Use of ICT and Students' Personal and Social Development at Higher Education Level

The substantive purpose of this study was to identify the effect of using ICT on students' personality development. Population of the study consisted of students of two universitiesof Lahore. Sample of the study comprised randomly selected 242 students. A self-developed and validated instrument was used for data collection. Instrument comprised two sections one contained demographic variables and other statements related to personality development of students.  A pilot study was conducted to validate the instrument. The reliability index (cronbach alpha) was .83 which is statistically significant. Data were analyzed through SPSS. t- test was run to identify mean difference in personality development of male and female students. ANOVA was applied to see mean difference in the responses of students, regarding their personality development in different programs. Results showed that use of ICT has a profound effect on Female students' personality. Results of ANOVA revealed that students of BBA department show more effect of ICT on their personality. Recommendations were made on the basis of findings

Supervised Learning Based Classification of Cardiovascular Diseases

Detecting cardiovascular disease (CVD) in the early stage is a difficult and crucial process. The objective of this study is to test the capability of machine learning (ML) methods for accurately diagnosing the CVD outcomes. For this study, the efficiency and effectiveness of four well renowned ML classifiers, i.e., support vector machine (SVM), logistics regression (LR), naive Bayes (NB), and decision tree (J48), are measured in terms of precision, sensitivity, specificity, accuracy, Matthews correlation coefficient (MCC), correctly and incorrectly classified instances, and model building time. These ML classifiers are applied on publically available CVD dataset. In accordance with the measured result, J48 performs better than its competitor classifiers, providing significant assistance to the cardiologists

Water Management for a Mega City: A Comparative Study of Selected Localities of Lahore

Pakistan falls in the category of water scarce countries. Lahore a major city of Pakistan, with a population of 12 million is likely to face serious water shortage in near future. The actual amount of water required for each domestic activity was pertinent in order to find the total consumption of water locality wise. One hundred families each from five selected localities were chosen for this survey. The Model town was selected as a model locality so that its findings and calculations can be generalized on other localities for comparison. It was found that for all daily indoor activities, 160.2 million liters (42 gallons) is the total quantity required. For all daily outdoor domestic activities, 487.92 million liters (128.9 million gallons) of water is to be made available. Results were examined and compared with other mega-cities, to learn from their experiences and plans to cope with the challenges in large cities

Dissecting Distinct Roles of NEDDylation E1 Ligase Heterodimer APPBP1 and UBA3 Reveals Potential Evolution Process for Activation of Ubiquitin-related Pathways.

Despite the similar enzyme cascade in the Ubiquitin and Ubiquitin-like peptide(Ubl) conjugation, the involvement of single or heterodimer E1 activating enzyme has been a mystery. Here, by using a quantitative Förster Resonance Energy Transfer (FRET) technology, aided with Analysis of Electrostatic Similarities Of Proteins (AESOP) computational framework, we elucidate in detail the functional properties of each subunit of the E1 heterodimer activating-enzyme for NEDD8, UBA3 and APPBP1. In contrast to SUMO activation, which requires both subunits of its E1 heterodimer AOS1-Uba2 for its activation, NEDD8 activation requires only one of two E1 subunits, UBA3. The other subunit, APPBP1, only contributes by accelerating the activation reaction rate. This discovery implies that APPBP1 functions mainly as a scaffold protein to enhance molecular interactions and facilitate catalytic reaction. These findings for the first time reveal critical new mechanisms and a potential evolutionary pathway for Ubl activations. Furthermore, this quantitative FRET approach can be used for other general biochemical pathway analysis in a dynamic mode

A Comprehensive Review of Acute Coronary Syndrome

A significant sign of coronary artery disease is the acute coronary syndrome (ACS). Angina pectoris, ST-elevation myocardial infarction, and non-ST-elevation myocardial infarction (NSTEMI) are just a few of the conditions that are grouped together under the general term “ACS.” The main cause of death worldwide is cardiovascular disease, which puts ACS under a heavy financial strain. Reduced blood flow to the heart, primarily as a result of plaque rupture and thrombus development, is a pathogenesis of ACS. Numerous risk factors, both modifiable (such as smoking, hypertension, diabetes, hypercholesterolemia, obesity, and inactivity) and non-modifiable (like age, gender, and inheritance), can lead to the development of ACS. Electrocardiography (ECG), clinical evaluation, history-taking, and cardiac biomarkers are all used in the diagnosis process. For the best management, prompt diagnosis and risk classification are essential. Reperfusion therapy, anti-anginal therapy, and renin-angiotensin blocking are a few of the suggested procedures in treatment techniques that aim to minimise myocardial ischemia and restore coronary blood flow. Long-term management also strongly depends on modifying one’s lifestyle, including giving up smoking, eating a healthy diet, getting regular exercise, and obtaining rehabilitation. Acute cardiac failure, ventricular septum or papillary muscle rupture, arrhythmias, recurrent angina, and other consequences of ACS are also highlighted in the paper. The prognosis varies depending on variables, including persistent myocardial injury and the existence of ventricular arrhythmias; an unfavourable prognosis is frequently related to arrhythmias and is associated with poor left ventricular function. . This article offers a thorough review of ACS and gives readers important information about its pathophysiology, risk factors, diagnosis, therapy, and prognosis

Deep learning for molecular thermodynamics

The methods used in chemical engineering are strongly reliant on having a solid grasp of the thermodynamic features of complex systems. It is difficult to define the behavior of ions and molecules in complex systems and to make reliable predictions about the thermodynamic features of complex systems across a wide range. Deep learning (DL), which can provide explanations for intricate interactions that are beyond the scope of traditional mathematical functions, would appear to be an effective solution to this problem. In this brief Perspective, we provide an overview of DL and review several of its possible applications within the realm of chemical engineering. DL approaches to anticipate the molecular thermodynamic characteristics of a broad range of systems based on the data that are already available are also described, with numerous cases serving as illustrations.Web of Science1524art. no. 934

Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions

Blockchain-based drug supply management (DSM) requires powerful security and privacy procedures for high-level authentication, interoperability, and medical record sharing. Researchers have shown a surprising interest in Internet of Things (IoT)-based smart cities in recent years. By providing a variety of intelligent applications, such as intelligent transportation, industry 4.0, and smart financing, smart cities (SC) can improve the quality of life for their residents. Blockchain technology (BCT) can allow SC to offer a higher standard of security by keeping track of transactions in an immutable, secure, decentralized, and transparent distributed ledger. The goal of this study is to systematically explore the current state of research surrounding cutting-edge technologies, particularly the deployment of BCT and the IoT in DSM and SC. In this study, the defined keywords “blockchain”, “IoT”, drug supply management”, “healthcare”, and “smart cities” as well as their variations were used to conduct a systematic search of all relevant research articles that were collected from several databases such as Science Direct, JStor, Taylor & Francis, Sage, Emerald insight, IEEE, INFORMS, MDPI, ACM, Web of Science, and Google Scholar. The final collection of papers on the use of BCT and IoT in DSM and SC is organized into three categories. The first category contains articles about the development and design of DSM and SC applications that incorporate BCT and IoT, such as new architecture, system designs, frameworks, models, and algorithms. Studies that investigated the use of BCT and IoT in the DSM and SC make up the second category of research. The third category is comprised of review articles regarding the incorporation of BCT and IoT into DSM and SC-based applications. Furthermore, this paper identifies various motives for using BCT and IoT in DSM and SC, as well as open problems and makes recommendations. The current study contributes to the existing body of knowledge by offering a complete review of potential alternatives and finding areas where further research is needed. As a consequence of this, researchers are presented with intriguing potential to further create decentralized DSM and SC apps as a result of a comprehensive discussion of the relevance of BCT and its implementation.© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

Immunomodulatory, antiglycation and anti-ulcerative properties of Ruellia squarrosa Fenzl Acanthaceae

Purpose: To evaluate the immunomodulatory, antiglycation and anti-ulcerative properties of Ruellia squarrosa Fenzl. Acanthaceae.Methods: Aerial parts and roots of Ruellia squarrosa were collected and extracted by maceration using dichloromethane and methanol as solvents. Luminol-enhanced chemiluminescence assay was used to evaluate immunomodulatory activity while antiglycation assay was performed by fluorescence method with rutin as standard. Anti-ulcerative activity was evaluated by enzymatic methods, namely, urease inhibition and carbonic anhydrase inhibition assays.Results: Dichloromethane extract showed immunomodulatory activity with half-maximal inhibitory concentration (IC50) of 39.48 ± 8.06 % using ibuprofen as standard and antiglycation effect (IC50 = 382.21 ± 3.43) using rutin as standard. The methanol extract of the aerial parts of the plant showed urease inhibition activity (IC50 = 130.2 ± 0.57) using thiourea as standard. The methanol extract of the aerial parts of the plant also showed carbonic anhydrase inhibition activity (IC50 = 1656.7 ± 0.08) using acetazolamide as standard.Conclusion: It was concluded from the present study that aerial and root extracts of the Ruellia squarrosa have significant immunomodulatory, antiglycation and anti-ulcerative properties.Keywords: Ruellia squarrosa, Immunomodulatory, Antiglycation, Anti-ulcerative activity, Carbonic anhydrase inhibition, Ureas