CVLI) within the jurisdiction of Pernambuco. It delineated the state into 26 Integrated Security Areas (AIS) and applied strategies to combine investigative and ostensive policing. Nevertheless, the pandemic shifted the production possibility of public security in directions that justify empirical investigations, not sufficiently covered in the current literature. This study employs variable returns to scale data envelopment analysis (DEA) and Malmquist productivity index (MPI) models to measure police efficiency and technology changes from 2019 to 2020. The proposed framework can be particularly suitable to capture changes in the production frontier resulting from technological advancements or regressions, which might otherwise be overlooked. Through a quantitative analysis, this research offers a comprehensive assessment of AISs and the operational performance of the Civil Police, emphasizing efficiency metrics and avenues for enhancement within a production-oriented context.Full article

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16 pages, 3916 KiB

Open AccessArticle

Influence of Atmospheric Pollutants and Weather Conditions on Agricultural Productivity in Italy

Appl. Sci. 2024, 14(18), 8542; https://doi.org/10.3390/app14188542 (registering DOI) - 23 Sep 2024

Abstract

The quantity of the main pollutants present in the atmosphere (particulate matter, ozone, sulfur dioxide, nitrogen dioxide) and meteorological events (rain) can cause permanent or catastrophic damage to plant growth. This study was conducted for the environmental assessment of the Italian territory, in [...] Read more.

The quantity of the main pollutants present in the atmosphere (particulate matter, ozone, sulfur dioxide, nitrogen dioxide) and meteorological events (rain) can cause permanent or catastrophic damage to plant growth. This study was conducted for the environmental assessment of the Italian territory, in the cities of Palermo, Bari, Ferrara, Padua, and Venice, which respectively represent southern, central, and northern Italy, in order to have a territory global environmental view. The aim of this research is to analyze the relationship between air pollution (PM10, O3, NO2, SO2) and crops (durum and common wheat, corn) as a basis for the subsequent definition of an agronomic model. Later, meteorological events were also added to the analysis, to have a complete overview for the evaluation, since meteorological events contribute to the pollutants’ behavior and favor the deposition of the latter on the vegetation, increasing the negative and toxic effect on crops. The analyses showed that pollutants have a significant effect on crops and in particular ozone appears to be the most influential parameter.Full article

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19 pages, 2659 KiB

Open AccessArticle

Telerobotic Intergroup Contact: Acceptance and Preferences in Israel and Palestine

byAvner Peled, Teemu Leinonen and Béatrice S. Hasler

Behav. Sci. 2024, 14(9), 854; https://doi.org/10.3390/bs14090854 (registering DOI) - 23 Sep 2024

Abstract

We explore telerobotics as a novel form of intergroup communication. In this form, remotely operated robots facilitate embodied and situated intergroup contact between groups in conflict over long distances, potentially reducing prejudice and promoting positive social change. Based on previous conceptual frameworks and [...] Read more.

We explore telerobotics as a novel form of intergroup communication. In this form, remotely operated robots facilitate embodied and situated intergroup contact between groups in conflict over long distances, potentially reducing prejudice and promoting positive social change. Based on previous conceptual frameworks and design hypotheses, we conducted a survey on the acceptance and preferences of the telerobotic medium in Israel and Palestine. We analyzed the responses using a mixed-method approach. The results shed light on differences in attitudes between the groups and design considerations for telerobots when used for intergroup contact. This study serves as a foundation for the implementation of a novel method of technology-enhanced conflict resolution in the field.Full article

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20 pages, 12712 KiB

Open AccessArticle

Experimental Research on Pressure Pulsation and Flow Structures of the Low Specific Speed Centrifugal Pump

byWeiling Lv, Yang Zhang, Wenbin Zhang, Ping Ni, Changjiang Li, Jiaqing Chen and Bo Gao

Energies 2024, 17(18), 4730; https://doi.org/10.3390/en17184730 (registering DOI) - 23 Sep 2024

Abstract

The low specific speed centrifugal pump plays a crucial role in industrial applications, and ensuring its efficient and stable operation is extremely important for the safety of the whole system. The pump must operate with an extremely high head, an extremely low flow [...] Read more.

The low specific speed centrifugal pump plays a crucial role in industrial applications, and ensuring its efficient and stable operation is extremely important for the safety of the whole system. The pump must operate with an extremely high head, an extremely low flow rate, and a very fast speed. The internal flow structure is complex and there is a strong interaction between dynamic and static components; consequently, the hydraulic excitation force produced becomes a significant factor that triggers abnormal vibrations in the pump. Therefore, this study focuses on a low specific speed centrifugal pump and uses a single-stage model pump to conduct PIV and pressure pulsation tests. The findings reveal that the PIV tests successfully captured the typical jet-wake structure at the outlet of the impeller, as well as the flow separation structure at the leading edge of the guide vanes and the suction surface. On the left side of the discharge pipe, large-scale flow separation and reverse flow happen as a result of the flow-through effect, producing a strong vortex zone. The flow field on the left side of the pressure chamber is relatively uniform, and the low-speed region on the suction surface of the guide vanes is reduced due to the reverse flow. The results of the pressure pulsation test showed that the energy of pressure pulsation in the flow passage of the guide vane occurs at the fBPF and its harmonics, and the interaction between the rotor and stator is significant. Under the same operating condition, the RMS value distribution and amplitude at fBPF of each measurement point are asymmetric in the circumferential direction. The amplitude of fBPF near the discharge pipe is lower, while the RMS value is higher. A complex flow structure is shown by the larger amplitude and RMS value of the fBPF on the left side of the pressure chamber. With the flow rate increasing, the energy at fBPF of each measurement point increases first and then decreases, while the RMS value decreases, indicating a more uniform flow field inside the pump.Full article

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19 pages, 4648 KiB

Open AccessArticle

Oxidative Stability of Fish Oil-Loaded Nanocapsules Produced by Electrospraying Using Kafirin or Zein Proteins as Wall Materials

byNor E. Rahmani-Manglano, Elnaz Z. Fallahasghari, Ana C. Mendes, Mogens L. Andersen, Emilia M. Guadix, Ioannis S. Chronakis and Pedro J. García-Moreno

Antioxidants 2024, 13(9), 1145; https://doi.org/10.3390/antiox13091145 (registering DOI) - 23 Sep 2024

Abstract

The encapsulation of fish oil by monoaxial electrospraying using kafirin or zein proteins as hydrophobic wall materials was investigated. Kafirin resulted in spherical fish oil-loaded nanocapsules (>50% of capsules below 1 µm), whereas zein led to fish oil-loaded nanocapsules with non-spherical morphology (>80% [...] Read more.

The encapsulation of fish oil by monoaxial electrospraying using kafirin or zein proteins as hydrophobic wall materials was investigated. Kafirin resulted in spherical fish oil-loaded nanocapsules (>50% of capsules below 1 µm), whereas zein led to fish oil-loaded nanocapsules with non-spherical morphology (>80% of capsules below 1 µm). Both hydrophobic encapsulating materials interacted with fish oil, successfully entrapping the oil within the protein matrix as indicated by Fourier-transform infrared spectroscopy (FTIR) and Raman spectroscopy results. FTIR also suggested hydrogen bonding between fish oil and the proteins. Trapped radicals in the encapsulation matrix that were detected by electron paramagnetic resonance (EPR), indicated oxidation during electrospraying and storage. Results from isothermal (140 °C) differential scanning calorimetry (DSC) denoted that the encapsulation of fish oil by electrospraying using both kafirin or zein as wall materials protected fish oil from oxidation. In particular, the zein-based nanocapsules were 3.3 times more oxidatively stable than the kafirin-based nanocapsules, which correlates with the higher oil encapsulation efficiency found for zein-based capsules. Thus, this study shows that kafirin might be considered a hydrophobic wall material for the encapsulation of fish oil by electrospraying, although it prevented lipid oxidation to a lower extent when compared to zein.Full article

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11 pages, 436 KiB

Open AccessArticle

Stacking Monotone Polytopes

byHee-Kap Ahn, Seung Joon Lee and Sang Duk Yoon

Symmetry 2024, 16(9), 1246; https://doi.org/10.3390/sym16091246 (registering DOI) - 23 Sep 2024

Abstract

This paper addresses the problem of computing the optimal stacking of two monotone polytopes P and Q in

Rd

. A monotone polytope in

Rd

is defined as a polytope whose intersection with any line parallel to the last coordinate axis [...] Read more.

This paper addresses the problem of computing the optimal stacking of two monotone polytopes P and Q in

Rd

. A monotone polytope in

Rd

is defined as a polytope whose intersection with any line parallel to the last coordinate axis

xd

is connected, and the stacking of P and Q is defined as a translation of Q, such that “Q touches P from above”. To evaluate the stack, we use three different scoring criteria: (1) the height of the stack, (2) the maximum pointwise distance along the

xd

-axis, and (3) the volume between P and Q. We propose exact algorithms to compute the optimal stacking for each scoring criterion.Full article

(This article belongs to the Section Computer)

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17 pages, 2687 KiB

Open AccessArticle

An Automatic Software Defect Repair Method Based on Multi-Objective Genetic Programming

byTiantian Han, Yonghe Chu and Fangzheng Liu

Appl. Sci. 2024, 14(18), 8550; https://doi.org/10.3390/app14188550 (registering DOI) - 23 Sep 2024

Abstract

Due to the explosive growth of software quantity and the mixed ability of software developers, a large number of software defects emerge during the later stages of software maintenance. The search method based on genetic programming is one of the most popular in [...] Read more.

Due to the explosive growth of software quantity and the mixed ability of software developers, a large number of software defects emerge during the later stages of software maintenance. The search method based on genetic programming is one of the most popular in search algorithms, but it also has some issues. The single-objective approach to validate and select offspring patches without considering other constraints can affect the efficiency of patch generation. To address this issue, this paper proposes an automatic software repair method based on Multi-objective Genetic Programming (MGPRepair). Firstly, the method adopts a lightweight context analysis strategy to find suitable repair materials. Secondly, it decouples the replacement statements and insertion statements in the repair materials, using a lower-granularity patch representation method to encode the patches in the search space. Then, the automatic software defect repair is treated as a multi-objective search problem, and the NSGA-II multi-objective optimization algorithm is used to find simpler repair patches. Finally, the test case filtering technique is used to accelerate the patch validation process and generate correct patches. MGPRepair was experimentally evaluated on 395 real Java software defects from the Defects4J dataset. The experimental results show that MGPRepair can generate test case-passing patches for 51 defects, of which 35 defect patches are equivalent to manually generated patches. Its repair the efficiency and success rate are higher to other excellent automatic software defect repair methods such as jGenProg, RSRepair, ARJA, Nopol, Capgen, and SequenceR.Full article

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17 pages, 1188 KiB

Open AccessReview

Converging Pathways: A Review of Pulmonary Hypertension in Interstitial Lung Disease

byAlexandra Lawrence, Katherine Jane Myall, Bhashkar Mukherjee and Philip Marino

Life 2024, 14(9), 1203; https://doi.org/10.3390/life14091203 (registering DOI) - 23 Sep 2024

Abstract

Pulmonary hypertension (PH) in interstitial lung disease (ILD) is relatively common, affecting up to 50% of patients with idiopathic pulmonary fibrosis (IPF). It occurs more frequently in advanced fibrotic ILD, although it may also complicate milder disease and carries significant clinical implications in [...] Read more.

Pulmonary hypertension (PH) in interstitial lung disease (ILD) is relatively common, affecting up to 50% of patients with idiopathic pulmonary fibrosis (IPF). It occurs more frequently in advanced fibrotic ILD, although it may also complicate milder disease and carries significant clinical implications in terms of morbidity and mortality. Key pathological processes driving ILD-PH include hypoxic pulmonary vasoconstriction and pulmonary vascular remodelling. While current understanding of the complex cell signalling pathways and molecular mechanisms underlying ILD-PH remains incomplete, there is evidence for an interplay between the disease pathogenesis of fibrotic ILD and PH, with interest in the role of the pulmonary endothelium in driving pulmonary fibrogenesis more recently. This review examines key clinical trials in ILD-PH therapeutics, including recent research showing promise for the treatment of both ILD-PH and the underlying pulmonary fibrotic process, further supporting the hypothesis of interrelated pathogenesis. Other important management considerations are discussed, including the value of accurate phenotyping in ILD-PH and the success of the “pulmonary vascular” phenotype. This article highlights the close and interconnected nature of fibrotic ILD and PH disease pathogenesis, a perspective likely to improve our understanding and therapeutic approach to this complex condition in the future.Full article

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14 pages, 1907 KiB

Open AccessArticle

Form-Finding of Tensegrity Basic Unit with Equal Cable Length

byYingyu Zhao, Ani Luo and Heping Liu

Aerospace 2024, 11(9), 782; https://doi.org/10.3390/aerospace11090782 (registering DOI) - 23 Sep 2024

Abstract

Tensegrity is a lightweight, self-stressing, and self-stabilizing structure made up of cables and bars, with each member bearing either tension or compression but not affected by shear stress. This design allows for optimal utilization of the material properties of the members. In a [...] Read more.

Tensegrity is a lightweight, self-stressing, and self-stabilizing structure made up of cables and bars, with each member bearing either tension or compression but not affected by shear stress. This design allows for optimal utilization of the material properties of the members. In a tensegrity basic unit, the bar members are of equal length, while the cable members come in three lengths: lower-end surface horizontal cable, upper-end surface horizontal cable, and stayed cable. The tensegrity basic unit with equal cable length simplifies this further by ensuring that all cables are the same length, resulting in a structure with only two member lengths, i.e., bar length and cable length, enhancing interchangeability. In order to find the form without the action of external forces, the force density coefficient ratio is introduced. By performing a force balance analysis on any node of the unit, the equilibrium equation of the structure is determined, incorporating the additional constraint of equal cable length. Two methods are employed to ascertain the force density coefficient ratio of each member in the unit: the theoretical derivation method based on the stable configuration condition of the tensegrity basic unit with equal cable length, and the method of solving the characteristic equations of the force density matrix. A program is developed to validate the form-finding method using basic units with three, four, five, and six bars as examples. The results show that the model accurately represents the physical structure, confirming the reliability of the form-finding methods.Full article

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10 pages, 248 KiB

Open AccessArticle

Relationships between Morning Thirst and Later Hydration Status and Total Water Intake

byKelly B. Elliott, Marcos S. Keefe, Jan-Joseph S. Rolloque, Nigel C. Jiwan, Ryan A. Dunn, Hui-Ying Luk and Yasuki Sekiguchi

Nutrients 2024, 16(18), 3212; https://doi.org/10.3390/nu16183212 (registering DOI) - 23 Sep 2024

Abstract

Purpose: To investigate the effects of thirst on later hydration status, total water intake (TWI-MA), and its potential sex differences. Methods: Twelve men (mean ± standard deviation; age: 21 ± 2 years; mass: 81.0 ± 15.9 kg) and twelve women (age: 22 ± [...] Read more.

Purpose: To investigate the effects of thirst on later hydration status, total water intake (TWI-MA), and its potential sex differences. Methods: Twelve men (mean ± standard deviation; age: 21 ± 2 years; mass: 81.0 ± 15.9 kg) and twelve women (age: 22 ± 3 years; mass: 68.8 ± 15.2 kg) visited the laboratory in the morning (first thing in the morning) and afternoon (2:00–4:00 p.m.) for three consecutive days under a free-living condition. At each visit, urine osmolality (UOSM), urine specific gravity (USG), urine color (UCOL), body mass loss (BML), thirst, and plasma osmolality (POSM) were collected and analyzed. The participants recorded their food and fluid intake between the visits to determine TWI-MA. Linear regression was used to predict the effect of morning thirst on the afternoon hydration indices for all the participants, as well as for males and females separately. Results: Higher morning thirst predicted lower UOSM (r2 = 0.056, p = 0.045), USG (r2 = 0.096, p = 0.008), UCOL (r2 = 0.074, p = 0.021), and higher thirst (r2 = 0.074, p = 0.021) in the afternoon. However, morning thirst did not predict afternoon BML, POSM, or TWI-MA (p > 0.05). In males, higher morning thirst predicted lower afternoon UOSM (r2 = 0.130, p = 0.031) and USG (r2 = 0.153, p = 0.018). Additionally, higher morning thirst predicted higher TWI-MA (r2 = 0.154, p = 0.018) in females. Conclusions: Morning thirst had a negligible impact on later hydration status, specifically with afternoon urine indices. Furthermore, higher thirst sensation did not impact BML, POSM, or TWI-MA. However, thirst sensation minimally contributed to drinking behavior in females. Overall, individuals may not rely solely on thirst sensation to manipulate their drinking behavior to optimize their fluid balance during their daily lives due to the complexity of thirst mechanisms.Full article

34 pages, 4879 KiB

Open AccessReview

Pathological Involvement of Protein Phase Separation and Aggregation in Neurodegenerative Diseases

byYinuo Wu, Biao Ma, Chang Liu, Dangdang Li and Guangchao Sui

Int. J. Mol. Sci. 2024, 25(18), 10187; https://doi.org/10.3390/ijms251810187 (registering DOI) - 23 Sep 2024

Abstract

Neurodegenerative diseases are the leading cause of human disability and immensely reduce patients’ life span and quality. The diseases are characterized by the functional loss of neuronal cells and share several common pathogenic mechanisms involving the malfunction, structural distortion, or aggregation of multiple [...] Read more.

Neurodegenerative diseases are the leading cause of human disability and immensely reduce patients’ life span and quality. The diseases are characterized by the functional loss of neuronal cells and share several common pathogenic mechanisms involving the malfunction, structural distortion, or aggregation of multiple key regulatory proteins. Cellular phase separation is the formation of biomolecular condensates that regulate numerous biological processes, including neuronal development and synaptic signaling transduction. Aberrant phase separation may cause protein aggregation that is a general phenomenon in the neuronal cells of patients suffering neurodegenerative diseases. In this review, we summarize the pathological causes of common neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease, among others. We discuss the regulation of key amyloidogenic proteins with an emphasis of their aberrant phase separation and aggregation. We also introduce the approaches as potential therapeutic strategies to ameliorate neurodegenerative diseases through intervening protein aggregation. Overall, this review consolidates the research findings of phase separation and aggregation caused by misfolded proteins in a context of neurodegenerative diseases.Full article

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21 pages, 6192 KiB

Open AccessArticle

Optimizing the Landing Stability of Blended-Wing-Body Aircraft with Distributed Electric Boundary-Layer Ingestion Propulsors through a Novel Thrust Control Configuration

byMingxing Yu, Zhi Tao, Haiwang Li and Peng Tang

Appl. Sci. 2024, 14(18), 8546; https://doi.org/10.3390/app14188546 (registering DOI) - 23 Sep 2024

Abstract

The imperative for energy conservation and environmental protection has led to the development of innovative aircraft designs. This study explored a novel thrust control configuration for blended-wing-body (BWB) aircraft with distributed electric boundary-layer ingestion (BLI) propulsors, addressing the issues of sagging and altitude [...] Read more.

The imperative for energy conservation and environmental protection has led to the development of innovative aircraft designs. This study explored a novel thrust control configuration for blended-wing-body (BWB) aircraft with distributed electric boundary-layer ingestion (BLI) propulsors, addressing the issues of sagging and altitude loss during landing. The research focused on a small-scale BWB demonstrator equipped with six BLI fans, each with a 90 mm diameter. Various thrust control configurations were evaluated to achieve significant thrust reduction while maintaining lift, including dual-layer sleeve, separate flap-type, single-stage linkage flap-type, and dual-stage linkage flap-type configurations. The separate flap-type configuration was tested through ground experiments. Control experiments were conducted under three different experimental conditions as follows: deflection of the upper cascades only, deflection of the lower cascades only, and symmetrical deflection of both cascades. For each condition, the deflection angles tested were 0°, 10°, 20°, 30°, 40°, 50°, and 60°. The thrust reductions observed for these three conditions were 0%, 37.5%, and 27.5% of the maximum thrust, respectively, without additional changes in the pitch moment. A combined thrust adjustment method maintaining a zero pitch moment demonstrated a linear thrust reduction to 20% of its initial value. The experiment concluded that the novel thrust control configuration effectively adjusted thrust without altering the BLI fans’ rotation speed, solving the coupled lift–thrust problem and enhancing BWB landing stability.Full article

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14 pages, 1806 KiB

Open AccessArticle

Using Citizen Science to Document Biodiversity on a University Campus: A Year-Long Case Study

byPeter M. Baker, Brendon Samuels and Timothy J. A. Hain

Conservation 2024, 4(3), 533-546; https://doi.org/10.3390/conservation4030032 (registering DOI) - 23 Sep 2024

Abstract

Citizen science is a rapidly growing field, particularly among young scientists. In this case study, we review a year-long citizen science initiative hosted at Western University, Canada, which aimed to document and highlight biodiversity on campus while simultaneously seeking to improve community engagement [...] Read more.

Citizen science is a rapidly growing field, particularly among young scientists. In this case study, we review a year-long citizen science initiative hosted at Western University, Canada, which aimed to document and highlight biodiversity on campus while simultaneously seeking to improve community engagement with the environment. Using the popular citizen science platform iNaturalist, we facilitated data collection and community engagement through a combination of informal field surveys, undergraduate-level course assignments, social media, and passive data submission. Throughout the first year of the initiative, nearly 300 community members submitted 3716 observations of 1225 species, including observations of 103 species documented on iNaturalist for the first time in the region, and other species of ecological significance. This citizen science project underscores the strengths and utility of citizen science and provides a framework for other higher education institutions to develop similar initiatives.Full article

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12 pages, 2389 KiB

Open AccessArticle

Scan-Rate-Dependent Ion Current Rectification in Bipolar Interfacial Nanopores

byXiaoling Zhang, Yunjiao Wang, Jiahui Zheng, Chen Yang and Deqiang Wang

Micromachines 2024, 15(9), 1176; https://doi.org/10.3390/mi15091176 (registering DOI) - 23 Sep 2024

Abstract

This study presents a theoretical investigation into the voltammetric behavior of bipolar interfacial nanopores due to the effect of potential scan rate (1–1000 V/s). Finite element method (FEM) is utilized to explore the current–voltage (I–V) properties of bipolar interfacial nanopores at different bulk [...] Read more.

This study presents a theoretical investigation into the voltammetric behavior of bipolar interfacial nanopores due to the effect of potential scan rate (1–1000 V/s). Finite element method (FEM) is utilized to explore the current–voltage (I–V) properties of bipolar interfacial nanopores at different bulk salt concentrations. The results demonstrate a strong impact of the scan rate on the I–V response of bipolar interfacial nanopores, particularly at relatively low concentrations. Hysteresis loops are observed in bipolar interfacial nanopores under specific scan rates and potential ranges and divided by a cross-point potential that remains unaffected by the scan rate employed. This indicates that the current in bipolar interfacial nanopores is not just reliant on the bias potential that is imposed but also on the previous conditions within the nanopore, exhibiting history-dependent or memory effects. This scan-rate-dependent current–voltage response is found to be significantly influenced by the length of the nanopore (membrane thickness). Thicker membranes exhibit a more pronounced scan-rate-dependent phenomenon, as the mass transfer of ionic species is slower relative to the potential scan rate. Additionally, unlike conventional bipolar nanopores, the ion current passing through bipolar interfacial nanopores is minimally affected by the membrane thickness, making it easier to detect.Full article

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24 pages, 3957 KiB

Open AccessReview

Circular Bioeconomy in Action: Transforming Food Wastes into Renewable Food Resources

byPriti Pal, Akhilesh Kumar Singh, Rajesh Kumar Srivastava, Saurabh Singh Rathore, Uttam Kumar Sahoo, Sanjukta Subudhi, Prakash Kumar Sarangi and Piotr Prus

Foods 2024, 13(18), 3007; https://doi.org/10.3390/foods13183007 (registering DOI) - 23 Sep 2024

Abstract

The growing challenge of food waste management presents a critical opportunity for advancing the circular bioeconomy, aiming to transform waste into valuable resources. This paper explores innovative strategies for converting food wastes into renewable food resources, emphasizing the integration of sustainable technologies and [...] Read more.

The growing challenge of food waste management presents a critical opportunity for advancing the circular bioeconomy, aiming to transform waste into valuable resources. This paper explores innovative strategies for converting food wastes into renewable food resources, emphasizing the integration of sustainable technologies and zero-waste principles. The main objective is to demonstrate how these approaches can contribute to a more sustainable food system by reducing environmental impacts and enhancing resource efficiency. Novel contributions of this study include the development of bioproducts from various food waste streams, highlighting the potential of underutilized resources like bread and jackfruit waste. Through case studies and experimental findings, the paper illustrates the successful application of green techniques, such as microbial fermentation and bioprocessing, in valorizing food wastes. The implications of this research extend to policy frameworks, encouraging the adoption of circular bioeconomy models that not only address waste management challenges but also foster economic growth and sustainability. These findings underscore the potential for food waste to serve as a cornerstone in the transition to a circular, regenerative economy.Full article

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25 pages, 8294 KiB

Open AccessArticle

Chemical-Inspired Material Generation Algorithm (MGA) of Single- and Double-Diode Model Parameter Determination for Multi-Crystalline Silicon Solar Cells

byWafaa Alsaggaf, Mona Gafar, Shahenda Sarhan, Abdullah M. Shaheen and Ahmed R. Ginidi

Appl. Sci. 2024, 14(18), 8549; https://doi.org/10.3390/app14188549 (registering DOI) - 23 Sep 2024

Abstract

The optimization of solar photovoltaic (PV) cells and modules is crucial for enhancing solar energy conversion efficiency, a significant barrier to the widespread adoption of solar energy. Accurate modeling and estimation of PV parameters are essential for the optimal design, control, and simulation [...] Read more.

The optimization of solar photovoltaic (PV) cells and modules is crucial for enhancing solar energy conversion efficiency, a significant barrier to the widespread adoption of solar energy. Accurate modeling and estimation of PV parameters are essential for the optimal design, control, and simulation of PV systems. Traditional optimization methods often suffer from limitations such as entrapment in local optima when addressing this complex problem. This study introduces the Material Generation Algorithm (MGA), inspired by the principles of material chemistry, to estimate PV parameters effectively. The MGA simulates the creation and stabilization of chemical compounds to explore and optimize the parameter space. The algorithm mimics the formation of ionic and covalent bonds to generate new candidate solutions and assesses their stability to ensure convergence to optimal parameters. The MGA is applied to estimate parameters for two different PV modules, RTC France and Kyocera KC200GT, considering their manufacturing technologies and solar cell models. The significant nature of the MGA in comparison to other algorithms is further demonstrated by experimental and statistical findings. A comparative analysis of the results indicates that the MGA outperforms the other optimization strategies that previous researchers have examined for parameter estimation of solar PV systems in terms of both effectiveness and robustness. Moreover, simulation results demonstrate that MGA enhances the electrical properties of PV systems by accurately identifying PV parameters under varying operating conditions of temperature and irradiance. In comparison to other reported methods, considering the Kyocera KC200GT module, the MGA consistently performs better in decreasing RMSE across a variety of weather situations; for SD and DD models, the percentage improvements vary from 8.07% to 90.29%.Full article

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10 pages, 4639 KiB

Open AccessArticle

Metformin Treatment Is Not Associated with Altered PD-L1 Expression in Diabetic Patients with Oral Squamous Cell Carcinoma

byAndreas Mamilos, Lina Winter, Alexander Lein, Steffen Spoerl, Nils Ludwig, Tobias Ettl, Julian Künzel, Torsten Reichert, Gerrit Spanier and Christoph Brochhausen

J. Clin. Med. 2024, 13(18), 5632; https://doi.org/10.3390/jcm13185632 (registering DOI) - 23 Sep 2024

Abstract

Background: The anti-neoplastic activity of metformin is a subject of current debate. Preclinical data have suggested that metformin enhances PD-L1 anti-tumor effects in various cancer entities by decreasing insulin levels and inducing energetic stress. However, its impact on PD-L1 expression remains unclear [...] Read more.

Background: The anti-neoplastic activity of metformin is a subject of current debate. Preclinical data have suggested that metformin enhances PD-L1 anti-tumor effects in various cancer entities by decreasing insulin levels and inducing energetic stress. However, its impact on PD-L1 expression remains unclear in a clinical setting. Therefore, we aim to investigate the impact of metformin treatment in type 2 diabetes mellitus (DM) patients on PD-L1 expression in patients with oral squamous cell carcinoma (OSCC). Methods: We performed a retrospective analysis of patients with DM and OSCC treated at our tertiary referral center over a period of 12 years. The tumor proportion score (TPS), immune cell score (IC), and combined positive score (CPS) were used to quantify PD-L1 expression. PD-L1 expression of patients receiving metformin was compared to a control group without metformin prescription. Results: A total of 68 patients diagnosed with OSCC and DM were analyzed, with 24 receiving and 44 not receiving metformin therapy. No statistically significant differences were identified between the metformin and non-metformin groups for any of the scores (TPS: p = 0.818; IC: p = 0.748; CPS: p = 0.387). Conclusions: In contrast to previous studies, we could not find significant differences in PD-L1 expression between patients with and without metformin intake. Further research needs to shed light on the exact mechanism of metformin in different tumor entities. A comprehensive understanding of metformin’s role in cancer therapy could provide valuable insights for potential use of metformin as an adjuvant treatment to immune checkpoint therapy.Full article

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16 pages, 634 KiB

Open AccessReview

Exploring Intervention Frameworks to Improve Utilization of Elimination of Mother-to-Child Transmission Services in Africa: A Scoping Review

byNdivhuwo Mukomafhedzi, Takalani Tshitangano and Shonisani Tshivhase

Nurs. Rep. 2024, 14(3), 2580-2595; https://doi.org/10.3390/nursrep14030190 (registering DOI) - 23 Sep 2024

Abstract

Background: Over the past two decades, intervention strategies to improve the use of the elimination of mother-to-child transmission (EMTCT) services have been implemented for several reasons. The reasons include elimination of HIV infections during pregnancy, delivery, breastfeeding, prevention of HIV, prevention of unintended [...] Read more.

Background: Over the past two decades, intervention strategies to improve the use of the elimination of mother-to-child transmission (EMTCT) services have been implemented for several reasons. The reasons include elimination of HIV infections during pregnancy, delivery, breastfeeding, prevention of HIV, prevention of unintended pregnancies, and safer conception. Poor utilization of EMTCT services has been proven to put the child at risk of acquiring HIV, which could have been avoided. Objective: This study aims to explore and describe interventions to promote the elimination of mother-to-child transmission services among pregnant and nursing mothers in Africa. Method: A scoping literature review technique was undertaken on research papers published in English that focused on EMTCT, barriers, interventions, and methods to address challenges to EMTCT utilization. These were screened independently and coded. Results: The analysis comprised 14 out of approximately 9029 literature sources. Intervention strategies to improve EMTCT service utilization, according to the findings, include accessibility and affordability, healthcare worker training, integrating the elimination of mother-to-child transmission into maternal and child health services, community-based interventions, family-centred approaches, and the use of technology. Conclusions: Interventions that increase women’s use of EMTCT services will contribute to the aim of HIV-free generation by reducing new HIV infections in children and saving lives.Full article

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24 pages, 2984 KiB

Open AccessArticle

SSRL-UAVs: A Self-Supervised Deep Representation Learning Approach for GPS Spoofing Attack Detection in Small Unmanned Aerial Vehicles

byAbed Alanazi

Drones 2024, 8(9), 515; https://doi.org/10.3390/drones8090515 (registering DOI) - 23 Sep 2024

Abstract

Self-Supervised Representation Learning (SSRL) has become a potent strategy for addressing the growing threat of Global Positioning System (GPS) spoofing to small Unmanned Aerial Vehicles (UAVs) by capturing more abstract and high-level contributing features. This study focuses on enhancing attack detection capabilities by [...] Read more.

Self-Supervised Representation Learning (SSRL) has become a potent strategy for addressing the growing threat of Global Positioning System (GPS) spoofing to small Unmanned Aerial Vehicles (UAVs) by capturing more abstract and high-level contributing features. This study focuses on enhancing attack detection capabilities by incorporating SSRL techniques. An innovative hybrid architecture integrates Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models to detect attacks on small UAVs alongside two additional architectures, LSTM-Recurrent Neural Network (RNN) and Deep Neural Network (DNN), for detecting GPS spoofing attacks. The proposed model leverages SSRL, autonomously extracting meaningful features without the need for many labelled instances. Key configurations include LSTM-GRU, with 64 neurons in the input and concatenate layers and 32 neurons in the second layer. Ablation analysis explores various parameter settings, with the model achieving an impressive 99.9% accuracy after 10 epoch iterations, effectively countering GPS spoofing attacks. To further enhance this approach, transfer learning techniques are also incorporated, which help to improve the adaptability and generalisation of the SSRL model. By saving and applying pre-trained weights to a new dataset, we leverage prior knowledge to improve performance. This integration of SSRL and transfer learning yields a validation accuracy of 79.0%, demonstrating enhanced generalisation to new data and reduced training time. The combined approach underscores the robustness and efficiency of GPS spoofing detection in UAVs.Full article

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12 pages, 4527 KiB

Open AccessArticle

Observation of Post-Sunset Equatorial Plasma Bubbles with BDS Geostationary Satellites over South China

byGuanyi Ma, Jinghua Li, Jiangtao Fan, Qingtao Wan, Takashi Maruyama, Liang Dong, Yang Gao, Le Zhang and Dong Wang

Remote Sens. 2024, 16(18), 3521; https://doi.org/10.3390/rs16183521 (registering DOI) - 23 Sep 2024

Abstract

An equatorial plasma bubble (EPB) is characterized by ionospheric irregularities which disturb radio waves by causing phase and amplitude scintillations or even signal loss. It is becoming increasingly important in space weather to assure the reliability of radio systems in both space and [...] Read more.

An equatorial plasma bubble (EPB) is characterized by ionospheric irregularities which disturb radio waves by causing phase and amplitude scintillations or even signal loss. It is becoming increasingly important in space weather to assure the reliability of radio systems in both space and on the ground. This paper presents a newly established GNSS ionospheric observation network (GION) around the north equatorial ionization anomaly (EIA) crest in south China, which has a longitudinal coverage of ∼30° from 94°E to 124°E. The measurement with signals from geostationary earth orbit (GEO) satellites of the BeiDou navigation satellite system (BDS) is capable of separating the temporal and spatial variations of the ionosphere. A temporal fluctuation of TEC (TFT) parameter is proposed to characterize EPBs. The longitude of the EPBs’ generation can be located with TFT variations in the time–longitude dimension. It is found that the post-sunset EPBs have a high degree of longitudinal variability. They generally show a quasiperiodic feature, indicating their association with atmospheric gravity wave activities. Wave-like structures with different scale sizes can co-exist in the same night.Full article

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14 pages, 5427 KiB

Open AccessArticle

Eddy Current Mechanism Model for Dynamic Magnetic Field in Ferromagnetic Metal Structures

byChao Zuo, Zhipeng Lai, Zuoshuai Wang, Jianxun Wang, Hanchen Xiao, Wentie Yang, Pan Geng and Meng Chen

Electronics 2024, 13(18), 3772; https://doi.org/10.3390/electronics13183772 (registering DOI) - 23 Sep 2024

Abstract

The degaussing process is crucial for ensuring magnetic protection in ships. It involves the application of oscillating and attenuating magnetic fields to eliminate residual magnetism in the ship’s structure. However, this process can lead to the generation of distorted magnetic fields within the [...] Read more.

The degaussing process is crucial for ensuring magnetic protection in ships. It involves the application of oscillating and attenuating magnetic fields to eliminate residual magnetism in the ship’s structure. However, this process can lead to the generation of distorted magnetic fields within the ship’s cabin, posing a potential threat to electronic equipment performance. Therefore, it is essential to have a comprehensive understanding of the dynamic magnetic field response in ship structures to develop effective degaussing systems. To address this need, this paper proposes an eddy current model for analyzing the dynamic magnetic field response in ferromagnetic metal structures. This model focuses on the role of eddy currents in shaping the magnetic field response and provides valuable insights into the underlying mechanisms. Using the proposed eddy current model, the effects of key system parameters such as thickness, conductivity, and the length-scale of the ship structure can be analytically investigated. This analysis helps in understanding how these parameters influence the dynamic magnetic field response and aids in the design and optimization of degaussing systems. The effectiveness and applicability of the proposed eddy current model are demonstrated through comprehensive investigations involving two simulation cases of varying complexity. The model accurately predicts the changing trends of the dynamic magnetic field response, as confirmed through finite element simulations. This validation highlights the model’s ability to reproduce simulation results accurately and its potential as a powerful tool for analyzing and optimizing dynamic magnetic field responses. In summary, the proposed eddy current model represents a significant advancement in the field. It provides a valuable theoretical framework for understanding and analyzing the dynamic magnetic field response in ferromagnetic metal structures. By offering insights into the underlying mechanisms and the influence of key parameters, this research contributes to the development of improved degaussing systems and enhances the overall magnetic protection capabilities of ships.Full article

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13 pages, 268 KiB

Open AccessArticle

Assessing Cardiovascular Target Attainment in Type 2 Diabetes Mellitus Patients in Tertiary Diabetes Center in Romania

byTeodor Salmen, Valeria-Anca Pietrosel, Delia Reurean-Pintilei, Mihaela Adela Iancu, Radu Cristian Cimpeanu, Ioana-Cristina Bica, Roxana-Ioana Dumitriu-Stan, Claudia-Gabriela Potcovaru, Bianca-Margareta Salmen, Camelia-Cristina Diaconu, Sanda Maria Cretoiu and Anca Pantea Stoian

Pharmaceuticals 2024, 17(9), 1249; https://doi.org/10.3390/ph17091249 (registering DOI) - 23 Sep 2024

Abstract

Introduction: Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) share a bidirectional link, and the innovative antidiabetic molecules GLP-1 Ras and SGLT-2is have proven cardiac and renal benefits, respectively. This study aimed to evaluate CV risk categories, along with lipid-lowering and antidiabetic [...] Read more.

Introduction: Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) share a bidirectional link, and the innovative antidiabetic molecules GLP-1 Ras and SGLT-2is have proven cardiac and renal benefits, respectively. This study aimed to evaluate CV risk categories, along with lipid-lowering and antidiabetic treatments, in patients with T2DM from a real-life setting in Romania. Material and Methods: A cross-sectional evaluation was conducted on 405 consecutively admitted patients with T2DM in an ambulatory setting, assessing them according to the 2019 ESC/EAS guidelines for moderate, high, and very high CV risk categories. Results: The average age of the group was 58 ± 9.96 years, with 38.5% being female. The mean HbA1C level was 7.2 ± 1.7%. Comorbidities included HBP in 88.1% of patients, with a mean SBP and DBP of 133.2 ± 13.7 mm Hg and 79.9 ± 9 mm Hg, respectively, and obesity in 66.41%, with a mean BMI of 33 ± 6.33 kg/m2. The mean LDL-C levels varied by CV risk category: 90.1 ± 34.22 mg/dL in very high risk, 98.63 ± 33.26 mg/dL in high risk, and 105 ± 37.1 mg/dL in moderate risk. Prescribed treatments included metformin (100%), statins (77.5%), GLP-1 Ras (29.4%), and SGLT-2is (29.4%). Conclusions: In Romania, patients with T2DM often achieve glycemic control targets but fail to meet composite targets that include glycemic, BP, and lipid control. Additionally, few patients benefit from innovative glucose-lowering therapies with proven cardio-renal benefits or from statins.Full article

13 pages, 307 KiB

Open AccessArticle

Follow-Up Period Affects the Association between Serum 25-Hydroxyvitamin D Concentration and Incidence of Dementia, Alzheimer’s Disease, and Cognitive Impairment

byWilliam B. Grant

Nutrients 2024, 16(18), 3211; https://doi.org/10.3390/nu16183211 (registering DOI) - 23 Sep 2024

Abstract

Background/Objectives: Vitamin D’s effect on risk health outcomes is often evaluated using prospective cohort studies. For vitamin D, risk ratios (RRs) are based on health outcomes with respect to serum 25-hydroxyvitamin D [25(OH)D] concentrations measured at time of enrollment. Serum 25(OH)D concentrations vary [...] Read more.

Background/Objectives: Vitamin D’s effect on risk health outcomes is often evaluated using prospective cohort studies. For vitamin D, risk ratios (RRs) are based on health outcomes with respect to serum 25-hydroxyvitamin D [25(OH)D] concentrations measured at time of enrollment. Serum 25(OH)D concentrations vary over time, thereby diluting the effect of 25(OH)D for long follow-up periods. Inverse relationships between RR and follow-up period have been reported for all-cause mortality rate and cancer incidence rates. Here, the effect for neurological outcomes is evaluated. Methods: The analysis examines how follow-up period affected results from nine cohort studies of all-cause dementia, six studies of Alzheimer’s disease, and nine for cognitive impairment with respect to vitamin D deficiency. Results: For all-cause dementia, Alzheimer’s disease, and cognitive impairment, respectively, the linear regression fits are RR = 2.9 − 0.14 × years, r = 0.73, p = 0.02; RR = 2.9 − 0.14 × years, r = 0.69, p = 0.13; and RR = 1.8 − 0.066 × years, r = 0.72, p = 0.03. The regression fit to RR for the shortest follow-up period for each outcome is considered the best estimate of vitamin D deficiency’s effect on risk. Those values are approximately twice that found by averaging all RRs without considering the effect of follow-up period. Conclusions: Vitamin D’s effect on risk of neurological conditions is inversely correlated with mean follow-up period in prospective cohort studies. This effect should be considered in the design and analysis of such studies. Additional studies should also be conducted regarding raising serum 25(OH)D concentrations to reduce risk of brain function decline.Full article

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22 pages, 7210 KiB

Open AccessArticle

A Flyback Converter with a Simple Passive Circuit for Improving Power Efficiency

byWoo-Young Choi

Energies 2024, 17(18), 4729; https://doi.org/10.3390/en17184729 (registering DOI) - 23 Sep 2024

Abstract

This paper proposes an effective method to improve the power efficiency of the flyback converter in the continuous conduction mode (CCM). The proposed converter uses a simple passive circuit to reduce the switching power losses. The current through the output diode can be [...] Read more.

This paper proposes an effective method to improve the power efficiency of the flyback converter in the continuous conduction mode (CCM). The proposed converter uses a simple passive circuit to reduce the switching power losses. The current through the output diode can be shifted to a new branch where one diode, one inductor, and one auxiliary winding of the transformer are included. The output diode current can be reduced to zero for the zero-current switching of the output diode. The additional inductor is used to control the changing rate of the additional diode current to reduce the reverse-recovery current. Keeping the simplicity of the passive method, the proposed converter improves the power efficiency compared to the conventional converter. The circuit configuration and the operation principle are described. The design considerations are presented, including the simulation verification. The experimental results for a 45 W prototype are discussed to evaluate the performance of the proposed converter. The proposed converter has achieved a power efficiency of 93.5% for the rated load condition, improving the power efficiency. The applications of the proposed converter are also discussed for the future research directions.Full article

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