Anish Raj - Academia.edu (original) (raw)
Papers by Anish Raj
ISMRM Annual Meeting
The total kidney volume (TKV) increases with ADPKD progression and hence, can be used to quantify... more The total kidney volume (TKV) increases with ADPKD progression and hence, can be used to quantify disease progression. The TKV calculation requires accurate delineation of kidney volumes which is usually performed manually by an expert physician. However, this is time consuming and automated segmentation is warranted, e.g., using deep learning. The implementation of the latter is usually hindered due to a lack of large, annotated datasets.In this work, we address this problem by implementing the cosine loss function and a technique called Sharpness Aware Minimization (SAM) into the U-Net to improve TKV estimation in small sized datasets.
The prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) i... more The prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) is vital for early intervention. Currently, the accepted biomarkers are height-adjusted total kidney volume (HtTKV) with estimated glomerular filtration rate (eGFR) and patient age. However, kidney volume delineation is time-consuming and prone to observer variability. Furthermore, improvement in prognosis can be achieved by incorporating automatically generated features of kidney MRI images in addition to the conventional biomarkers. Hence, to improve prediction we develop two deep learning algorithms. At first, we create an automated kidney volume segmentation model that can accurately calculate HtTKV. Secondly, we use the segmented kidney volumes with the predicted HtTKV, age, and eGFR at the baseline visit. Here, we use a combination of convolutional neural network (CNN) and multi-layer perceptron (MLP) for the prediction of chronic kidney disease (CKD) stages >=3A, >=3B, and a ...
Diagnostics
Early detection of the autosomal dominant polycystic kidney disease (ADPKD) is crucial as it is o... more Early detection of the autosomal dominant polycystic kidney disease (ADPKD) is crucial as it is one of the most common causes of end-stage renal disease (ESRD) and kidney failure. The total kidney volume (TKV) can be used as a biomarker to quantify disease progression. The TKV calculation requires accurate delineation of kidney volumes, which is usually performed manually by an expert physician. However, this is time-consuming and automated segmentation is warranted. Furthermore, the scarcity of large annotated datasets hinders the development of deep learning solutions. In this work, we address this problem by implementing three attention mechanisms into the U-Net to improve TKV estimation. Additionally, we implement a cosine loss function that works well on image classification tasks with small datasets. Lastly, we apply a technique called sharpness aware minimization (SAM) that helps improve the generalizability of networks. Our results show significant improvements (p-value <...
Computed tomography perfusion (CTP) is used to quantitively evaluate the hemodynamics of the brai... more Computed tomography perfusion (CTP) is used to quantitively evaluate the hemodynamics of the brain parenchyma in the assessment of cerebrovascular diseases like stroke or vasospams. We explore the segmentation of cerebral arteries from dynamic CTP on an initial data set of 20 patients. We use a 3D U-Net in combination with ratio-based sampling to extract the arterial vessel tree from 4D data. We investigate the benefit of temporal data augmentation and skull stripping. A shift of time frames by up to three time points in combination with skull stripping increased the DSC by 19.3% and decreased the ASSD by 38.2%.
Journal of Adolescent Health
Journal of Pediatric and Adolescent Gynecology
Journal of American Association for Pediatric Ophthalmology and Strabismus, 2022
Advances in Energy Research, Vol. 1, 2020
In the current study, nickel oxide (NiO) nanoparticles have been synthesized via sucrose-derived ... more In the current study, nickel oxide (NiO) nanoparticles have been synthesized via sucrose-derived carbon sphere as a soft template derived from the hydrothermal treatment of sucrose. The size of the carbon sphere template is around 2–4 µm, and the derived NiO varied in size between 40 and 100 nm. The derived NiO-coated CNF has been used to coat glass fiber separator which works by effectively blocking and activating the lithium polysulfide thus resulting in the high capacity as well as high Columbic efficiency. The modified NiO/CNF employed cells provided a reversible capacity of 461.11 mAh g−1 along with the high Columbic efficiency of 92% at the end of 50 cycles. The cells also displayed high reversible capacities of 1105.74 mAh g−1, 800 mAh g−1, 603.92 mAh g−1, 415.49 mAh g−1 and 742.9 mAh g−1 at the end of 0.05C, 0.2C, 0.5C, 1C and 0.05C, respectively. The modified separator with its electrostatic interactions of lithium polysulfide with functional groups of CMC binder and electronegative part of NiO nanoparticles combined with the high surface area of carbon nanofibers provides a promising design for developing high-energy lithium–sulfur batteries.
Journal of Electronic Materials, 2019
Journal of Electronic Materials, 2019
Carbon materials are used as anode material in lithium-ion batteries (LiBs) due to their promisin... more Carbon materials are used as anode material in lithium-ion batteries (LiBs) due to their promising cyclic performance and high protection. Carbon material was produced by sucrose at high temperature in flowing argon. Carbon material was used as anode material in LiBs and exhibited the reversible capacity of 180 mA h/g at a specific current of 135 mA/g even at 100 charge-discharge cycles. Carbon material also exhibited the discharge capacity of 118 mA h/g after the 50th cycle and indicates the $ 93% capacity retention of the cell after the 50th cycle.
DAE SOLID STATE PHYSICS SYMPOSIUM 2018, 2019
Sodium-ion battery has shown hope in the field of future rechargeable battery technology due to i... more Sodium-ion battery has shown hope in the field of future rechargeable battery technology due to its low-cost and abundance. Among the existing anode materials, layered transition metal dichalcogenides have the potential for sodium-ion batteries due to their interesting properties such as specific capacity, structural stability, and accessible layered structure. Among the existing 2D layered materials Molybdenum ditelluride (MoTe 2) has the ability for sodiumion storage properties due to its comparative more interlayer spacing. In this study, the MoTe 2 polycrystalline powder sample has been synthesized by a solid-state route and the crystallographic and morphological analysis have been carried out by Synchrotron X-ray diffraction (SXRD), X-ray absorption near edge structure (XANES), FE-SEM, EDS etc. SXRD patterns have revealed the well crystalline structure of the material having the hexagonal structure. Further, X-ray absorption near structure (XANES) was conducted to study the electronic nature of MoTe 2 cycled electrodes to understand the needed electrochemical mechanism. The initial discharge capacity of the MoTe 2 powder showed an excellent capacity of Na-ion storage 326 mA h g −1 at a current density of 1.0 A g −1 and continued to 40 cycles with 264 mA h g −1 capacity. The obtained results showed the well-developed two-dimensional layers of MoTe 2 have the unique capability to deliver superior sodium-ion storage ability for its utility as an anode material for sodium-ion battery.
AIP Conference Proceedings, 2018
2D layered materials are found to be promising anode materials for renewable energy storage devic... more 2D layered materials are found to be promising anode materials for renewable energy storage devices like sodium and Li-ion batteries and have become attractive options due to their high specific capacity, abundance and low cost. In this work, we synthesized 2D MoTe2 layers embedded in reduced graphene oxide (rGO) anode material for sodium-ion battery applications. 2D MoTe2 was prepared by a solid-state reaction in vacuum at a temperature of 800 °C. The prepared composite material MoTe2/rGO showed excellent electrochemical performance against the sodium metal. The discharge capacity of MoTe2/rGO was observed to be 280 mAh g−1 at a current rate of 1.0 A g−1 for 100 cycles. rGO plays an important role in embedding the MoTe2 structure, thus improving the electrical and mechanical properties, leading to a superior cycling stability and excellent electrochemical performances of MoTe2 for sodium-ion battery applications.
AIP Conference Proceedings, 2018
2D layered transition metal dichalcogenides are considered as a potential anode for sodium-ion ba... more 2D layered transition metal dichalcogenides are considered as a potential anode for sodium-ion batteries due to their high specific capacity, structural stability and its well-developed two-dimensional layers. 2D layered structure Molybdenum ditelluride (MoTe2) provides a superior Na-ion storage properties in sodium ion battery due to its comparative more interlayer spacing (0.699 nm). In the current study MoTe2 polycrystalline powder sample has been prepared by solid state reaction process, the structural and morphological studies have been carried out by XRD, FE-SEM and EDS etc. XRD study revealsthe well crystalline structure of the material having hexagonal structure. FE-SEM and EDS studies depict the uniformflakes like structure of the material. When it is tested as sodium-ion battery anode by applying a potential window 0.1–2.5 V, the material demonstrates a high capacity and high power performances. The as prepared MoTe2 shows an initial discharge capacity of 376 mA h g−1 and a corresponding discharge capacity of 303 mA h g−1 after the 50th cycle at a current density of 500 mA g−1.2D layered transition metal dichalcogenides are considered as a potential anode for sodium-ion batteries due to their high specific capacity, structural stability and its well-developed two-dimensional layers. 2D layered structure Molybdenum ditelluride (MoTe2) provides a superior Na-ion storage properties in sodium ion battery due to its comparative more interlayer spacing (0.699 nm). In the current study MoTe2 polycrystalline powder sample has been prepared by solid state reaction process, the structural and morphological studies have been carried out by XRD, FE-SEM and EDS etc. XRD study revealsthe well crystalline structure of the material having hexagonal structure. FE-SEM and EDS studies depict the uniformflakes like structure of the material. When it is tested as sodium-ion battery anode by applying a potential window 0.1–2.5 V, the material demonstrates a high capacity and high power performances. The as prepared MoTe2 shows an initial discharge capacity of 376 mA h g−1 and a corresponding dischar...
Sustainable Energy & Fuels, 2018
Compared to organic electrolytes, C3mpyrTFSI based hybrid electrolytes enhance the electrochemica... more Compared to organic electrolytes, C3mpyrTFSI based hybrid electrolytes enhance the electrochemical performance of the NVP@C cathode material by forming a stable SEI layer in sodium batteries.
Vortex tube is one of the non-conventional type refrigerating systems for the production of refri... more Vortex tube is one of the non-conventional type refrigerating systems for the production of refrigeration. It is a simple device for producing low temperatures. Vortex tube is a simple energy separating device which is compact and simple to produce and to operate. Although intensive research has been carried out in many countries over the years, the efficiency is still low. In order to improve the energy separate efficiency of vortex tubes, a simple model have been created and performance study is done and various performance characteristics are observed and studied. The phenomenon of temperature distribution in confined steady rotating gas flows is called Ranque-Hilsch effect. The simple counter-flow vortex tube consists of a long hollow cylinder with tangential nozzle at one end for injecting compressed air. The flow inside the vortex tube can be described as rotating air, which moves in a spring-shaped vortex track. The peripheral flow moves toward the hot end where a hot end plu...
Clinical Pediatrics, 2019
Domestic minor sex trafficking (DMST), a subset of human trafficking, is defined as any exchange ... more Domestic minor sex trafficking (DMST), a subset of human trafficking, is defined as any exchange of a sex act for goods involving a minor (ie, <18 years of age) citizen or legal resident of the United States within the borders of the United States. 1,2 Despite the emerging recognition and research regarding trafficking, consensus on epidemiology, risk factors, and screening guidelines, especially in the pediatric population, remains elusive. Prior literature attributes the difficulty in researching youth involved in DMST to the clandestine nature of the sex industry, variations in terminology, limited training of providers, lack of established standards of practice, and nondisclosures by many survivors. 1 Efforts to generate a validated screening tool for DMST have often focused on the identification of involved minors, which may preclude the assessment of high-risk youth to prevent future victimization. 2 Conversely, universal screening methods, such as the HEEADSSS inventory, can overlook information that may be relevant for youth involved in DMST. 3 Utilizing clinical associations of DMST, pediatric providers can have a discussion with patients about commonly observed factors and potential involvement. A recent systematic review was conducted on 6 studies that aggregated risk factors that were associated with DMST involvement. 4 The strongest associations included minority race, LGBTQ orientation, history of household dysfunction, history of childhood maltreatment, and history of running away. 2 However, due to the lack of generalizability, these findings have not resulted in the development of standardized screening tools and clarification on which patients to screen. Health care provider awareness remains low with 63% to 83% of professionals acknowledging limited training on this subject 5,6 ; meanwhile it is estimated that up to 88% of survivors interface with a medical provider during the period of trafficking. 7 The purpose of the present study was to estimate previously identified predictors of DMST using a case-control design with a sample of confirmed DMST patients and a matched pair from a general pediatric primary care clinic at a tertiary academic institution.
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treeban... more Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). This release contains the test data used in the CoNLL 2017 shared task on parsing Universal Dependencies. Due to the shared task the test data was held hidden and not released together with the training and development data of UD 2.0. Therefore this release complements the UD 2.0 release (http://hdl.handle.net/11234/1-1983) to a full release of UD treebanks. In addition, the present release contains 18 new parallel test sets and 4 test sets in surprise languages. The present r...
Reference Module in Earth Systems and Environmental Sciences, 2017
The pressing need for green, renewable, alternative energy sources is due to the fast depletion o... more The pressing need for green, renewable, alternative energy sources is due to the fast depletion of fossil fuels, increasing demands for energy, and the adverse effects of the use of fossil fuel on the environment. The world is embarking on ambitious solar and wind energy projects, as they can meet future energy requirements. However, supplied energy from these sources is intermittent and weather-dependent. Therefore, it is necessary to store the energy generated from these sources for continuous supply. Thus, electrical storage technologies are essential for both storing excess power and for meeting peak power demands ( Tiwari and Mishra, 2011 ). The leading energy storage technologies include flywheels, superconducting magnetic energy storage, compressed air energy storage, water electrolysis and electrochemical energy storage devices such as batteries ( Alotto et al., 2014 ). However, high installation costs and poor efficiency are the major limitations of their widespread use. Batteries and electrochemical capacitors can be cost-effective and allow for flexibility in deployment. Battery technologies are also ideal for transportation where instant power needs to be available for the vehicle for reasonable lengths of time. They are inexpensive and ensure high levels of safety, reliability, and durability. They come in various sizes and capacities, suitable for stationary and portable applications over a broad spectrum of human activity ( Dunn et al., 2011 ).
International Journal of Computer Applications
Indian Journal of Physiotherapy and Occupational Therapy - An International Journal, 2015
ISMRM Annual Meeting
The total kidney volume (TKV) increases with ADPKD progression and hence, can be used to quantify... more The total kidney volume (TKV) increases with ADPKD progression and hence, can be used to quantify disease progression. The TKV calculation requires accurate delineation of kidney volumes which is usually performed manually by an expert physician. However, this is time consuming and automated segmentation is warranted, e.g., using deep learning. The implementation of the latter is usually hindered due to a lack of large, annotated datasets.In this work, we address this problem by implementing the cosine loss function and a technique called Sharpness Aware Minimization (SAM) into the U-Net to improve TKV estimation in small sized datasets.
The prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) i... more The prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) is vital for early intervention. Currently, the accepted biomarkers are height-adjusted total kidney volume (HtTKV) with estimated glomerular filtration rate (eGFR) and patient age. However, kidney volume delineation is time-consuming and prone to observer variability. Furthermore, improvement in prognosis can be achieved by incorporating automatically generated features of kidney MRI images in addition to the conventional biomarkers. Hence, to improve prediction we develop two deep learning algorithms. At first, we create an automated kidney volume segmentation model that can accurately calculate HtTKV. Secondly, we use the segmented kidney volumes with the predicted HtTKV, age, and eGFR at the baseline visit. Here, we use a combination of convolutional neural network (CNN) and multi-layer perceptron (MLP) for the prediction of chronic kidney disease (CKD) stages >=3A, >=3B, and a ...
Diagnostics
Early detection of the autosomal dominant polycystic kidney disease (ADPKD) is crucial as it is o... more Early detection of the autosomal dominant polycystic kidney disease (ADPKD) is crucial as it is one of the most common causes of end-stage renal disease (ESRD) and kidney failure. The total kidney volume (TKV) can be used as a biomarker to quantify disease progression. The TKV calculation requires accurate delineation of kidney volumes, which is usually performed manually by an expert physician. However, this is time-consuming and automated segmentation is warranted. Furthermore, the scarcity of large annotated datasets hinders the development of deep learning solutions. In this work, we address this problem by implementing three attention mechanisms into the U-Net to improve TKV estimation. Additionally, we implement a cosine loss function that works well on image classification tasks with small datasets. Lastly, we apply a technique called sharpness aware minimization (SAM) that helps improve the generalizability of networks. Our results show significant improvements (p-value <...
Computed tomography perfusion (CTP) is used to quantitively evaluate the hemodynamics of the brai... more Computed tomography perfusion (CTP) is used to quantitively evaluate the hemodynamics of the brain parenchyma in the assessment of cerebrovascular diseases like stroke or vasospams. We explore the segmentation of cerebral arteries from dynamic CTP on an initial data set of 20 patients. We use a 3D U-Net in combination with ratio-based sampling to extract the arterial vessel tree from 4D data. We investigate the benefit of temporal data augmentation and skull stripping. A shift of time frames by up to three time points in combination with skull stripping increased the DSC by 19.3% and decreased the ASSD by 38.2%.
Journal of Adolescent Health
Journal of Pediatric and Adolescent Gynecology
Journal of American Association for Pediatric Ophthalmology and Strabismus, 2022
Advances in Energy Research, Vol. 1, 2020
In the current study, nickel oxide (NiO) nanoparticles have been synthesized via sucrose-derived ... more In the current study, nickel oxide (NiO) nanoparticles have been synthesized via sucrose-derived carbon sphere as a soft template derived from the hydrothermal treatment of sucrose. The size of the carbon sphere template is around 2–4 µm, and the derived NiO varied in size between 40 and 100 nm. The derived NiO-coated CNF has been used to coat glass fiber separator which works by effectively blocking and activating the lithium polysulfide thus resulting in the high capacity as well as high Columbic efficiency. The modified NiO/CNF employed cells provided a reversible capacity of 461.11 mAh g−1 along with the high Columbic efficiency of 92% at the end of 50 cycles. The cells also displayed high reversible capacities of 1105.74 mAh g−1, 800 mAh g−1, 603.92 mAh g−1, 415.49 mAh g−1 and 742.9 mAh g−1 at the end of 0.05C, 0.2C, 0.5C, 1C and 0.05C, respectively. The modified separator with its electrostatic interactions of lithium polysulfide with functional groups of CMC binder and electronegative part of NiO nanoparticles combined with the high surface area of carbon nanofibers provides a promising design for developing high-energy lithium–sulfur batteries.
Journal of Electronic Materials, 2019
Journal of Electronic Materials, 2019
Carbon materials are used as anode material in lithium-ion batteries (LiBs) due to their promisin... more Carbon materials are used as anode material in lithium-ion batteries (LiBs) due to their promising cyclic performance and high protection. Carbon material was produced by sucrose at high temperature in flowing argon. Carbon material was used as anode material in LiBs and exhibited the reversible capacity of 180 mA h/g at a specific current of 135 mA/g even at 100 charge-discharge cycles. Carbon material also exhibited the discharge capacity of 118 mA h/g after the 50th cycle and indicates the $ 93% capacity retention of the cell after the 50th cycle.
DAE SOLID STATE PHYSICS SYMPOSIUM 2018, 2019
Sodium-ion battery has shown hope in the field of future rechargeable battery technology due to i... more Sodium-ion battery has shown hope in the field of future rechargeable battery technology due to its low-cost and abundance. Among the existing anode materials, layered transition metal dichalcogenides have the potential for sodium-ion batteries due to their interesting properties such as specific capacity, structural stability, and accessible layered structure. Among the existing 2D layered materials Molybdenum ditelluride (MoTe 2) has the ability for sodiumion storage properties due to its comparative more interlayer spacing. In this study, the MoTe 2 polycrystalline powder sample has been synthesized by a solid-state route and the crystallographic and morphological analysis have been carried out by Synchrotron X-ray diffraction (SXRD), X-ray absorption near edge structure (XANES), FE-SEM, EDS etc. SXRD patterns have revealed the well crystalline structure of the material having the hexagonal structure. Further, X-ray absorption near structure (XANES) was conducted to study the electronic nature of MoTe 2 cycled electrodes to understand the needed electrochemical mechanism. The initial discharge capacity of the MoTe 2 powder showed an excellent capacity of Na-ion storage 326 mA h g −1 at a current density of 1.0 A g −1 and continued to 40 cycles with 264 mA h g −1 capacity. The obtained results showed the well-developed two-dimensional layers of MoTe 2 have the unique capability to deliver superior sodium-ion storage ability for its utility as an anode material for sodium-ion battery.
AIP Conference Proceedings, 2018
2D layered materials are found to be promising anode materials for renewable energy storage devic... more 2D layered materials are found to be promising anode materials for renewable energy storage devices like sodium and Li-ion batteries and have become attractive options due to their high specific capacity, abundance and low cost. In this work, we synthesized 2D MoTe2 layers embedded in reduced graphene oxide (rGO) anode material for sodium-ion battery applications. 2D MoTe2 was prepared by a solid-state reaction in vacuum at a temperature of 800 °C. The prepared composite material MoTe2/rGO showed excellent electrochemical performance against the sodium metal. The discharge capacity of MoTe2/rGO was observed to be 280 mAh g−1 at a current rate of 1.0 A g−1 for 100 cycles. rGO plays an important role in embedding the MoTe2 structure, thus improving the electrical and mechanical properties, leading to a superior cycling stability and excellent electrochemical performances of MoTe2 for sodium-ion battery applications.
AIP Conference Proceedings, 2018
2D layered transition metal dichalcogenides are considered as a potential anode for sodium-ion ba... more 2D layered transition metal dichalcogenides are considered as a potential anode for sodium-ion batteries due to their high specific capacity, structural stability and its well-developed two-dimensional layers. 2D layered structure Molybdenum ditelluride (MoTe2) provides a superior Na-ion storage properties in sodium ion battery due to its comparative more interlayer spacing (0.699 nm). In the current study MoTe2 polycrystalline powder sample has been prepared by solid state reaction process, the structural and morphological studies have been carried out by XRD, FE-SEM and EDS etc. XRD study revealsthe well crystalline structure of the material having hexagonal structure. FE-SEM and EDS studies depict the uniformflakes like structure of the material. When it is tested as sodium-ion battery anode by applying a potential window 0.1–2.5 V, the material demonstrates a high capacity and high power performances. The as prepared MoTe2 shows an initial discharge capacity of 376 mA h g−1 and a corresponding discharge capacity of 303 mA h g−1 after the 50th cycle at a current density of 500 mA g−1.2D layered transition metal dichalcogenides are considered as a potential anode for sodium-ion batteries due to their high specific capacity, structural stability and its well-developed two-dimensional layers. 2D layered structure Molybdenum ditelluride (MoTe2) provides a superior Na-ion storage properties in sodium ion battery due to its comparative more interlayer spacing (0.699 nm). In the current study MoTe2 polycrystalline powder sample has been prepared by solid state reaction process, the structural and morphological studies have been carried out by XRD, FE-SEM and EDS etc. XRD study revealsthe well crystalline structure of the material having hexagonal structure. FE-SEM and EDS studies depict the uniformflakes like structure of the material. When it is tested as sodium-ion battery anode by applying a potential window 0.1–2.5 V, the material demonstrates a high capacity and high power performances. The as prepared MoTe2 shows an initial discharge capacity of 376 mA h g−1 and a corresponding dischar...
Sustainable Energy & Fuels, 2018
Compared to organic electrolytes, C3mpyrTFSI based hybrid electrolytes enhance the electrochemica... more Compared to organic electrolytes, C3mpyrTFSI based hybrid electrolytes enhance the electrochemical performance of the NVP@C cathode material by forming a stable SEI layer in sodium batteries.
Vortex tube is one of the non-conventional type refrigerating systems for the production of refri... more Vortex tube is one of the non-conventional type refrigerating systems for the production of refrigeration. It is a simple device for producing low temperatures. Vortex tube is a simple energy separating device which is compact and simple to produce and to operate. Although intensive research has been carried out in many countries over the years, the efficiency is still low. In order to improve the energy separate efficiency of vortex tubes, a simple model have been created and performance study is done and various performance characteristics are observed and studied. The phenomenon of temperature distribution in confined steady rotating gas flows is called Ranque-Hilsch effect. The simple counter-flow vortex tube consists of a long hollow cylinder with tangential nozzle at one end for injecting compressed air. The flow inside the vortex tube can be described as rotating air, which moves in a spring-shaped vortex track. The peripheral flow moves toward the hot end where a hot end plu...
Clinical Pediatrics, 2019
Domestic minor sex trafficking (DMST), a subset of human trafficking, is defined as any exchange ... more Domestic minor sex trafficking (DMST), a subset of human trafficking, is defined as any exchange of a sex act for goods involving a minor (ie, <18 years of age) citizen or legal resident of the United States within the borders of the United States. 1,2 Despite the emerging recognition and research regarding trafficking, consensus on epidemiology, risk factors, and screening guidelines, especially in the pediatric population, remains elusive. Prior literature attributes the difficulty in researching youth involved in DMST to the clandestine nature of the sex industry, variations in terminology, limited training of providers, lack of established standards of practice, and nondisclosures by many survivors. 1 Efforts to generate a validated screening tool for DMST have often focused on the identification of involved minors, which may preclude the assessment of high-risk youth to prevent future victimization. 2 Conversely, universal screening methods, such as the HEEADSSS inventory, can overlook information that may be relevant for youth involved in DMST. 3 Utilizing clinical associations of DMST, pediatric providers can have a discussion with patients about commonly observed factors and potential involvement. A recent systematic review was conducted on 6 studies that aggregated risk factors that were associated with DMST involvement. 4 The strongest associations included minority race, LGBTQ orientation, history of household dysfunction, history of childhood maltreatment, and history of running away. 2 However, due to the lack of generalizability, these findings have not resulted in the development of standardized screening tools and clarification on which patients to screen. Health care provider awareness remains low with 63% to 83% of professionals acknowledging limited training on this subject 5,6 ; meanwhile it is estimated that up to 88% of survivors interface with a medical provider during the period of trafficking. 7 The purpose of the present study was to estimate previously identified predictors of DMST using a case-control design with a sample of confirmed DMST patients and a matched pair from a general pediatric primary care clinic at a tertiary academic institution.
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treeban... more Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). This release contains the test data used in the CoNLL 2017 shared task on parsing Universal Dependencies. Due to the shared task the test data was held hidden and not released together with the training and development data of UD 2.0. Therefore this release complements the UD 2.0 release (http://hdl.handle.net/11234/1-1983) to a full release of UD treebanks. In addition, the present release contains 18 new parallel test sets and 4 test sets in surprise languages. The present r...
Reference Module in Earth Systems and Environmental Sciences, 2017
The pressing need for green, renewable, alternative energy sources is due to the fast depletion o... more The pressing need for green, renewable, alternative energy sources is due to the fast depletion of fossil fuels, increasing demands for energy, and the adverse effects of the use of fossil fuel on the environment. The world is embarking on ambitious solar and wind energy projects, as they can meet future energy requirements. However, supplied energy from these sources is intermittent and weather-dependent. Therefore, it is necessary to store the energy generated from these sources for continuous supply. Thus, electrical storage technologies are essential for both storing excess power and for meeting peak power demands ( Tiwari and Mishra, 2011 ). The leading energy storage technologies include flywheels, superconducting magnetic energy storage, compressed air energy storage, water electrolysis and electrochemical energy storage devices such as batteries ( Alotto et al., 2014 ). However, high installation costs and poor efficiency are the major limitations of their widespread use. Batteries and electrochemical capacitors can be cost-effective and allow for flexibility in deployment. Battery technologies are also ideal for transportation where instant power needs to be available for the vehicle for reasonable lengths of time. They are inexpensive and ensure high levels of safety, reliability, and durability. They come in various sizes and capacities, suitable for stationary and portable applications over a broad spectrum of human activity ( Dunn et al., 2011 ).
International Journal of Computer Applications
Indian Journal of Physiotherapy and Occupational Therapy - An International Journal, 2015