bluuebunny/crossref_metadata_2025 huggingface dataset:
DA’WAH AS A MARKETING STRATEGY (STUDY ON “FATHIMAH COLLECTION” BUSINESS, JOMBANG)
Authors: Fatimah Nur’ainani Hidayat  , Sri Hartini
Published: October 2023

Abstract : Da'wah, in Islamic teachings, is the process of spreading good things. Even when doing business. Business must also be done well and honestly so the company becomes a blessing. Da'wah as a marketing strategy is also permissible as long as it does not go beyond Islamic law and must invite people to goodness. This was done by Fathimatuz Zahroh, the owner of the Fatima Collection business selling Muslim clothing in Jombang, who is known for preaching through his company. This study aims to see how Fatima's form of da'wah is used for her business and what marketing strategies are implemented at the Fathimah Collection. This research uses qualitative methods with field studies which will later analyze the form of da'wah and is strengthened by the marketing mix theory by Kolter & Armstrong (2016). The results of this study are the da'wah carried out by Fatima in her Fathimah Collection business, namely Bil-Lisan preaching, Bil-Qolam preaching, and Bil-Hal preaching. In contrast, the marketing mix strategy carried out by Fathimah Collection includes product selection, price setting, selection of places (place), and implementation of promotions (promotion).

Keywords: da'wah, marketing strategy, marketing mix
Stormo
Authors: Manfredini Manuela
Published: October 2023

Molti lettori ci hanno chiesto chiarimenti intorno all’uso della parola stormo.
derecho a la lactancia del menor nacido de maternidad subrogada: un análisis biojurídico y bioético
Authors: Palomares Cantero Juan Manuel
Published: October 2023

Este artículo analiza jurídica y éticamente el derecho a la lactancia en la maternidad subrogada, abordando sus complejidades desde una perspectiva integral. Se destaca la necesidad de regular la maternidad subrogada a nivel federal en México, protegiendo los derechos del menor y su derecho a la lactancia materna. Se promueve una crianza afectiva y la creación de nuevas normas biojurídicas considerando la jurisdicción y los requisitos de los padres. La promoción de la lactancia materna en la maternidad subrogada se basa en el beneficio ético del menor. Se resalta la importancia de una atención integral durante el puerperio y la lactancia, valorando la salud mental y garantizando una lactancia adecuada. Se recomienda cláusulas en los contratos de subrogación para extender su duración y asegurar la lactancia y el desarrollo saludable del menor.
Guantánamo y otros casos de tratamiento médico forzoso. Un análisis biopolítico
Authors: Ballesta Francisco José
Published: October 2023

Reseña
Achieving Sustained Improvement in Identification Accuracy with a Semi-Supervised Learning Approach for NILM Systems
Authors: Zhang Zhenyu , Li Yong , Guo Yixiu , Tao Ziming , Li Chang , Shahidehpour Mohammad
Published: October 2023

Non-Intrusive Load Monitoring (NILM) systems are widely used for energy management, but their accuracy can be limited by the removal of monitoring equipment after the initial training phase. This removal results in a lack of ongoing training data and impairs the ability to improve recognition accuracy. To address this challenge, this research proposes a novel semi-supervised learning approach for NILM systems. The approach is based on a previously proposed temporal convolutional network-conditional random field (TCN-CRF) model. It uses optimal interval filtering and unanimous voting to control the quality of pseudo-labels. The approach identifies high-precision segments in the sequence-to-sequence algorithm as semi-supervised learning targets and generates pseudo-labels, allowing for continuous self-supervised learning and sustained improvement in recognition accuracy. The results show that the proposed method can effectively combine unlabeled data to improve model accuracy, and achieve up to 14% highest improvement in algorithm accuracy over fully self-supervised methods in small sample training.
A Systematic Review of Chatbot-Enabled Chronic Disease Management Interventions and mHealth
Authors: Islam Jahirul , Hasan Mahadi , Hasan Md Maruf
Published: October 2023

Chatbots have gained popularity as a tool for managing chronic diseases, with potential advantages such as increased accessibility, individualized care, and cost-effectiveness. This efficient audit means to assess the momentum proof on the viability of chatbot-empowered persistent infection the board intercessions. Twenty relevant studies were identified through a thorough search of multiple databases and included in this review. Diabetes, high blood pressure, and mental health issues were all included in the studies. Generally speaking, the discoveries propose that chatbot-empowered mediations can be successful in further developing wellbeing results, for example, lessening pulse levels, expanding drug adherence, and working on personal satisfaction. However, additional research is required to address the potential ethical issues associated with the utilization of chatbots in healthcare and to evaluate the long-term viability of these interventions. 
RSSNet: A Fine-tuned Deep Learning Network for Robotic Surgical-tool Segmentation
Authors: Janjua Muhammad Sadaqat , Ali Hussam , Farooq Qaisar
Published: October 2023

Robotic systems have significantly transformed modern surgical practice by improving surgical precision and minimizing invasiveness. Crucial to these systems is the accurate segmentation of surgical tools, which remains a challenging task due to the complex surgical scenarios and the diversity of tools used. This paper presents a novel deep learning architecture, the Robotic Surgical Tool Segmentation Network (RSSNet), designed to enhance the accuracy of surgical tool segmentation in robotic surgeries. The proposed RSSNet model combines the power of Atrous Spatial Pyramid Pooling (ASPP) with the efficiency of average pooling layers to extract and encode intricate details for accurate segmentation. A fine-tuning strategy on the average pooling layers further enhances the model’s performance, particularly for small and intricate details. The model was rigorously tested on two primary datasets, Kvasir and EndoVis 2017, along with additional surgical datasets, demonstrating robustness and versatility. In particular, RSSNet outperformed state-of-the-art models in all comparisons. An ablation study further confirmed the effectiveness of each component in the model architecture, particularly the fine-tuned average pooling layers and the ASPP module. The study offers a novel, efficient, and high-performing solution for surgical tool segmentation, an essential step toward fully autonomous robotic surgeries. With a performance score of 96.78%, this work provides a baseline for optimizing fine-tuning strategies and incorporating additional data modalities for enhanced performance.
Clustering-based Self-supervised Compressive Spectral Imaging using Positional-encoding Representation
Authors: Mei Xiaoyin , Li Yuqi , Fu Qiang , Heidrich Wolfgang
Published: October 2023

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. 
Proposing a Novel Architecture for Drug Response Prediction by Integrating Multiomics Data and Utilizing Graph Transformers
Authors: Raisinghani Nishank
Published: October 2023

Efficiently predicting drug response remains a challenge in the realm of drug discovery. By leveraging two types of multiomics data, transcriptomics, and genomics, we create a comprehensive representation of target cells and enable drug response prediction for personalized medicine. To address this issue, we propose four novel model architectures that combine graph transformers with varying positions of multiheaded self-attention mechanisms. A majority of our architectures utilize multiple transformer models, one with a graph attention mechanism and the other with a multiheaded self-attention mechanism, to generate latent representations of both the drug and omics data, respectively. Unlike previous approaches that apply attention only to one data type, either drug or genomics, our model architectures employ this technique for both, with a goal to procure more comprehensive latent representations. The latent representations are then concatenated and input into a fully connected network to predict the IC-50 score, a measure of cell drug response. We experiment with all four of these architectures and extract results from them. The novel model without the multiheaded self-attention mechanism seems to give us the most accurate results on our holdout set. Our study greatly contributes to the future of drug discovery and precision medicine by looking to optimize the time and accuracy of drug response prediction, as well as using multiomics data for a personalized approach to the problem. 
Navigating Complexity Riemann Hypothesis, Medical Predictions, and Computational Equivalence
Authors: Zaman Budee U
Published: October 2023

The Riemann Hypothesis, a cornerstone in number theory, illuminates prime number distribution’s average and the deviations from this mathematical norm. Originating in Riemann’s seminal 1859 paper, it posits that the elusive zeros of the zeta function inhabit the complex plane with a real part fixed at 1/2. This hypothesis offers a one-million-dollar challenge for those capable of providing a valid proof in a respected mathematical journal. Remarkably, a parallel emerges when considering the shared challenges between the Riemann Hypothesis and the domain of medical predictions, where accurate outcome forecasting remains a formidable task in intricate scenarios. Stephen Wolfram’s Principle of Computational Equivalence underscores the computational essence of complex processes. Within this concise communication, we delve into two conjectures related to the generalized Riemann Hypothesis for Dirichlet L-functions, transcending disciplinary boundaries to intertwine elements of number theory, medical science, and captivating references such as Abraham Lincoln and a hypothetical set of dogs with cardinality one.
Spec-NeRF: Multi-Spectral Neural Radiance Fields
Authors: Li Jiabao , Li Yuqi , Sun Ciliang , Wang Chong , Xiang Jinhui
Published: October 2023

Spec-NeRF jointly optimizes the degradation parameters and achieves high-quality multi-spectral image reconstruction results at novel views, which only requires a low-cost camera (like a phone camera but in RAW mode) and several off-the-shelf color filters. We also provide real scenarios and synthetic datasets for related studies. Code is available at https://github.com/CPREgroup/SpecNeRF-v2
MetaSignal: Meta Reinforcement Learning for Traffic Signal Control via Fourier Basis Approximation
Authors: Huang Shuning , Ota Kaoru , Dong Mianxiong , Zhou Huan
Published: October 2023

Traffic signal control plans significantly impact transportation system  efficiency at intersections. Adaptive plans that adjust to real-time  conditions are more effective. Reinforcement learning (RL) adapts  strategies based on environmental feedback, making it proficient in  handling dynamic traffic scenarios. However, current RL methods have  long computational periods, hindering their adoption for new scenarios.  Another approach is to optimize the RL model itself for fast learning or  make it transferable with learned experience. The underlying control  algorithm should ensure convergence and minimize parameter sensitivity  in diverse migration scenarios. We propose MetaSignal, an efficient  meta-RL method for traffic signal control. Our approach uses Fourier  basis as the value function approximation in RL, offering advantages  like convergence facilitation, error bound achievement, and reduced  parameter dependence. The model-agnostic meta-learning framework allows  for effective adaptation to target scenarios with limited training cost.  Empirical evaluation shows promising and stable performance in  comprehensive experiments in synthetic and real-world traffic networks. 
Ledger of Trust: Investigating Blockchain’s Impact on Credit Business Efficiency and Security
Authors: Bodemer Oliver
Published: October 2023

The integration of blockchain technology in financial sectors has emerged as a topic of burgeoning interest, with credit business being a pivotal area of exploration. This study aims to investigate the impact of blockchain technology on the operational efficiency and security of credit business processes. Employing a mixed-methods research design, data was collected from 15 credit institutions that have adopted blockchain technology, alongside a control group of 15 credit institutions operating on traditional digital platforms. Key performance indicators (KPIs) such as transaction speed, error rate, fraud incidence, and operational costs were analyzed. The findings reveal a significant enhancement in operational efficiency and security in credit institutions leveraging blockchain technology. Blockchain adoption was associated with a 70 % reduction in fraudulent activities, a 50 % increase in transaction speed, and a 40 % reduction in operational costs. Furthermore, the decentralized nature of blockchain significantly enhanced transparency and trust among stakeholders, fostering a more robust and resilient credit business ecosystem. The study underscores the transformative potential of blockchain technology in redefining the operational paradigms of credit businesses, thereby contributing to the broader discourse on blockchain’s applicability in financial sectors. Future research is recommended to explore the long-term sustainability and regulatory implications of blockchain integration in credit business operations. 
Privacy-Preserving Fine-Tuning of Artificial Intelligence (AI) Foundation Models with Federated Learning, Differential Privacy, Offsite Tuning, and Parameter-Efficient Fine-Tuning (PEFT)
Authors: Zhao Jun
Published: October 2023

Artificial Intelligence (AI) Foundation Models (FMs), pre-trained on massive datasets, have recently emerged as a pivotal asset in a wide array of tasks. Examples of FMs include Large Language Models (LLMs), Large Vision Models (LVMs), and Large Multimodal Models (LMMs). The adaptability of FMs, achieved through finetuning, enables these models to perform exceptionally across diverse domains. However, the fine-tuning process often entails data centralization, which raises privacy concerns. For instance, in healthcare, hospitals might want to fine-tune an AI model on patient records. Sending this data to a central server for fine-tuning can raise privacy concerns. To mitigate the privacy challenges, this research seeks to employ privacy-preserving technologies such as federated learning (FL), differential privacy (DP), and emulator-based tuning (i.e., offsite tuning) in combination with parameter-efficient fine-tuning (PEFT) techniques to refine FMs without compromising data privacy.
Let's Do It Ourselves: Ensuring Academic Integrity in the Age of ChatGPT and Beyond
Authors: Azoulay Rina , Hirst Tirzta , Reches Shulamit
Published: October 2023

This paper addresses the emerging challenge presented by large language models (LLMs) such as ChatGPT that are able to generate solutions to tasks traditionally used to enhance student's analytical and programming skills, particularly in programming education. This widespread availability of AI-generated solutions risks undermining the learning process and skill acquisition by enabling students to use AI generated solutions instead of practicing themselves. Addressing this challenge, our paper outlines a holistic strategy that combines educational initiatives, state-of-the-art plagiarism detection mechanisms, and an innovative steganography-based technique for watermarking AI-produced code. This multifaceted approach aims to provide evaluators with the tools to distinguish between a code generated by ChatGPT and a code genuinely created by students. With the collective efforts of educators, course administrators, and partnerships with AI developers, we believe it is feasible to uphold the integrity of programming education in this age of code-producing LLMs.
Low Complexity VLSI Architecture for OTFS Transceiver under Multipath Fading Channel
Authors: Shadangi Ashish Ranjan , Das suvra , Chakrabarti Indrajit
Published: October 2023

Orthogonal Time Frequency Space (OTFS) modulation has established itself as a dependable  protocol for high-speed vehicular communication. This pioneering technique operates within a novel two-dimensional (2D) delay-Doppler domain waveform. When juxtaposed with conventional modulation methods like orthogonal frequency division multiplexing (OFDM), OTFS demonstrates superior performance enhancements in scenarios involving rapidly moving wireless channels. This paper begins by initially unveiling the input-output association of the OTFS signal within the delay-time domain. A comprehensive comparison with the established OFDM waveform highlights the potential of OTFS for achieving notably lower bit error rate (BER) under various conditions, which has been obtained by using the Minimum Mean Square Equalizer (MMSE) equalization technique. Finally, we have proposed novel and low complexity Very-large-scale integration (VLSI) architecture for the OTFS transmitter and the receiver by using the LU decomposition technique for the first time in state-of-the-art. We have shown comparison of computational complexity of both direct implementation and LU decomposition techniques, followed by resource utilization, timing analysis, and functionality testing of the proposed architecture.
Pattern Analysis Using Lower Body Human Walking Data to Identify the Gaitprint
Authors: Wiles Tyler , Kim Seung Kyeom , Stergiou Nick , Likens Aaron
Published: October 2023

All people have a fingerprint that is unique to them and persistent throughout life. Similarly, we propose that people have a gaitprint, a persistent walking pattern that contains unique information about an individual. To provide evidence of a unique gaitprint, we aimed to identify individuals based on basic spatiotemporal variables. Healthy young adults were recruited to walk overground on an indoor track at their own pace for four minutes wearing inertial measurement units. A total of 18 trials per participant were completed between two days, one week apart. Four methods of pattern analysis, a) Euclidean distance, b) cosine similarity, c) random forest, and d) support vector machine, were applied to our basic spatiotemporal variables such as step and stride lengths to accurately identify people. Our best accuracy (99.38%) was achieved by the support vector machine and by the top 5 and top 10 most similar trials from cosine similarity. Our results clearly demonstrate a persistent walking pattern with sufficient information about the individual to make them identifiable, suggesting the existence of a gaitprint.
A Mathematical Analysis of Feature Extraction Methodologies with Application on Leaf Disease Detection
Authors: Kishore Akshat
Published: October 2023

This study compares novel and established feature extraction techniques for classifying leaf diseases. Conventional methods like Transfer Learning and DCT are contrasted with novel techniques like Segmentation using a hetero- geneous data set of healthy and diseased leaf images. With little training data, transfer learning is beneficial, but with large data, more efficient al- gorithms may be more suitable, such as the custom segmentation model described in this work. The development of efficient plant disease detection systems using the information from these discoveries would improve agricul- tural practises and increase food security.
ViterbiNet Transformed
Authors: Zukerman Gil , Czuckermann Idan , Giryes Raja
Published: October 2023

The article focuses on the problem of detecting transmitted data over an additive Gaussian noise channel. We propose an integration of various deep-learning architectures with the classical Viterbi algorithm for channel estimation and equalization, to improve the estimation performance.

The goal is to design communication schemes that are oblivious to the channel coefficients.

The study utilizes various deep-learning architectures to address the challenges of signal detection and data reconstruction over AWGN channels in communication systems, by learning the log-likelihood ratio (LLR) /priors of the channel as a function of the channel memory. We draw inspiration from the ViterbiNetmodel-based architecture and explore the implementation of novel deep neural network (DNN) architectures for channel estimation. These architectures include Convolutional Neural Networks (CNN), Transformer Encoder, Residual Convolutional Networks as well as SIONNA (by Nvidia) architecture.

The performance of these architectures was evaluated by bit-error-rate (BER) across different channel conditions by signal-noise-ratio (SNR). The results show an improvement of up to 1dB in signal-to-noise ratio performance in the moderate and high signal-to-noise ratio regions compared to previously proposed learning-based solutions. The experiments demonstrate the potential of DNN model-based architectures for symbol detection and channel equalization in communication systems.

Our work details the methodology used in the experiments, including the details of the DNN architecture implementation, data-set generation, channel model, training process, evaluation metrics, and semi-supervised online training method. The experiments demonstrate the performance of the proposed architectures and compare them to the classical Viterbi algorithm (with known CSI RS) and online Viterbi-Net pervious deep-learning-based architecture.

In conclusion, the article presents the integration of different model-based deep-learning architectures into the Viterbi algorithm for signal reconstruction of transmitted data over an additive Gaussian noise channel. The proposed architectures show promising results in improving the signal-to-noise ratio performance compared to existing learning-based solutions. These findings contribute to the advancement of communication systems and highlight the potential for further improvements in performance and robustness.
مرتكزات الخطاب الاعلامي في آيات الأحكام
Authors: حسين أسعد
Published: October 2023

يهدف البحث إلى رصد صور إعلامية قرآنية اعتمدها المفسرون في تحليلهم للخطاب القرآني، فهو لم يقتصر على مجال واحد أو موضوع معين بل جاء شاملا لكل نواحي الحياة ولعل الخطاب الإعلامي كذلك، والمرتكزات البيانية والصور الفنية القائمة في آيات الأحكام مضاف إليها الخصائص التي تتمتع بها العلاقات وتوظيفها في خدمة الحكم الشرعي؛ ولذا فإنه اتسم بالعمومية، وما اكسبه تلك العمومية المرتكزات التي استند عليه ذلك الخطاب والأهداف التي كان يسعى لتحقيقها، وفي ضوء ذلك نحاول في هذا البحث أن نسلط الضوء أولا على تلك المرتكزات في الخطاب الاعلامي التي تمثلت في القرآن الكريم وعلى وجه الخصوص في آيات الأحكام الذي اعتمدها المفسرون في بيان وتوجيه المعاني والدلالات.
التنمية السياحية المستدامة في العراقدراسة للفرص والتحديات (دراسة حالة)
Authors: خلف حسين
Published: October 2023

تعد السياحة من أهم القطاعات التي تلقى اهتماماً واسعاً من العديد من الدول خاصة في السنوات الأخيرة . وتلقى درجة كبيرة من الأهمية الاقتصادية لما لها من دور كبير في حياة الأمم والشعوب سياسياً واجتماعياً واقتصادياً.

والسياحة في العراق من القطاعات الواعدة وذلك لما يمتلكه من ثراء طبيعي و جغرافي وتاريخي الهائل ، مع العلم ان توافر الموارد السياحية ، مع أهميتها ، لا تكفي بمفردها لإقامة صناعة سياحية ناجحة ومستدامة ، اذ لابد من الوعي بالأهمية الاقتصادية للسياحة كصناعة من حيث تأثيرها الإيجابي كمصدر للعملات الأجنبية والاستخدام .

وتسعى هذه الدراسة الى تقييم اداء قطاع السياحة في العراق والى أهم الى المشاكل التي تواجه هذا القطاع الهام ، واقتراح بعض التوصيات العامة من أجل صناعة سياحية مستدامة
صدر المتألهين الشيرازي وحقيقة كتابه تفسير القرآن الكريم
Authors: المدني علي
Published: October 2023

يتسم كتاب تفسير القرآن الكريم لصدر المتألهين بأهمية كبيرة من بين مؤلفاته والذي عده الباحثون بأنه امتداد لكتبه الفلسفية, وهذه الأهمية جعلت الباحثين ينظرون اليه بنظرة البحث والتحقيق ، وقد وجد البحث أن هنالك اختلاف بينهم في تأليف هذا الكتاب من حيث أنه مؤلَّف بصورة مفرقة انتقائية أم بصورة متسلسة طبقا لتسلسل سور القرآن الكريم .

    كشفت هذه الدراسة مدى صحة هاتين النظريتين طبقا للدليل المساق من قبل هؤلاء الباحثين ووجدت بأن تفسير صدر المتألهين هو عبارة عن تفسيرين مفرق انتقائي ألفه بمدة زمنية محددة وبعدها بدأ بتفسير شامل وكبير متسلسل طبقا لتسلسل الآيات القرآنية الا أنه لم يتمه لقصر عمره بحسب البحث
التراكيب المعقدة-الزعمية في قصة الوجوه السبعة: دراسة في الاسلوبية التداولية
Authors: هاني خالد , ريشان عبد الحسين
Published: October 2023

تسلط هذه الدراسة الضوء على الجوانب الاسلوبية التداولية في القصة القصيرة (الوجوه السبعة) للكاتب الإنكليزي چارلس ديكنز. وبكلمة أخرى يحاول الباحث تحديد التراكيب النحوية والسمات التداولية العائدة لها بالإضافة الى أهمية كل منها في كشف مقاصد الكاتب. تفترض الدراسة وجود علاقة ما بين التراكيب التداولية النحوية والرسالة التي يبغي الكاتب ايصالها للقراء. ولغرض اثبات هذه الفرضية بدأت الدراسة بتمهيد حول الاسلوبية والتداولية والتداولية الاسلوبية. من ثم قام الباحث بتحليل الجوانب الاسلوبية والتداولية وفقا للنماذج التحليلية لكلا من ليچ وشورت (2007) وكويرك وآخرون (1985) وسيرل (1979). وبعد التحليل توصل الباحث الى اثبات ان الكاتب قد انجز مقاصده من خلال استخدامه الواسع للتراكيب المعقدة الزعمية
الشيطان في التراث الإسلامي. دراسة تاريخية
Authors: جبار هناء , ملحم حسن
Published: October 2023

تعنى هذه الدراسة بشكل رئيسي بالشيطان في التراث الإسلامي وحجة خلقه الأصلي وتأثيره على سلوك الإنسان. في الفكر الإسلامي ، يمثل قوة الشر الشيطان (الشيطان) أو الشيطان الذي هو عدو الإنسانية. عصى الشياطين الله لسجودهم لآدم لأنهم اعتقدوا أنهم أفضل من آدم وغيره من الملائكة. قال اللاهوتيون أن الشياطين لديهم القدرة على خداع غير المؤمنين من خلال الهمس في آذانهم لفعل الخطايا. في التقاليد الشعبية ، تغرس الشياطين الميل إلى الخطيئة في البشر عند الولادة وفقًا للمسيحية
الكلمات الإنكليزية المستعارة في العربية العراقية
Authors: ابو كروز حسن , العكيلي حسن
Published: October 2023

تعد الدراسة الحالية محاولة لمعرفة الكلمات المستعارة من اللغة الإنكليزية للهجة العربية العراقية. وبما إن اللغة الانجليزية لغةٌ عالميةٌ بحكم تفوق الولايات المتحدة الأمريكية والمملكة المتحدة سياسياً واقتصاديًا وإعلاميًا،  خلال القرن العشرين والقرن الواحد والعشرين فـقد حظيت الإنكليزية بنفوذٍ لافتٍ في لغاتٍ عدة، بما فيها اللهجة العربية العراقية، خصوصًا عقب الغزو الأمريكي للعراق في 2003 وثورة الإنترنيت. لذلك، فإن الدراسة تهدف إلى تمييز وجمع أعدادٍ كافيةٍ من تلك العناصر اللغوية المقترضة، وفق سياقاتٍ أكاديمية، لمقاربة عملية اقتراضها ودلالاته من منظور علم الاجتماع اللغوي. صنفت البيانات التي تم جمعها على أساس علاقتها بشرائح ومجتمعات معينة من العرب العراقيين. علاوةً على ذلك، تقدم الدراسة تفسيرًا لمعاني الكلمات بعد دخولها اللغة الجديدة، بما يساعد في دراسة التحولات الدلالية في أثناء تكييف الكلمات المقترضة من الإنكليزية إلى العربية العراقية.
مفهوم الرجوع في الإسلام السياسي والسلفية
Authors: خاني أحمد
Published: October 2023

الرجوع الي الاساسيات امر عادي و طبيعي بمجرد أن المجتمع البشرييواجه التهديد من قبل عوامل غريبه. و في العالم الاسلامي وقع هکذا الرجوع بعد المواجهه لتهديد الاجنبي في کل منطقه من مناطقه. لكن هل هذا الرجوع کان علي طريقه واحده في کل المناطق (السؤال). المفروض  في المقاله ان هذا الرجوع، خاصه المعاصره منه، وقع بطريقين، تفاعلي و مبتکر حيث تمثل السلفيه الاولي و يمثل الاسلام السياسي الثاني (الفرضيه). السلفيه بالترکيز علي  "الرجوع الي القرون الأولي"، و "المعارضه لتفسير النصوص الديني"،  "التحول" و "اقتصاص التاريخ" رجع الي الاساسيات بشکل تفاعلي و بينما لقد رجع الاسلام السياسي الي الاساسيات من خلال النظر في عوامل مثل "التأکيد علي تفسير النصوص الديني"، "الرجوع الي الاخرين و الحياه العاديه"
دراسة وتحليل استراتيجيات تعزيز الصحة النفسية (لاستقرار الأمن النفسي) في القرآن الكريم
Authors: مقدم مجتبى , فاضلي حميد , فراروئی شکراله , فاضلی امیر
Published: October 2023

الصحة هي حالة من الرفاهية أو نقص المرض ، وهي في الواقع امتياز إنساني ، لأن المرض والعجز يخلقان عقبات في طريق القيام بأشياء معينة. مفهوم الصحة له أهمية كبيرة في الممارسات الإسلامية. تبحث الدراسة الحالية عن حلول قرآنية تضمن الصحة النفسية والأمن. أيضًا ، هذا بحث نظري تم إجراؤه بطريقة وصفية تحليلية وبحث متعدد التخصصات لتطوير العلوم الإنسانية. بشكل عام ، يقسم القرآن الكريم صحة الإنسان إلى قسمين: الجسدية والعقلية. يقدم أربع استراتيجيات عامة من أجل تعزيز الصحة النفسية: "1. استراتيجيات البصيرة: الإيمان القوي ، والخضوع لله ، والقيامة ، وفهم رزق الله ، وما إلى ذلك. 2. استراتيجيات الحالة المزاجية: الإلمام بالقرآن ، والصلاة ، والدعاء ، والامتنان ، إلخ. 3. الاستراتيجيات التحفيزية: الأمل ، والهدف ، والثقة ، والتفكير الإيجابي ، 4. استراتيجيات العمل: الإحسان ، الصدقة ، الصفح ، الأمر بالمعروف والنهي عن المنكر ، إلخ. ونتيجة لذلك ، يقدم القرآن الكريم هذه الاستراتيجيات لضمان الأمن النفسي والصحة العقلية ، والتي ترتبط ارتباطًا مباشرًا ببعضها البعض.
Complications and Functional Outcomes of Total Hip Arthroplasty
Authors: Chowdhury Mamunur Rashid , Uddin Md Nasir , Islam Saiful , Hasan Md. Sabbir
Published: October 2023

Introduction: Total Hip Arthroplasty is mainly seen in adult patients due to different reasons. This replacement has some adverse effects and complications. In this study, the complications and functional outcomes of THA has been discussed. Aim of the study: The aim of this study was to observe the complications that may arise after total hip arthroplasty. In this study, functional outcomes of THA was also another concern. Methods: This prospective observational study was conducted in the Department of Orthopedics in Community Based Medical College, Bangladesh and a private clinic during the period from January 2018 to July 2023 jointly. This study had institutional review board approval and informed consent for evaluation of study patients’ reports and outcomes. A general health questionnaire is used for data collection, the SF-8 Health Survey (SF-8), and a disease-specific health questionnaire, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) to assess functional outcomes after THA. Result: The result to date show a general occurrence of both in-hospital and post-release difficulties of around 7% in THA patients. Fractures (0.6%) and cardiac events (0.4%) are the most common complications that occur in the hospital for THA patients. The most well-known post-release complications in THA patients are reoperation because of bleeding, wound necrosis, wound infection, or different causes. For both situations, the incidence of bleeding complications was lower than that of other adverse events. Conclusion: According to the observers, in both groups, in-hospital or after 3 months of surgery, the result was in expected improvements in functional outcomes. More youthful patients and patients who had been released straightforwardly to their homes appeared to have the best improvement in useful result after a surgery.
Profil dan Kesintasan Penderita Kanker Kolorektal RS Bethesda Yogyakarta
Authors: Ang Supono Effie , Jayadi Tejo , Hariatmoko  , Siagian Jonathan Willy
Published: October 2023

Kanker kolorektal pada tahun 2020 merupakan penyebab kematian paling banyak kedua dari seluruh kasus kanker. Di Indonesia, jumlah kasus baru kanker kolorektal sebesar 8,6% (34.189) dari seluruh kasus baru kanker. Data terkait kenaikan jumlah kasus, jumlah kematian, jenis kanker tersering sudah sering dilaporkan di Indonesia namun terkait dengan kesintasan masih jarang dilaporkan. Penelitian ini bertujuan untuk memberikan informasi terkait profil dan kesintasan kanker kolorektal di Rumah Sakit Bethesda Yogyakarta. Penelitian ini menggunakan metode deskriptif observasional dengan desain potong lintang. Data diambil dari rekam medis RS Bethesda Yogyakarta periode tahun 2013-2021 dan dianalisis secara univariat. Hasil penelitian menunjukkan jenis kelamin terbanyak adalah laki-laki 63,6%, kelompok usia tua (>40 tahun) 93,5%, keluhan terbanyak berupa perubahan pola BAB 72,53%, jenis histopatologi epitel (adenokarsinoma) 92,2%, lokasi kiri 90,9%, didiagnosis pada stadium IV 39%, tata laksana pembedahan 84,42%, dan kesintasan 2 tahun 20,8%. Kesimpulan penelitian ini adalah profil kanker kolorektal lebih banyak pada jenis kelamin laki-laki, usia tua, keluhan berupa perubahan pola BAB, histopatologi tipe sel epitel (adenokarsinoma), lokasi kiri, stadium IV, tata laksana paling banyak pembedahan, serta kesintasan 2 tahun adalah 20,8%.
Prolonged Grief Disorder di Masa Pandemi COVID-19: Suatu Tinjauan Pustaka
Authors: Wiyoga Renata Listian , Indriarti Maria Rini , Septiawan Debree
Published: October 2023

Duka cita umumnya dapat mereda dengan sendirinya, sedangkan individu yang mengalami duka cita secara terus-menerus dan mengganggu fungsinya selama lebih dari satu tahun dikatakan mengalami “prolonged grief disorder”. Tujuan penulisan artikel ini adalah untuk memaparkan faktor resiko prolonged grief disorder, diagnosa dan asesmen, tata laksana, serta implikasi pandemi COVID-19 terhadap prolonged grief disorder. Dalam melakukan pencarian literatur kata kunci yang digunakan adalah: complicated grief, persistent complex bereavement disorder, pandemic COVID-19, dan prolonged grief disorder. Total artikel yang ditemukan melalui database adalah 187 artikel, yang terdiri dari PubMed 155 artikel dan Google Scholar 32 artikel. Artikel-artikel tersebut dilakukan penilaian kritis dengan hasil akhir 10 artikel dimasukan kedalam literatur review ini. Tinjauan Pustaka ini menunjukkan adanya potensi peningkatan kasus prolonged grief disorders akibat pandemi COVID-19 di masa depan. Beberapa skala penilaian, termasuk self-report dan kuesioner dapat digunakan untuk menilai gejala duka cita tertentu dan untuk melacak kemajuan pengobatan. Diagnosis prolonged grief disorder tidak semata-mata didasarkan pada instrumen self-report tetapi juga mencakup evaluasi yang dilakukan oleh dokter. Pendekatan berbasis bukti baik psikofarmaka atau psikoterapi seperti complicated grief treatment terbukti mengobati gejala prolonged grief disorder.
RESULTS OF THE STUDY OF BONE TISSUE QUALITY AND MORPHOLOGICAL DIAGNOSTICS OF THE SINUS LIFTING ZONE AND DENTAL IMPLANTATION WITH THE APPLICATION OF COMPARABLE DIAGNOSTIC VISUALIZATION TECHNIQUES
Authors: Беленова И.А. , Попова О.Б. , Шалаев О.Ю. , Беленова М.С. , Примачёва Н.В. , Проценко Н.А.
Published: October 2023

Данная работа представляет собой завершенное исследование, посвященное разработке оптимального алгоритма диагностической визуализации для мониторингового сопровождения операций синус-лифтинга и последующей дентальной имплантации. В связанной выборке пациентов произведен сопоставительный анализ эффективности традиционной рентгенографии и компьютерной конусно-лучевой томографии в качестве методов диагностической визуализации для сопровождения операций синус-лифтинга и последующей дентальной имплантации. При этом были исследованы показатели морфологических характеристик / соотношений и качества костной ткани в зоне имплантации на этапах ее планирования по итогам проеденной подготовительной операции синус-лифтинга. Результаты исследования являются эмпирическим подтверждением следующих научных фактов: применение традиционной рентгенографии представляет значительное количество диагностической информации в аспекте визуализации морфологических характеристик зоны имплантации, которое, однако, является недостаточным для полноценного планирования операций синус-лифтинга и последующей установки дентальных имплантатов; применение дентальной КЛКТ представляет полное (на уровне 100%) количество диагностической информации в аспекте визуализации морфологических характеристик зоны имплантации, которое, соответственно, является достаточным для полноценного планирования операций синус-лифтинга и последующей установки дентальных имплантатов

This work is a completed study on the development of an optimal diagnostic imaging algorithm for monitoring support of sinus lift operations and subsequent dental implantation. In a related sample of patients, a comparative analysis was made of the effectiveness of traditional radiography and computed cone beam tomography as diagnostic imaging methods for accompanying sinus lift operations and subsequent dental implantation. At the same time, indicators of morphological characteristics / ratios and quality of bone tissue in the implantation zone were studied at the stages of its planning following the results of the preparatory operation of the sinus lift. The results of the study are empirical confirmation of the following scientific facts: the use of traditional radiography provides a significant amount of diagnostic information in terms of visualization of the morphological characteristics of the implantation zone, which, however, is insufficient for the full planning of sinus lifting operations and the subsequent installation of dental implants; the use of dental CBCT provides a complete (at the level of 100%) amount of diagnostic information in terms of visualization of the morphological characteristics of the implantation zone, which, accordingly, is sufficient for the full planning of sinus lifting operations and the subsequent installation of dental implants
AUTOMATED DESIGN AND CALCULATION OF RELIABILITY OF ELECTROPUNCTURE STIMULATOR
Authors: Новикова Е.И. , Степанова А.Ю.
Published: October 2023

В последние годы возросло число научных работ и исследований, направленных на применение электропунктурной терапии в комплексном лечении заболеваний различного характера, таких как иммуномедиированный дерматоз, артериальная гипертония, болезнь Паркинсона и многие другие. Эта тенденция обусловлена тем, что электропунктурная терапия имеет широкий спектр лечебных действий, является неинвазивным методом, а также почти не имеет побочных эффектов. Но несмотря на все это на современном рынке медицинской аппаратуры представлено небольшое количество изделий для электропунктурной терапии, большинство из которых либо имеют очень высокую стоимость, либо не пригодны для терапевтических целей в связи с ограниченностью параметров выходного воздействия. Именно поэтому в статье рассматривается создание и расчет надежности принципиальной электрической схемы электропунктурного стимулятора, указаны принципиальная электрическая схема и элементная база устройства. Вместе с тем произведен анализ принципиальной электрической схемы с позиции надежности на основе экспоненциального закона. Основной целью создания электропунктурного стимулятора является повышение доступности использования электропунктурной терапии и улучшение его терапевтического эффекта, оказанного в комплексном лечении различных заболеваний

In recent years, the number of scientific papers and studies aimed at the use of electropuncture therapy in the complex treatment of diseases of various types, such as immunomediated dermatosis, arterial hypertension, Parkinson's disease and many others has increased. This trend is due to the fact that electropuncture therapy has a wide range of therapeutic actions, is a non-invasive method, and also has almost no side effects. But despite all this, a small number of products for electropuncture therapy are presented on the modern market of medical equipment, most of which either have a very high cost or are not suitable for therapeutic purposes due to the limited parameters of the output effect. That is why the article discusses the creation and calculation of the reliability of the basic electrical circuit of an electropuncture stimulator, the basic electrical circuit and the element base of the device are indicated. At the same time, the analysis of the basic electrical circuit from the point of view of reliability on the basis of the exponential law is carried out. The main purpose of creating an electropuncture stimulator is to increase the availability of electropuncture therapy and improve its therapeutic effect in the complex treatment of various diseases
ПРАВОВОЕ ОБРАЗОВАНИЕ СТУДЕНТОВ ЮРИДИЧЕСКИХ ВУЗОВ
Authors: Ходжалиев С.А. , Хаджиев У.К.
Published: October 2023

Статья посвящена особенностям российской системы правового образования студентов юридических вузов. Приводится понятие правового образования, рассматриваются виды методик правового образования, раскрывается современный подход к обучению юристов, а также значение практики в таком обучении.
ВЛИЯНИЕ КЛИНИЧЕСКОГО ОБРАЗОВАНИЯ НА ПРОЦЕСС ПОДГОТОВКИ БУДУЩИХ ЮРИСТОВ
Authors: Ахмаров А.В. , Ахмаров Т.-А.В. , Джамбеков Т.Х.
Published: October 2023

В данной статье исследуется влияние юридического клинического образования на подготовку юристов и формирование их навыков и компетенций. В частности, анализируются компетенции, которые развиваются через участие в юридических клиниках, включая коммуникационные навыки, умение решать проблемы, этическую компетенцию и умение вести переговоры. В работе также анализируется эффективность данного метода обучения в разрезе дидактических решений трансформирования системы обучения будущих юристов.
РАЗВИТИЕ ЮРИДИЧЕСКОГО КЛИНИЧЕСКОГО ОБРАЗОВАНИЯ В РОССИЙСКОЙ ФЕДЕРАЦИИ
Authors: Альханов Н.М. , Хамбиев А.И.
Published: October 2023

В качестве нового типа образования и режима обучения юридических специалистов режим юридического клинического образования преодолевает барьеры, разделяющие юридическую теорию и юридическую практику в традиционном режиме обучения и осуществляет скачок между теорией и практикой. Однако с углубленным развитием юридического клинического образования было выявлено множество проблем. Исходя из этого, в данной статье основное внимание уделяется методу внедрения кооперативного механизма в модель юридического клинического образования для повышения его опережающей силы и повышения качества образования и уровня юридического клинического образования.
ИССЛЕДОВАНИЕ РАБОТЫ ЮРИДИЧЕСКОГО КЛИНИЧЕСКОГО ОБРАЗОВАНИЯ В РОССИЙСКОЙ ФЕДЕРАЦИИ
Authors: Оздамирова Л.М. , Берснукаева Р.Ю.
Published: October 2023

Клиническое юридическое образование представляет собой новую модель юридического образования, имеющую положительное значение для воспитания практических юридических специалистов. В соответствии с реальной ситуацией с юридическим образованием в Российской Федерации в данной статье исследуются первопричины в развитии юридического клинического образования в России, рассматриваются некоторые методы, которые могут быть приняты университетами при использовании модели юридического клинического образования.
Analisis Kualitas Tahanan Isolasi Pada Transformator Dengan Preventive Maintenance di Gardu Induk Garuda Sakti
Authors: Efryansah Randra Agustio , Aini Zulfatri
Published: October 2023

Transformers work around the clock to maintain the stability of power distribution to the community. If inspections and maintenance are not done, it will cause problems such as disturbances and damage, one of which is a disturbance in transformer insulation resistance caused by high operation factors, temperature, leakage current, and equipment age that can cause a decrease or damage in insulation quality. Therefore, it is important to do regular maintenance, one of which is through preventive maintenance as an effort to know the quality of insulation resistance on transformers. In this study, preventive maintenance was carried out which includes four methods, namely polarization index, tangent delta, breakdown voltage, and voltage ratio, which are useful for knowing the feasibility of insulation resistance quality with the established standards and next preventive steps. This research took data at Garuda Sakti Main Substation, the data included testing data from polarization index, tangent delta, breakdown voltage, and voltage ratio. The results of the discussion were obtained in transformer 1 and 3 were still within the allowed standard, but there were some parts of transformer insulation that experienced a decrease in quality and preventive maintenance needs to be done. The preventive maintenance step from the deterioration of the polarization index is that cleaning between windings is needed to minimize deterioration. In the breakdown voltage, further examination is needed, such as purifying in order to increase the dielectric strength of oil in the transformer.

Keywords - Transformer, Isolation Resistance, Preventive Maintenance, Polarization Index.
The Influence Of Product Quality, Price, And Promotion And Their Relationship To Consumer Decisions In Buying Queen Accessories Products In The City Of Surakarta
Authors: Fusanita Adisa , Rumaningsih Mrihrahayu , Darmaningrum Kurniawati
Published: October 2023

This study aims to determine: (1) The effect of quality on consumer decisions in purchasing queen accessories products in the city of Surakarta, (2) To determine the effect of price on consumer decisions in buying queen accessories products in the city of Surakarta, (3) To determine the effect of promotion on consumer decisions in buying queen accessories products in the city of Surakarta, and lastly, (4) To find out whether the three variables together influence consumer decisions in buying queen accessories products in the city of Surakarta. The method used in this research is a survey method by distributing questionnaires. The technique used is purposive sampling. Samples taken as many as 100 respondent. The data analysis used was multiple linear regression analysis using the SPSS version 22 application. This study (1) partially product quality has a positive and significant influence on buying decisions with a Beta value of 27%. (2) partially the price of the product has a positive and significant influence on buying decisions with a Beta value of 25%. (3) partially promotion has a positive and significant influence on buying decisions with a Beta value of 31%. (4) simultaneously quality, price, and promotion have a positive and significant effect on purchasing decisions, with an F value of 2.70 and Sig. 0.000, so that 34.508 > 2.70 is obtained and the value of Sig. 0.000 < 0.05
Consumer Preference Analysis Of Melon (Cucumis Melo. L) In Traditional Markets In Karanganyar Regency
Authors: Mahananto Mahananto , Prasetyo Agung , Madiyatama Ricko
Published: October 2023

An increase in fruit consumption in Central Java Province occurred from

 

2017 to 2019. Meanwhile, from 2017 to 2021 melon production in Karanganyar Regency has decreased significantly. This is because from time to time consumer tastes tend to change. This study aims to determine the attributes of melons that are consumer preferences and which are considered by consumers in purchasing melons in traditional markets in Karanganyar district. This research method is quantitative and data analysis uses Chi Square and Fishbein Multiattributes. The results showed that the most considered attribute was the taste attribute with a calculated X² value of 22.533. While the attribute that is not a preference is weight with a calculated X² value of 0.533. Consumer attitudes towards the attributes of the melon fruit indicate that taste is the attribute most considered by consumers in making purchases with an attitude value of 8.88. While the price tag is an attribute that is not considered by consumers in purchasing melons.
PEMBERDAYAAN MASYARAKAT DI ERA NEW NORMAL MELALUI EKONOMI KREATIF PROGRAM PADAT KARYA DI LINGKUNGAN BANJAR SENTAL KANGIN NUSA PENIDA
Authors: Gde Bayu Surya Parwita  , Putu Paradita Megayanti Fitriani  , Putu Ayu Paramita Dharmayanti
Published: October 2023

Banjar Sental Kangin secara topografi terdiri atas perbukitan dan dekat dengan pantai, sehingga desa/banjar ini sangat dekat dengan objek-objek wisata yang banyak dikenal di pulau Nusa Penida. Dengan adanya objek wisata ini, sebagian besar mata pencaharian masyarakat di Banjar Sental Kangin adalah sektor pariwisata. Masyarakat Banjar Sental Kangin juga bekerja sebagai Pegawai Negeri Sipil, karyawan swasta, wiraswasta, dan juga petani. Namun, karena adanya pandemi covid-19 ini menyebabkan segala aktifitas masyarakat sangat dibatasi, pariwisata ditutup, sekolah ditutup sementara, sehingga banyak masyarakat yang work from home atau pun belajar dirumah, dan ada beberapa masyarakat yang tidak bekerja. Hal ini yang menimbulkan masalah pada aspek-aspek kehidupan masyarakat, seperti kesehatan, pendidikan dan juga perekonomian masyarakat utamanya yang menjadi sorotan disini adalah ibu-ibu.