bluuebunny/crossref_metadata_2025 huggingface dataset:
Responsivitas Ombudsman Republik Indonesia Perwakilan Provinsi Sumatera Utara dalam Penanganan Laporan Masyarakat
Authors: Annisa Annisa Octavi Sheren , Mohammad Ridwan
Published: June 2024

Tujuan penelitian ini adalah untuk menganalisis dan mendeskripsikan bagaimana responsivitas Ombudsman RI Perwakilan Provinsi Sumatera Utara dalam penanganan laporan masyarakat. Penelitian ini dilatarbelakangi tingginya jumlah laporan masyarakat di Sumut sehingga penting untuk mendalami bagaimana responsivitas serta upaya yang dilakukan Ombudsman RI Perwakilan Provinsi Sumatera Utara sebagai lembaga pengawas eksternal dalam menindaklanjutinya. Penelitian ini menggunakan metode deskriptif dengan pendekatan kualitatif. Pengumpulan data dilakukan dengan teknik observasi, wawancara, dokumentasi dan studi pustaka. Analisis data dilakukan secara kualitatif dengan pendekatan teori responsivitas yang dikemukakan oleh Zeithaml, yakni merespon setiap pelapor yang ingin mendapatkan pelayanan, melakukan pelayanan dengan cepat, tepat, cermat, tepat waktu, serta merespons semua keluhan pelapor. Hasil penelitian ini menunjukkan bahwa Ombudsman RI Perwakilan Sumatera Utara cukup responsif dalam hal menerima pelapor yang datang, merespons keluhan pelapor, serta kecermatan dalam menangani laporan masyarakat. Namun, masih diperlukan peningkatan responsivitas penanganan laporan masyarakat dalam hal ketepatan, kecepatan penyelesaian, serta ketepatan waktu. Ada berbagai faktor yang memengaruhi proses penyelesaian laporan yaitu tingkat kerumitan kasus, sikap pelapor dan terlapor, serta tidak adanya standar waktu penyelesaian yang pasti. Selain itu, ditemukan juga bahwa kendala dalam memaksimalkan responsivitas Ombudsman RI Perwakilan Provinsi Sumatera Utara yaitu keterbatasan jumlah sumber daya manusia dan anggaran untuk menunjang percepatan penyelesaian laporan di seluruh daerah.
Transformasi Digital Dan Partisipasi Masyarakat: Mewujudkan Keterlibatan Publik Yang Lebih Aktif
Authors: Jumalia Mannayong  , Muh. Rizal S, Herling  , Muhammad Faisal
Published: June 2024

Artikel ini mengeksplorasi hubungan dinamis antara transformasi digital dan partisipasi masyarakat dalam konteks keterlibatan publik. Dengan semakin terintegrasinya teknologi digital di berbagai sektor, terdapat kebutuhan yang semakin besar untuk memahami bagaimana kemajuan teknologi ini dapat meningkatkan keterlibatan masyarakat. Tujuan utama dari penelitian ini adalah untuk menyelidiki bagaimana inisiatif transformasi digital dapat menghasilkan keterlibatan publik yang lebih aktif dan praktik partisipatif di Indonesia. Studi ini menggunakan pendekatan penelitian kualitatif melalui studi kasus dari berbagai organisasi publik dan survei yang mengukur pemanfaatan alat digital dan tingkat keterlibatan masyarakat. Temuan penelitian ini menyoroti peran penting platform digital, seperti media sosial, forum online, dan aplikasi seluler, dalam mendorong interaksi langsung antara badan pemerintah dan masyarakat. Selain itu, penelitian ini mengungkapkan bahwa transformasi digital yang efektif tidak hanya memperluas jangkauan inisiatif publik namun juga memberdayakan masyarakat untuk menyuarakan pendapatnya, menyumbangkan ide, dan berkolaborasi secara lebih aktif dalam proses pengambilan kebijakan. Penelitian ini berkontribusi pada pemahaman yang lebih mendalam mengenai potensi transformasi digital untuk membentuk kembali lanskap keterlibatan publik, yang pada akhirnya mendorong masyarakat demokratis yang lebih partisipatif dan inklusif.
Effects of action observation therapy with Otago exercises on balance and quality of life in older adults
Authors:   Mehram Shah Rehabilitation Centre, Rawalpindi. Pakistan, Ahmed Shah , Manzoor Farah ,   International Institute of Science Arts and Technology Gujranwala Pakistan., Naseem Hafsa ,   International Institute of Science, Arts and Technology Gujrawala Pakistan, Qandil Ansari Amna ,   Mehram Shah Rehabilitation Centre,Rawalpindi.Pakistan
Published: June 2024

Background: Balance problems and falls are prevalent issues, especially among older adults. Otago exercise is one of the interventions applied to the geriatric population to prevent falls and balance problems, The Action observation therapy with the Otago exercise program can be a more beneficial intervention method to decrease the prevalence of falls and balance issues among older people. Objective: to evaluate the effectiveness of Otago exercise in combination with action observation training (AOT) on balance and quality of life among the elderly. Methods: A randomized clinical trial was conducted on n=54 elderly between 60-80 years and moderate risk of fall Berge balance scale from May 2022 to July 2023. The participants were included in the study after fulfilling the selection criteria. Then the participants were randomly assigned into two AOT plus Otago (n= 27) groups and Otago exercise alone group (n= 27). The static and dynamic balance were assessed with the Berg Balance Scale (BBS), Timed Up and Go (TUG) test, and Functional Reach Test (FRT) respectively. Additionally, quality of life was measured with the SF-36 questionnaire among older adults. The data was collected at baseline, 6th week, and 12th week. Results: Significant improvements (p<0.05) were observed in balance and quality of life as measured by the Berg Balance Scale and SF-36 respectively in both intervention groups but did not reveal any significant difference (p≥0.05) between the groups. Conclusion: the current study showed no additional effects of action Observation training (AOT) with Otago exercises among the elderly. However, the addition of AOT may improve the balance, physical functioning, and ultimately quality of life among the elderly, if incorporated into routine rehabilitation of this population. Clinical trial #: NCT06008665
Quick returns, sleep, sleepiness and stress – An intra-individual field study on objective sleep and diary data
Authors: Öster Kristin , Tucker Philip , Söderström Marie , Dahlgren Anna
Published: June 2024

OBJECTIVES: Quick returns (<11 hours of rest between shifts) have been associated with shortened sleep length and increased sleepiness, but previous efforts have failed to find effects on sleep quality or stress. A shortcoming of most previous research has been the reliance on subjective measures of sleep. The aim of this study was to combine diary and actigraphy data to investigate intra-individual differences in sleep length, sleep quality, sleepiness, and stress during quick returns compared to day-day transitions.

METHODS: Of 225 nurses and assistant nurses who wore actigraphy wristbands and kept a diary of work and sleep for seven days, a subsample of 90 individuals with one observation of both a quick return and a control condition (day-day transition) was extracted. Sleep quality was assessed with actigraphy data on sleep fragmentation and subjective ratings of perceived sleep quality. Stress and sleepiness levels were rated every third hour throughout the day. Shifts were identified from self-reported working hours. Data was analyzed in multilevel models.

RESULTS: Quick returns were associated with 1 hour shorter sleep length [95% confidence interval (CI) -1.23– -0.81], reduced subjective sleep quality (-0.49, 95% CI -0.69– -0.31), increased anxiety at bedtime (-0.38, 95% CI -0.69– -0.08) and increased worktime sleepiness (0.45, 95%CI 0.22– 0.71), compared to day-day transitions. Sleep fragmentation and stress ratings did not differ between conditions.

CONCLUSIONS: The findings of impaired sleep and increased sleepiness highlight the need for caution when scheduling shift combinations with quick returns.
ANALYSIS OF MARITIME BUSINESS MANAGEMENT IN THE PERSPECTIVES OF TECHNOLOGY, POLITICS AND ENVIRONMENT
Authors: Baştuğ Mithat , Yetgin Muhammed Ali
Published: June 2024

Maritime Management is the process of planning, organizing, managing, and controlling business activities in the maritime sector. This activity includes the operating procedures of ships, all kinds of marine vessels, ports, and all other marine facilities. Communication in maritime business is critical for the continuity and security of maritime operations. Using communication systems, maritime companies can communicate between ships, ports, and other maritime facilities. This communication is essential to manage the navigation of ships, coordinate port operations, and ensure maritime safety. Communication and communication networks in the marine sector are advancing rapidly with technological developments. This situation also carries the growth in cyber security in the marine business. Cyber security in maritime trade is critical to protecting the critical infrastructure of the marine industry. It includes the information technology systems and networks of maritime vessels, ports, and other maritime facilities. This study examines the effects of political, technological, and environmental factors on cyber technology innovations and developments in communication & communication networks in maritime activities. MSC, COSCO, and A.P. are examples. In this study, in which MOLLER-MAERSK companies were selected, the Content Analysis Method was used as the research method, and the findings were analyzed qualitatively by applying the PESTEL method. As a result of the research findings, it has been revealed that despite technological developments, the sector may face cyber threats, and investment planning should be continued more effectively. Conducting this study in a narrow context across different sectors or countries in maritime enterprises will strengthen the literature.
TÜRK BANKACILIK SEKTÖRÜNDE KREDİ BÜYÜMESİ VE SORUNLU KREDİ GELİŞİMİNİN ANALİZİ: 2012-2022 DÖNEMİ
Authors: Yuca Hamdullah
Published: June 2024

Son yıllarda çok sayıda yeni ürün çıkmasına rağmen kredi verme işlemi halen bankaların en önemli fonksiyonu olma özelliğini korumaktadır. Krediler banka finansal tablolarında ağırlıklı bir yere sahip olduğundan aktif kalitesinin bozulmaması için verilen kredilerin sorunsuz şekilde geri dönüşünün sağlanması oldukça önemlidir. Aksi takdirde oluşacak sorunlu kredi rakamı banka açısından önemli riskleri ortaya çıkartacaktır. Çalışmamızda, Türk bankacılık sektörü tarafından verilen toplam nakdi krediler ile bu krediler karşılığında oluşan sorunlu kredilerin gelişim trendinin tespiti ve karşılaştırılması amacıyla; 2012-2022 arası dönem oran analizi yöntemi ile analize konu edilmiştir. Ülkemizde 2018 yılında kur kaynaklı yaşanan finansal kriz ile 2020 yılında başlayan covid-19 pandemisinin de söz konusu kalemlere olan etkisi çalışma kapsamında incelenmiştir. 2018 yılında yaşanan kur krizi sonucunda 2018 ve 2019 yılsonlarında kredi büyümesi yavaşlarken bunun karşılığında sektörün takipteki krediler oranı yükselmiş ve 2019 yılsonunda maksimum orana çıkmıştır. Pandemi sürecinde ise kredi büyümesi devam ederken takipteki krediler oranının düşüş eğilimine girdiği tespit edilmiştir. Ayrıca, hem 2018 kur krizinde hem de pandemi döneminde kredi büyümesi ve takipteki krediler oranı bakımından kamu bankalarının diğer banka gruplarına göre daha olumlu bir performans gösterdikleri görülmüştür.
PENGETAHUAN DAN SIKAP IBU DALAM PEMBERIAN MP-ASI PADA ANAK USIA 6-24 BULAN DI PUSKESMAS SIMPANG KAWAT KOTA JAMBI
Authors: Yusnilawati Yusnilawati , Yusmahendra Devi
Published: June 2024

Status gizi menjadi bagian yang penting dalam mempertahankan dan meningkatkan derajat kesehatan anak. Dengan status gizi yang baik dapat membantu proses pertumbuhan dan perkembangan anak untuk mencapai kematangan yang optimal. MP-ASI adalah Asupan nutrisi berupa makanan tambahan selain ASI yang diberikan pada anak berusia diatas 6 bulan keatas. Cara pemberian MP-ASI tergantung dari informasi yang diperoleh oleh ibu. Pengetahuan dan sikap ibu menentukan keputusan untuk pemberian MP-ASI yang tepat. Pemberian MP-ASI yang tidak tepat waktu dapat mengakibatkan hal-hal yang merugikan. Dampak yang terjadi apabila pemberian tersebut tidak sesuai dengan kebutuhan gizi tubuh anak terhadap tumbuh kembangnya akan mengakibatkan berbagai resiko pada anak diantaranya mengalami pertumbuhan yang lambat, asupan zat gizi yang kurang sehingga mengakibatkan anak beresiko mengalami anemia. Tujuan penelitian ini untuk mengetahui bagaimana gambaran pengetahuan dan sikap ibu dalam pemberian MP-ASI pada anak usia 6 – 24 bulan di Puskesmas Simpang Kawat Kota Jambi.Penelitian ini menggunakan metoda kuantitatif dengan desain penelitian deskriptif, yaitu suatu metoda penelitian yang dilakukan dengan tujuan utama untuk membuat gambaran tentang suatu keadaan atau populasi. Pendekatan yang digunakan dengan cara cross sectional. Populasi dalam penelitian ini berjumlah 311 orang. Sampel dalam penelitian ini berjumlah 81 responden. Dengan menggunakan teknik accidental sampling. Instrumen yang digunakan dalam penelitian ini yaitu quisioner. Analisa data univariat menggunakan distribusi frekuensi  gambaran pengetahuan dan sikap ibu dalam pemberian MP-ASI pada anak usia 6 – 24 bulan.Dari hasil penelitian didapatkan sebagian besar responden berusia 26-35 (dewasa awal) sebanyak 47 responden (58%). Pendidikan terakhir responden sebagian besar SMA sebanyak 44 orang (54,3%). Sebanyak 65 responden (80,2%) bekerja sebagai IRT dan 48 responden (59,3%) merupakan data anak pertama. Dan untuk hasil penelitian pengetahuan, mayoritas pengetahuan ibu baik yaitu sebanyak 63 responden (77,8%) dan mayoritas sikap ibu cukup baik sebanyak 63 responden (77,8%).Kesimpulan dalam penelitian ini menunjukan gambaran pengetahuan ibu baik yaitu sebanyak 63 responden (77,8%) dan mayoritas sikap ibu cukup baik sebanyak 63 responden (77,8%).
EDUKASI PEMBATASAN CAIRAN PADA PASIEN DENGAN PENYAKIT GINJAL KRONIK YANG MENJALANI HEMODIALISA DI RS DR. BRATANATA JAMBI
Authors: Andini Febri Tri , Anjeli Anjeli
Published: June 2024

Chronic Kidney Disease (CKD) is a progressive and irreversible decline in kidney function where decreased kidney function causes the kidneys to be unable to maintain a balance of metabolism, fluids and electrolytes which can result in uremia. Therefore respondents who undergo hemodialysis need to limit fluid intake. Without limiting fluid intake, fluid will accumulate and cause edema around the body. To inform people of knowledge of chronic kidney disease patients who have hemodialysis by providing education on fluid boundary. The study use descriptive method, the sample on this study to screen 1 person a client with CKD that had hemodialysis, by using questionnaire’s index before and after an educational measure and a media leaflet. Thee result obtained by researcher in the hemodialysis client CKD show there are differences , which before providing client only was able to answer 4 of the 10 of  questionnaires, after providing the manager of fluid the client was able to answer 8 of 10 questions. Beside that the client also able to make an essay to re explain by researcher. The conclusion is by giving education  on fluid restriction to CKD client has very much a bearing on knowing of the precipitation of client having hemodialysis.
HUBUNGAN POLA ASUH ORANG TUA DENGAN SELF ESTEEM REMAJA DI SMAN 4 KOTA JAMBI
Authors: Mekeama Luri , Oktarina Yosi , Sari Yulia Indah Permata , Sari Putri Irwanti , Martawinarti Rts Netisa , Maghfirawati Okti
Published: June 2024

Pola asuh yang diberikan orang tua menjadi faktor penting bagi remaja untuk pembentukan self-esteem dalam mengembangkan potensi yang dimilikinya. Dampak Self estem akan tercermin dari sikap, perilaku, kepribadian dan cara remaja dalam membuat keputusan untuk masa depannya.Tujuan penelitian ini untuk mengetahui Hubungan Pola Asuh Orang Tua dengan Self Esteem Remaja di SMAN 4 Kota Jambi. Metode penelitian ini kuantitatif dengan pendekatan cross-sectional. Sampel penelitian ini adalah siswa kelas X dan XI SMAN 4 Kota Jambi sebanyak 99 orang. Teknik pengambilan sampel menggunakan propability random sampling. Intrumen yang digunakan berupa kuisioner pola asuh  dan self-esteem.  Intrumen pola asuh berisikan pola asuh otoriter, pola asuh permisif, dan pola asuh demokratis. Instrumen self-estem menggunakan Rosenberg’s Self Esteem Scale (RSES). Hasil penelitian menunjukkan dari 99 responden sebagian besar mendapatkan pola asuh otoriter sebanyak 65 orang (65,7%) dan pola asuh dengan frekuensi paling rendah adalah pola asuh permisif sebanyak 2 orang (2,0%). Data diuji menggunakan Spearmans rho dengan nilai p-value 0,002. Nilai korelasi Spearman sebesar 0,311 menunjukkan korelasi positif dengan kekuatan korelasi cukup sehingga bisa disimpulkan terdapat hubungan yang signifikan antara pola asuh orang tua dengan self esteem pada Remaja di SMAN 4 Kota Jambi. penerapan pola asuh yang baik dan tepat diharapkan dapat membantu remaja dalam melewati fase perkembangannya sehingga akan membentuk remaja yang memiliki self-esteem yang tinggi.
African Swine Fever Disease Risk Assessment Using Multi-Criteria Decision Analysis: An Input for GIS-Based Risk Mapping
Authors: Bulawit Grace Dipiao , Palaoag Thelma Domingo , Bulawit Jr Benjamin Enriquez
Published: June 2024

African Swine Fever (ASF) has severely impacted the Philippines' pig industry, caused socioeconomic losses, and affected income, supply, demand, and prices. There needs to be more understanding regarding the risk factors associated with ASF introduction into pig farms and the level of risk each farm faces. Accordingly, using a quantitative research method, this study used the Analytical Hierarchy Process (AHP) to categorize ASF risk factors into biosecurity and spatial risk factors. Twenty-five (25) respondents were selected using a purposive participatory approach to rank the importance level of each risk factor as per the two risk factor categories. The AHP analysis revealed that the highest-risk biosecurity factors are the "absence of protocols for changing clothes, separate entry and exit, disinfection of objects, restriction on food introduction, and external individuals accessing the farms." In the spatial risk factor ranking, the analysis showed that the “distance to pig farms utilizing swill feeding" was the highest risk factor, indicating its significant contribution to the overall risk of farms. A farm risk assessment was also performed based on the AHP results and the level of compliance of each farm on the different risk factors. The study was conducted on selected pig farms in the municipality of Echague by evaluating their compliance with the identified risk factors and determining the level of risk they posed. The risk assessment results for African swine fever on farms reveal a concerning scenario. With 70% of farms assessed as "high risk" in terms of biosecurity and 74% classified as "medium risk" in spatial vulnerability, the overall assessment indicates that 84% of farms are at a moderate risk level. This suggests a widespread need for improved biosecurity practices and disease monitoring to prevent the introduction and spread of African swine fever. The 16% of farms deemed "high risk" pose a significant threat, requiring immediate action to prevent disease outbreaks. These findings emphasize the importance of implementing stringent biosecurity measures, enhancing surveillance efforts, and raising awareness to safeguard the pig industry from the devastating impacts of the ASF disease, like the rising cost of meat and pork-based commodities. Furthermore, these show the importance of considering the biosecurity and spatial risk factors for a more comprehensive risk assessment. The AHP ranking and risk assessment process is crucial in developing a GIS-based risk mapping and surveillance system. This offers government authorities a valuable decision-making tool to proactively prevent the introduction of African swine fever (ASF) and mitigate the necessity for widespread culling of pigs. By implementing targeted interventions informed by the study results, the government can work towards safeguarding the pig industry.
E-commerce Adoption and Sustainability with SMEs – An Advanced Bibliometric Analysis
Authors: Kumar Suraj , Sudhakar K Francis
Published: June 2024

Integrating technology, innovation, and entrepreneurship has been pivotal in reducing business costs and fostering global connections between producers and consumers. E-commerce has become a fundamental part of the modern business landscape, particularly for small and medium-sized enterprises (SMEs). With its unique and innovative approach of conducting a bibliometric analysis of the existing research on e-commerce adoption and sustainability within small and medium-scale industries, this study aims to fill a gap in the current literature. The analysis focuses on identifying critical success factors, assessing the relationship between SME characteristics and e-commerce adoption, and examining the organisational implications of e-commerce in SMEs. The findings of this study, presented with all the scientific data, offer insights that can shape the future of SMEs in e-commerce adoption. Bibliographic data was collected through the Web of Science and Scopus databases between 1999 and May 2024. Both databases were combined using the R-studio application, and Biblioshiny was used for the bibliometric analysis. The bibliometric study of data from 1187 related scientific publications was performed using a structured search algorithm in Scopus and Web of Science databases. Research on adoption factors in specific industries has not been extensively explored, making it a promising area for further research. The implications of this study present a bibliometric analysis of the dimensions of SMEs' e-commerce adoption strategy and propose future research directions. Findings highlight the main authors, publications, and productive countries that can be used for research collaborations. This analysis of e-commerce adoption concludes with some limitations, suggestions, and a research agenda for future research.
Pneumonia Detection through Deep Learning: A Comparative Exploration of Classification and Segmentation Strategies
Authors: Mishra Vishnu Kumar , Mishra Megha , Tamrakar Ashish Kumar , Srikanth Thurimella , Kumar Talaisila Ram , Kumar Anoop
Published: June 2024

The Convolution Neural Network (CNN) algorithm is one of the most widely used methods for identifying and categorizing lung cancer. This paper covers the most suitable architecture and CNN algorithms for lung cancer and pneumonia deduction and classification. The main contributions to the diagnosis and classification of lung cancer with four steps are Nonlinear transfer learning framework (NLTF), Hierarchical Feature Mapping (HFM), Lifelong Partial Dissection (LPD), and Deep Lifelong Convolutional Neural Network (DLCNN). The application of non-local total fuzzy (NLTF) filtering removes various categories of noise after lung CT imageries and enhances cancer areas. The application of Hybrid Fuzzy Morphology (HFM) constructed segmentation to minimize the region of interest (ROI) for cancer using morphology opening and closing processes. Extraction of traits unique to each disease employing Lung Parenchyma Division (LPD) and extraction of deep seismic features using the Geometric Optimal Algorithm (GOA). Training and testing the proposed Deep Learning Convolutional Neural Network (DLCNN) model using the extracted features to classify benign, malignant lung cancers and Recent advancements in deep learning methods have shown accurate results in the investigation and diagnosis of medical image data, including the detection of pneumonia.
Impact of Agronomic Zinc Biofortification on Yield Attributes, Yield and Micronutrient Uptake of Rice (Oryza sativa L.) in Southern Odisha
Authors: Pal Swarnajit , Shankar Tanmoy , Majumder Sitabhra , Adhikary Rahul , Pal Subhajit
Published: June 2024

Cereal crops are low in micronutrients primarily due to Iron and Zinc deficiency in soil. Iron, being the cofactor of various enzymes, performs basic functions in the human body, while its absence causes anaemia. Symptoms of Zn-deficiency appearing in the human body includes retarded growth, hypogonadism, immune dysfunction and cognitive impairment. In rice plants, their deficiency results in stunted growth and poor plant development, leading to yield reduction. Consumption of milled rice containing very low levels of iron and zinc, is one of the principal reasons for widespread malnutrition among rice consumers. Health of millions of people around the world, including India, is directly or indirectly affected due to ‘Hidden Hunger’ or ‘Malnutrition’ of iron and zinc. The current study was conducted in the summer season of 2022 at the Post Graduate Research Farm, M.S. Swaminathan School of Agriculture, comprising 8 treatments of zinc (foliar and basal) applications on rice. Influence of these treatments on grain and straw yield of rice was ascertained by measuring Pearson correlation coefficient and different multivariate tests viz., Multiple Regression, Multilayer Perceptron Neural Analysis (MPN) and Principal Component Analysis (PCA), which indicated that grain zinc and iron content, was highly influenced by the zinc application. Analysis of generated data indicated that basal application of 5 kg Zn ha−1 along with foliar application of 0.25% Zn at maximum tillering and at booting stage produced the highest grain yield (6.80 t ha-1) and superior outcomes on different yield attributes, nutrient uptake and straw yield of hybrid rice as compared to other treatments, (MARVEL 1011) in the soil of Southern Odisha.
Security and Privacy for Smart Transportation Management using Big Data Analytics
Authors: R. Govindasamy , N. Shanmugapriya , R. Gopi
Published: June 2024

Security and privacy are vital aspects of smart transportation management with big data analytics because they assure the security of sensitive information, prevent unwanted access to essential systems, and retain public trust in the safety and dependability of the transportation infrastructure. Protecting data from cyber threats, ensuring secure communication and data transmission, protecting passengers' personal information and addressing privacy concerns related to data collection and usage to maintain transparency and accountability in data handling practices are all obstacles to smart transportation management using big data analytics. This paper proposes a Secure Data Encryption Control based Big Data Framework (SDEC-BDF) to strike a middle ground between data analytics and privacy protection, establishing the way for more private and secure transportation systems that benefit everyone involved. The intention of this approach is to offer strong security while simultaneously safeguarding people's privacy. The method has many potential uses in the Intelligent transportation sector (ITS), including traffic control, passenger security, fleet management, preventative maintenance, and road network design. It ensures privacy and security while facilitating effective data analysis. Furthermore, it protects the public confidence in the security and dependability of the transportation system, protects sensitive passenger data, and stops hackers from breaking into vital systems. The simulation analysis is conducted on the assumption that the system can maximize its security, privacy, and efficiency to create a more trustworthy transportation network.
Detection of Pleuro Pulmonary Blastoma using Machine Learning Models
Authors: Bandi Raswitha , Santhisri T.
Published: June 2024

Pleura Pulmonary Blastoma (PPB) is a type of lung cancer seen in children. PPB needs to be detected earlier when treating children. The mortality rate of PPB is higher if left untreated. It can be detected from CT images through various machine learning and classification algorithms. The earlier detection of PPB can save children's lives, for which several research works have proposed several machine learning models. Several researchers adopt traditional classification algorithms like random forest and decision tree algorithms for detecting PPB. However, these techniques provided lesser accuracy and were difficult for earlier detections. This paper considered several machine learning algorithms like SVM, LR and MP and experimented with CT images and DICER-1 data to understand their betterness and overcome such issues. The architecture of the following algorithms is discussed in detail, and the results are compared. Through this, the ideal machine learning algorithm for detecting PPB is found. All the algorithms are implemented with the Python software, and the performance metrics of the respective algorithms are recorded. The results show that the SVM algorithm provides better accuracy (96%) for the DICER-1 dataset, which is higher than CT images (95.60%).
A Cross-Sectional Study to Analyze the Physical and Cognitive Fatigue Due to Sleep Disruption Among Shift Workers in Tamilnadu
Authors: Swaminathan Vimala Rani , Rajasundaram Archana , Santhoshkumar Sasikumar
Published: June 2024

The objective of this research is to analyse the extent and manner of the kind of fatigue among shift workers in Tamil Nadu, India. As for shift workers, they often have disturbed night’s sleep. Shift work is distinguished by its irregular and unique work hours, unlike the regular day-time Schedule. It is combined with circadian alteration, which affects most of the bodily activities. They have diverse sorts of health problems, such as physical and mental fatigue. A Cross-sectional Analysis was done among airport workers. 200 participants were randomly selected for the study aged 35-45 years and conducted for a duration of 6 months in the Airport, Tamilnadu. Sleep quality and cognition were assessed using a validated questionnaire. The muscle fatigue was evaluated using Mosso’s ergograph. R-statistical Software (version 4.0.2) was used for Data Analysis. The Primary analyses of data set’s normality were done by Kolmogorov - Smirnov Z test. Significant negative correlation exists between global PSQI score and both cognition score (r= -0.315, P<0.001) and Work done by Mosso (r= -0.405, P<0.001) There is also negative correlation exists between work done and the cognition score (r= - 0.565, P<0.001) which is statistically significant. Decreased Sleep Quality, more fatigue and lowering of cognition levels not only affects physical health but also the quality of life. It has been noted that sleep disturbance leads to physical and mental exhaustion among Tamil Nadu shift workers. The outcomes underscore the need for targeted interventions to improve sleep-related behaviours as well as the treatment of fatigue in this population. Reducing the disturbances of shift work effects on produce, growth as well as health may be authorized by way of implementing organized work shifts and also promoting sleep promotion.
Securing the Data Using an Efficient Machine Learning Technique
Authors: Jain Pinkal , Thada Vikas
Published: June 2024

More accessible data and the rise of advanced data analysis contribute to using complex models in decision-making across various fields. Nevertheless, protecting people’s privacy is vital. Medical predictions often employ decision trees due to their simplicity; however, they may also be a source of privacy violations. We will apply differential privacy to this end, a mathematical framework that adds random values to the data to provide secure confidentiality while maintaining accuracy. Our novel method Dual Noise Integrated Privacy Preservation (DNIPP) focuses on building decision forests to achieve privacy. DNIPP provides more protection against breaches in deep sections of the tree, thereby reducing noise in final predictions. We combine multiple trees into one forest using a method that considers each tree’s accuracy. Furthermore, we expedite this procedure by employing an iterative approach. Experiments demonstrate that DNIPP outperforms other approaches on real datasets. This means that DNIPP offers a promising approach to reconciling accuracy and privacy during sensitive tasks. In DNIPP, the strategic allocation of privacy budgets provides a beneficial compromise between privacy and utility. DNIPP protects privacy by prioritizing privacy concerns at lower, more vulnerable nodes, resulting in accurate and private decision forests. Furthermore, the selective aggregation technique guarantees the privacy of a forest by combining multiple data points. DNIPP provides a robust structure for decision-making in delicate situations, ensuring the model's effectiveness while safeguarding personal privacy.
Evaluation of Pulmonary Status of Post-Tuberculosis Patients with Spirometry and Chest X-Ray
Authors: Paritala Akhil , Lakshmanan Muthukumaran , Narasimhan Meenakshi , Rathinam Sridhar
Published: June 2024

In 2022, 7.5 million new cases of tuberculosis were reported worldwide. Mycobacterium tuberculosis results in tuberculosis, an infectious disease mostly affecting the lungs. However, many completely treated post-tubercular patients experience persistent changes in lung anatomy (bronchial and parenchymal structure), Increasing their risk of lung complications and early death. These changes affect the airway's size, leading to higher resistance and decreased airflow. Our study aimed to assess the overall clinical status and lung function of treated post tuberculosis patients using spirometry. The study constituted patients over the age of 18 who presented to the Outpatient department of the Pulmonary Medicine Department, Chettinad Hospital and research institute, Kelambakkam, after receiving complete treatment and being certified cured. Convenience sampling technique was used, 87 patients participated in this trial. The Institutional Ethical Committee approved the study, which lasted 18 months. A proforma was used to collect a complete socio-demographic history and clinical history, particularly in terms of pulmonary symptomatology, and information about previous anti-tb treatment. Each of these patients had chest radiography, smear microscopy, and lung function testing. Mean age was 44.1± 15.2 years, mean BMI was 22.27 ± 3.66 kg/m2. There were 66.2% men and 33.8% females. 42% employed and 52% literate. In the current study, 41(53.25%) of the individuals reported dyspnea and 22(28.57%) had dry cough, cough with expectoration 12(15.58%), Fever 8(10.4%), Haemoptysis 7(9%), chest pain 2(2.6%). Following Post tuberculosis treatment, 38(44%) had normal chest radiographs, 31(35.6%) of the patients had fibrosis/Fibrotic strand, 8(9.1%) had consolidation, 5(5.7%) had ectatic changes, 3(3.4%) had fibrocavity, 1(1%) had calcification and cicatricial collapse. In the current study, we found that 31(40.25%) had normal spirometry followed by 23(29.87%) had mixed pattern and 12(15.6%) had restrictive pattern findings, 11(14.28%) had obstructive pattern findings. In spite of appropriate suggestions, the majority of post-tb pulmonary impairment individuals suffer in quiet or undergo poor medical care. As a result, comprehensive recommendations for patient follow-up following tuberculosis treatment are required in order to monitor lung function and provide appropriate care to improve quality of life.
Antidiabetic Potency of Flavonoids Using a Systematic Computer-Aided Drug Design Platform
Authors: Rath Deepankar , Pattnaik Gurudutta , Kar Biswakanth , Padhy Gopal Krishna , Patro Chandrasekhar , Hukta Pallishree B
Published: June 2024

Diabetic mellitus (DM) is a chronic metabolic disorder, with type 2 diabetes (T2DM) being the most prevalent type globally. Despite the availability of several target-specific drugs, the prevalence rate has remained uncontrollable, prompting a systematic exploration of plant secondary metabolites or phytochemicals for mainstream use. Among all natural resources, citrus fruits like oranges, lemons, grapefruits and limes are rich sources of flavonoids and get more attention due to their higher antioxidant, anti-inflammatory and immunomodulatory effects. Additionally, researchers have employed various strategies to locate the most bioactive and drug-able flavonoids from these herbal extracts for use in managing diabetes. Therefore, the present study selected nine citrus-fruit-derived flavonoids and tested their antidiabetic potency using four target enzymes: α-amylase, AKT Serine/Threonine Kinase 1 (AKT1), dipeptidyl peptidase-4 (DPP-IV), and glucose transporter 1 (GLU1) through molecular docking studies.  In addition, we have predicted the physiochemical profile, toxicity, bioavailability, lead-likeness, drug-likeness, and lethal dose of flavonoids, along with five standard antidiabetic drugs, to select the most potential candidates. We used AutoDock 4.2 for the docking study, BIOVID-Discovery Studio for the protein-ligand interaction study, SwissADME, ProTox 3.0 and Molsot tools to predict the drug-likeness profile. Individual and average docking scores indicated that naringin (-11.2 and -10.40 kcal/mol) was the most potent flavonoid, and glimepiride (-11.1 and -10.1 kcal/mol) against AKT1 had the most potential among the five antidiabetic drugs. Naringin had non-toxic profiles, a positive drug-likeness score, and ideal physicochemical profiles, which suggested that it might be the best candidate for further testing. To sum up, the computer-aided drug design platform is an important part of the current drug discovery module to accelerate phyto-based drug discovery within limited time and resources.
Secondary Metabolite Fingerprinting and Antioxidant Potency of Eleusine indica: An Integrated Chromatography and In silico Investigation
Authors: Sahu Tapan Kumar , Sahoo Nityananda , Pattnaik Gurudutta , Samal Himansu Bhusan , Behera Amulyaratna
Published: June 2024

Natural regimens and constituents serve as the primary sources for drug conservation, and each herbal regimen possesses unique ethnomedicinal and biological properties. Therefore, researchers are currently more interested in exploring the biological activity of existing plant species with the most systematic approach to be used in the specific therapeutics proposed, either crude extracts or bioactive metabolites. The present study also explores the antioxidant potency of ethanolic extracts of Eleusine indica (a weed in an agricultural field) through chemical fingerprinting analyses through high-performance thin-layer chromatography (HPTLC), followed by gas chromatography-mass spectrometry (GCMS) and in silico investigation in a systematic way. Briefly, this investigation aims to observe the presence of secondary metabolites associated with antioxidant activity. After extraction, a fingerprint study was carried out with the mobile phase consisting of ethyl acetate, acetic acid, formic acid, and water in the ratio 10:1.1:1.1:2.3 by volume, where more than eight fluorescent and non-fluorescent bands were found, with the highest density peak area at Rf 0.87 and the lowest at Rf 0.18. As per the GCMS report ethanolic extracts of E. indica are composed of several metabolites. Further, based on the higher Rf value, we have selected seven (EI_1 to EI_7) that constitute molecular docking against three target enzymes: cyclooxygenase-2 (PDB ID: 5F1A), peroxiredoxin-5 (PDB ID: 1HD2), and haemoxygenase 1 (PDB ID: 3CZY) to assess the antioxidant potency. Overall, the results revealed that EI_7 (2,7-dioxatricyclo [4.4. 0.0(3,8)] decane-4,5-diol) showed similar potency with ideal drug-ability profiles similar to ascorbic acid and was considered a lead for further therapeutic use as a complementary agent.
Portraits Historiques in Education: Seeing Greek Mythology Through Renaissance Flemish Paintings
Authors: Stamos Nikolaos Ath.
Published: June 2024

In this research, we deal with the connective way in which art can meet history in terms of methodology and multiliteracies. The historical framework of this study is the Renaissance in Flanders, the Dutch Golden Age, humanism (16th & 17th centuries A.D.), and the influence of Greco-Roman antiquity. Our aim was to determine if students can use Flemish paintings as an educational medium in order to selectively expand their visual and historical knowledge as they interpret portraits historiques (portraits of noble persons in mythological disguise). We examined the students’ observation-interpretation of these paintings and the way they could exhibit the development of visual-historical literacy. Within this study, we followed basic assumptions of Perkins (visual part) and Moniot (historical part). The case study method used here included 12-year-old students of a Greek primary school. Qualitative content analysis was performed on data from student interviews and student text production. Regarding the findings, students’ reading and interpretation of the image seemed to strengthen their visual literacy development, which in turn helped their historical literacy acquisition through a method of observing and comparing information.
Rigorous Mathematical Derivation of Inclination Angle for Single Cut Rotational Osteotomy for Tibia Deformity Correction
Authors: Qatu Mossub , Al-Jamal Malik , Mouzaihem Hassan
Published: June 2024

Background

To rigorously derive easy to use formulae for the inclination angle for single cut rotation osteotomy that can be used for tibia deformity correction.

Method

Three theorems were proven using trigonometric identities and concepts of linear algebra. These were rigorously shown. The three concepts were how to convert deformities in an AP/Lateral plane to an oblique plane deformity with a true angular magnitude of deformity; how to project an angular quantity from one plane to another; and the calculation of the inclination angle for the oblique osteotomy plane. All figures in this article were created by the authors of this paper.

Results

From the formula derived, a statistical t-test was performed that showed no significant difference between the formula derived in this paper and the original Sangeorzan paper charts (p=0.8782).

Conclusions

The formulae described in this article are a method to accurately calculate the inclination angle of the osteotomy for a single cut rotational osteotomy for tibial deformity correction.

Clinical Relevance

The article gives a deeper understanding of fundamental concepts behind deformity correction and provides an easy-to-use mathematical formula to calculate the osteotomy inclination for single cut rotational osteotomies.
The Results of Hook Plate Fixation in Acute Acromioclavicular Joint Dislocation and Distal Clavicle Fractures
Authors: Shaty Wahby
Published: June 2024

Background

Acromioclavicular joint (ACJ) dislocation and distal clavicle fractures are common shoulder injuries. Different methods of fixation are used to treat such injuries, each has its advantages and disadvantages. In this study, we tested fixation using the hook plate. We think that it is technically simple, reliable and more effective in certain surgical situations. However, it is not gaining adequate popularity due to the potential complications of the plate placement including subacromial osteolysis, impingement, rotator cuff injury and others. A second surgery for plate removal is classically indicated to cope with such complications.

Objective

The aim of this study included evaluating the clinical and radiological healing after hook plate fixation in ACJ dislocation and distal clavicle fractures and assessing the incidence and clinical significance of subacromial osteolysis.

Methods

It is a prospective observational study with a total of 96 cases including 64 ACJ dislocations and 32 distal clavicle fractures. Constant-Murley score was used for clinical evaluation. The patients were evaluated regularly with a minimum follow up of 12 months after plate removal.

Results

At the end of the study we found that the results of the hook plate fixation for both groups were good clinically and radiologically. The clinical result score was found to be initially higher among the patients of the ACJ dislocation mainly due to the earlier plate removal in these patients. However, the final score was found to be comparable in both groups. The incidence of the subacromial osteolysis was found to be higher among the patients with clavicle fractures as the plate was retained for a longer time. However we found that subacromial osteolysis did not imply any increased rate of symptoms over the patients who did not show this complication on the X-ray.

Conclusion

Based on these observations, we recommend the hook plate fixation to be added to the armamentarium of the orthopaedic surgeon treating such injuries as it is simple to implement, durable and capable of dealing with difficult situations. The main disadvantage of this method is the need for a second surgery for plate removal.
Pengembangan Media Audio Visual Interaktif Berbasis Kinemaster dalam Pembelajaran IPS pada Peserta Didik Kelas V UPTD SDN 14 Samanggi Kabupaten Maros
Authors: Riniwanti Riniwanti , Nursalam Nursalam , Arifin Jamaluddin
Published: June 2024

Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi media pembelajaran audio visual berbasis Kinemaster untuk mata pelajaran Ilmu Pengetahuan Sosial (IPS) di kelas V SDN 14 Samanggi, dengan fokus pada kelayakan, kepraktisan, dan keefektifan media tersebut. Desain penelitian menggunakan pendekatan research and development (R&D) dengan model ASSURE. Sampel penelitian terdiri dari 20 siswa kelas V. Data dikumpulkan melalui angket validitas, angket respon guru dan siswa, observasi keterlaksanaan, dan tes hasil belajar. Media yang dikembangkan divalidasi oleh dua validator ahli, yang mengevaluasi modul ajar, materi pembelajaran, media audiovisual, dan instrumen angket. Hasil validitas menunjukkan bahwa media memiliki persentase klasikal di atas 95% pada semua komponen yang diuji, menandakan media ini sangat valid untuk digunakan. Respon guru dan siswa menunjukkan kepraktisan yang sangat tinggi dengan persentase masing-masing 100% dan 99,37%, serta hasil observasi keterlaksanaan sebesar 99,25%. Tes hasil belajar menunjukkan bahwa 90% siswa mencapai atau melampaui Kriteria Ketuntasan Minimal (KKM), dengan nilai rata-rata 80. Penelitian ini menyimpulkan bahwa media pembelajaran audio visual berbasis Kinemaster sangat layak, praktis, dan efektif dalam mendukung pembelajaran IPS. Studi lanjutan disarankan untuk mengeksplorasi teknologi pembelajaran yang lebih maju seperti augmented reality (AR) atau virtual reality (VR) untuk meningkatkan pengalaman belajar.
Analisis Minat Wirausaha Mahasiswa Calon Guru: Komparasi Tingkat Semester
Authors: Supiyati Sri , Hayati2 Nila , Halqi Muhammad , Muliadi Agus
Published: June 2024

Studi ini bertujuan untuk mendeskripsikan persepsi mahasiswa calon guru sains tentang minat wirausaha. Studi ini merupakan penelitian ex post facto dengan pendekatan deskriptif eksploratif. Responden penelitian ini terdiri dari 33 mahasiswa pendidikan biologi yang diperoleh dengan teknik convenience sampling. Instrumen penelitian yang digunakan adalah angket tertutup dengan jawaban bergradasi sesuai skala likert yang telah divalidasi ahli (expert) dan dinyatakan valid. Angket disajikan secara online menggunakan media google forms. Analisis data penelitian yang digunakan adalah statistik deskriptif kuantitatif dan statistik inferensial dengan uji-t (independent sample t-test) pada taraf signifikansi 5%. Hasil studi menunjukkan bahwa (1) persepsi mahasiswa calon guru sains tentang minat wirausaha yaitu mahasiswa semester VI memiliki rata-rata skor sebesar 3,06 dengan kategori Tinggi, dan mahasiswa semester VIII memiliki rata-rata skor sebesar 3,28 dengan kategori Sangat Tinggi, (2) tidak ada perbedaan signifikan persepsi mahasiswa semester VI dan VIII tentang minat wirausaha yang dibuktikan dengan nilai signifikansi sebesar 0,219 lebih besar dari 0,05 (>0,05).