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

Background: Pregnancy-related hormonal changes increase the risk of gingival inflammation and bleeding. Poor oral hygiene and dietary habits, such as frequent intake of sugary foods, may worsen this risk. Understanding the relationship between diet, oral hygiene, and gingival health in pregnant women is essential for improving prenatal care. This study aimed to assess dietary patterns, oral hygiene practices, and self-reported gingival bleeding among pregnant women attending the Mother and Child Hospital, Ondo, Nigeria. Methods: A descriptive cross-sectional study was conducted over four months among 216 pregnant women at the Mother & Child Clinic, University of Medical Sciences Teaching Hospital, Ondo, Southwest Nigeria. A structured, self-administered questionnaire collected data on sociodemographic characteristics, oral hygiene habits, perceived oral health conditions, and dietary patterns. Clinical oral examinations were conducted using the Oral Hygiene Index. Data were analyzed using SPSS version 25, with p < 0.05 considered significant. Results: Most participants (79.2%) were in their second or third trimester. Although 83.3% used toothbrushes and 52.3% brushed twice daily, 39.8% had poor oral hygiene, and 33.3% reported gingival bleeding. Despite 76.4% awareness of dental services, 53.2% had never visited a dentist. Most participants frequently consumed fruits (88.9%), vegetables (84.8%), and animal proteins (84.7%), while 43.0% consumed sugary drinks regularly. No significant association was found between dietary habits and gingival bleeding. Conclusion: The study revealed a clear awareness–behavior gap: good knowledge of oral health did not translate into optimal hygiene practices or dental visits. Poor oral hygiene remained common, and gingival bleeding was prevalent. Although most participants had healthy diets, sugary drink intake was still high. Diet alone was not protective against gingival bleeding. Promoting effective oral hygiene and integrating dental care into prenatal programs is recommended.

Karishma

The current study is carried out to evaluate the antiemetic activity of methanol extracts of five leguminous plants leaves viz., Cassia siamea Lamk., Cyamopsis tetragonoloba Taubert., Delonix regia Rafin., Samanea saman Merr. and Vigna trilobata Verdc. at a dose of 150 mg/kg body weight orally, using a chick emesis model. Emesis was induced in male chicks by the oral administration of copper sulphate (50 mg/Kg body weight). The antiemetic activity was determined by calculating the mean decrease in the number of retching as compare with the control. All the extracts showed antiemetic activity when compared with standard drug chlorpromazine (150 mg/kg body weight orally). Among all extracts, Delonix regia showed the highest (96.74%) and Cassia siamea lowest (18%) antiemetic activity.

Dr. salman ahmed

Tremendous growth has been incorporated in the field of composite materials in the current scenario where the engineering applications are highly demandable. Currently composites are being used to replace conventional metallic materials in a wide range of industries including aerospace, defense, aircraft, and textile which require structural materials with high strength-to-weight and stiffness-to-weight ratios. Also natural fiber composites are currently replacing synthetic fiber composites of different applications in various engineering industries due to their low cost and eco-friendly in nature. In this work, twisted kenaf, and twisted kevlar (aramid fibers) have combined together to enhance the mechanical properties and also to improve high impact resistance with less contribution of kevlar which is very high in cost categorized next to carbon fibers. Here, the hybrid composites (natural and aramid) are done by using hand layup method, and various mechanical properties have been investigated. Also, the morphological analysis is done to observe the internal structure of the tested composite. It is observed that hybrid composite has high strength with minimum contribution of kevlar fibers.

Boopathy govindarajan

Service quality is a key factor for success in any hotel. Many researchers have conducted studies on service quality, but only a few studies have been conducted on internal service quality (ISQ) in general, and in the hotel industry in particular. Since there is no general agreement among researchers on the measurement of ISQ, many studies have used SERVQUAL instrument to measure the employees’ perceptions of ISQ. The purpose of this study is to explore the influence of ISQ on employee’s job satisfaction in five-star hotels in Jordan. The current study was carried out by measuring the data gathered through a seven-point Likert scale. The quantitative survey method was applied, and therefore the SERVQUAL instrument was used to measure ISQ, and the Job Satisfaction Survey (JSS) was used to measure job satisfaction. Data obtained from a sample of 238 respondents drawn from 14 five-star hotels in Jordan were analysed with the SPSS software based on descriptive statistics. The study’s findings indicated that the ISQ of five-star hotels in Jordan has a significantly positive influence on an employee’s job satisfaction. These findings support the hypothesis that there is a positive relationship between ISQ in the hotel industry and industry employees’ job satisfaction.

Mukhles m. al-ababneh

One of the unique features of Indian society is prevalence of caste system which was originated thousands of years back to demarcate the people engaged in different occupation or jobs. Initially it was not much rigid but gradually people belonging to upper castes for their own selfish means to maintain their monopoly made this arrangement hereditary and started treating people of lower castes disgracefully. For preservation of this system, people started controlling their women to prevent inter-caste marriages and the concept of endogamy came up. This robbed away many types of freedom from women. For women belonging to lower castes, this situation is worse as they are doubly subjugated on the basis on caste as well as gender. Men belonging to their own caste treat them as secondary beings. This paper throws light on this intersection. How intersection of these two kinds of inequalities place them at the lowest position in Indian society. Dr. B.R. Ambedkar rises as their leader who all his life worked for empowerment of downtrodden section of society. He argues that education is the primary tool for evading these differences among people. He further emphasizes to adopt the concept of exogamy to break the backbone of Indian caste system and to immediately leave a religion or culture which legitimizes such system of inequality among people of the same land.

Swati sharma

Background/Objectives: Healthcare discrimination poses significant challenges to the health-related quality of life (HRQoL) of people living with type 2 diabetes (T2D). However, the role of social support in alleviating these effects has not been fully explored. Drawing on Cohen and Wills’ social support buffering model, this study examined whether social support moderates the association between healthcare discrimination and HRQoL among individuals with T2D. Methods: We analyzed data from 5180 adults with T2D enrolled in the All of Us Research Program. Healthcare discrimination was assessed using the modified Everyday Discrimination Scale (mEDS), social support with the Medical Outcomes Study Social Support Survey (MOS-SSS), and HRQoL (physical and mental domains) with the PROMIS Global Health Scale. Moderation analyses were conducted through linear regression models. Results: Greater exposure to healthcare discrimination was associated with poorer physical and mental HRQoL. Social support demonstrated a significant moderating effect on mental HRQoL: as social support increased, the negative association between healthcare discrimination and mental well-being weakened. However, this buffering effect was not observed for physical HRQoL. Conclusions: Findings suggest that social support can mitigate the adverse mental health consequences of healthcare discrimination among individuals with T2D. Interventions aimed at strengthening social support networks warrant investigation as potential strategies to improve the mental HRQoL of people with T2D who encounter discrimination in healthcare environments.

Emmanuel ekpor

Introduction: Apophyseal avulsion fractures of the pelvis predominantly occur in adolescent athletes due to skeletal immaturity. The anterior inferior iliac spine (AIIS) is a rare but characteristic site of injury. Case Presentation: We report the case of a 15-year-old male football player who sustained a traumatic avulsion of the right AIIS. The diagnosis was confirmed radiologically, and the patient was managed conservatively. Results: The clinical course was favorable, with a return to sports at three months. Conclusion: Early diagnosis and conservative management typically allow full recovery in most cases.

Mohamed mokhtar jmal

Unmanned aerial vehicles (UAVs) are aerial systems controlled remotely or autonomously by astronauts. Massive advancements in electronics and information technology have prompted the popularity and growth of UAVs. As a result of the huge advances made in electronics and information technology, civilian tasks can now be accomplished with UAV in a more effective, efficient, and secure way. Known as a drone, UAVs are developed and operated using a variety of technologies such as machine learning, computer vision, artificial intelligence, and collision avoidance. Having become more affordable and accessible, drone technology has become more popular among civilians. Therefore, this technology is constantly evolving and can be used across a variety of fields. The application of drones makes a huge difference in the most demanding and complex industrial environments such as those in the mining industry, maritime, oil, gas, and seaports. The usage of drones is increasing among industrialists to improve and optimize processes, as well as to enhance operational efficiency in industrial process. This chapter discusses UAVs on a wide range of topics, including evolution and historical perspectives of UAV, taxonomy of UAV, significance of UAV to society and industry, and industrial and academic perspectives on UAV.

Dr h shaheen

Bhaishajya kalpana is an art and science of preparing and dispencing medicine. Guggulu is a Niryasa (oily latex) achieved from small tree called Indian bedellium. Botanical name is commiphora mukul. Guggulu is an amorphous, translucent, solid adhesive, oleo-gum resin is produced by the process of gummosis from its plant. Many other Ayurvedic classics have mentioned various formulations of Guggulu for the treatment of various ailments. Bhashajya ratnawali followed various kalpana use for formuations. Guggulu kalpana is secondary formulations of bhaishajya kalpana. . Guggulu is one among the best binding agents and its used as single or compound drug in the form of pills, Formulations which contains Guggulu as main ingredient, they can be called as Guggulu kalpana. Here in Bhaishajya Ratnawali, Guggulu is used in yoga for both purposes, as a base and as well as medicament also.In bhaishajya Ratnavali Guggulu when modified into different formulations. It can also be used in many diseases along with different combinations of drugs with their anupana, Guggulu kalpana beneficial in treating many diseases. The Guggulu Kalpana is indicated in almost all the strotovikaras and also a number of research works have been proved the wide range of action of Guggulu .

Suri abhiram

Although, antibiotics play a fundamental role in control of infectious diseases still the injudicious prescription of antibacterial agents and antibiotic resistance are a global problem. This study aims to assess prescribing pattern of antibiotics and to provide a baseline data about behaviors of physicians prescribing antibiotics during pediatric consultations. In this study, a total of 316 pediatric patients of both genders were receiving different antimicrobial therapy were evaluated during 2021 in pediatric health care services in Bayda, Libya. Data revealed that the average of drugs prescribed was 4.10 per patient while the average of antimicrobials was 2.30 per prescription. Most of the antibiotics were prescribed for the respiratory tract infections (34.0%) and followed by the urinary tract infections (29.0%). Cephalosporins and penicillins were the most common antibiotics prescribed in this study. In conclusion, these findings show the presence of polypharmacy and inappropriate prescribing pattern. To improve and minimize the unnecessary prescribing of antimicrobial agents, a continuous training program for physicians, as well as engaged pharmacists in health care services are needed.

Mediterranean journal of pharmacy and pharmaceutical sciences

Rural Self Employment Training Institutes (RSETIs) functions as a structural framework for skill development & entrepreneurship development training laid down by Ministry of Rural Development, Government of India in the year 2009. The concept of RSETI is bagged from the RUDSETIs (Rural Development & Self Employment Training Institutes), the brain child of Dr. D. Veerendra Heggade. RSETIs have 65 approved courses as per National Skill Qualification Framework (NSQF) under which they offer different types of Entrepreneurship Development Programme (EDP). All the programmes are short term residential training with 2 (two) years hand holding support. State Level Bankers Committee data revealed that through the RSETI training, huge number of unemployed youths started their own enterprise with or without bank finance and also getting the scopes of Self-employment. This particular study took a humble effort to publicize the role of TGB-RSETI in Tripura in respect to unemployment reduction through entrepreneurship development. The entire study is based on secondary data (2009-10 to 2022-23) retrieved from SBLC, Tripura website data.

Md. abdur rahman choudhury

This paper proposes EPyNet, a deep learning architecture designed for energy reduced audio emotion recognition.In the domain of audio based emotion recognition, where discerning emotional cues from audio input is crucial, the integration of artificial intelligence techniques has sparked a transformative shift in accuracy and performance.Deep learning , renowned for its ability to decipher intricate patterns, spearheads this evolution. However, the energy efficiency of deep learning models, particularly in resource-constrained environments, remains a pressing concern. Convolutional operations serve as the cornerstone of deep learning systems. However, their extensive computational demands leading to energy-inefficient computations render them as not ideal for deployment in scenarios with limited resources. Addressing these challenges, researchers came up with one-dimensional convolutional neural network (1D CNN) array convolutions, offering an alternative to traditional two-dimensional CNNs, with reduced resource requirements. However , this array-based operation reduced the resource requirement, but the energy-consumption impact was not studied. To bridge this gap, we introduce EPyNet, a deep learning architecture crafted for energy efficiency with a particular emphasis on neuron reduction. Focusing on the task of audio emotion recognition, We evaluate EPyNet on five public audio corpora-RAVDESS, TESS, EMO DB, CREMA D, and SAVEE.We propose three versions of EPyNet, a lightweight neural network designed for efficient emotion recognition, each optimized for different trade-offs between accuracy and energy efficiency. Experimental results demonstrated that the 0.06M EPyNet reduced energy consumed by 76.5% while improving accuracy by 5% on RAVDESS, 25% on TESS, and 9.75% on SAVEE. The 0.2M and 0.9M models reduced energy consumed by 64.9% and 70.3%, respectively. Additionally, we compared our Proposed 0.06M system with the MobileNet models on the CIFAR-10 dataset and achieved significant improvements. The 1035 proposed system reduces energy by 86.2% and memory by 95.7% compared to MobileNet, with a slightly lower accuracy of 0.8%. Compared to MobileNetV2, it improves accuracy by 99.2% and reduces memory by 93.8%. When compared to MobileNetV3, it achieves 57.2% energy reduction, 85.1% memory reduction, and a 24.9% accuracy improvement. We further test the scalability and robustness of the proposed solution on different data dimensions and frameworks.

Jiby mariya jose

This study investigates the access and equity challenges faced by tribal students in higher education institutions in Telangana, India. Despite various governmental initiatives aimed at improving educational outcomes for tribal communities, significant disparities persist. This research employs a comparative analysis across selected universities in Telangana, focusing on enrolment rates, retention, academic performance, and support services tailored for tribal students. Data is gathered through a combination of quantitative surveys and qualitative interviews with students, faculty, and administrators to gain a comprehensive understanding of the barriers and facilitators affecting tribal education. The findings reveal systemic inequities related to socio-economic status, cultural relevance of curricula, and the availability of financial and academic support. Moreover, the study highlights successful practices and policies implemented by certain institutions that promote inclusive education and enhance access for tribal students. The results underscore the need for targeted interventions to create a more equitable higher education landscape in Telangana, ultimately contributing to the empowerment of tribal communities and their representation in the academic sphere.

Dr gedam kamalakar

The aim of the study was to explore the inhibition and modulation of calcium oxalate monohydrate crystals into calcium oxalate dihydrate by phytic acid. The study was carried out on glass slides using phytic acid (1 - 5%) solutions. All tested solutions inhibited the growth and modulated calcium oxalate monohydrate crystals. Donuts, rosettes and X-shape crystals of calcium oxalate monohydrate along with their defected forms were observed. The presence of calcium oxalate dihydrate crystals as elongated rods and tetragonal bipyramidal crystals revealed the modulated forms of calcium oxalate monohydrate. Smaller zones of nucleation are declared as general patterns of growth inhibition. This study gives valuable information about calcium oxalate crystals' inhibition and modulation patterns. Further studies are required to confirm the results of the present study.

Dr. salman ahmed

Identifying the targets for improving antimicrobial prescription and development of antimicrobial stewardship interventions can better serve to combat the situation of antimicrobial resistance. The primary objective was to determine the prevalence of antimicrobial use at tertiary care teaching hospital with both acute and long-term care patients. A periodical point prevalence survey was done in a tertiary care hospital of South India during 2019 using manual and webbased GLOBAL-PPS tool. Of 945 patients eligible for the study, 645 (69.5 %) received at least one antibiotic, with highest rates in the adult surgical ward and pediatrics. Of 645 therapeutic antibiotic prescriptions, 58.6% prescriptions have an infectious indication of them, 62.6% are community-acquired infections. Third-generation cephalosporins were the most prescribed antibiotics. The prevalence of antibiotic use is very high, and our study evidence that the country needs a robust antimicrobial stewardship intervention program.

Vineela chadalavada

Background: Preterm birth remains a leading cause of neonatal morbidity and mortality worldwide. Identifying its risk factors is essential for developing targeted interventions to improve maternal and neonatal health. This study investigated the sociodemographic, obstetric, medical, and lifestyle risk factors associated with preterm birth among women who delivered at Abia State University Teaching Hospital (ABSUTH), Aba, Southeast Nigeria. Methods: A hospital-based case-control study was conducted at ABSUTH. The study population comprised all the women who gave birth at the facility who met the criteria. Data were collected through structured interviewer-administered questionnaires and medical record reviews. Key variables included maternal age, education level, socioeconomic status, obstetric history, medical conditions, lifestyle factors, and antenatal care utilization. Descriptive statistics, chi-square tests, t-tests, and logistic regression were performed using SPSS version 25, with statistical significance set at p < 0.05. Results: A total of 9125 deliveries were recorded during the period of this study, including 1,962 cases (preterm births, <37 weeks gestation) and 7,163 controls (term births, ≥37 weeks gestation). Chi-square analysis showed significant associations between preterm birth and maternal age (p < 0.05), low education level (p < 0.001), low socioeconomic status (p = 0.0351), previous preterm birth (p < 0.001), short pregnancy interval (p < 0.001), hypertension (p < 0.001), diabetes (p < 0.001), infections (p < 0.001), smoking (p < 0.001), alcohol consumption (p < 0.001), and inadequate antenatal visits (p < 0.001). Logistic regression confirmed that hypertension, diabetes, infections, previous preterm birth, and inadequate antenatal visits were independent predictors of preterm birth. Conclusion: The findings highlight the multifactorial nature of preterm birth, with medical conditions, lifestyle behaviors, and inadequate antenatal care playing crucial roles. Early identification and management of these risk factors through improved maternal health services and health education may reduce the burden of preterm birth in the study setting.

Karishma

This study investigated workforce diversity and secondary school administration in Rivers state. The design for the study was the descriptive survey. Two research questions and two hypotheses were raised to guide the study. Mean and standard deviation statistics were used to answer the research questions while the hypotheses were tested at 0.05 level of significance using z-test statistics. A sample size of 667 respondents, representing 90% of the entire population of 741 principals and vice principals from all the 247 pubic senior secondary schools in Rivers state was drawn using the stratified random sampling technique. A researcher-designed instrument titled Workforce Diversity Management Questionnaire (WOFDIMQ) was used for data collection. The instrument was validated by experts in the area of measurement and evaluation at the University of Port Harcourt. The reliability index determined for the instrument using Cronbach Alpha was 0.82. The findings of the study revealed that secondary school administrators do have some administrative strategies put in place for the management of the diversities among teachers. It was therefore recommended among others, that the government should make some specific provisions that will guide school administrators in the management of diversities among teachers. Also, school administrators should develop operational plans and strategies that are based on their specific peculiarities that will help maximize the advantages of diversities among teachers, while at the same time, minimize the inherent disadvantages.

Fxintegrity publishing

In the world of yoga there are ―Eight limbs path‖ which helps in different aspects like coordination of body and mind and helps to create positivity of mind and help the body healthy and fit by which the functioning of the body improves. In today‘s modern life various type of disease and deformity takes place most of the things takes place due to unbalanced food, & other. The mind is always wondering and being rebellious, never focusing on the moment. It is the mind job to think, it is relentlessly interpreting everything. That is seen, perceived and experienced and this pattern of habit goes through change to behavior and attitude. Many people who practice yoga do so to maintain their health and well-being, improve physical fitness, relieve stress, and enhance quality of life. In addition, they may be addressing specific health conditions, such as back pain, neck pain, arthritis, and anxiety. Basically yoga has been more effective than control and waitlist control conditions, although not always more effective than treatment comparison groups such as other forms of exercise. More randomized controlled studies are needed in which yoga is compared to active exercise groups. Having established the physical and mental health benefits of yoga makes it ethically questionable to assign participants to inactive control groups. Shorter sessions should be investigated for cost-effectiveness and for daily practice.

Yatendra sharma

In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths world wide were attributable to exposure to particulate matter 2.5 μm (PM2.5). This study assessed the environmental burden of disease attributable to PM2.5 at the national level in Malaysia. We estimated the population-weighted exposure level (PWEL) of PM10 concentrations in Malaysia for 2000, 2008, and 2013 using aerosol optical density (AOD) data from publicly available remote sensing satellite data (MODIS Terra). The PWEL was then converted to PM2.5 using Malaysia's WHO ambient air conversion factor. We used AirQ+ 2.0 software to calculate all-cause (natural), ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) excess deaths from the National Burden of Disease data for 2000, 2008 and 2013. The averagePWELs for annual PM2.5 for 2000, 2008, and 2013 were 22 μg m-3, 18 μg m-3 and 24 μg m-3, respectively. Using the WHO 2005 Air Quality Guideline cut-off point of PM2.5 of 10 μg m-3, the estimated excess deaths for 2000, 2008, and 2013 from all-cause (natural) mortality were between 5893 and 9781 (95 % CI: 3347–12,791), COPD was between 164 and 957 (95 % CI: 95–1411), lung cancer was between 109 and 307 (95 % CI: 63–437), IHD was between 3 and 163 deaths, according to age groups (95 % CI: 2–394) and stroke was between 6 and 155 deaths, ac-cording to age groups (95 % CI: 3–261). An increase in estimated health endpoints was associated with increased estimated PWEL PM2.5 for 2013 compared to 2000 and 2008. Adhering the ambient PM2.5 level to the Malaysian AirQuality Standard IT-2 would reduce the national health endpoints mortality

Mohamad iqbal mazeli