bluuebunny/crossref_metadata_2025 huggingface dataset:
Značaj i vrijednosti Vase Pelagića za razvoj savremene pedagoško-didaktičke misli
Authors:   University of East Sarajevo, Faculty of Philosophy, Pale, Republic of Srpska, Škipina Daliborka B. , Kovačević Branka S.
Published: November 2022

The paper aimed to explain the significance and values of Pelagićʼs ideas, opinions, attitudes, and views of school reform, teaching, and overall education for the development of contemporary pedagogical and didactic thought. The significance and values of Pelagićʼs pedagogical ideas for contemporary upbringing and education are reflected primarily in his pointing out and drawing attention to the importance of educating children and youth, to the entire education system, as well as to improving the material and technical conditions of school and teaching (equipping school facilities and arranging school environment), including the fact that he considered these issues to be primary social problems. Important and valuable for contemporary didactics are Pelagić's ideas about the suitability of teaching content for the age, mental and other characteristics of students, thorough preparation of teachers for lessons, commitment to freedom, democracy, and solidarity through teaching, and pointing out the weaknesses of the application of teaching methods that have not been eliminated yet. Some of Pelagićʼs ideas about the application of principles in teaching have been incorporated into contemporary teaching characterized by a democratic and humanistic spirit.
Experiential Pedagogical Method in Primary School
Authors:   University of Primorska, Faculty of Education, Koper,, Krajnčan Mitja
Published: November 2022

As the primary school is not only a training ground for the theoretical preparation of students for life, its practical component is equally important. Unfortunately, the latter is performed very little or almost never, though it has a very strong impact on the childʼs self-esteem, physical development, and his personality as a whole. In this article, we analyzed the so-called “experiential pedagogical weekend” containing the main elements of experiential pedagogy which help to improve students’ self-confidence, self-esteem, as well as their peer relationships. It is with the latter that the greatest progress is expected after the weekend.
Ne(empatičnost) počinilaca vršnjačkog nasilja – savremeni socijalno-pedagoški izazov u zaštiti dece
Authors: Sretić Sanja
Published: November 2022

Peer violence is a burning issue which has attracted permanent attention of the professional and general public for years. Speaking in terms of the ongoing Covid-19 pandemic, it could be said that there has been a pandemic of peer violence in its various forms for a long time. The increasing cruelty among young people implied the need for the presentresearch in order to determine the expression of empathy among perpetrators of peer violence who are registered in primary and secondary schools in Niš and its surroundings, as well as in the Center for Social Work in Niš and Svrljig. Quantitative research method and scaling techniques were used in the research. The obtained results partially confirmed the general hypothesis, as higher scores were obtained on the cognitive dimension in relation to the affective dimension of empathy, i.e. verbal and physical aggression stood out as significant predictors of empathy in perpetrators of peer violence. The obtained research results imply the need for intensive promotion of empathy and prosocial development through programs for the development of social and emotional competencies of young people.
Razvoj deteta školskog uzrasta kao rezultat partnerstva porodice i škole – teorijsko-metodološki pristup
Authors:   University of Niš, Faculty of Philosophy, Maksimović Jelena Ž. , Osmanović Zajić Jelena S. , Veljković Jasmina S.
Published: November 2022

Over the years, a partnership between family and school has become a very current topic on which discussions are held, various lectures and seminars are given. That is, it is an important point of interest for many profiles of experts. A child has his/her primary roots in the family, after which s/he strengthens them in school. The interaction established in the family is of great importance for the development, behavior and success of a young person in the future and in school. The paper lays emphasis on the child development which is greatly influenced by mutual cooperation of the two basic foundations of society, namely family and school. The functioning of an individual depends on the personalities of teachers and parents, as well as on their mutual agreement, that is, the attitudes of parents and teachers towards their communication are of great importance for the success of a child. Therefore, the goal is to involve parents as much as possible in school life and work, as well as to make school more familyoriented. Since school represents a new environment for an individual and since parents are the initiators of the development of a young person, their mutual understanding and willingness to cooperate are necessary. Conversely, any disagreement, lack of interest or initiative may be an obstacle and hinder the child development in every way.
Sistemski pristup porodici – implikacije za praksu u uslovima epidemije kovid-19
Authors:   University of Kragujevac, Faculty of Education in Užice, Nikolić Natasa  M.
Published: November 2022

This paper will discuss the systemic family theory and its implications for practice during the covid-19 epidemic. This theory views the family as a dynamic system inextricably linked with other social systems. It is a system that is much more than the sum of its parts and has its own structure, hierarchy, boundaries, and throughout its life cycle it encounters numerous developmental and non-developmental crises. The covid19 epidemic represents a global crisis with a series of consequences for social relations, family functioning, and peopleʼs mental health. The paper will also consider the concept of family/systemic resilience, i.e. processes that contribute to protecting the family and its members in times of crisis. Given that the family and its members are not isolated, the social, national, and global levels must contribute to strengthening the familyʼs resilience process and thus contribute to the resilience of individuals. With that in mind, we will propose different types of social assistance to the family, such as strengthening spirituality as a mechanism of resilience, mastering communication skills, teaching active listening, etc
Status istraživanja komunikacione kompetentnosti nastavnika u proteklih deset godina
Authors:   University of Kragujevac, Faculty of Education in Užice, Zlatić Lidija
Published: November 2022

The complexity of new teachers’ roles during their continuous professional development requires equally developed communication skills. The paper presents a short theoretical framework of the development of teachersʼ communication competences, and its primary aim was the selection and analysis of papers in the field of the development of teachersʼ communication competence within the past decade, usingprimarily samples in higher education. To this end, content analysis was carried out. The results show great heterogeneity and diversity in terms of approaches to studying and improving the communication competence of teachers and future teachers. There is a need for a more precise definition of these competences in order to emphasize the importance of communication in higher education teaching.
A contemporary review on pharmacognosy and pharmacological activities of mentha arvensis.
Authors: C.B Hamsa. , B Aishwarya , D Roopa , M Rupesh Kumar , DR Bharathi , Syed Agheer Ahmed
Published: November 2022

Mentha arvensis belongs to the family Lamiaceae, it is also called Japanese menthol mint. This plant is endemic to Japan, as well as other parts of Europe, Central Asia, and Eastern Siberia. The pharmacological activity of M. arvensis is anti-microbial, anti-ulcer, radioprotective, cardiovascular, antioxidant activity, anti-allergic activity, and antidiabetic activity, cytotoxic properties, which are consistent with the plant's ethnopharmacological applications. Menthol is obtained from plant leaves of M. arvensis. Natural menthol is widely used in foods, confections, and cigarettes because of the cooling impact it has on the skin and mucous membranes of various body organs. Traditionally it is used as a contraceptive, carminative, antispasmodic, anti-peptic ulcer healing agent, and as a treatment for cough and cold. M. arvensis also used to treat liver and spleen illnesses, as well as asthma and jaundice. The leaf extract is used to treat rheumatoid arthritis, treat infections, and prevent mosquitoes.
Seroepidemiology of Dengue Virus Infection Among Adults in Singapore
Authors: Yew Yik Weng , Ye Tun , Ang Li Wei , Ng Lee Ching , Yap Grace , James Lyn , Chew Suok Kai , Goh Kee Tai
Published: November 2022

Introduction: To determine the seroepidemiology of dengue virus infection in a representative sample of the adult resident population aged 18 years old to 74 years old in Singapore and to estimate the proportion of asymptomatic dengue infection during the 2004 epidemic.

Materials and Methods: The study was based on 4152 stored blood samples collected between September and December 2004 from participants aged 18 years old to 74 years old during the 2004 National Health Survey. Sera were tested for IgG and IgM antibodies using a commercial test kit (PanBio Capture/Indirect ELISA).

Results: Of the study population, 59.0% and 2.6% tested positive for dengue IgG (past infection) and IgM/high-titre IgG (recent infection), respectively. Only 17.2% of young adults aged 18 years old to 24 years old were dengue IgG positive. Multivariate analyses showed that older age, Indian ethnicity and male gender were significantly associated with past infection, whereas only age was significantly associated with recent dengue infection. Based on the dengue cases notified during the period of survey, it was estimated that for every 23 individuals recently infected with dengue, only 1 was reported to the health authority as a clinical case.

Conclusion: The Singapore population is highly susceptible to dengue epidemics despite its aggressive Aedes prevention and control programme. The finding of a high proportion of unreported cases due to asymptomatic and subclinical infection poses a challenge for dengue control.

Key words: Aedes control, Asymptomatic infection, Herd immunity
Where the Elderly Die: The Influence of Socio-Demographic Factors and Cause of Death on People Dying at Home
Authors: Beng Arthur KL , Fong Chee Weng , Shum Eugene , Goh Cynthia R , Goh Kee Tai , Chew Suok Kai
Published: November 2022

Introduction: The place of death of the elderly has implications on the overall healthcare delivery system. The aim of this study is to describe where deaths of elderly occur in Singapore and to determine the association of socio-demographic characteristics and the causes of death on dying at home.

Materials and Methods: Data of 10,399 Singapore resident decedents aged 65 years and above in 2006 were obtained from the national Registry of Births and Deaths. Distributions of socio-demographic characteristics and causes of death by place of death were analysed, and associations between socio-demographic characteristics and home death for major causes of death were assessed by logistic regression models controlling for age, gender and ethnic group.

Results: Most elderly deaths occurred in hospitals (57%), followed by deaths at home (31%). The proportion of deaths at home increased with age while deaths in hospital declined with age. Significantly more elderly women died at home compared to men. Malay elderly had the highest proportion of home deaths (49%), and the lowest proportion of hospital deaths (47%). Elderly persons who died from stroke were most likely to die at home [odds ratio (OR) 2.8, 95% confidence interval (CI), 2.3-3.3] while those who died from lung and respiratory system diseases were less likely to die at home (OR, 0.7; 95% CI, 0.6-0.8).

Conclusion: Elderly people in Singapore die mainly in hospitals. About a third of them die at home. The proportion of decedents dying at home increased with age. Home deaths among the elderly are most likely in those aged 85 years and above, females, Malays, and those who die of stroke.

Key words: Ethnicity, Gender, Hospital, Place of death, Singapore
A Report from the Singapore Childhood Cancer Survivor Study (SG-CCSS): A Multi-institutional Collaborative Study on Long-term Survivors of Childhood Cancer, Initial Analysis Reporting for the SG-CCSS
Authors: Aung LeLe , Chan Yiong Huak , Yeoh Eng Juh , Poh Lin Poh Lin , Quah Thuan Chong
Published: November 2022

Introduction: Worldwide, the survival rates among childhood cancer patients are increasing. As such, assessing the risk of late effects and complications are increasingly becoming more important. The degree of risk of late effects may be influenced by various treatment-related factors.

Materials and Methods: The Singapore Childhood Cancer Survivor Study (SG- CCSS) consists of all individuals who survived at least 2 or more years after treatment for cancer diagnosed during childhood or adolescence. Phase I of SG-CCSS is the identification of all eligible patients between 1981 and 2005.

Results: There were a total of 1440 patients registered in the Singapore Childhood Cancer Registry. Among these, 704 (48.9%) patients were from the KK Women’s and Children’s Hospital (KKH) and 626 (43.5%) were from the National University Hospital (NUH). Of all the registered patients, the most common cancer in childhood was leukaemia [42.6% (n = 613)] and the second most common was brain tumour [14.9% (n = 215)]. A total of 1043 (72.4%) patients were surviving, of whom 839 (80.4%) were long-term survivors. Haematological malignancies were found in 492 (58.6%) survivors whilst 347 (41.4%) were diagnosed with various solid tumours. Among leukaemic patients (n = 613), 65.6% (n = 402) were long-term survivors. Acute lymphoblastic leukaemia (ALL) (n = 484) had the highest percentage of [80.9% (n = 392)] of surviving patients, of whom 73.4% were long term-survivors. For brain tumour (n = 215), there were 95 (44.2%) long-term survivors.

Conclusion: Preliminary analysis revealed that 58.3% of patients were long-term survivors. Our hope is to tailor all future therapy for childhood cancers, optimising cure rates whilst minimising long-term side-effects.

Key words: Late effects
An Update of Paediatric Intussusception Incidence in Singapore: 1997-2007, 11 Years of Intussusception Surveillance
Authors: Tan Nancy , Teoh Yee-Leong , Phua Kong-Boo , Quak Seng-Hock , Lee Bee-Wah , Teo Harvey James EL , Jacobsen Anette , Boudville Irving Charles , Ng Timothy , Verstraeten Thomas , Bock Hans Ludwig
Published: November 2022

Introduction: Understanding baseline epidemiology of intussusception (IS) in different geographical settings is important for the safety assessment of rotavirus vaccines. This paper presents IS surveillance data from Singapore between 1997 and 2007, including the period between November 2005 and December 2007 when rotavirus vaccines (primarily Rotarix™) were available to newborns in Singapore. Materials and Methods: Case ascertainment, collection, analyses and presentation of IS data was done as per recommendations of the Brighton Collaboration Working Group. For estimating the IS incidence rate in infants, live births for the years of the study were used as denominators, while for incidence in children age <2 years, the expected numbers of infant deaths occurring between 1 and 2 years of age was deducted from the combined live births for the 2 years, to obtain the denominator. Results: The incidence of IS among children aged <1 year throughout this 10-year period was higher than the incidence of IS in children between 1 and 2 years of age. In 2005, 2006 and 2007, the incidence of IS per 100,000 was 39.9, 26.4 and 35.6 in children aged <1 year and 26.2, 23.8 and 28.7 in children <2 years. Conclusion: This IS surveillance study provides reassuring preliminary evidence that there is no increase in the incidence of IS in Singapore after the introduction of rotavirus vaccines (including Rotarix™) in Singapore. Key words: Epidemiology, Incidence, Rotarix, Rotavirus
Retinoblastoma: A Recent Experience at the National University Hospital, Singapore
Authors: Aung LeLe , Khyne ToeToe , Yeoh Allen EJ , Quah Thuan Chong , Ta Ah Moy
Published: November 2022

Introduction: Retinoblastoma is a very rare disease. There were 30 cases of retinoblastoma diagnosed and treated at National University Hospital (NUH).

Materials and Methods: A retrospective chart review was performed on the medical records of 30 patients who were diagnosed with retinoblastoma between 1995 and 2008 at the Department of Paediatrics, National University Hospital, Singapore.

Results: The median age at diagnosis was 1.6 years (range, 0-5.9) with a median follow-up of 1.8 years (range, 0.1 to 11.6). The median time from presenting signs to the time of diagnosis was 5.2 months (range, 0-25.2). Common presenting signs of retinoblastoma were identified; the most common of which were leukocoria (50.0%), squinting (13.3%), poor vision (10.0%), strabismus (6.6%) and unknown (33.3%). Of the 30 patients, 10 were from Singapore whilst the other 20 patients were from the surrounding countries. Twelve patients had bilateral disease at the time of diagnosis, while 18 had unilateral disease. Staging information was available in 27 patients. Enucleation was performed in 25 of 30 patients. Radiation therapy was given in 3 patients in 1995 (bilateral disease), 2001 (bilateral disease) and 2003 (unilateral disease). At the time of analysis, 19 patients were alive with no evidence of disease. Overall 5-year survival for the cohort was 88.1% [95% confidence interval (CI), 88.0-100] and event-free survival for the whole cohort was 74.2% (95% CI, 55.8-92.6).

Conclusion: In our limited experience, the importance of collaboration and standardisation of the staging system, raising awareness and education of primary healthcare providers and parents are strongly stressed.

Key words: Asian experience, Outcome, Staging, Survival
Oesophageal Doppler Ultrasound in the Assessment of Haemodynamic Status of Patients Admitted to the Medical Intensive Care Unit with Septic Shock
Authors: Chew Huck Chin , Devanand Anantham , Phua Ghee Chee , Loo Chian Min
Published: November 2022

Introduction: Haemodynamic monitoring is an essential element in the management of critically ill patients in the intensive care unit (ICU). However, there have been increasing concerns about the clinical utility and safety profile of the invasive pulmonary artery catheter (PAC). Oesophageal Doppler (ED) monitoring has emerged recently as a safer and less invasive tool which can be used by the intensivist to estimate cardiac output in the critically ill patient. Validation studies have thus far only been performed in surgical patients perioperatively and in mixed surgical/medical ICU patients. Currently, minimal data are available in any sizeable Asian population or in patients with severe sepsis. The assumption that these normograms and data hold true for our local medical ICU patients may not be valid due to differences in body habitus.

Materials and Methods: Our primary aim is to validate the oesophageal Doppler as a reliable measure of cardiac index, systemic vascular resistance (SVR) and preload in our local Asian population of patients with severe sepsis and septic shock in the medical ICU. This was a prospective pilot study on 12 consecutive mechanically ventilated patients in our medical ICU with the diagnosis of septic shock as defined by SCCM/ESICM/ACCP/ATS/SIS International Sepsis definitions Conference – Critical Care Medicine 2003 and required PAC haemodynamic monitoring as indicated by Medical Intensive Care Unit attending.

Results: Ninety-seven paired cardiac output measurements were made. Cardiac output ranged from 2.87 to 11.0 L/ min (calculated cardiac index ranging from 1.73 to 6.36 L/min/m2) when measured using the PAC with thermodilution technique and from 2.0 to 12.1 L/min (calculated cardiac index of 1.2 to 7.2 L/min/m2) using the trans-oesophageal Doppler. There was moderately good correlation between CIpac and CIed (correlation coefficient, r = 0.762 with PCA = 58%). The mean bias was 0.26 L/min/m2 (P <0.07), while the limit of agreement was ± 1.44 L/min/m2.

Conclusion: ED has good correlation with PAC in measuring cardiac index in Asians with septic shock but is an unreliable measure of both pre-load and SVR.

Key words: Cardiac index, Pulmonary artery cathether, Systemic vascular resistance
Health Profiles of Methyl Bromide Applicators in Greenhouses in Turkey
Authors: Akca Ergonen Toprak , Serpil Salacin , Sezer Uysal , Ozlem Eminoglu , Ayse Gelal , Canan Coker , Hakan Baydur , Ozgur Karcioglu , Banu Onvural , Hulya Guven
Published: November 2022

Introduction: Methyl bromide is a toxic substance that has hazardous effects on human health with acute and chronic exposure. Our previous study showed that methyl bromide applicators frequently use large amounts of methyl bromide haphazardly in greenhouses in the prefectures of Narlidere and Balcova in the Aegean city of Izmir. This study aims to evaluate the health conditions of these workers.

Materials and Methods: Our previous study showed that there are 38 methyl bromide applicators in our study area. After the informed consent of methyl bromide applicators was obtained, a questionnaire was used for a survey of demography and symptoms. Each subject was examined before and after application of the compound. Blood and urine samples were collected and stored. Blood samples were analysed for methyl bromide and bromide ion, kidney and liver function tests and lipid profile.

Results: The age range of subjects was 19 to 53 years (mean age: 41 ± 8.57). This study showed that methyl bromide applicators use large amounts of methyl bromide disregarding legal regulations and that some of them had non- specific complaints. Subjects had been working as methyl bromide applicators for approximately
9.7 ± 4.15 years. A total of 69.7% of methyl bromide applicators reported that they did not use protective equipment while 33.3% of them had a history of acute methyl bromide intoxication. A statistically significant relationship was found between the usage of protective equipment and the level of blood bromide ion in the blood (P <0.05).

Conclusion: Usage of methyl bromide, training, screening and follow-up of applicators must be rigorously controlled in accordance with national legal arrangements and international protocols. Greater efforts are required in the implementation of controls to achieve the targets set by the legal regulations and to ensure continual improvement in the limitation of the risks of this environmental hazard.

Key words: Applicator’s health, Chronic exposure, Forensic medicine, Greenhouse workers
A Practical Guide for Multivariate Analysis of Dichotomous Outcomes
Authors: Lee James , Tan Chuen Seng , Chia Kee Seng
Published: November 2022

A dichotomous (2-category) outcome variable is often encountered in biomedical research, and Multiple Logistic Regression is often deployed for the analysis of such data. As Logistic Regression estimates the Odds Ratio (OR) as an effect measure, it is only suitable for case-control studies. For cross-sectional and time-to-event studies, the Prevalence Ratio and Cumulative Incidence Ratio can be estimated and easily interpreted. The logistic regression will produce the OR which is difficult to interpret in these studies. In this report, we reviewed 3 alternative multivariate statistical models to replace Logistic Regression for the analysis of data from cross-sectional and time-to-event studies, viz, Modified Cox Proportional Hazard Regression Model, Log-Binomial Regression Model and Poisson Regression Model incorporating the Robust Sandwich Variance. Although none of the models is without flaws, we conclude the last model is the most viable. A numeric example is given to compare the statistical results obtained from all 4 models.

Key words: Alternatives to logistic regression, Cross-sectional studies, Risk ratio vs odds ratio
First Successful Preimplantation Genetic Diagnosis in Singapore – Avoidance of -Thalassaemia Major
Authors: Yap Christine , Tan Arnold SC , Wang Wen , Lim Mui Nee , Chong Samuel S
Published: November 2022

Introduction: We report on the first successful preimplantation genetic diagnosis (PGD) in Singapore. Clinical Picture: A couple who are -thalassaemia carriers and have an affected daughter requested for PGD.

Treatment: Two cycles of PGD were performed on the couple.
-thalassaemia mutations were detected using a nested PCR and minisequencing strategy, and unaffected embryos were selected for transfer.

Outcome: A singleton pregnancy was achieved in the second PGD cycle, resulting in the birth of a healthy baby boy with carrier genotype.

Conclusions: This case report documents the first successful PGD in Singapore, involving a couple at-risk of transmitting -thalassaemia major.

Key words: Beta-thalassaemia, Multiplex minisequencing, Polymerase chain reaction, Preimplantation genetic diagnosis
The Challenges of “Continuing Medical Education” in a Pandemic Era
Authors: Lim Erle CH , Oh Vernon MS , Koh Dow-Rhoon , Seet Raymond CS
Published: November 2022

Closure of medical schools or the barring of “live patient” contact during an epidemic or pandemic is potentially disruptive to medical education. During the SARS epidemic, the use of web-based learning, role play, video vignettes and both live and mannequin-based simulated patients minimised disruptions to medical education. This article examines the pedagogical innovations that allow clinical teaching to continue without medical students examining actual patients, and proposes a contingency plan in the event of future outbreaks that may necessitate similar containment measures. Key words: Infection control, Medical education, Pandemic, Strategies
The Doctor in Claims for Work Injuries and Ill Health – Legal Pitfalls
Authors: Lee See-Muah , Sng Judy , Koh David
Published: November 2022

Occupational health work is currently undertaken by the specialist and the non-specialist physician alike. The work scope can vary from medical assessments of individual workers to health risk assessment at the workplace. The scope of the latter will include evaluation of exposures, hazards, risks and its management to control these risks. Much of the case law governing legal disputes over industrial safety and health have involved the employers. Over the years, the actions brought forth by workers have resulted in a formidable volume of case law based on statutes and on the common law of negligence in tort. Disputes over the assessment of workers’ health or workplace health risks to the extent that it is a failure to discharge a reasonable standard of care, may result in the doctor being a defendant. Measures to prevent these legal pitfalls include communication with employers about the causative link of the illness suffered to workplace factors and the clarity of contractual obligations undertaken with regard to workplace health risk assessment. Key words: Duty of care, Mesothelioma, Occupational asthma, Standard of care, Tort
Feature Selection for Ranking using Heuristics based Learning to Rank using Machine Learning
Authors: Sushilkumar Chavhan  , Dr. R. C. Dharmik
Published: November 2022

Machine Learning based ranking is done every filed. Ranking is also solved by using (LTR i. e. learning to Rank)techniques. In this work, we propose a Heuristics LTR based models for information retrieval. Different newalgorithms are tackling the problem feature selection in ranking. In this proposed model try to makes use of thesimulated annealing and Principal Component analysis for document retrieval using learning to rank. A use ofsimulated annealing heuristics method used for the feature Selection to test the results improvement. The featureextraction technique helps to find the minimal subsets of features for better results. The core idea of the proposedframework is to make use of k-fold cross validation of training queries in the SA as well as the training queriesin the any feature selection method to extract features and only using training quires make use of validationand test quires to create a learning model with LTR. The standard evaluation measures are used to verify thesignificant improvement in the proposed model. Performance of proposed model are measured based on predictionon some selected benchmark datasets, Improvement in the results are compare on recent high performed pairwisealgorithms.
Design of an Ensemble Segmentation, Feature Processing & Classification model for identification of Cotton Fungal diseases
Authors: Sandhya N. Dhage  , Vijay Kumar Garg
Published: November 2022

Cotton fungal diseases include rust, alternaria leaf spot, fusarium wilt, grew mildew, and root rots. Identification of these diseases requires design of efficient fungi segmentation, feature representation & classification models. Existing methods that perform these tasks, are highly complex, and require disease-specific segmentation techniques, which limits their scalability levels. Moreover, low-complexity models are generally observed to showcase low accuracy levels, which restricts their applicability for real-time use cases. To overcome these issues, proposed design focused on a novel ensemble segmentation, feature processing & classification model for identification of cotton fungi diseases. The proposed model initially uses a combination of Fuzzy C Means (FCM), Enhanced FCM, KFCM, and saliency maps in order to extract Regions of Interest (RoIs). These RoIs are post-processed via a light-weight colour-feature based disease category identification layer, which assists in selecting the segmented image sets. These image sets are processed via an ensemble feature representation layer, which combines Colour Maps, Edge Maps, Gabor Maps and Convolutional feature sets. Due to evaluation of multiple feature sets, the model is able to improve classification performance for multiple disease types. Extracted features are classified via use of an ensemble classification model that combines Naïve Bayes (NB), Support Vector Machines (SVMs), Logistic Regression (LR), and Multilayer Perceptron (MLP) based classifiers. Due to this combination of segmentation, feature representation & classification models, the proposed Model is capable of improving classification accuracy by 5.9%, precision by 4.5%, recall by 3.8%, and delay by 8.5% when compared with state-of-the-art models, which makes it useful for real-time disease detection of crops.
Comparative Analysis of Scalability Approaches using Data Mining Methods on Health Care Datasets
Authors: Satyajit Uparkar  , Dhote Sunita , Pathan Shabana , Shobhane Purushottam , Das Debasis
Published: November 2022

The primary issue in data analysis is scalability of data mining methods. Various scaling options have been explored in prior research to overcome this problem. Several scaling strategies are explored and tested on various datasets in this research. The cascade scaling method is proposed to improve the efficacy of existing methods. The proposed method starts with gathering a huge dataset and then pre- processed. Once the dataset has undergone pre-processing, it is spitted into smaller subsets of equal size to apply a data mining strategy on each subset. The outcomes of the data mining approach on all subsets are pooled and aggregated for the final results. The accuracy of the given algorithm is used to evaluate its performance. The proposed method and existing methods are evaluated on two health care datasets: PIMA Indian Diabetes and Heart Disease. On the basis of the Data mining methods the proposed scaling approach reflects better results as compared to the existing scaling approaches. On both datasets, the proposed method is compared to previous work published by different authors in earlier studies. It was discovered that the proposed method outperformed previous research. For a few data mining methods, the proposed method achieves 100 percentage accuracy.
Data Analytical Approach for Evaluating Locus of Control among Private Banks Employees
Authors: Seth Monika , Asudani Vinod , Upadhye Sachin , Satyajit Uparkar
Published: November 2022

Private Banks in India, are owned by individuals or group of limited individual and not by government. Here in India, private banks represent that most of the part of equity or shares are hold by private shares holders and not by government. The locus of control is reflected in terms of the particular degree upto which the private shares holders or the bank employee’s belief that they have power over their private banking events. This research study aims to find out locus of control among bank employees with special reference to private banks based on gender difference as well as two dimensions of locus of control viz. external and internal. Survey method was adopted for this study which covers four private banks within the Nagpur city. Sample size of 200 bank employees consists of bank managers, cashiers, clerks accountant were provided with an online Google form questionnaire. The questionnaire consists of seven questions related to their work, job satisfaction, colleagues clients etc. Initially Cronbach’s alpha test using pilot survey on 50 pre samples of bank employees was used to determine the internal consistency of data model. As second step Explorative statistics gave the trends among the bank employees towards the seven questions. The Descriptive statistics then quantitatively describes the features from a collection of information that can reveal the influence towards the three hypotheses under consideration. Lastly the Inferential statistics based two groups of genders interpret the facts as to accept or reject the three hypotheses under consideration. The study concludes the pro and cons and the prime factors which leads towards the external and internal locus of control among the employees.
PLAGIARISM DETECTION IN PROGRAMMING USING PERFORMANCE ANALYZING FEATURES
Authors: D.S. Adane  , Abhishek Angale  , Ayush Singh  , Rituj Aryan  , Sumeet Yadav
Published: November 2022

In recent years, plagiarism that uses the code snippets or program of others without permission has become a social problem. It is widely spread from very familiar student reports to worldwide academic papers. In this paper, we deal with plagiarism in programming assignments, and explain the plagiarism patterns often found in text. Existing plagiarism detection tools utilize string matching algorithms to calculate the plagiarism. We have brought to light the problems associated with existing tools and propose a method to rectify them efficiently with the help of algorithms proposed in the paper. To the existing detection method, we combine some heuristics which are estimation of time complexity and loop detection, to improve the accuracy of the plagiarized sections and propose it as a plagiarism detection method.
Voice Based Authentication System for Web Applications using Machine Learning
Authors: Rakesh K Kadu  , Purshottam J Assudani  , Sahil Bhojane  , Tanish Agrawal  , Vidhi Siddhawar  , Yash Kale
Published: November 2022

Due to security concerns, the biometric trend is being used in many systems. Biometric authentication is a cheap, easy, and reliable technology for multi-factor authentication. Cryptosystems are one such example of using biometric data. However, this could be risky as biometric information is saved for authentication purposes. Therefore, voice biometric systems provide more efficient security and unique identity than commonly used biometric systems. Although, speech recognition-based authentication systems suffer from replay attacks. In this paper, we implement and analyze a text-independent voice-based biometric authentication system based on the randomly generated input text. Since the prompted text phrase is not known to the speaker in advance, it is difficult to launch replay attacks. The system uses Mel-Frequency Cepstrum Coefficients (MFCC) to extract speech features and Gaussian Mixture Models (GMM) for speaker modeling.
Machine Learning For Non- Invasive Diagnostics Of Glucose Metabolism Disorder
Authors: Suruchi Dive  , Gopal Sakarkar
Published: November 2022

Glucose metabolism disorder known as Diabetes Mellitus is a state created by uncontrolled blood sugar that may lead to serious damage to multiple organs in patients. Identifying and predicting this disease will save human life. While designing medical diagnosis software, disease prediction is said to be one of the capricious tasks. In the current scenario, many researchers have provided their ideas on using machine learning and artificial intelligence for automated prediction of Diabetes Mellitus. A set of five popular Naïve Bayes, Random Forest, SVM, KNN and Decision Tree have been identified as well as a set of four rarely used GPC, QDA, LDA and AdaBoost have been identified from literature survey. The study is an effort to make a comparative report of the accuracy of two sets and identify the best performer. In conclusion, Support Vector Machine achieved highest accuracy with 81.00% in popular classifiers whereas Linear Discriminant Analysis achieved highest accuracy with 82.00% in less frequently used classifiers. Hence, more such rarely used classifiers should be explored for the realistic health management of diabetes.
IoT Based on Potholes and Speed Breakers Detection and Alert System
Authors: Kadu Rakesh , Mishra Ayushi , Baheti Devang , Pilkawar Himangi
Published: November 2022

In a world where 90 percent of people travel by road, the safety of the same becomes of utmost importance. And two of the most major issues a road traveler faces are Potholes and speed breakers. The total number of road accident deaths due to potholes in 2018, 2019, and 2020 stood at 2015, 2140 and 1471, respectively. Although speed breakers are intended to prevent traffic accidents, 49.6 per cent of crashes still happen in areas where there are speed breakers.

This paper aims to present a method for locating, identifying, and documenting speed breakers and potholes. The suggested method will employ driving information collected by various sensors, such as vibrations, jerks, bumps, changes in distance from the base of the vehicle, etc., to detect and then store the location of the object in an online database. Additionally, a stream of images of the object spotted will be simultaneously taken and uploaded to a server, to analyze using an Image Detection model. This model will facilitate the live detection of potholes and speed breakers more accurately than previous solutions.

Once this data is added to a database, it will be effectively used by government agencies to repair the roads as well as by daily commuters to avoid the route with more obstacles, when the database is supplied to mapping services like Google Maps.
Object Detection using Speech Recognition
Authors: Thaokar Chetana , Ladsawangikar Gayatri , Wadibhasme Tanaya , Sureka Sandeep
Published: November 2022

Nearly all practical applications, including autonomous navigation, visual systems, face recognition, and more, rely on object detection. In this paper, object detection and speech recognition are combined to help visually impaired people who want to use voice commands to find a certain object. People who are blind or visually challenged can move more independently if they are aware of their surroundings. With the use of the OpenCV libraries, a model has been implemented, and good results have been obtained. In this paper, a thorough review of object detection employing region-based conventional neural network (CNN)- based learning systems for practical applications has been conducted. This study examines the various object identification processes utilizing YOLOV4 object detection techniques and talks through detection, including a speech recognition system that was created by transcribing spoken language into text.
Biomechanical effects of high heeled shoes on neck pain among females – a narrative review
Authors: Tahir Mahmood  , Naqvi Rubab , Waseem Iqra , Salam Abdul
Published: November 2022

Neck pain is the fourth leading cause of disability, and is the most common musculoskeletal disorder. High-heel shoes, one of the significant identities of females, cause pain in the neck as well as in feet and ankle regions. The current narrative review was planned to explore evidence to highlight the biomechanical factors of high-heel shoes as the source of neck pain, which mostly remains undiagnosed. PubMed and Google Scholar search engines were explored for full text of research articles published in English language from 2016 to 2021. Of the 82 studies initially found, 22(27%) were shortlisted for full-text assessment, and, of them, 6 (27.27%) were selected for detailed analysis. Despite other contributing factors, kinematics and kinetics should be considered primarily during neck pain management. Based on best available evidence, high heels increase the individual’s height, but result in significant decrease in trunk flexion.
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Implementasi Zakat Maal secara Produktif, Solusi Pengentasan Kemiskinan di Kota Medan
Authors: Panjaitan Kurnia Sandi , Khairunisah Khairunisah , Jannah Nurul
Published: November 2022

This study aims to provide an overview in the orm of a portrait of zakat maal and how its contribution, role, and performance in alleviating poverty. The research method used in the journal is a qualitative method using zakat maal as a case study. Zakat maal is a system in the Qur’an to regulate several provisions regarding assets that must be tithe. Zakat is only prouctive as a qualitative and quantitative embodiment so that the zakat issued is not to meet needs at any time (comsumtive). However, trying to have an investment value for the independence of zakat recipients. In Indonesia, where most of the population is Muslim, it actually has stategic potential and is very feasible to be developed in driving the economy. In addition, the concept of zakat offered by Islam promises the dimensions of benefit and the management of potential economic resources in people’s lives so that poverty can be eradicated.

Keywords: Zakat Mal, Productive Zakat, Proverty, Economy.
Pengaruh Literasi Laporan Keuangan dan Wawasan Kewirausahaan pada Penggunaan Informasi Akuntansi di Era Digitalisasi:
Authors: K. Kamilah , Ritonga Jukhairia , Zahra Annisa , Pratama Dela , Nasution Rizqia Humaira
Published: November 2022

Financial statement literacy is a form of someone's understanding of the financial condition of an institution with the aim of making decisions. Financial statements must be prepared in accordance with applicable PSAK and must be relevant, accurate, reliable, credible and easy to understand. The purpose of this study was to determine the effect of financial statement literacy and entrepreneurial insight on the use of accounting information in the digitalization era. The population in this study were MSME actors in Petangguhan Village, Galang District, Deli Serdang Regency with a sample of 50 MSME actors. In this study, researchers used quantitative methods. Where the data obtained in the form of numerical data or numbers that can be measured with certainty. Furthermore, the results of these observations were analyzed. The variables in this study consisted of independent variables, namely financial statement literacy, entrepreneurial insight, and subjective norms, and one dependent variable, namely the influence of financial statement literacy and entrepreneurial insight on the use of accounting information in the digitalization era. And the data obtained from the distribution of questionnaires given to MSME actors in Petangguhan Village. And respondents' answers were processed using the SPSS 26 application

Keywords: Financial Report Literacy, Entrepreneurial Insights, Accounting Information
POPULATION DENSITY AND BIOMASS OF THE WILD PREY SPECIES IN A TROPICAL DECIDUOUS FOREST, CENTRAL INDIA
Authors: Narasimmarajan Kannadasan , Mahato Subhasis , Parida Abinash
Published: November 2022

For proper management of a wildlife reserve, it is essential to estimate density and biomass of herbivores that in turn determine the density of carnivores. We estimated the population density and biomass of three ungulates and two other species in the Melghat Tiger Reserve, Central India. The study was conducted from September 2010 to April 2011. We used distance sampling to estimate the population density of wild prey species. The 225km2 intensive study area was found to have high prey species density (69.5±8.3 individuals/km2), with gray langur being the abundant prey species (42.9±7.2 individuals/km2), followed by sambar (10.5±3.5 individuals/km2), gaur (5.8±1.7 individuals/km2), barking deer (2.7±0.3 individuals/km2), and peafowl (7.6±0.6 individuals/km2). When the density figures were multiplied by the average weight of each prey species, biomass of 6501.8 kg/km2 was obtained.
ACTIVITY BUDGET AND PERCH CHARACTERISTICS OF Pseudophilautus popularis (MANAMENDRA-ARACHCHI & PETHIYAGODA, 2005) (AMPHIBIA: RHACOPHORIDAE) DURING THE BREEDING SEASON
Authors: Dayananda Salindra K , Wickramsinghe Deepthi D
Published: November 2022

This study reports activity budget and perch characteristics of the Sri Lankan endemic shrub frog Pseudophilautus popularis in a wetland-home garden setting in an urban area. Thirty-two frogs were studied from 18:30–06:00h and 45% of the time they were found to be stationary without any activity. The highest percentage of time was utilised for calling and courtship (52%). This study reveals that the frogs occupy different heights during their nightly activity period, starting from the ground level and gradually moving up among the vegetation. They were reported to reach the maximum heights around 23:00h, remaining there for nearly two hours and then retreating downwards towards the dawn. The results emphasize the importance of maintaining diversity of vegetation especially in terms of stratification in ensuring habitat quality to conserve this species.
A NEW CRYPTIC SPECIES OF GECKO OF THE GENUS Hemidactylus Oken, 1817 (REPTILIA: GEKKONIDAE) FROM SOUTHERN INDIA
Authors: Mirza Zeeshan A. , Sanap Rajesh V.
Published: November 2022

A new species of gecko superficially resembling Hemidactylus maculatus is described from the southern Indian state of Tamil Nadu. Hemidactylus acanthopholis sp. nov. is a large sized Hemidactylus, SVL at least 91.7mm. Dorsal scalation on trunk granular, intermixed with enlarged, fairly regularly arranged longitudinal rows of 18–20 trihedral, moderately keeled, striated tubercles of equal size on dorso-lateral aspect, 2–3 rows of tubercles on mid-dorsal smaller in size, approximately two dorsal granular scales wide. Two large rounded and one small internasal between nasals. Two pairs of postmentals, anterior pair is twice as long and wide as the posterior pair. Scales on ventral trunk arranged in 35–40 rows. Lamellae divided, 9, 11, 10, 10, 10 on manus, and 10, 12, 12, 12, 12 on pes respectively on digits I–V. Caudal pholidosis on dorsal aspect, consist of small, striated scales intermixed with large rounded un-keeled tubercles, scales sub-equal throughout and a series of large eight enlarged, moderately keeled and weakly striated and flattened tubercles in a whorl on each caudal segment. Femoral pores, 19–21 on each side separated medially by 13–14 pore-less scales.