bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Work Duration and Spinal Trauma on Low Back Pain in the Warship Production Support Departement
Authors: Dewi Indah Ayu Sukma Ning , Winarko  , Wardoyo Iva Rustanti Eri , Nurmayanti Demes
Published: December 2023

Low back pain (LBP) is recognized as one of the prevalent occupational ailments that can significantly influence work productivity. Within the Warship Division Production Support Department of PT. PAL Indonesia, employees have reported instances of low back pain following prolonged periods of working in a seated position, slightly bent over computer screens, for approximately 8 hours daily, in a routine manner. This study aims to analyze the correlation between the duration of work and the occurrence of spinal trauma in relation to the prevalence of low back pain. Conducted in an analytic observational framework with a cross-sectional approach, this research encompasses all personnel within the Production Support Department, comprising a sample size of 39 workers. Statistical analysis of the data was conducted employing the Fisher's Exact Test. The study outcomes indicate that 71.8% of the workers experienced LBP characterized by minimal disability, whereas the remaining 28.2% reported LBP associated with moderate disability. The study also found that the majority of workers had a moderate work duration (4-5 hours/day) (35.9%), had no spinal trauma (76.9%), and complained of LBP with minimal disability (71.8%). The statistical analysis demonstrated a significant correlation between work duration (p-value = 0.028) and spinal trauma (p-value = 0.000) with the occurrence of LBP. In order to mitigate the LBP, workers are advised to attentively address the relevant risk factors present in their workplace. This proactive approach aims to minimize the incidence of LBP arising from their routine tasks.
PEMBERDAYAAN MASYARAKAT MELALUI PEMANFAATAN HASIL LAUT UNTUK MENINGKATKAN HARGA JUAL YANG RENDAH DI DESA MANDEL
Authors: Sulang Maston , Panggolong Meilike , Batombukan Nosvin B. , Pitemo Yulice
Published: December 2023

Program studi Teologi STT Star's Lub mengadakan kegiatan pengabdian kepada masyarakat melalui program KKN-Tematik di Desa Mandel, Kecamatan Bokan Kepulauan, Kabupaten Banggai Laut, Provinsi Sulawesi Tengah pada bulan Mei sampai Juli 2023 dengan tema “Pembangunan Usaha Mikro Di Desa”, dan sub-tema “Penjualan Hasil Nelayan”.  Mayoritas penduduk di Desa Mandel berprofesi sebagai nelayan yang mengandalkan hasil laut untuk kebutuhan mereka. Meski tinggal di daerah perikanan yang baik, tetapi harga jual dari hasil laut mereka sangat rendah sehingga berdampak pada perekonomian masyarakat di desa tersebut.  Dalam kegiatan tersebut, peserta KKN-Tematik mendampingi masyarakat memanfaatkan hasil laut untuk meningkatkan perekonomian masyarakat di Desa Mandel dengan cara mengelola hasil laut nelayan menjadi produk ikan asin. Peserta KKN-Tematik bersama masyarakat desa juga membuat produk keripik tepung, serta mendampingi masyarakat dalam pemasaran produk tersebut agar dapat didistribusikan ke desa lain atau kota.
MINIMNYA PARTISIPASI JEMAAT DALAM PELAKSANAAN PENEGUHAN SIDI DI JEMAAT BUKIT ZAITUN TONGKE
Authors: Abot Nanda
Published: December 2023

Penelitian ini mengkaji tentang penyebab minimnya partisipasi anggota jemaat dalam melaksanakan peneguhan sidi, dan juga menganalisis upaya yang dapat dilakukan untuk mengatasi masalah tersebut. Penelitian ini dilakukan di GKLB (Gereja Kristen Luwuk Banggai), jemaat Bukit Zaitun Tongke, dengan menggunakan metode kualitatif dan melibatkan tiga belas informan yang diwawancarai. Hasil penelitian ini, ditemukan bahwa jemaat tidak memahami makna peneguhan sidi karena terikat tradisi dan faktor pendidikan. Oleh karena itu, dibutuhkan peranan gereja untuk memberikan pemahaman sehingga jemaat dapat memberikan diri untuk melaksanakan peneguhan sidi.
Investigating PV Module Far-Field Radiation: A Measurement and Circuit-CEM Hybrid Modelling Approach
Authors: Coetzer Kurt , Wiid Pieter Gideon , Rix Arnold
Published: December 2023

Lightning-produced electromagnetic fields can couple into photovoltaic (PV) installations and cause damage. This study examines the far-field radiation patterns of a small and a large PV module between 9 kHz and 30 MHz – by both measurement and simulation. Due to reciprocity, these are also the susceptibility patterns. Firstly, the radiation patterns of each PV module are measured using a vector network analyser and a receiving loop antenna at multiple positions. Secondly, the radiation patterns of each PV module are computed using a novel circuit-computational electromagnetic hybrid methodology. This methodology is applied to two literature-based models, as well as four recently-proposed PV module models. Postprocessing is applied to both the measured and simulated results to produce the realized gain in each case - allowing fair comparisons to be made. The measured gain results over the full frequency range are then presented. The small PV module shows low levels of gain, peaking at -32.5 dB at 30 MHz, whilst the large PV module shows much higher levels of gain, peaking at -16.9 dB at 10.5 MHz. Following this, the measured and simulated radiation patterns are compared at the frequencies where maximum gain occurs. The small PV module exhibits directional radiation characteristics, whereas the large PV module shows omnidirectional operation – one of many novel findings produced by this study.
DAO-FL: Enabling Decentralized Input and Output Verification in Federated Learning with Decentralized Autonomous Organizations
Authors: Majeed Umer , Hassan Sheikh Salman , Han Zhu , Hong Choong Seon
Published: December 2023

Federated Learning (FL) has emerged as a decentralized machine learning paradigm that facilitates collaborative training of a global model (GM) across multiple devices while maintaining data privacy. Traditional FL systems suffer from centralized validation of local models and GM updates, compromising transparency and security. In this paper, we propose DAO-FL, a smart contract-based framework that leverages the power of Decentralized Autonomous Organizations (DAOs) to address these challenges. DAO-FL introduces the concept of DAO Membership Tokens (DAOMTs) as a governance tool within a DAO. DAOMTs play a crucial role within the DAO, facilitating members' enrollment and expulsion. Our framework incorporates a Validation-DAO for decentralized input verification of the FL process, ensuring reliable and transparent validation of local model uploads. Additionally, DAO-FL employs a multi-signatures approach facilitated by an Orchestrator-DAO to achieve partially decentralized GM updates, and thus decentralized output verification of the FL process. We present a comprehensive system architecture, detailed execution workflow, implementation specifications, and qualitative evaluation for DAO-FL. Evaluation under threat models highlights DAO-FL's out-performance against traditional-FL (FedAvg), effectively countering input and output attacks. DAO-FL excels in scenarios where decentralized input and output verification are crucial, offering enhanced transparency and trust. In conclusion, DAO-FL provides a compelling solution for FL,  reinforcing the integrity of the FL ecosystem through decentralized decision-making and validation mechanisms. 
Applicability Extension and Calculation Acceleration of Pattern-Multiplication Principle in Far-Field Analysis of Conformal Arrays
Authors: Zhao Li , Cheng You-Feng , Liao Cheng , Peng Fan , Gao Guo-Feng , Ding Xiao
Published: December 2023

This paper proposes a near-field Euler rotation-based technique to transform the far-field calculation of arbitrary conformal arrays into the pattern-multiplication form. Additionally, the calculation is greatly accelerated by a three-dimensional virtual equivalent source expansion (3-D VESE) technique and a layer-wise two-dimensional fast Fourier transform (2-D FFT) technique. Computational complexity analysis and several numerical examples validate the advantages of the proposed solution in terms of the efficiency and accuracy.
Joint Detection Algorithm for Multiple Cognitive Users in Spectrum Sensing
Authors: Meng Fanfei , Zhang Lele , Wang Yuxin , Zhao Yingxin
Published: December 2023

Spectrum sensing technology is a crucial aspect of modern communication technology, serving as one of the essential techniques for efficiently utilizing scarce information resources in tight frequency bands. This paper first introduces three common logical circuit decision criteria in hard decisions and analyzes their decision rigor. Building upon hard decisions, the paper further introduces a method for multi-user spectrum sensing based on soft decisions. Then the paper simulates the false alarm probability and detection probability curves corresponding to the three criteria. The simulated results of multi-user collaborative sensing indicate that the simulation process significantly reduces false alarm probability and enhances detection probability. This approach effectively detects spectrum resources unoccupied during idle periods, leveraging the concept of time-division multiplexing and rationalizing the redistribution of information resources. The entire computation process relies on the calculation principles of power spectral density in communication theory, involving threshold decision detection for noise power and the sum of noise and signal power. It provides a secondary decision detection, reflecting the perceptual decision performance of logical detection methods with relative accuracy.
Intelligent Control Over Multiple Ovens by Connection Models
Authors: Froes Poalo , Vuro Avaito , Bahar Lames
Published: December 2023

Intelligent control technology and intelligent information integration technology are the two core technologies of intelligent control system. In this paper, intelligent control and intelligent system are studied from two perspectives: multi-agent integration and neural network intelligent control technology. The multi-agent oriented research aims to provide an architecture suitable for information integration of distributed intelligent control systems. The research of neural network aims to deeply study the theory and technology of neural control, an important branch of intelligent control. The main conclusions of this paper are as follows: In the aspect of multi-layer forward neural network learning algorithm, the weight learning and structure learning methods of multi-layer forward neural network are studied. A heuristic genetic algorithm for sample division and a composite structure learning method are proposed. The sample division heuristic genetic algorithm uses the sample division method to construct the initial genetic population, and combines the subspace division for heuristic search. Several algebraic properties of sample set classes and their training are presented and proved.
Asymmetric Windowing Recurrence Plots on Input Formulation for Human Emotion Recognition
Authors: Prabowo Dwi Wahyu , Setiawan Noor Akhmad , Debayle Johan , Nugroho Hanung Adi
Published: December 2023

Our study delves into the challenges of emotion recognition through electroencephalogram (EEG) signals in brain-computer interface systems. Recognizing the limitations of existing methods in accurately capturing intricate emotional patterns in EEG data, we propose a novel approach using asymmetric windowing recurrence plots (AWRP). This technique was designed to enhance the efficiency and accuracy of emotion recognition by encoding EEG signals into detailed image representations that are suitable for advanced deep neural network analysis.

Through empirical validations using benchmark datasets (DEAP and SEED), our method demonstrated significant improvements in classification accuracies, notably outperforming existing state-of-the-art methodologies. These findings not only contribute to the field of EEG-based emotion recognition, but also present a novel perspective that can guide future research in neural system analysis and rehabilitation engineering. 
A Magnetic Field-Based Wearable Respiration Sensor for Real-Time Monitoring During Pulmonary Rehabilitation
Authors: Carmo Ana Sofia , Carvalho Inês , Pinto Joana F. , Chambel Gonçalo , Martins Ana , Roberto Rute , Ferreira Hugo , Rodrigues Fátima , Fred Ana , da Silva Hugo Plácido
Published: December 2023

Objective: In the context of pulmonary rehabilitation exercise training, wearable real-time monitoring of respiratory patterns may represent a valuable tool in increasing accessibility to treatment, as well as expanding the opportunities of treatment automation and locomotor-respiratory coupling. This work explores Hall effect sensing, paired with a permanent magnet, embedded in a chest strap. Methods: Experimental evaluation was performed considering as reference the gold-standard of respiratory monitoring, an airflow transducer, and performance was compared to another wearable device with analogous usability but with a different working principle - a piezoelectric sensor, also embedded in a chest strap. A total of 16 healthy participants performed 15 different activities, representative of pulmonary rehabilitation exercises, simultaneously using the three devices. Evaluation was performed based on detection of flow reversal events, as well as fiducials detection latency. Results: The proposed sensor shows comparable performance to the piezoelectric sensor with a mean ratio, precision, and recall of 1.10, 0.89, and 0.98, respectively, against 1.35, 0.71, and 0.96 of the piezoelectric sensor, overall also presenting consistently smaller latencies. Conclusion: The characterization of the proposed sensor also shows adequate monitoring capabilities for exercises that do not rely heavily on torso mobility, but may present a limitation when it comes to activities such as torso rotations and side stretches. Significance: This work expands the applicability of Hall effect sensors, demonstrating their use in the context of real-time respiratory monitoring.
Sustainable Artificial Intelligence Systems: An Energy Efficiency Approach
Authors: Hidalgo Ignacio , Fenández-de_Vega Francisco , Ceberio Josu , Garnica Oscar , Velasco J. Manuel , Cortés Juan Carlos , Villanueva Rafael , Díaz Josefa
Published: December 2023

The energy consumption of Artificial Intelligence (AI) systems has increased 300,000-fold from 2012 to now, and data centers running massive AI software produce up to 5-9% of global electricity demand and 2% of all CO2 emissions. Such an increase in energy consumption has been partially motivated by the strong development of new AI-specific architectures to improve the performance of AI models. Nevertheless, the AI community has recently become aware of the importance of considering energy efficiency as a metric when developing AI techniques. To date, a great effort has been made to find optimal AI model configurations that provide the best solution in the shortest possible time. However, only a few works have sought a compromise between energy cost and system performance. This paper analyses recent efforts in these directions and proposes the path toward energy-efficient AI. We describe a set of energy efficiency strategies for applying and deploying AI models on different computing infrastructures in search of democratizing an environmentally sustainable AI. To that end, we propose a full-stack approach of energy-efficient AI and analyze the role that different types of users should play, tackling the energy-focused optimization in all steps of the AI model design flow, from the high levels of models and algorithm design to the low levels ones, more related to the hardware and architecture.
A Dynamic Interactive Learning Interface for Computer Science Education: Programming Decomposition Tool
Authors: Meng Fanfei , Wang Chen-ao
Published: December 2023

When the coding assignments step into more complicated and structured periods for individuals, how to cultivate the skills have become the urgent needs for people who are engaged in sophisticated coding development in both academics as well as industries, especially those who have some basic knowledge in their undergraduate studies. In this paper, a state-of-art interactive tool: Programming Decomposition Tool(PDT) is proposed to help people enhance their complicated coding skills and further to broaden their CS learning horizons. The tools have two unique features: 1. The learning interface is adaptive and dynamic with respect to the detection of the knowledge depth of users. 2. Difficult learning parts will be decomposed into several easier sessions for better acquisition.
A Collaborative Drone-Truck Delivery System with Memetic Computing Optimization
Authors: Zhai Ruonan , Mei Yi , Guo Tong , Du Wenbo
Published: December 2023

With technological breakthroughs, drone deliveries have become increasingly popular, especially during the COVID-19 pandemic. Driven by both economical benefit and efficiency, drone-truck combined deliveries are in demand. However, it is very challenging to handle the collaboration between trucks and drones. Existing methods for truck-only routing cannot be directly applied, since their solution representations and search operators cannot consider the drone-truck collaborations effectively. In this paper, we model the system as Traveling Salesman Problem with Drones (TSP-D), and propose a new memetic algorithm named MATSP-D for solving it. Specifically, we design a new drone-truck solution representation and develop new crossover and local search operators under the new representation, which can modify the drone services effectively. MATSP-D conducts exploration by crossover, and exploitation by a variable neighborhood search process. The experimental results show that the proposed MATSP-D significantly outperforms the state-of-the-art algorithms for most test instances, especially the large instances with more complex collaborations between the truck and drone. Further analysis verifies the effectiveness of the newly developed local search operators in searching for better drone-truck collaborations.
A Comprehensive Review on Reconfigurable Intelligent Surface for 6G Communications: Overview, Deployment, Control Mechanism, Application, Challenges, and Opportunities
Authors: Hasan Syed Rakib , Sabuj Saifur
Published: December 2023

The development of our neoteric scientific fields has reached such a magnificent level that the benefits from innovation have extended to all regions, including those most distant. Modern information and communication network systems have greatly improved the overall effectiveness and performance of the wireless networks. With the emergence of cellular networks, the wireless communication network system has evolved from the first generation to the sixth generation (6G), which will provide an integrated framework for a variety of utilities and applications. The goal of 6G network systems is to improve channel capacity, low bit rate error, efficient signal transmission, and low latency while providing reliable connectivity and seamless communication. Various technologies are integrated with 6G network systems to provide controlled, efficient, and reliable communication. One emerging technology for 6G communication network systems is reconfigurable intelligent surfaces (RIS), which is ideal for smooth and controllable wireless signal transmission. RIS uses smart beamforming methods with the assistance of an electronic circuit controller to provide superior signal quality. This study presents a complete overview of RIS, including its hardware architecture, key characteristics, control mechanism, operating frequency, communication duplex mode, and operating mode. The study also elaborates on the RIS operational environment, advantages of implementing RIS, deployment, and different types of communication by utilizing RIS. Finally, we conclude with a discussion of challenges and future research directions to overcome limitations to achieve the goal of RIS implementation and RIS-aided communication for 6G communication systems.
MODRA: Multi-Objective Distributed Routing Algorithm
Authors: Prihodko Maxim , Rakhimov Abdurasul , Das Biswarup , Krantsevich Artem , Yang Pingan , Jin Jian , Hu Zhibo , Dai Longfei
Published: December 2023

This paper develops a systematic strategy to construct a model of an IP Network with multiple weight links and proposes a multi-objective distributed routing algorithm (MODRA) for the One-to-All and All-to-All Multiobjective Shortest Path (MOSP) Problems. The formal proof of a loop-free routing in a distributed mode is given, as well as extensive experiments are performed in simulated networks to show the algorithm performance. The proposed algorithm is based on the single dimension path conversion principle and constructs a ”Shortest” Path Tree w.r.t. the given single dimension path conversion metric. In this work, the proposed MODRA is tested on four network topologies with two-weight links and different configurations, and the performance is evaluated w.r.t. multiple upperbound path constraints. The algorithm is used to compute a Routing Information Base (RIB) table in each node. Then the distributed hop-by-hop packet routing is simulated and the actual path traversed by a packet is compared to the initially computed one. Our approach supports arbitrary topology, number of additive link weights and shows good performance in terms of computing feasible paths satisfying the given multiple upper-bound constraints. The proposed algorithm is implemented and tested in a simulated environment, and the framework of this work could be adopted to design other routing algorithms for multi-objective distributed routing in IP Networks. The algorithm performance evaluation shows its’ ability to compute efficient paths w.r.t. multiple upper-bound constraints, guarantee loop-free distributed routing and satisfy strict execution time requirements. The algorithm is fully compatible with the current router architecture and can be easily implemented in a router.
Enhancing Exploration in Actor-Critic Algorithms:An Approach to Incentivize Plausible Novel States
Authors: Banerjee Chayan , Chen Zhiyong , Noman Nasimul
Published: December 2023

Actor-critic (AC) algorithms are model-free deep reinforcement learning techniques that have consistently demon- strated their effectiveness across various domains, especially in addressing continuous control challenges. Enhancing exploration (action entropy) and exploitation (expected return) through more efficient sample utilization is pivotal in AC algorithms. The fundamental strategy of a learning algorithm is to intelligently navigate the environment’s state space, prioritizing the explo- ration of rarely visited states over frequently encountered ones. In alignment with this strategy, we propose an innovative approach to bolster exploration by employing an intrinsic reward based on a state’s novelty and the potential benefits of exploring that state, which we term plausible novelty. Our approach is designed for seamless integration into off-policy AC algorithms. Through incentivized exploration of plausibly novel states, an AC algo- rithm can substantially enhance its sample efficiency and overall training performance. The new approach is verified through extensive simulations across various continuous control tasks within MuJoCo environments, utilizing a range of prominent off-policy AC algorithmsIncentivizing Plausible Novel States: An Exploration Boosting Approach for Actor Critic Algorithms
Modelling PV Module Lightning-Induced Response: The Oversimplified, the Overestimated, and the Overlooked
Authors: Coetzer Kurt , Smit Hermé , Wiid Pieter Gideon , Rix Arnold
Published: December 2023

This study presents a simulated analysis of the response of a photovoltaic (PV) module to a single indirect lightning stroke. It does so by separately passing positive and negative 20 kA, 8/20 µs lightning current waveforms through a wire in space, located 1 m from the centre of a vertically-orientated PV module, and monitoring the voltages and currents at the PV module output terminals. Typically, literature uses an unvalidated, wire-based equivalent model for this purpose. Recent research has demonstrated the substantial shortcomings of such a wire-based equivalent model when viewed from the following three perspectives: differential mode impedance, internal coupling, and differential mode radiation. What sets this study apart is that it consolidates the novel advances made in multiple recent PV-orientated studies, all of which are centred around the high-frequency modelling of PV modules. These advances include improved three-dimensional structures which are coupled to nonlinear circuits using a hybrid simulation approach. These measurement-validated novel hybrid models have been shown to produce results which are substantially more accurate than the wire-based equivalent models when examined from the three aforementioned perspectives. This study progressively implements these models, demonstrating the absolute necessity of properly incorporating each aspect. Wire-based equivalent models are shown to produce overestimated levels of induced voltage and current. Furthermore, the use of linearised circuits to represent the inherently nonlinear operation of PV cells - a practice prevalent in such research - is demonstrated to be an oversimplified approach. Finally, the importance of considering the behaviour of the often-omitted, and therefore overlooked, bypass diodes is emphasised. 
Cyber Intrusion detection in Industry 4.0 Data using Machine Learning
Authors: Hossain Md Ismail , Khatun Kakoli , Ahmed Imtiaz
Published: December 2023

Industry 4.0, also known as the Fourth Industrial Revolution, is characterized by the incorporation of advanced manufacturing technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and automation. With the increasing adoption of Industry 4.0 technologies, it becomes crucial to implement effective security measures to safeguard these systems from cyber attacks. The development of intrusion detection systems (IDS) that can detect and respond to cyber threats in real-time is crucial for securing Industry 4.0 systems. This research topic seeks to investigate the various techniques and methodologies employed in developing IDS for Industry 4.0 systems, with a particular concentration on identifying the most effective solutions for protecting these systems from cyber attacks. In this study, we compared supervised and unsupervised intrusion detection algorithms. We utilized data collected from heterogeneous sources, including Telemetry datasets of IoT and The industrial Internet of things (IIoT) sensors, Operating systems (OS) datasets of Windows 7 and 10, as well as Ubuntu 14 and 18 TLS and Network traffic datasets simulated by the School of Engineering and Information Technology (SEIT), UNSW Canberra @ the Australian Defence Force Academy (ADFA). The preliminary results of IDS accuracy are extremely encouraging on the selected data for this study (Windows OS and Ubuntu OS), which motivates the continuance of this line of inquiry using a variety of other data sources to formulate a general recommendation of IDS for Industry 4.0.
MODEL POGIL DENGAN MIND MAPPING: DAMPAK TERHADAP PENALARAN ANALOGI DAN BERPIKIR KRITIS MATEMATIS
Authors: Wibowo Rama Angger
Published: December 2023

Dalam pelajaran matematika peserta didik hendaknya harus mampu kemampuan dalam penalaran analogi dan kemampuan berpikir kritis. Namun, pada kenyataannya masih banyak peserta didik yang relatif belum menguasai kemampuan tersebut. Tujuan dilakukuannya penelitian ini guna mengetahui apakah terdapat dampak model POGIL dengan mind mapping terhadap penalaran analogi dan kemampuan berpikir kritis matematis peserta didik. Seluruh peserta didik kelas XI IPA SMA Terpadu Pondok Pesantren Nurul Huda merupakan populasi dalam penelitian ini. Pengambilan sampel pada penelitian ini menggunakan Cluster Random Sampling. Sampel penelitian terdiri dari tiga kelas yaitu kelas eksperimen 1 menggunakan perlakuan model POGIL dengan mind mapping, kelas eksperimen 2 menggunakan perlakuan model POGIL, dan kelas kontrol menggunakan perlakuan model pembelajaran ekspositori. Metode pada penelitian ini menggunakan kuantitatif dengan jenis penelitian Quasy Eksperiment Design. Pengambilan data penelitian ini menggunakan instrumen berbentuk uraian tes untuk mengukur penalaran analogi dan kemampuan berpikir kritis matematis peserta didik.  Teknik analisis data yang digunakan dalam penelitian ini Multivariate Analysis of Varians (MANOVA) dengan taraf signifikansi 5% dengan berbantu aplikasi SPSS. Hasil dari penelitian ini didapat nilai signifikansi kurang dari 5% yakni sebesar 0,000 sehingga dapat disimpulkan bahwa terdapat dampak model pembelajaran POGIL dengan mind mapping terhadap penalaran analogi dan kemampuan berpikir kritis matematis peserta didik.
المصاحبة اللغوية وعلاقتها بالظواهر اللغوية
Authors: الوس مناف , ناعور عبد علي
Published: December 2023

تعدّ المصاحبة اللغوية من القضايا اللغوية الحديثة التي اقترنت بالمدرسة السياقية وأخذ البحث فيها مديات واسعة لارتباطها الوثيق بالاستعمال اللغوي، وكان لها أثر كبير في نظرية الحقول الدلالية وبناء المعجمات ومعيارًا عند باحثين أخر في تحديد صحة الدلالة المعجمية، وقام اللغويون العرب المحدثون بنقلها وترجمتها، وحاولوا تأصيلها تراثيًا من خلال البحث عن أصولها في البحث اللغوي القديم.

       ارتبطت هذه الظاهرة أيضا بعلاقات مع ظواهر لغوية أخرى شغلت الدرس اللغوي العربي، وجاء هذا البحث ليشير إشارة موجزة إلى ارتباط المصاحبة ودورها الكبير في تحديد هذه الظواهر والكشف عنها دلاليًا، ومن هذه الظواهر التي سيتناولها البحث (التضاد والاشتراك اللفظي والترادف والاتباع).
الاثار الاجتماعية والاقتصادية والسياسية للمخدرات على سكان محافظة القادسية
Authors: حسن ايمان , كاظم ظلال
Published: December 2023

تعد ظاهرة انتشار المخدرات من الظواهر الأكثر تعقيداً وخطورة على الإنسان والمجتمع، وتعد هذه الظاهرة إحدى مشكلات، العصر ، وتكمن خطورة هذه الظاهرة في كونها تؤثر سلبا على الطاقة البشرية في المجتمع بصورة مباشرة وغير مباشرة، وبصفة خاصة الشباب من الجنسين، وتؤثر على موارد الثروة الطبيعية والبشرية مما يعرقل أي جهود لاسيما التنمية الشاملة في المجتمع. وعليه فأن مشكلة تعاطي المخدرات وإدمانها من أكثر المشاكل تعقيدا، التي تعكس الابعاد المكانية للظاهرة واثارها الاقتصادية والسياسية والاجتماعية وما يمثله عامل الموقع من عنصر قوة يدعم الدولة في القضاء على الظاهرة وتفاقمها مستقبلا ، كما تهدف الدراسة الى ابراز حجم ظاهرة المخدرات وتوزيعها زمانيا ومكانيا للمدة ( 2015 – 2020 ) في محافظة القادسية وحسب الوحدات الادارية والنواحي ومراكز الاقضية البالغ عددها 15 وحدة ادارية.
الصلة بين الفلسفة ورأي المعتزلة من المتكلمين في مسألة الفعل الانساني
Authors: كريم مسلم , نائل نظلة
Published: December 2023

يتناول هذا البحث قضية , الفعل الانساني بين الفلسفة وعلم الكلام والتي تعتبر هذه محور الدراسات الانسانية , بوصف الانسان جوهر الوجود ,فبينا مدى الصلة بين الفلسفة وعلم الكلام في هذه المسألة المهمة , والتي تتعلق بعقيدة العدل الإلهي ومدى الحرية الممنوحة للانسان في القيام بأفعاله والتي لطالما ارقت المسلمين ومنها قضية الاختيار والجبر , فكثرة فيها الجدال بين المتكلمين و الفلاسفة فكلاَ وضع لها شروط و قواعد حتى يتحقق هذا الفعل الانساني , وعلى ضوءها يكلف العبد للقيام بالأوامر التعبدية و اعطاء للعقل مساحة واسعة في الشرع , فالمتكلمون أقروا بحرية الفعل , ولكن بشروط و قسموا الافعال الى اختيارية وافعال أضطرارية , فمعمر بن عباد السِّلمي مثلاً قد مزج بين الفعلين , وابراهيم بن سيار النظام قد ذهب الى القول بخاطر الطاعة وخاطر المعصي و وهما خلقها الله تعالى داخل الانسان ايضاً قد عالجوا هذه المسألة , وهم اقرب الى المتكلمين المعتزلة والتأثر والتأثير فيم بينهم واضحاً أمثال ابو يوسف يعقوب الكندي , وأبو نصر محمد الفارابي
مفهوم النظام الفدرالي والنظم المشابه له
Authors: خزعل حنين , العنبر إياد
Published: December 2023

يتم تقسيم الدول من ناحية الشكل الدستوري الى دول بسيطة هي التي تتركز فيها السلطة بيد الحكومة الاتحادية مع إعطاء اختصاصات محددة تكون ذات طابع اداري الى الوحدات المكونة للدولة الفدرالية, فضلا عن وجود رقابة مركزية من قبل الحكومة الاتحادية في العاصمة, والشكل الثاني من الدول هي الدول المركبة المتكونة من اتحاد مجموعة دول, اتحدت هذه الدو لتحقيق اهداف مشتركة, ويكون توزيع السلطات فيها حسب طبيعة ونوع الاتحاد الرابط بين هذه الدول.

 فيتم تقسيم الدول المركبة الى الى الاتحاد الشخصي والاتحادي الحقيقي, والاتحاد الكونفدرالي , والاتحاد الفدرالي الذي يعتبر من افضل انواع الاتحادات لان النظام السياسي في هذا الاتحاد يكون واحد وعلم واحد للدولة,ويتم توزيع الاختصاصات فية بين الحكومة الاتحادية والوحدات المكونة للاتحاد الفدرالي سواء كانت (ولايات ,اقاليم), وفي العادة تلجأ الدول الى الاتحاد في بسبب خطر يهدد بقائها اذا بقيت منفردة وحدها, او يكون هناك عناصر مشتركة بين مواطنين هذه الدول مما يولد دافع لها في تندمج بدولة واحدة, كذلم فأن احسن الحلول للدول التي تعاني من التعدد اللغوي والاثني هو الاتحاد الفدرالي, كون هذا النظام سيحقق للدول الداخلة في الاتحاد تقدما كبيرا لن تستطيع ان تحققه لو بقيت لوحدها.
حياة الشيخ آقا بزرك الطهراني في سامراء ودراسة في كتابه " هدية الرازي الى المجدد الشيرازي "
Authors: محمد امجد
Published: December 2023

قضى الشيخ آقا بزرك الطهراني في سامراء ألمع فترات حياته الحافلة بالمنجزات العلمية، إذ صرف فيها جل اهتمامه في البحث والتصنيف والمساعي العلمية الأخرى، وكان من بين ابرز ثمارها موسوعتيه الخالدتين " الذريعة الى تصانيف الشيعة" و " طبقات أعلام الشيعة" من بين أحد عشر أثراً مهماً رفد بها المكتبة الإسلامية في الكثير من الاختصاصات العلمية.

 حاولت هذه الدراسة تسليط الضوء على أثر مهم من آثار الشيخ الطهراني، الا وهو كتاب " هدية الرازي الى المجدد الشيرازي" من خلال عرض منهجه وتحليل مضمونه، بشيء من التفصيل، ومقابلته مع نظيراته من كتب الشيخ للوقوف على حالات التشابه والاختلاف وتسطير نوادر النكات العلمية التي بذل فيها الشيخ ردحا من الزمن وجهدا وفيرا. فعقدت دراسة مقارنة موجزة للكتب الثلاث " هدية الرازي الى المجدد الشيرازي..." و " طبقات اعلام الشيعة.. “ و" مصفى المقال في مصنفي علم الرجال...." والتي عرضت فيها تراجم وافية لأعلام وفضلاء من قرون شتى، بلحاظ منهجية الشيخ بنحو من الاستدلال المنطقي والاستقصاء التاريخي وابراز طبيعة العلاقة بين الكتب الثلاثة من حيثية العموم والخصوص ومن حيثية الاصل والتفريع. وخلصنا فيها الى استنتاجات مهمة، كضبط مدة تأليف كتاب " هدية الرازي...." ومعالجة كافة الاحتمالات الممكنة لدفع دعوى اتساع مدة تأليفه لخمسين سنة. وكشفت الدراسة ايضاً عن تنوع نشاط الشيخ الطهراني في سامراء، بين التدريس وانجاز التكاليف الإدارية من تجديد المدرسة الشيرازية وتأسيس مكتبتها. وغير ذلك من النتائج كدراسة مبررات قلة الدارسين على الشيخ الطهراني في مباحث الفقه والأصول على الرغم من احاطته العلمية بمطالب التدريس الحوزوية.
Experiências Sustentáveis para o Parque Estadual do Pico Alto, Guaramiranga
Authors: Braga Francisco Laercio Pereira , Macêdo Maria Soraya , Lima Thiago Rodrigues Sousa , Marques José Matheus da Rocha , Gorayeb Adryane , Santos Jader de Oliveira
Published: December 2023

Este artigo objetivou analisar ações sustentáveis a serem implantadas no Parque Estadual do Pico Alto, município de Guaramiranga – Ceará. A metodologia utilizou da organização de dados espaciais secundários dos tipos vetoriais e rasters com uso de Sistema de Informações Geográficas (SIG), dados do Shuttle Radar Topography Mission (SRTM), e de coleta de informações sobre aspectos físicos, bióticos e socioeconômicos. Este estudo destacou Guaramiranga como parte fundamental do Maciço de Baturité, desencadeando em biodiversidade alta e singular. No que diz respeito aos principais insights, o meio biótico local é propício para o desenvolvimento de estudos etnobotânicos e de atividades para estimular o  desenvolvimento do turismo sustentável. Conclui-se anecessidade de estratégias de sustentabilidade para a UC de forma a obter solidez dos instrumentos de gestão que direcionem o desenvolvimento de atividades em acordo com as potencialidades e limitações que impactam no desenvolvimento regional e da UC.
A Normativa Curricular Nacional de Geografia e a Investigação, na Escola, de Processos Inerentes às Situações Geográficas
Authors: Leite Alvarenga Botelho Lucio Antonio , Valadão Roberto Célio
Published: December 2023

Este artigo apresenta e discute a problemática referente ao ensino sistêmico de Geografia na escola, com ênfase na relevância da investigação de uma dada situaçãogeográfica. Para tanto, utiliza-se de aporte teórico-metodológico desenvolvido pela ciência educacional referente ao pensamento espacial e ao raciocínio geográfico, buscando suas diferenças e convergências. A análise da atual normativa nacional, aqui metodologicamente conduzida segundo os princípios da Grounded Theory, indica que o currículobrasileiro de Geografia, ao apontar a situação geográfica como recurso metodológico, alinha-se ao ensino-aprendizagem fundamentado no espaço relacional e no desenvolvimento de uma Geografia sistêmica. No entanto, essa normativa curricular carece, ainda, de maiores investimentos destinados a esclarecer aspectos obscuros que, uma vez mais bem explicitados, poderiam fomentar, na escola, uma prática pedagógica bem-sucedidacapaz de promover um giro pedagógico que distancie o ensino de Geografia de seu até então marcante caráter mnemônico e enciclopédico.
Gestão Ambiental de Vazamentos de Óleo no Mar Territorial Brasileiro e o Uso do Sensoriamento Remoto
Authors: De Moura Nájla Vilar Aires , De Carvalho Júnior Osmar Abílio
Published: December 2023

: O gerenciamento de desastres causados por vazamentos de óleo no Brasil tem como alicerce a Lei nº 9.966/2000. No entanto, o seu atendimento representa um desafio para o poder público, que demonstrou dificuldades no atendimento à referida lei ao longo dos últimos anos. O presente artigo contempla os instrumentos jurídicos e osprogramas de Estado utilizados para auxiliar na tomada de decisão durante a ocorrência de acidentes, considerando como referência os três principais eventos ocorridos nasúltimas duas décadas no Brasil, a saber: a ruptura de duto na Baía da Guanabara (2000), o vazamento de petróleo no Campo de Frade (2011) e a poluição por óleo, de origemindeterminada, nas praias do Nordeste (2019/2020). O monitoramento desses eventos, com o uso de sensoriamento remoto, é discutido, a partir da escassa produção científica disponível, o que evidencia a necessidade de estímulo à pesquisa e ao desenvolvimentode projetos que possam subsidiar a ação do Estado durante os acidentes.
Juliana Guerrero. Música y humor en la obra de Les Luthiers || Héctor Olivos. Prometeo: el fuego insumiso
Authors: Guerra Rojas Cristián , Murillo Rincón Yair Alfonso
Published: December 2023

Juliana Guerrero. Música y humor en la obra de Les Luthiers. Santa Fe: Ediciones UNL, 2021, 280 páginas.
Héctor Olivos. Prometeo: el fuego insumiso. Madrid: Prisa Noticias Colecciones y EMSE EDAPP, S.L., 2020, 125 páginas.
IMPLANTE EM ÁREA ESTÉTICA COM ENXERTO DE TECIDO CONJUNTIVO
Authors: Silva Thayná Silva Sousa de Oliveira , Cristina Thais Cristina da Silva , Cossatis João José Cossatis
Published: December 2023

A composição do sorriso está diretamente relacionada à autoestima do paciente, diante disso, a terapia implantar atual busca equilibrar as funções orais, harmonizando as estéticas branca e rosa e conferindo reabilitação integral do sorriso. Sendo assim, é possível atuar na implantodontia em conjunto com a periodontia de modo a corrigir defeitos gengivais por meio das cirurgias de enxerto de tecido conjuntivo autógeno. O presente trabalho visa elucidar as diferentes técnicas de enxertia, bem como demonstrar os comparativos entre enxertos autógenos e alógenos. O domínio deste assunto possibilita ao cirurgião-dentista o planejamento e execução correta para cada caso, garantindo um resultado promissor e satisfação do paciente.
ROTAÇÃO DE MOLARES COM O USO DA BARRA TRANSPALATINA
Authors: Ferreira Antônio Fabricio Alves , Monteiro Vinicius Ribeiro , Pereira Katia Caetana , Segundo Cícero Francismary Almeida Alves Feitoza , Silva Laura Santos da , Ferraz Mardel do Nascimento , Ferraz Kethelyn Gonzaga , Rodrigues Bhenazyr Nunes , Moura José Allysson , Sanntana Monyele Lorranne Grangeiro de , Cruz Leydianne de Mello , Neto João Pereira Fontenele
Published: December 2023

Um dos elementos amplamente utilizados na especialidade ortodôntica é a barra transpalatina (BTP) que se trata de um dispositivo fixo que contorna o palato e une os primeiros molares de um lado ao outro da arcada dentária superior. A BTP pode ser utilizada em diversas situações clínicas da mecânica ortodôntica, devido às suas características como, fácil construção, possibilidade de controle tridimensional e capacidade de resolução de casos clínicos, como por exemplo sua excelente capacidade de correção da rotação de molares. O objetivo deste trabalho é apresentar por meio de um relato de caso clinico a eficiência do uso da barra transpalatina para correção da giroversão de molares. No presente relato de caso clínico pode-se concluir que a BTP, é eficiente e de fácil confecção, sendo, portanto, indicada para correção de giroversões de molares superiores.
COMPLICATIONS AND SOLUTION SUGGESTIONS BEFORE AND AFTER TREATMENT IN DENTAL IMPLANOLOGY
Authors: Gungor Murat
Published: December 2023

Dental implants have revolutionized the field of restorative dentistry, providing patients with a reliable and aesthetically pleasing solution for missing teeth. However, the success of dental implant therapy is contingent upon the meticulous planning, precise execution, and comprehensive post-operative care. Despite advancements in implant technology and surgical techniques, complications can arise, jeopardizing the overall outcome of the treatment. Various complications associated with dental implants, encompassing both early and late post-operative issues have been reported. Early complications, such as infection, implant malposition, and nerve injuries, are often related to the surgical phase, whereas late complications, including peri-implantitis, implant fracture, and prosthesis-related problems, manifest in the long-term post-operative period. Moreover, this review delves into the etiological factors, clinical manifestations, diagnostic approaches, and management strategies for each complication. Additionally, the article explores recent developments in implant surface modifications, biomaterials, and surgical techniques aimed at minimizing these complications. A thorough understanding of these complications is crucial for dental practitioners to enhance patient outcomes, improve the longevity of dental implants, and ensure patient satisfaction.
Edukasi Terapi Butterfly Hug untuk Menurunkan Masalah Psikososial: Ansietas pada Masyarakat di Wilayah Kerja Puskesmas Tamalanrea Jaya Kota Makassar
Authors: Harisa Akbar , Muhinra Suci Ahliyatul , Fitri Andi Zafirah , Hidayah Miftahul , Ramadhani NB Rezky Awalya , Hikmah D Nur , Rosyidi Bulkis , Yodang Yodang
Published: December 2023

Anxiety is a condition that needs attention. Excessive worry about activities or events that take place almost every day, for 6 months or more is a frequent psychosocial problem, generally in adolescence to adulthood. Anxiety can be caused by various internal and external factors such as family history, history of trauma. Some people do not know how to deal with the anxiety they experience. For this reason, we from Hasanuddin University Nurse Profession Students, are trying to hold counseling regarding how to deal with anxiety with butterfly hug therapy in the work area of the Tamalanrea Jaya Makassar Health Center. This activity aims to increase public knowledge in dealing with anxiety experienced. The method used is a demonstration using leaflets and banners as reading material that can add to the public's insight regarding anxiety and butterfly hug relaxation technique. The results achieved from this counseling activity are that the community understands, understands, and can explain correctly related to psychosocial problems, namely anxiety and how to handle them with the butterfly hug relaxation technique
PI NETWORK : A REVOLUTION
Authors: Issalh Raja , Gupta Amandeep , Gupta Mandeep
Published: December 2023

Pi Network is a cryptocurrency project that stands out for its innovative approach to mining and accessibility. Launched in 2019, the platform allows users to mine its native digital currency, Pi, directly from their mobile devices, aiming to democratize the mining process and make cryptocurrency participation more inclusive. Notably, Pi Network utilizes the Stellar Consensus Protocol for its blockchain, emphasizing a balance between security, decentralization, and transaction speed. Positioned in its early development stages, Pi Network places a strong emphasis on community engagement, encouraging users to actively participate and contribute to the project. It is essential for users and enthusiasts to stay informed about updates and changes in the Pi Network ecosystem, as the cryptocurrency space is dynamic and subject to evolution. Additionally, users should consider the regulatory landscape and associated risks inherent in participating in a cryptocurrency project during its early stages.
Unpacking the Impact of Bitcoin Halving on the Crypto Market: Benefits and Limitations
Authors: Singla Arun , Singla Meenu , Gupta Mandeep
Published: December 2023

Bitcoin halving events have become pivotal moments in the cryptocurrency market, generating widespread anticipation and speculation among investors, miners, and enthusiasts. Understanding the impact of these halving events requires a nuanced examination of their effects on supply dynamics, market sentiment, and the broader crypto ecosystem.  Bitcoin halving events, while not directly affecting NFTs (Non-Fungible Tokens) and the metaverse, can have a notable impact on these ecosystems through interconnected market dynamics and investor sentiment. The relationship between Bitcoin, as the flagship cryptocurrency, and the broader crypto market often influences trends in specific sectors, including NFTs and the metaverse. As Bitcoin undergoes halving, the reduction in block rewards tends to generate heightened interest and speculation in the cryptocurrency space. This positive sentiment can create a favorable environment for various crypto assets, including those within the NFT and metaverse realms. Present research has focused on all these aspects.
O IMPACTO NA QUALIDADE DE VIDA DE PACIENTES SUMETIDOS A GASTRECTOMIA COMO TRATAMENTO DE CÂNCER GÁSTRICO: UMA REVISÃO INTEGRATIVA
Authors: Santos Jade Karine Freitas dos , Silva Mateus Silva , Teixera Renato da Costa
Published: December 2023

Introdução: O câncer gástrico possui origem multifatorial e é caracterizado pela desordenada multiplicação de células da parede do órgão. A pessoa acometida por esta doença tem uma diminuição de sua qualidade de vida e funcionalidade tanto pela doença quanto pelo tratamento imposto. Para o tratamento do câncer gástrico um dos principais meios de tratamento é a gastrectomia. Assim, tal mecanismo de tratamento gera repercussões e impactos diretos na qualidade de vida dos pacientes submetidos a tal método. Objetivos: Buscar na literatura estudos que apontem o impacto da gastrectomia na qualidade de vida de pacientes com câncer gástrico. Métodos: Trata-se de uma revisão integrativa, de estudos publicados no período de janeiro de 2018 a fevereiro de 2023 nos idiomas português e inglês, em 4 bases de dados: PubMed, PEDRO, Scientific Electronic Library Online (SCIELO) e Biblioteca Virtual de Saúde (BVS), usando como estratégia de busca os descritores Gastrectomia, Qualidade de Vida e Neoplasia Gástrica. Resultados: Foram encontrados um total de 2334 artigos na pesquisa eletrônica. No entanto, somente 15 artigos foram incluídos ao trabalho levando-se em consideração os critérios de elegibilidade. Conclusão: Com base nos dados obtidos conclui-se que a QV apresenta um declínio em diversas funções e sintomas após o procedimento de gastrectomia
Upaya Mengembalikan Produktivitas Dakwah dan Semangat Belajar Muslimah Lombok Timur di Akhir Pandemi Covid-19
Authors: Sri Ujiana Putri
Published: December 2023

Islam makes da'wah an obligation because by means of da'wah, Islam can reach people across generations and across eras. The aim of this research is to find out the productivity of Muslim women's da'wah and enthusiasm for learning at the end of the pandemic, especially in East Lombok. This research is qualitative research with a sociological approach. The research results show that the pandemic which lasted almost two years did not reduce the enthusiasm of students to carry out their work programs offline. This is also supported by the enthusiasm and enthusiasm of Muslim women and children in East Lombok to take part in activities held by STIBA Makassar KKN students. The work programs implemented include kindergarten teaching, TPA teaching, social service, Tablig Akbar specifically for Muslim women and the Pious Children's Festival.