bluuebunny/crossref_metadata_2025 huggingface dataset:
الدينامية الحضرية والموارد المائية بمدينة مراكش بين الندرة والاستهلاك: نموذج محلات غسل السيارات بمنطقة المحاميد
Authors: الغوات نرجيس , بلفقيه عبد الصادق
Published: October 2024

عرفت مدينة مراكش بأنها دينامية حضرية كبيرة، ساهمت في توسيع مجالها، لكن هذا بطبيعة الحال كان له أثر كبير على المستوى البيئي، فإن الموارد المائية الخاصة بالمدينة شهدت تراجعا كبيرا في مختلف المناطق داخل المدينة، فإذا أخذنا على سبيل المثال منطقة المحاميد التي عرفت تطورا كبيرا على مستوى المشهد الحضري بها، فإذ أدى إلى زيادة في السكان وأيضا تزايد كبير في الأنشطة الاقتصادية خصوصا الأنشطة التي تستهلك المياه بشكل كبير، مما جعل المنطقة تفقد جزءًا كبيرًا من مواردها المائية بسبب ارتفاع الطلب وانخفاض العرض.
إن موضوع الدينامية الحضرية والموارد المائية بين الندرة والاستهلاك هو موضوع متعدد الأطراف، لكونه يشمل مجموعة من المجالات، لذلك سوف نعمل من خلال هذا المقال على الإجابة عن إشكالية، كيف يمكن ترشيد المياه مقابل دينامية حضرية سريعة؟
 
Marrakech has experienced great urban dynamics, contributed to the expansion of the urban area, but of course, this extension has significant impact on the environmental level, especially water resources which has experienced a significant decline in various districts of the city. If we take, for example, the area of ​​Mhamid, which has seen great development in the urban landscape, it has led to population growth and a significant increase in economic activities, in particular, those that consume a lot of water; the thing that has caused the area to lose a significant share of its water resources due to high demand and declining supply.
The subject of urban dynamics and water resources between scarcity and consumption is a multifaceted because it involves multiple areas. Through this article, we will try to address the problem of how to rationalize the uses of water in the face of rapid urban dynamism?
استراتيجيات تنمية الموارد البشرية
Authors: سعيد ميمونة , صالح سلمى
Published: October 2024

تناولت الدراسة استراتيجيات تنمية الموارد البشرية، وهدفت الدراسة إلى التعرف على مفهوم الموارد البشرية، ومكونات وأهداف وأهمية الموارد البشرية، التطور التاريخي للموارد البشرية واستراتيجيات وطرق تنمية الموارد البشرية وتحدياتها. تمثلت مشكلة الدراسة في أن التطور المتسارع الذي يشهده العالم في مجال العمل، يحتاج إلى ضرورة وجود استراتيجيات واضحة لتنمية الموارد البشرية، حتى تواكب هذا التطور، وعلى هذا جاء السؤال الرئيس محل الدراسة متلخصاً في: ما هي استراتيجيات وطرق تنمية الموارد البشرية؟ ومنه تفرعت عدة أسئلة، منها: ما هو مفهوم الموارد البشرية؟ ما هي مراحل تطور الموارد البشرية؟ ما هي أهداف وأهمية الموارد البشرية؟. للإجابة على التساؤلات اعتمدت الدراسة على المنهج التاريخي، والمنهج الوصفي. توصلت الدراسة لعدة نتائج منها: نجاح المنظمات والمجتمع ككل مرتبط بتدريب الأفراد، ومدى فاعلية تنفيذ هذا النشاط، ونجاحه في تحقيق أهدافه. تمثل استراتيجية إدارة الموارد البشرية نظاماً متكاملاً يؤثر كل عنصر فيه على الآخر وبشكل تتابعي. قدمت الدراسة مجموعة توصيات، منها: الاعتماد على التوجه الاستراتيجي لتنفيذ سياسات الموارد البشرية. الاهتمام بالتطورات والتقنيات التكنلوجية الحديثة واستخدامها عند تحديد الاستراتيجيات وتوظيفها لتطوير العاملين. الكلمات المفتاحية: استراتيجيات، تنمية، موارد بشرية
The study dealt with human resources development strategies. The aim of the study was to identify the concept of human resources, the components of human resources, their objectives and importance, the historical development of human resources, and the strategies and challenges of human resources development. The problem of the study was that the miraculous development that the world has witnessed in the field of work requires the presence of sufficient human resources for this development to take place. For this reason, the main question under study was summarized in: What are the strategies and methods for developing human resources? From this, several questions emerged, including: What is the concept of human resources? What are the stages of human resources development? What are the objectives and importance of human resources? To answer the questions, the study relied on the historical and descriptive approaches. The study reached several results, including: The success of organizations and society as a whole is linked to training individuals, the effectiveness of implementing this activity, and its success in achieving its goals. The human resources management strategy represents an integrated system in which each element affects the other in a sequential manner. The study presented a set of recommendations, including: relying on the strategic direction to implement human resources policies. Paying attention to modern technological developments and techniques and using them when determining strategies and employing them to develop employees. Keywords: strategies, development, human resource.
CİNSEL SALDIRI VE ÇOCUKLARIN CİNSEL İSTİSMARI SUÇLARINDA SARKINTILIK DÜZEYİ (TCK m. 102/1-c. 2 ve TCK m. 103/1-c. 2)
Authors: Kaşlı Dr. Enver
Published: October 2024

Sarkıntılık fiilleri, eski dönemlerden günümüze kadar birçok toplumda suç olarak kabul edilmiştir. Sarkıntılık Türk Ceza Hukukuna ilk kez 1933 yılında girmiştir. 5237 sayılı TCK’nın ilk halinde sarkıntılık kavramına yer verilmemiş olup 2014 yılında cinsel saldırı ve çocukların cinsel istismarı suçlarına “sarkıntılık düzeyi” olarak eklenmiştir. Sarkıntılık düzeyinin en belirleyici iki özelliği bulunmaktadır. İlk husus, fiilin mağdurun vücut bütünlüğünü ihlal edip etmediğidir, yani temastır. Sarkıntılık, bedensel temas yönüyle cinsel saldırı ve istismar suçlarına benzese bile “ani nitelikli” olması yönüyle suçun temel halinden ayrılmaktadır. Mağdura anlık olarak gerçekleştirilen sarkıntılıkta, failin cebre başvurmaması gerekir. Sarkıntılık ile basit cinsel saldırı veya istismar suçlarının iç içe olması bu suçlar arasında ayrım yapmayı zorlaştırmaktadır. Eğer fail, cinsel davranışı gerçekleştirirken mağdurun direnişini kırmaya çalışıyorsa sarkıntılık düzeyinin aştığı kabul edilmelidir. Sarkıntılığın ayrı bir suç olarak düzenlenmemesi beraberinde suçun nitelikli hal hükümlerinin uygulanmasında, teşebbüsün değerlendirilmesinde, suçun muhakemesinde, zamanaşımı süresinde tartışmalara neden olmaktadır.
TÜRK BORÇLAR KANUNU M. 344/III İLE M. 138 ARASINDAKİ İLİŞKİ ÇERÇEVESİNDE KONUT KİRA SÖZLEŞMESİNDE KİRA BEDELİNİN UYARLANMASI
Authors: Tat Orkun
Published: October 2024

Konut kira sözleşmelerinin uyarlanması günümüzde yaşanan ekonomik sorunlardan dolayı sıklıkla gündeme gelmektedir. 11.06.2022 tarihi ile 01.07.2024 tarihleri arasında konut kira bedeline ilişkin uygulanan %25’lik artış sınırı, özellikle kiraya verenler tarafından kira bedelinin artırılmasına yönelik girişimleri hızlandırmıştır. Kira bedelinin artırımı konusunda Türk Borçlar Kanunu m. 344/III hükmü ile Türk Borçlar Kanunu m. 138 hükmü önem arz etmektedir. Türk Borçlar Kanunu m. 344/III hükmü, beş yıllık süre şartının sağlanmasının ardından, kira bedelinin tüketici fiyat endeksindeki on iki aylık değişim oranı, kiralanın durumu ve emsal kira bedeli dikkate alınarak hâkim tarafından tespit edilebilmesini sağlamaktadır. Bu düzenleme beş yıllık bir süreden sonra, kiralananın kira bedelinin emsallerinin çok altında kalmasını engellemekte ve edimler arasındaki dengeyi sağlamaktadır. Türk Borçlar Kanunu m. 138 hükmü ise bir süre şartı aramamakta, sözleşmenin kurulmasından sonra meydana gelen olağanüstü olaylar nedeniyle yaşanan aşırı ifa güçlüğünün giderilmesi, bozulan edim dengesinin tekrar sağlanması, eğer bu mümkün değilse borçluya sözleşmenin sona erdirilmesi imkânını tanımaktadır. Türk Borçlar Kanunu m. 138 çerçevesinde farklı şekillerde uyarlama söz konusu olabilmekte ise de en çok rastlanan uyarlama türü kararlaştırılan bedelin artırımıdır. Bu nedenle her iki hüküm de kira bedelinin artırılmasına yönelik bir sonucun doğmasına imkân vermektedir. Aynı amaca hizmet eden bu iki hükmün birlikte değerlendirilmesi ve aradaki sınırın belirlenmesi, somut uyuşmazlığa uygulanması gereken hükümlerin tespit edilmesi noktasında önem arz etmektedir.
HANEFİ GELENEĞİNDE MÜFTÜNÜN HAREKET TARZI
Authors: Yıldırım Serhan
Published: October 2024

Bu makale, Hanefi geleneğinde müftünün fetva verme sürecini ve hareket tarzını teorik düzeyde incelemektedir. Hanefi geleneğinde fetva verme pratiği, kurucu İmam Ebu Hanife ve öğrencileri Ebu Yusuf ile İmam Muhammed’in görüşlerine dayanan bir hiyerarşi içinde şekillenmiştir. Bu hiyerarşi, mezhebin içtihat sistematiğinde ve fetva verme sürecinde belirleyici olmuştur. Müçtehit müftüler, içtihatta bulunma yetkinliğine sahip oldukları için zamanın şartlarına ve toplumsal ihtiyaçlara uygun fetvalar verebilme esnekliğine sahiptir. Buna karşın mukallit müftüler, önceki müçtehitlerin görüşlerini esas alarak ve mezhebin kurucuları tarafından belirlenen ana ilkeler doğrultusunda fetva verirler. Çalışmanın bulguları, Hanefi geleneğinde fetva verme sürecinin dinamik ve evrimsel bir yapıya sahip olduğunu ortaya koymaktadır. Sosyal, ekonomik ve siyasi koşulların değişmesiyle birlikte, fetva verme süreci de bu değişimlere uyum sağlamaktadır. Müftünün fetva verirken toplumsal değerler, zaruret halleri ve amme maslahatı gibi unsurları dikkate alması, fetvaların güncel koşullara uygun olmasını ve mezhebin temel prensiplerine sadık kalmasını temin etmektedir. Özellikle müçtehit ve mukallit müftüler arasındaki farklar, bir taraftan fetva verme sürecinin esnekliğini ve değişen şartlara duyarlılığını gösterirken mezhep içi tutarlılık ve durağanlığı da gözler önüne sermektedir. Bu bağlamda, Hanefi geleneğinde fetva verme sürecinin mezhep içi gelenekte durağanlık ve dinamiklik arasında nasıl bir denge-düzen ortaya koyduğu üzerinde durulmuştur.
MASALAH EKONOMI DAN KORUPSI : BAGAIMANA HUBUNGAN KAUSALITASNYA?
Authors: Aji Nur aziz sya'bani
Published: October 2024

Korupsi menjadi masalah yang belum ada solusinya dan menganggu perekonomian negara Indonesia. Kemiskinan, pengangguran, dan inflasi adalah masalah ekonomi yang terus terjadi di Indonesia. Namun yang sering menjadi pertanyaan apakah ada keterkaitan antara Korupsi dengan masalah ekonomi tersebut atau tidak. Oleh karena itu penelitian ini bertujuan untuk mengetahui apakah ada hubungan kausalitas antara korupsi dengan masalah ekonomi di Indonesia. Penelitian ini menggunakan data dari BPS, KPK dan situs resmi lainnya yang menyediakan data mengenai topik yang dibahas. Analisis data menggunakan metode kuantitatif melalui analisis regresi yang menghasilkan bahwa korupsi tidak berpengaruh secara signifikan terhadap kemiskinan dan juga pengangguran, namun korupsi memiliki pengaruh yang besar dan signifikan terhadap inflasi. Peneliti menyarankan untuk mempertimbangkan variabel korupsi dalam memprediksi tingkat inflasi di masa yang akan mendatang karena pengaruh korupsi yang sangat besar terhadap inflasi serta diharapkan penelitian selanjutnya dapat menambahkan lebih banyak variabel yang sekiranya memiliki hubungan kausalitas dengan korupsi.
FENOMENA BERBURU TAKJIL DALAM MENINGKATKAN TOLERANSI DI INDONESIA SEBAGAI IMPLEMENTASI NILAI PANCASILA
Authors: Febriyanti Olivia Dwi , Hasasah Nadiatul , Rahmadhanti Karina Oktavia , Puspita Ari Metalin Ika
Published: October 2024

Indonesia is a country that has many tribes, races, and religions. However, the existence of many of these differences makes Indonesia a country rich in diversity. The phenomenon that has emerged recently is the "war takjil" that occurs between Muslims and non-Muslims. The phenomenon of "takjil" itself is a practice that has been carried out for a long time in Indonesia, especially during the fasting month. Takjil is a traditional practice that strengthens social ties and brings people closer, a practice that has been carried out for a long time in Indonesia, especially during the fasting month. In the holy month of Ramadan, takjil has its own meaning because it not only marks the end of fasting, but also fosters a sense of togetherness and unity among people from various backgrounds. This study discusses the phenomenon of hunting takjil in Ramadan with the object of users of the Tiktok and YouTube platforms that are specifically for people of religions other than Islam. The purpose of this study is to encourage the community to strengthen tolerance, social relations between religious communities can be well established and other good influences that affect the form of implementation in values in the form of pancasila. The method used in this study is a descriptive qualitative research method, in the form of quotes in narratives available in data in the form of videos from the Tiktok and YouTube platforms. The results showed that many religious people other than Islam also hunt takjil in Ramadan so as to make the interaction that occurs between communities harmonious and full of positive energy. It is also well rated by some religious leaders because it is considered to bring happiness and beauty.
PENERAPAN PEMBELAJARAN DIRECT INSTRUCTION BERBANTUKAN CHATBOT NUTA UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA MATA PELAJARAN PPKN
Authors: Hasan Ariefien Ilham  , Budiyono  , Ratna Puspa Darmawati
Published: October 2024

Penelitian ini dilatar belakangi oleh sebagian besar siswa kelas 7B yang mengalami kesulitan dalam memahami materi Keragaman Suku dan Budaya yang dibuktikan dengan rendahnya nilai ulangan harian yang berada di bawah KKM. Untuk itu, penelitian ini bertujuan untuk mengetahui peningkatan hasil belajar siswa setelah mengikuti pembelajaran dengan model direct instruction berbantukan chatbot Nuta. Penelitian ini menggunakan metode Penelitian Tindakan Kelas (PTK) yang dilaksanakan secara kolaboratif dan melalui empat siklus secara bertahap, yang dimulai dari perencanaan, pelaksanaan, observasi dan merefleksikan. Hasil penelitian menunjukkan adanya peningkatan yang signifikan pada hasil belajar siswa. Persentase ketuntasan belajar meningkat mulai dari pratindak sebesar 32% dengan nilai rata-rata 62,4, siklus I sebesar 64% dengan nilai rata-rata 76,4, dan siklus II sebesar 92% dengan nilai rata-rata 89,2. Dengan demikian, penerapan pembelajaran langsung berbantukan chatbot Nuta terbukti efektif dalam meningkatkan hasil belajar siswa pada materi Keragaman Suku dan Budaya.
INTERNALISASI NILAI-NILAI PANCASILA DALAM KEGIATAN EKSTRA KURIKULER
Authors: Tafonao Hedrianus
Published: October 2024

Pancasila is the evolution of the noble principles adhered to by the Indonesian people which are universally recognized and become the basis for all other sources. Chosen by non-Western countries or nations, Pancasila is the paradigmatic direction of science, especially the social sciences. Because non-Western countries have different histories, cultures, and ways of life, they must engage with contemporary science. Ranto stated that (2012:1). "The life of the nation and the foundation of the state is Pancasila." what Bung Karno then proposed as the basis for an independent Indonesian state, before the BPUPKI session on June 1 1945. Pancasila is an ideology and philosophy that embodies the identity and vision of the Indonesian nation. Descriptive research with a qualitative approach is the methodology used in this research. The data sources for this research are the school principal, a teacher, and four (four) students who act as informants. Steps one to three of the data collection process are observation, interviews, and documentation research. Through three activity streams, data analysis is completed. Data reduction, data presentation, and conclusions are the first three steps. Apart from being a vital resource for students, teachers also help students become superior humans by using Pancasila Values to humanize themselves. Without teachers, students will only determine the direction of their lives.
The PENGEMBANGAN TEKS LAPORAN PENELITIAN DALAM PENYUSUNAN HISTORIOGRAFI SEJARAH
Authors: Adilla Aura Putri  , Fitri Nurjihan  , Rieke Corry Betsena Br. Tarigan  , Ika Febriana
Published: October 2024

Research reports are important in the preparation of historical writing. Through the research report, we can pour the flow of history that occurs based on historical writing methods, such as heuristics, criticism (verification), interpretation, and historiography (the stage of writing history). By following the historical writing method, it can then be developed and compiled in the form of a research report. The writing of this article uses a descriptive method with a qualitative approach and uses the literature study method. The literature study method is a research method by collecting library data and processing the data. Historiography is the result or work of historical writing. This historiography uses research methods to communicate the results of research that are tested, revealed, and interpreted. Historians in pouring the results of their research into the text of their reports or scientific works must comply with applicable historical writing rules. Historiography is historical writing that is preceded by research (analytical) of events in the past. The subject matter in historiography talks about the history of historical writing or in a more practical context it can be understood.
ANALISIS PEMAHAMAN SISWA PADA MATERI SEL TERHADAP PENERAPAN KURIKULUM 2013 PADA SISWA KELAS XI SMA SWASTA KAMPUS TELUK DALAM
Authors: Nita Dewi Tafonao
Published: October 2024

This research aims to analyze students' understanding of cell material towards the implementation of the 2013 curriculum in class XI students at the Teluk Dalam Campus private high school. The type of research used in this research is qualitative research with a descriptive approach by conducting a study of the data obtained. Data collection in this research was by direct interviews with teachers and students. The data analysis used is data reduction, data presentation, and drawing conclusions. Based on the results of the research above which has been carried out by researchers, it can be seen that students' understanding of cell material towards the implementation of the 2013 curriculum in class This cannot be separated from the teacher's role in implementing a creative and innovative learning process through learning models and methods as well as the curriculum applied in the teaching and learning activities carried out. From the results of observations that have been made through tests, especially on cell material with the implementation of the 2013 curriculum, students do not experience problems in solving the questions given.
IDENTIFIKASI KESULITAN BELAJAR MATERI STRUKTUR FUNGSI JARINGAN TUMBUHAN PADA SISWA KELAS X SMA
Authors: Laia Yetti Mani Dewi Sartika
Published: October 2024

This study aims to identify the Learning Difficulties of Students in the Material of Plant Tissue Structure and Function in Grade X Students at SMA Negeri 1 Amandaraya for the 2022/2023 Academic Year. The approach used in this research is qualitative, employing a descriptive research type that describes, analyzes, and interprets existing data. Qualitative research is a method aimed at gaining an understanding of reality through an inductive thinking process. The results obtained during the research activities include: (1) suboptimal intelligence among students, (2) attitudes toward learning, (3) learning motivation, (4) concentration in learning, and (5) study habits. The conclusion of this research indicates that students experience several difficulties in participating in classroom learning activities, influenced by both internal and external factors. Internal factors include fatigue, health/stability, and psychological factors such as interest, talent, motivation, and concentration. External factors encompass family influences, including parenting styles, family relationships, home environment, school factors such as teaching methods/teacher relationships, and societal factors including mass media and peer interactions. The researcher recommends that: (1) to succeed in learning and avoid difficulties, students should enhance their motivation, concentration, response, understanding of the material, and strive for maximum grades. Students should also choose beneficial activities to engage in at home for study purposes, (2) teachers should optimize the potential of both struggling and non-struggling students by incorporating more engaging teaching media and activities, and (3) parents should be more assertive in guiding their children at home to ensure they study regularly and engage in more beneficial activities.
EXPLORING LOCAL WISDOM VALUES OF SOUTH NIAS FOR THE DEVELOPMENT OF A CONSERVATION-BASED SCIENCE CURRICULUM
Authors: Harefa Darmawan
Published: October 2024

This study aims to explore the local wisdom values of the Nias Selatan community and investigate the potential integration of these values into a conservation-based Science curriculum. The method employed is literature study, which includes the analysis of documents, articles, and relevant sources regarding local wisdom and environmental education. The results indicate that the local wisdom of Nias Selatan, such as sustainable agricultural practices and marine resource management, embodies important values that align with conservation principles. Integrating these values into the Science curriculum can not only enhance students' understanding of the environment but also foster a caring attitude towards sustainability. Despite challenges in implementation, such as a lack of resources and teacher training, recommendations for the development of a conservation-based curriculum are proposed. This research is expected to contribute to efforts in environmental preservation and the development of relevant education in Nias Selatan.
Effect of dietary supplementation of rubber seed kernel pellet on feed utilization, rumen fermentation, fatty acid profiles and health status in swamp buffalo
Authors: Gunun Nirawan , Kaewpila Chatchai , Khota Waroon , Kimprasit Thachawech , Gunun Pongsatorn
Published: October 2024

Objective: Rubber seed kernel is a by-product of rubber cultivation and are high in oil and protein. This study was conducted to evaluate the effect of supplementing rubber seed kernel pellet (RUSKEP) on feed intake, nutrient digestibility, rumen fermentation, rumen fatty acid profiles, blood parameters, and immune response in swamp buffalo.Methods: Four male swamp buffalo with an initial body weight (BW) of 254±10 kg and 26 months of age were used in this research. The experimental design was a 4×4 Latin squared design with RUSKEP supplementation at 0%, 4%, 6%, and 8% of dry matter intake (DMI). Animals were fed concentrate at 1.0% BW, while rice straw was fed ad libitum.Results: Supplementation with RUSKEP did not change DMI or nutrient digestibility (p>0.05), while ether extract digestibility increased cubically with the addition of RUSKEP (p<0.01). The ruminal pH, ammonia-nitrogen (NH3-N), and the proportion of acetate (C2) were similar among treatments (p>0.05). The proportion of propionate (C3) increased linearly (p≤0.04), leading to a decrease in the acetate to propionate ratio (C2:C3) (p≤0.04) with the addition of RUSKEP. Furthermore, the butyrate (C4) proportion decreased linearly with RUSKEP supplementation (p = 0.03). The addition of RUSKEP did not affect on linoleic acid (C18:2 cis-9,12+trans-9,12), or α-linolenic acid (C18:3 cis9,12,15) (p>0.05). With RUSKEP supplementation, the stearic acid (C18:0) content increased quadratically (p<0.01). The increasing level of RUSKEP was higher in cholesterol and eosinophils (p≤0.03). The immune function (IgA, IgM, and IgG) was similar among treatments (p>0.05).Conclusion: Supplementing RUSKEP with up to 8% of DMI could improve rumen fermentation efficiency without affecting feed utilization, rumen PUFA profile, or immune response in swamp buffalo.
Transcriptome analysis of liver and ileum reveals potential regulation of long non-coding RNA in pigs with divergent feed efficiency
Authors: Zhao Zhenjian , Wang Shujie , Wang Kai , Ji Xiang , Chen Dong , Shen Qi , Yu Yang , Cui Shendi , Wang Junge , Chen Ziyang , Tang Guoqing
Published: October 2024

Objective: Long non-coding RNA (LncRNA) plays a significant role in regulating feed efficiency. This study aims to explore the key lncRNAs, associated genes, and pathways in pigs with extreme feed efficiencies.Methods: We screened pigs with extremely high and low residual feed intake through a 12-week animal growth trial and then conducted transcriptome analysis on their liver and ileum tissues. We analyzed the differential expressed lncRNAs, microRNAs (miRNAs), and messenger RNAs through target gene prediction and functional analysis. And we identified key lncRNAs and their potential regulatory genes associated with feed efficiency through the construction of competitive endogenous RNA network.Results: Differentially expressed lncRNAs were pinpointed in the liver, revealing 23 crucial target genes primarily associated with guanosine triphosphate metabolism and glycolipid biosynthesis. In the ileum, a screening identified 92 pivotal target genes, mainly linked to lipid and small molecule metabolism. Moreover, LOC106504303 and LOC102160805 emerged as potentially significant lncRNAs respectively, playing roles in mitochondrial oxidative phosphorylation in the liver, and lipid and cholesterol metabolism in the ileum.Conclusion: The lncRNAs regulate energy metabolism and biosynthesis in the liver, and the digestive absorption capacity in the small intestine, affecting the feed efficiency of pigs.
Effects of fig and pineapple powder on metabolite compounds and health-promoting properties in fermented goat meat sausage
Authors: Aung Shine Htet , Nimantha Rupasinghe Ramesh , Choi Young-Sun , Jang Aera , Lee Jun Heon , Nam Ki-Chang
Published: October 2024

Objective: The objective of this research was to identify the metabolite compounds and health-promoting properties of goat meat fermented sausages containing different amounts of fig and pineapple powder (0.1%, 0.25%, and 0.5%), which are presented by F1, F2, F3 and P1, P2, P3, separately.Methods: Fermented sausages were manufactured from the lean meat of female goats. The samples extracted from the goat meat fermented sausages were evaluated for their metabolite compounds, antioxidants, and angiotensin-converting enzyme inhibitory activity.Results: The results showed that the diphenyl picrylhydrazyl radical scavenging activity, azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) radical scavenging activity, and angiotensin-converting enzyme inhibitory activity were the highest in F3 (p<0.05), whereas the hydroxyl radical scavenging capacity was the highest in P3 (p<0.05). In addition, F3 and F2 showed the highest superoxide anion radical scavenging activity (p<0.05), whereas F3 and P3 showed the highest copper chelating activity (p<0.05). Based on the metabolite compounds, hydrophobic amino acids, aromatic amino acids, and bitter amino acids were abundant in F3. Both F3 and P3 contained high concentrations of umami-producing compounds.Conclusion: The incorporation of 0.5% fig powder into goat meat fermented sausage showed improved biological activities based on metabolite compounds.
Chatbots in medicine: certification process and applied use case
Authors: Nehme Mayssam , Schneider Franck , Amruthalingam Esther , Schnarrenberger Elio , Trëmeaud Raphaël , Guessous Idris
Published: October 2024

Chatbots are computer programs designed to engage in natural language conversations in an easy and understandable way. Their use has been accelerated recently with the advent of large language models. However, their application in medicine and healthcare has been limited due to concerns over data privacy, ther risk of providing medical diagnoses, and ensuring regulatory and legal compliance. Medicine and healthcare could benefit from chatbots if their scope is carefully defined and if they are used appropriately and monitored long-term.
The confIAnce chatbot, developed at the Geneva University Hospitals and the University of Geneva, is an informational tool aimed at providing simplified information to the general public about primary care and chronic diseases. In this paper, we describe the certification and regulatory aspects applicable to chatbots in healthcare, particularly in primary care medicine. We use the confIAnce chatbot as a case study to explore the definition and classification of a medical device and its application to chatbots, considering the applicable Swiss regulations and the European Union AI Act.
Chatbots can be classified anywhere from non-medical devices (informational tools that do not handle patient data or provide recommendations for treatment or diagnosis) to Class III medical devices (high-risk tools capable of predicting potentially fatal events and enabling a pre-emptive medical intervention). Key considerations in the definition and certification process include defining the chatbot’s scope, ensuring compliance with regulations, maintaining security and safety, and continuously evaluating performance, risks, and utility. A lexicon of relevant terms related to artificial intelligence in healthcare, medical devices, and regulatory frameworks is also presented in this paper.
Chatbots hold potential for both patients and healthcare professionals, provided that their scope of practice is clearly defined, and that they comply with regulatory requirements. This review aims to provide transparency by outlining the steps required for certification and regulatory compliance, making it valuable for healthcare professionals, scientists, developers, and patients.
Corrosion resistance in LNG plant design: Engineering lessons for future energy projects
Authors: Ovie Vincent Erhueh  , Chukwuebuka Nwakile  , Oluwaseyi Ayotunde Akano  , Andrew Emuobosa Esiri  , Enobong Hanson
Published: October 2024

Corrosion resistance is a critical consideration in the design and operation of liquefied natural gas (LNG) plants, where harsh environmental conditions and aggressive chemicals can significantly impact asset integrity and safety. This paper explores engineering lessons learned from past LNG projects, emphasizing the importance of corrosion management strategies to enhance the longevity and reliability of energy infrastructure. The study highlights key factors contributing to corrosion in LNG facilities, including materials selection, environmental exposure, and operational practices. By employing advanced materials such as corrosion-resistant alloys and coatings, engineers can mitigate corrosion risks, leading to reduced maintenance costs and extended equipment lifespan. The paper examines successful case studies where proactive corrosion management has been implemented, showcasing innovative engineering solutions such as cathodic protection, corrosion monitoring systems, and design modifications that enhance resistance to corrosion-related failures. Furthermore, it addresses the role of regular inspections, predictive maintenance, and risk-based approaches in identifying potential corrosion issues before they escalate into significant problems. As LNG plants continue to proliferate globally, the integration of corrosion resistance into design and operational frameworks becomes increasingly vital. This paper also discusses emerging technologies and materials that hold promise for improving corrosion resistance, including nanotechnology and smart coatings that provide real-time monitoring capabilities. By learning from past projects and embracing a proactive approach to corrosion management, future energy projects can enhance safety, reduce operational risks, and achieve greater sustainability in their operations. Ultimately, the lessons derived from this research will contribute to developing best practices for designing and operating LNG plants and other energy facilities, ensuring that they meet the challenges of a rapidly evolving energy landscape.
Advancing Electric Engineering Education through Immersive Virtual Reality: Deep Learning and Evolutionary Algorithms for Image Stitching and Rectification in Virtual Lab Environments
Authors: Hussain Zainab M. , Wahsh Muntasser A. , Wahish Mays A.
Published: October 2024

Virtual Reality (VR) technology has emerged as a transformative tool in education, offering immersive and interactive experiences that enhance learning outcomes. This paper delves into the application of image stitching and rectification techniques to create a VR lab environment, specifically tailored for electrical engineering education. The importance of VR technology in education is explored, highlighting its role in promoting active learning and providing experiential learning opportunities. The primary emphasis of this Paper lies in the smooth incorporation of image stitching algorithms for the creation of panoramic perspectives, along with the implementation of rectification techniques to correct irregular borders within the stitched images. By utilizing Convolutional Neural Networks (CNNs) and Genetic Algorithms (GAs), the proposed approach optimizes the rectification process, resulting in visually cohesive representations. Demonstrating the utilization of the VR lab across a range of situations, such as examining power transfer and creating control panels for water pumps in irrigation initiatives, the immersive setting enables students to delve into intricate systems. The performance of the proposed method was evaluated using various metrics, including mean squared error, peak signal to noise ratio (PSNR), structural similarity index (SSIM), and Fréchet inception distance (FID). the combination of deep learning algorithm specifically (CNN) and optimization algorithm specifically (Genetic algorithm (GA)) led to an increase in the accuracy of the rectified images where the average PSNR reached 23.98, SSIM was 0.8066, and FID was 18.72. Regarding the users’ opinion about the generated environment by stitching and rectifying images, participants demonstrated consistent positive sentiments, with mean scores ranging from 3.65 to 4.03, all above the scale midpoint, and moderate variability indicated by standard deviation values ranging from 1.070 to 1.251, suggesting general favorability with some variation in responses. This experience empowers the users to gain insights and cultivate essential problemsolving abilities at a heightened level. Collaborative learning is facilitated, enabling students to engage in collaborative projects regardless of their physical location. Through the synthesis of image processing techniques and VR technology, this research contributes to the enrichment of educational experiences and the advancement of electrical engineering education.
Avaliação de Desempenho e Escalabilidade do Algoritmo de Otimização de Colônia de Formigas em C++ e Python
Authors: Magalhães João Marcos de Oliveira , Gonçalves Ana Carolina Medeiros , Nobre Cristiane Neri , Freitas Henrique Cota de
Published: October 2024

O algoritmo de Otimização de Colônia de Formigas, do inglês Ant Colony Optimization (ACO), é um algoritmo inspirado no comportamento das formigas em busca de alimento. Implementado originalmente em Python para seleção de instâncias, o código desenvolvido apresenta desempenho lento em grandes bases de dados. Este artigo apresenta a avaliação da conversão do ACO desenvolvido em Python para C++, visando comparar o desempenho das duas versões. A hipótese está fundamentada na melhoria do tempo de execução em C++, mantendo a qualidade na seleção de instâncias. Os objetivos incluem converter o código ACO em Python para C++, comparar o desempenho entre as duas versões, e identificar razões para as diferenças. Os resultados mostram que o ACO em C++ possui maior desempenho e escalabilidade com qualidade na redução de instâncias, principalmente, para grandes bases de dados.
Modelos de Predição do Tempo de Jobs Aplicados a um Ambiente de Produção de Alto Desempenho
Authors: Lima Miguel de , Gallo Bernardo , Andrade Luciano , Portella Felipe A. , Estrela Paulo J. B. , Malini Renzo Q. , Nunes Alan L. , Viterbo José , Drummond Lúcia M. A.
Published: October 2024

Este artigo tem como objetivo avaliar o impacto da utilização do tempo de execução de jobs, previstos pelos modelos de aprendizado de máquina J48, Linear Regression e Random Forest, no escalonamento em sistemas computacionais de alto desempenho. Os tempos previstos por esses modelos foram usados pela política SJF (Shortest Job First) em uma simulação de escalonamento baseada em um conjunto de milhares de jobs de aplicações reais de alto desempenho que foram executados em um ambiente de produção da Petrobras. As métricas de desempenho de escalonamento throughput e tempo médio de espera foram examinadas adicionalmente às tradicionais métricas teóricas de modelos preditores. Demonstramos que o efeito prático das predições pode divergir do resultado teórico dos preditores, destacando a importância de avaliações empíricas para a otimização do escalonamento de jobs.
Análise de Desempenho e Consumo Energético de Aplicações Recursivas em Ambientes OpenMP, CUDA e CUDA DP
Authors: Nogueira Angelo Gaspar Diniz , Lorenzon Arthur Francisco , Schepke Claudio , Kreutz Diego
Published: October 2024

Interfaces de programação paralela como CUDA possibilitam explorar a concorrência em GPUs. Embora o poder de processamento seja significativo neste tipo de arquitetura, a eficiência pode ser limitada em aplicações recursivas, devido à necessidade de comunicação entre GPU e CPU. Uma alternativa é utilizar a extensão Dynamic Parallelism, também conhecida como CUDA DP. Com o objetivo de investigar em maior profundidade esta extensão de paralelismo, neste artigo avaliamos o desempenho e o consumo energético de aplicações recursivas usando OpenMP, CUDA e CUDA DP. Os resultados obtidos indicam que CUDA DP viabiliza uma economia significativa na execução de aplicações com características semelhantes ao Mergesort, chegando a uma redução de até 23× no tempo de execução e 7× no consumo de energia quando comparado com as variantes CUDA e OpenMP, respectivamente. Na implementação do BFS com CUDA DP, observa-se um ganho aproximado de 5× no consumo de energia e no tempo de execução em comparação com o OpenMP. Contudo, em comparação com CUDA, há uma leve perda de 1, 6% no consumo de energia e de 5% no tempo de execução.
Estudo de desempenho e de eficiência energética em simulação de dinâmica de fluidos multifásicos nas arquiteturas NVIDIA Volta V100 e Grace Hopper GH200
Authors: Teixeira Thiago , Cabral Frederico L. , Coelho Micaella , Leite Luciano , Surmas Rodrigo , Borges Marcio , Osthoff Carla
Published: October 2024

Este estudo apresenta uma análise de desempenho e eficiência energética do Simulador Multifásico baseado no método Lattice Boltzmann (LBM) utilizando as arquiteturas NVIDIA V100 e NVIDIA GH200. O método LBM é amplamente utilizado para simulações de dinâmica de fluidos computacional devido à sua capacidade de modelar fluxos de permeabilidade relativa e complexos. Neste trabalho, foram realizadas simulações com malhas sintéticas variadas para avaliar o desempenho e o consumo energético em ambas as arquiteturas. Os resultados indicam que a arquitetura GH200 supera consistentemente a V100 em termos de desempenho, especialmente em malhas maiores, com ganhos de até 2.82 vezes. Além disso, a GH200 demonstrou uma eficiência energética superior, consumindo até 53% menos energia em comparação à V100. A análise de perfilagem com o NVIDIA NSight Compute identificou os principais fatores que contribuem para a perda de desempenho, destacando a necessidade de otimização no acesso à memória.
HybriD-GM: Um Modelo Paralelo para Computação Quântica direcionado às Arquiteturas Híbridas
Authors: Avila Anderson , Moura Bruno , Bastos Rafael , Santos Helida , Lucca Giancarlo , Cruz Anderson , Xavier-de-Souza Samuel , Yamin Adenauer , Reiser Renata
Published: October 2024

This paper has as its primary objective to introduce the the HybriD-GM model conception, as well as extend the D-GM environment, providing efficient parallel executions for quantum computing simulations, targeted to hybrid architectures considering both CPU and GPU. By managing projection operators over quantum structures, and exploring coalescing memory access patterns, the HybriD-GM model enables the granularity control, optimizing hardware resources in distributed computations organized as tree data-structures. In the HybriD-GM evaluation, simulations of Shor’s and Grover’s algorithms achieve significant performance improvements in comparison to the D-GM previous version and to the LIQUi|⟩ and ProjectQ simulators.
Uma Análise Multicamadas do Consumo de Energia em Cargas Big Data
Authors: Volpini Nestor D. O. , Dias Vinícius , Guedes Dorgival
Published: October 2024

Datacenters consomem 1% de toda a energia mundial. Este trabalho estudou os fatores que compõem o consumo de energia ao processar big data sobre Spark. Caracterizou os fatores mais significativos a partir de um conjunto de testes em cargas big data, que foram processadas com a energia medida fim a fim agregada a métricas da infraestrutura. Um estudo multifatorial sobre os resultados, demonstrou que: (i) nem sempre o acréscimo de recursos acelera o processamento a ponto se economizar energia; (ii) a forma como o recurso é ofertado (tamanho de VM) também altera o desempenho e o consumo; (iii) uma monitoração integrada a uma abordagem multicamada é fundamental para elencar fatores que podem ser a chave na economia de energia.
Multithread Approximation: A new OpenMP construct
Authors: Oliveira João B. , Gonçalves Rogério A. , Fabrício Filho João
Published: October 2024

This study presents a new construct in OpenMP designed to facilitate the implementation of approximate computing techniques within parallel programming environments. By integrating approximation methods such as task dropping, loop perforation, and floating-point relaxation, the proposed construct aims to enhance performance and energy efficiency while maintaining acceptable accuracy levels. Experimental results on benchmark applications demonstrate a trade-off of up to 490.83%, with 55.1% of quality loss, highlighting the potential and limitations of approximate computing in parallel contexts.
Improving performance visualization of OpenMP task-based applications
Authors: Pinto Vinícius Garcia , Sousa Filho Christian Einhardt
Published: October 2024

OpenMP is becoming a more powerful environment for exploiting task-based parallelism. Recent specification versions add support for new task clauses, while the OMPT interface provides a standard API for performance monitoring. In this paper, we present a workflow to improve the performance visualization of OpenMP task-based applications. We rely on open-source solutions such as the Tikki OMPT tracing tool and the StarVZ performance analysis framework to create enriched space-time views. We demonstrate this workflow with three applications: Strassen matrix multiply, SparseLU factorization, and a dense Cholesky factorization. For two of them, our strategy enables a better understating of the performance impact of the OpenMP task depend, task wait, and priority constructions.
Fortran DO CONCURRENT Evaluation in Multi-core for NAS-PB Conjugate Gradient and a Porous Media Application
Authors: Tremarin Gabriel Dineck , Marciano Anna Victória Gonçalves , Schepke Claudio , Vogel Adriano
Published: October 2024

High-performance computing exploits the hardware resources available to accelerate the applications’ executions, whereas achieving such an exploitation of hardware resources demands software programming. Hence, several parallel programming interfaces (PPIs) are used for sequential programs to call thread resources and parallelism routines. There are explicit PPIs (e.g., Pthreads and TBB) or implicit (e.g., OpenMP and OpenACC). Another approach is parallel programming languages like the Fortran 2008 specification, which natively provides the DO CONCURRENT resource. However, DO CONCURRENT’s evaluation is still limited. In this paper, we explore and compare the native parallelism of FORTRAN with the directives provided by the OpenMP and OpenACC PPIs in the NAS-PB CG benchmark and a porous media application. The results show that the DO CONCURRENT provides parallel CPU code with numerical compatibility for scientific applications. Moreover, DO CONCURRENT achieves in multi-cores a performance comparable to and even slightly better than other PPIs, such as OpenMP. Our work also contributes with a method to use DO CONCURRENT.
Redução Paralela Otimizada para Segmentos Regulares e Irregulares em GPU
Authors: Cordeiro Michel B. , Zola Wagner M. Nunan
Published: October 2024

Redução é uma operação que combina todos os elementos de uma coleção aplicando uma operação binária, como soma, máximo ou mínimo, a todos os elementos para obter um único valor resultante. Este trabalho tem como objetivo investigar estratégias de implementação para redução segmentada em GPUs. Técnicas existentes de redução segmentada costumam ter um desempenho consistente, mas são relativamente ineficientes quando aplicadas a segmentos irregulares. Essas técnicas são frequentemente otimizadas para cargas de trabalho específicas e, como resultado, podem apresentar desempenho degradado para certos conjuntos de dados, especialmente quando os segmentos têm tamanhos muito variados. O algoritmo apresentado neste artigo utiliza três estratégias diferentes para lidar com tamanhos variados de segmentos e tem a capacidade de escolher a melhor estratégia em tempo de execução para otimizar o processamento de cada segmento conforme seu tamanho. O algoritmo proposto oferece um desempenho consistente, alcançando uma aceleração de até 49.47 vezes para segmentos de tamanhos variados e até 12.62 vezes para segmentos de tamanhos regulares, em comparação aos algoritmos de redução segmentada das melhores bibliotecas paralelas em GPU. Além disso, este artigo também explora estratégias para acelerar a redução não segmentada, resultando em uma melhoria de até 1.77 vezes em comparação às outras implementações.
A job shaping strategy to accomodate workload traces under varying resource management policies
Authors: Santos João Pedro M. N. dos , Gomes Antônio Tadeu A.
Published: October 2024

Supercomputers play a pivotal role in advancing research and development across diverse scientific and engineering domains. However, configuring resource management in these systems to ensure maximum productivity and cost-effectiveness is a challenge. Workload simulation emerges as a crucial tool in this context, offering a mechanism to explore resource management configurations in the presence of expected user behaviors. This paper focuses on a specific requirement for simulation-based optimization applied to tuning resource management configurations: the need for simulators that are both precise and efficient. This paper introduces a job shaping strategy to accommodate real workload traces under varying resource management policies in discrete-event RMS simulations. Our findings from evaluating the proposed strategy on a real-world case study suggest that job shaping allows effectively capturing changes in system behavior, regardless of whether some of the real workload traces used as input to the simulation are incompatible with the simulated policies.
Zuweilen nichts Besonderes
Authors: Guzzoni Ute
Published: October 2024

Since the early Greeks, philosophy has focussed on generality of beings. In the 20th century (mainly with Heidegger and Adorno), the focus shifted to the individual and the particular. In this book, the author turns to the particular as such, in the sense of the individual, but also of the qualitatively particular. Starting from our respective experience as well as from poems and lines of poetry, she asks about the particular, using examples such as the cloud in a Brecht poem, trees, birds, the sensually perceptible, the particularity of the self, the particular in haiku. On the one hand, something speaks to people as a particular by itself, on the other hand, it owes its particularity to their attention.
Die Heimat der Anderen
Authors: Feneberg Valentin
Published: October 2024

Asylum procedures are full of knowledge gaps. Information from distant countries is difficult to obtain, and asylum decisions are risk assessments about an uncertain future. This book traces the journey of country of origin information, from its judicial investigation to its application in decisions. Drawing on over 40 interviews at administrative courts and an analysis of case law on Syrian draft evaders and on the humanitarian crisis in Afghanistan, it illustrates how judges manage both a lack of evidence and an information overload, and how they arrive at different assessments of the same situation based on the same country of origin information, leading to inconsistent decision-making.