bluuebunny/crossref_metadata_2025 huggingface dataset:
ULTRASONIC CRITERIA FOR ASSESSING TREATMENT OUTCOMES IN PATIENTS WITH ISCHEMIC FORM OF DIABETIC FOOT SYNDROME WHO UNDERWENT ENDOVASCULAR RESTORATIVE SURGICAL OPERATIONS
Authors: Liakhovslyi V. I. , Puzyriov G.
Published: March 2023

The article highlights the effectiveness of ultrasound monitoring of outcomes of the endovascular restorative surgical interventions in patients with the ischemic form of diabetic foot syndrome, which resulted from occlusive-stenotic lesions of the popliteal-tibial segments. The purpose of the study was to investigate the findings of ultrasound monitoring following the endovascular treatment with various methods of occlusive-stenotic lesions of the popliteal and tibial arteries in patients with the ischemic form of diabetic foot syndrome and to assess the effectiveness of the treatment. The study included 112 patients, who received the inpatient treatment for the complicated ischemic form of diabetic foot syndrome at the Department of Vascular Surgery, Poltava Regional Clinical Hospital, for 2017-2021. The ultrasound and angiographic examination revealed significant hemodynamical occlusive-stenotic lesions of the popliteal and tibial arteries. These patients were indicated to have restorative endovascular surgical interventions. Depending on the methods of the interventions, patients were divided into two study groups. The first group included 58 (51.8%) patients, who underwent balloon angioplasty of the tibial arteries according to general standard techniques. The second group included 54 (48.2%) patients, who underwent staged dosed balloon angioplasty of the tibial arteries according to the technique we elaborated by ourselves. When analyzing the findings obtained by colour ultrasound scanning of the arteries of the lower extremities before performing endovascular operations and on the 2nd and 7th day of the postoperative period, we have found out that the blood flow has improved significantly that is confirmed by a reliable acceleration of the peak blood flow rate and the humeral index. This is quite pronounced in the patients of the second group, who underwent step-by-step dosed balloon angioplasty of the tibial arteries. The positive changes are supported by the occurrence of fewer thromboses in the operated sections of the arteries in the early postoperative period in the patients of the second group compared to patients in the first group.
ANALYSIS OF COVID-19 VACCINATION STATUS IN POLTAVA REGION
Authors: Mamontova T.V.
Published: March 2023

Introduction. Vaccination against COVID-19 is one of the effective measures in overcoming and preventing the spread of the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is insufficient data on the coverage of full vaccination against COVID-19 in the Poltava region. The aim of this study Is to determine the state and trends of vaccination against COVID-19 in the Poltava region. Materials and methods. Retrospective-archival research was conducted in the Poltava region covering the period from February 2021 to February 2022. Results. During the COVID-19 vaccination campaign from February 2021 to January 2022, a total of 1,253,587 people (92.75%) were vaccinated against COVID-19 in the Poltava region. The largest share of those vaccinated against COVID-19 in the region consists of working-age individuals from 20 to 60 years old, while the smallest is represented by elderly individuals over 70 years old. The study has demonstrated that a total picture of vaccinated population is as following: 1,047 children aged 12 to 15 years old, 3,681 people aged 16 to 18 years old, 35,705 people aged 18 to 20 years old, 277,945 people aged 20 to 39 years old, 228,022 people aged 40 to 49 years old, 214,749 people aged 50 to 59 years old, 168,203 people aged 60 to 69 years old, 83,338 people aged 70 to 79 years old, and 26,793 people aged over 80 years old. Overall, the highest level of vaccination against COVID-19 was achieved with Pfizer/BioNTech (469,193 people) and Coronavac (465,757 people) vaccines, while the significantly lower rates was observed with applying AstraZeneca (197,264 people) and Moderna (121,373 people) vaccines in 2021. Two peaks in the growth of indicators were observed with Pfizer/BioNTech and Coronavac vaccines in August and November 2021 (54,857 people and 99,434 people; 61,143 people and 108,952 people, respectively), while three peak increases were registered with the AstraZeneca vaccine in April (20,700 people), June (21,017 people), and October (48,536 people) 2021, and with the Moderna vaccine only in August (45,670 people) 2021. Discussion. The obtained data emphasize the importance of monitoring vaccination coverage by age and implementing strategies that promote increased vaccination coverage against COVID-19 among all population groups, especially those who are at greatest risk of severe disease.
EFFECT OF 2-HYDROXY-N-NAPHTHALENE-1-YL-2-(2-OXO-1,2-DIHYDRO-INDOLE-3-YLYDENE)-ACETAMIDE ON KIDNEY FUNCTION IN EXPERIMENTAL RENAL FAILURE
Authors: Lutsenko R.V.
Published: March 2023

Heterocyclic compounds are the basis for a significant number of medicinal substances. Among them, there is indole and derivatives of 2-oxoindolin-3-glyoxylic acid. This group of compounds has been found out to have neurotropic effects as well as cardio- and hepatoprotective properties. This preceded the study of their nephroprotective activity in the experimental pathology. The aim of the work is to study the effect of 2-hydroxy-N-naphthalen-1-yl-2(2-oxo-1,2-dihydro-indol-3-ylidene)-acetamide on the excretory function of kidneys in the experimental acute renal failure.

Materials and methods. Experiments were performed on 24 adult male rats. Compound 18 was administered is a dose of 12 mg/kg. Ethyl-methyl-hydroxypyridine succinate in a dose of 100 mg/kg served as a reference preparation. Glycerol-induced acute kidney damage was modelled by intramuscular injection of the 50 % glycerol solution. Under the condition of water load, the excretory kidney function, kidney mass coefficients, creatinine and urea content in the blood plasma were assessed by the standard methods.

Results. Glycerol-induced kidney damage did not cause the death of test animals. It significantly reduced the rate of glomerular filtration and water resorption; proteinuria developed due to an increase in protein concentration and a decrease in its excretion as compared to the parameters of intact rats. This change in the kidney function was accompanied by an increase in the content of creatinine and urea in the blood plasma. The use of the reference preparation ethyl methyl hydroxypyridine succinate prevented a decrease in the rate of glomerular filtration, increased creatinine excretion, but did not affect the values ​​of other parameters. Compound 18 showed an antiproteinuric effect. The substance under investigation did not change probably or worsen other parameters. In glycerol-induced kidney damage, ethyl methyl hydroxypyridine succinate and compound 18 did not effectively prevent the increase in kidney mass coefficient.

Conclusion. In glycerol-induced kidney damage, compound 18 in a dose of 12 mg/kg did not cause a pronounced nephroprotective effect.
EFL Students’ Perception on E-Learning in Post-Pandemic: Assessment, Learning Outcome, Evaluation & Problem Faced
Authors: Mu'in Fatchul , Mariani Nanik , Nasrullah Nasrullah , Amelia Rizky
Published: March 2023

Online learning has been experienced by students worldwide with benefits and challenges. Even though previous research has been done on the unreadiness of teachers and students, their lack of technological skills, and their lack of autonomy in carrying online learning, more is needed to know about the washback effect of online learning from the perspective of learners. Thus, this research investigates students' assessment, learning outcomes, evaluation, and problems faced. This study described the English Language Education students’ view of the independent assessment, learning outcome, and evaluation of English online learning from the perspective of English Language Education students. The researchers employed a descriptive quantitative approach and a survey method to collect the data. This study included 100 participants using a purposive sampling technique. For data collection, the researchers employed a questionnaire with 33 questions sent via Google Forms and disseminated to WhatsApp groups and an interview. The data were then coded and tabulated using percentage-based basis values. The findings of this study indicated that, first, students' attitudes regarding the independent assessment of e-learning assessment were 85% showing a favorable result. In the meantime, certain lecturers' respondents needed to provide more feedback and were absent from certain lecturers during learning. Second, the student's view of the learning outcome of using e-learning was positive (68%) because the online meeting coincided with the learning process. Third, the students' perspectives on the evaluation of using e-learning fall under the category of the fair. (65%) During the pandemic, poverty has hindered students' access to and involvement in learning. Those who come from economically disadvantaged families cannot provide appropriate resources for online learning. Long-term lack of infrastructure and access will jeopardize educational achievements.
English Medium Instruction (EMI) in Higher Education: Insights from Indonesian Vocational Lecturers
Authors: Simbolon Nurmala Elmin
Published: March 2023

Reported studies show that some common reasons for offering courses in English medium instruction (EMI) seem to be pragmatic. The rationales for the internationalization of higher education are to improve the English proficiency of both lecturers and students and to facilitate global mobility. However, this responsive practice has some challenges, including limited understanding among university stakeholders of the implications of implementing EMI. This quantitative study examined lecturers' perceptions of EMI in a selected vocational university in Indonesia. A set of four-point Likert scale questionnaires was distributed to 41 lecturers in eight departments, who were selected through simple random sampling to ensure their status as the department's content lecturers. The survey responses were statistically analyzed using SPSS software version 22. The findings showed that the lecturers agreed with all three main issues: terms used as a reference to EMI, EMI practice in the classrooms, and necessary support for EMI implementation, with average means of 2.10, 1.96, and 1.73, respectively (1 = strongly agree, 2 = agree, 3 = disagree, 4 = strongly disagree). These key findings highlight the existence of higher education internationalization and the tension among lecturers in understanding the pedagogical implications of EMI on language use and the assessment of student learning. The main findings also support the need for clear and specific arrangements for EMI implementation in many contexts globally. In response to the increasing trend of EMI in the future education system, we suggest vocational higher education institutions nurture code-switching in EMI classes, adopt content-based English courses, and collaborate between English and EMI content lecturers.
BİR İSTANBUL METHİYESİ: DÂSİTÂN-I MEDHİYYE-İ İSTANBUL
Authors: Sevinç Fırat
Published: March 2023

Mekân edebî eserlerin vazgeçilmez unsurlarından biridir. Bazen mekân insan ruhuna tesir etmiş, bazen de insan ruhu mekânın yeniden şekillenmesi noktasında etkili olmuştur. Mekân unsurunun Klasik Türk şiirindeki yansıması genel itibariyle şehirler şeklinde olup bu şehirlerden en çok İstanbul kaleme alınmıştır. Gerek merkezden gerekse taşradan olsun, divan şairleri İstanbul’a olan hayranlıklarını şiirlerinde dile getirmiş ve sürekli İstanbul’da bulunmayı arzu etmişlerdir. İstanbul’un ele alındığı türlerden biri de şehir methiyeleridir. Şehirlerin övgülerine yer veren şehir methiyelerinin sayısı bugün itibariyle 60’tır. Bu çalışmada XIX. asır şairlerinden Ahmed’in Dâsitân-ı Medhiyye-i İstanbul başlıklı şehir methiyesi ele alınmıştır. Çalışmanın amacı daha önceki bazı çalışmalarda ismi zikredilen methiyeyi geniş bir şekilde ele almaktır. İlk bölümde manzumenin müellifiyle ilgili kısıtlı bilgilere yer verilmiş ve eserden hareketle Ahmed’in hayatı hakkında bazı tespitlerde bulunulmuştur. Şiirin şekil özelliklerinin ele alındığı bölümde Ahmed’in methiyesindeki aruz, kafiye ve redif unsurlarından bahsedilmiştir. Muhtevayla ilgili bölümde şiirin içerik unsurları üzerinde durulmuş ve Ahmed’in İstanbul’la ilgili önemli tespitlerine yer verilmiştir. Ahmed’in methiyesi dönemin bazı özelliklerine ışık tutması bakımından önemli bir manzumedir.
MİCHAEL ENDE’NİN “MOMO” İSİMLİ ESERİNİN DEĞERLER EĞİTİMİ BAĞLAMINDA İNCELENMESİ
Authors: Özcan Suna
Published: March 2023

Çocukların dünyasını yansıtan sanat eserleri buluşturulmaları kişisel gelişimleri açısından önemlidir. Çocuklar kendi yaşam pençelerinden olaylara yaklaştıkları zaman gerçekçi bir dünya ile buluşabilme olanağı elde edebilmektedirler. Bu nedenle çocuk edebiyatı kavramı çocukların dünyasını çocuk gerçekliği perspektifinden yansıtmak üzere edebi sanatlar arasında yerini almıştır. Çocuk bu edebi eserlerle kendi gerçekliğini yakalarken aynı zamanda kendi değer yargılarını oluşturmak için bir çaba içerisine girmektedir. Bu çabaları verirken toplumun daha yaşanılabilir olması için kendisine ve topluma ait olan değerlerin farkına varması beklenmektedir. Bu farkındalığın gelişimi ancak nitelikli edebi eserlerle mümkün olmaktadır. bu nedenle çocuk kitaplarının çocukların değer gelişimine destek olması, onları bu açıdan beslemesi oldukça önemlidir. Bu önemden hareketle Michael Ende tarafından 1973’te kaleme alınan Momo isim çocuk kitabında yer alan değerlerin analiz edilmesi amaçlanmıştır. Amaç doğrultusunda Türkçe Dersi Öğretim Programında (TDÖP) yer alan kök değerler ölçüt alınarak kitap nitel araştırma yöntemine dayalı olarak doküman analizi yapılmıştır. Elde edilen sonuçlara göre Momo kök değerleri taşıma bakımından önemli bir eser niteliğindedir.
KASÎDE-İ BÜRDE’NİN MÜTERCİMİ MEÇHUL BİR MANZUM TERCÜMESİ
Authors: Kaplan Yunus
Published: March 2023

İslâm Peygamberi Hz. Muhammed’e duyulan muhabbet ve onun şefaatine nail olma arzusuyla Müslüman toplumlarda sayısız edebî eser kaleme alınmıştır. Bunlardan biri de Mısırlı sûfî şair İmam Bûsîrî’nin 13. yüzyılda Arapça kaleme almış olduğu ve “Kasîde-i Bürde” olarak meşhur olan kasidedir. Diğer Müslüman toplumlarda olduğu gibi Türkler tarafından da çok beğenilen bu kaside, daha iyi anlaşılıp istifade edilmesi için birçok şarih tarafından şerh edilmiş; başta Kemalpaşazâde, Leâlî, Ahmed-i Rıdvan, Şemseddin Sivâsî ve Nahîfî olmak üzere onlarca şair tarafından da nazmen tercüme edilmiştir.
Mütercimi belli olan manzum Kasîde-i Bürde tercümeleri dışında mütercimi meçhul bazı tercümelerin varlığı da bilinmektedir. Bunlardan biri de bu çalışmanın konusunu teşkil eden ve şimdiye kadar üzerinde herhangi bir bilimsel çalışmanın yapılmadığı tercümedir. Mütercimi gibi tercüme tarihi de meçhul olan bu manzum tercüme, 159 beyitten müteşekkil olup Busîrî’nin kasidesindeki iki beytin tercümesinden mahrumdur. Kaynak metnin vezin ve kafiyesinden farklılık arz eden tercümedeki beyitlerin büyük çoğunluğu birebir tercüme özelliğine sahiptir.
Bu çalışmada söz konusu manzum Kasîde-i Bürde tercümesinin sahip olduğu şekil ve muhteva özellikleri üzerinde birtakım değerlendirmelerde bulunulduktan sonra çeviri yazılı metnine yer verilmiştir.
YÜCELTİLMİŞ BENLİK FELAKETİ OLARAK NARSİSİZM’İN SİNEMATOGRAFİK ANLATIMI: İLGİ MANYAĞI FİLM ÖRNEĞİ
Authors: Özbey Ali Ülvi , Tan Zekiye
Published: March 2023

Modern çağ toplumlarda büyük değişimlerin ve dönüşümlerin yaşandığı bir dönem olmaktadır. Yaşam bazı noktalarda pratik hale getirilmeye çalışılırken beraberinde toplumlarda bazı deformasyonları da getirmektedir. Son yıllarda kişilik ve davranış bozukluğu üzerine çeşitli hastalıklar çıkmıştır. Ayrıca hâlihazırdaki bazı psikolojik problemlerde de vaka sayısında artış görülmektedir. Narsisizm benmerkezci bir tavrın patolojik bir konumdaki yeri olarak ele alınabilir. Bu bağlamda bireyin tamamen ilgi ve beğenilme görebildiği yer olan sosyal medya ve bireyciliğin ön planda olduğu toplumlar önemli iki nokta olarak görülmektedir. Sosyal medya bireyin yoğun bir ilgiyi saniyeler içinde görebildiği ve ilginin devamının sürdürüldüğü bir platformdur. Birey bir süre sonra bu ilgiye alışabilir ve bunun olmadığı zaman dilimlerinde huzursuz olabilmektedir. Böyle bir durumun devamlılığı bireyde zamanla Narsisizm ve aşırı ilgi arzusu gibi ciddi problemlere sebep olabilmektedir. Bu çalışmada sosyolojik açıdan Narsisizm ve aşırı ilgi duygusunun özellikle toplumsal ve sosyal medya temelinde nasıl oluştuğu, geliştiği ve karşılandığı üzerinde durulmaktadır. Narsisizm ve aşırı ilgi arzusu gibi konuların bireysel ve toplumsal analizini ele alınan “İlgi Manyağı” filmi üzerinden incelenmiştir.
Design A Model for Crop Prediction And Analysis Using Machine Learning
Authors: Ruchira C. Mahore  , Naresh G. Gadge
Published: March 2023

Agriculture is the most important aspect of survival. Machine learning (ML) could be an important point of view in determining a practical and workable solution to the crop yield problem. Given the current method, which includes manual counting, climate-smart pest management, and satellite photography, the results aren't particularly accurate. The primary goal of this research is to forecast crop and yield yield using various machine learning approaches. SVM, Nave Bayes, and Random Forest are the classifier models used here, with Random Forest providing the highest accuracy. Machine learning algorithms will help farmers choose which crop to cultivate based on variables such as temperature, rainfall, area, and other characteristics This connects the technological and agricultural sectors .
A Review on Soil Classification using Machine Learning and Crop Suggestions
Authors: Dr. Sulochana Sonkamble  , Punit Jadhav  , Vaishnavi Sanjay Jadhav`  , Akanksha Kavitake  , Rohan Kolhi
Published: March 2023

India is a primarily agricultural nation. Agriculture is currently the most significant emerging sector in the actual world and the key industry and economic pillar of our nation. The area of agricultural information technology has recently undergone significant changes that have made crop yield prediction an interesting research topic. Crop yield prediction is a technique for estimating crop yield using many characteristics, including temperature, rainfall, fertilizer, insecticides, and other climatic variables and parameters. The use of data mining tools is very common in agriculture. Agriculture uses data mining tools to forecast agricultural production for upcoming years and evaluates these techniques. This system provides an overview of the investigation of agricultural yield prediction using Support Vector Machines(SVM) and K-Nearest Neighbors (KNN).
Accident Prevention in Fog Environment
Authors: Dr. Madhur Jain  , Rajat Gupta  , Onkar Manjua  , Hritik Kesharwani  , Nandita Upreti
Published: March 2023

Number of accidents are increasing in foggy weather, to prevent this there should be a system to detect an object beforehand in fog. Object detection in foggy weather can be a challenging task due to the reduced visibility and the limitations of traditional vision-based methods. In this article, we introduce a way for object detection using Arduino microcontroller and an Ultrasonic sensors. It is designed to alert the driver to any objects in front of the vehicle via a buzzer and LED. To make sure this, we connected an ultrasonic sensor to identify the object and also the distance from the driver and alert the driver about the object.
How Will AI And Robotics Transform the Traditional Roles and Mandates of Teachers and Students?
Authors: Vivan D Bheda
Published: March 2023

This paper seeks to provide an overview of research usage of Artificial Intelligence and robotics in education and how it affects students and teachers. Out of 48 originally identified sources of information including research papers, websites and government studies 25 were included in the final synthesis of the paper. This paper entails of the advantages, disadvantages of AI for teachers and students by providing multiple point-of-views and citing official studies and statistics. A search on scholar.google.com[1] 45,50,000 sources of information and a search on dl.acm.org[2] led to 202,000 results. To filter the multiple sources I took papers with information on the present of the predicted future or with information regarding teachers and students only and no external effects. After multiple such filters I cited approximately 20 to 25 sources.
The Function of Irrigate in Rural Development
Authors: Dr. Swarooprani. K
Published: March 2023

Pristine water isn't a opulence. It is a basic human right. Rural India has more than 700 million public residing in about 1.42 million habitations spread over15 assorted ecological regions. Meeting the drinking water requests a large population can be an scary task. The non-uniformity in level of awareness, socioeconomic growth, education, poverty, practices and rituals and water convenience add to the difficulty of the task. In malice of an estimated total of Rs. 1,105 billion spent on provide safe drinking water since the First Five Year Plan was launched in 1951, lack of safe and secure drinking water continues to be a key obstacle and a national economic burden. Access to safe water is essential for lives and livelihoods.
In India, a mid-term appraisal reveals that the country has already met its MDG (Millennium growth to water substructure, Goal) in conditions although in expanding in the similar access subsector of cleanliness development is falling far short of the mark. Most basic comments show that water supply exposure is not as good as the figures show while national cleanliness continues to be poor even after about six decades of efforts to eradicate open defecation. It argues that economic, technical, institutional as well as social factors restrain access to safe drinking water and correct sanitation in India for both the municipal and rural poor, and that treatment figures do not reflect this limited access. It finds that, increasingly, communities are being necessary to manage their own water and cleanliness schemes, not just in rural areas but in urban ones as well.
Multilevel Feature Selection Method for Improving Classification of Microarray Gene Expression Data
Authors: Dr. Sheela  T.  , Prakasha Raje Urs  M.  , Santhosh Kumar  B. N.
Published: March 2023

Microarray gene expression profiles provide valuable answers to a variety of problems, and contributes to advances in clinical medicine. Gene expression data typically has a high dimension and a small sample size. Gene selection from microarray gene expression data is a challenge due to high dimensionality of the data. The number of samples in the microarray dataset is much smaller compared to the number of genes as features. To extract useful gene information from cancer microarray data and reduce dimensionality, selection of significant genes is necessary. An effective method of gene feature selection helps in dimensionality reduction and improves the classification performance. Experimental results suggest that appropriate combination of filter gene selection methods is more effective than individual techniques for microarray data classification. In this paper, we propose a two-layered feature selection method. In the first layer, t-test statistical method is used to remove the features that have little correlation with the classification results. In the second layer, line segment approximation method is used to transform the feature subset into a less dimensional feature space. Four well known classifiers kNN, SVM, NBC, DT were used to verify the performance of the proposed feature selection algorithm on binary class microarray data. The experimental results show that the proposed method can effectively select relevant gene subsets, and achieves higher classification accuracy.
Chatbot Using Deep Learning
Authors: Shashank Joshi  , Sandeep Shinde  , Prerna Shinde  , Neha Sagar  , Sairam Rathod
Published: March 2023

In this paper we have proposed the working of Assistant conversational agent(Chatbot) using deep learning concepts with the utilization of tensorflow library. The LSTM is used overhere, so that the input taken with more than 30-40 words in a sentence canbe replied or answerd with more adequate conversation. The movie dataset used to train the model is taken from Cornell. The model isdesigned to perform a movie dialogue prediction conversation between the user and chatbot. The main aim is to increase the accuracy and estimation of the model. In the proposed model, we have developed a Seq2Seq AI Chatbot with attention mechanism using LSTM and libraries like tenserflow.
A Review on Data Warehousing Concepts, Challenges and Applications
Authors: Dr. L. C. Manikandan  , Dr. R. K. Selvakumar
Published: March 2023

Data warehousing (DW) is a technique for gathering and organizing data from many sources to produce valuable business insights. Business executives can methodically organize, comprehend, and apply their data by adopting data warehousing, which offers structures and tools. This paper's goal is to introduce new learners to the fundamental ideas of DW, as well as its challenges and applications.
An Empirical Investigation of Human Identity Verification Methods
Authors: Bhavesh Kumar Jaisawal  , Dr. Yusuf Perwej  , Sanjay Kumar Singh  , Susheel Kumar  , Jai Pratap Dixit  , Niraj Kumar Singh
Published: March 2023

A recognition technique is essential in practically every industry in the current digital era. It has several advantages and may be used for security, identification, and authentication. The relevance of access control systems based on biometrics has grown in recent years since they have the ability to address the majority of the shortcomings of existing security systems. Automated biometric systems for human identification take a measurement of the body's "signature," compare it to a database, and make an application-specific determination. These biometric methods for personal verification and identification are based on physiological or behavioral traits that are usually recognizable, despite changing over time, such as fingerprints, hand geometry, the face, voice, lip movement, gait, and iris patterns. The purpose of this study is to conduct a thorough literature review in order to pinpoint the most well-known recognition techniques, applications, and obstacles.
Comparative Study on the Prevalence of Malnutrition among Public Primary School Pupils in Rural and Urban Communities in Warri South
Authors: Chinwendu Sandra EMEAGI  , Uchechukwu Ifeanyichukwu APUGO
Published: March 2023

Malnutrition among primary school-age children has continued to pose a major public health issue, especially in developing countries. Nigeria is ranked amongst the top ten countries with the highest prevalence of undernutrition in children while about 2,300 children die daily in Nigeria as a result of malnutrition. Hence, the study was conducted to determine and compare the prevalence of malnutrition among public school pupils in rural and urban communities in Warri South LGA. This school-based comparative cross-sectional study made use of a bio-data form that collected socio-demographic details and anthropometric measurements of the pupils. The nutritional status of the pupils was obtained using WHO AnthroPlus software, while the resulting data were analysed and presented accordingly. The result showed that a total of 330 pupils (165 each from urban and rural public primary schools) were recruited, out of which more of the pupils in urban areas were younger, had parents who were better educated and employed while those from rural areas had higher family sizes. However, there was no difference in the sex and type of family of the pupils. The prevalence of malnutrition was reported as 36.7% with the prevalent form of malnutrition discovered as underweight (35.0%), followed by stunting (13.9%), overweight/obese (8.5%), and wasting (7.2%). Wasting, stunting, and overweight were higher among urban pupils, while the rate of underweight was higher among rural children. This high prevalence of undernutrition among urban pupils could be attributed to poor nutrition arising from a myriad of interrelated circumstances such as poor feeding, eating practices, and recurrent infection. Hence, the need for improved sensitisation of mothers concerning correct childhood feeding and provision of balanced nutrition.
Predictive Analysis of Heterogenous Data for Hospital Readmission
Authors: V R Reji Raj  , Mr. Rasheed Ahammed Azad. V
Published: March 2023

Hospital readmission is a high priority health care quality measure. Diabetes patient readmission rate is increasing to such an extent that it becomes one of the major concerns for many hospitals. Many studies are conducted for finding the possible causes and risks of diabetes patient’s readmission. Reducing readmission rates of diabetes patients reduce health care costs. Here the relationship between diabetes and the various patient attributes are examined. Different prediction models were developed to predict the risk of readmission within 30 days among hospitalized patients with diabetes. The dataset used here contains more than 1 lakh observations and 56 features. They include a set of numerical attributes such as number of outpatient visits, number of emergency visits and time spent in hospital etc and a set of categorical data such as what type of admission the encounter faced , sets of drugs that the patient took etc. In this study we presented a scheme to identify high-risk patients and evaluated different machine learning algorithms. Results indicate that Adaboost with hyperparameter tuning is optimal for this task The results from the study help health care providers to improve diabetic care.
Synthesis, Characterization and Antifungal Activity of Metal Chelates Based on 8-Hydroxyquinoline and Metronidazole
Authors: Swati Patel  , Yogesh Patel
Published: March 2023

In the present study, 5-chloromethyl-8-hydroxyquinoline (CMQ) hydrochloride, a versatile derivative of 8-hydroxyquinoline is reacted with a potent antibiotic drug metronidazole in order to yield a novel ligand namely 5-((2-(2-methyl-5-nitro-1H-imidazol-1-yl) ethoxy) methyl)-8-hydroxyquinoline (NIHQ). The co-ordinate metal chelates of the ligand NIHQ were prepared using divalent metal ions viz., Cu2+, Co2+, Ni2+, Mn2+, Zn2+ and Cd2+ by simple method. The ligand NIHQ and its all metal chelates were duly characterized for elemental content, spectral features, M: L (metal: ligand) ratio, and magnetic moment. The results of electronic spectral studies and magnetic properties indicated octahedral geometry for all the metal chelates. Antifungal activity of all the samples was tested against plant pathogens such as Aspergillus niger, Botrydepladia thiobromine, Nigrospora Sp., and Fusarium oxyporium. The results showed promising antifungal activity of all the metal chelates.
Gastric Retentive Drug Delivery system and its recent insights : A Review
Authors: Siddhant Rai  , Shaheen Sultana
Published: March 2023

Oral route is believed to be the most convenient and profoundly accepted drug delivery system and to enhance the efficiency of oral delivery of drug and to overcome the physicochemical and biological barriers in oral delivery, concept of novel delivery system is introduced.Gastro retentive drug delivery system (GRDDS) is one such type of drug delivery system. In conventional delivery system it is hard to provide drug at specific site, but on other hand GRDDS we can retain the drug in stomach for prolong period. There is various approach for retention of drug in stomach like high density, low density (floating system), magnetic, raft forming, bio-adhesive systems, which helps increase the bio-availability of drug. Drugs with good acid solubility, instability at alkaline pH, narrow absorption window, can be formulated by this system. This review includes introduction, potentialcandidates, advantages, disadvantages, approaches, formulation aspects, marketed preparations, current insights including ongoing research and patent works. This review article will help researchers and medical students to have better understanding on GRDDS which ultimately help themin formulation and designing of GRDDS.
Tsunami Potential Prediction with Artificial Neural Network
Authors: Amalia Listiani  , Fuji Lestari
Published: March 2023

Natural disasters are caused by biological factors such as earthquakes, tsunamis, and landslides. One of the destructive natural disasters that can cause considerable losses in terms of casualties and the economy is the tsunami. A tsunami is a series of tall or long waves in shallow seas. Various tsunami triggers include earthquakes, volcanic activity, and underwater landslides. This study aims to predict tsunamis with an Artificial Neural Network, which is a part of Machine Learning. Artificial Neural Network (ANN) is a model that has the same characteristics as biological neural networks. The process resembles the work of a neural network, which processes incoming information through neurons—using Multi-Layer Perceptron with five input parameters, two hidden layers, and one output. The ANN model can predict a tsunami potential in a country by 81%.
Design and Fabrication of Solar and Wind Pesticide Sprinkling Machine
Authors: K. Mariyappan  , A. Balaji B.  , K.S. Dinesh Kumar  , B. Santhosh
Published: March 2023

Agriculture is a global industry and is referred to as the "BACK BONE OF INDIA." We may live a healthy life thanks to agriculture and plant production, which provides us with wholesome foods and vegetables. In comparison to the agricultural product, machinery also contributes significantly. To chop cultivated plants, etc., machines are used to spray insecticides. Spraying pesticides is essential to maintaining the health of crops, plants, and vegetable plants. Moreover, illnesses are used to protect crops from pests. In agriculture, machine-applied pesticides like drones, backpacks, and manually sprayed types are more common. Automatic and semi-automatic machinery may result in good cost efficiency in this equipment. This will have an impact on the farmer's cost-effectiveness. We are manually typing.
Fabrication of Pneumatic Punching and Bending Machine Powered by Solar Panel
Authors: K Mariyappan  , Santhosh V  , Abinav Krishna A  , MD Fyazuddin S
Published: March 2023

The sheet metal is majorly used in automobile and medical platforms. These are used in several places mainly, in small scale industries because the cost of hydraulic machine is not affordable in small scale industries. It gives major advantage in cost reduction. Therefore, many small scale and medium scale industries involving in sheet metal operations, punching, and bending works. This process is done by using compressor so the pressurized air is used in the process. This concept is used in construction and mechanical industries. Small scale mechanical industries and others which change sheet metal into various shapes by many operations such as cutting, punching, bending, blanking, trimming etc. Using different machining as per our search there is no machine which has bending and punching machine. The main drawback of this process is which is not having continuous power supply so we have concluded to make a supporting machine which can do both bending & punching operations in a same machine by using solar energy in this method we can overcome the lack of continuous power supply.
Antioxidant Activity of Tomato Powder Dehydrated at Different Temperatures
Authors: Amel Selimovic  , Sabina Merzic  , Amila Mušic  , Almina Huskic  , Halid Junuzovic  , Amra Selimovic
Published: March 2023

In this scientific research, tomato powder was obtained from two tomato varieties, Pink rock and Big beef, by drying in a dehydrator at two temperatures, namely 50 and 75 °C. The results showed that tomato powder is very rich in phytochemicals, such as lycopene, vitamin C, total phenols. The highest content of vitamin C (mg/100 g of dry matter) was in fresh tomatoes compared to tomato powder, because vitamin C is thermolabile. On the other hand, the highest content of total phenols was 62.916 mg/100 g dry matter, lycopene whose value was 66.6 mg/100 mg, FRAP 4868.75 ?mol Fe/100 g sample in tomato powder dried at 75 °C. Therefore, it can be concluded that tomato powder is rich in antioxidants and that it is recommended in the diet of people when the weather conditions are not suitable for the consumption of fresh tomatoes.
Skin Disease Detection Based on Deep Learning
Authors: Shivam Pandey  , Sanchary Nandy  , Shivani Bansal
Published: March 2023

Among the most prevalent disorders is skin infection. Clinical manifestations are difficult to classify because to various diverse classifications, the similarity of various clinical signs, and indeed the higher than anticipated of problem tissues. Additionally, in the context of sparse data, a singular trustworthy CNN Algorithm has poor adaptation, inadequate semantic segmentation, and poor challenges stem. To classify skin diseases via prototype merging, we are using a learning algorithm throughout this research. The algorithm ability to retrieve data was improved though modelling synthesis, superficial and convolutional blending, and indeed the addition of an awareness component. Additionally, a number of tasks are carried out to improve the classifying ability of the algorithm, including prototype which was before, subsampling, and parameters wonderful. The subject's ability to retrieve data was improved through modelling synthesis, superficial and feature space blending, and the addition of such an attentiveness module. Additionally, a number of tasks performed carried out to improve the categorization ability of the algorithm, including prototype which was before, feature extraction, and parameters exquisite. The research outcomes demonstrated that their suggested model beat the existing Kaiser normalization of DenseNet201 and Convent L by 4.42% and 3.66%, correspondingly, whilst operating on our proprietary datasets occupied by pimple skin disorders. The suggested approach performed well when comparing to other cutting-edge approaches, exhibiting reliability and f1-scores of 90.85% and 89.99%, correspondingly.
The Effect of Teacher Interpersonal Communication and Communication Climate in The Class on Students' Learning Interest in Economic Subjects
Authors: Dwi Anggoro  , Tri Wahyu Retno Ningsih
Published: March 2023

This study aims to determine the effect of teacher interpersonal communication and communication climate in the classroom on students' interest in studying economics at SMA Negeri 5 Depok. This study uses quantitative methods with ex post facto planning. The research population consisted of 929 students and the selected sample consisted of 280 students based on Slovin's calculations. The data collection method used in this study was a questionnaire, and the data analysis method used in this study was multiple regression analysis. This study shows the results that: (1) Students' interest in learning is strongly influenced by the teacher's interpersonal communication with a significance value of 0.004. Apart from that, the t value of the teacher's interpersonal communication quality variable (X1) shows the t count > t table (2,931 > 1,969). (2)There is a strong influence between the communication climate in the classroom and students' interest in learning, with a significant relationship strength value of 0.000; the Class Communication Climate variable (X2) shows the value of t count > t table (11,918 > 1,969),(3) There is a simultaneous relationship between the teacher's interpersonal communication variables and the communication climate in the classroom with students learning interest with an R² value of 0.656 (0.60 - 0.799), where this value is interpreted as the strong influence of teacher interpersonal communication and the classroom communication environment, on students' interest in learning economics. This study suggests teachers always build good interpersonal communication with students, create a positive communication environment (communication climate) in the classroom, try to make students aware of the importance of interest in learning during the learning process, and motivate students during the learning process. This will encourage the creation of a sense of security, comfort, and enthusiasm for learning in the classroom and have an impact on the development of a strong interest in learning in students.
The Application Poly Aluminum Chloride as an Anionic Trash Catcher to Enhance Medium Paper Properties
Authors: Ni Njoman Manik Susantini  , Muhammad Rizky Darwis Putra
Published: March 2023

The use of secondary fiber and rejected pulp as fiber raw material for medium paper is very economical. However, the use of reject pulp results in the breaking or removal of the fiber charge due to highly anionic in the rejected pulp. This research aims to determine the optimum dosage of poly aluminum chloride (PAC) as an anionic trash catcher. The anion trash catcher has the role of reducing the value of particle charge in the rejected pulp. In this study, the following variations were used: blank (without PAC), 1 kg PAC/ton paper, 2 kg PAC/ton paper, 3 kg PAC/ton paper, and 4 kg/T paper. The method is first adding PAC to the pulp and then giving retention aid afterwards. The results of the charge test showed a decreasing charge in the pulp from -789.3 -µeq/L to -44.45 -µeq/L. Paper properties tested include ring crush, corrugated and internal bonding. The best ring crush test value was 15.4 kgF at a PAC dose of 2 kg/ton paper. The medium corrugated test (known as concora test) value was 19.79 KgF at a PAC dose of 4 Kg/ton of paper. The internal bounding value was 167.70 J/m2 at a PAC dose of 3 Kg/T. All of these properties' test results have entered the referenced standard. This research concludes that retention aid works effectively on fiber after adding PAC, which acts as an anionic trash catcher.
Effect Of Solvents On Stability Constants of Fe(II) and Ni(II) Transition Metal Ions Chelates With Some Substituted Pyrazoles
Authors: Gopalkrushna Haribhau. Murhekar
Published: March 2023

The reaction of Fe(II) and Ni (II) metal ions with L1 : 3 (2’- chlorophenyl) - 4- benzoyl - 5 (2-hydroxy phenyl) pyrazole, L2: 3 (2’-chlorophenyl) - 4- pyridoyl -5 (2-hydroxy phenyl) pyrazole , L3: 3 (2’-aminophenyl)- 4-pyridoyl - 5 (2- hydroxyl phenyl) pyrazole and L4: 3 (4’-chlorophenyl) -4-Benzoyl -5(2-hydroxy-phyenyl) pyrazole, at 0.1M ionic strength at 28 ± 0.10C in 70% ethanol -water mixture and 70% dioxane-water mixture have been studied pH-metrically. The data obtained were used to estimate the values of proton-ligand (pK) and metal-ligand (logK) stability constants in different solvents. It is observed that the pK and logK values in 70% dioxane-water mixture are greater than in 70% ethanol -water mixture. Fe(II) and Ni(II) metal ions formed 1:1 and 1:2 complexes with all the ligands in both solvent medium.
Basic School Integrated Science Teachers’ Pedagogical Content Knowledge and Its Usefulness in Their Lessons Delivery
Authors: Ezekiel Akotuko Ayimbila  , Joshua Awuni  , Diana Akantagriwon
Published: March 2023

The study investigated basic school integrated science teachers’ pedagogical content knowledge and its usefulness in their lesson’s delivery. The study was carried out within basic schools in the Kassena Nankana Municipality. Two research questions were formulated for the study. Purposive sampling technique was adopted for the study. 100 integrated science teachers were sampled for the study. Self-developed questionnaire was formulated and used for collecting data from the participants. The reliability of the items was determined using Cronbach alpha coefficient of reliability. The data collected were analysed using descriptive (mean, percentage and standard deviation) and inferential statistics (ANOVA). The results of the study proved that integrated science teachers PCK play a very significant role in their lessons delivery. The results of the study also indicated that peer observation and mentoring, professional upgrading, observation visits to other schools, individual and collaborative research and workshops are the major key policies capable of improving integrated science teachers PCK. Based on the findings, it was therefore recommended that in-service training should be organised frequently for teachers at the basic level, Ghana Education Service and Ministry of Education should increase the quota for study leave with pay for integrated science teachers at the basic level and newly trained teachers should be given mentorship by experienced teachers.
Accuracy of IndoseCT for Measuring Effective Diameter from axial CT Images
Authors: Nihayati Rizki  , Choirul Anam  , Heri Sutanto  , Geoff Dougherty
Published: March 2023

We investigated the accuracy of automatic measurements of the effective diameter (Deff) using IndoseCT software with axial computed tomography (CT) images of polyester-resin (PESR) phantoms of various diameters. The phantoms used PESR as the base material mixed with Methyl Ethyl Ketone Peroxide (MEKP) as the catalyst. The phantom diameters were 8, 16, 24, and 32 cm. The phantoms were scanned with a CT scanner from edge-to-edge position with field of views (FOVs) of 30, 35, 40, 45, and 50 cm. The Deff was measured from all slices along the z-axis. It was found that the automatic Deff measurements were very accurate. The Deff values were different by less than 0.02 cm for all diameters and all FOVs used. The maximum difference was obtained a ta diameter of 16 cm and FOV of 35 cm. We found that the precision of Deff measurements along the z-axis was very good with a maximum standard deviation of 0.01 cm. The relationships between phantom diameter and measured Deff for all FOVs had p-values < 0.001 and r2 = 1.000. Therefore, the IndoseCT is able to accurately and precisely measure Deff to facilitate estimating the patient dose in the SSDE metric.
Surveying The Effect of Cutting Parameters on Cutting Force and Surface Roughness When Milling 42Mo Steel with Tin Coating Insert
Authors: Do Thi Kim Lien  , Nguyen Dinh Man  , Phung Tran Dinh
Published: March 2023

In this paper, an experimental study was conducted to determine the influence of cutting parameters on cutting force and surface roughness when milling 42Mo steel. The cutting parameters mentioned in this study include cutting speed, rate and depth of cut. The cutting tool used in this study was a face mill, the cutting insert coated with TIN. The results have determined the level and influence of the cutting parameters as well as the influence of the interaction between these parameters on the cutting force and surface roughness. The relationship between cutting force, surface roughness and cutting parameters has also been established in this study. The reliability of those relationships has been verified by analyzing the graph comparing the probability distributions of the balances with the normal distribution and the graph representing the relationship between the balances and the corresponding values response of the regression model.