bluuebunny/crossref_metadata_2025 huggingface dataset:
STUDY OF THE TERMS OF DETECTION OF CERTAIN DRUGS IN URINE AND HAIR TO EXCLUDE UNRELIABLE RESULTS DURING CLINICAL LABORATORY DIAGNOSTICS OF BIOLOGICAL OBJECTS
Authors: Strelova O.Yu. , Vikman P.S. , Shebatin R.V. , Balabanova O.L. , Chuvina N.A.
Published: February 2025

Introduction. When using immunochromatographic test strips for preliminary urine tests of examined persons for the fact of using psychoactive substances, there is a possibility of false positive results. One of the possible approaches to solving the problem of false positive results of chemical and toxicological studies, including cross-reactions in the drug administration, is hair analysis. The purpose of this work is to study the timing of detection of certain drugs (mebeverine, phenylephrine, sertraline, chlorpromazine) in urine and hair to exclude unreliable results of clinical laboratory diagnostics. Material and methods. Modeling of drug administration (phenylephrine, mebeverine, sertraline, aminazine) was carried out using laboratory animals - guinea pigs. The study of extracts from biological objects was carried out on a gas chromatograph with a mass-selective detector Agilent Technolo-gies (USA) 7890 A/5977 MSD, as well as by the HPLC-MS/MS method on a modular liquid chromatograph Nexera XR with a tandem mass spectrometer LCMS-8050 (Shimadzu, Japan). Results. The dynamics of the content of the studied medicinal substances in the urine within 168 hours after a single dose of daily dosage, the max-imum detection time of these substances: mebeverine and chlorpromazine for more than 7 days, sertraline and phenylephrine for no more than 5 days were studied. The features of the accumulation of the studied medicinal substances in the hair are determined. Mebeverine and chlorpromazine accumulate in significant amounts in the hair when ingested chronically, about 100 ng/mg and 80 ng/mg, respectively, and are also identified in statis-tically significant amounts 56 days after chronic use is stopped. Phenylephrine and sertraline accumulate in the hair in trace amounts, at a level of 2-5 ng/mg, and are also detected in trace amounts 28 days after discontinuation of administration. Conclusion. A systematic study of the dynamics and level of accumulation of toxicants in the hair tissue on the example of the studied drugs (mebeverine, phenylephrine, sertraline and chlorpromazine) showed results consistent with the data of the literature, and indicating that the dynamics of the accumulation and the level of accumulation of drugs in the hair structure depends on the physicochemical and pharmacological properties of the substance itself. Studies have shown that substances accumulate in the hair structure only in the form of native molecules, which makes it possible to recommend this biological material to solve the issue of cross-reactions of medicinal substances during the preliminary stage of clinical laboratory diagnostics with immunochromatographic test strips.
Pediatric problems of training young athletes
Authors: Grigoryev K.I. , Kharitonova L.A. , Grigoryev А.I. , Strukov V.I. , Elistratov D.G.
Published: February 2025

The most pressing issues of medical care for schoolchildren and students involved in physical education and sports are discussed. Much attention is paid to covering the pathogenesis of the physiology of physical exercise, the pathophysiology of cardiac transformation in child athletes, and the adaptation of cardiac and skeletal muscles. Electrocardiographic and morphological criteria for cardiac maladaptation in athletes are discussed. The problem of early and accessible “step-by-step” diagnosis is highlighted, as well as Russian tactics for monitoring changes in the health status of athletes and approaches to their prevention and drug support. Ways to prevent pathological transformation of the cardiovascular system in athletes and sudden cardiac death syndrome as its extreme manifestation are revealed.
Diseño bioclimático integrado. Experiencias proyectuales del Laboratorio de Energía, Medioambiente y Arquitectura
Authors:   Universidad de Sonora, Ochoa de la Torre José Manuel
Published: February 2025

A lo largo de dos décadas, el Laboratorio de Energía, Medioambiente y Arquitectura (LEMA) de la Universidad de Sonora ha sido pionero en el desarrollo del diseño bioclimático en México. Este libro documenta su trayectoria, presentando el proceso integral de diseño bioclimático y su aplicación en proyectos diversos, desde espacios educativos hasta laboratorios de energía renovable. Más allá de los resultados, la obra destaca el compromiso del LEMA con el diseño participativo, la adaptación ambiental y una ética que prioriza los beneficios del desarrollo científico a todas las comunidades.
La evaluación en arquitectura. Experiencias de investigación en laboratorios
Authors:   Universidad de Sonora, Marincic Lovriha Irene
Published: February 2025

El texto destaca la importancia de evaluar el impacto ambiental y energético en la arquitectura, especialmente ante los desafíos del cambio climático. Se ejemplifica con el trabajo del Laboratorio de Energía, Medio Ambiente y Arquitectura (LEMA) de la Universidad de Sonora, México, que integra métodos científicos al diseño arquitectónico para garantizar eficiencia energética y confort térmico. El libro presenta la evolución de tecnologías y metodologías utilizadas en proyectos a distintas escalas, rescatando información histórica valiosa y vinculándola a prácticas actuales.
Validation and Application of the Digital Linguistic Entrepreneurship Index for Enterprises
Authors: Li Jiexin , Wang Lifei
Published: February 2025

This paper introduces the concept and evaluation index system of Digital Linguistic Entrepreneurship for enterprises, which includes three primary indicators: digital linguistic entrepreneurial philosophy, digital linguistic entrepreneurial capability, and digital linguistic entrepreneurial resources, along with seven secondary indicators. Reliability and validity tests confirm that this framework is both reliable and feasible for assessing digital linguistic entrepreneurship. An analysis of the digital linguistic entrepreneurship performance of 20 Chinese enterprises reveals generally positive results, highlighting strengths in digital innovation and communication efficiency. However, the analysis also identifies areas for improvement, particularly in the adoption of advanced digital technologies and the integration of multilingual platforms among state-owned enterprises. The study emphasizes the need for enhancing digital linguistic capabilities, cultivating digital talent, and leveraging external resources and policy support to promote more effective digital transformation. These findings offer valuable insights that can help Chinese enterprises strengthen their global competitiveness, better utilize digital linguistic resources, and achieve sustainable growth in an increasingly digital and interconnected business environment. The study provides both a practical framework and strategic recommendations for enterprises aiming to enhance their digital linguistic entrepreneurship.
API Monetisation strategies for FinTech startups: Balancing innovation with revenue generation
Authors: GBEMINIYI DEBORAH ONIPEDE
Published: February 2025

The fast advancement of financial technology (FinTech) has triggered businesses to adopt API-based operational models at an increasing rate. Financial service integration through APIs delivers better customer service and operational improvement capabilities. FinTech startups encounter difficulties monetizing their API resources because they need to innovate while maintaining sustainable revenue streams. Pay-per-use subscriptions, annual payments, and free trials with premium options represent monetization methods in FinTech that offer different operational benefits and security issues. The research evaluates approaches that affect both financial services and market growth processes. The research demonstrates how API ecosystems require choosing between accessibility, scalability, and profitability during development. Real-world examples and statistical data enable the study to demonstrate tested methods for API monetization alongside startup success against competitors. Researchers have uncovered practices allowing profitable API establishments without obstructing innovative developments for FinTech professionals who wish to develop such systems.
Awareness of breast self-examination among females in selected secondary schools in Ibadan north local government area, Oyo state, Nigeria
Authors: Ajibola Omobola OJO  , Eunice Aramide AWE  , Iyanuoluwa Oreofe OJO
Published: February 2025

Breast cancer remains a significant public health concern globally, with early detection through breast self-examination (BSE) crucial for improved prognosis. This study assessed the awareness of breast self-examination among female students in selected secondary schools within Ibadan North Local Government Area of Oyo State, Nigeria.
A descriptive cross-sectional approach was used to evaluate the level of awareness of BSE among 308 female students aged 12-20. Structured questionnaires were used to collect data from the respondents on socio-demographics, awareness, knowledge, attitude, perception and practice of BSE. Purposive sampling technique was used to select the respondents while data collected was analyzed using descriptive and inferential statistics.
The findings of this study suggest that, on average, the respondents have a moderate level of knowledge about Breast Self-Examination (BSE), with a mean knowledge score of 2.86 out of a possible 5 (±1.14) and only around 28.9% of respondents reported practicing BSE, while similar percentages expressed confidence in performing BSE and doing it regularly on a monthly basis. The findings of this study show that there is a gap between knowledge and practice, despite the fact that some of the respondents have some level of awareness and understanding about BSE, the actual practice among respondents is low.
Conclusion: Based on the findings, it is recommended that comprehensive health education programs be integrated into school curriculum to raise awareness and enhance the practice of BSE among female students. Additionally, community-based awareness campaigns and partnerships with healthcare providers can further reinforce the importance of regular screening and early detection of breast cancer.
Towards a Net-Zero future: Intelligent carbon reduction strategies for the energy sector
Authors: Md Samiul Islam  , Md Sabiruzzaman
Published: February 2025

The transition to a net-zero future requires intelligent carbon reduction strategies that optimize energy efficiency and minimize greenhouse gas emissions. This paper explores the integration of artificial intelligence (AI), machine learning, and smart grid technologies in decarbonizing the energy sector. By leveraging data-driven approaches, predictive analytics, and optimization models, autonomous energy systems can enhance renewable energy integration, demand response, and grid stability. We analyze real-world case studies and simulations demonstrating AI’s effectiveness in reducing carbon footprints while ensuring economic viability. Key challenges, including policy barriers, data limitations, and system scalability, are addressed alongside actionable industry and regulatory recommendations. The findings highlight AI-driven strategies as a transformative solution for sustainable energy management, supporting the global goal of carbon neutrality. This research provides a framework for policymakers, energy providers, and researchers to accelerate the adoption of intelligent carbon reduction mechanisms in pursuit of a cleaner, more resilient energy future.
Phobia and homoeopathy
Authors: Dibyansh Kumar Singh Chauhan  , Shishir Agarwal
Published: February 2025

A phobia is a type of anxiety condition characterized by an overwhelming and ongoing fear of a thing or circumstance. An instant anxiety reaction is triggered when the source of the fear is exposed. An uncontrollable, illogical, and persistent fear of a certain thing, circumstance, or action is called a phobia. A person may take extreme measures to avoid the source of their fear since it can be so overwhelming. A panic attack is one possible reaction. This is an abrupt, severe fear that last for a few minutes. When there isn't any actual threat, it occurs.

Diagnosis of Mental, Behavioural and Neuro-developmental disorders as coded in ICD 10 (F01 – F99) version 2025.
Advanced machine learning models for real-time decision making in dynamic data environments
Authors: Michael Ehiedu Usiagwu  , Mayowa Timothy Adesina  , Johnson Chinonso
Published: February 2025

Dynamic dataenvironments presentsignificant challengesdue to their continuousevolution, highvelocity, and heterogeneity. This study explores the application of advanced ensemble machine learning (ML) models for real-time decision-making in these settings. A comprehensive methodology is employed, incorporating ensemble techniques such as XGBoost, LightGBM, CatBoost, and Random Forest to enhance decisionaccuracy, adaptability, and robustness. The research integrates real-time data processing frameworks, featuring micro- batch processing, feature engineering, noise filtering, and synthetic data balancing through SMOTE to address data imbalance and heterogeneity. Hyperparameter tuning and iterative optimization strategies, including grid search and cross-validation, are applied to improve model performance and prevent overfitting. The ensemble framework is evaluated in real-time scenarios, demonstrating its ability to process large-scale dynamic data streams with high accuracy and low latency. The findings underscore the transformative potential of these models in domains like healthcare, finance, and autonomous systems, where real-time decisions are critical.
Small language models in big data marketing analytics: Addressing bias, accuracy and ethical challenges
Authors: Michael Ehiedu Usiagwu  , Lawal Muez  , Johnson Chinonso
Published: February 2025

Small Language Models (SLMs) are gaining prominence in big data marketing analytics due to their efficiency and scalability. This study evaluates the role of SLMs, emphasizing their benefits in tasks such as sentiment analysis and customer segmentation while addressing limitations, including biases, accuracy constraints, and ethical considerations. Using a mixed-methods approach, the research integrates experimental testing, literature reviews, and expert interviews to compare SLMs with larger models, focusing on performance, bias mitigation, and ethical compliance. The findings underscore the need for strategies to reduce biases, improve transparency, and ensure ethical deployment, enabling SLMs to be leveraged effectively in marketing analytics
Optimizing end-to-end business processes by integrating machine learning models with Uipath for predictive analytics and decision automation
Authors: Rama Krishna Debbadi  , Obed Boateng
Published: February 2025

to optimize the end-to-end process, more than befitting the bolstering pattern of the digital landscape undergone in years. Conventional process automation tools, including Robotic Process Automation (RPA), have automated repetitive tasks but often fall short in terms of predictive intelligence for proactive decision-making. UiPath integration with machine learning (ML) models plays a transformative role in the way businesses optimize their processes. Integrating predictive analytics and decision automation within UiPath workflows further helps organizations drive operating efficiency by reducing human involvement in systems and enhancing decision-making by providing AI-based insights. The built-in intelligence of RPA tools completes the automation process with decision-making and skilled assignments using the ML model-based tools, which are integrated together as a workflow to resolve exceptionally crucial business issues. Some of the key advantages are process adaptation in real-time, anomaly detection, and decision-making. Machine learning (ML), extending from predictive analytics, enables bots to make intelligent choices about the data they consume (invoice processing, credit card transactions, campaign analytics, etc.) without human intervention or oversight in decisioning. It also discusses challenges like data integration complexities, model interpretability, and deployment scalability, and strategies for overcoming these barriers. The research findings suggest that UiPath’s AI capabilities, when leveraged with solid ML frameworks, can greatly enhance business process efficiency, cost efficiency, as well as business competitive advantage. In summary, this paper serves as a detailed guide for organizations seeking to leverage the potential of AI-powered automation to streamline business processes and foster innovation.
Enhancing cognitive automation capabilities with reinforcement learning techniques in robotic process automation using UiPath and automation anywhere
Authors: Rama Krishna Debbadi  , Obed Boateng
Published: February 2025

Cognitive automation represents the next frontier in Robotic Process Automation (RPA), enabling systems to learn, adapt, and optimize decision-making processes dynamically. Traditional RPA platforms, such as UiPath and Automation Anywhere, excel in automating rule-based tasks but lack the ability to handle complex, evolving scenarios that require adaptive intelligence. Integrating reinforcement learning (RL) techniques into RPA workflows offers a transformative approach to enhancing cognitive automation capabilities. RL enables bots to make intelligent, data-driven decisions by learning from their environment, optimizing workflows, and improving operational efficiency over time. This study explores the integration of RL algorithms within UiPath and Automation Anywhere to develop self-learning automation systems capable of handling non-deterministic processes. Key applications include intelligent exception handling, dynamic process optimization, and adaptive customer service automation. By leveraging RL-based decision models, RPA bots can continuously improve their performance, reduce error rates, and optimize workflows beyond predefined rules. The research also examines challenges such as computational complexity, model interpretability, and integration barriers within enterprise automation environments. Solutions such as cloud-based reinforcement learning frameworks, hybrid AI-RPA architectures, and explainable AI techniques are proposed to mitigate these challenges. The findings indicate that reinforcement learning can significantly enhance cognitive automation in RPA, enabling businesses to achieve higher levels of efficiency, adaptability, and intelligent decision-making.
A graph neural network-based multi-context mining framework predicts emerging health risks to improve personalized healthcare
Authors: Rajesh Daruvuri  , Balaram Puli  , Pandian Sundaramoorthy  , N N Jose  , RVS Praveen  , Senthilnathan Chidambaranathan
Published: February 2025

An emerging health risk prediction framework which uses Graph Neural Networks (GNN) as Multi-Context Mining mechanisms demonstrates high accuracy performance. The proposed system obtains different kinds of datasets from chronic disease information to behavioural patterns and mental health records before performing preprocessing. Our model predicts multiple dependent variables through advanced multivariate regression analysis to yield precise regression models with detailed feature maps. The method establishes an initial graphical structure through patient nodes that cluster together according to shared health characteristics and edge connections based on correlation values. The analysed context from mining drives an iterative growth of the graph based on GNN model implementation for latent risk detection. The framework uses patient relationships in the graph structure to foresee the development of comparable chronic conditions and related symptoms among patients. The framework integrates an adaptive clustering system alongside a dynamic graph expansion method which tracks time-dependent medical relationships between patients while creating optimized patient clusters. The implemented framework establishes a 92.4% accuracy level through performance assessments that evaluate precision levels of the regression model and clustering efficiency and overall robust framework performance. The model we developed shows successful capacity to recognize threatening health patterns while producing individualized predictive information. Through its significant developments in healthcare analytics this work enables proactive diagnosis alongside better treatment recommendations that produce better patient results.
Investigation of the effect of myrtle spurge (Euphorbia myrsinites L.) extract on some mechanical properties of fabrics
Authors: Savaş Tuna Gülsemin , Uzun Ayşenaz , Ergün Umut Yaşar
Published: February 2025

Textile products have the most direct relationship with the human body after food products. Dye residues and chemicals on our clothes can penetrate our bodies through sweating and respiration which affects our health. The purpose of this study was to investigate the effect of the extract obtained from Euphorbia myrsinites L. on various mechanical properties of fabrics and to find natural alternatives to currently used chemicals to improve these properties. In the study, an extract was obtained from the dried E. myrsinites samples by the decoction method. The extract was applied to various fabrics to determine the most suitable fabric, and a sample fabric was produced. The friction fastness, touching, flammability, crease resistance, and abrasion resistance tests were performed on the produced sample and standard fabrics. As a result of the study, it was revealed that the sample fabric produced using Euphorbia extract outperformed the standard fabric in wet and dry friction fastness, crease resistance, and mechanical friction resistance tests. It also reached the desired levels of toughness, density, and smoothness in the touching test. The fabric ignited approximately 13-14 seconds in flammability tests, and this result was considered positive as the criterion for these tests performed in advanced laboratories is 10 seconds. Based on the findings of this study, it can be suggested that fabrics which do not wrinkle, wear out quickly, or burn easily can be produced by using Euphorbia extract instead of chemicals that are harmful to health.
Pemberdayaan Masyarakat Sekolah Melalui Pelatihan Pemanfaatan Data Tracer Study sebagai Upaya Mempercepat Keterserapan Alumni
Authors: Poerwanto Bobby , Aswi Aswi , Rahmat Abdul
Published: February 2025

Kegiatan ini bertujuan untuk meningkatkan kompetensi literasi data untuk memanfaatkan data tracer study sehingga dapat dijadikan dasar penyusunan program kerja sehingga dapat mempercepat penyerapan alumni di dunia industri, selain itu kegiatan ini juga bertujuan untuk membantu alumni dan mahasiswa tingkat akhir untuk mempersiapkan diri menghadapi tes wawancara kerja. Peserta pelatihan pada kegiatan ini berjumlah 20 orang guru dan tenaga kependidikan, serta 20 orang mahasiswa tingkat akhir dan alumni. Materi yang diberikan merupakan standar pelaksanaan dan pemanfaatan data tracer study, pengolahan data dan persiapan wawancara kerja. Hasil diukur dari respon peserta berupa kesesuaian materi dengan kebutuhan peserta, tingkat kesulitan materi yang diterima, sistematika narasumber dalam menjelaskan, dan tingkat penguasaan materi oleh narasumber. Hasilnya, mayoritas memberikan respon sangat jelas. Dari kegiatan ini, pihak sekolah sudah mengetahui standar pelaksanaan tracer study, sudah mampu mengolah data tracer study menjadi informasi untuk membuat program kerja, dan sudah mampu membuat laporan pelaksanaan tracer study untuk kebutuhan akreditasi.
Pemberdayaan Kelompok Masyarakat melalui Pendampingan Pelestarian Musik Langgam Makassar
Authors: Nurmadin Baso Adam , Irayani Irayani , Alfath Muhammad , Sukri Muh. Fikri Ma'arif , Poerwanto Bobby
Published: February 2025

Pelestarian musik tradisional merupakan tantangan besar di era modern, terutama di kalangan generasi muda yang cenderung lebih tertarik pada musik populer. Musik langgam Makassar, sebagai salah satu warisan budaya yang sarat nilai historis dan estetika, menghadapi risiko kepunahan di Desa Taeng, Kabupaten Gowa. Permasalahan utama yang dihadapi adalah penurunan minat generasi muda, kurangnya pendidikan tentang pentingnya musik tradisional, keterbatasan akses sumber daya bagi pelaku seni, serta minimnya platform promosi untuk musik langgam. Sebagai solusi, dilakukan program pemberdayaan masyarakat melalui pendampingan pelestarian musik langgam Makassar. Program ini bertujuan untuk meningkatkan kesadaran dan keterampilan masyarakat dalam melestarikan musik langgam serta memperkuat identitas budaya lokal. Metode pelaksanaan kegiatan meliputi pelatihan, sosialisasi, dan kolaborasi antara pelaku seni dan masyarakat, dengan fokus pada pengenalan nilai-nilai budaya, sejarah Langgam Makassar, peningkatan kapasitas teknis alat musik, dan penciptaan platform promosi yang lebih luas. Hasil dari kegiatan ini menunjukkan peningkatan kesadaran dan partisipasi masyarakat dalam pelestarian musik langgam, serta terciptanya sinergi yang lebih baik antara pelaku seni dan komunitas lokal. Program ini juga berhasil mengidentifikasi langkah-langkah strategis untuk memperluas jangkauan promosi musik langgam, baik di tingkat lokal maupun nasional, sehingga keberlanjutan musik langgam Makassar di Desa Taeng dapat terjamin.
Meningkatkan Motivasi Siswa untuk Melanjutkan Pendidikan ke Perguruan Tinggi
Authors: Astuti Intan Rizki Widya , Agustina Aulia , Hasanah Hardiatun , Ningsih Apriliya , Amalia Nanda Rizqi , Septiandani Risna , Azzauri Supyan , Ramadhani Restu Agung , Kurnia Agus
Published: February 2025

Kualitas sumber daya manusia di Lombok Timur menjadi perhatian serius, tercermin dari rendahnya angka partisipasi pendidikan tinggi di daerah tersebut yang hanya 26% siswa yang melanjutkan pendidikan ke jenjang perguruan tinggi. Partisipasi sekolah ini sangat penting karena berkaitan dengan pengembangan sumber daya manusia di daerah tersebut. Oleh karena itu, kami berupaya melakukan kegiatan pengabdian yang bertujuan untuk meningkatkan motivasi pelajar SMA Negeri 1 Sakra untuk melanjutkan pendidikan. Untuk mencapai tujuan tersebut metode peer education digunakan dengan beberapa tahapan seperti perencanaan, persiapan, pre-test, sosialisasi, sesi tanya jawab, post-test, dan Focus Group Discussion (FGD). Kegiatan dimulai dengan observasi untuk mengidentifikasi faktor-faktor yang mempengaruhi motivasi siswa, diikuti dengan sosialisasi yang memberikan wawasan tentang manfaat pendidikan tinggi dan informasi beasiswa. Hasil menunjukkan peningkatan signifikan dalam motivasi siswa untuk melanjutkan pendidikan. Temuan ini menunjukkan bahwa pendekatan edukatif yang tepat mampu mengubah pola pikir dan meningkatkan minat siswa terhadap pendidikan tinggi. Kesimpulannya, program edukasi yang berfokus pada peningkatan motivasi dapat berkontribusi pada penguatan fondasi edukasi dan kompetensi individu di Lombok Timur.
Pemanfaatkan Artificial Intelligence untuk Kegiatan Belajar Mengajar di Sekolah Dasar
Authors: Nugroho Setiyo Adi , Prakasa Hadi Andik , Rudjiono Rudjiono , Zainudin Ahmad , Priyadi Agus
Published: February 2025

The rapid advancement of computer technology, particularly artificial intelligence (AI), has a significant impact in educational sector. This influence spans all educational levels, from primary schools to universities. A Workshop was conducted to explore the use of AI as an educational aid, based on observations and interviews with theprincipal of Virgo Maria 2 Elementary School in Semarang Regency before the workshop. The goal was to familiarize the teachers with AI technology, highlighting both its advantages and disadvantages. The Workshop included both theoretical instruction and practical application of AI, guided by lecturers from the LPPM team from STEKOM University Semarang. Participants' understanding the usage of AI was assessed through their active engagement during the practical sessions of the Workshop . As a result, the participants are now have ability to utilize AI tools to enhance teaching and learning processes at VirgoMaria 2 Elementary School in Semarang Regency. The enhancement of teachers technical abilities in computer technology, especially in the use of artificial intelligence (AI), after  the workshop, has achieved the destined goals..
Psikoedukasi untuk Meningkatkan Pengetahuan mengenai Pengelolaan Stres
Authors: Adni Azizatul
Published: February 2025

Keberadaan karang taruna diharapkan dapat meningkatkan kesejahteraan masyarakat. Karang Taruna dituntut untuk dapat aktif berperan dalam pencegahan dan penanganan permasalahan sosial yang terjadi sehingga dapat berpengaruh terhadap kondisi psikologis pengurus karang taruna. Oleh karena itu, penting untuk meningkatkan pengetahuan mengenai pengelolaan stress, sehingga pengurus karang taruna dapat menjaga kestabilan kondisi psikologisnya. Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan Karang Taruna menggunakan konsep community development. Kegiatan dilakukan dengan metode psikoedukasi mengenai pengelolaan stres. Pada metode ini, paparan informasi dan pengalaman konkrit dilakukan secara paralel. Pengalaman konkrit (concrete experience) merupakan bentuk adaptasi metode experiential learning. Pengukuran perubahan pengetahuan dilakukan melalui pengisian pre-test dan post-test oleh peserta. Hasil pre-test dan post-test menunjukkan bahwa terdapat perbedaan rerata yang signfikan (p=0,038) sebelum dan sesudah psikoedukasi. Dengan demikian dapat disimpulkan bahwa penerapan paparan dan pengalaman konkrit dinilai efektif dalam peningkatan pengetahuan pengurus Karang Taruna mengenai pengelolaan stres sebagai langkah awal dalam peningkatan kesadaran dan sikap dalam pengelolaan stres
Budidaya Maggot Terintegrasi dengan Perikanan dan Pertanian Sebagai Upaya Mengatasi Permasalahan Sampah dan Mendukung Ketahanan Pangan Lokal
Authors: Purwanti Ani , Setyaningsih Emy , Purwanto Yuli , Fauzi Achmad , Prabowo Fajar Yulianto
Published: February 2025

Proklim Bantala Abyudaya yang berada di Kalurahan Sendangsari, Pengasih, Kulon Progo menghadapi masalah, yaitu: pengelolaan sampah organik yang kurang optimal dan rendahnya ketahanan pangan lokal. Untuk mengatasi permasalahan tersebut, Tim Pengabdian pada Masyarakat Akprind University melalui Program Pemberdayaan Desa Binaan mengusulkan model pengintegrasian budidaya maggot dengan perikanan dan pertanian. Program ini bertujuan untuk mengurangi sampah organik dan meningkatkan produktivitas di bidang pertanian dan perikanan. Program ini melibatkan Bank Samah Induk (BSI) Dhuawar Sejahtera, Kelompok Wanita Tani (KWT) Dhuawar dan Kelompok Pembudidaya Ikan (Pokdakan) Gondangsari. Metode yang digunakan meliputi persiapan, pengembangan sistem budidaya maggot terintegrasi, pelatihan, dan evaluasi melalui pre-test dan post-test. Program ini berhasil menyiapkan percontohan budidaya maggot yang terintegrasi dengan perikanan dan pertanian serta meningkatkan keterampilan dan pengetahuan kelompok Masyarakat tersebut melalu pelatihan dan pendamingan yang intensif yang dibuktikan dari hasil analisis uji statistik. Pendekatan ini diharapkan menjadi model keberlanjutan yang dapat diterapkan di wilayah lain, berkontribusi terhadap mitigasi perubahan iklim dan pemberdayaan ekonomi lokal.
Pemberdayaan Masyarakat Dalam Meningkatkan Kualitas Pelayanan Soft Skill Masyarakat Pesisir Pantai
Authors: Nofiyanti Fifi , Adawiyah Robiatul , Anjani Delsya Tri , Jidan Akyas Ahmad
Published: February 2025

Pantai Karang Bereum Lebak Banten memiliki sumber daya alam yang indah dan beragam. Tujuan kegiatan PKM ini untuk memberikan pengetahuan dan keterampilan kepada Pokdarwis dan pelaku UMKM tentang kualitas pelayanan soft skill masyarakat yang difokuskan kepada pendampingan SDM pariwisata, konten kreator digital, dan keterampilan towel art. Metode pelaksanaan dalam kegiatan PKM atau Pengabdian kepada masyarakat menggunakan metode penyuluhan, pelatihan, dan pendampingan. Waktu pelaksanaan kegiatan yaitu pada 24-29 Agustus 2024. Sasaran peserta dalam program pemberdayaan masyarakat di Pantai Karang Bereum Lebak Banten yaitu Pokdarwis dan masyarakat pelaku UMKM. Jumlah seluruh peserta yang mengikuti program yaitu sejumlah 20 orang. Kegiatan PKM di Pantai Karang Bereum berhasil meningkatkan pengetahuan peserta dalam SDM Pariwisata, Towel Art, dan Konten Digital dari 5-10 menjadi 90%. Hasil kegiatan PKM ini berhasil meningkatkan keterampilan peserta dalam SDM pariwisata, Towel Art, dan pembuatan konten digital, dengan peningkatan pengetahuan dari 5-10% menjadi 90%. Kesimpulan dari kegiatan PKM ini adalah meskipun kegiatan PKM ini berhasil memberi pengetahuan kepada peserta, tetapi masih adanya keterbatasan waktu, kesulitan teknologi, dan akses internet, program ini berhasil memberikan dampak positif bagi pengembangan pariwisata dan UMKM lokal. Disarankan untuk menambah waktu praktik, menyesuaikan materi, dan meningkatkan sarana teknologi untuk keberlanjutan program.
Pemberdayaan Pelaku Usaha Konveksi Berbasis Rumah di Jurangmangu Tentang Pengelolaan Keuangan untuk Meningkatkan Kesejahteraan
Authors: Ratnaningtyas Heny , Sugeng Novita Widyastuti , Nurbaeti Nurbaeti , Gantina Devita
Published: February 2025

Financial management counseling for home-based convection business actors in Jurangmangu, South Tangerang, was held to overcome the low understanding of working capital management, financial planning and risk mitigation. The aim of this activity is to increase participants' financial literacy so they can manage their businesses more effectively. The methods used include conveying participants' needs, compiling material, providing direct counseling, interactive discussions, and evaluation through pre-tests and post-tests. Post-evaluation results showed a significant increase in participants' understanding, with 100% answering correctly on the post-test counseling, compared to only 10-20% correct on the pre-test. The conclusion of this activity emphasizes the importance of good working capital management and financial planning to maintain business liquidity and stability. It is recommended that business actors continue to attend training and build good relationships with customers and suppliers to support the growth and desires of their business. Through the application of the knowledge gained, it is hoped that business actors can increase operational efficiency and achieve success in their business convection.
Pengembangan Edu-Agrowisata Budi Daya Tembakau untuk Produk Non- Rokok
Authors: Rahmanita Myrza , Asmaniati Fetty , Nurbaeti Nurbaeti , Nurmalinda Elda
Published: February 2025

Kegiatan PKM diadakan untuk mengatasi keterbatasan pengetahuan dan infrastruktur masyarakat Desa Watusigar dalam mengembangkan potensi edu-agrowisata tembakau non-rokok sebagai upaya meningkatkan pendapatan dan diversifikasi ekonomi desa. Kegiatan Pengabdian kepada Masyarakat di Desa Watusigar bertujuan untuk mengidentifikasi dan mengembangkan potensi edu-agrowisata berbasis budi daya tembakau non-rokok sebagai upaya meningkatkan pendapatan masyarakat dan mendorong diversifikasi ekonomi desa. Melalui kegiatan ini, masyarakat diberdayakan dengan penyuluhan mengenai pemanfaatan tembakau untuk produk non-rokok, seperti kosmetik herbal dan pestisida alami. Metode yang digunakan meliputi survei potensi desa, observasi lapangan, studi dokumentasi, serta cus untuk menggali ide dan strategi yang tepat. Hasil identifikasi menunjukkan bahwa Desa Watusigar memiliki potensi besar dalam mengembangkan edu-agrowisata tembakau, namun tantangannya adalah keterbatasan pengetahuan masyarakat tentang peluang wisata dan infrastruktur pendukung yang masih minim. Strategi yang diusulkan mencakup peningkatan kapasitas petani melalui pelatihan pengolahan produk non-rokok, pengembangan infrastruktur wisata seperti jalur wisata dan gazebo, serta promosi melalui media sosial dan pameran. Edu-agrowisata ini berpeluang sebagai pilihan strategis dalam memajukan ekonomi lokal dan memperkenalkan wisata edukatif yang berkelanjutan.
Implementasi Sistem Aerator Menggunakan Kincir Berbasis Panel Surya Pada Empang Udang
Authors: Fatwasauri Icha , Fitriyanto Indra , Maknunah Jauharotul , Pahlevi Rezky , Fazri Dimas Maulana
Published: February 2025

Desa Pangkalan di Kabupaten Indramayu merupakan salah satu daerah dengan potensi besar dalam budidaya udang. Namun, seperti banyak daerah lain, petambak udang di Desa Pangkalan menghadapi tantangan terkait keberlanjutan lingkungan dan efisiensi operasional. Salah satu tantangan utama adalah kebutuhan akan sistem aerasi yang berkelanjutan untuk memastikan kualitas air yang baik dalam empang. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan produktivitas budidaya udang di Desa Pangkalan, Indramayu, melalui implementasi sistem aerator berbasis panel surya. Sistem ini dirancang untuk meningkatkan kadar oksigen terlarut dalam air dengan cara yang efisien, hemat energi, dan ramah lingkungan. Banyak petambak di desa ini menghadapi tantangan dalam menjaga kualitas air yang optimal dan mengurangi biaya operasional akibat penggunaan sistem aerasi konvensional. Metode pengabdian  ini yaitu memperkenalkan teknologi kincir aerator yang digerakkan oleh energi surya, yang dirancang untuk meningkatkan kadar oksigen terlarut dalam empang. Pelatihan dan pendampingan diberikan kepada petambak mengenai instalasi, pemeliharaan, dan manfaat penggunaan panel surya. Hasil pengabdian menunjukkan kadar oksigen terlarut dalam air meningkat hingga 15% dibandingkan kondisi awal.  Kesimpulan dari penelitian ini adalah bahwa implementasi sistem aerator berbasis panel surya merupakan solusi yang efektif dan efisien untuk meningkatkan kualitas air pada empang udang, sekaligus mendukung praktik budidaya yang lebih ramah lingkungan dan berkelanjutan.
Classification of Atopic Dermatitis and Psoriasis Skin Diseases Using Residual Network (ResNet-50)
Authors: Mekacahyani Rakhimatulfitria , Badie’ah Badie’ah , Much Ibnu Subroto Imam
Published: February 2025

Latar Belakang: Dermatitis atopik dan psoriasis merupakan penyakit kulit yang memiliki kesamaan gejala, ditandai dengan lesi epidermis yang meradang dan mengalami variasi penebalan dalam intensitas serta area permukaan kulit yang terkena. Namun keduanya merupakan jenis penyakit kulit yang berbeda sehingga pemahaman dalam membedakannya sangat penting, karena dapat mengurangi stigma dan risiko komorbiditas untuk meningkatkan kualitas hidup penderitanya serta mencegah timbulnya risiko kesehatan yang lebih serius.
Tujuan: Tujuan penelitian ini adalah meningkatkan akurasi dalam mengklasifikasikan penyakit kulit dermatitis atopik dan psoriasis menggunakan model Residual Network (ResNet-50) tanpa overfitting, serta membandingkannya dengan model MobileNet untuk menemukan pendekatan yang terbaik.
Metode: Metode yang digunakan dalam penelitian ini adalah arsitektur ResNet-50 untuk klasifikasi penyakit kulit, yaitu dermatitis atopik dan psoriasis. Pemilihan model ResNet-50 didasarkan pada penggunaan koneksi shortcut yang memungkinkan penerapan jaringan yang lebih dalam tanpa mengalami masalah vanishing gradient.
Hasil: Hasil penelitian menunjukkan bahwa akurasi terbaik mencapai 92,75% untuk data training dan 88,00% untuk data testing, dengan perbandingan data sebesar 80%:10%:10%. Selain itu, hasil confusion matrix dari model terbaik menunjukkan nilai precision, recall, dan F1 score untuk kedua penyakit berada di antara ≥80% dan ≤96%..
Kesimpulan: Metode ResNet-50 pada skenario 1 lebih unggul dibandingkan skenario lainnya sehingga keakuratan dalam mengklasifikasikan kedua penyakit dapat meningkatkan efektivitas diagnosis dan pengembangan praktik medis yang lebih baik.
The Klasifikasi Suara Paru-Paru Menggunakan Mel Frequency Cepstral Coefficient dan Convolutional Neural Network
Authors: Halim Sayyidis Syariful , Kanata Bulkis , Akbar Syamsul Irfan
Published: February 2025

Latar Belakang: Tantangan dalam diagnosis gangguan pernapasan sering disebabkan oleh kurangnya alat teknologi yang mampu mengenali pola suara paru-paru secara akurat, sehingga dapat mengurangi potensi kesalahan diagnosis subjektif oleh tenaga medis. Tujuan: Penelitian ini bertujuan mengembangkan model klasifikasi suara paru-paru yang dapat mendeteksi gangguan pernapasan secara dini dan akurat.
Metode: Metode yang digunakan adalah kombinasi teknik augmentasi data dan ekstraksi fitur Mel Frequency Cepstral Coefficient (MFCC) untuk meningkatkan kinerja Convolutional Neural Network (CNN) dalam mengklasifikasikan suara paru-paru. Sebanyak 1.350 rekaman audio paru-paru dikategorikan ke dalam sembilan kelas, termasuk suara normal dan abnormal. Untuk memperkaya data pelatihan, diterapkan berbagai teknik augmentasi, seperti penambahan white noise, pitch scaling, time stretching, dan random gain.
Hasil: Hasil penelitian menunjukkan bahwa model E-CNN2D mencapai akurasi hingga 95%, melampaui model sebelumnya dengan rentang akurasi 83-93%.
Kesimpulan: Penelitian ini memiliki potensi sebagai solusi alat bantu diagnosis yang cepat dan akurat, sehingga dapat mendukung tenaga medis dalam mengurangi risiko kesalahan diagnosis subjektif pada gangguan pernapasan.
THE ROLE OF ACEHNESE ULAMA IN THE SUFISM, TAUHID, AND FIQH STUDY MOVEMENT: Historical and Contextual Perspectives
Authors: Buto Siregar Zulfikar Ali , Muhibuddin Muhibuddin Muhibuddin , Mohd Jamil Mohd Ridhuan
Published: February 2025

This study examines the development of Tasawuf, Tauhid, and Fiqh in Acehnese society, focusing on the contributions of local scholars. Using a qualitative approach, it explores the interrelation of these Islamic disciplines and their influence on religious practices. The findings highlight the scholars' role in disseminating these studies through traditional institutions such as dayah (Islamic boarding schools), mosques, meunasah, balee, and even local cafés. The integration of Tasawuf, Tauhid, and Fiqh is crucial in shaping Aceh's religious identity. This movement is further reinforced by the establishment of TASTAFI, an organization formed by dayah alumni, which has expanded across districts in Aceh.
Intervalos de confianza para colesterol ligado a lipoproteínas de alta y baja densidad en suero de bovinos, equinos, porcinos y caninos
Authors: Coppo N. B. , Coppo J. A. , Lazarte M. A.
Published: February 2025

Para interpretar adecuadamente el valor del colesterol sérico, actualmente es necesario conocer el tipo de lipoproteína que lo transporta. Con el propósito de obtener valores de referencia y variaciones fisiológicas para colesterol ligado a lipoproteínas de alta y baja densidad (C– HDL y C–LDL), se analizan muestras de 218 animales domésticos ormocolesterolémicos de distinta raza, sexo, edad y tipo de alimentación. Se obtienen intervalos de confianza para C–HDL y C–LDL en bovinos (0,72–0,90 y 0,18–0,26 g/l respectivamente, n = 80), equinos (0,58–0,65 y 0,25–0,34 g/l, n = 49), caninos (1,09–1,25 y 0,31–0,42 g/l, n = 59) y porcinos (0,38–0,46 y 0,30–0,35, n = 30). Se constatan diferencias fisiológicas atribuibles a raza, sexo, edad y dieta. Se ratifica que bovinos, equinos y caninos pertenecen al patrón HDL, por registrar los más altos porcentajes de C–HDL, en tanto que los porcinos encuadran en el patrón LDL por exhibir las más altas tasas de C–LDL.
Leucosis enzoótica bovina en tambos de la zona de influencia de la ciudad de Corrientes
Authors: Resoagli J. P. , Jacobo R. A. , Storani C. A. , Cipolini M. F. , Deco M. , Alfonzo D. , Juri Chagra D.
Published: February 2025

Con el objetivo de investigar la prevalencia de leucosis enzoótica bovina (LEB) en tambos del Departamento Capital de la Provincia de Corrientes, se procesaron 126 sueros de bovinos hembras en producción, mayores de dos años, de raza Holando Argentino, pertenecientes a siete establecimientos. La técnica diagnóstica utilizada fue la inmunodifusión en gel de agar. En uno de los tambos no hubo reactores positivos a LEB, pero en los seis restantes se registraron seroprevalencias del 3,5% al 93,9%, con una media de 32,5%. En ningún animal se registró sintomatología clínica.
Hepatitis infecciosa canina en la ciudad de Corrientes: reporte de un caso
Authors: Lértora J. , Burna A.
Published: February 2025

El objetivo del presente trabajo es informar los aspectos anátomo e histopatológicos de un caso fatal de hepatitis infecciosa canina en la ciudad de Corrientes. El cadáver de un animal de 5 meses de edad, sexo hembra y de raza indefinida, ingresa al Servicio de Diagnóstico Histopatológico de la Facultad de Ciencias Veterinarias (UNNE). A la necropsia, la gran mayoría de los órganos evidenció signos de congestión, hemorragia y necrosis. Microscópicamente, las lesiones características fueron edema, congestión y hemorragia. En particular, el hígado presentó necrosis hemorrágica periacinar y presencia de cuerpos de inclusión intranucleares basofílicos. Estos últimos también se observaron en células endoteliales de glomérulos renales, macrófagos del bazo y nódulos linfoides. Los datos de la anamnesis, sumados a los hallazgos macro y microscópicos, permitieron arribar al diagnóstico de hepatitis infecciosa canina. Queda así demostrada la presencia de esta enfermedad en nuestro medio, debiéndosela considerar al momento de establecer el diagnóstico diferencial.
Detección de anticuerpos contra anaplasmosis bovina en rodeos de cría del noroeste de la Provincia de Corrientes, Argentina
Authors: Cipolini M. F. , Jacobo R. A. , Draghi M. G. , Echaide S. T.
Published: February 2025

El objetivo de este trabajo fue evaluar la existencia de anticuerpos contra Anaplasma marginale en bovinos menores de un año de edad, mantenidos en distintos establecimientos de cría del nordeste argentino, lo cual indicaría que estuvieron en contacto con el agente etiológico. Tal información posibilitaría conocer el estado inmunológico de dichos bovinos, criados en una zona caracterizada por inestabilidad inmunológica a tal agente. Durante 2002, se encuestaron 733 animales de las razas Hereford, Bradford, Brangus y Brahman, de ambos sexos, pertenecientes a 20 establecimientos de cría del noroeste de la Provincia de Corrientes. La técnica de aglutinación en placa (Card–Test) detectó positividad en el 95,6% de los casos, indicando altos niveles de cobertura inmunológica, por lo cual se concluye que tales rodeos, durante el lapso considerado, permanecían en estabilidad enzoótica. El hecho de no existir riesgo de infección desaconseja la utilización de vacunas contra anaplasmosis en animales menores de un año de edad.