Comparing machine learning classification models on a loan approval prediction dataset

In the last decade, we have observed the usage of artificial intelligence algorithms and machine learning models in industry, education, healthcare, entertainment, and several other areas. In this paper, we focus on using machine learning algorithms in the loan approval process of financial institutions. First, we briefly review some prior research papers that dealt with loan approval predictions using machine learning models. Next, we analyze the loan approval prediction dataset we downloaded from Kaggle, which was used in this paper to compare several machine learning classification models. During this analysis, we observed that credit scores and loan terms are the attributes that probably most affect the result. Next, we divided the dataset into a training set (80%) and a test set (20%). We trained 27 various machine learning models in MATLAB. Three models were optimized with Bayesian optimization to find the best hyperparameters with minimum error. We used 5-fold cross-validation for the validations to prevent overfitting during the training. In the following step, we used the test set on trained models to measure the models' accuracy on unseen data. The result showed that the best accuracy both on validation and test data, more than 98%, was reached with neural networks and ensemble classification models.

Ladislav Végh Ladislav végh

Starr–edwards ball caged mechanical heart valves’ reverberations – need for a phoenix of analysis with a critical mindset

The mechanical heart valve prosthesis with a caged ball has been around for 60 years. It has since experienced changes and adjustments. The Starr–Edwards (SE) valve was a pioneer and was taken out of clinical use in the late 2000s. SE is reportedly close to or has reached the age of 50, according to numerous sources from around the globe. The author’s observations and review of the literature about thrombogenicity, pannus formation, left ventricular outflow tract obstructions, and infective endocarditis in the SE valves, which were reportedly higher before its clinical ending, were only an overestimation and were not supported by scientific data. However, it was less discussed in the article, along with potential benefits. The main reasons for its demise were its obtrusive size and unattractive shape. There have been several successful implantations of these valves in Asian nations and reports of fewer primary failures and unexpected cardiac fatalities. Therefore, there is a need for extensive data gathering, documentation, and more recent studies on these valves to prepare for a prospective revival of use with newer research, mainly when long-term durability is considered.

Karishma Karishma

Long-standing iron deficiency anemia could be a presentation of non-classical celiac disease: a case report and literature review

Celiac disease (CeD) is a complex disorder characterized by gastrointestinal (GI) symptoms as well as extraintestinal manifestations, sometimes difficult to diagnose. Commonly referred to as a childhood disease, adult CeD is a well-known entity that should be included in the differential diagnosis of chronic diarrhea or malabsorption syndrome. The pathogenesis involves a genetically mediated autoimmune pathway. In individuals with genetic susceptibility, the mucosa of the small intestine is damaged in response to foods containing gluten. The clinical presentation is variable and ranges from typical GI symptoms to extra-intestinal and systemic manifestations. Clinical improvement and restoration of the intestinal mucosa occur simply by eliminating gluten from the diet. We reported a case of CeD in a young man after 6 years of iron deficiency anemia (IDA), without asserting a clear etiology during this time. In our country, the search for CeD in patients with IDA is usually forgotten and we hereby put it in the spotlight.

Karishma Karishma

Liposomes for drug delivery - liposomes

Liposomes are a novel drug delivery system (NDDS), they are vesicular structures consisting of bilalyers which form spontaneously when phospholipids are dispersed in water. They are microscopic vesicles in which an aqueous volume is entirely enclosed by a membrane composed of lipid bilayers. NDDS aims to deliver the drug at a rate directed by the needs of the body during the period of treatment and direct the place of action. Liposomes are colloidal spheres of cholesterol non-toxic surfactants, sphingolipids, glycolipids, long chain fatty acids and even membrane proteins and drug molecules or it is also called vesicular system. It differs in size, composition and charge and drug carrier loaded with variety of molecules such as small drug molecules, proteins, nucleotides or plasmids etc. Few drugs are formulated as liposomes to improve their therapeutic index. Hence a number of vesicular drug delivery systems such as liposomes, niosomes, transfersomes and pharmacosomes are developed. The focus of this chapter is to the various method of preparation, characterization of liposomes, advantages and applications, etc. Liposomes for Drug Delivery - liposomes

Kamal Singh Kamal singh

A lightweight deep learning framework using resource-efficient batch normalization for sarcasm detection

Communication is not always direct; it often involves nuanced elements like humor, irony, and sarcasm. This study introduces a novel two-level approach for sarcasm detection, leveraging Convolutional Neural Networks (CNNs). Convolutional neural networks (CNNs) are crucial for many deep learning applications, yet their deployment on IoT devices is challenged by resource constraints and the need for low latency, particularly in on-device training. Traditional methods of deploying large CNN models on these devices often lead to suboptimal performance and increased energy consumption. To address this, our paper proposes an energy-efficient CNN design by optimising batch normalisation operations. Batch normalisation is vital for deep learning, aiding in faster convergence and stabilising gradient flow, but there has been limited research on creating energy-efficient and lightweight CNNs with optimised batch normalisation. This study proposes a 3R (reduce, reuse, recycle) optimisation technique for batch normalization. This technique introduces an energy-efficient CNN architecture. We investigate the use of batch normalization optimization to streamline memory usage and computational complexity, aiming to uphold or improve model performance on CPU-based systems. Additionally, we evaluate its effectiveness across diverse datasets, focusing on energy efficiency and adaptability in different settings. Furthermore, we analyze how batch normalization influences the performance and effectiveness of activation functions and pooling layers in neural network designs. Our results highlight batch normalization's ability to enhance computational efficiency, particularly on devices with limited resources.

Jiby Mariya Jose Jiby mariya jose

Educational intervention on knowledge of hypertension and lifestyle/dietary modification among hypertensive patients attending a tertiary health facility in nigeria

Patients’ knowledge of hypertension and treatment has been found to affect health outcomes of hypertension. This study aimed to assess the impact of therapeutic patients’ education on knowledge of hypertension and lifestyle/dietary modification among hypertensive patients in Nigeria. The study was conducted among 317 hypertensive patients randomized into controlled and intervention groups (158 vs 159, respectively) between March 2021 and February 2022. Baseline knowledge of the patients was assessed and intervention was provided for the intervention group with a structured educational program at a baseline and six months. Descriptive data were presented with a frequency table in percentage while the chi-square test and univariate logistic regression were used to determine the association between categorical variables. Out of the total number of 318 patients, 275 completed the study (response rate: 86.8%) with 136 in the control group and 139 in the intervention group. The mean age of the patients was 59.5 (±12.5) and patients > 60 years (49.5%) were the most frequent age category. The baseline knowledge score of hypertension was 9.8 (±2.6) and 9.3 (±2.6) on a scale of 16 points in the control group and intervention group, respectively (P = 0.060) while at six months 11.9 (±2.3) vs 10.8 (±2.4) (P < 0.001) and 12 months 12.6 (±2.5) vs 9.5 (±2.0) (P < 0.001), respectively. Knowledge of lifestyle/dietary modification in the control group and intervention group at baseline was 7.0 (±2.1) and 6.6 (±2.0), respectively, while at six months 7.5 (±1.5) vs 9.9 (±1.3) (P < 0.001) and at 12 months 7.2 (±1.5) vs 10.4 (±1.2), respectively. Marital status, body mass index, and family history of hypertension were associated with knowledge of hypertension and lifestyle/dietary modification (P < 0.001). The educational intervention provided was found to be associated with a significant improvement in knowledge of hypertension and lifestyle/dietary modification. The marital status of the patients, body mass index and family history of hypertension influenced patients’ level of knowledge.

Mediterranean Journal of Pharmacy and Pharmaceutical Sciences Mediterranean journal of pharmacy and pharmaceutical sciences

Improvement of injection conditions for zone electrophoresis of proteins in capillaries coated with n, n-didodecyl-n, n-dimethylammonium bromide

Fused silica capillaries treated with N, N-didodecyl-N, N-dimethylammonium bromide was used in capillary electrophoresis to separate basic proteins using ammonium acetate as BGE at pH 4.0, 70 mM. This surfactant forms a semi-stable coating that provides a strong anodic electroosmosis; however, such coating must regularly be regenerated to maintain efficiency and reproducibility. The temporal stability of the coating was greatly improved by a new procedure as described in previously study by our group. In this study, it is found such experimental conditions that the starting zone could be enriched without loss of sample. The injection of a short plug of the BGE diluted 100 times for 3 sec in 50 µm i.d. capillaries behind the sample zone at 15 kV gave the best performance, whereas, a plug of lower dilution degree (10 times) in 25 µm i.d injected for 3 sec at the same field strength gave the optimum results for this dimension. In conclusion, those conditions were found to effectively decrease the loss of sample and to give a higher separation performance in regard to peak efficiency and resolution compared to injecting the sample without a plug.

Mediterranean Journal of Pharmacy and Pharmaceutical Sciences Mediterranean journal of pharmacy and pharmaceutical sciences

Atlas of shear zone structures in meso scale

The Atlas of Shear Zone Structures in Meso-Scale illustrates the morphological characteristics of shear zones within the Himalayas that have been gathered by the author’s intensive field observations over the last decade. The book deals with various shear zone-related structures, produced in brittle and/or ductile regimes. The shear sense indicators and associated microstructures are also described.

Rajkumar Ghosh Rajkumar ghosh

Professional values, ethics, and professionalism of public relations practitioners

This study explores the influence of education, length of service, professionalism, and ethics on the professional values of public relations practitioners in Malaysia. A total of 427 questionnaires were distributed to public relations practitioners in Malaysia, and 322 questionnaires were returned. The study included 61% female respondents, and 39% male respondents. The study analyzed and identified the influence of professionalism and ethics on professional values of public relations practitioners. Additionally, the study examined whether education and experience influence professional values through professionalism, and code of ethics. Six hypotheses were tested to answer the research questions. The results from this study fully supported the hypotheses indicating that professionalism and ethics had an influence on professional values of public relations practitioners. The results also showed that education influenced both professionalism and ethics, and length of service influenced both professionalism and ethical practice.

Mohammed Fadel Arandas Mohammed fadel arandas

Schwannoma with an unusual anterior chest wall location: a rare case report

Chest wall schwannoma is a rare intercostal nerve tumor originating from Schwann cells. Here, we present a case of a 44-year old woman who presented with symptoms of cough, fever, and left-sided chest pain. A plain chest radiograph was unremarkable and was further evaluated with a contrast-enhanced chest computed tomography (CECT) scan, which showed a well-defined, encapsulated soft-tissue mass in the left anterior first intercostal space. The diagnosis of schwannoma was based on histopathological and immunohistochemical studies of tissue biopsies taken from the lesion. The patient was referred to a higher oncology center for further treatment where he received symptomatic treatment for the pain and cough after which he improved. The patient was discharged and followed up in the clinic. Six months later, the patient underwent another chest CECT, which revealed no growth in size from the first one. Therefore, it was decided to keep the patient in regular follow-up since the lesion remained stable in size.

Karishma Karishma

New mathematical model for software quality prediction of component-based software using shuffled frog-leaping algorithm

Customer satisfaction and profit making are the two motives that define software quality; therefore, software industry uses new technologies like component-based software engineering, re-engineering, etc., to make their software production more profitable. The proposed mathematical model is executed under ISO/IEC 9126 quality assurance model and justifies the definition of software quality given by IEEE 1061(1998). The model calculates the degree of stakeholder satisfaction (Q) by combining the quality attributes and it is validated using Shuffled Frog-Leaping Algorithm (SFLA) which improved the result by 2.46%

Dr deepak panwar

Customer satisfaction towards banking services with reference to corporation bank

The Banking sector influences the economic growth and development of the country both in terms of quality and quantity, there by adopting the various strategies for economic growth. Technological advancements and new initiatives of government have helped banks to provide efficient services to its customers all over the country. The study has been conducted to know the extent of problems faced by the bank customers, and their level of satisfaction towards the banking services provided by the Corporation Bank, Kodialbail Branch, Mangalore. 100 customers of the bank, who are the employees of Besant Institutions, are contacted and data was collected through questionnaire. Study revealed that 66% of respondents have faced problems in operating their bank accounts. 63% of the respondents have availed net banking facilities. Only 18% of the respondents are satisfied and 32% of respondents are neutral about the services of the bank. Some of the respondents provided valuable suggestions to improve the banking services.

Thara S Shetty Thara s shetty

Equity and equality in higher education-india calling…

Abstract Higher education in India is always a socio-political way and a powerful engine of social mobility. It adds to the benefits to society as more people earning Higher Education credentials. It is proven that college graduates earn more. They are less likely to be unemployed. They are more likely to vote, more likely to volunteer, and more likely to maintain good health. India as a Globalised and developing nation has been little systematically progressing on the educational front since its independence. The government is making progress in reaching out to all the classes of its society. The improvement in the country’s economic front has resulted in the upscaling of communication technology. The advent of the internet, have vastly leveraged the promotion of education across all verticals. But at the same time, the idea of Equity and Equality needs to be redefined in the present context of the newly established notion of ‘Inclusivity’. This paper deliberates on the various ideas and approaches of Higher Education in India on ‘Inclusivity’ in general and Equity and Equality in particular.

Dr. Preeti oza Dr. preeti oza

Development and experimental characterization of fibre metal laminates to predict the fatigue life

During the last two decades, the concept of Fibre Metal Laminates (FMLs) has been evolved to find solution to the requirement of improving mechanical properties and reducing structural weight of elemental components of aircraft structures. In this work FML is prepared using Al 2024 by placing alternately with glass/carbon/aramid Fibres. From experimental results of FML shows greater advantage in mechanical properties then aluminium monolithic layer and this composite fibre laminates individual. The FMLs tested in this work were made of 3 layers of 2024 T3 aluminium alloy 0.28 mm thickness and fibre mats. The 5-3/2 laminates of size 300x300 mm with 3 mm thick were prepared using Vacuum Assisted Resin Transfer Moulding (VARTM) in cold compaction and test specimen were cut by using abrasive water jet machining as per ASTM Standards. The adhesion between fibre and metal layer will play a major role in strength of FML. By keeping this in consideration FMLs were prepared without blow holes and capable of withstanding delamination while preparing specimens through water jet and during various tests employed. The fracture surfaces of destructed specimens are studied with help Scanning Electron Microscope (SEM) image. Similarly, the numerical simulation of all the tests were done using Ansys APDL 10.0 Software. It is observed that aramid FML have substantially stronger in longitudinal directions. Hence, more priority given in this paper to investigate tensile strength and fatigue life of aramid FML.

Boopathy Govindarajan Boopathy govindarajan

La théorie des intelligences multiples dans la formation initiale des enseignants

Dans notre système éducatif, l’accès à la formation pédagogique pour l’enseignement primaire est accessible aux personnes dotées du certificat de l’école primaire. Or, le système éducatif les plus performants organisent un dis- positif de pré-sélection afin de former les meilleurs pour assurer un enseigne- ment de qualité. Le recours à la théorie des intelligences multiples, est salutaire pour le recrutement des futurs enseignants dans notre système éducatif. A partir de cette théorie, la formation initiale des enseignants et leurs recrutements sont spécifiquement bordés de trois axes à savoir : interpersonnel, linguistique et lo- gique/mathématique, pourquoi mettre de côté les autres formes d’intelligences ? Or l’enseignant du primaire doit bénéficier aujourd’hui d’une formation totale.

Assanvo

The g-20 declaration: the new delhi declaration

The Delhi Declaration of G20 begins by stating that this is a “defining moment in history” and that G20’s decisions today will affect the future of the people and planet. Don’t dismiss this as typical diplomatic hyperbole, for this recognition of the importance of the moment, and the implications for the long-term, is central to understanding India’s historic Before it gets into the substantive elements across domains, the text, agreed upon in entirety by all 20 members, outlines the political, economic and environmental challenges that have engulfed the world. In a clear sign of India’s role in ensuring that the interests of both the global South, which constitute the marginalised within the international order, and the poor and vulnerable who constitute the marginalised within both rich and poor countries, is addressed, the text also lays out clear principles and priorities. The Indian presidency has made it clear that there will be no compromise between fighting poverty and fighting the climate crisis. And themes such as ensuring growth, getting sustainable development goals (SDGs) back on track, battling the climate crisis, preparing for health emergencies, reforming multilateral development banks (MDBs), dealing with the debt crisis, spreading digital public infrastructure (DPI), generating jobs, bridging the gender gap, and giving a voice to the global south dominate the letter and spirit of the document.

Dr Gedam Kamalakar Dr gedam kamalakar

Sorting of human mesenchymal stem cells by applying optimally designed microfluidic chip filtration

Human bone marrow-derived mesenchymal stem cells (hMSCs) consist of heterogeneous subpopulations with different multipotent properties: small and large cells with high and low multipotency, respectively. Accordingly, sorting out a target subpopulation from the others is very important to increase the effectiveness of cell-based therapy. We performed flow-based sorting of hMSCs by using optimally designed microfluidic chips based on the hydrodynamic filtration (HDF) principle. The chip was designed with the parameters rigorously determined by the complete analysis of laminar flow for flow fraction and complicated networks of main and multi-branched channels for hMSCs sorting into three subpopulations: small (<25>40 μm) cells. By focusing with a proper ratio between main and side flows, cells migrate toward the sidewall due to a virtual boundary of fluid layers and enter the branch channels. This opens the possibility of sorting stem cells rapidly without damage. Over 86% recovery was achieved for each population of cells with complete purity in small cells, but the sorting efficiency of cells is slightly lower than that of rigid model particles, due to the effect of cell deformation. Finally, we confirmed that our method could successfully fractionate the three subpopulations of hMSCs by analyzing the surface marker expressions of cells from each outlet.

Myung-suk chun

Optimizing grid-connected photovoltaic (pv) battery energy storage through multi-objective ant-lion optimization (moalo)

As the demand for renewable energy continues to rise, it becomes crucial to discover effective ways to enhance grid-connected photovoltaic (PV) battery energy storage systems. The Institute of Petroleum Studies (IPS) complex at the University of Port Harcourt in Rivers State, Nigeria, embarked on a quest to determine the optimal approach for optimizing their PV battery energy storage system. This research aimed to fulfill this need by employing a diverse research methodology, incorporating the innovative MOALO theory. To begin with, the research gathered primary and secondary data to construct models for the power grid, solarPV, and battery. Furthermore, it meticulously analyzed the load profile of the IPS complex, at the University of Port Harcourt. Leveraging the power of the MOALO theory.The researchers accurately sized the system and evaluated the potential outcomes of simultaneously interconnecting all loads. To gauge the system's performance, there was a calculation of various parameters such as economics, random walk, boundary conditioning, entrapping ants, and ant trap development. Remarkably, the outcome showed that the fitness responses between the two trial runs, facilitated by the integration of MOALO, were strikingly similar, revealing a typical concaveconnected shape, which is characteristic of a multi-objective solver. The optimal multi-objective cost implication of the system was estimated to be around 4,300 USD, with a power mismatch performance of approximately -1.7819e+09. Based on these compelling findings, the study concluded that MOALO serves as an impressive optimization tool capable of minimizing power mismatches and optimizing costs. Moreover, it recommended the generation of excess power as a means to achieve sustainability.

FXintegrity Publishing Fxintegrity publishing

Pharmacotherapy and associated risk factors for pulmonary tuberculosis

Tuberculosis is communicable disease which is common and often deadly infectious disease caused by mycobacterium tuberculosis. Tuberculosis continues to be a major public health problem in the world. The aim of this study is to assess prevalence and associated risk factors of pulmonary tuberculosis. Treatment and development of multidrug-resistant tuberculosis were also considered. Drugs for Pulmonary tuberculosis confirmed cases used in calculating tuberculosis prevalence in Libya which is obtained from archive department of Abu Seta Hospital. Data obtained from 427 files during 2019 determine the incidence and epidemiology of tuberculosis in Libya. For a total of 427 confirmed cases of pulmonary tuberculosis, about 75.0% of the cases were male and most of the patients (55.0%) were within the age group of 20 - 40 years old. Of the study patients, 114 patients (26.7%) were viral infected and most of the viral infected cases were in the age group of 20 - 40 years and the majority of this age group patients (n = 41, 53.2%) were infected with HIV/HCV, while the least percentage in this group age were infected with HIV/HBsAg (01.3%). Among 427 cases, 73 cases (17.1%) were comorbid with other chronic diseases. Of the 73 cases, 54 cases (74.0%) were diabetes mellitus whereas only 1.4% of them had bronchial asthma, Parkinsonism and renal failure. The drug therapy of active tuberculosis disease needs combination chemotherapy to escape the selection of naturally occurring drug-resistant mutants. Amongst current anti tuberculosis drugs, the rifamycins hold the highest potential for shortening treatment and improving effects. Prevalence of smear positive tuberculosis and bacteriologically confirmed that a high rate of tuberculosis among unemployed population. This study reported that the highest incidence rate is found in people who are smokers.

Mediterranean Journal of Pharmacy and Pharmaceutical Sciences Mediterranean journal of pharmacy and pharmaceutical sciences

A linear programming integer model for cellular manufacturing layout design with machine flexibility and dynamic criteria

The Cellular Manufacturing is adopted in batch type manufacturing industries nowadays for their production with increased productivity, less cost and time with effective control. The proposed optimization model is used to determine the cost of machine cells, i.e., machine duplication, part subcontract, inter intra cellular movements cost and cost of production associated with machine cell, such as machine reconfiguration and part inventory considering machine flexibility for various time periods. Initially, a mathematical model is proposed to calculate machine cell cost with and without considering machine flexibility, and then another lpp integer model is proposed to calculate the machine cell production and associated cost for the changes in the time period, part type, and volume considering machine flexibility. The manufacturing data in the incidence matrix and machine cell, and part family data in the block diagonal form are given as input to the optimization programming language Cplex and the output is given for the two mathematical models. The data relating to machine duplication, part subcontract, inter intracellular movement; machine reconfiguration, and part inventory are given. Two-dimensional shop floor layouts are presented in rectilinear coordinates for all the problems for easy analysis of material movement length and shop floor area

S RAMESH S ramesh

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