bluuebunny/crossref_metadata_2025 huggingface dataset:
It Is Not Enough to Assess Conflicts of Interest When We Bring the Commercial Sector to the Policy Table Comment on "Towards Preventing and Managing Conflict of Interest in Nutrition Policy? An Analysis of Submissions to a Consultation on a Draft WHO Tool"
Authors: Chilet-Rosell Elisa , Hernández-Aguado Ildefonso
Published: October 2021

Ralston et al offer us an interesting analysis of the consultation process of World Health Organization’s (WHO’s) "Draft approach on the prevention and management of conflicts of interests in the policy development and implementation of nutrition programs at country level," in which it shows us how the industry tries to frame the discussion in individual conflicts of interest, avoiding structural conflicts of interest. We must not forget other issues of importance in policy-making, such as the imbalance of power between different actors and the strategies of undue influence used by food and beverage corporations. It is essential to develop regulatory-based tools and procedures that embody ethics and good governance and that can be applied systematically and routinely to prevent corporate influence in health policy-making. A global observatory of corporate practices would also be needed to recommend to governments efficient actions to avoid corporate capture of their policies.
Sangam literature showing about Veera Mangaiyar
Authors: K Hemalatha
Published: October 2021

Since ancient times, the Tamil community has given great value to women. It is said that in the Vedic period men had equal rights with women and husband and wife had equal rights in religious and social duties. The position of women during the Sangam period, similar to the Vedic period, was highly admirable. Women were considered to be of the highest character to household duties. Chastity is with loving virtues patience, morality, maintaining the heart, hospitality, circumference, etc., are the characteristics of the wife. The women of the sangam age considered Nanam better than the best life of all, that innocent chastity was better than that Nanam, and that their husband was life for wives. Women have maintained a good place of Nanam and chastity. She considered it is duty to give birth to the people and to be heroic. The purpose of this article is to express the heroic feelings of women in sangam literature.
Investigation of Optoelectronic Properties of Organic Semiconductor Tetracyaoquinodimethane Based Heterostructures
Authors: AVCI Burcu , HUSSAINI Ali Akbar , ERDAL Mehmet Okan , YILDIRIM Murat
Published: October 2021

Recently, interfacial layer such as metal oxide, insulator and polymer have been used by scientists between the metal and semiconductor to increase the stability of the metal-semiconductor heterojunctions. These materials have been varied according to their usage aims. In this study, graphene nanoribbons (GNR) and 7,7,8,8 Tetracyanoquinodimethane (TCNQ, C12H4N4) layer has been used as interfacial layer between the metal and semiconductor for photodiode applications. The TCNQ layer collects and extracts more electrons in the interface of the device and is used as electron acceptor material for organic solar cells. Herein, we fabricated Al/p-Si/Al, Al/p-Si/TCNQ/Al and Al/p-Si/TCNQ:GNR/Al heterojunctions by physical vapor deposition technique. I-V measurements has been employed under dark and various light illumination conditions to show dielectric properties of the fabricated heterojunctions. From current-voltage characteristics, we calculated the electronic parameters such as ideality factor, barrier heights, series resistances and rise times. It can be concluded from overall results that TCNQ and TCNQ:GNR layers had a major impact on quality and can be considered as quite proper materials for optoelectronic applications.
DİNAMİK VE ETKİLEŞİMLİ BİLGİSAYAR DESTEKLİ FEN VE TEKNOLOJİ ÖĞRETİMİNİN AKADEMİK BAŞARIYA ETKİSİ
Authors: TEKDAL Mehmet , ILHAN Tugba
Published: October 2021

Bu deneysel çalışma, Fen ve Teknoloji dersinde dinamik ve etkileşimli bilgisayar destekli MEB Vitamin öğretim yazılımı yardımıyla yapılan eğitimin öğrencilerin akademik başarısına etkisini araştırmak için gerçekleştirilen deneysel bir çalışmadır. Araştırma süresinde deney grubu olan 5/C sınıfında geleneksel öğretimin yanı sıra bilgisayar destekli yazılım ile kontrol grubu olan 5/B sınıfında ise geleneksel öğretim yöntemiyle ders işlenmiştir. Kuvvet ve Hareket Başarı Testi öntest, sontest, ve kalıcılık testi olarak deney ve kontrol gruplarına uygulanmıştır. Sonuç olarak; Fen ve Teknoloji dersinde, dinamik ve etkileşimli bilgisayar destekli öğretim yönteminin öğrencilerin başarısına geleneksel yöntemden daha çok katkı sağladığı görülmüştür.
SERAMİK KAPLAMA MALZEMELERİNDE VOLKANİK KAYAÇ TÜRÜ OLAN İGNİMBRİTLERİN BOYAR MADDE OLARAK KULLANIMI
Authors: YARDIMCI Deniz , SAKARYA Necdet
Published: October 2021

Doğal yapısında yüksek düzeyde volkanik cam bulunan İgnimbiritler volkanizma nedeniyle demir silikat grubu boyar maddelerin ana fikrini oluşturmaktadır. Demir oksit oranı ve mineralleri ise çalışmanın boyar madde olarak kullanabileceğini ortaya koymuştur. Malzemenin doğal yapısı irdelendiğinde çeşitli metal oksit katkıları ile bir grup renk için boyar madde olarak geliştirilmeye açık malzemeler olduğu saptanmıştır. Seramik Kaplama malzemelerinde Kuru Dijital Baskı uygulamaları ile deneysel çalışmada elde edilen dokusal ve görsel etki çok yakın benzerlik göstermektedir. Çalışmanın sürdürülebilir olması durumda Seramik sektöründe sürekli olarak yurt dışından ithal edilen belirli bir grup renklerin İgnimbiritlerle elde edilebileceği saptanmıştır.
ÇUKUROVA BÖLGESİ TOPRAKLARI İLE SERAMİK YÜZEYLERDE RESİMSEL DEĞERLER
Authors: ÖZBEN Müjgan , SAKARYA Necdet
Published: October 2021

Çukurova Bölgesi Anadolu’nun diğer bölgeleri gibi insanlığın en eski yerleşim bölgelerinden biridir. Çukurova Bölgesi jeomorfolojik yapısı özellikleri dolayısıyla bölge topraklarının, Seramik sanatında kullanılabilir olmasına fırsat sunmuştur. Çalışmada Çukurova Bölgesi arkeolojik kazı alanları çevresindeki toprakların seramik teknolojisine uygunluğu araştırılıp mikro yapıları incelenerek ham madde çamur ve görsel etkilerde kullanılmak amacıyla boya maddesi olarak değerlendirilmiştir. Yapılan uygulama çalışmalarını, sanatsal çalışmaların ontolojik açıdan değerlendirilmesi noktasında ele alacak olursak, malzemedeki özgünlüğe ek olarak, çalışmaların eskiz aşamasından uygulama aşamasına kadar özgünlüğü ve estetik kaygı güdülerek duygu ve düşüncelerin yansıtılması ön planda tutulmuştur.
8. SINIF ÖĞRENCİLERİNİN BİLİMSEL KARİYER İLGİ, BİLGİ VE BİLİMSEL DEĞERLERE SAHİP OLMA DÜZEYLERİNİN İNCELENMESİ
Authors: YENİCE Nilgün , ÖZDEN Bariş , ALPAK TUNÇ Gizem
Published: October 2021

Bu çalışmanın amacı, ortaokul 8. sınıf öğrencilerinin bilimsel kariyer ilgi, bilgi ve bilimsel değerlere sahip olma düzeylerinin incelenmesi olarak belirlenmiştir. İlişkisel tarama modelinde yürütülen araştırmanın örneklemini, 2017-2018 eğitim-öğretim yılında Ege bölgesinde yer alan bir ildeki uygun örnekleme yöntemiyle seçilmiş üç ortaokulun 8. sınıflarında öğrenim görmekte olan 495 öğrenci oluşturmuştur. Araştırmada veri toplama aracı olarak, Lapan ve Turner (1997) tarafından geliştirilen “Bilimsel Kariyer Alanları İlgi Ölçeği”, Altay Köse (2013) tarafından geliştirilen “Bilimsel Kariyer Bilgi Testi” ve Akbaş (2004) tarafından geliştirilen “Bilimsel Değerler Ölçeği” kullanılmıştır. Verilerin analizinde betimsel istatistikler (Aritmetik ortalama, standart sapma) kullanılmıştır. Araştırma sonucunda, öğrenciler genel anlamda en fazla doktor, psikolog meslek alanlarına ilgi gösterirken, en az jeolog, ziraat mühendisi meslek alanlarına ilgi gösterdikleri tespit edilmiştir. Öğrencilerin çeşitli bilimsel kariyer alanlarına yönelik bilişsel anlayışlarının ve bilimsel değerlere sahip olma düzeylerinin olumlu düzeye yakın olduğu belirlenmiştir. Ayrıca öğrencilerin çeşitli bilimsel kariyer alanlarına yönelik ilgi, bilgi ve bilimsel değerlere sahip olma düzeyleri arasında istatistiksel olarak anlamlı ilişkilerin olduğu sonucuna ulaşılmıştır.
ÇANKIRI YÂRAN SOHBETLERİNDE MİTOLOJİK ÖGELER
Authors: YALÇIN Enis
Published: October 2021

Mitler, ilk çağlardan itibaren insanların davranışları ve inanışları üzerinde şekillendirici bir etki yaratmıştır. Kutsal kabul edilip inanıldıklarından dolayı da bu etki nesilden nesle aktarılarak geleneklere ve göreneklere sirayet etmiştir. İnsanlar yeni kültür ve medeniyet dairelerine girseler bile mitlerden kaynaklanan bu davranış ve inanış kalıplarını -bazen bilinçli bir şekilde bazen de farkında olmadan- yaşatmaya devam etmişlerdir. Bu bağlamda selamlama faslından yemeklerin yenilip duaların edildiği bölüme kadar bir ritüel havasında gerçekleştirilen yâran sohbetlerinde de mitlerin izlerini görmek mümkündür. Yâran sohbetlerindeki mitolojik unsurların tespiti, mitlerin halk kültürü içerisinde hâlâ varlığını sürdürdüğünü gözler önüne sermek açısından oldukça önemlidir. Yapılan literatür taramasında yâran sohbetlerini konu alan birçok kitap, bildiri ve makale yayımlanmış olmasına rağmen yâran sohbetlerinin mitolojik arka planını konu alan çalışmaların oldukça sınırlı olduğu görülmektedir. Bu çalışmada mitlerin özelliklerine değinilip yâran sohbetleri tanıtıldıktan sonra Çankırı yâran meclislerinde oynanan oyunların, bu oyunlarda giyilen kostümlerin, kullanılan aletlerin ve icra edilen müziklerin mitik özellikleri üzerinde durulmuştur.
Perkembangan Awal Larva Ikan Mas (Cyprinus carpio L) dari Induk yang Diberi Pakan dengan Penambahan Kurkumin
Authors: Rawung Livana Dethris , Saruan Jacson , Rayer Debby J.J. , Moko Emma Mauren
Published: October 2021

Perkembangan awal larva sangat dipengaruhi oleh ketersediaan makanan yang berasal dari kantung telurnya. Tidak terpenuhi nutrisi pada masa awal perkembangan dapat mempengaruhi perkembangan larva. Tujuan penelitian ini adalah untuk mengukur diameter telur hasil pemijahan  dan panjang badan pada awal perkembangan larva ikan mas dari induk yang diberi pakan dengan penambahan kurkumin. Penelitian ini menggunakan induk betina ikan mas yang diberikan suplementasi kurkumin pada beberapa dosis yaitu 0%; 0,25%; 0,5%; 1%; dan 2%.  Ikan yang telah matang gonad kemudian dipijahkan. Telur yang telah terbuahi kemudian diambil untuk ditetaskan dan diamati perkembangan larvanya selama 2 hari setelah penetasan (hsp). Hasil pengamatan menunjukkan bahwa perlakuan suplementasi kurkumin dengan dosis 0,5% yang diberikan dalam pakan induk betina ikan mas memberikan nilai yang optimal terhadap diameter telur hasil pemijahan (p<0,05) dan panjang badan larva sampai pada umur 2 hsp (p<0,05), namun panjang mutlak larva sampai pada 2 hsp tidak menunjukkan adanya perbedaan antar perlakuan (p>0,5). Berdasarkan hasil penelitian ini dapat disimpulkan bahwa suplementasi kurkumin dengan konsentrasi 0,5% pada induk betina ikan mas dapat mengoptimalkan pertumbuhan larva pada awal kehidupannya.Kata kunci : Cyprinus carpio, kurkumin, larva Early Development of Common Carp Larva from Broodstock Fed Diet Supplemented with CurcuminABSTRACTThe early growth of the larva is greatly influenced by the availability of food from the egg yolk. Insufficiency of nutrition in the early stages of development can affect the development of larva. The purpose of this study was to know the early growth of larva from broodstock supplemented with curcumin. This study used the female broodstock of common carp that supplemented with curcumin at several doses; 0%; 0,25%; 0,5%; 1%; and 2%. The fishes that had been mature were spawned, and the fertilized eggs were taken to be hatched. The larva was observed for 2 days after hatching (dah). The results showed that the treatment of curcumin supplementation with a dose of 0,5% given in the common carp feed gave an optimal value for egg diameter (p <0,05) and body length of the larva until the age of 2 dah (p <0,05), but did not differ for absolute length growth (p>0,05).Key words: Cyprinus carpio, curcumin, larva
Role of Artificial Intelligence in Social Media and Human Behaviour
Authors:   Department of Computer Science and Engineering, SOA (deemed to be) University, Bhubaneswar (Odisha), India., Satpathy Smitarani , Patnaik Dr. Srikanta ,   Department of Computer Science and Engineering, SOA (deemed to be) University, Bhubaneswar (Odisha), India.
Published: October 2021

The paper contains the simple idea of Artificial Intelligence on social media and human behaviour. The major concern of this paper is to show the changing behaviour of human being and Artificial Intelligence usefulness in human life as well as social media. Social media popularity came into high during the last decade due to smart technologies used in mobile and internet. In last 10 years research on AI shows its impact on human life as well as in media marketing.
Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique
Authors:   Professor, Department of Computer Science & Engineering, HKBK College of Engineering, Bangalore (Karnataka), India,, NR Deepak , N Thanuja ,   Asst. Prof., Department of Computer Science & Engineering, Bangalore Institute of Technology, (VTU), Bangalore (Karnataka), India.
Published: October 2021

The massive deployment of Internet of Things (IoT) is allowing Smart City projects and initiatives all over the world. Whereas IOT deals with intricate systems that integrates multiple disperse components towards their synergetic use. Due to resource constraints, there will be a problem in the future to provide all the services to the residents. To continue to serve and improve the standard of living of the growing population, it is necessary to develop smart cities. The Smart City aims to make optimal and sustainable use of all resources, while maintaining an appropriate balance between social, environmental and economic costs. The wireless sensors are attached to street lamp, water tank, dustbin. Sensors are then attached to Arduino microcontroller board where each and every necessary parameter for city are monitored and updated to cloud. The cloud is connected with Blynk server in turn which is connected to build in Blynk application of user's Android phone. The technology we use is IOT in this model a system of interconnected smart modules is developed where each and every parameter necessary for a city is monitored and updated to the cloud. Emphasis is given on how sensing and communication technologies of IOT can effectively be used in smart city monitoring. The project aims at developing a system which facilitates aids in collection of data with the help of interconnected modules consisting of multiple sensors useful for smart city monitoring. Further this project also includes controlling of some parameters like water, light and dust bin.
A Data-Centric Approach to Improve Machine Learning Model’s Performance in Production
Authors:   B.Tech. Department of Computer Science & Engineering, Institute of Engineering & Management, Salt-Lake, Kolkata, India., Bhowmik Pritom , Partha Arabinda Saha ,   B.Tech. Department of Computer Science & Engineering, Institute of Engineering & Management, Salt-Lake, Kolkata, India
Published: October 2021

Machine learning teaches computers to think in a similar way to how humans do. An ML models work by exploring data and identifying patterns with minimal human intervention. A supervised ML model learns by mapping an input to an output based on labeled examples of input-output (X, y) pairs. Moreover, an unsupervised ML model works by discovering patterns and information that was previously undetected from unlabelled data. As an ML project is an extensively iterative process, there is always a need to change the ML code/model and datasets. However, when an ML model achieves 70-75% of accuracy, then the code or algorithm most probably works fine. Nevertheless, in many cases, e.g., medical or spam detection models, 75% accuracy is too low to deploy in production. A medical model used in susceptible tasks such as detecting certain diseases must have an accuracy label of 98-99%. Furthermore, that is a big challenge to achieve. In that scenario, we may have a good working model, so a model-centric approach may not help much achieve the desired accuracy threshold. However, improving the dataset will improve the overall performance of the model. Improving the dataset does not always require bringing more and more data into the dataset. Improving the quality of the data by establishing a reasonable baseline level of performance, labeler consistency, error analysis, and performance auditing will thoroughly improve the model's accuracy. This review paper focuses on the data-centric approach to improve the performance of a production machine learning model.
An Improved Vanet Clustering and Channel Quality using Movc and Weighted Probability
Authors:   Department of Computer Science and Technology, Nanjing Univesity of Information & Science, Nanjing, China., Rana MD. Sohel , Hossan Md. Alamin ,   Asst. Biomedical Engineer, Genetic Trading, Dhaka, Bangladesh., Adel Abidullha ,   Assistant Professor and Lecturer, Kunduz University, Afghanistan., J Jayastree ,   Research Associate, Department of Electronics and Communication Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai (Tamil Nadu), India.
Published: October 2021

VANET offers a vast range of application which will make travel experience safe. The concept behind VANET is quite simple which incorporates wireless communication and capable of sharing data; the vehicles are turned for offering network to provide services which can be used in the home or office networks. VANET network nodes are move in-network with higher velocity in the network. This higher mobility of vehicles causes increased resource and energy utilization which causes failure of nodes. Resource and energy consumption is higher for inefficient constructed clustering for VANET. Also, vehicle mobility causes several obstacles in data transmission this causes degraded channel quality. data transmission this causes degraded channel quality. In this paper concentrated on improving channel quality and energy efficiency in the network. Initially, performed efficient clustering through middle-order based cluster head (CH) election (MOVC) mechanism. Through effective CH election resource and energy utilization is limited. In the next stage, channel quality is improved by the proposed weighted probability approach for effective data transmission between vehicles in the VANET network. The weighted probability approach estimates the path for data transmission to destination vehicle. Through the selection of CHs using the middle-order approach, the network exhibits an effective maintenance phase here, the weighted probability is applied for the estimation of the path for effective data transmission in the VANET. The comparative analysis of the proposed approach exhibits significant performance rather than conventional technique. The estimated residual energy of the proposed approach is almost 20% higher than ACO, PSO, and KH. The packet delivery rate is observed around 80% and delay is minimal as of 2.5sec.
Classification of Grain s and Quality Analysis u sing Deep Learning
Authors:   Department of Electronics and Telecommunication Engineering, Graduate. The areas of interests are Machine Learning, Data Analytics, Deep Learning. Mumbai, India., Shrivastava Priyanshu , Singh Karan ,   Department of Electronics and Telecommunication Engineering, Graduate. The areas of interests are Machine Learning, Data Analytics, Deep Learning, Cloud Computing. Mumbai, India., Pancham Ashish ,   Department of Electronics and Telecommunication Engineering, graduate. The areas of interests are Machine Learning, Data Analytics, Deep Learning, Cloud Computing. Mumbai, India.
Published: October 2021

There are various varieties of Rice and lentils. Price fabrication and adulteration have been some of the various issues faced by the consumers, farmers and wholesale retailers. Traditional methods for Identification of these similar types of grains and their quality analysis are crude and inaccurate. Methods were tried to implemented earlier but due to financial inability and low efficiency, they weren’t successful. To overcome this problem, the project proposes a method that uses a machine learning technique for identification and quality analysis of these grains. Rice and Lentils which have the maximum consumption have been selected. Lentils are designated into classes based on colors. The technique of determining the elegance of a lentil is with the aid of seed coat shade. Red lentils can be confirmed through the cotyledon coloration. Lentil types may also have a huge variety of seed coat colors from inexperienced, red, speckled inexperienced, black and tan. The cotyledon colour may be red, yellow or inexperienced. The size and color of every Indian Lentil type (i.e. Red, Green, and Yellow, Black, White) are decided to be large or Medium or small, then size and colour end up part of the grade name. An smart machine is used to perceive the kind of Indian lentils from bulk samples. The proposed machine allows kernel length and coloration size using picture processing techniques. These Lentil size measurements, when combined with color attributes of the sample, classify three lentil varieties commonly grown in India with the highest accuracy. Rice is one of most consumed grains in India so its quality is of utmost importance. In this project, we identify and grade five types of rice and grade them with the help of their distinguished features such as size, color, shape, and surface. The project works in three phases viz., Feature Extraction, Training, and Testing. Various rice grain has a different shape, size, surface and various lentils come in different colors, Hence the feature that will be extracted is texture and colors. The method of regression will be adopted for the grading mechanism where the output will be in terms of percentage purity. The methodology for the extraction of the feature will be GLCM and Edge Detection where for supervised learning SVM and Back Propagation will be utilized. The project provides an efficient replacement for the traditional grading mechanism and standardizes the pricing of farm products based on their quality only.
Computation of Permeability of Soil using Artificial Intelligence Approaches
Authors:   PhD Fellow, Department of Civil Engineering, Rajasthan Technical University, Kota, (Rajasthan), India., Khatti Jitendra , Grover Kamaldeep Singh ,   Professor, Department of Civil Engineering, Rajasthan Technical University, Kota, (Rajasthan), India.
Published: October 2021

The Gaussian Process Regression (GPR), Decision Tree (DT), Relevance Vector Machine (RVM), and Artificial Neural Network (ANN) AI approaches are constructed in MATLAB R2020a with different hyperparameters namely, kernel function, leaf size, backpropagation algorithms, number of neurons and hidden layers to compute the permeability of soil. The present study is carried out using 158 datasets of soil. The soil dataset consists of fine content (FC), sand content (SC), liquid limit (LL), specific gravity (SG), plasticity index (PI), maximum dry density (MDD) and optimum moisture content (OMC), permeability (K). Excluding the permeability of soil, rest of properties of soil is used as input parameters of the AI models. The best architectural and optimum performance models are identified by comparing the performance of the models. Based on the performance of the AI models, the NISEK_K_GPR, 10LF_K_DT, Poly_K_RVM, and GDANN_K_10H5 models have been identified as the best architectural AI models. The comparison of performance of the best architectural models, it is observed that the NISEK_K_GPR model outperformed the other best architectural AI models. In this study, it is also observed that GPR model is outperformed ANN models because of small dataset. The performance of NISEK_K_GPR model is compared with models available in literature and it is concluded that the GPR model has better performance and least prediction error than models available in literature study.
A Hybrid Self-Voltage Balanced Multilevel Inverter Topologies for Induction Motors
Authors:   Department of Electrical Engineering, Shri G.S. Institute of Technology & Science, Indore (Madhya Pradesh) India., Kumar Sanjeev , Verma H.K. ,   Department of Electrical Engineering, Shri G.S. Institute of Technology & Science, Indore (Madhya Pradesh) India., Chawla M.P.S. ,   Department of Electrical Engineering, Shri G.S. Institute of Technology & Science, Indore (Madhya Pradesh) India.
Published: October 2021

A hybrid structured asymmetric switching capacitor multilevel inverter (ASC-MLI) is suggested in this work. The notion behind presenting this topology is to reduce the device count and DC sources as compared with conventional MLI. The step by step operating mode of single phase ASC-MLI is presented and by doing slight modifications the same configuration is used in three phase utility application and electric drive. The proposed configurations utilize major benefits of self-voltage balancing capability of capacitor voltage, which is independent from different load type and modulations index. To generate the switching pulse for corresponding switches the multi-carrier based sinusoidal pulse width modulation (MCS-PWM) technique is used; in addition to this simulation result are obtained using MATLAB/Simulink 2016b software version. Simulation results of an induction motor drive connected as three phase load highlights good performance of 17-level MLI.
Deep Categorization of Blood Cells u sing Depthwise Convolutions
Authors:   Department of Computer Science and Engineering, GITAM (Deemed to be University), Hyderabad. (Telangana), India., Rao T Sudarshan , Sai N Rohan ,   Department of Computer Science and Engineering, GITAM (Deemed to be University), Visakhapatnam. (Andhra Pradesh), India., Rao D Koteswara ,   Department of Computer Science and Engineering, GITAM (Deemed to be University), Hyderabad. (Telangana), India.
Published: October 2021

Modern-day computation has become indispensable in the healthcare industry. From medical image processing to cost reduction, Artificial Intelligence has proved its significance in solving complex healthcare problems. One of the primary areas in which it can be of greater use in hematology. Categorization of white-blood cells is imperative to pre-identify abnormalities. Through this paper, we collected image samples for 4 major White Blood cell groups, which are Neutrophils, Lymphocytes, Monocytes, and Eosinophils. The aim of this research is to put forward an intelligent system that efficiently alleviates the stringent requirement of a cytological study. The proposed system classifies 4 white-blood-cell types based on their morphological variation. With the experimental modulations that we chose to integrate, the presented model attained an accuracy of 97%.
Brake Health Prediction Using LogitBoost Classifier Through Vibration Signals
Authors: S Harish , K Krishna Anusha , Jegadeeshwaran R. , Sakthivel G
Published: October 2021

Brake is one of the crucial elements in automobiles. If there is any malfunction in the brake system, it will adversely affect the entire system. This leads to tribulation on vehicle and passenger safety. Therefore the brake system has a major role to do in automobiles and hence it is necessary to monitor its functioning. In recent trends, vibration-based condition monitoring techniques are preferred for most condition monitoring systems. In the present study, the performance of various fault diagnosis models is tested for observing brake health. A real vehicle brake system was used for the experiments. A piezoelectric accelerometer is used to obtain the signals of vibration under various faulty cases of the brake system as well as good condition. Statistical parameters were extracted from the vibration signals and the suitable features are identified using the effect of the study of the combined features. Various versions of machine learning models are used for the feature classification study. The classification accuracy of such algorithms has been reported and discussed.
Examining the role of human capital and strategic management in Islamic perspective
Authors: Muafi Muafi
Published: October 2021

This study examines and analyzes the effect of; (i) Human Capital in Islamic Perspective (HCIP) on Business Sustainability (BS); (ii) Strategic Management in Islamic Perspective (SMIP) on Business Sustainability, (iii) Mediation of Strategic Management in Islamic Perspective in relation to Human Capital in Islamic Perspective on Business Sustainability. This study uses Batik MSME respondents in Pekalongan City. Pekalongan is a Batik city that has the batik talents, qualified craftsmen, known worldwide and have been passed down from one generation to the next. The target sample is 150 MSMEs. It is conducted purposively with a return rate of 116 questionnaires (response rate 77%). The data is collected through questionnaires and interviews with several owners or managers of MSMEs. The statistical technique uses Partial Least Square (PLS 3.3). This study finds that; (i) Human Capital in Islamic Perspective has no significant effect on Business Sustainability; (ii) Strategic Management in Islamic Perspective has a significant effect on Business Sustainability, (iii) Strategic Management in Islamic Perspective mediates the effect of Human Capital in Islamic Perspective on Business Sustainability
The effects of work-life balance and emotional intelligence on organizational commitment mediated by work engagement
Authors: Marseno Waly Andini , Muafi Muafi
Published: October 2021

This study aims to examine the effect of work-life balance and emotional intelligence on organizational intelligence through work engagement. This quantitative research was conducted by distributing questionnaires to 118 employees of Kebumen Branch and Unit of BRI Bank using a purposive sampling method. The data analysis used was Structural Equation Modeling (SEM) using second-order confirmatory with the help of SmartPLS 3.0 application. The results showed that; (1) work-life balance has a positive and significant effect on work engagement, (2) emotional intelligence has a positive and significant effect on work engagement, (3) work-life balance has a positive and significant effect on organizational commitment, (4) emotional intelligence has a positive and significant effect on organizational commitment, (5) work engagement has a positive and significant effect on organizational commitment, (6) work engagement plays a role in mediating the effect of work-life balance on organizational commitment (7) work engagement plays a role in mediating the effect of emotional intelligence on organizational commitment of employees of Kebumen Branch and Unit of PT Bank BRI.
The effect of educational attainment, length of work experience on the self-efficacy of teachers and employees
Authors: Abun Damianus , Asuncion Sonny Bumanglag , Lazaro Janette R. , Magallanes Theogenia , Nimfa C. Catbagan
Published: October 2021

The study aims to determine the effect of educational attainment, length of work experience on self-efficacy and also to determine the difference of self-efficacy of employees based on the educational attainment and the length of work experience. To support the theories of the study, literature was reviewed. The study used a descriptive correlational research design and the questionnaires were used to gather the data. The population of the study was all employees of the Divine Word College of Laoag, Ilocos Norte, Philippines. The Multilinear regression analysis was used to determine the correlation and the analysis of variance (ANOVA) was used to determine the difference of self-efficacy among employees based on educational attainment and the length of work experience. The study found that the self-efficacy of employees was high and there is a correlation between educational attainment and self-efficacy and the length of work experience and self-efficacy. It is also found that there is a significant difference in self-efficacy among employees based on educational attainment and the length of work experience. Thus, based on the findings, then the hypotheses of the study are accepted.
Investigating the effects of online sports betting on the perceived social wellbeing of student athletes
Authors: Benson Gathoni Ndung’u , Munayi Simon , Wanjira Janet , Inyega Justus
Published: October 2021

This study investigates the effects of online sports betting on the perceived social wellbeing of student-athletes using a cross-sectional survey methodology with a sample of 38 universities. Findings of the study demonstrate that (i) there was a positive and significant association between gambling severity and social wellbeing, (ii) gambling severity and social wellbeing of students are positively and significantly related, (iii) demographic factors have a significant interaction effect on gambling severity and social wellbeing relationship. This paper also exhibited that gamblers were disappointed after online sports betting efforts and that fatigue and sleep disturbances were common after a loss or victory on online sports betting. Problem gamblers should be introduced to treatment or rehabilitation programmes that will help them to overcome their addiction to online sports betting.
HEART RATE VARIABILITY RELATED TO N95 RESPIRATOR USE IN INTERNS DURING COVID-19 PANDEMIC
Authors: Sujana Pakanati , Gandhavalla Venkata Mahesh , Rao K. Prabhakara
Published: October 2021

Introduction: COVID19 is caused by SARS-CoV-2 which is primarily transmitted through respiratory droplets and contact routes. WHO
recommended the use of personal protective equipment (PPE) for prevention and N95 respirators are critical components of PPE. Breathing
through N95 respirator will impart stress in the individual and that can be assessed by heart rate variability (HRV). HRV measures the variation in
time between each heartbeat controlled by autonomic nervous system (ANS), which is a non invasive reliable index to identify the ANS
imbalances.
Aims And Objectives: This study is aimed at assessing the HRV of Interns working in COVID19 wards using N95 respirators.
Methodology: This study included 100 interns in whom short term HRV was recorded using the standard protocol. Lead II of ECG was recorded
using AD instruments (ADI) 8channel polygraph and HRV was analysed using Labchart 8pro software. The recordings were taken before and
1hour after wearing N95 respirator.
Results: Overall HRV (SDRR) was found to decrease signicantly after wearing N95 respirator for 1hr (p=0.000). Similarly, indices representing
the parasympathetic component ( RMSSD and HF ) were also found to decrease signicantly with the use of N95 respirator. Low frequency (LF)
power and LF/HF ratio increased signicantly with N95 respirator use (p=0.000).
Conclusion: We conclude that using N95 respirator increased sympathetic activity reecting decreased HRV in our subjects Hence we recommend
that it is better to change the duty pattern for interns.
LMA PROSEAL: AN ALTERNATIVE TO ENDOTRACHEAL IN- TUBATION IN OPEN
APPENDECTOMY OPERATION.' IN THE DEPARTMENT OF ANESTHESIOLOGY, MEDICAL COLLEGE, KOLKATA
Authors: Karmakar Manas , Kanti Nath Pallab , Das Ashok
Published: October 2021

INTRODUCTION One of the important responsibilities of an Anaesthesiologist is to maintain a patent airway during any surgical procedure.
Since the early days of Anaesthesia, various efforts have been made to dispel the problem of airway maintenance.
AIMS AND OBJECTIVES The study entitled “LMAProSeal: An alternative to endotracheal intubation in open appendicectomy operation” was
conducted with the aims to compare the efcacy of LMA ProSeal and Endotracheal Tube in patients undergoing Open Appendectomy under
General Anaesthesia.
MATERIALAND METHODS
Study Area: This study was conducted in Medical College, Kolkata (West Bengal), under the department of Anaesthesiology in General Surgery
Operation Theatre (C. B. Top OT/ Green OTComplex), after clearance from the Hospital ethical committee, during the period from 1st may 2013 to
31st January 2014. Awritten informed consent was taken from all patients included in the study.
StudyPopulation:Patients postedforopenAppendicectomyoperationwithBMIbetween18.50–24.99kg/m2andbodyweightbetween30—60kg.
Sample Size: 100
RESULTS AND OBSERVATIONS The effects were observed by monitoring heart rate, blood pressure and SPO2 preoperatively (as baseline),
after intubation or placement of LMAProSeal at 1 min, 3 mins, 5mins and every 5 mins thereafter till the reading at removal of the device. For both
the groups baseline ETCO2 was taken from connection of ETCO2 cable following placement of airway devices.
SUMMARY AND CONCLUSION The study revealed that both the airway devices (ET tube and LMA ProSeal) were successful in operative
procedure (open appendicectomy) in all the patients without any signicant complication. In experienced hands and following a strict protocol of
insertion, the LMA ProSeal can prove to be an efcient and safe alternative to endotracheal tube for airway management of elective patients undergoing laparotomy procedure like open appendicectomy.
BALLOON VALVULOPLASTY FOR EARLY BIOPROSTHETIC AORTIC VALVE STENOSIS IN SEPTUAGENARIAN - A RAY OF HOPE
Authors: Reddy G.B Chandra Shekara , Kumar Chawath siddarth , Sriniivas Arun
Published: October 2021

Calcic aortic stenosis (AS) remains a major cause of mortality and morbidity in the aging population . Surgical AV Replacement (SAVR) and
Transfemoral Aortic Valve Implantation (TAVI) are available treatment options. With improvements in long term patient survival after AVR and
increases in overall longevity, more patients are now seen with Prosthetic Aortic Valve failure. The management of patients with stenotic aortic
bioprostheses is usually surgical. However, a proportion of such patients are unt for such procedures. The technique of aortic balloon
valvuloplasty as an alternative treatment strategy for such patients is explored. We report a case of seventy-three-year-old male with prosthetic
aortic valve stenosis treated with balloon valvuloplasty with promising intermediate term outcome and describe the growing valve in valve
procedure. Hence this case is reported to enhance our knowledge and potentiate literature regarding the management strategy of prosthetic aortic
valve stenosis in old age.
A COMPARATIVE STUDY OF 0.5 % BUPIVACAINE WITH FENTANYL VERSUS 0.75% ROPIVACAINE WITH FENTANYL IN EPIDURALANESTHESIA FOR ABDOMINAL HYSTERECTOMY
Authors: Vijayan Pravin , Jana Debarshi
Published: October 2021

INTRODUCTION Abdominal hysterectomy (AH) is a quite common gynaecological surgical procedure and electively done under central
neuraxial blockade. AH is performed for malignant as well as benign indications such as uterine leiomyoma, persistent vaginal bleeding, or pelvic
organ prolapse.
AIMS AND OBJECTIVES Compare the onset of motor and sensory block. Find out the duration of the sensory and motor blockade. Observe
intraoperative hemodynamic changes and assess post-operative analgesia requirements in 24 hour. Duration of analgesia assessed by requirement
of rst rescue analgesic. Observe any untoward incident during intraoperative and post-operative period and managed accordingly
MATERIALS AND METHODS
Study Area: Department of Anesthesiology & critical care, DARBHANGAMEDICALCOLLEGE AND HOSPITAL.
Study Population: Adult patients (30- 65 years) undergoing elective abdominal hysterectomy with regional anaesthesia were included for this
study.
Study Period:January 2019 to March 2020
Sample Design: Subjects were divided into two groups (n=35) equal in numbers and they sampled as per computerized randomization chart. These
patients were divided into two groups, group B (with epidural 0.5% bupivacaine and 100g fentanyl) and group R (with epidural 0.75%
ropivavaine and 100g fentanyl).
Study Design: Prospective, open, randomized, controlled study.
RESULTS: In Our study showed that 3.38kg/m2 and 24.86 3.60 kg/m2in group B and R respectively. The duration of surgery was 100.86
9.35minutes and 98.86 8.32 minutes and the duration of stay, was4.86 0.81days and 4.60 0.914 days in group B and group R respectively. Now
with comparison of both groups, time to onset of sensory block (uptoT6) has signicant variation. But the other parameters namely, time to onset of
motor block, two segment regression or duration of sensory block, rescue analgesia timing and complete motor recovery time were comparable and
not signicant statistically in both groups.
SUMMARY & CONCLUSIONS To conclude that in the present study using 0.5% bupivacaine with fentanyl and 0.75% ropivacaine with
fentanyl epidurally, ropivacaine produced an earlier onset but similar duration of sensory block. The onset, quality and duration of motor block
werecomparable in both the groups. It is important that new local anaesthetics with lower cardiotoxic property are adopted to ensure that regional
techniques using large amounts of local anaesthetics remain safe with minimal complications. The recovery prole of ropivacaine may be useful
where prompt mobilization is require
Utilization Of Augmented Reality In Automotive Subjects For Basic Competencies Of Four-Wheeled Vehicle Brake Systems
Authors: Farkhan Muhammad , Setyati Endang , Haryanti Chandra Francisca
Published: October 2021

In automotive learning, teachers generally use books and teaching aids as learning media. Automotive learning outcomes show the low value of learning outcomes. Thus a learning media is needed that can help improve learning outcomes. One way to overcome this problem is to use learning media that utilize augmented reality technology. In this study, a learning media using augmented reality technology based on android was developed to simulate the brake system on four-wheeled vehicles in 3 dimensions. The Augmented Reality work system used is marker based tracking, and uses 3D Max software and the Vuforia plug-in. In terms of pedagogy, this learning system uses the Modality Principle.

Participants are class XI students of SMK YPM 4 Taman. This research uses experimental research. The students involved were 44 students divided into 2 groups, with each group consisting of 22 students. Both groups received a pre-test and a post-test. The experimental group was given treatment with Augmented Reality-based learning media, while the control group did not use conventional learning media. After making comparisons, the results show less than optimal due to the pandemic period.

The results showed that the pre-test result between the control group and the experimental group was 49.32, and the post-test result for the control group was 62.73, while for the experimental group it was 73.18. So that from the difference in the difference in post-test scores between the experimental group and the control group shows that the treatment factor by providing Augmented Reality-based learning media in the experimental group has an influence. From observations and interviews, students were more active in learning activities and students were eager to take part in learning. This proves that students are interested in this media which can generate motivation to learn.
Reflections on an action-oriented workshop: How can more of our professors be Māori and Pasifika?
Authors: Funaki Hine , Smith Avery , Appleton Nayantara Sheoran , Beausoleil Emily , Hall Meegan , MacDonald Liana , Thomas Amanda
Published: October 2021

There is a chronic underrepresentation of Māori and Pacific academics in our university sector in Aotearoa New Zealand. Sitting behind the disparity are a range of practices that support some groups in Aotearoa New Zealand to succeed and move more freely through higher education institutions than others. In response to scholarship highlighting this issue, a collective of students and staff at Te Herenga Waka | Victoria University of Wellington came together to organise an action-oriented workshop to draw attention to ways that universities are governed through power relations. Attention was also paid to mitigating power imbalances in the organisation, format, and delivery of the event, and between attendees, presenters, and event facilitators from dominant and non-dominant ethnic and cultural groups. This reflection piece is not so much a recounting of the event itself but rather an opportunity to share with the wider academic world ways in which the collective attempted to hold our university accountable for failing in their responsibilities to the people on whose ancestral lands they exist.
Faithfulness and fidelity across identities and contexts for SOTL in the global South
Authors: Lee KC , Simpson Zach
Published: October 2021

Issue 5.2 of SOTL in the South features four peer-reviewed articles, one reflective piece and one book review. The peer-reviewed articles include two articles about broader concerns related to the scholarship of teaching and learning in higher education, namely the discursive and negotiated work of producing SoTL work and the importance of considering diverse worldviews regarding research ethics. In addition, there are two detailed accounts of instances of SoTL, one from Lesotho, addressing the challenges facing students from rural contexts, and the other from South Africa, investigating the implementation of collaborative learning in a fourth-year social work classroom. The issue concludes with a reflection on an action-oriented workshop held in Aotearoa New Zealand aimed at increasing the number of Māori and Pasifika academics, and a review of The Bloomsbury Handbook of the Internationalization of Higher Education in the Global South.
ASSESSMENT OF CONTINENT-WISE ENERGY EFFICIENCY BASED ON CO2 EMISSIONS: A
SLACK-BASED DEA APPROACH
Authors: Mohd Afjal  , Kavya C S
Published: October 2021

This study uses the Data Envelopment Analysis (DEA) slack-based model (SBM) and Malmquist Productivity Index (MPI) to evaluate energy efficiency based on CO2 emissions in 42 countries belonging to 6 continents. First, the data envelopment analysis was employed to calculate the efficiency scores for the countries individually and continent basis and then Malmquist index was used to examine the improvement. The study period chosen was 2011-2020. The results of this study showed that on the basis of continents there has been fluctuations in energy efficiency except for Australia, with an efficiency score of equal to one throughout the study period. Additionally, from the results of Malmquist Productivity Index it was found that the 42 countries showed no significant energy enhancement during the period of 2011-2020.
KEYWORDS: Energy Efficiency, CO2 emissions, Continents, Data Envelopment Analysis, Malmquist Productivity Index
Strategies for assessment and implementation of sustainable manufacturing
Authors:   Department of Mechanical Engineering, Delhi Technological University, Delhi, India., Sharma Deepak ,   Department of Mechanical Engineering, GLA University, Mathura, India
Published: October 2021

Manufacturing has been acknowledged for the intensive use of renewable raw materials, energy sources, and a significant contributor to pollutants causing multiple environmental issues and health hazards to the community. Sustainable manufacturing is a necessary prerequisite to conserve natural resources, mitigate the adverse impacts on environment, global economy, and society. It is important to identify and understand the implementation steps and the evaluation process for developing a sustainable manufacturing system. In this review, sustainable manufacturing has been described for better understanding of the concept. The insights about existing sustainability metrics with the inclusion of environmental, economic and social aspects of sustainability has been explored. The various sustainability indicators have been documented to provide an overview for sustainability assessment framework. In addition, the gaps in the existing sustainability metrics have been identified and the future goals for tailoring the current indicators has been explored. Thus, the study provides strategies for suitable sustainability assessment and action-plan for implementation of sustainable manufacturing.