bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting teachers’ intent to use inquiry-based learning in the classroom after a professional development
Authors: Harmon Kasey , Ruth Taylor , Reiling Bryan , Conner Nathan W. , Stripling Christopher T.
Published: August 2023

In the United States, there is an increasing need for high school students to enhance their science proficiency. Inquiry-based learning (IBL) can serve as a teaching strategy to increase students’ science proficiency levels, but it is critical that teachers are equipped with the knowledge needed to teach IBL. In this study, we aimed to describe the impact that a professional development (PD) about integrating IBL into curricula has on science and agriscience teachers’ intent to use IBL. The theory of planned behavior, as well as confidence, guided this evaluation. A paper survey was distributed to the PD participants after the in-person part of a prolonged PD. Survey questions were related to respondents’ confidence, attitude, perceived behavioral control, subjective norms, and intent in using the IBL animal science concepts. Findings from this study indicate that teachers developed an increased confidence, possessed positive attitudes, were influenced by subjective norms, and felt that barriers could be controlled. However, attitude was the only significant predictor of intent to integrate the IBL animal science concepts. We recommend pursuing a follow-up with the teachers after implementation of the IBL lessons to gain a better understanding of the practicality of IBL in the classroom.
Cultivating Agricultural Evolution: Revolutionizing Farming Through The Power of AI And Technology
Authors: Rattan Punam
Published: August 2023

Objective: The objective of this study is to explore the current and potential role of Artificial Intelligence (AI) in the agricultural sector. We aim to analyze the adoption and impact of AI solutions in farming, identify challenges, and discuss the prospects for its future integration.

Method: We conducted a comprehensive review of existing literature and ongoing research projects related to AI applications in agriculture. We also examined case studies, technological developments, and AI pioneers in the field.

Results: Our analysis reveals that while AI solutions are being researched and applied in agriculture, there is a gap in widespread industry adoption. Large-scale research projects are underway, and some AI applications are available in the market. However, the development of predictive solutions to address real farming challenges is in the early stages. AI's influence extends across various sectors, contributing to the advancement of technologies such as big data, robotics, and the Internet of Things.

An illustrative example is the styrofoam container device, which utilizes machine learning and computer vision to detect and categorize "safety occurrences." Although not all-encompassing, this technology gathers significant data, such as driver behavior, speed, and surroundings. IFM's system promptly alerts supervisors to safety breaches, enhancing both safety and productivity.

 Conclusion: The future of AI in agriculture hinges on the widespread adoption of AI solutions. The agricultural industry remains underserved in terms of AI integration, and the development of predictive solutions is in its early stages. However, AI's impact across sectors underscores its importance. Pioneers like IFM and IBM's patent statistics demonstrate the expanding scope of AI innovation.
The Creative ‘Flow’ in ‘To-Ji’ Written by Park Kyeng-Ri: The Review about Novel ‘To-Ji’ That We Read through 10 Places Written by Lee Seung-Yun
Authors:   Korean Association for Literacy, Kim Seung-Jong
Published: August 2023

This Paper is a book review about  written by Lee Seung-Yun. After reading this book, readers can watch video materials about places of novel ‘To-Ji’ witch the writer participated. This book is solving the spatial analysis of ‘To-ji’s space, at the same time it deals with narrative strategy, character, theme of ‘To-Ji’. The writer also put interesting episodes about Park Kyeng-Ri and ‘To-ji’ in this book. This book can give academic insight about places of ‘To-ji’ to professional scholars, and can give fundamental information and background knowledge about ‘To-Ji’ to readers who didn’t read it yet. The writer Lee Seung-Yun had a talk with Park Kyeng-Ri when she live. Mr. Lee have developed academic activities and involved public activities. He released important papers about Park Kyeng-Ri and ‘To-Ji’ including doctoral thesis, and provided publicity them to citizens and students. He took parted designing Park Kyeng-Ri literary house, and developing literary contents of ‘To-Ji’. he had much experiences that leads tour which visits ‘To-Ji’ related places. He didn’t act those activities alone, but work with a lot of comrades who study, read, transcribe, and love ‘To-Ji’. You can find those comrades through video material of ‘To-Ji’. With them the writer will study more deeply, and persist the works that widen Park Kyeng-Ri and ‘To-Ji’.
Thinking With Your Own Body: A Book Review of Wonderlust: A History of Walking by Rebecca Solnit
Authors:   Korean Association for Literacy, Choi Bae-eun
Published: August 2023

In order to awaken the spiritual value of walking, conscious of the problem in our society we walk only when there is some material reward, this article reviews Wonderlust: A History of Walking written by Rebecca Solnit. The book is a liberal arts book that describes a vast knowledge of philosophy, literature, culture, space, etc and deep thoughts about walking in a unique style. It is of unrivaled value in that she reflected on the history of mankind by paying attention to walking itself, based on the author’s walking experience. In addition, it is meaningful to argue that walking is a cultural and political phenomenon by insight into the universality and resistance of walking. However, it is a limitation to raise the issue of those who cannot walk only in terms of women’s rights. Humans walk to exist and think while walking, so a society that people do not walk is dangerous. This book will be a good guide to those who take a curious look around and have a desire to read their own minds.
Moral Imagination through Dilemma Narrative of Forgiveness: Centering on Dardenne Brothers’ “Le fils”
Authors:   Korean Association for Literacy, Yang Hyunjin
Published: August 2023

Normally, in many situations, life demands pardon and being forgiven. But, in some situation forgiveness is impossible and is considered as being contrary to justice. Forgiveness is moral dilemma. Many questions why immoral and brutal victimizer should be forgiven, how to forgive and when to forgive etc. follow forgiveness. Arguments in favor of and against forgiveness conflict sharply. There is no one exact meaning of forgiveness. Whenever forgiveness is needed there should be different thinking and action accordingly. The major stem of the way Dardenne Brothers understand problems of forgiveness is the belief in the universal human rationality. So, dutiful feature of forgiveness and impossibility of forgiveness clash more vehemently. Victims are urged by universal rationality to forgive and victimizers’ unlucky environments work as excuses for their wrongdoings and the excuses hider them from seeking forgiveness to lessen the burden of misdeed. Therefore, in Dardenne Brothers’ films, forgiveness is not related with the practical usefulness of mending victims and securing victims’ welfare and the background of forgiveness is not made through immature resonance with and compassion for victimizers. For victims to proceed to forgive, moral anger is needed which enables victims look straightly the injustice and unfairness of affliction and confront objective interpretation of their injury. Moral anger does not aim self-eliminating forgiveness which feeble and forceless victims inevitably are forced to choose but aims forgiveness of humanity companionship and recovery. Dardenne Brothers’ films have challenging dilemma narrative of forgiveness which has well-plotted plausibility, correct unilateral and naïve understanding of forgiveness and renew our understanding of human values and social justice. These features make Dardenne Brothers’ films valuable.
Assessment of the Social Lost of Political Crisis in Nigeria (1960 – 2023)
Authors: Bolaji Ibrahim Olanrewaju Akanbi
Published: August 2023

Politics, since time immemorial has been the major means of administering human society. In the act of social administration, there are bound to be conflict of interests which metamorphose into crises thereby faulting the political process. This study examines the lost of political crises to the Nigerian society from independence till date. In justifying this, the study reviews the system of governance practiced, the electoral process, the political participation and other factors that constitute the Nigeria’s political culture. Structural functionalist theory, as well as the conflict theory was employed in evaluating the study. To ensure meaningful coverage of the study area, six (6) Colleges of Education (C.O.E.) was selected across the six (6) geo-political zones of Nigeria. Thirty (35) respondents were randomly selected among the staff of each of the colleges comprising of both teaching and non-teaching staff amounting to two hundred and ten (210) respondents. Eventually, one hundred and eighty (180) questionnaires were collected and used for the research. Five hypotheses were tested using the ordinal regression and non-parametric correlation (spearman’s rho) to determine the level of relationship between each pairs of the independent and dependent variables using IBM SPSS statistics 20 version software. The result revealed that bad governance was majorly responsible for political crisis which procreate institutional failure, frequency change in policies, political violence, political assassinations, economic downturn, insecurity, unemployment and low self-esteem for most citizens. In conclusion, until the Nigerian constitution re-defined politics as a social service and not social work with drastic reduction of financial attributions to political offices, the scrambling and stiff contest for political positions will continue to generate crises too disastrous for the Nigerian society. Finally, the most expensive loss of political crisis to the Nigerian society is the retardation, stagnation and retrogressiveness of social growth and development.
Role of Biological Science in Social Protection: A Review
Authors: Dar Refaz Ahmad , Rasool Saima , Malla Mushtaq Ahmad , Ahanger Muzaffer Ahmad
Published: August 2023

This review paper examines the role of biological science in social protection, specifically in the enhancement of vulnerable people' health and wellbeing. The paper highlights the significant contributions of biological science in disease prevention and control, nutritional interventions, environmental health, and biotechnology solutions for food security. The review provides specific examples of how advances in biological science have led to the development of vaccines, treatments, and diagnostic tools for infectious diseases, fortified foods and supplements for malnutrition, interventions to reduce exposure to environmental hazards, and crops and livestock that are more resistant to pests and diseases. The paper concludes that biological science plays a critical role in social protection, and its continued development and application will be essential for addressing the complex health and nutrition challenges faced by vulnerable populations.
The Study on the Challenges and Prospect on Marketing Nigeria Made Computer Software: A Case Study of Gombe Metropolis
Authors: Yarma A. A , Kawu S. B , Abdulganiyu J. , Aliyu S.
Published: August 2023

This study examines the challenges and prospects of marketing Made-in-Nigeria software, with a focus on the Gombe State region. It investigates attitudes towards locally produced software, identifies societal problems affecting software marketing, analyzes challenges faced by software development students, explores factors influencing the preference for foreign software, and proposes strategies for promoting Made-in-Gombe software. The research questions address various aspects of software marketing and the behavior of Gombe consumers. The study finds that there are significant challenges in marketing Made-in-Gombe software, including perceived inadequate skills among developers, limited government support, and socioeconomic factors impacting students' software development, poor classroom environments, frequent lecturer transfers, and insufficient learning materials. Locally made software is also perceived as inefficient, and the high cost of hosting websites and deploying software hinders its development. The study's significance lies in aiding multinational and indigenous companies in Nigeria with effective marketing planning, providing insights for academics and marketing consultants, and encouraging further research in promoting Gombe-made products. While the study focuses on Gombe-made software, its findings can be applicable to other locally manufactured products. Recommendations are provided to address the identified challenges and improve the marketing of Made-in-Gombe software.
Impacto de un plan de alimentación sobre el estado nutricional de adolescentes con malnutrición en Tapachula, Chiapas, México
Authors: Montejo López René , Camacho-Wong Thaylin , Morales-Isidoro Angel Gilberto , Quintero-Tamariz Ana Alejandra , Robledo-Villarreal Joel de Jesus , Toledo-Domínguez Sara Itzel
Published: August 2023

En México, los adolescentes de 12 a 19 años, presentan una prevalencia de Sobrepeso de 23.9%, obesidad de 17.2%. En Tapachula, Chiapas, los adolescentes de 12 a 15 años, presentan una prevalencia de bajo peso de 0.9%, Sobrepeso de 20.7% y obesidad de 25.5%. El objetivo del estudio fue evaluar el impacto de un plan de alimentación (menú, tabla de equivalentes y recomendaciones de actividad física) sobre el estado nutricional de adolescentes con malnutrición (desnutrición, sobrepeso y obesidad) en escuelas de Educación Secundaria en Tapachula, Chiapas. Se realizó un estudio Cuasiexperimental con 170 adolescentes, diagnosticados con malnutrición, de entre 12 y 15 años, se elaboró un plan de alimentación personalizado y se realizó la medición de indicadores antropométricos y dietéticos a los 30 días posterior a la intervención. Se observó una disminución en la prevalencia de desnutrición moderada (-0.76%) y sobrepeso (-12%), el 7% de los estudiantes pasó de malnutrición a normopeso, sin embargo la obesidad tuvo un aumento de 5.76%. Se concluye que la asiganación de planes de alimentación puede ser efectiva para la disminución de la prevalencia de malnutrición, sin embargo, es necesario establecer intervenciones multifactoriales en el entorno escolar y evaluar los efectos a largo plazo.
La visión periférica en el tiempo de reacción en niños
Authors: Cordero Espin Kevin Roque , López Arias Silvia Margoth , Camacho Muñoz Emerson Aníbal , Solorzano Becerra Gilda Jessenia , Pino Urquizo Marcia Verónica , Zambrano Iglesias Mario Javier
Published: August 2023

La investigación se centró en analizar el tiempo de reacción de la visión periférica en niños de 8 a 10 años de la Escuela de Fútbol Cantonal de Guano, provincia de Chimborazo. Se aplicaron pruebas de visión periférica y tiempo de reacción, utilizando herramientas como el bastón de Galtón y evaluaciones oftalmológicas para detectar posibles deficiencias visuales. Los niños fueron sometidos a entrenamientos específicos en la cancha, con ejercicios de rastreo y actividades de captura o persecución, durante 120 días y dos horas diarias, con el propósito de potenciar su visión periférica y tiempo de reacción. La metodología empleada combinó aspectos cualitativos y cuantitativos, permitiendo medir el progreso alcanzado mediante la práctica regular y específica. También se evaluaron factores psicológicos y socioeconómicos que podrían influir en los resultados. Los resultados demostraron que una visión periférica óptima mejora la eficiencia de los jugadores en la realización y recepción de pases. En conclusión, la visión periférica es una habilidad fundamental para el éxito en el fútbol y el deporte en general, y puede ser entrenada y mejorada mediante una práctica constante y actividades específicas.
SOSIALISASI PADA KADER KESEHATAN TENTANG SKRINING KESEHATAN MENTAL DI MASA PANDEMI COVID-19
Authors: Sri Yulianti Tunjung , Dwi Ningsih Endang
Published: August 2023

Masa pandemi Covid-19 telah menyebabkan beberapa masalah psikologis seperti kecemasan, ketakutan, gangguan pola tidur dan pola makan, bosan dan stres karena terus menerus berada di rumah terutama bagi anak-anak. Belum lagi informasi-informasi negative tentang Covid-19 yang beredar di masyarakat menambah rasa khawatir dan stress terutama pada kelompok rentan seperti ibu hamil, lansia serta masyarakat yang memiliki riwayat penyakit kronis. Oleh karena itu diperlukan deteksi awal sebelum masalah tersebut terjadi, maka diperlukan partisipasi kader kesehatan dalam menangani hal tersebut.  Tujuan  dari program pengabdian masyarakat ini adalah untuk meningkatkan  pengetahuan kader kesehatan tentang kesehatan mental  dan mampu melakukan skrining kesehatan mental untuk mencegah gangguan mental pada masyarakat. Kegiatan pengabdian ini dilaksanakan di Desa Gedangan Grogol Sukoharjo. Hasil dari kegiatan ini adalah terdapat peningkatan pemahaman kader tentang kesehatan mental dan metode skrining SRQ (Self Reporting Questionnaire).
 
Kata kunci : penyuluhan, skrining kesehatan mental
 
The Covid-19 pandemic has caused several psychological problems such as anxiety, fear, disturbed sleep and eating patterns, boredom and stress due to constantly being at home, especially for children. Not to mention the negative information about Covid-19 circulating in the community adds to the feeling of worry and stress, especially for vulnerable groups such as pregnant women, the elderly and people who have a history of chronic diseases. Therefore, early detection is needed before the problem occurs, so the participation of health cadres is needed in dealing with this. The purpose of this community service program is to increase the knowledge of health cadres about mental health and be able to carry out mental health screening to prevent mental disorders in the community. This service activity was carried out in Gedangan Grogol Village, Sukoharjo. The result of this activity is that there is an increase in the understanding of cadres about mental health and the SRQ (Self Reporting Questionnaire) screening method.
 
Keywords: mental health screening, counseling
PENYULUHAN KESEHATAN TENTANG TEKNIK PEMBALUTAN
Authors: Warsini Warsini , Aminingsih Sri
Published: August 2023

ABSTRAK. Musibah dapat menimpa setiap manusia kapan saja dan dimana saja tanpa diduga. Kecelakaan dapat terjadi di mana-mana, baik di rumah, di perjalanan, di sekolah, di tempat kerja dan tempat lainnya. Jenis kecelakaan yang dapat menimpapun bisa bermacam- macam, mulai dari kecelakaan ringan sampai dengan kecelakaan berat yang dapat berakibat fatal, mengalami cidera baik ringan maupun berat. Untuk itu perlu penting bagi siswa untuk diberikan pengetahuan tentang Pertolongan Pertama Pada Kecelakaan (P3K). Salah satu pengetahuan yang dapat diajarkan untuk memberikan pertolongan pertama pada saat terjadi kecelakaan adalah pengetahuan tentang teknik pembalutan yang dilakukan melalui pemberian penyuluhan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk membekali para siswa dalam memberikan pertolongan pertama pada kecelakaan melalui penyuluhan kesehatan dengan metode ceramah, demonstrasi dan tanya jawab. Hasil yang diperoleh yaitu adanya peningkatan pengetahuan dan pemahaman para siswa tentang pembalutan dari kategori mayoritas sedang  menjadi kategori tinggi.
Kata kunci : pembalutan, pengetahuan, penyuluhan
EDUKASI DAN SKRINING KANKER LEHER RAHIM
Authors: Arifah Siti , Nur Rohmah Fayakun
Published: August 2023

Kasus kanker leher rahim di DIY menempati urutan kedua setelah kanker payudara yang terjadi pada perempuan, 80% kasus kanker ditemukan dalam kondisi stadium lanjut. Perlu adanya edukasi dan skrining yang dilakukan sebagai upaya promotif dan preventif dalam penanggulangan kasus kanker leher rahim. Metode pelaksanaan kegiatan diawali dengan konsolidasi dengan mitra, edukasi, pemeriksaan Inspeksi Visual Asetat (IVA) dan koordinasi dengan puskesmas mengenai hasil. Hasil dari kegiatan terdapat peningkatan pengetahuan peserta setelah diberikan edukasi. Dari 50 peserta yang mengikuti edukasi, 30 diantaranya melakukan pemeriksaan IVA dengan hasil seluruhnya tidak ada tanda keganasan. Edukasi tentang skrining kanker leher rahim akan meningkatkan pengetahuan, yang dapat mempengaruhi sikap serta perilaku perempuan untuk melakukan pemeriksaan IVA.
SKRINING KESEHATAN PADA ANAK USIA SEKOLAH
Authors: Warsini Warsini , Aminingsih Sri , Sri Yulianti Tunjung
Published: August 2023

ABSTRAK. Anak yang sehat akan mendukung proses belajar mengajar. Skrining kesehatan sangat diperlukan untuk menjaga kesehatan anak. Anak memiliki masalah kesehatan yang kompleks antara lain masalah pada kesehatan mulut yang masih didapatkan adanya caries dentis, gigi berlubang dan adanya gigi yang tumbuh secara tidak beraturan serta masalah pada kulit dan kuku seperti dermatitis dan kuku yang kotor. Karies gigi yang tidak segera dibersihkan dan ditambal akan menjalar ke lapisan di bawahnya hingga gigi berlubang dan sampai ke pulpa yang berisi pembuluh saraf, pembuluh darah sehingga menimbulkan rasa sakit. Kebersihan kulit dan kuku yang tidak terjaga juga dapat menimbulkan masalah kesehatan sehingga akan mempengaruhi proses belajar mengajar di sekolah. Pengabdian kepada masyarakat ini bertujuan untuk mengetahui adanya gangguan pada gigi dan mulut serta kulit dan kuku pada anak usia sekolah di wilayah kerja Puskesmas Bulu. Strategi yang dapat dilakukan untuk memantau kesehatan anak usia sekolah adalah melalui skrining kesehatan. Hasil yang diperoleh yaitu terdapat 18,13% anak yang mengalami karies gigi, 7,44% anak mengalami gigi berlubang, sebanyak 3,45% anak yang mengalami gigi tidak beraturan. 0,12% anak mengalami dermatitis serta 3,77% anak dengan kuku kotor.

Kata kunci : gigi, kesehatan, kuku, kulit, mulut, skrining

 

ABSTRACT. Healthy children will support the teaching and learning process. Health screening is very necessary to maintain the health of children. Children have complex health problems, including problems with oral health which are still found to have dental caries, cavities and irregularly growing teeth as well as skin and nail problems such as dermatitis and dirty nails. If dental caries is not cleaned and filled immediately, it will spread to the layers beneath it to the cavities and reach the pulp, which contains nerves and blood vessels, causing pain. Cleanliness of the skin and nails that are not maintained can also cause health problems that will affect the teaching and learning process in schools. This community service aims to find out if there are disorders of the teeth and mouth as well as skin and nails in school-age children in the working area of ??the Bulu Health Center. The strategy that can be implemented to monitor the health of school-age children is through health screening. The results obtained were that 18.13% of children had dental caries, 7.44% of children had cavities, and 3.45% of children had irregular teeth. 0.12% of children had dermatitis and 3.77% of children with dirty nails.

Keywords: health, mouth, nails, screening, skin, teeth
Kebijakan Pemungutan Pajak Rumah Kos Ditinjau dari Perda Karawang Nomor 15 Tahun 2018 Tentang Perubahan Kedua Atas Perda Karawang Nomor 12 Tahun 2011 Tentang Pajak Daerah
Authors: Ali Abdulah  , Anwar Hidayat  , Muhamad Abas
Published: August 2023

Pemerintah daerah harus memenuhi kebutuhan keuangan untuk otonomi daerah, yang didasarkan pada pendapatan asli daerah yang dikumpulkan sesuai dengan peraturan. Bapenda sedang mengupayakan penerapan bisnis rumah kos, dengan menurunkan tarif pajak rumah kos menjadi 5%, sesuai dengan Perda Nomor 15 Tahun 2018 dan Perda Nomor 12 Tahun 2011 tentang pajak daerah. Tentu saja, hal ini menimbulkan beberapa permasalahan. Pertama, bagaimana implementasi kebijakan pemungutan pajak hotel untuk rumah kos di Kabupaten Karawang? Kedua, kendala apa saja yang menghambat rumah kos di Kabupaten Karawang dalam mengimplementasikan kebijakan pemungutan pajak hotel? Penelitian ini bertujuan untuk mempelajari satu atau beberapa fenomena hukum tertentu dengan cara menganalisis dan mengutamakan bahan hukum sekunder seperti buku-buku, artikel, makalah, kitab undang-undang hukum, dan peraturan perundang-undangan. Metode penelitian kualitatif dengan menggunakan pendekatan yuridis normatif. Mekanisme pemungutan pajak rumah kos, sosialisasi, pendaftaran, pendataan, penetapan, pembayaran, dan penagihan merupakan hasil penelitiannya. Pemerintah perlu melakukan survei langsung, pemerintah belum banyak melakukan sosialisasi, dan sumber daya yang kurang. Pemilik rumah kos juga enggan didata. Jumlah pegawai tidak memadai untuk mengelola seluruh pajak rumah kos, dan penegakan hukum masih dalam tahap awal. Selain itu, kantor kelurahan mempekerjakan petugas lapangan dari dinas yang mendata rumah kos.
Analisis Pelaksanaan Restorative Justice di Kelurahan Bedoyo Gunung Kidul Dalam Rangka Pemenuhan Keadilan Bagi Masyarakat Desa
Authors: Rizqullah Abimanyu  , Fanny Rifkat Mukarramah
Published: August 2023

Restorative Justice adalah suatu pendekatan dalam penyelesaian tindak pidana dengan melibatkan pelaku, korban, keluarga pelaku/korban, dan pihak lain yang terkait untuk bersama-sama mencari penyelesaian yang adil dengan menekankan pemulihan kembali pada keadaan semula, bukan untuk pembalasan. Dalam praktik penegakan hukum di Indonesia pendekatan Restorative Justice telah dilakukan oleh institusi penegak hukum seperti kejaksaan dan kepolisian. Salah satu mekanisme yang dilakukan oleh kejaksaan untuk melaksanakan pendekatan Restorative Justice berkaitan dengan penghentian penuntutan yaitu dengan membentuk Rumah Restorative Justice untuk desa atau kelurahan di Indonesia. Salah satu Rumah Restorative Justice yang ditetapkan oleh kejaksaan yaitu Kelurahan Bedoyo, Kabupaten Gunung Kidul. Kelurahan Bedoyo berhasil menyelesaikan suatu kasus penganiayaan dengan tersangka Kasemi binti Kasmo Semito. Tulisan ini bertujuan untuk mengetahui apakah pelaksanaan penghentian penuntunan dengan pendekatan Restorative Justice di Kelurahan Bedoyo apakah sudah tepat dan mengetahui dampak tersebut bagi masyarakat. Tulisan ini menggunakan metodologi penelitian normatif-empiris dengan pendekatan sosiologi hukum dipadukan dengan pendekatan konseptual. Kesimpulan dari tulisan ini adalah diketahui kejaksaan dan pemerintahan desa memiliki kewenangan untuk menyelesaikan perselisihan perkara dengan pendekatan Restorative Justice dan terhadap pelaksanaan Restorative Justice di Kelurahan Bedoyo, sejumlah besar masyarakat tidak merasakan dampak yang berarti dari adanya pelaksanaan tersebut.
Efficient classification of kidney disease detection using Heterogeneous Modified Artificial Neural Network and Fruit Fly Optimization Algorithm
Authors: J. Deepika  , P. Selvaraju  , Mahesh Kumar Thota  , Mohit Tiwari  , Dunde Venu  , K. Manjulaadevi  , N. Geetha Lakshmi
Published: August 2023

Chronic kidney disease (CKD), a significant issue for public health, affects millions of individuals globally. The course of end-stage renal disease must be stopped or reversed, hence it is crucial to find chronic kidney disease early in order to receive therapy. Prediction of CKD is a second source of treatment, as machine learning techniques, with their high classification accuracy, are becoming increasingly significant in medical diagnosis. To learn about CKD and associated issues in this situation, deep learning is used. The sole inputs used to construct the three distinct types of models were the retinal fundus image alone (test model), the covariate only (the reference model), and the retinal fundus image plus covariate (hybrid model). To maintain the accuracy of contemporary classification systems, feature selection techniques must be applied correctly in order to reduce data size. Here, recommend the Fruit fly optimisation algorithm (FFOA) and the heterogeneous artificial neural network (HMANN) in this paper for efficient disease categorization. An Internet of Medical Things (IoMT) platform is presented for the early detection, segmentation, and diagnosis of chronic renal failure using a heterogeneous modified artificial neural network (HMANN). The Multilayer Perceptron (MLP) and Support Vector Machine (SVM) algorithms are used to classify the suggested HMANN. The ideal feature is chosen using an FFOA from a large pool of candidate features. The proposed method uses ultrasound pictures as its foundation and, as a first step in processing, slices a region of interest in the kidney in the ultrasound image. The accuracy, sensitivity, specificity, positive predictive power, negative predictive power, false positive rate, and false negative rate of the suggested CKD classification system were all taken into consideration when evaluating its performance.
An Effective approach for Plant Disease Detection Using Assessment-Based Convolutional Neural Networks (A-CNN)
Authors: Nirmal Jothi Jerome  , Sivasankari Jothiraj  , Saranya Kandasamy  , Divya Ramachandran  , Dineshkumar Selvaraj  , Poonguzhali Ilango
Published: August 2023

Agriculture is crucial in determining land availability and economic productivity in developing countries, where most of the population relies on this sector. Even though plant diseases are common, they are primarily identified in agriculture. Automated disease detection technology is necessary for the timely identification of plant diseases. Detecting plant diseases is crucial in avoiding loss of production and enhancing agricultural produce quality. Lack of proper attention in this area can cause severe damage to plants, resulting in loss of product quality, quantity, or productivity. Diagnosing plant diseases can be a complex process that requires specialized knowledge and hands-on attention. The previous methods didn't find accurate disease in the plant leaves. To combat this problem, this paper presents deep learning (DL) based Assessment-based Convolutional Neural Network (A-CNN) method to detect healthy and unhealthy plant leaves. We first collect the plant image dataset from a Kaggle repository. To enhance the quality of plant images and achieve a smoother appearance, an Optimized Gaussian Wiener Filter (OGWF) can be utilized for image pre-processing. Additionally, the edges of plant leaves can be detected by implementing Sobel and Canny operators. Then we use Otsu's Threshold Fragment (OTF) algorithm to segment the disease-affected region. Additionally, the Spatial Grey-Level Dependence Matrix (SGLDM) algorithm is utilized to identify the most suitable feature of the impacted leaf. The A-CNN method is employed to detect healthy and unhealthy plant leaves accurately. The proposed simulation results have shown higher accuracy, sensitivity, and specificity in predicting plant diseases than other methods.
Automated Seizure Detection in Neonatal EEG using Signal Processing Algorithms
Authors: Sandhyakumari Golla  , Maloji Suman
Published: August 2023

The crucial challenge of identifying seizures in newborn electroencephalogram (EEG) data is the subject of this research. (ElectroEncephaloGram) EEG analysis has traditionally been labor-intensive and subjective due to the heavy reliance on human inspection by skilled electrophysiologists and neurologists. The authors suggest a novel online automatic detection approach to get over these restrictions. This approach intends to open the door for effective and reliable early seizure detection, delivering a potential development in neonatal care and neurological research. It does this by utilizing the capabilities of signal processing and brain-inspired modeling’s suggested machine-learning method makes effective use of real-time EEG signal processing methods. Its processing of incoming EEG data streams makes it appropriate for neonates to be closely tracked in critical care situations. Automation of the detection method minimizes the need for manual inspection by highly specialized experts, allowing for more rapid responses and possibly increasing seizure management's overall results. Using metal electrodes, the electroencephalogram (EEG) analyses the electrical activity of the brain. European Data Format (EDF) BROWSER and EEG STUDIO are used to analyses EEG signals. Root Mean Square (RMS) and signal samples are performed by EDF BROWSER, as well as mean, frequency, and frequency from filtered output using a band-pass filter. The standard deviation and average frequency are examined by EEG STUDIO. Spike detection, frequency domain analysis, and nonlinear techniques are used in seizure prediction. EOG, EKG, and EMG artifacts produced by the eyes, the heart, and the muscles, respectively may be present in EEG readings.
Enhancing Workforce Performance and Applications Toward Industry 5.0 with the 5G Conceptual Framework in Malaysia
Authors: Muhammad Saqib Iqbal  , Zulhasni Abdul Rahim  , Naoki Ohshima
Published: August 2023

As part of its "industry revolution plan," also known as "Industry4WRD," Malaysia has accepted and implemented contemporary technology, transforming Malaysia's diverse industrial sectors. We are currently well-established fourth Industrial Revolution of human history. The range and sophistication of digital instruments have increased significantly in recent years. Everything from robots to the Internet of Things (IoT) devices, communications infrastructure, data centres, and their power requirements. The manufacturing industry must develop innovative technologies, designs, structures, and concepts for communication and data storage to enhance the digital world's functioning and reduce the amount of energy necessary to operate it. Industry 5.0 is the next wave of industrial innovation, and industry experts eagerly anticipate its arrival. To increase industrial efficiency and flexibility, digitalisation and AI-driven technologies have supplanted the original goals of Industry 4.0, which included social fairness and sustainability. One interpretation of Industry 5.0 is that it is the return of the "human-centred" emphasis of Industry 4.0. By prioritising the well-being of people and the planet over pursuing financial gain, technological breakthroughs in industrial production would acquire a renewed sense of purpose and direction. A literature search was conducted to learn more about the first description of Industry 5.0. By utilising this strategy for systematic literature research, we could understand the concept and the most recent advancements in various published works. Following this, we used the software NVivo to develop a conceptual framework congruent with the study's objectives.
Erudite Survivor: Usability Testing of a Gamification-based Mobile App for Disaster Awareness Among Children
Authors: Zulfadli Hazim Zul Azlan  , Syahrul Nizam Junaini
Published: August 2023

Numerous peer-reviewed studies describe designs for a mobile application for children based on gamification and catastrophe awareness. However, few articles give extensive evaluations of their solutions’ usability for end users. The purpose of this study is to present the usability assessment findings of a mobile app aimed at raising children’s catastrophe awareness in Malaysia. The study includes 12 target users to test the usability of the Erudite Survivor mobile app prototype. The test evaluation contains a pre-test, post-task and post-test questionnaire (Post-Study System Usability Questionnaire). The primary sections of this Post-Study System Usability Questionnaire are Overall Satisfaction, System Usefulness, Information Quality, and Interface Quality. The Post-Study System Usability Questionnaire revealed the following mean scores: Overall satisfaction (2.09), System Usefulness (2.03), Information Quality (2.06), and Interface Quality (2.25). Users of the prototype were satisfied with the application because the score was near to 1. This application’s capacity to teach children about disaster awareness might be viewed as the initial step toward a future improvement of gamification-based disaster education among Malaysian children.
Liquid Composition Identification and Characteristic Measurement Using Ultrasonic Transmission Technique via Neural Network
Authors: Muhammad Naufal Mansor  , Sofi Yahya  , Wan Azani Mustafa  , Habibah Hj Mokhtaruddin  , Syahrul Affandi Saidi  , Ilham Shafini Ahmad Mahyudin  , Mohd Aminudin Jamlos  , Noor Anida Abu Talib  , Mohd Zamri Hasan
Published: August 2023

This project is to determine the composition of liquids solvent by using the ultrasonic frequency signal from echoscope scan machine. The transmission technique of ultrasonic signal is focused. On the research experiment, studies on mixing of distilled water with control sodium chloride (Kitchen Salt), kitchen sugar and monosodium glutamate (MSG). The Parameters such as Fast Fourier Transform (FFT) which is the parameters are using to identify the ratio of composition of liquid solvent. The feature extraction of median, average and root mean square (RMS) from FFT is represented with different result analysis such as sensitivity, specificity, accuracy, Area under curve, kappa, F-measure and precision. The results performed more than 90% with Neural Network.
Hybrid Mahalanobis Taguchi System with Binary Whale Optimisation Feature Selection for the Wisconsin Breast Cancer Dataset
Authors: Chow Yong Huan  , Wan Zuki Azman Wan Muhamad  , Zainor Ridzuan Yahya  , Nor Hizamiyani Abdul Azziz  , Tan Li Mei  , Tan Xiao Jian
Published: August 2023

The Mahalanobis-Taguchi System (MTS) is a statistical approach used in breast cancer research to facilitate early detection and promote efficient treatment. The technique analyses mammogram images for significant features using a multivariate statistical analysis technique. It combines the Mahalanobis distance (MD) and Taguchi's method to determine the differences between benign and malignant samples. While orthogonal array (OA) has been widely used in MTS, it has been criticised for providing suboptimal results due to insufficient coverage of feature combinations during the feature optimisation process. To address this issue, the Binary Whale Optimisation Algorithm (BWOA) is proposed as an improved search algorithm for MTS. This paper aims to develop a novel hybrid method that enhances the efficiency of the Mahalanobis Taguchi System (MTS). The performance of feature selection ability due to different MTS hybrid algorithms were also compared. BWOA simulates the hunting behaviour of humpback whales and works by exploring new regions of the solution space, gradually narrowing the search space, and fine-tuning the solution. MTS-BWOA demonstrated its enhanced capability in feature optimisation compared to traditional MTS methods and has the potential to be applied in other medical imaging domains.
SAWUBONA. A theo-ethic for everyday decolonial gestures
Authors: Kaunda C.J.
Published: August 2023

This article takes a pentecostalicity engagement with the Zulu notion of Sawubona to construct a theo-ethics of everyday decolonial gestures of life-giving, affirmation and enhancing in the context of global coloniality and cultures of death that define and determine life in modern capitalist societies. Pentecostalicity is grounded in the Spirit’s freedom to greet (Sawubona) creation as happened on the Day of Pentecost (Acts 2) with pneumatic gestures of redemption, liberation, emancipation and recognition of the singularity of life and co-becoming of all things in the universe. I demonstrate how indigenous forms of greeting embody pentecostalicity resources that could be mobilised to construct a theo-ethics ofeveryday decolonial gestures. I underline that such an approach helps to perceive indigenous greetings such as Sawubona as dynamic philosophical terms saturated with incredible meanings deeply rooted in the pro-existential spirituality of care for life.
Holy communion in contagious times
Authors: Ncapodi T. E.
Published: August 2023

Richard Burridge’s volume could not have come at a better time. In the aftermath of the COVID pandemic, his discourse is on the virtual church and the celebration of Holy Communion online. Some Christian churches have gladly embraced the concept of online meetings and still allow their members to attend services in this way. Other Christian churches do not support online HolyCommunion. Instead, they support online church services only, without the Eucharist. Burridge’s book provides a raison d’etre for online forms of Christian worship.
Restoration of diversity and regeneration of woody species through area exclosure: the case of Maun International Airport in northern Botswana
Authors: Kashe Keotshephile , Teketay Demel , Mmusi Mmusi , Galelebalwe Meleko Khululo
Published: August 2023

Background and objectives: Deforested and degraded areas can be cheaply and conveniently restored through establishment of exclosures. An area exclosure excludes animals and humans from accessing an area to promote natural regeneration of plants and rehabilitate ecological condition of the area. The study was aimed at: (1) determining the diversity (species richness, diversity and evenness); (2) assessing the stand structure (densities); and (3) assessing regeneration status of woody species inside and outside exclosed Maun International Airport, northern Botswana.
Methods: Vegetation sampling was conducted from April to May 2018. A total of 48 and 37 quadrats of 20 × 20 m were laid down at 50 m intervals along transect lines inside and outside Maun International Airport, respectively. Identity, number of all live individuals and height of all woody species were recorded in all the quadrats. The diversity of all woody species was analysed by using the Shannon Diversity Index (H’) and regeneration status of each woody species was assessed using frequency distribution of height class.
Results: The diversity, evenness and species richness were significantly higher inside than outside Maun International Airport. Colophospermum mopane was the most abundant species both inside (75% of all woody species) and outside (96% of all woody species) Maun International Airport. More species showed more regeneration inside than outside Maun International Airport. The inside of Maun International Airport recorded more alien invasive woody species compared with the outside, owing to its original use as a residential area. The local communities might have introduced these species as ornamental trees.
Conclusion: This study, while limited in scale, contributes to understanding of the role of exclosures in enhancing woody species richness, diversity and evenness as well as facilitating regeneration of woody species. Degraded woodlands and other similar ecosystems could be cheaply and conveniently restored through establishment of exclosures, but more research and monitoring are required to fully understand the processes and impacts.
A Critically Endangered Proteaceae in the Cape Florisitic Region threatened by an invasive pathogen
Authors: Paap Trudy , Nndanduleni Mashudu , Wingfield Michael
Published: August 2023

Background: Sorocephalus imbricatus (Thunb.) R.Br. is a range-restricted species endemic to the Cape Floristic Region (CFR), South Africa. It is currently classified as Critically Endangered in accordance with the IUCN criteria. Like many other species endemic to the CFR, S. imbricatus is subjected to several major threats including habitat loss, habitat degradation and the impacts of invasive alien species. Sorocephalus imbricatus was recently identified as a species requiring improved representation in ex-situ collections. During field work undertaken to collect germ­plasm for this purpose, a concerning number of dead and dying plants were observed.
Objectives: To determine the cause of rapid death of individuals in a remnant subpopulation of S. imbricatus.
Method: A field visit to a subpopulation of the only extant population, Elands­kloof, was conducted to examine the symptoms associated with S. imbricatus mortality, and to collect samples for isolation and identification of putative pathogens.
Results: Dead and dying plants showed clear symptoms of root and collar rot, with Phytophthora cinnamomi Rands recovered from all samples. The collections highlighted the severe impact of P. cinnamomi on S. imbricatus, with the size of the subpopulation being reduced from 62 to 37 individuals (a 40% reduction) between October 2021 and May 2022.
Conclusion: This study describes, for the first time, rapid mortality of the Critically Endangered Proteaceae species, S. imbricatus, likely caused by the invasive pathogen P. cinnamomi. This concerning discovery highlights the urgent need for greater recognition of the threat P. cinnamomi poses not only to S. imbricatus, but to the broader floristic diversity of the CFR. Importantly, it illustrates a need for a substantial body of work to be undertaken to address a significant lack of knowledge regarding the relative threat that P. cinnamomi poses to species of the CFR.
First record of the North African Launaea arborescens in southern Africa
Authors: Antje Burke  , Mannheimer Coleen
Published: August 2023

The first record of the non-native, naturalised Launaea arborescens (Batt.) Murb. in the Namib Desert raised  questions of its origin and whether or not it could pose a threat to the indigenous vegetation. The North African plant was introduced in a forestry nursery in the Kuiseb Delta and some individuals were also planted outside the nursery in the early 1970s. They have maintained a likely viable population for nearly 50 years, but have so far not been observed elsewhere and thus appear not to be spreading.
Domain Adaptation for Simulation-based Dark Matter Searches with Strong Gravitational Lensing
Authors: Alexander Stephon , Gleyzer Sergei , Parul Hanna , Reddy Pranath , Tidball Marcos , Toomey Michael W.
Published: August 2023

The identity of dark matter has remained surprisingly elusive. While terrestrial experiments may be able to nail down a model, an alternative method is to identify dark matter based on astrophysical or cosmological signatures. A particularly sensitive approach is based on the unique signature of dark matter substructure in galaxy–galaxy strong lensing images. Machine-learning applications have been explored for extracting this signal. Because of the limited availability of high-quality strong lensing images, these approaches have exclusively relied on simulations. Due to the differences with the real instrumental data, machine-learning models trained on simulations are expected to lose accuracy when applied to real data. Here domain adaptation can serve as a crucial bridge between simulations and real data applications. In this work, we demonstrate the power of domain adaptation techniques applied to strong gravitational lensing data with dark matter substructure. We show with simulated data sets representative of Euclid and Hubble Space Telescope observations that domain adaptation can significantly mitigate the losses in the model performance when applied to new domains. Lastly, we find similar results utilizing domain adaptation for the problem of lens finding by adapting models trained on a simulated data set to one composed of real lensed and unlensed galaxies from the Hyper Suprime-Cam. This technique can help domain experts build and apply better machine-learning models for extracting useful information from the strong gravitational lensing data expected from the upcoming surveys.