bluuebunny/crossref_metadata_2025 huggingface dataset:
SOSIALISASI DISASTER PLAN DAN KESIAPSIAGAAN BENCANA MELALUI VIDEO ANIMASI BAGI PERAWAT PUSKESMAS SE KABUPATEN BANYUMAS
Authors: Kamaluddin Ridlwan , Rahayu Eva , Wahyu K Dhadhang , Alivian Galih Noor
Published: August 2024

Nurses are one of the front lines in handling the COVID-19 pandemic in the health sector. Nurses need adequate knowledge and ability in dealing with disasters. Community nurses in Banyumas Regency are embodied in the INNA Leadership Council Commissariat (DPK) of the Banyumas Regency Health Office. The number of community nurse members is 500 people spread over 40 Puskesmas in Banyumas Regency. Based on the results of the study, as many as 91.2% of community nurses have never attended disaster preparedness training, 52.4% have not had a preparedness plan in the workplace and the level of disaster preparedness of community nurses is at a moderate level. Through this research-based community service program, it is hoped that nurses at Puskesmas throughout Banyumas Regency will gain knowledge regarding the Disaster Plan Health Center as part of disaster risk reduction in their area. This program is carried out through the socialization of the Community Health Center Disaster Plan in the form of virtual animation videos. This online socialization activity consisted of a pre-test of nurses' knowledge about the Community Health Center Disaster Plan, provision of materials, a question and answer discussion and ended with a post test. Animated video socialization activities can increase nurses' knowledge related to the Disaster Plan Health Center. The average value of the pre-test on the puskesmas disaster plan obtained was 68.33, while the post-test score for knowledge about the Puskesmas Disaster Plan obtained an average value of 87.45. Based on the results of the paired t test analysis, it is known that the value (p = 0.00). The results of the analysis indicate that there is a significant relationship or difference between the knowledge scores of nurses at the Puskesmas in Banyumas Regency and the understanding of the Puskesmas Disaster Plan. This Research-Based PKM program has been running smoothly and has resulted in services in the form of providing counseling by experts in the health sector about its functions, components, the process of preparing the Health Center Disater Plan and intellectual property rights, animated videos and publications.
 
Keywords: nurse; disaster preparedness; health center disaster plan
Survei Survei Kepuasan Pelanggan Tentang Mutu Dan Kualitas Pelayanan Donor Darah Di Unit Tranfusi Darah PMI Kota Surabaya Tahun 2019
Authors: Cahyadi Rachmad , Primasari Renata , Samsulhadi Wiwid
Published: August 2024

Abstrak
Pemerintah berupaya meningkatkan kualitas pelayanan kesehatan demi tercapainya harapan dan tuntutan publik. Upaya tersebut dilakukan secara menyeluruh dan berkelanjutan. Untuk itu diperlukan evaluasi terhadap penyelenggaraan pelayanan yang telah dilakukan. Salah satu cara untuk memperoleh hasil evaluasi adalah dengan meminta penilaian publik terhadap kualitas pelayanan melalui survei kepuasan pelanggan / masyarakat. Diharapkan setelah dilakukannya evaluasi dengan melalui terlaksananya survei kepuasan pelanggan terhadap para pedonor maupun calon pedonor di UTD PMI Kota Surabaya dapat terwujudnya pelayanan kesehatan yang baik, ramah, nyaman dan sesuai standar operasional prosedur. Survei kepuasan pelanggan ini juga sangat diperlukan untuk mengetahui apakah masih ada kekurangan atau kesalahan yang terjadi terhadap layanan kesehatan di UTD PMI Kota Surabaya
Kata Kunci : UTD PMI Kota Surabaya, Survei, Kepuasan Pelanggan
 
Abstract
The government seeks to improve the quality of health services in order to achieve public expectations and demands. These efforts are carried out comprehensively and continuously. For this reason, it is necessary to evaluate the implementation of services that have been carried out. One way to obtain evaluation results is to request a public assessment of service quality through customer/community satisfaction surveys. It is hoped that after the evaluation through the implementation of a customer satisfaction survey for donors and prospective donors at UTD PMI Surabaya City, good, friendly, comfortable health services and according to standard operating procedures are expected. This customer satisfaction survey is also very necessary to find out whether there are still deficiencies or errors that occur in health services at UTD PMI Surabaya
Keywords: UTD PMI Surabaya City, Survey, Customer Satisfaction
DETEKSI DINI PRADIABETIK SEBAGAI LANGKAH AWAL PENCEGAHAN DIABETES MELITUS DI MASYARAKAT PERUMAHAN BUKIT KALIBAGOR INDAH, KECAMATAN KALIBAGOR, KABUPATEN BANYUMAS
Authors: Wahyudin Wahyudin , Yusan Rizak Tiara , Pratama Koernia Nanda , Hidayah Arfi Nurul
Published: August 2024

Deteksi dini pradiabetik merupakan salah satu cara untuk menekan tingginya angka kejadian diabetes yang setiap tahun mengalami peningkatan. Tujuan pengabdian ini adalah untuk mengetahui kondisi gula darah sejak awal warga yang tinggal di perumahan bukit kalibagor indah. Jika kondisinya adalah pradiabetik, maka warga dapat merubah pola kehidupannya menjadi lebih sehat, sehingga kondisi pradiabetik yang dialami tidak berkembang menjadi diabetik. Metode yang digunakan adalah memeriksa gula darah puasa (GDP) warga. Pemeriksaan GDP bekerjasama dengan kader posbindu, ketua RT, tokoh masyarakat dan takmir mesjid yang dilaksanakan pada pagi hari. Selanjutnya dilakukan penyuluhan untuk meningkatkan pengetahuan warga terkait dengan pradiabetik, diabetik, komplikasi, manajemen stress pradiabetik dan diabetik, serta penyuluhan terkait dengan olahraga kaki pada diabetes. Hasil pengabdian menunjukkan bahwa dari 105 warga yang memeriksa GDP, diperoleh hasil bahwa yang mengalami pradiabetik adalah sebanyak 43 %. Jumlah yang tidak sedikit tentunya, mengingat banyak warga yang takut memeriksakan GDP, sehingga hanya sejumlah 105 warga yang memeriksa GDP. Pelaksanaan penyuluhan menunjukkan peningkatan pengetahuan warga terhadap materi penyuluhan yang diberikan dengan nilai p< 0.05. pengetahuan tentang pradiabetik diharapkan akan menjadi modal untuk merubah pola hidup yang lebih sehat.
 
Key word: pradiabetik, deteksi dini, gula darah puasa (GDP)
Socialization Website-Based Nursing Data Analysis Services at Banyumas Regional Hospital
Authors: Choiruna Hasby Pri , Amalia Reza Fajar , Pratama Koernia Nanda , Setiono Tulus , Ramadhan Indah
Published: August 2024

Determining a nursing diagnosis is a very important part of being able to provide holistic and comprehensive nursing care for patients. Nursing diagnoses are determined based on the analysis of nursing data from the results of nursing assessments. Data analysis carried out manually has weaknesses, namely the precision and accuracy of the results, which are very dependent on the nurse's knowledge and experience in carrying out the nursing process. The process of manually analyzing nursing data also takes a relatively long time. Ramut Nursing Data Analysis (RNDA) is the first and free nursing data analysis service in Indonesia, which can help nurses, lecturers, and nursing students more easily, quickly, and accurately analyze nursing data and determine nursing diagnoses from the results of nursing assessments. Nurses at Banyumas Regional Hospital still carry out conventional nursing data analysis and are not yet familiar with the existence of RNDA services; Therefore, it is important to socialize the application of RNDA to analyze nursing data at Banyumas Regional Hospital. The activity was attended by 35 nurses with a series of activities including socialization of RNDA using the lecture method, demonstration of steps for using RNDA, discussion, and questions and answers, followed by nurses trying to practice using RNDA and providing feedback on RNDA. The results of the evaluation of this activity are that nurses understand more about nursing data analysis and RNDA, increase the speed of nurses in analyzing patient nursing data, increase the accuracy of identifying patient nursing diagnoses, increase the ease felt by Banyumas Regional Hospital nurses when patient analyzing nursing data, and providing positive feedback for RNDA.
Observations on breeding success and flocking of Australian Sarus Cranes Grus antigone gillae and Brolgas G. rubicunda in the Gulf Plains bioregion, north-western Queensland, Australia
Authors:   Cairns Institute, James Cook University, P.O. Box 6811, Cairns QLD 4870, Australia, Nevard Timothy , Scrambler Elinor ,   P.O. Box 1383, Atherton QLD 4883, Australia, Franklin Donald ,   Research Institute for Environment and Livelihoods, Charles Darwin University, Darwin NT 0909, Australia,   Ecological Communications, 24 Broadway, Herberton QLD 4887, Australia
Published: August 2024

Known breeding sites of the Australian Sarus Crane Grus antigone gillae are concentrated in the Gulf Plains bioregion of north-western Queensland, where this species is sympatric with the Brolga G. rubicunda. Breeding success in cranes may be highly variable and roadside surveys in the Gulf Plains on 11 days in April–June 2014 showed that breeding success (number of young as a proportion of the number of pairs) was low, at 28% for Brolgas and 21% for Australian Sarus Cranes. This might have resulted from excessive flooding after heavy cyclonic rains during the height of nest initiation in February. At the 90 roadside sites occupied by only one species, Australian Sarus Cranes showed a significant preference for wooded habitats, whereas Brolgas were more likely to prefer open habitats and were the only occupants of saline areas. Both species were present at two grassland (open) sites and three moist woodland sites. Opportunistic observations showed that flocking (aggregations of ≥10 birds, including families) was well established on one cattle station (Miranda Downs), where both species foraged on a recently harvested hay paddock with readily accessible artificial water sources. Other foraging and wetland sites on this property were also shared by both species, suggesting that close association between them occurs more often, and earlier after the breeding season, than previously thought.
The Rise and Transfer of the River Chief System: A Review of Chinese Water Governance and Its Potential to Transfer to the Global Community
Authors: Dolowitz David
Published: August 2024

China has enacted a range of policies to improve its water ecosystem since the middle of the 20th Century. Some of these measures include the creation of Seven River Conservancy Commissions, the development (combination and recombination) of series of ministries and departments to address environmental pollution and degradation, and recently the implementation of the river chief system. To understand if the river chief system can transfer to other political jurisdictions the authors gathered data using key word searches of the Web of Science and Google Scholar, official government sites, media sites and key international organizations. Based on this the authors review the development of the river chief system in the context of broader ecological reforms, place the rise of the river chief in the context of potential lessons for future improvement, and speculate on the possibility that China could transfer the river chief to countries facing similar challenges in their water governance regimes.
GEANT4 Simulation of a Muon Tomography Station Using Novel and Simple Reconstruction Algorithm for Homeland Security Application
Authors: Özuygur Mahmut Can , Özkorucuklu Suat
Published: August 2024

Muon tomography leverages cosmic muons’ exceptional penetration capabilities to reconstruct detailed tomographic images via multiple Coulomb scattering interactions, making it invaluable for detecting High-Z materials critical to homeland security. This study introduces the Slope Intercept (SI) algorithm, a novel approach for rapid and precise tomographic image reconstruction. Implemented using Geant4 simulations in a standard-sized container tomography station, SI demonstrates superior performance in speed and simplicity compared to traditional methods. While the imaging results of SI and the Point of Closest Approach (POCA) algorithm are nearly identical, the SI algorithm is simpler to implement, requires shorter CPU time, and exhibits a smaller margin of error. Its computational efficiency and simplicity make it a robust alternative to the POCA algorithm. These findings highlight SI’s suitability for applications demanding robust imaging and efficient data processing, which are crucial for advancing security measures and scientific research.
Advancements in Securing Cloud-Stored Data and Managing Sensitive Information: A Comprehensive Review of Ciphertext-Policy Attribute-Based Encryption (CP-ABE) Techniques
Authors: S Priya , R Amritha
Published: August 2024

The exploring comprehensive review of cutting-edge techniques for securing cloud-stored data and managing sensitive information in the context of smart cities through the application of Ciphertext-Policy Attribute-Based Encryption (CP-ABE). It highlights the innovative integration of blockchain technology with CP-ABE, which introduces a decentralized and tamper-resistant key management system, thereby enhancing the overall security framework in cloud environments where data sharing is prevalent. Introducing an online/offline multi-authority CP-ABE scheme, characterized by hidden policies, offers significant advancements in protecting user attributes and access structures, ensuring that sensitive information remains confidential even during encryption and decryption processes. This dual approach not only fortifies security but also optimizes the efficiency of data-sharing mechanisms. Furthermore, the paper delves into implementing hidden sensitive policies and keyword search techniques within smart city infrastructures, which are designed to facilitate secure and efficient data retrieval. These techniques ensure that while data remains accessible to authorized users, privacy is rigorously maintained. Collectively, these approaches represent significant strides in bolstering the security and confidentiality of data in both cloud-based and smart city applications, addressing the growing demand for robust and efficient data management solutions in increasingly interconnected environments.
Impact of Component Quality on Electronic Product Reliability and Environmental Sustainability
Authors: Weiss Eyal
Published: August 2024

The electronics industry is a significant contributor to environmental challenges, generating approximately 50 million tons of electronic waste annually and high levels of carbon dioxide emissions throughout the production and disposal of devices. This paper investigates the interplay between reliability and sustainability by analyzing how degraded components affect the environmental footprint of electronic products. Using a board with 215 components as a baseline, we calculate the mean time between failures (MTBF) and compare it to scenarios involving degraded components. Our findings demonstrate that degraded components can reduce MTBF by up to 50%, resulting in higher failure rates, increased electronic waste, and up to 30% more CO2 emissions due to shortened product lifespans. This study underscores the crucial importance of component quality control in the production process to improve both reliability and sustainability. Additionally, the broader economic and environmental impacts of using unchecked components are highlighted, showing their contribution to elevated failure rates, shortened product lifespans, and an estimated 20% increase in e-waste. By adopting a 100% inspection protocol, leveraging advanced technologies, and enforcing stringent material quality controls, manufacturers can significantly enhance the reliability of electronic products while reducing their environmental impact, thus fostering a more sustainable electronics industry.
Early Detection of Cervical Adenocarcinoma Using Immunohistochemical Staining Patterns Analyzed through Computer Vision Technology
Authors: Diao Su , Huang Shijia , Wan Yajie
Published: August 2024

This paper explores the application of machine learning (ML) in predicting functional recovery in patients with ischemic stroke. As technology advances, ML shows significant potential in the field of stroke medicine, especially in the areas of big data analytics and personalized medicine. Studies have shown that ML algorithms can improve the accuracy of stroke image analysis, subtype classification, risk assessment, treatment guidance, and prognosis prediction. However, the widespread use of ML still faces challenges such as data standardization, model validation, privacy, and bias. This paper reviews the current application status of ML in the field of stroke, discusses the challenges faced, and looks forward to the future development direction, aiming to promote the practical application of ML technology in the diagnosis and treatment of stroke to improve the prognosis and quality of life of patients.
The ANSI/373 Standard: An Examination of a Voluntary Sustainability Initiative for Processing and Distributing Dimension Stone
Authors: Ashbee Erin M. , Bardecki Michal J.
Published: August 2024

This study explores the implementation of the ANSI/373: Sustainable Production of Natural Dimension Stone standard within the North American dimension stone industry to identify driving forces behind the initiative and consider potential outcomes as it advances. The method involves a thorough review of ANSI/373, comparing it with voluntary sustainability initiatives (VSIs) in the forest industry to assess its effectiveness and challenges, and semi-structured interviews with contacts in the dimension stone field. Key drivers such as corporate social responsibility and market pressures influence the adoption of sustainability standards. The results highlight the embedded environmental considerations within the emerging dimension stone standards and their implications for sustainable practices in the industry. While the ANSI/373 standard promotes sustainable awareness and practices, it faces challenges in certification credibility and industry acceptance, particularly due to inconsistency among firms in their response, rigorous certification demands, and skepticism about certification credibility. The research advocates for enhanced collaborative frameworks to increase the standard’s adoption and impact, suggesting that industry stakeholders prioritize showcasing dimension stone as a practical, environmentally considerate material.
Essential Oils as an Antifungal Alternative to Control Cladosporium spp., Lasiodiplodia spp., Colletotrichum spp., Fusarium spp. and Aspergillus spp. Isolated of Musa paradisiaca
Authors: Maritza D. Ruiz-Medina , Ruales Jenny
Published: August 2024

Antifungal properties are found in essential oil extracts of oregano (Origanum vulgare), rosemary (Salvia rosmarinus), clove (Syzygium aromaticum), thyme (Thymus), cinnamon (Cinnamomum verum), basil (Ocimum basilicum), therefore, the ability to prevent or inhibit the growth of Cladosporium spp., Lasiodiplodia spp., Colletotrichum spp., Fusarium spp., and Aspergillus spp. was studied. Cladosporium spp., Lasiodiplodia spp. Colletotrichum spp. Fusarium spp. y Aspergillus spp. fungi that were isolated and purified from the rot found on the banana peels (Musa paradisiaca). To perform a visual (macro-scopic) analysis of the Petri dish containing the pure fungus and a more detailed (microscopic) analysis of the fungal spores to classify it by genus, then, dilutions are prepared to inoculate onto amended PDA medium with chloramphenicol. Weekly re-inoculations are performed until iso-lated and purified fungi are obtained, which are then evaluated for in vitro inhibition and in vivo growth, according to the results of the in vivo analysis, the fungi were classified from higher to lower severity in: Colletotrichum spp., Lasiodiplodia spp., Aspergillus spp., Fusarium spp. and Cladosporium spp and based on fungal growth observations, it was found that basil and rosemary do not inhibit growth at the maximum concentration. Cinnamon inhibits at 400 ppm, rosemary halts fungal growth at 600 ppm, clove at 1000 ppm, and oregano at 800 ppm.
Effects of Electroless Deposition Conditions on the Hydrogen Generation Kinetics of Co-Fe-P Catalysts via Hydrolysis of Ammonia Borane Solution
Authors: Oh SeKwon
Published: August 2024

This study investigates the fabrication and optimization of Co-Fe-P catalysts on Cu foam using electroless deposition, focusing on their hydrogen generation efficiency. Deposition times were varied from 1 to 10 minutes, resulting in spherical Co-Fe-P particles growing from sub-micron to several microns in size. The optimal hydrogen generation rate of 27.66 ml/min was achieved with a 5-minute deposition. Extending the deposition to 10 minutes led to particle aggregation, reducing the efficiency per unit weight. The impact of bath temperatures from 30°C to 60°C was also assessed, with temperatures of 50°C and above promoting the development of larger 3D structures and increasing Fe and P contents (~9.3 wt.% and 10 wt.%). This enhanced hydrogen generation, peaking again at 27.66 ml/min. NaOH concentrations were varied from 0.5 M to 0.9 M, showing that concentrations over 0.8 M improved catalyst morphology and performance, increasing hydrogen generation to 10.03 ml/min. Among substrates tested, Co-Fe-P on Cu foam demonstrated the highest hydrogen generation rate due to better catalyst distribution and surface area. The study underscores the importance of deposition conditions and substrate choice in optimizing Co-Fe-P catalysts for hydrogen generation.
Analisis Dampak Aktivitas Gerakan Literasi Sekolah (GLS) Terhadap Keterampilan Menulis Karangan Narasi Peserta Didik Kelas IV Sekolah Dasar
Authors: Maharani Ainayah Putri , Slamet St Y , Istiyati Siti
Published: August 2024

This research aims to describe the impact of school literacy movement activities on the narrative essay writing ability of fourth grade elementary school students. This research is qualitative research using the results of students' narrative essay writing. The object of this research is the impact of literacy on students' narrative essay writing skills. Data collection uses observation, interview and documentation techniques. Data validity testing techniques use source triangulation and engineering triangulation techniques. The data analysis technique uses the Milles and Huberman data analysis model. The results of the research are that the literacy movement carried out can influence the learning outcomes of writing narrative essays for class IV students. This research shows that there are still some students who cannot explain the background indicators in a story. Setting indicators in a story include time, place and atmosphere. It is hoped that the implications of this research can be material for consideration and evaluation in literacy, especially in the activity of writing narrative essays.
Analisis kesalahan penggunaan kalimat majemuk dalam menulis karangan narasi peserta didik kelas v sekolah dasar
Authors: Cahyati Angela Raisya Putri , Slamet Slamet , Ardiansyah Roy
Published: August 2024

This research aims to (1) describe the errors in using compound sentences in narrative essays written by fifth-grade students at SDN Karangasem I Surakarta, and (2) describe the factors influencing the errors in using compound sentences in writing narrative essays by fifth-grade students at SDN Karangasem I Surakarta. This study is a descriptive qualitative research. The research subjects are fifth-grade students at SDN Karangasem I Surakarta. Data collection methods include observation, document analysis, and interviews. Data analysis technique uses Tarigan & Tarigan’s error analysis. The research findings show that 143 errors in using compound sentences were identified (52.57%), consisting of 57 errors in using compound sentences (20.96%), 78 errors in using complex compound sentences (28.68%), and 8 errors in using mixed compound sentences (2.94%). Factors influencing the use of compound sentences include (1) mastery of material related to compound sentences, (2) mastery of grammatical rules for compound sentences, (3) proficiency in everyday language, and (4) practice in writing compound sentences. The theoretical implications of this research can be used as a reference for future studies. The practical implications of this research can assist educators in providing an understanding of teaching compound sentence writing
Pengaruh Model Project Based Learning Berbasis Pembelajaran Diferensiasi Terhadap Creative Thinking Skill Dan Hasil Belajar Kognitif IPAS
Authors: Pramesthi Angel Dyah , Atmojo Idam Ragil Widianto , Ardiansyah Roy
Published: August 2024

Creative thinking skills are one of the skills that must be mastered in the 21st century. Increasing creative thinking skills can have an effect on increasing student learning outcomes. Implementation of a project based learning model based on differentiation learning can be used to develop creative thinking skills and student learning outcomes. This research was conducted to determine the effect of the project based learning model based on differentiation learning on the creative thinking skills and learning outcomes of class IV students at Gugus Srikandi Elementary School, Kaliwungu District in the 2023/2024 academic year. This research uses a quantitative approach with a non-equivalent quasi-experimental pre test-post test research design. The population of this study was all grade IV students at Gugus Srikandi Elementary School, Kaliwungu District in the 2023/2024 academic year using cluster random sampling techniques. This research uses multivariate analysis of variance to carry out data analysis tests. The research results are based on the MANOVA test with a significance value < 0.005 (0.000 < 0.005). These results show that there is a difference in the average creative thinking skill scores and student learning outcomes before and after using the project based learning model based on differentiation learning. Based on this, it can be concluded that the project based learning model based on differentiation learning has an influence on creative thinking skills and student learning outcomes.
Upaya meningkatkan hasil belajat matematika melalui model project based learning (PjBL) pada siswa kelas 5 SD Negeri 1 Towangsan
Authors: Febriyani Nabilah Putri
Published: August 2024

The goal of this study is to enhance the mathematics academic performance of fifth-grade students at SD Negeri 1 Towangsan through the implementation of a project-based learning approach. The research methodology employed is classroom action research conducted over 2 cycles. Each cycle includes four stages: planning, taking action, evaluating, and reflecting. This study involved 18 students in fifth grade at an elementary school. The methods of collecting data include observing students and teachers, administering tests to assess student progress, and keeping records. The information collected was subsequently examined using descriptive statistical analysis methodsAccording to the findings from the research, there has been a 16.66% improvement in learning outcomes. In the first cycle, 66.67% of the learning outcomes were achieved, while in the second cycle, the achievement rate increased to 83.33%. Therefore, it can be inferred that utilizing the project based learning (PjBL) approach can enhance students' academic performance.
Analisis kemampuan membaca pemahaman peserta didik kelas v pada pembelajaran bahasa indonesia kurikulum merdeka
Authors: Aranti Zalsabilla Sekar Fiqhanna , Istiyati Siti , Adi Fadhil Purnama
Published: August 2024

The aim of this research is to describe the reading comprehension abilities, barriers, and efforts to overcome barriers to reading comprehension of class V students at SDN Cinderejo Surakarta. This research approach is descriptive qualitative. The data collection techniques for this research are interviews, tests and observations. The data validity technique in this research is triangulation of sources and techniques. This research uses the Miles and Hubberman model data analysis technique. The results of the research show that students' reading comprehension abilities are at a literal level of 31.57%, at an interpretive understanding level of 28.42%, at a critical level of 28.07%, and at a creative level of 47.3%. Students who cannot understand reading at a literal level will find it difficult to understand reading at an interpretive level, and so on. Barriers to reading comprehension experienced by students are poor physical condition, low student motivation, and a home environment that does not support students in reading comprehension. The efforts made are learning while playing, providing verbal motivation to students, providing a comfortable reading room, getting students used to reading, and collaborating with students' parents. The conclusion of this research is that students' overall reading comprehension ability is included in the poor category, so it is necessary to try to overcome barriers to students' reading comprehension.
Распространение вариантов вируса SARS-COV-2, вызывающих интерес (VOI) и находящихся под наблюдением (VUM), на основе количества их геномов, депонированных в базу данных GISAID за неделю с 24 по 30 августа 2024 г.
Authors: Дмитриева Людмила , Чумачкова Елена , Краснов Ярослав , Осина Наталья , Зимирова Анастасия , Иванова Александра , Карнаухов Игорь , Караваева Татьяна , Щербакова Светлана , Кутырев Владимир
Published: August 2024

В обзоре представлена информация по циркулирующим в настоящее время вариантам вируса SARS-COV-2 Omicron вызывающих интерес (VOI) и находящихся под наблюдением (VUM), геномные последовательности которых размещены в международной базе данных GISAID за неделю с 24 по 30 августа 2024 г.
PENGARUH KUALITAS PELAYANAN, RELIGIUSITAS, DAN KEPERCAYAAN TERHADAP MINAT MENABUNG MASYARAKAT DI BANK SYARIAH INDONESIA
Authors: Almaqi Ahmad Zam Zam , Hidayat Candra Wahyu , Hidayat Candra Wahyu
Published: August 2024

Tujuan Penelitian dalam hal ini guna mengetahui pengaruh kualitas pelayanan, religiusitas, serta kepercayaan terhadap bagaimana minat dalam menabung masyarakat pada Bank Syariah Indonesia. Penelitian berikut memakai metodologi kuantitatif dimana metode ini mengacu pada paradigma positivis. Jenis dalam penelitian ini merupakan penelitian eksplanatori. Responden penelitian sebanyak 120 orang, populasi penelitian ini terdiri dari warga Kota Malang yang menjadi nasabah Bank Syariah Indonesia. Instrumen dalam penelitian kali ini dinyatakan valid serta reliabel dengan menggunakan pengujian validitas dan pengujian reliabilitas. Teknik dalam pengumpulan responden dengan menyebarkan kuesioner kepada responden, selanjutnya dianalisis dengan analisis regresi liear berganda menggunakan SPSS. Hasil dari penelitian ini menunjukkan bahwa pada saat yang sama, kualitas pelayanan, religiusitas serta kepercayaan secara signifikan mempengaruhi minat menabung. Secara parsial, persepsi kualitas pelayanan, religiusitas, serta kepercayaan secara signifikan mempengaruhi minat dalam menabung masyarakat.
PENGARUH PROFITABILITAS, PERTUMBUHAN DAN UKURAN TERHADAP NILAI PERUSAHAAN PADA SEKTOR PERUSAHAAN TRANSPORTASI YANG TERDAFTAR DI BEI (TAHUN 2019-2021)
Authors: Kamilah Fadhilatul
Published: August 2024

Penelitian ini bertujuan untuk menjelaskan signifikasi pengaruh profitabilitas, pertumbuhan dan ukuran terhadap nilai perusahaan pada perusahaan transportasi yang terdaftarkan di Bursa Efek Indonesia (BEI). Populasi pada penelitian ini didapat dengan mempergunakan metode purposive sampling pada perusahaan transportasi yang tercatat di Bursa Efek Indonesia (BEI) selama periode 2019-2021 dan berdasar pada kriteria yang sudah ditetapkan, sehingga didapatkan sebanyak 18 perusahaan. Sumber data yang dipergunakan pada penelitian ini ialah data sekunder. Regresi linear berganda yaitu metode yang dipakai untuk melaksanakan analisis data pada penelitian ini. Hasil penelitian mengungkapkan bahwasanya secara simultan profitabilitas, pertumbuhan dan ukuran berpengaruh signifikan terhadap nilai perusahaan. Sementara, profitabilitas dan ukuran secara parsial berpengaruh signifikan terhadap nilai perusahaan. Namun untuk pertumbuhan perusahaan secara parsial tidak berpengaruh signifikan terhadap nilai perusahaan.
Penerapan Data Mining Metode K-Nearest Neighbor Untuk Memprediksi Kelulusan Siswa Sekolah Menengah Pertama
Authors: Puspita Sari Desti , Shofia Hilabi Shofa , Agustia Hananto
Published: August 2024

Teknologi sudah menjadi kebutuhan penting bagi masyarakat yang mendukung segala aktivitas untuk mengefisienkan kelulusan mahasiswa dengan kartu kredit rata-rata, mengurangi permasalahan terkait prediksi kelulusan siswa, penerapan data mining untuk memprediksi kelulusan sekolah. Kebutuhan  data mining bermula dari banyaknya data yang dapat diambil informasi dan wawasan yang berguna.Berdasarkan hasil perhitungan yang dilakukan dengan menggunakan pemodelan orange, nilai rata-rata  siswa Kelas IX bervariasi dari 80 hingga 90, dan semua siswa dinyatakan LULUS karena nilai mereka memenuhi persyaratan kelulusan yang ditetapkan. berada di SMPN 3 Karawang Barat. Algoritma K-Nearest Neighbor berguna untuk memprediksi lulusan dalam jumlah besar karena pemrosesan data yang konsisten dari prediksi tersebut. Untuk penelitian selanjutnya, gunakan semua data siswa untuk memprediksi pertumbuhan kelas terhadap kelulusan siswa.
Akurasi Sensor TCS230 dalam Media Pembelajaran Bahasa Inggris
Authors: Aziz As'ad Shidqy , Tri Kristianti
Published: August 2024

Bahasa Inggris sebagai Bahasa Internasional diharapkan dapat memberikan kontribusi nyata bagi para generasi unggul di masa depan yang akan berkiprah dalam dunia Internasional. Salah satu strategi yang tepat untuk pendidikan anak usia dini dalam pembelajaran Bahasa Inggris adalah listen dan repeat. Sehingga, diperlukan media pembelajaran English Color Assistant untuk mendukung pembelajaran Bahasa inggris anak usia dini. Komponen utama yang digunakan untuk merealisasikan alat tersebut antara lain sensor TCS230 dan Arduino Uno. Hasil yang diperoleh dari perancangan dan pembuatan prototipe alat diantaranya data yang dihasilkan oleh sensor memiliki tingkat kepresisian yang tinggi yaitu dibawah 0,5. Akurasi alat dalam pembacaan warna sebesar 100% ketika tidak ada jarak antara alat dengan media yang dideteksi dan akurasi 90 % ketika terdapat jarak antara alat dengan media yang dideteksi
Fighting Egoism in Freedom of Religion and Belief (Case Study: Communities Around the Keraton Solo Hadiningrat)
Authors: Etikasari Agus Ratna
Published: August 2024

Freedom of religion and worship in accordance with religion and belief has been regulated in the 1945 Constitution of the Republic of Indonesia. Harmonization in respecting and respecting freedom of religion and worship must put aside egoism. The purpose of this study is to analyze examples of harmonization in freedom of religion and worship in a society that still maintains its beliefs but that still adheres the religion that is state-recognized religion. This study uses a qualitative method. Data collection was carried out through literature studies, participant observation, and interviews. The methods used to analyze the data are data reduction, data presentation, and drawing conclusions. The results of this study are: 1) Kejawen Islamic Society and Islamic Santri can tolerate and respect each other; 2) Kejawen Islamic Society and Islamic Santri have an understanding that worship is a personal or private matter between adherents of religions and God Almighty; and 3) A sense of egoism in society is put aside because of the understanding that the area is an area that historically and culturally has strong ties. The implication of this research is that it is an example for every society, which until now has still questioning the freedom of religion and belief of other people.
A Large-Scale Multi-Environment Study Dissecting Stripe Rust Resistance Haplotypes in Australian Wheat Breeding Populations
Authors: Van-Zivkovic Natalya Vo , Dinglasan Eric , Tong Jingyang , Watt Calum , Goody Jayfred , Mullan Daniel , Hickey Lee , Robinson Hannah
Published: August 2024

Wheat stripe rust (Puccinia striiformis) is a fungal disease responsible for substantial yield losses globally. To maintain crop productivity in future climates, the identification of genetics offering durable resistance across diverse growing conditions is crucial. To stay one-step ahead of the pathogen, Australian wheat breeders are actively selecting for adult plant resistance (APR), which is considered more durable than seedling resistance. However, deploying resistance that is stable or effective across environments and years is challenging as expression of underling APR loci often interact with environmental conditions. To explore the underlying genetics and interactions with the environment for stripe rust resistance, we employ haplotype-based mapping using the local GEBV approach in elite wheat breeding populations. Our multi-environment trial (MET) analyses comprising 35,986 inbred lines evaluated across 10 environments revealed significant genotype by environment (GxE) interactions for stripe rust. A total of 32 haploblocks associated with stripe rust resistance were identified, where 24 were unique to a specific environment and 7 were associated with stable resistance across environments. Population structure analysis revealed commercial or advanced breeding lines carried desirable resistance haplotypes, highlighting the opportunity to continue to harness and optimise resistance haplotypes already present within elite backgrounds. Further, we demonstrate that in-silico stacking of multiple resistance haplotypes through a whole-genome approach has the potential to substantially improve resistance levels. This represents the largest study to date exploring commercial wheat breeding populations for stripe rust resistance and highlights the breeding opportunities to improve stability of resistance across and within target environments.
Predictive Analytics in Healthcare: A Hybrid Model for Efficient Medical Cost Estimation for Personalized Insurance Pricing
Authors: Bhargavi R. , Arumugam Subramanian
Published: August 2024

Predictive analytics in healthcare enables personalized insurance pricing by analyzing diverse datasets, including patient histories and treatment outcomes. In the recent years, Machine Learning (ML) models and statistical approaches are used to enhance predictive analytics in healthcare by accurately identifying individual risk factors and forecasting medical costs from complex datasets, enabling more personalized insurance pricing. However, these models are not adept in capturing the intricate relationships between linear and non-linear patterns within healthcare data. This limitation can restrict their effectiveness in personalizing insurance pricing to the fullest extent, underscoring the need for innovative solutions that can bridge this gap. This paper presents the Linear Regression-Gaussian Deep Belief Network (LR-GDBN), a hybrid predictive model developed to improve healthcare analytics by accurately forecasting medical costs. This model effectively captures linear and non-linear patterns in healthcare data, surpassing traditional methods. LR-GDBN is evaluated with a standard dataset, and it demonstrates a low prediction error of 0.4926 surpassing conventional statistical and machine learning models. Unlike the state-of-the-art models capable of handling only non-linear health data in insurance pricing, this model featuring ability to handle linear and non-linear data is unique of its kind in the domain of healthcare underwriting.
The Effect of obesity on dental caries: A mendelian randomization study
Authors: Tan Li , Wang Mei , Liu Qiong , Chen Yun , Zhao Ya-Qiong , Zhao Jie , Aimee Dusenge Marie , Feng Yao , Ye Qin , Hu Jing , Ou-Yang Ze-Yue , Guo Yue , Feng Yun-Zhi
Published: August 2024

Background
Clinical and retrospective studies suggest obesity increases the risk of dental caries, but causal mechanisms remain unclear. We employed the Mendelian randomization (MR) method to explore obesity's potential causal link to dental caries.
Methods
We extracted body mass index (BMI) and waist circumference (WC) data from the IEU OpenGWAS project database. These data were used to identify single-nucleotide polymorphisms (SNPs) associated with obesity as instrumental variables. Additionally, dental caries data were extracted from the same database. Using the R package ‘TwoSampleMR’, we conducted inverse-variance weighted (IVW) analyses and various sensitivity analyses to assess the impact of obesity on dental caries.
Results
The IVW analysis indicated that every 1-SD increase in BMI was associated with a higher incidence of dental caries (odds ratio [OR] = 1.286; 95% confidence interval [CI] = 1.122–1.474; P = 2.94E-04), as was every 1-SD increase in WC (OR = 1.242; 95% CI = 1.032–1.496; P = 2.20E-02). These findings were consistent across additional MR sensitivity analyses.
Conclusion
Our results provide evidence of a probable causal relationship between genetic susceptibility to obesity and an increased risk of dental caries. Therefore, individuals with obesity should take preventive measures to reduce the risk of dental caries.
Abstracting General Syntax for XAI after Decomposing Explanation Sub-Components
Authors: Wormald Stephen , Maldaner Matheus Kunzler , O'Connor Kristian D. , Dizon-Paradis Olivia P. , Woodard Damon L.
Published: August 2024

Policy makers, healthcare providers, and defense contractors need to understand many types of machine learning model behaviors. While eXplainable Artificial Intelligence (XAI) provides tools for interpreting these behaviors, few frameworks, surveys, and taxonomies produce succinct yet general notation to help researchers and practitioners describe their explainability needs and quantify whether these needs are met. Such quantified comparisons could help individuals rank XAI methods by their relevance to use-cases, select explanations best suited for individual users, and evaluate what explanations are most useful for describing model behaviors. This paper collects, decomposes, and abstracts subcomponents of common XAI methods to identify a mathematically grounded syntax that applies generally to describing modern and future explanation types while remaining useful for discovering novel XAI methods. The resulting syntax, introduced as the Qi-Framework, generally defines explanation types in terms of the information being explained, their utility to inspectors, and the methods and information used to produce explanations. Just as programming languages define syntax to structure, simplify, and standardize software development, so too the Qi-Framework acts as a common language to help researchers and practitioners select, compare, and discover XAI methods. Derivative works may extend and implement the Qi-Framework to develop a more rigorous science for interpretable machine learning and inspire collaborative competition arcoss XAI research.
Alignment of RNA Secondary Structures with Arbitrary Pseudoknots using Structural Sequences
Authors: Tesei Luca , Levi Francesca , Quadrini Michela , Merelli Emanuela
Published: August 2024

Background. RNA secondary structure comparison is important for RNA classification, RNA structure prediction and for the study of evolution. Comparison can be done efficiently only for pseudoknot-free structures, while alignment of pseudoknots is more computationally challenging.
Results. In this work, we start from the already introduced idea of representing RNA secondary structures with arbitrary pseudoknots using structural trees and introduce an alternative representation using sequences of integers. Each structure is associated with a unique structural sequence by identifying the way in which arcs interact in the arc diagram of the structure. Using a variant of classical edit distance, we define a new measure of dissimilarity called SERNA distance between abstractions of RNA secondary structures in which sequence is neglected and unpaired nucleotides are collapsed together to form a context.SERNA distance is then shown to be a metric, and the SERNAlign tool, based on dynamic programming, is introduced to calculate the distance and align structural sequences. SERNAling is shown to be more efficient than the tool using the structural tree approach. The level of abstraction of structural sequences is also more precise than the one of structural trees. Finally, we apply SERNA distance and agglomerative clustering to reconstruct the phylogeny of a dataset of ribosomal RNAs. We show that the performance of the reconstruction is similar to that obtained using the distance based on structural trees.
Conclusions. Structural sequences and the associated SERNA distance allow one to compare the secondary structures of the RNA with arbitrary pseudo-knots efficiently ($O(n^2$)). From a biological point of view, the distance reflects in a good way the phylogenetic classification of a curated taxonomy. The results on taxa reconstruction are similar to (or better than) the ones obtained using other tools in the literature that are able to compare pseudoknotted structures.
physical activity Reduces the Risk of Metabolic Syndrome and Circadian Syndrome - A Cross- Sectional Study from the NHANES Database 2007-2018
Authors: Lv XiaoHeng , Zhu XiaoYing
Published: August 2024

Background
Circadian syndrome (CircS) and metabolic syndrome (MetS) are closely associated with cardiovascular disease. physical activity has been proved to ameliorate the MetS, however, its association with CircS, as well as CircS comorbid MetS, is largely obscured.
Objective
To investigate the association between physical activity on MetS, CircS, and their comorbidity.
Methods
The associations and dose-response relationships between physical activity and MetS, CircS, and their comorbidity were analyzed using univariate and multivariate logistic regression, restricted cubic spline (RCS), and subgroup analyses.
Results
After adjusting for confounders, higher levels of physical activity were significantly associated with the risks of MetS, CircS, and the comorbidity (0.87 (0.77 ~ 0.99), p = 0.034; 0.85 (0.74 ~ 0.98), p = 0.027; and 0.87 (0.75 ~ 0.98), p = 0.026).The results of RCS suggested that MetS risk decreases with the increase of physical activity (p for overall < 0.001, p for nonlinear < 0.001), whereas CircS, and its comorbidity of MetS, shown a nonlinear trend from decreasing to increasing (p for overall < 0.001, p for nonlinear < 0.001), with the increasing physical activity. Subgroup analyses showed that increased physical activity was associated with a decreased risk of CircS and comorbidity in middle-aged and older adults, women, higher education population, low-income population, the non-obese, non-smokers, and non-drinkers.
Conclusion
physical activity could ameliorate MetS, CircS, and their comorbidity, especially for the middle-aged and married people as well as those with higher education, which provides a reference for early prevention of metabolism-related diseases in specific populations.