bluuebunny/crossref_metadata_2025 huggingface dataset:
INFLUENCE OF INFORMATION TECHNOLOGY ON INTERNAL CONTROL SYSTEMS IN TERTIARY INSTITUTIONS IN OSUN STATE, NIGERIA
Authors: Adebayo Aderemi Olalere , Obisesan Samuel Oladele , Akinola Amos Olusola
Published: July 2024

The study examined how information technology affects internal control systems in tertiary institutions in Osun State. Specific goals were to ascertain whether or not information technology has a significant impact on the internal control systems and internal audit processes of tertiary institutions. A survey research design was chosen. A sample size of 100 respondents participated in the study. This study used the stratified sampling method and a regression technique was used for data analysis. The findings showed that internal control systems and internal audit procedures in tertiary institutions in Osun State were highly influenced by information technology with t= 20.02 P< 0.0 and t= 19.049p<0.05, respectively. It was concluded that internal control systems and internal audit procedures at tertiary institutions were strengthened and improved by information technology. The study has recommended that tertiary institutions adopt information technology in order to improve their internal control frameworks. To keep their staff’s necessary skills and knowledge current, the management of tertiary institutions should encourage both on-the-job and off- the-job training in information technology. To stop fraud, internal control mechanisms should be put in place. To establish who will be held accountable for violations, tasks must be digitally separated effectively.
PERFORMANCE-BASED REWARD SYSTEM AND ORGANIZATIONAL AGILITY IN THE BANKING INDUSTRY IN NIGERIA
Authors: Issa Omolabi , Ishola Abdulrasaq Ajadi , Abdulkareem Abdulrazaq , Balogun Ebenezer Oluwadamilare
Published: July 2024

As organizations strive to maintain a competitive edge, the need for a more agile workforce has become increasingly apparent. Performance-based reward systems have emerged as a powerful tool to facilitate this transformation, by aligning employee motivation with the organization’s strategic goals. However, the overemphasis on individual performance metrics may inadvertently promote unhealthy competition and undermine collaboration. Hence this study examines the effect of performance-based reward system on organizational agility in the banking industry. Specifically, the study seeks to determine how competence-based reward system will affect organizational agility; to examine the impact of reward and incentives on organizational agility. The study has adopted a survey research design to obtain data from a population of 221 staff members of the Guarantee Trust Bank (GTB), which represent the broader banking industry in Nigeria. A sample of 142 was drawn through Taro Yamane and sampled randomly. The study used primary data and questionnaires. Multiple regression was used to test the hypotheses. The study found that organizational agility was affected by the competence-based reward system; and incentive and reward proxy by continuous improvement incentives, teamwork reward, and balancing reward objectives determines the organizational agility of the GTB and the broader banking industry in the country. In conclusion, the performance-based reward system has a significant effect on organizational agility in the banking industry in Nigeria. Thus, the study recommends that banks and other financial organizations should adopt the following aspects of a competence- based reward system such as continuous learning, cross-functional collaboration, and skill development as a strategy for achieving a high level of organizational agility in the GTB through its employees.
Metode Fuzzy AHP untuk Menentukan Indikator UMKM Menghadapi Pandemi Covid-19
Authors: Suciningtyas Laras
Published: July 2024

Adanya pandemi Coronavirus-19 menyebabkan pemerintah melakukan kebijakan PPKM dan social distance. Akibat dari pemberlakuan kebijakan ini, UMKM mengalami banyak penurunan, terutama berkaitan dengan produksi, pemasaran, dan tenaga kerja. Tujuan dari penelitian ini adalah untuk mengidentifikasi indikator apa saja yang berpengaruh terhadap UMKM dalam menghadapi Covid-19 dan industri 4.0. Permasalahan dari penelitian ini adalah banyaknya UMKM yang ada di Bangkalan madura, pelaku UMKM juga banyak yang belum mengetahui pemasaran online, marketplace, dan kurangnya pengetahuan teknologi untuk mempercepat produksi dan pemasaran. Dalam penelitian ini menggunakan metode Fuzzy AHP, metode ini digunakan untuk menentukan indikator yang paling berpengaruh terhadap keberlangsungan UMKM menghadapi pandemi Covid-19. Berdasarkan hasil penekitian, indikator yang berpengaruh terhadap pandemi Covid-19 dan industri 4.0. yaitu marketplace dan pemasaran online.
Penerapan Machine Learning pada Penjualan Produk UMKM : Studi Literatur
Authors: Maulida Hindrayani Kartika , Anjani Amalia , Lina Nurlaili Afina
Published: July 2024

Penjualan Produk UMKM di masa pandemik mengalami penurunan. Namun, konsumen beralih ke pasar online / e-commerce. Dukungan teknologi informasi pada penjualan produk UMKM sudah tidak bisa terelakkan lagi dan sudah menjadi kebutuhan. Diperlukan peningkatan produktivitas penjualan produk UMKM. Hal ini dapat diwujudkan dengan menerapkan Machine Learning (ML) pada penjualan produk. Studi pustaka dilakukan pada artikel-artikel yang telah terpilih. Hasilnya penerapan algoritma ML dapat diterapkan pada analisis sentimen, segmentasi pelanggan, prediksi harga komoditi, dan peningkatan loyalitas pelanggan.
Analisis Faktor Kesuksesan Penggunaan eBelajar Menggunakan Metode Hot-Fit di STIKI Malang
Authors: Sari Anggraini Puspita , Prasetya Dwi Arman , Al Haromainy Muhammad Muharrom , Aditiawan Firza Prima , Sihananto Andreas Nugroho , SJ Saputra Wahyu
Published: July 2024

This research case study is at the Indonesian College of Informatics and Computers (STIKI) Malang, which is located on Jl. Raya Tidar 100 Malang, Karangbesuki, Breadfruit, Malang City. The HOT Fit success model uses two methods, namely the inner model and the outer model. The outer model uses validity and reliability tests while the inner model method uses R-Square. There are 6 variables used in the HOT Fit success model, including system quality, information quality, service quality, system use, user satisfaction, and benefits. The implementation of the HOT Fit success model on the use of e-learning is expected to get positive and significant results. In addition, research results can be used as evaluation material to provide the best service to students. Based on the results of the outer model, it states that all variables are valid and reliable. While the results of the inner model show that the value of the research results is close to 1 or 100%, it is stated that all variables are good to use.
Peramalan Penumpang Pelabuhan Terbesar Indonesia Efek Pandemi COVID-19: Pendekatan Pemodelan Seasonal Autoregressive Integrated Moving Average dan Intervensi
Authors: Permata Regita Putri , Ni'mah Rifdatun , Chaniago Irma Octavia
Published: July 2024

Peramalan terhadap pergerakan penumpang pelabuhan yang cenderung fluktuatif dan tidak menentu diperlukan untuk meningkatkan ketepatan pengembangan pelabuhan. Pemodelan dan peramalan jumlah penumpang pelabuhan membutuhkan metode yang dapat menangkap efek kebijakan pembatasan pergerakan manusia selama masa pandemi COVID-19, salah satunya model intervensi. Model peramalan SARIMA dibangun dari data jumlah penumpang secara bulanan di pelabuhan utama dalam negeri mulai periode Januari 2006 hingga Februari 2023. Pembentukan fungsi intervensi ditetapkan pada Maret 2020 sesuai pemberlakuan kebijakan pembatasan pergerakan. Hasil penelitian menunjukkan bahwa terjadi penurunan drastis pada ke-empat pelabuhan pada bulan Mei 2020 akibat pembatasan sosial. Analisis intervensi mampu mengetahui besar dan juga efek pandemi Covid-19 terhadap jumlah penumpang pelabuhan. Model Intervensi SARIMA merupakan penerapan analisis intervensi yang tepat untuk menjelaskan dinamika dan dampak interupsi dan perubahan deret waktu secara lebih rinci dan tepat dengan pola musiman pada data.
Implementasi Metode Clustering SOM Dalam menganalisis Alasan Tidak KB di Kabupaten Temanggung
Authors: Faiz Mufida Fauziah , Fauzan Achmad
Published: July 2024

Kelahiran adalah kemampuan untuk menciptakan populasi atau berproduksi yang sebenarnya. Tingkat kesuburan total adalah rata-rata jumlah anak yang dimiliki wanita di masa suburnya yaitu antara usia 15 dan 49. Angka kelahiran total ini merupakan indikator penting dan indikator strategis untuk menentukan seberapa besar suatu negara atau seluruh negara mengelola penduduknya melalui program Keluarga Berencana (KB). Banyak masyarakat yang tidak menggunakan program KB dikarenakan alasan tertentu. Identifikasi alasan tidak menggunakan KB didaerah atau kecamatan sangat diperlukan sebagai upaya untuk mengendalikan pertambahan penduduk. Jadi, penting apabila dilakukan clustering pada kecamatan yang penduduknya tidak menggunakan KB karena berbagai alasan. Self-organizing map (SOM) Kohonen digunakan sebagai metode pengelompokan. SOM adalah suatu metode analisis data berdimensi tinggi, tidak memerlukan asumsi dan dapat menghasilkan penyajian informasi. Menggunakan data 14 variabel alasan Pasangan Usia Subur (PUS) tidak menggunakan KB dikarenakan alasan tertentu di Kabupaten Temanggung yang berasal dari data Dinas Pengendalian Penduduk, Keluarga Berencana, Pemberdayaan Perempuan dan Perlindungan Anak (DPPKBPPPA). Dari data didapatkan 2 cluster yang memiliki ciri – ciri  tersendiri. Cluster terbentuk yaitu cluster 1 dari 2 kecamatan, dan cluster 2 dari 18 kecamatan.
PELATIHAN PEMBUKUAN SEDERHANA PADA UMKM DI DESA NGEPOH, KABUPATEN PROBOLINGGO
Authors: Atanti Della , Vendy Vicky
Published: July 2024

UMKM berperan penting dalam perekonomian Indonesia dan memiliki potensi yang besar untuk meningkatkan kesejahteraan masyarakat. Perkembangan UMKM tidak terlepas dari kemampuan pemilik usaha dalam mengelola dan mencatat laporan keuangannya. Laporan keuangan sangat penting dimiliki oleh para pelaku usaha untuk mengetahui kondisi usahanya. Pelaku UMKM di Desa Ngepoh, Kecamatan Dringu, Kabupaten Probolinggo masih belum melakukan pembukuan karena menganggap pembukuan tidak penting. Tujuan dari kegiatan pengabdian ini adalah para pelaku UMKM memahami pentingnya pembukuan dan dapat menyusun pembukuan sederhana secara mandiri terkait pemasukan, pengeluaran, biaya serta laba yang didapatkan sehingga mengetahui perkembangan usahanya. Metode pelaksanaan pengabdian ini terdiri dari dua tahap, yaitu sosialisasi dan pelatihan. Dalam tahap awal, sosialisasi dilakukan untuk menyampaikan informasi kepada para pelaku UMKM tentang pentingnya pembukuan. Tahap kedua melibatkan pelatihan praktis untuk membantu mereka dalam mengimplementasikan pembukuan sederhana dalam usaha mereka. Hasil dari kegiatan ini adalah peningkatan pengetahuan dan keterampilan para pelaku usaha dalam menjalankan usahanya melalui pembukuan sederhana yang mudah diaplikasikan untuk mencapai usaha yang berkelanjutan.
English for Marine Industry Training in PT 4S Marine, Sidoarjo
Authors: VSJ Dwi Wahyuningtyas , VSJ Naajihah Mafruudloh , VSJ Zainal Abidin Achmad , VSJ Rima Nur Pitasari , VSJ Metrya Damayanti , VSJ Lusia Ervi Oktaviarika
Published: July 2024

Indonesia is a maritime and archipelagic country surrounded by seas. As a maritime country, Indonesia has relied on its natural resources from the seas for years. It is also rich in marine resources such as fish, seaweed, shells, and other seafood that become essential trade commodities. This situation makes speedboat as one of the essential things in processing marine resources. It then boosts the establishment of speedboat companies in Indonesia, one of which is PT 4S Marine, located in Sidoarjo. The company started its production in 2016. It produces speedboats, boat fiber, speedboat aluminum, marine equipment, and wooden boats. This company has already received many orders from around Indonesia, and this makes the documents needed are still written in Bahasa Indonesia. However, when the company buys equipment from other countries, it requires filling out some documents written in English. Therefore, the staff in the company needs to learn more about reading and writing documents in English. Besides, the staff also needs to master the communication skills in English. As they also need to communicate with the sellers from other countries. This reason then initiates the community service program held by PIKAT (Pemanfaatan IPTEKS Bagi Masyarakat) of UPN “Veteran” Jawa Timur. From the program that had been run for one month, the team had successfully identified the problems of the staff, especially in writing and speaking in English, and gave the staff training both online and offline. The program continues via the Whatsapp group. In the future, it is expected that the company staff can use English in written and spoken form more fluently so that the company can reach the international market and sell more products to other countries.
Distributed Transactions in Cloud Computing: A Review Reliability and Consistency
Authors: Ferzo Barwar , Zeebaree Subhi R. M.
Published: July 2024

The challenges of managing distributed transactions in cloud computing are discussed in this paper. The paper places an emphasis on the critical balance that must be maintained between reliability and consistency in the face of complexities such as hardware failures, network outages, and varying latencies. It sheds light on the delicate balance that must be maintained in order to guarantee that transactions in cloud environments are both reliable and consistent. Cloud environments are prone to hardware glitches and network disruptions. In addition, the paper delves into novel approaches with the objective of cultivating a computing ecosystem that is both resilient and dependable in the face of the ever-changing requirements of cloud computing, also a comparison table is presented for all the literature reviewed.
A Review on Deep Reinforcement Learning for Autonomous Driving
Authors: Kamil Zheen , Abdulazeez Adnan Mohsin
Published: July 2024

Autonomous driving technology has gained significant attention, offering opportunities to modernize transportation systems worldwide. Deep reinforcement learning (DRL) has emerged as a robust approach to design smart driving policies for intricate and changeable environments. This paper provides a detailed investigation of state-of-the-art DRL methodologies that are effectively applied to autonomous driving. It begins by providing a clear explanation of the fundamental concepts of deep learning and reinforced learning, highlighting their application for control of self-driving vehicles. Consequently, the paper presents an overview of various DRL algorithms, including Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG), and Actor-Critic methods, describing their structures, training approaches, and applications in autonomous driving situations. Recent advancements in DRL research, such as domain adaptation, imitation learning, and meta-learning, have also been addressed in the study, with an investigation of their potential implications for autonomous driving. Via a thorough assessment of current literature, key trends, challenges, and research directions have been identified for exploiting DRL in autonomous car development. This review intends to provide a comprehensive understanding of the current and future possibilities of DRL for self-driving vehicles to researchers, practitioners, and enthusiasts.
Prostate Cancer: MRI Image Detection Based on Deep Learning: A Review
Authors: Alhamzo Jelan Salih Jasim , Abdulazeez Adnan Mohsin
Published: July 2024

This comprehensive study delves into the transformative role of artificial intelligence (AI) and deep learning (DL) in the realm of prostate cancer care, an issue of paramount importance in men’s health worldwide. Prostate cancer, marked by the unchecked growth of cells in the prostate gland, poses risks of tumor formation and eventual metastasis. The crux of combating this disease lies in its early detection and precise diagnosis, for which traditional screening methodologies like Prostate-Specific Antigen (PSA) tests and multiparametric Magnetic Resonance Imaging (mp-MRI) are fundamental. The introduction of AI and DL into these diagnostic avenues has been nothing short of revolutionary, enhancing the precision of medical imaging and significantly reducing the rates of unnecessary biopsies. The advancements in DL, particularly through the use of convolutional neural networks (CNNs) and the application of multiparametric MRI, have been instrumental in improving the accuracy of diagnoses, foreseeing the progression of the disease, and tailoring individualized treatment regimens. This paper meticulously examines various DL models and their successful application in the detection, classification, and segmentation of prostate cancer, establishing their superiority over conventional diagnostic techniques. Despite the promising horizon these technologies offer, their implementation is not without challenges. The requisite for specialized expertise to handle these advanced tools and the ethical dilemmas they present, such as data privacy and potential biases, are significant hurdles. Nevertheless, the potential of AI and DL to inaugurate a new chapter in prostate cancer management is undeniable. The emphasis on interdisciplinary collaboration among scientists, clinicians, and technologists is crucial for pushing the boundaries of current research and clinical practice, ensuring the ethical deployment of AI and DL technologies. This collaborative effort is vital for realizing the full potential of these innovations in providing more accurate, efficient, and patient-centric care in the fight against prostate cancer, heralding a future where the burden of this disease is significantly mitigated.
Financial Fraud Detection Based on Machine and Deep Learning: A Review
Authors: Rojan Zaki
Published: July 2024

Financial fraud detection is crucial for protecting the integrity of financial markets and institutions globally. Recent advancements in machine learning (ML) and deep learning (DL) have dramatically enhanced the ability to detect and prevent fraudulent activities across various sectors. This review paper examines the implementation of ML and DL in fraud detection, highlighting the evolution from traditional methods to sophisticated models like neural networks, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). We explore different ML techniques such as supervised, unsupervised, and hybrid approaches, their effectiveness in handling large, imbalanced datasets, and their application in real-world scenarios. Special attention is given to the integration of technologies like blockchain and IoT with AI to innovate fraud detection frameworks. Despite the promising advancements, challenges remain, such as the need for large volumes of labeled data, potential model bias, and the black-box nature of many deep learning models. Future directions focus on enhancing model transparency, addressing privacy concerns, and expanding the use of federated learning. This review aims to demonstrate the effectiveness of current technologies and encourage their adoption in enhancing global financial security
IMPLEMENTASI METODE DEMPSTER SHAFER PADA SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT TROPIS
Authors: Siregar Ratu Mutiara
Published: July 2024

Penyakit tropis merupakan berbagai penyakit infeksi yang banyak terjadi di wilayah tropis dan subtropis. Penyakit ini dapat disebabkan oleh infeksi virus, bakteri, jamur, dan parasit, dan biasanya ditularkan melalui vektor atau kontak langsung. Di Indonesia, beberapa penyakit tropis yang umum terjadi adalah demam berdarah, malaria, kaki gajah, dan tuberkulosis, kecacingan dan infeksi jamur. Mengenai penyakit tropis sangat penting untuk menemukan cara-cara mendiagnosis dan mengobati penyakit tersebut.
Oleh sebab itu salah satu metode yang dapat digunakan dalam penelitian ini adalah sistem pakar berbasis metode dempster shafer. Metode ini dapat digunakan untuk mendiagnosis penyakit tropis dengan akurasi yang tinggi, sehingga memungkinkan penanganan dan pencegahan yang lebih efektif. Sistem pakar dengan menggunakan metode dempster shafer ini dirancang dengan menggunakan data gejala penyakit tropis yang dikumpulkan dari seorang pakar.
Hasil yang didapat dari penelitian ini yaitu sebuah sistem yang berfungsi memecahkan masalah dan dapat memberi informasi tentang penyakit beserta gejala yang dialami oleh pengguna. Dengan menggunakan sistem berbasis web sebagai akses bagi masyarakat agar dapat lebih mudah mendapatkan hasil dan informasi yang akurat.
Program Kitasuka (Kesehatan Gigi dan Kesehatan Anak Paud) sebagai Upaya Peningkatan Perilaku Hidup Bersih dan Sehat di Rancaekek
Authors: Haroen Hartiah , Juniarti Neti , Sari Citra Windani Mambang , Witdiawati Witdiawati , Mulya Adelse Prima
Published: July 2024

ABSTRAK Stunting merupakan permasalahan di Indonesia. Salah satu pencegahan stunting adalah penerapan perilaku hidup bersih dan sehat termasuk di lingkungan Pendidikan Anak Usia Dini (PAUD). Anak PAUD memiliki peran penting dalam membentuk perkembangan anak sejak dini. Melalui edukasi dan demonstrasi aktivitas kebersihan cuci tangan dan sikat gigi, anak-anak PAUD diharapkan mampu memahami dan mengaplikasikan langkah-langkah penting dalam menjaga kebersihan diri dan lingkungan. Hasil pengabdian dapat diidentifikasi bahwa terdapat peningkatan sebanyak 68% pada skor pre-test dan post-test. Perilaku hidup sehat dan bersih pada anak sekolah sangatlah penting untuk mendukung pertumbuhan dan perkembangan mereka secara optimal. Perilaku hidup sehat dan bersih pada anak sekolah sangatlah penting untuk mendukung pertumbuhan dan perkembangan mereka secara optimal. Kata Kunci: Kitasuka, Perilaku Hidup Bersih, Stunting  ABSTRACT Stunting is a problem in Indonesia. One of the prevention of stunting is the implementation of clean and healthy living behaviors including in the Early Childhood Education (PAUD) environment. PAUD children have an important role in shaping children's development from an early age. Through education and demonstration of hand washing and tooth brushing hygiene activities, PAUD children are expected to be able to understand and apply important steps in maintaining personal and environmental hygiene. The results of the service can be identified that there is an increase of 68% in the pre-test and post-test scores. Healthy and clean living behavior in school children is very important to support their optimal growth and development. Healthy and clean living behavior in school children is very important to support their optimal growth and development. Keywords: Kitasuka, Hygiene Behavior, Stunting
Pendampingan Pemenuhan ASI Eksklusif pada Bayi dan Modifikasi Pengolahan Bahan Makanan oleh Ibu Untuk Pencegahan Stunting pada Balita di Desa Jelegong Kecamatan Rancaekek Kabupaten Bandung
Authors: Mardhiyah Ai , Eriyani Theresia , Rakhmawati Windy , Rukmasari Ema Arum , Fitria Nita , Hendrawati Sri
Published: July 2024

ABSTRAK Pencegahan stunting dapat dilakukan dengan pemberian ASI eksklusif selama enam bulan pertama kehidupan, tetapi juga memerlukan pendekatan multisektoral, termasuk perbaikan gizi, sanitasi, kebersihan, kesehatan, dan pengentasan kemiskinan. ASI eksklusif memiliki manfaat kesehatan jangka panjang untuk ibu dan anak, termasuk mengurangi risiko kelebihan berat badan dan obesitas pada anak. Pemberian makanan pendamping ASI (MPASI) menjadi penting ketika ASI tidak lagi cukup. Prinsip-prinsip seperti ketepatan waktu, keadekuatan, keamanan, dan pemberian makanan yang benar harus diikuti. Kampanye kesehatan dapat berperan dalam meningkatkan kesadaran akan pentingnya praktik-praktik ini untuk mencegah stunting. Tujuan meningkatkan pengetahuan masyarakat khususnya ibu yang memiliki balita mengenai pemenuhan ASI eksklusif dan pengolahan bahan makanan pendamping ASI. Penelitian ini menggunakann metode sosialisasi serta pemberian booklet kepada audiens berisikan materi tentang pengetahuan pemenuhan gizi ASI eksklusif pada ibu. Sebagian besar peserta telah memahami materi yang diberikan oleh kelompok. Perlu adanya kegiatan yang berfokus pada terhadap pengolahan bahan makanan dan memanfaatkan bahan yang ada menjadi makanan dengan nilai gizi yang tinggi. Kata Kunci: Stunting, MP-ASI, ASI Eksklusif  ABSTRACT Stunting prevention can be done with exclusive breastfeeding during the first six months of life, but also requires a multisectoral approach, including nutrition improvement, sanitation, hygiene, health, and poverty alleviation. Exclusive breastfeeding has long-term health benefits for mothers and children, including reducing the risk of overweight and obesity in the child. Breastfeeding (MPASI) becomes essential when milk is no longer enough. Principles such as timeliness, adequacy, security, and proper feeding must be followed. Health campaigns can play a role in raising awareness of the importance of these practices in preventing stunting. Increase public awareness especially of mothers who have news about exclusive breastfeeding and processing of breast-feeding ingredients. The study uses methods of socialization as well as giving a booklet to the audience containing material on the knowledge of maternal exclusive breastfeeding. Most of the participants have understood the material given by the group. There needs to be activities that focus on the processing of food materials and the utilization of existing materials into foods with high nutritional value. Keywords : Stunting, MP-ASI, Exclusive Breastfeeding
The integration of the ESG agenda into the regions of the Russian Federation
Authors: Anisimova Alina I. ,   Financial University under the Government of the Russian Federation
Published: July 2024

In recent years, there has been an increased interest in non-financial indicators, in particular environmental, social and managerial factors representing the concept of ESG (Environmental, Social and Governance). The ESG concept allows for a comprehensive assessment of long-term sustainability, which goes beyond traditional financial metrics. The ESG concept represents a comprehensive assessment of long-term sustainability that goes beyond traditional financial metrics. The development of indicators to quantify the impact of ESG agenda has allowed extensive empirical research at the micro level. However, there remains insufficient research on the impact of ESG at the macro level. This article examines whether the application of the ESG indicator system can affect the economic attractiveness of Russian regions. The study covers 85 regions of the Russian Federation (excluding the Donetsk People's Republic, Luhansk People's Republic, Zaporozhskaya oblast and Khersonskaya oblast) for the period from 2014 to 2022. To conduct the study, descriptive analysis and linear regression of panel data were used to investigate the relationship between ESG indicators and the economic attractiveness of Russian regions. The results of the study showed that the integration of the ESG indicators system affects the economic attractiveness of regions. Based on the proposed ESG system, it is possible to compile a regional index and an ESG rating to assess the attractiveness of regions and the quality of life. During this study, limitations were identified and directions for future research were proposed.
The role of the human factor in ensuring the production safety of industrial enterprises
Authors: Lyskova Irina E. ,   Komi Republican Academy of State Service and Administration
Published: July 2024

Topic. The humanitarian and socio-cultural aspects of economic development are attracting increasing attention from modern researchers. Special attention should be paid to the characterization of the role of the human factor in ensuring industrial safety. The article updates the conceptual and normative foundations of the influence of the human factor on the safety of industrial production in the Russian Federation. The purpose of the study is to identify the structural and substantive properties of the human factor and substantiate its impact on ensuring the production safety of industrial enterprises. The objectives of the study are to reveal the specifics of the influence of the human factor on the provision of technical and social security of industrial production, to characterize the tasks of management of psychosocial risks of production safety of industrial enterprises. The object of the study is the process of ensuring industrial safety of industrial enterprises. The subject of the study is the role of the human factor in ensuring the production safety of industrial enterprises. Methodology. The research methodology is based on a process and systematic approach to the management of production safety of industrial enterprises. Results. The main result of the study is the substantiation of the importance and systematization of the conceptual and normative foundations for assessing the impact of the human factor on the industrial safety of industrial enterprises. Some practical aspects of the topic are characterized by the example of the nuclear industry. Conclusions. The key role of the human factor in ensuring production safety is to increase the reliability of technical and social systems of industrial production. The main tool contributing to reducing the negative impact of the human factor on accident rates, occupational injuries and occupational morbidity of industrial workers should be recognized as a production safety culture.
Comparative assessment of modern methods of diagnosis of subclinical mastitis in cows
Authors: Ordin Y. , Ivasenko B. , Yeroshenko O.
Published: July 2024

Diseases of the mammary gland, among which mastitis is the most common, cause significant damage to dairy farming. On different farms, from 3 to 50% of lactating cows are sick, and only in 30% of cases the disease manifests itself clinically, and in most cases it has a subclinical course. Early diagnosis of the subclinical stage of mastitis is of great economic, sanitary and technological importance. The effectiveness of timely treatment of sick animals and prevention of the clinical stage of mastitis and ensuring normal milk quality largely depends on it. The study was conducted at the National Research Center of the Ukrainian National Academy of Sciences on 92 lactating cows of the Ukrainian black-spotted breed. Each animal was diagnosed with clinical and subclinical mastitis. Research on subclinical mastitis was carried out using the German milk test and determining the electrical resistance of milk. The diagnostic value of these methods of settling breakdown was monitored. According to the results of the standing test, subclinical mastitis was detected in 30 (32.6%) of 92 lactating cows during the study (49 quarters were affected). Indirect determination of the number of somatic cells using the German milk test allows rapid diagnosis of subclinical mastitis with an accuracy of 84.8%. The use of the "Electronic determinant of mastitis in cows" with the interpretation of the obtained results according to the value of electrical resistance or the difference between the indicators of individual quarters according to the instructions ensures the accuracy of the result in 82.6 and 91.3% of cases, respectively. It is advisable to interpret the indicators of electrical resistance of milk taking into account both indicators. At the same time, cows with indicators of the numerical value of the electrical resistance of milk of 340 (u).o. should be considered healthy. and more and with a difference between the indicators of the quarters of 50 (u).o. and less; for sick animals, the electrical resistance of the secretion of the mammary gland in the range of 260 (u).o. is characteristic. And less with a difference between the largest and smallest indicators of individual quarters of 100 (u).o. and more. A diagnosis of subclinical mastitis can be considered doubtful if the electrical resistance of milk is between 270 and 330 (u).o. and differences between indicators of quarters 60 - 90 (u).o.
Key words: cows, subclinical mastitis, electronic mastitis detector, EIMU.
Methodical approaches to the analysis of sugar market conditions
Authors: Parkhomenko L.
Published: July 2024

The article is devoted to the methodical approaches to the analysis of sugar market conditions. It is argued that the leading role in comprehensive studies of the market of agricultural products and food belongs to the analysis of its conjuncture, which determines the quantitative parameters of development and the general qualitative characteristics of market state. However, the category of «market conditions» has not been unambiguously defined yet. Views on the subject, methods and goals of market research are expressed by representatives of different schools.
The main groups of analysis indicators and sugar market conditions forecast have been allocated: production indicators; indicators of domestic turnover; indicators of foreign trade; indicators of the dynamics and price level; financial indicators that allow taking into account the impact of factors and conditions combination of the external and internal environment of market entities. The author notes that in foreign practice, business activity indices (dynamics of the main characteristics of production of goods, inventories, prices) are often used to assess market conditions. It is noted that in order to analyze the conjuncture of any market for agricultural products and food, the indicators of the general economic situation are evaluated, that is, the level of employment in general and by individual industries, the total volume of investments and the volume of investments by industries, etc.
It is proved that in modern conditions the role and importance of studying the processes taking place in the market of agricultural products and food are constantly growing. The study of trends in the development of the agricultural market, factors of influence, cause-and-effect relationships and consequences of possible changes, allows to form an information and analytical base for determining priority strategic directions, developing a mechanism for implementing the selected strategies.
It is concluded that a comprehensive study of the sugar market is a necessary prerequisite for the formation of a strategy and tactics for its development and includes the collection, analysis, evaluation and interpretation of data on the state, trends and prospects of its development. In order to conduct a comprehensive study of the sugar market and obtain clear information, it is most expedient, in the author`s opinion, to use the following methodological principles: purposefulness; comprehensiveness; consistency; systematic; dynamism; taking into account sectoral and territorial specifics; objectivity; efficiency.
Key words: agricultural and food market, sugar market, market research, supply and demand.
Slaughter and meat qualities of purebred and crossbred bulls of the Ukrainian Black-and-White Dairy breed
Authors: Kruk O. , Ugnivenko A.
Published: July 2024

Predicting the composition of cattle carcasses is crucial for both producers and processors. The commercial value of carcasses is related to the composition of their tissues (the ratio of muscle, fat and bone). Ukraine, with a signifcant portion of beef from dairy breeds, must align national carcass evaluation standards with international norms due to its accession to the European Community. The article presents the results of studies of the qualitative characteristics of carcasses of 21-month-old bulls of the Ukrainian Black-and-White dairy breed and its crossbreds with Holstein. The animals were slaughtered in a slaughterhouse in the village of Kalynivka, Brovary district, Kyiv region. The diference between the groups of bulls by age was up to 5 %. After slaughtering the animals, the conformation of the carcasses was determined in accordance with the EUROP (2008) methodology. According to the JMGA classifcation (2000), the colour of muscle and adipose tissue was assessed using a colour scale from 1 to 7, and the marbling of the m. longissimus dorsi between the 12th and 13th rib was assessed on a scale from 1 to 12. Purebred bulls of the Ukrainian Black-and-White Dairy breed tended to be superior to crossbreds in terms of live and slaughter weight. According to the morphological composition of carcasses, purebred animals also tended to be superior to their mixed peers in terms of muscle tissue content, including the highest and frst grades. Evaluation of the quality of carcasses of experimental animals according to world standards showed that 21-month-old bulls of the Ukrainian Black-and-White dairy breed received a slightly higher score (by 6.7 %) for carcass conformation (meatiness) and marbling (by 12.9 %). However, they tended to have a smaller (by 14.2 %) thickness of fat on the carcass and a lower (by 12.0 %) development of fat. The practical signifcance of the data is to obtain knowledge about the signs of slaughter, morphological composition and quality characteristics of carcasses of dairy animals of Ukraine, which are fed by farms for slaughter, which are used in world practices to determine the value of carcasses.
Key words: conformation, marbling, technological properties of beef, meat productivity.
The study of capa-casein gene polymorphism in cattle populations created on the maternal basis of the Lebedyn breed
Authors: Ladyka V. , Malikova A. , Skliarenko Y. , Pavlenko Y.
Published: July 2024

Scientifc studies were conducted in breeding herds of the Ukrainian Brown dairy breed and the Sumy inbred type of the Ukrainian Black-and-White dairy breed to investigate the peculiarities of capa-casein gene polymorphism. What these breeds have in common is their descent from the same autochthonous breed, the Lebedyn breed. The process of creating these breeds was distinguished by the use of sires of diﬀerent breeds, namely Swiss and Holstein. Genotyping of 60 cows (30 of each breed) was carried out. The polymorphism of the capa-casein gene was determined in the genetic laboratory of the Bogomolets Institute of Physiology of the National Academy of Sciences of Ukraine using molecular biological analysis of allele recognition by real-time polymerase chain reaction (PCR). It was found that Ukrainian brown dairy cows were distinguished by a higher frequency of the desired homozygous BB genotype, it was 40%. A higher frequency of homozygous genotype AA was characterised by cows of Sumy inbred type of Ukrainian Black-andWhite dairy breed (68 %). The proportion of heterozygous genotype AB was higher in cows of the Ukrainian Brown dairy breed (48 %). The frequency of the B allele in animals of the Ukrainian Brown dairy breed was 0.64, while in cows of the Sumy inbred type of the Ukrainian Black-and-White dairy breed it was only 0.20. Correspondingly, a higher frequency of allele A was observed in animals of the Sumy inbred type of the Ukrainian Black-and-White dairy breed (0.80). The ratio of allele frequencies in the animals of the studied breeds was, respectively, 1.8 times and 4 times. The actual proportion of heterozygotes was lower than expected in animals of the Sumy inbred type of the Ukrainian Black-and-White dairy breed. On the contrary, the actual heterozygosity was higher than expected in cows of the Ukrainian Brown dairy breed. The results of the analysis of the breeding data of the sires from which the animals in the experimental farms originated indicate that a small proportion of them were evaluated for the capa-casein genotype. Of the sires evaluated, only 44% of Holstein sires had the BB genotype, while 67% of Swiss sires had the BB genotype. Considering the results of the research, we believe that the formation of herds with the BB genotype is possible in the populations of both studied breeds. In the future, it will be possible to create quickly enough breeding herds with specifed genetic parameters at the request of processing enterprises. For this purpose, it is necessary to use sires that have the BB genotype for the capa-casein gene.
Key words: breed, milk yield, fat content, protein content, capa-casein, genotype, allele.
Unlocking Oral Proficiency Through the Shadowing Technique Combined with VOA
Authors: Surayya Siti Ayu , Prasetyaningrum Ari , Usuludin Usuludin , Khatami Ahmad
Published: July 2024

Speaking is a multifaceted skill that presents notable difficulties for students. To effectively tackle these challenges, educators need to employ successful teaching strategies. This study examines the impact of the Shadowing technique using VOA (Voice of America) on improving students' speaking skills. The experimental research involved a comparison between two groups of fourth-semester undergraduate students: an experimental group that received instruction through the Shadowing technique and a control group that received no instruction. The study sample consisted of 20 English major students. Pre- and post-test scores were analyzed using the Mann-Whitney U test, which revealed significant improvements in the speaking abilities of the experimental group. Although both groups started with similar baseline scores, the post-test results indicated a significant increase in the experimental group, with a mean score of 71.70, compared to the control group's mean score of 65.20. A p-value of 0.044 led to the rejection of the null hypothesis, confirming the effectiveness of the Shadowing technique through VOA in enhancing speaking skills. In conclusion, this study offers empirical evidence that the Shadowing technique via VOA significantly boosts the speaking abilities of undergraduate students, supporting its potential as a valuable approach for teaching speaking skills.
Revenues from Environmental Taxes, with Emphasis on Pollution Taxes during the Corona Crisis
Authors: Mihaliková Eva ,   Pavol Jozef Šafárik University in Košice, Petrovčíková Eva
Published: July 2024

Improving the quality of the environment and reducing its pollution should be a global priority. Many countries are developing their environmental policies and trying to achieve their objectives through a variety of instruments. This paper highlights the application of economic instruments of environmental policy. It focuses on the analysis of environmental tax revenues in the European Union and in Slovakia, with a focus on the period of the Covid-19 pandemic. It then focuses on the analysis of a specific pollution tax in Slovakia, highlighting the factors that influenced its level.
Implementasi Manajemen Bimbingan Konseling Behavior Dalam Peningkatan Disiplin Belajar Pada Siswa Di Smp A. Wahid Hasyim Tebuireng Jombang
Authors: Rasminih  , Nur 'Azah
Published: July 2024

Manajemen dalam konteks bimbingan konseling merupakan suatu pendekatan yang penting untuk mengatur, mengorganisasi, dan mengelola layanan konseling yang efektif dalam berbagai Lembaga pendidikan dan pelayanan sosial. Tujuan penelitian adalah 1) perencanaan manajemen bimbingan konseling behavior dalam peningkatan didiplin belajar pada siswa di SMP A. Wahid Hasyim Tebuireng, 2) pelaksanaan manajemen bimbingan konseling behavior dalam peningkatan didiplin belajar pada siswa di SMP A. Wahid Hasyim Tebuireng, 3) evaluasi manajemen bimbingan konseling behavior dalam peningkatan didiplin belajar pada siswa di SMP A. Wahid Hasyim Tebuireng, 4) faktor pendukung dan penghambat manajemen bimbingan konseling behavior dalam peningkatan didiplin belajar pada siswa di SMP A. Wahid Hasyim Tebuireng. Penelitian ini adalah penelitian kualitatif pendekatan deskriptif studi kasus. Metode pengumpulan data melibatkan observasi, wawancara, dan dokumentasi. Berdasarkan hasil penelitian ditemukan bahwa: Perencanaan manajemen bimbingan konseling behavior dalam peningkatan disiplin belajar pada siswa di SMP A. Wahid Hasyim Tebuireng Jombang, yaitu pembuatan program kerja, rencana RPL, dokumen data kegiatan layanan bimbingan konseling siswa. Pelaksanaan manajemen bimbingan konseling behavior, yaitu sesuai dengan kebutuhan dan permasalahan yang dialami oleh siswa. Evaluasi manajemen bimbingan konseling perilaku adalah upaya untuk menilai seberapa efektifnya program layanan bimbingan dan konseling yang telah diimplementasikan. Ini dilakukan dengan mengidentifikasi standar atau kriteria keberhasilan yang digunakan untuk mengukur pencapaian hasil dari program tersebut. Faktor pendukung dan penghambat manajemen bimbingan konseling behavior, yaitu Adanya rasa semangat siswa, pemberian materi oleh guru, dukungan dari seluruh pihak sekolah. faktor penghambatnya adalah dalam penyusunan program yang sesuai, untuk menangani permasalahan siswa dengan kondisi siswa yang berbeda beda.
Feasibility of sliding base isolation for rubble stone masonry buildings in the Himalayan Mountain range
Authors: Suzuki Yusuke , Tada Mayako , Enokida Ryuta , Takagi Jiro , Araki Yoshikazu , Pareek Sanjay , Lee Sanghun , Ikago Kohju , Guo Jia , Shrestha Kshitij C. , Fukuda Iori , Masui Takeshi
Published: July 2024

This paper studied the feasibility of a sliding base isolation layer to be used in rubble stone masonry buildings in rural areas in the Himalayan Mountain range to provide robust protection to important building like schools against strong earthquakes. In this paper, we carried out on-site investigations, quasi-static tests, and shaking table tests focusing on constructability as well as isolation performance. From the results of the feasibility study, the combination of styrofoam, concrete slab, and grease was found to be the most feasible to be used as the upper element, the lower element, and the lubricant, respectively, in the sliding isolation layer. The key features of the present sliding base isolation layer are: 1) the use of the materials that exist in rural mountain areas or those that can be easily transported from the neighboring towns and cities and 2) ease of construction and minimal change from the current construction practice. From the shaking table tests, we identified the conditions, e.g., grease amount, grease type, normal stress at the interface, and roughness of concrete slab surface, to achieve dynamic friction coefficients ranging from 0.08 to 0.16, suitable for sliding base isolation.
Uncovering hidden genetic variations: long-read sequencing reveals new insights into tuberous sclerosis complex
Authors: Duan Jing , Pan Shirang , Ye Yuanzhen , Hu Zhanqi , Chen Li , Liang Dachao , Fu Tao , Zhan Lintao , Li Zhuo , Liao Jianxiang , Zhao Xia
Published: July 2024

Background

Tuberous sclerosis is a multi-system disorder caused by mutations in either TSC1 or TSC2. The majority of affected patients (85%–90%) have heterozygous variants, and a smaller number (around 5%) have mosaic variants. Despite using various techniques, some patients still have “no mutation identified” (NMI).

Methods

We hypothesized that the causal variants of patients with NMI may be structural variants or deep intronic variants. To investigate this, we sequenced the DNA of 26 tuberous sclerosis patients with NMI using targeted long-read sequencing.

Results

We identified likely pathogenic/pathogenic variants in 13 of the cases, of which 6 were large deletions, four were InDels, two were deep intronic variants, one had retrotransposon insertion in either TSC1 or TSC2, and one was complex rearrangement. Furthermore, there was a de novo Alu element insertion with a high suspicion of pathogenicity that was classified as a variant of unknown significance.

Conclusion

Our findings expand the current knowledge of known pathogenic variants related to tuberous sclerosis, particularly uncovering mosaic complex structural variations and retrotransposon insertions that have not been previously reported in tuberous sclerosis. Our findings suggest a higher prevalence of mosaicism among tuberous sclerosis patients than previously recognized. Our results indicate that long-read sequencing is a valuable approach for tuberous sclerosis cases with no mutation identified (NMI).