Hira Javed - Academia.edu (original) (raw)

Papers by Hira Javed

Chemistryselect, Mar 9, 2023

iRASD Journal of Energy & Environment

Pakistan is the world’s 5th most populated country. This growing population is causing numerous s... more Pakistan is the world’s 5th most populated country. This growing population is causing numerous social and environmental problems. By the increase in population, energy demand is increasing day by day. Pakistan, where majority of the population is living in rural areas is using uncleaned cooking fuel due to which CO2 emission is increasing that is further a cause of environmental degradation. Based on the data (for the period from 1980 to 2019) of World Development Indicators, this study intends to examine the association between urban population, and energy use with CO2 emission. Unit root test was applied to check stationarity of data and after checking the stationarity status of variables, ARDL (Auto regressive distributive lag model) techniques was applied on data. The outcomes of the study showed that trade openness, urbanization, and energy consumption have significant and positive effects on environmental degradation. This study suggest that government must plan population a...

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)

An important aspect of research is literature survey. Availability of large amount of literature ... more An important aspect of research is literature survey. Availability of large amount of literature across different domains trigger the need for optimized systems which provide relevant literature to researchers. We propose a search system based on keywords for text documents. This experimental approach provides a hierarchical structure to the document corpus. The documents are labelled with keywords using KEA (Keyword Extraction Algorithm) and are automatically organized in a lattice structure using Formal Concept Analysis (FCA). This groups the semantically related documents together. The hierarchical structure, based on keywords gives out only those documents which precisely contain them. This approach open doors for multi-domain research. The documents across multiple domains which are indexed by similar keywords are grouped together. A hierarchical relationship between keywords is obtained. To signify the effectiveness of the approach, we have carried out the experiment on Semeval-2010 Dataset. Results depict that the presented method is considerably successful in indexing of scientific papers.

Medical Oncology, Sep 7, 2022

2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)

In today's world, it has really become important to decipher the true, intended meaning of a ... more In today's world, it has really become important to decipher the true, intended meaning of a sentence. This is useful at various platforms like: reading and comprehending reviews of a product or the actual meaning of posts on social media. In that context, we try to find out the meaning of a word with respect to the sentence in which it is used. The conventional approach rests on the assumption that each word conveys a single meaning to the sentence but this is not always true. In such approaches the presence of puns goes undetected which can give erroneous results. Pun is a form of wordplay that exploits multiple meanings of a word or of similar sounding words[13]. Pun is deliberately used to produce intended humorous or rhetorical effect. Equivoque is designed to successfully detect the presence or absence of a pun word in a sentence and to locate as well as interpret its multiple meanings. This paper provides detailed approach in this direction.

Environmental Sustainability

Communications in Computer and Information Science, 2019

Latent Dirichlet Allocation (LDA) and its variant topic models have been widely used for performi... more Latent Dirichlet Allocation (LDA) and its variant topic models have been widely used for performing text mining tasks. Topic models sometimes produce incoherent topics having noisy words with high probabilities. The reason is that topic model suffers from binary weighting of terms, sparsity and lack of semantic information. In this work, a fuzzy document representation is used within the framework of topic modeling that resolves these problems. Fuzzy document representation uses the concept of Fuzzy Bag of Word (FBoW) that maps each document to a fixed length fuzzy vector of basis terms. Each basis term in the fuzzy vector belongs to all documents in the dataset with some membership degree. Latent Dirichlet Allocation is tailored to use fuzzy document representation and results are compared with regular LDA and term weighted LDA over short and long text documents on document clustering and topic quality tasks. LDA with fuzzy representation generates more coherent topics than other two methods. It also outperforms the other methods on document clustering for short documents and produces comparable results with term weighted LDA for long documents.

Objective: Despite modern innovations in therapies & prevention, infectious diseases are the main... more Objective: Despite modern innovations in therapies & prevention, infectious diseases are the main reason of mortality & weakness in the whole world. The main purpose of this research work is to find out the causes and the development of these diseases in the children of up to twelve years of age getting treatment in Allied Hospital, Faisalabad. Methodology: This is an elaborate retrograde research work. The collection of the information carried out from the records of eight hundred and ninety-two patients suffering from these diseases. This research work carried out at Allied Hospital, Faisalabad from during March to November 2017. SPSS software was in utilization for the analysis of the factors of spread and control of diseases. Results: About 892 patients out of 2105 admitted patients were the victims of infectious diseases. The most common infections were gastroenteritis, infection of urinary tract & pneumonia with 57.6%, 7.1% & 11% respectively. About 3% was the rate of mortality because of these infections. Conclusion: This research work lights the regular significance of these diseases in the central areas of Iran particularly gastroenteritis & pneumonia. The advancement in the conditions of hygiene of supply of water and regular use of the pneumococcal & vaccines of Haemophilus influenza are recommended.

Background: There is a decline in proper breast-feeding practices in Pakistan. Majority of the wo... more Background: There is a decline in proper breast-feeding practices in Pakistan. Majority of the women do not give exclusive breast feed to their children and waste colostrum. The objective of this study was to assess practices of exclusive breast feeding among mothers of under 5-year children attending a tertiary care hospital outpatient. Methodology: A cross sectional study was carried out on 258 mothers, who presented to Gynecological and Obstetrical OPD or ward and had at least one child between the age of 1 to 5. Questions regarding their demographic profile and breast-feeding practices were asked. Results: 221/250(88.4%) women had breast fed their children and 29/250 (11.6%) had not. Among them 110/250 (44%) practiced exclusive breast feeding and the rest either used formula milk or cow's milk along with breast milk. Only 41/250 (16%) women had given colostrum to their children, 153/250 (61%) had given Ghurti (a traditional pre-lacteal feed, mainly honey). Women who were uniparous, housewives, lived in joint families, belonged to middle class families and had vaginal mode of delivery had better breast-feeding practices than others. When grading and categorization of breast-feeding practices were done 41/250 (18.5%) had excellent practice, 69/250 (31%) had good and 111/250 (50%) had poor practice. Conclusion: The study emphasizes that there is a need to improve exclusive breast feeding and colostrum giving practices.

2018 International Conference on System Modeling & Advancement in Research Trends (SMART), 2018

The activity of procurement is one such activity that is not only crucial for any organization fr... more The activity of procurement is one such activity that is not only crucial for any organization from the fiscal point of view but also involves a great deal of lucubration both on human and software fronts. In this paper, we discuss about a chatbot developed to automate this tedious process. FinderBuddy is a procurement bot i.e. it is a chatbot designed to facilitate the procurement process in industries. (Here, FinderBuddy was designed for a simple office building where the bulk of work is on desk work. Hence the supplies in the database are predominantly stationery items and office supplies).It enables all the important features like issuing of desired items from the inventory, procuring best deals of materials from suppliers, etc. Apart from these, it also offers advanced features like processing natural language input (apart from accepting queries in a well-defined syntax), accepting voice input, delivering audio output, displaying items running short in the inventory, updating quantities of items in the inventory, tracking pre placed orders, changing orders still in processing, cancelling orders, reordering past orders, checking availability of various items in the inventory, review of past orders, spell check etc. Thus the chat bot provides all possible features to make the procurement process lucid, smooth and user friendly with least human intervention. The design involves crucial use of database concepts, Natural Language Processing, Web Scraping and Speech-to-Text (and vice versa) conversion. The implementation is carried out in Python and SQL using varied APIs.

An important aspect of research is literature survey. Availability of large amount of scientific ... more An important aspect of research is literature survey. Availability of large amount of scientific literature across different domains triggers the need for optimized systems which provide relevant literature to researchers. Scientific articles are indexed with keyphrases. These keywords or keyphrases give an insight of the entire scientific article. Labelled keyphrases help in organization of scientific papers and assist in further exploration and analysis. The presented work is a contribution to the large body of research on automatic extraction of keyphrases. This work makes use of sequence modelling approach of machine learning to identify entities in scientific articles and classify them into ‘Process’, ‘Task’ and ‘Material’. Features are extracted from scientific articles, and Conditional Random Field (CRF) is used to identify and classify the entities. To signify the effectiveness of the approach, we have carried out the experiment and evaluation on SemEval 2017 dataset. Result...

Collagenomas are benign connective tissue dermal hamartomas of unknown etiology, characterized by... more Collagenomas are benign connective tissue dermal hamartomas of unknown etiology, characterized by an imbalance in the distribution and amount of collagen in the extracellular matrix. Very few cases are reported in children as most cases are seen in young adults. Case of a five years old girl is described, who presented with asymptomatic, skin colored infiltrated papules and plaques on the face with no systemic involvement diagnosed as eruptive collagenoma.

2019 Twelfth International Conference on Contemporary Computing (IC3), 2019

Topic model based query focused text summarization methods can meet the user's needs as they ... more Topic model based query focused text summarization methods can meet the user's needs as they are able to find subtopics and their correlations. Topic model based summarization method does not score the sentences directly as they generates topics distributions, which are used to score the sentences. Graph based methods rank sentences using syntactic and semantic information. In this work, a topic model based summarization method namely two-tiered topic model is combined with graph based TextRank method. The combined method, called TextRank enhanced Two-Tiered topic model, uses the important sentences obtained from TextRank in the generative process of two-tiered model to extract better summary sentences. The proposed method's summary results outperform other topic model based summary results using ROUGE metrics evaluated on DUC 2005 dataset.

African Journal of Biotechnology, 2020

This study focused on the quantitative determination of Cu metal in various physical parts of fro... more This study focused on the quantitative determination of Cu metal in various physical parts of frogs by using the Atomic Absorption Spectrometry technique). Cu was measured (2.72±0.77 µg/g) in kidney of Rana tigrina captured from industrial site and in R. tigrina captured from non-industrial site (28.10±27.02 µg/g). Similarly, 27.56±9.92 µg/g Cu was discovered in liver of R. tigrina captured from industrial site and 6.56±3.06 µg/g in R. tigrina captured from non-industrial site. From the results of the present study, it may be concluded that frogs are good bio-indicator species to estimate the level of heavy metals pollution of various water sources in some countries.

SSRN Electronic Journal, 2020

Large amount of data is available in today’s world which can’t be stored in physical devices. Thi... more Large amount of data is available in today’s world which can’t be stored in physical devices. This data contains huge amount of redundant information which could be grouped together and categorized. We present a system which gives the degree of equivalence between two statements i.e. Semantic Textual Similarity (STS). Given two textual fragments, the goal of the system is to determine their semantic similarity i.e. how much are they similar in terms of their meaning. Our system makes use of four different measures of text similarity: 1. Word n-gram overlap. 2. Character n-gram overlap. 3. Se-mantic overlap. 4. Conceptual overlap. Using these measures as features, it trains a sup-port vector regression model on SemEval STS data. Evaluation is done using the Pearson Correlation Coefficient.

International Journal of Social Entrepreneurship and Innovation, 2013

Generation Y is a confident and ambitious group of young individuals that is globally connected a... more Generation Y is a confident and ambitious group of young individuals that is globally connected and politically active in its communities. Despite being a more conformist generation than those before them, Generation Y wants to determine its religiosity on its own terms. In a post-9/11 Western world, Muslim Generation Y is reclaiming its religious identity and, as a result, is energising the ‘Muslim’ brand. These enterprising young Muslims are changing the packaging to reflect a cooler, hipper, wittier, and more confident ‘Muslim’ persona. Novelty t-shirts are the medium that allows all members of this consumer base to put on this packaging and associate themselves with this energised brand called ‘Muslim’. Any product or service targeted towards Muslim Generation Y must also share this energy and reflect the energised ‘Muslim’ brand.

2013 5th International Conference on Computational Intelligence and Communication Networks, 2013

Social Network Analysis (SNA) is a technique for modeling the communication patterns between indi... more Social Network Analysis (SNA) is a technique for modeling the communication patterns between individuals in a way that illuminates the structure of the network and the importance of individuals within the network. SNA has gained a recent importance due to the appearance of various web 2.0 platforms like blogs, wikis, content and media sharing sites which consists of a huge collection of data. These data are vast, noisy, unstructured and dynamic in nature, so mining is performed on such data by various SNA methods and tools in order to extract actionable patterns which are useful for business, consumers, and users. This study is a part of the growing body of research on Social Network Analysis and uncovers hidden relationships in a facebook network. It gives a prospective view of the hidden attributes of the high degree nodes (users having greater number of friends) in the Facebook network. Results show that there is little association among high degree nodes.

World Journal of Biology and Biotechnology

Hyperlipidemia is linked to an elevated risk of atherosclerosis disease and managing this risk fa... more Hyperlipidemia is linked to an elevated risk of atherosclerosis disease and managing this risk factor is crucial. This study was aimed at investigation of high performance liquid chromatographic (HPLC) analysis and antihyperlipidemic effect of hydroalcoholic extract of seeds of the plant Cucumis sativus L in Wistar albino rats. The rats were divided into groups A, B, C and D. All the groups except group A were administered with diet having high cholesterol and given intraperitoneal injection of Triton X-100 to induce hyperlipidaemia. Group A served as normal. Group B served as hyperlipidemic control. Group C (standard) and D (plant treated) were administered with simvastatin (10 mg/kg) and hydroalcoholic extract of the plant (400 mg/kg) respectively daily for 7 days after one week of inducing hyperlipidemia. The biochemical parameters of all the groups were estimated after one week of administration of plant extract using kits of Roche Cobas C111 chemistry analyzer. Histological stu...

Pakistan journal of pharmaceutical sciences, 2018

Microwave and conventional techniques were employed to synthesize a novel array of compounds 7a-g... more Microwave and conventional techniques were employed to synthesize a novel array of compounds 7a-g with 1,2,4-triazole and piperidine rings having great biological importance. The microwave assisted method has a better operational scope with respect to time and yield comparative to the conventional method. 1H-NMR, 13C-NMR and IR techniques were employed to justify the structure of synthesized compounds. The antioxidant, butyrylcholinesterase inhibition and urease inhibition potential of every synthesized compound was evaluated. Every member of the synthesized series was found potent against mentioned activities. Compound 7g was the most active anti-urease agent having IC50 (μM) value 16.5±0.09 even better than the thiourea with an IC50(μM) value of 24.3±0.24. The better urease inhibition potential of 7g was also elaborated and explained by docking and bovine serum albumin (BSA) binding studies.

Czech Journal of Food Sciences

Proteins are the second most essential macromolecules after nucleic acids. This article aimed at ... more Proteins are the second most essential macromolecules after nucleic acids. This article aimed at the comparative analysis of extraction methods and nutritional benefits of milk and dairy products. Proteins form the body mass and perform several crucial tasks that include acting as a catalyst and carrying out different metabolic reactions in the body. Furthermore, protein acts as a transporter, transmits nerve impulses, provides mechanical support or immune protection, and controls growth. Several sources of proteins are present, but milk holds an important place due to its biological activities. The considerable health benefits of milk and its products are due to proteins. Yoghurt and cheese have significant importance among milk products. Proteins of milk and its products can be extracted by pH adjustment through homogenisation, centrifugation, and deproteinisation. There are several techniques for identifying and quantifying milk and product proteins. The Kjeldahl and spectrophoto...