bluuebunny/crossref_metadata_2025 huggingface dataset:
Application Simulation Research Based on Visual Image Capture Technology in Sports Injury Rehabilitation
Authors: Tang Xun
Published: June 2024

To capture and analyze the motion state of patients in real time and improve the evaluation effect of sports injury, the research is based on image recognition in visual image capture technology. Firstly, multiscale attention mechanism was introduced into U-Net image segmentation model to improve the pre-processing of image recognition. Then, the image recognition model of convolutional neural network is optimized by gradient class weighted activation mapping. The combination of the two is applied to the sports injury image processing to verify the effect. The results show that the F1 score and Precision values of the improved segmentation model in the database reach 98.85% and 98.74%, respectively. The segmentation accuracy is obviously improved. The accuracy of the optimized image recognition method in the training set and the test set is about 96% and 98%, respectively. After the combination of the two methods, the processing accuracy of sports injury medical images is 97%, and the running time is within 4s. It has high accuracy and processing efficiency, providing a technical and methodological basis for sports injury rehabilitation training.
Automated Retinal Image Analysis to Detect Optic Nerve Hypoplasia
Authors: Celik Canan , Yücadag İbrahim , Akçam Hanife Tuba
Published: June 2024

Identification of the optic disc and fovea is crucial for automating the diagnosis and screening of retinal diseases. Based on quantitative calculations, this study presents a decision support system for doctors that automatically detect optic nerve hypoplasia. For disease diagnosis, U-Net architecture is used, which uses a pre-trained ResNet encoder to segment the optic disc and fovea structures. An important aspect of the proposed technique is that pretrained ResNet and U-Net are used together, providing robust performance in the detection of optic nerve hypoplasia. Our proposed architecture was tested on retinal images from Messidor, Diaretdb1, DRIVE, HRF, APTOS, and IDRID. In addition, a special database called ONH-NET was created based on 189 retinal images obtained from Düzce University, Department of Ophthalmology. Messidor database test images showed,0. 9069 IOU Score, 0.9626 Sensitivity, 0.9411 Precision, 0.9974 Accuracy and 0.9505 dice-coefficient values in optic disc detection, and 0.8282 IOU score, 0.8442 sensitivity, 0.8252 precision, 0.8992 Accuracy, 0.7873 dice coefficient values were obtained in fovea detection. We computed diameter optic disc to macula radius ratios from segmented optic disc and fovea for screening optic nerve hypoplasia and achieved 100% success.
Helmet Detection Based on Context Enhancement Pyramid Under Surveillance Images
Authors: Xu Zhigang , Li Yugen
Published: June 2024

Helmet detection is of great significance for realizing the automated management of industrial safety. To address the problem that existing object detection methods have insufficient ability to detect helmet small objects under surveillance images, this paper proposes a helmet detection based on context enhancement pyramid under surveillance images to realize the automatic detection task of helmet objects. The method helps the network improve position localization for small-scale helmet objects by adding a high-resolution detection layer to YOLOv5. Also, the proposed context enhancement pyramid reduces the semantic differences between different scale features and generates rich contextual features to enhance the network’s discriminative learning ability for helmet small object features. In addition, the proposed multi-scale attention module improves thefeature fusion effect in the pyramid network to further capture multi-scale features and expand the receptive field to enhance the network’s detection precision of helmet objects under surveillance images. The experimental analysis shows that the proposed method has good detection effect compared to existing object detection methods on the Safety Helmet Wearing Dataset (SHWD) as well as the customized dataset.
Design and Implementation of an English Learning System Based on Intelligent Recommendation
Authors: Yuan Jinli
Published: June 2024

The Internet has led to the rapid development of online education, but it has also caused redundancy in educational information. How to choose appropriate courses from a large number of online education resources has become a major problem for current learners. Therefore, the study proposes an English learning system based on efficient and deep Matrix decomposition. The results of the experiments showed that, in practical teaching applications, about 57.5% of students with good grades have improved their grades due to the use of the English learning system proposed by the research institute, with only about 17.5% of their grades decreasing. 67.5% of students with average grades have improved their grades after using the system, with only 10% decreasing. Among the students with poor grades, about 50% of them improved their academic performance through the system, while about 27.5% of them experienced a decrease. Meanwhile, the experiment also tested the efficient deep Matrix decomposition model in the learning system: the minimum absolute average errors of the model on different data sets are about 0.61, 0.69, 0.77 and 0.82, respectively. The minimum Root-mean-square deviation is about 0.91, 0.98, 1.06 and 1.1, which is far lower than other recommended models. The above results show that the system constructed in this paper can recommend courses accordingto students ‘actual learning level, and can effectively improve students’ academic performance in the actual teaching process.
Semantic-Enhanced Variational Graph Autoencoder for Movie Recommendation: An Innovative Approach Integrating Plot Summary Information and Contrastive Learning Strategy
Authors: Wang Mingye , Hu Xiaohui , Xie Pan , Du Yao
Published: June 2024

This study introduces a novel movie recommender system utilizing a Semantic-Enhanced Variational Graph Autoencoder for Movie Recommendation (SeVGAER) architecture. The system harnesses additional information from movie plot summaries scraped from the internet, transformed into semantic vectors via a large language model. These vectors serve as supplementary features for movie nodes in the SeVGAER-based recommender. The system incorporates an encoder-decoder structure, operating on a user-movie bipartite graph, and employs GraphSAGE convolutional layers with modified aggregators as the encoder to extract latent representations of the nodes, and a Multi-Layer Perceptron (MLP) as the decoder to predict ratings with additional graph-based features. To address overfitting and improve model generalization, a novel training strategy is introduced. We employ a random data splitting approach, dividing the dataset into two halves for each training instance. The model then generates outputs on each half of the data, and a new loss function is introduced to ensure consistency between these two outputs, a strategy that can be seen as a form of contrastive learning. The model’s performance is optimized using a combination of this new contrastive loss, graph reconstruction loss, and KL divergence loss. Experiments conducted on the Movielens100k dataset demonstrate the effectiveness of this approach in enhancing movie recommendation performance
A Novel Risk-Perception Model Based on Blockchain for Supply Chain Finance of China Real Estate
Authors: Fu Qiang , Li Mingxia , Li Weiqiang
Published: June 2024

More than 220 enterprises in China's real estate industry have gone bankrupt, causing serious losses. The National Bureau of Statistics of China showed that the country's investment in property development fell by 8.5% year-on-year, while domestic lending dropped by 11.5% and the use of foreign capital fell by 43%. Upon this, the development of supply chain finance can alleviate the pressure on enterprise funds and stabilize the real estate market. However, risk in supply chain finance is the biggest obstacle to the development of supply chain finance and current researches on risk assessment of supply chain finance face problems such as imprecise classification, slow assessment speed, a small number of samples, and data that is easily tampered with. Therefore, this study integrated graph convolutional neural networks into the smart contracts of the contract layer of blockchain. This integration established a novel intelligent perception model for supply chain finance risk. Based on a consortium chain with the government and enterprises as nodes, the model was established, including risk monitoring, assessment, and categorized early warnings. In the risk assessment part, we compared the graph convolutional neural network with multilayer perceptron and support vector machine finding that the accuracy rate of the graphic convolutional neural network is 94%, which is higher than the above models. The intelligent risk-perception model proposed in this paper operates faster than expert judgment assessments used by banks. It also provides accurate risk levels and quantifies the probability of enterprises being classified as high-risk, offering technical support to regulatory authorities in controlling supply chain financial risk.
Low Anterior Resection Syndrome (LARS)
Authors: Popeskou Sotirios-Georgios , Christoforidis Dimitrios
Published: June 2024

Rectal cancer surgery has undergone significant advancements, with a shift towards sphincter-sparing operations due to improved surgical techniques and neoadjuvant treatments. However, this has given rise to low anterior resection syndrome (LARS), characterised by various bowel functional abnormalities adversely impacting patients’ quality of life. This chapter delves into the definition, risk factors, diagnosis and current treatment recommendations for LARS. The new consensus definition of LARS incorporates a range of symptoms, and their impact on mental, emotional and social well-being. The widely accepted LARS score, a patient-reported outcome measure, aids in standardising reporting but has limitations. LARS has a multifactorial aetiology involving colonic dysmotility, iatrogenic nerve damage, neorectal reservoir dysfunction, recto-anal inhibitory reflex loss, and anal sphincter dysfunction. Various risk factors, including tumour location, anastomotic leak, diverting stoma, pelvic radiotherapy and surgical approach, all contribute to LARS development. Treatment modalities encompass conservative measures such as dietary modifications, probiotics and medications, while advanced treatments include pelvic floor rehabilitation, transanal irrigation, neuromodulation and, ultimately, surgery for refractory cases. Although research has improved our understanding of LARS, further studies are essential to increase prevention and improve treatment strategies.
Neural network and Kolmogorov-Gabor polynomial in modeling complex economic processes
Authors: Светуньков С.Г. , Чернягин А.С.
Published: June 2024

цифровизация экономической науки обуславливает существенный рост новых математических моделей и методов, успешно применяемых в моделировании экономики. Сегодня и учёным и исследователям доступны такие методы и технологии, о которых ещё пять лет назад можно было только мечтать. К этому ряду относится и полином Колмогорова-Габора, который, как утверждают математики, описывает взаимосвязи любой сложности. Использование этой модели в экономических исследованиях сдерживалось трудоёмкостью процесса построения полинома и нелинейным ростом числа коэффициентов полинома с ростом числа использованных факторов. Эту сложность можно преодолеть, используя алгоритм МГУА (метод группового учёта аргументов), предложенный А.Г. Ивахненко ещё в середине 70-х годов ХХ века. В статье показано, что эта математическая модель, построенная с помощью МГУА, может быть успешно использована для описания сложных экономических нелинейных зависимостей. Поскольку такие же цели достигаются использованием нейронных сетей, то в данной работе осуществлён сравнительный анализ моделирования экономических взаимосвязей с помощью полинома Колмогорова-Габора и с помощью нейронной сети. Этот анализ показал, что рассматриваемый полином может успешно конкурировать с нейронной сетью при моделировании сложных экономических процессов.

the digitalization of economic science is causing a significant increase in new mathematical models and methods successfully used in economic modeling. Today, scientists and researchers have access to methods and technologies that could only have been dreamed of five years ago. This series also includes the Kolmogorov-Gabor polynomial, which, according to mathematicians, describes relationships of any complexity. The use of this model in economic research was hampered by the laboriousness of the process of constructing a polynomial and the nonlinear increase in the number of polynomial coefficients with an increase in the number of factors used. This difficulty can be overcome using the MGAA algorithm (method of group accounting of arguments), proposed by A.G. Ivakhnenko back in the mid-70s of the twentieth century. The article shows that this mathematical model, built using MGAA, can be successfully used to describe complex economic nonlinear dependencies. Since the same goals are achieved using neural networks, this work provides a comparative analysis of modeling economic relationships using the Kolmogorov-Gabor polynomial and using a neural network. This analysis showed that the polynomial in question can successfully compete with a neural network when modeling complex economic processes.
State regulation of sustainable development of the industrial sector of the economy and combating cybercrime based on victimology methods
Authors: Медведева Д.А. , Охотников И.В. , Свердликова Е.А.
Published: June 2024

статья посвящена особенностям борьбы государственных органов с киберпреступностью через изучение виктимологии. Выделены исторические факты развития мошенничества и методы борьбы с ними. Уточнено понятие виктимологии и необходимости ее изучения со стороны влияния на экономическую устойчивость. Рассмотрена и приведена реакция жертв на экономические преступления, которая способствует разработке мер защиты, улучшению доверия в экономическую систему и предотвращая потенциальные угрозы для финансовой стабильности. Уточнено по каким причинам экономические преступления серьезно подрывают экономическую устойчивость государства и общества в целом. Пояснено почему культура общества играет ключевую роль в достижении цели по минимизации экономической преступности.

the article is devoted to the peculiarities of government agencies' fight against cybercrime through the study of victimology. The historical facts of the development of fraud and methods of combating them are highlighted. The concept of victimology and the need to study it from the perspective of its impact on economic sustainability are clarified. The reaction of victims to economic crimes is considered and presented, which contributes to the development of protective measures, improving confidence in the economic system and preventing potential threats to financial stability. It is clarified for what reasons economic crimes seriously undermine the economic stability of the state and society as a whole. It explains why the culture of society plays a key role in achieving the goal of minimizing economic crime.
Features of production planning at printing enterprises
Authors: Генин К.Ю.
Published: June 2024

эффективное планирование производства способствует оптимизации процессов, снижению издержек и повышению качества продукции. Специфика полиграфической продукции предполагает наличие особого подхода к планированию, с учетом сезонности спроса, сроков выполнения заказов, необходимости соблюдения технологических требований и стандартов качества. Рыночная среда и появление новых технологий ставят перед предприятиями полиграфии задачу постоянного совершенствования систем планирования производства. Методы: Результаты (Findings): анализ литературных источников по управлению производством и планированию на предприятиях полиграфии, графический метод, дедукция и индукция, систематизация. Выводы: Научная новизна исследования заключается в обобщении методик производственного планирования, адаптированных к специфике полиграфической индустрии.

effective production planning helps optimize processes, reduce costs and improve product quality. The specifics of printed products require a special approach to planning, taking into account the seasonality of demand, the timing of orders, the need to comply with technological requirements and quality standards. The market environment and the emergence of new technologies pose the task of continuous improvement of production planning systems for printing enterprises. Methods: Findings: analysis of literary sources on production management and planning at printing enterprises, graphic method, deduction and induction, systematization. Conclusions: The scientific novelty of the study lies in the generalization of production planning methods adapted to the specifics of the printing industry.
Near-Earth space – assessment of value and place in the classification of natural resources
Authors: Стадинчук А.С. , Стадинчук Р.А.
Published: June 2024

в статье обсуждается понятие околоземного космического пространства (далее – ОКП), его место в общей классификации природных ресурсов, а также предлагается методика оценки стоимости ОКП. Цель исследований состояла в выявлении наиболее близких к ОКП видов природных ресурсов с тем, чтобы изучить возможности применения наилучших практик охраны таких природных ресурсов в отношении ОКП. Исследования проводились на принципах абстрактно-логических методов и финансовой аналитики с инструментами прогнозирования. Согласно проведенным исследованиям, наиболее близким по своей сути к ОКП можно отнести такой природный ресурс как радиочастотный спектр. Принципы регулирования и использования радиочастотного спектра разработаны в рамках Международного союза электросвязи и показали высокую эффективность. Опираясь на разработанную методику, проведена оценка стоимости ОКП. В частности, в 2023 году она составила 10,56 триллионов долларов США. А прогнозируемая стоимость в 2200 году достигнет 213,73 триллиона долларов США в ценах 2023 года при 5% ежегодном росте космической экономики и 4% годовой инфляции доллара США. Данные цифры будут весьма полезны для оценки предельных экономически обоснованных финансовых ресурсов, которые потребуется привлечь для решения очистки ОКП от орбитального мусора.

the article discusses the concept of near-Earth space (hereinafter referred to as NES), its place in the general classification of natural resources, and also proposes a methodology for estimating the cost of NES. The purpose of the research was to identify the types of natural resources that are closest to the NES in order to explore the possibility of applying best practices for the protection of such natural resources in relation to the NES. The research was carried out on the principles of abstract logical methods and financial analytics with forecasting tools. According to the studies conducted, the closest in nature to the NES is the natural resource such as the radio frequency spectrum. The principles of regulation and use of the radio frequency spectrum were developed within the framework of the International Telecommunication Union and have shown high efficiency. Based on the developed methodology, the cost of the NES was assessed. For example, in 2023 it amounted to 10.56 trillion US dollars. And the projected value in 2200 will reach US$224.3 trillion in 2023 prices, with 5% annual growth in the space economy and 4% annual US dollar inflation. These figures will be very useful for estimating the maximum economically feasible financial resources that will need to be attracted to solve the problem of clearing orbital debris from the near-space space.
Çocuk Mekân Algısının Farklı Kentsel Çevrelerdeki Okul Mekânları Üzerinden Çocuk Çizimleri Yoluyla Okunması
Authors: Kurt Çavuş Özlem
Published: June 2024

Bu çalışmada, çocukların okul çevrelerini nasıl algıladıklarını anlamak ve bu algının çocuk çizimleri aracılığıyla nasıl ifade edilebileceğinin keşfedilmesi hedeflenmiştir. Literatürde çocuk çizimleri üzerinden mekân algısını anlamaya yönelik çalışmalar sıkça yapılmıştır, ancak bu çalışma örneklemin kentsel imge bakımından farklılık gösteren çevrelerden seçilmesi ölçütüne göre kurgulanması açısından bir boşluğu doldurmaktadır. Çocuğun okul mekânını algılama sürecinde, ilkokul binası ve okulun kentsel doku ve çevre ile kurduğu ilişkilerin, çalışma kapsamında bilişsel harita işleviyle kullanılan çocuk çizimleri üzerinden görsel analiz yapılarak, ortak mekânsal temalara ulaşılarak, çizimlerin bu temalar doğrultusunda değerlendirilmesi hedeflenmiştir. Bu çalışmanın amacı, kentsel imge kavramı bakımından farklı kentsel dokularda bulunan okullardaki çocukların okul mekânı ve çevresini nasıl algıladığı üzerine kurgulanmıştır. Bu doğrultuda Eskişehir ili içerisinde, sahip olduğu kentsel imgeler bakımından farklı çevrelere sahip, farklı kentsel dokular içerisinde bulunan dört ayrı okul, durum çalışması kapsamında belirlenmiştir. Bu okullarda seçilen sınıflardaki toplam 93 çocuğun “okul ve çevresi” konulu çizim yapması sağlanarak bu çizimlerin içeriklerinin incelenmesi ile ulaşılan mekânsal temalara göre analiz edilmesi amaçlanmıştır. Temaların elde edilmesi, görsel doküman olarak çocuk çizimlerinin araştırmacı tarafından tek tek incelenmesi sonrasında, çizimlerin içeriklerine göre analiz edilmesi sürecine dayanmaktadır. Çalışma bulguları arasında çizimlerde ortak temaların tespiti gösterilebilir: “Okul Binası ve Giriş”, “Etkinlik/Oyun Alanları”, “Bahçe Sınırı”, “Gökyüzü Vurgusu”. Çalışma sonucunda tüm çizimler okullar özelinde bu temalara göre değerlendirilmiş, okul yapısının mekânsal özellikleri ve bulundukları kentsel çevrenin çocuk çizimleri ile doğrudan ilişkilendiği gözlemlenmiştir. Çalışmanın, çocukların mekân algılarına ilişkin çizimler üzerinden bilgi edinilebileceğini göstermesi bakımından literatüre özgün katkı sunması hedeflenmiştir.
The Influence of Product Price and Quality on Customer Repurchase Intentions Through Customer Satisfaction Mediation
Authors: Zimbalis Aprillia , Nofrisel Nofrisel , Mustikasari Mustikasari
Published: June 2024

This research was conducted with the aim of knowing the influence of prices and products on PT. XYZ Forwarding Indonesia on Repurchase Intention with customer satisfaction as an intervening variable. This affects business competition conditions in the Freight Forwarding industry. Currently, many Freight Forwarding companies have just been established and dare to provide the best offers to attract their customers. The type of research used is quantitative research using a questionnaire as a data collection instrument. The population in this study was PT service users. XYZ Forwarding Indonesia, the sample used was 154 people who had used the service at least twice. The sampling technique used is Probability Sampling. Data analysis technique through SEM-PLS measurements with the help of Smart PLS 4.0.5.9. Software. Based on the results of SEM analysis, the results show that price has a positive effect on customer satisfaction. On the other hand, price has a negative effect on repurchase intention. Then the product is stated to have a positive effect on customer satisfaction and the product also has a positive effect on repurchase interest. Customer satisfaction has a positive effect on repurchase interest. Furthermore, products do not have a direct influence on repurchase interest but are mediated through customer satisfaction. Price also does not have a direct influence on repurchase interest and is mediated through customer satisfaction. So from a Freight Forwarding perspective, companies must pay attention to price in each sale to be able to fulfill customers' desires and make repeat purchases.
Effectiveness of Logistics Information System Use and Logistics Information System Quality on User Performance through User Satisfaction
Authors: Revina Revina , Nofrisel Nofrisel , Abidin Zaenal
Published: June 2024

The effective use of information systems in logistics companies will assist company management in changing business growth strategies. Information system quality is a measurement that focuses on the output processed by the system. This study aims to determine the effectiveness of using the Logistics Information System and its impact on performance and user satisfaction. The research method uses a quantitative approach. The research was conducted at Puninar Logistics with a sample size of 100 employees. Data was collected through a questionnaire with a Likert scale model that had been tested. The data analysis method used is SmartPLS (Partial Least Square) 4.0. The effectiveness of the Logistics Information System cannot be separated from information systems and information technology. The presence of information technology systems has had a lot of influence on an individual/ organization, not only on individuals/ organizations, but this influence extends to business processes and organizational transactions. In addition, effectiveness is a very important concept in organizations because it is a measure of the success of the organization in achieving its goals. This means that it can be said that effectiveness is directly related to achieving goals and is the key to the success of an organization. Research on the effect of information system effectiveness on employee performance has been carried out in many previous studies, but there are inconsistencies in research results regarding this relationship. Research results such as in research show that the effectiveness of the use of information systems has a positive effect on employee performance.
Biogenesis and Function of miRNAs and Their Role in Cancer
Authors: Nuke Ardiyan Yustina , Dwi Pratiwi Johana Puspasari
Published: June 2024

MicroRNA (miRNA) is a small RNA molecule that regulates post-transcriptional gene expression. miRNA combines with the RNA-induced silencing complex (RISC) and carries out its function in controlling translation. The formation of miRNA involves enzymes and proteins that cut it in its processing as well as protein complexes in the cytoplasm that make the miRNA mature. Several changes, for example deletion or overexpression, can occur in miRNAs, causing cancer growth. The aim of this study was to investigate the process of miRNA biogenesis as well as analyze how changes in miRNA expression can affect the biological pathways involved in cancer. This type of research is a literature review. The data that has been collected is then analyzed in three stages, namely data reduction, data presentation and drawing conclusions. The results show that the role of miRNAs is in the post-transcriptional regulation of genes. MiRNAs associate with the RISC complex and interact with mRNA through complementary base pairing thereby halting translation and promoting mRNA degradation. MiRNAs are deregulated in cancer, including over-expression of oncogenic miRNAs or deletion of miRNA characteristics as tumor inhibitors. The results of this research also provide a foundation for further education and advanced research in the field of molecular biology, particularly in genetic regulation and disease mechanisms.
Keterlibatan Ayah dalam Pengasuhan terhadap Perkembangan Anak Disabilitas Usia Sekolah Dasar Studi: Photovoice
Authors: Tukan Barbara Leto
Published: June 2024

Keterlibatan orang tua yaitu ayah dan ibu memiliki tanggung jawab yang sama dalam mengasuh anak khususnya mengasuh anak dengan disabilitas yang memerlukan penaganan khsusus. Menurut data Komisi Perlindungan Anak Indonesia (KPAI) pada tahun 2017, keterlibatan ayah dalam pengasuhan secara langsung masih terkategori rendah yaitu berada pada kisaran 26,7%. Penelitian yang menyorot peran ayah dalam perawatan anak dengan disabilitas masih sangat sedikit. Oleh karena itu, penelitian ini bertujuan untuk mendeskripsikan tentang keterlibatan ayah dalam pengasuhan terhadap perkembangan anak disabilitas usia sekolah dasar. Penelitian ini menggunakan metode kualitatif dengan desain Photovoice dan data dikumpulkan melalui wawancara dan DKT (Diskusi Kelompok Terarah). Partisipan dalam penelitian berjumlah 5 orang. Hasil Penelitian ini menunjukan bahwa keterlibatan ayah dalam perkembangan meliputi perkembangan fisik, kognitif, dan social emosional. Adapun kendala keterlibatan ayah dalam pengasuhan anak yaitu meliputi dari segi waktu dan pengendalian emosi selain itu ada harapan ayah untuk anak dan untuk ayah sendiri. Oleh karena itu, peran ayah sangat penting dalam merawat anak dengan disabilitas dan tentunya dengan cara yang berbeda beda.
Human Resources System Irregularities Impacting Work Scope in Small Mental Health Organizations: Performance Management and Talent Acquisition
Authors: Savandha Septien Dwi , Azzahra Adelia , Sukand Gayatri
Published: June 2024

This study investigates the impact of human resource (HR) system irregularities on the effectiveness of job scope allocation in small organizations, focusing specifically on performance management and talent acquisition. Using a qualitative approach, data were collected from a small organization providing adolescent mental health services. The findings reveal that role ambiguity, uneven workload distribution, lack of structured feedback, and undefined recruitment processes are key challenges affecting job scope effectiveness. The study underscores the importance of implementing structured HR practices to improve operational efficiency and employee satisfaction in small organizations. These improvements can enhance short-term performance and support long-term sustainability and growth.
Diagnostic Methods of Discharge of Amniotic Fluid and Urogenital Infections
Authors:   Department of the Obstetrics and Gynecology, Bukhara State Medical Institute, Bukhara, Uzbekistan
Published: June 2024

The problem of infectious diseases in the antenatal development of the fetus with the discharge of amniotic fluid is one of the most urgent problems in obstetrics. Infection of the fetus in the womb during prenatal rupture of amniotic fluid can lead to complications during pregnancy, childbirth, or the development of diseases in the postpartum period.
The Effects of Transplanting Date on Management of Tobacco Insect Pests. Min review
Authors:   Jinka University, Department of Plant Science, College of Agriculture and Natural Resource, Southern Ethiopia.
Published: June 2024

The main review purpose this paper provides updated information on the effect of different transplanting dates on the infestation of tobacco insect pets were carried out at different location by different Scholars. The results revealed that different trials conducted in different agro ecological zone indicated that damage was higher and green leaves yield decrease were in late transplanted tobacco. While, the damage was gradually decrease and green leaves yield increase in early transplanted tobacco. Numerous species of insect pests of tobacco affect the crop in the field, in the greenhouse, and in storage. The effect tobacco insect pests reduced green leaf yield, quality and damage roots, leaves, buds parts of plants and others transmit several important tobacco disease pathogens. As management systems for flue-cured tobacco (Nicotiana tabacum L.) used different transplanting date were compared to evaluate their influence on insect pests’ damage, leaves yield and quality of flue-cured tobacco. The results indicated that early transplanted significantly increase leaf yield, growth parameters and decrease insect pest damage incidence. The study indicated that transplanted has pronounced positive effect on management of tobacco insect pests and growth of tobacco.
Perineural Cysts of Tarlov: A Case Study
Authors:   Radiology Specialist, Radiology Department, Al-Namas General Hospital, Ministry of Health, Al-Namas City, Saudi Arabia.
Published: June 2024

This is a case of perineural cysts of Tarlov in a female patient who complains of having a chronic pain in the neck. An MRI scan was done which revealed a normal spine and vertebral column. Tiny bilateral perineural cysts were found on the MRI scan. This case study will gather all the information about the formation of perineural cysts of Tarlov, prevalence, appearance on MRI, associated conditions, and differential diagnosis.
Evaluating the use of ICT Tools in Precision Agriculture for Efficient Pesticide Management
Authors:   Department of Computer Science Federal School of Statistics, Manchok, Kaduna State.
Published: June 2024

The research study aims to investigate and evaluate the use of ICT (Information and Communication Technology) tools in precision agriculture for efficient pesticide management. Precision agriculture, as a modern approach to farming, leverages technology to optimize crop production practices. However, the potential benefits of ICT tools, specifically in pesticide management, require further investigation and assessment. The findings of this research endeavor will provide valuable insights into the role of ICT tools in precision agriculture for pesticide management. The evaluation will shed light on the benefits and challenges associated with deploying these tools, including their impact on reducing pesticide use, optimizing resource allocation, and promoting environmental sustainability. Moreover, the research will contribute to the identification of best practices and key considerations for the successful integration of ICT tools in the realm of precision agriculture. Overall, this research will enhance our understanding of how ICT tools can revolutionize pesticide management and pave the way for more efficient and sustainable agricultural practices. The findings will serve as a crucial reference for farmers, policymakers, and researchers seeking to optimize pesticide usage, minimize environmental risks, and improve overall crop yield in the context of precision agriculture.
Penolakan Parsial Kritikus terhadap Rawi Shaduq: Telaah Kritis atas ar-Rabi bin Anas
Authors: Adam Faisal , Ahmadi Husni , Arifin Tajul
Published: June 2024

Al-Jarh wat Ta’dil is an important field in hadith studies that provides information about the conditions of hadith narrators based on critiques by critical scholars. These critiques follow a hierarchical structure, with shaduq being a level two endorsement after tsiqat. Despite being an endorsement, a narration from a shaduq narrator is not accepted outright and requires further scrutiny. This research analyzes the acceptance status of narrations from shaduq narrators according to critical scholars. It critically examines the case of the shaduq narrator named ar-Rabi bin Anas and investigates the reception status of his narrations. The methodology employed is qualitative with a descriptive-analytical approach, using references such as al-Jarh wat-Ta’dil literature, mustalah hadith, hadith collections, relevant books, and journals. The study demonstrates that among shaduq narrators, some receive negative critiques leading to partial rejection of their narrations. Furthermore, it shows that narrations from shaduq like ar-Rabi bin Anas are rejected if: First, they have negative critiques from scholars supported by indications after comparison with parallel narrations. Second, their hadiths are transmitted by problematic disciples; in ar-Rabi's case, his problematic disciple is Abu Ja’far ar-Razi, and the narration by this disciple occurs in isolation.
Maktabah Hadits/Historiografi Hadits (Munculnya Kutub al-Sittah dan Sistematika Penyusunannya)
Authors: Rohman Teguh Abdul , Mighwar Muhammad al
Published: June 2024

To save hadiths from corruptive and misleading "blemishes," scholars have worked extraordinarily hard in compiling hadiths, developing various knowledge, and creating principles and methods for hadith writing and research. The Kutubu Sittah refers to the six hadith books that have become references for subsequent scholars. The study related to the Kutubu Sittah is crucial, considering that many hadith enthusiasts only focus on the texts contained within these collections without delving into who the authors were and what their writing methodologies were. The research includes several primary reference books such as Kutubu Sittah, al-Hadith wal-Muhaddithun, Fii Rihab as-Sunnah al-Kutub as-Sihhah, Atlas Hadith an-Nabawiyyah, and others, utilizing a library research approach. The existence of these six hadith books in the hands of Muslims today is tangible evidence of how Allah has preserved the Sunnah and the scholars. Although these scholars are noble, they are not free from mistakes, and thus, in compiling these books, some errors were inevitable. However, even though some hadiths are considered weak by some scholars, their nobility will never diminish.
Issues and Perspectives on Cyberterrorism and Information Security in Nigeria
Authors: Kente Josiah Sabo , Ishaku Jesse
Published: June 2024

The advent of information and communication technology (ICT) and the internet in Nigeria offer endless opportunities and also raise a lot of concerns bothering on cybercrime, cyberterrorism, information and human security. Recently, Nigeria has experienced an unprecedented surge in cybercrime, with potentially disastrous consequences for the country's socioeconomic and sustainable growth. Consequently, the complexities and horrific nature of cyberterrorism in recent times have increased proportionately which calls for prompt action. This study therefore, examines the effects of cyberterrorism on information and human security in Nigeria. Anchored on the technology-enabled crime and risk society theory and integrative literature review approach, the study revealed that, aside from the fact that information security is important for the continued existence of individuals, organisations and government in Nigeria, different terrorist and secessionist groups in Nigeria such as Boko Haram have been using the Nigeria’s cyberspace to mobilize and train its members, raise funds as well as propagate their nefarious agenda. The study however recommends among many things that, the Nigerian government should strengthen the Cybercrime Prohibition and Prevention Act 2015 while also ensuring the establishment of strong legal, institutional and security frameworks in line with the United Nations Security Council Resolution 2341 (2017) and the United Nations Global Counter-Terrorism Strategy (GCTS) in order to fight cyberterrorism in Nigeria.
Evaluation of the CIPP Model on the Merdeka Curriculum at SMP 2 Palembayan
Authors: Susanto Arino , Kardena Absharini , Elpayani Elpayani
Published: June 2024

By using of the CIPP evaluation model of SMP 2 Palembayan, this research seeks to study the application of the CIPP (Context, Input, Process, Product) evaluation model, students learning outcomes in the field of English. This test is a subjective exploration that uses the CIPP model by assessing each part of the setting, information, interactions, and items to achieve a continuously evolving experience. English teachers, curriculum representatives, and the principal at SMP 2 Palembayan served as the data sources for the study. Observation instruments were used to collect primary data, and interviews and photographs were used to collect secondary data. After that, the observation data was analyzed quantitatively, while the interviews and data analysis were analyzed descriptively and qualitatively. The results showed that the conditions for implementing learning and learning activities at SMP 2 Palembayan were said to be very effective when learning was carried out.
Dampak Alih Fungsi Lahan Sawah ke Kolam Ikan Air Tawar terhadap Pendapatan Petani di Kecamatan Padang Gelugur, Kabupaten Pasaman
Authors: Lamsyariah Lamsyariah , Hermon Dedi , Andrian Andrian
Published: June 2024

This research aims to investigate two main aspects in Padang Gelugur Subdistrict, Pasaman Regency: first, the change in paddy field area into fish ponds from 2017 to 2022; second, to analyze the factors influencing this land conversion. The research method used is a mixed methods approach, which integrates quantitative and qualitative data to answer research questions related to behavior, social, and health aspects. The research results indicate that during the period from 2017 to 2022, approximately 144 hectares of paddy fields were converted into fish ponds. The main factors driving the community to undertake this land conversion include the significant income difference between paddy harvests and fish ponds, with income from fish ponds tending to be higher. Additionally, educational factors and weather conditions also play a significant role, particularly as Padang Gelugur Subdistrict frequently experiences high rainfall intensity, which can lead to flooding and crop failure.
Indices characterizing the investment environment
Authors: Tavadyan Ashot A. , Petrosyan Gevorg S.
Published: June 2024

In the modern world, when all sectors of the economy are undergoing changes, problems related to the competitiveness of the economy are becoming increasingly relevant. A competitive economy should first be understood as an economy with an attractive investment environment. It is an attractive investment environment that creates the basis for a constant flow of capital, which in turn can be used to modernize means of production and increase productivity, as well as to invest in and improve the business environment and its culture. To this end, some global organizations have created indices that help potential investors assess the attractiveness of the investment environment and design their investment strategies.
Algorithmic approach to liquidity control
Authors: Mirzoyan Ani M.
Published: June 2024

Against the background of the current challenges of the world economy, when trade wars have become one of the important tools used in the face of a sharp confrontation of different value systems, a small economy like Armenia, which is highly dependent on one economic pole, definitely needs to give momentum to the process of taking a serious step towards the diversification of its economy, the improvement of liquidity control methods for business entities has become extremely important, so in this article we will propose an algorithm of appropriate sequential steps aimed at maintaining the optimal level of liquidity. The purpose of such an algorithm will be to build an efficient mechanism by which the organization will have the opportunity to have neither an excess nor a shortage of liquid funds, because an excess of liquid funds also determined as bad management.
Development Trends and Main Problems of P2P and Crowdfunding Platforms in RA Banking System
Authors: Grigoryan Grigor V.
Published: June 2024

The work is aimed at highlighting the developments and main problems related to P2P and Crowdfunding platforms in Armenia which may be an obstacle to their mass use. In order to understand whether the mentioned fintech solutions are effective from the point of view of usage in RA we tried to conduct comparisons in the context of international experience and evaluate the environment of the RA banking system from the point of view of introducing and developing the latest fintech solutions, highlighting the positive aspects. The results were the basis for making appropriate conclusions and suggestions for the introduction and development of these technologies in RA.
The Mechanism of Phased Introduction of Compulsory Health Insurance and Assessment of its Financial Burden
Authors: Hakobyan Gagik M.
Published: June 2024

The healthcare financing mechanisms and volumes don’t correspond with the development requirements of the sector. Any state, including RA, needs large-scale financial resources to ensure universal health coverage of the population, train the necessary number and quality of specialists, create centers equipped with the latest medical equipment, and provide quality services. Along with this, the spread of chronic diseases in the country, the aging of the population, and significant out-of-pocket costs require the introduction of a mandatory health insurance system. The main goal of the research is to define the mechanism of the phased implementation of compulsory health insurance and the calculation of the financial burden of each stage of that system, as well as the calculation of the per person annual insurance premium in case of introduction of compulsory health insurance in RA.
Assessment of Factors Affecting Optimal Tax Burden and Tax Revenues in RA
Authors: Bejanyan Hayk I. , Aghabekyan Edgar V. , Levonyan Suren R. , Davtyan Kamo A. , Stepanyan Zhora V.
Published: June 2024

The purpose of the article is to identify the factors affecting the optimal tax burden and tax revenues of RA and evaluate their impact. The tasks of the work are to identify the range of factors affecting the optimal tax burden and tax revenues, to evaluate their impact and transmission mechanisms using econometric models. The analyzes in the work were carried out using statistical and econometric methods, the version of the Laffer curve, modified by Balatsky.
As a result of the study, it was revealed that the evaluation results show that RA economic growth, other things being equal, will reach its maximum value when the tax burden is 20.9-21.9 %, which we considered as the optimal tax burden range. The government's final consumption expenditure does not ensure a sufficient level of economic growth or a continuation of high growth. The assessment of the impact of indicators determining GDP growth on tax revenues shows that the indicators determining GDP growth, in general, also have a significant impact on tax revenues.
Lider-üye etkileşiminin iş becerikliliği üzerindeki etkisinde örgüt temelli özsaygının aracılık rolü
Authors: Karaca Nuri
Published: June 2024

Literatürde yapılan çalışmalar ve iş talepleri-iş kaynakları teorisi ışığında bu araştırmanın amacı lider-üye etkileşiminin, örgüt temelli özsaygı aracılığı ile iş becerikliliği üzerindeki etkisini tespit etmektir. Bu kapsamda bir kamu bankasının beş ilin bağlı olduğu bir koordinatörlüğünde çalışan 297 kişi çalışmanın ana kütlesi olarak belirlenmiştir. Araştırmanın örneklemini oluşturan 240 katılımcıdan online anket yöntemi ile veriler toplanmıştır. Toplanan veriler paket programlar aracılığı ile analiz edilmiştir. Analiz sonuçlarına göre, lider-üye etkileşimi hem örgüt temelli özsaygıyı hem de iş becerikliliğini pozitif etkilemektedir. Ayrıca örgüt temelli özsaygı, lider-üye etkileşimi ile iş becerikliliği arasındaki ilişkiye aracılık etmektedir. Araştırma kapsamında elde edilen bu bulgular doğrultusunda; liderlerin, yüksek kaliteli ilişkiye sahip olduğu çalışanlara daha fazla kaynak sağlamaları, çalışanların iş taleplerinin üstesinden gelmelerine, örgüt içerisinde değerli, önemli ve yeterli hissetmelerine; böylece somut iş rolü sınırlarını ve soyut iş rolü algılarını değiştirmek için motive olmalarına neden olabilmektedir.
Altıncı sınıf Rusya tarih ders kitaplarına göre Rus kimliğinin oluşmasında edebiyat ve kültürün katkısı
Authors: Aktaş Özgür , İsayev Hurşit
Published: June 2024

Bu çalışmanın amacı tarih ders kitaplarına göre Rus kültürünün oluşumunda edebiyat ve dinin rolünü açıklamaktır. Bu çalışma nitel bir çalışma olup yöntem olarak doküman analizi yöntemi kullanılmıştır. Çalışmada iki adet Rus tarih ders kitabı incelenmiş ve Rus kimliğinin oluşmasında edebiyat ve kültürün önemi ortaya konulmaya çalışılmıştır. Tarih ders kitaplarının verdiği bilgilere göre edebiyat ve dini inançlar Rus kimliğinin şekillenmesinde önemli katkı sağlamıştır. Rusya Hristiyanlık dinini ve Ortodoks mezhebini kabul ederek yeni bir kimliğe sahip olmuştur. Bu yeni anlayış edebiyatla desteklenmiştir. Tarih ders kitapları dinî nitelikli eski edebî eserlerden örnekler vererek ve tarih ders kitaplarına dinî simgeleri koyarak bir vatandaş oluşturma çabası içerisindedir. Ancak verilen bu örnekler ve dinî efsanelerin aşırı kullanımı kimi zaman da efsanelerin tarihi bir olgu gibi sunulması, neden sonuç ilişkisi yerine tarihi olguların inançlara dayalı olarak açıklanması Rusya tarih ders kitaplarının bilimselliğini önemli ölçüde zayıflatmaktadır.