The Effectiveness of Fiscal Decentralization in Alleviating Poverty from An Sharia Economic Perspective in Kebumen, Indonesia by Muyassarah Muyassarah, Abdul Ghofur, Ali Mutadho, Maizatul Saadiah binti Mohamad, Mansur Mansur

“…This research uses a qualitative approach, secondary data from the 2019-2021 APBD, and interviews by looking at the economic formula, efficiency, and effectiveness, as well as the independence of regional financial management and analysis techniques with an Islamic economic approach.Kebumen's financial management has not been able to reduce the poverty rate because of its low self-support because it still needs a budget injection from the province/central. …”
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Road design influence on driving behaviors: The influence of curve design, a case study by Stefano Coropulis, Nicola Berloco, Paolo Intini, Vittorio Ranieri

“…The data were elaborated to investigate driving behavior in free-flow conditions. …”
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Stakeholder analysis of tobacco control policy in Iran: a qualitative study by Jalal Arabloo, Hamid Ravaghi, Sogand Tourani, Neda Kabiri, Mohammad Hajizadeh, Rahim Khodayari-zarnaq, Azita Pishgoo

“…This, in turn, leads to a reduction in the smoking rate and an improvement in public health in Iran.…”
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Graph Based Cooperative Forwarding in Information Centric Vehicular Networks by Beri Surya Samantha, Nitul Dutta, Rajesh Mahadeva, Shashikant P. Patole, Gheorghita Ghinea

“…The rise of data intensive applications reveal the limitations of IP-based networking, particularly in dynamic vehicular environment. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Using a large body of work, including 42 vertical wells, an extensive dataset was constructed and meticulously packed using processes such as feature selection and data manipulation. …”
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EMOTIVE SPEECH ACTS IN CROSS-CULTURAL COMMUNICATION: A COMPREHENSIVE ANALYSIS AND EXPERIMENTAL STUDY by Kenul E. Abdurehmanova

“…In the course of the research, data analysis methods were applied (acoustic analysis, facial expression analysis using the Facial Action Coding System (FACS), lexical analysis, correlational and regression analysis). …”
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Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma by Xiang Xiong, Wen Liu, Chuan Yao

“…BackgroundLung cancer has the highest mortality rate among all cancers worldwide. Alkaliptosis is characterized by a pH-dependent form of regulated cell death. …”
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Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines by Yaoshan Bi, Jiwen Wu, Xiaorong Zhai, Shuhao Shen, Libin Tang, Kai Huang, Dawei Zhang

“…To improve model accuracy and predictive ability, hierarchical clustering analysis method was used to eliminate seven unqualified water samples to reduce the errors caused by improper data. PCA and PLS-DA methods were used to analyze and process the remaining water sample data, and on the basis of PCA analysis, the remaining 38 water samples were used to establish the PLS-DA discriminant model. …”
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Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis by Christoph Neu, Manuela Wuelling, Christoph Waterkamp, Daniel Hoffmann, Andrea Vortkamp

“…Conclusions Our results emphasize the importance of a relative analysis of complex epigenetic data to identify chromatin state transitions associated with cell lineage progression. …”
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Construction and application of a digital twin model for multi-objectiveoptimization of intelligent tape conveyor system by Wei CHEN, Jingzhao LI, Qing SHI, Jichao LIU, Huashun LI

“…In this conceptual model, an Online Sequential Extreme Learning Machine (OS-ELM) is applied within the virtual component to construct a near real-time model predicting sweeping force, using physical feedback data as input parameters. Within the physical counterpart, the sweep force in practice is computed by integrating mechanical models, intellectual and experiential knowledge from the engineering field, as well as operational data. …”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The increasing prevalence of cyber threats in wireless sensor networks (WSNs) necessitates adaptive and efficient security mechanisms to ensure robust data transmission while addressing resource constraints. …”
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The Relation between Fatigue Level and Nurses’ Caring Behavior in The Orthopedic Department by Yasmin F. M. AbdElazeem, Rasha F. Ahmed, Eman F. A. M. Aly

“…Two tools were used for data collection. Structured interview questionnaire; It consists of two parts. …”
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Implementasi QR Code Berbasis Android pada Sistem Presensi by Afif Priyambodo, Ledya Novamizanti, Koredianto Usman

“…Sistem encoder melakukan proses encode data berupa Nomor Induk Siswa Nasional (NISN) menjadi QR-Code menggunakan kode Bose, Chaudhuri, Hocquenghem (BCH). …”
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Energy-Efficient Aggressive Duty-Cycling of V-Band Power Amplifiers by Maximilian Gottfried Becker, Marco Gunia, Diego Mendez, Frank Ellinger

“…A thorough analysis of the duty-cycling characteristics in a wireless transmitter reveals the significance of fast and efficient switching, particularly if minimal latency is desired and if energy consumption should scale linearly with required data rate. To be able to assess power amplifiers in that regard, the related key characteristics as well as transient RF power measurements are discussed. …”
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Meta-analysis of nifedipine and enalapril combination therapy for hypertensive patients with coronary heart disease: A systematic review and meta-analysis by Kun Wang, Wenchao Ma, Leina Sun, Fangcheng Su

“…Methods: We employed a revised version of the Jadad scale to assess the quality of the research literature following a rigorous screening process. The statistical analysis was performed utilizing the software RevMan 5.4.1 for data analysis. …”
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Enhancing Retail Strategies Through Anomaly Detection in Association Rule Mining by Bijayini Mohanty, Santi Lata Champati, Swadhin Kumar Barisal

“…Our approach gives an 88% inconsistency management rate, which is a 36.67% improvement over the traditional approach. …”
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Improving preparation and luminescence properties of Eu and dy doped Sr2MgSi2O7 phosphors by adding excess silica by Chi Zhang, Liuming Wei, Qin Liu, Ruirui Cui, Chaoyong Deng, Jingyu Li

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Protein co-aggregates of dense core amyloid plaques and CSF differ in rapidly progressive Alzheimer’s disease and slower sporadic Alzheimer’s disease by Gurkan Bebek, Masaru Miyagi, Xinglong Wang, Brian S. Appleby, James B. Leverenz, Jagan A. Pillai

“…These results were validated against prior published proteomic CSF AD data with a faster rate of progression to identify the top 5 potential protein biomarkers of rapid progression in AD CSF. …”
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Biological characteristics of bream (Abramis brama Linnaeus, 1758) of the Kremenchuk Reservoir as an object of commercial fishery by N. Rudyk-Leuska, O. Buzevych, M. Leuskyi, I. Burjak

“…The primary material was selected and processed according to generally accepted methods in ichthyology. …”
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Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy. by Andres Portocarrero-Bonifaz, Salman Syed, Maxwell Kassel, Grant W McKenzie, Vishwa M Shah, Bryce M Forry, Jeremy T Gaskins, Keith T Sowards, Thulasi Babitha Avula, Adrianna Masters, Jose G Schneider, Scott R Silva

“…Advances in computation, algorithms, and data availability have popularized the use of machine learning to predict patient outcomes. …”
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