Neurologists' perspectives on management challenges and mitigation strategies for Parkinson's disease patients: A qualitative study in Iraq. by Mena Khalid Ibrahim, Samer Imad Mohammed, Gheyath Abd Ali Shallal Al-Gawwam

“…<h4>Conclusion</h4>Addressing these challenges requires policy-driven reforms, enhanced regulatory oversight and the integration of multidisciplinary care frameworks to optimize the management of individuals with PD. Strengthening patient education and professional training programs could further raise public awareness and improve care quality. …”
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MMC Based Super Capacitor and Battery Hybrid Energy Storage System and Hybrid Synchronous Control Strategy by Yu CAO, Pengfei HU, Wanqi CAI, Xi WANG, Daozhuo JIANG, Yiqiao LIANG

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PENDAMPINGAN STRATEGI PEMASARAN DIGITAL UNTUK MENINGKATKAN DAYA SAING UMKM BATIK DI DUSUN PIJENAN by Muhammad Sigit Darmawan, Aulia Rahma Kusumaningtyas, Naufal al-Haq, Nisrina Indy Saqifa, Nafa Elifah Khairunnisa, Dani Darmawan, R. Rully Mahendra, Dimas Alfandi, Fahmi Muharomi Dzikri, Adi Putra, Nadiva Freya Danella, Gunawan Budi Susilo

“…Therefore, a digital marketing training and mentoring program has been designed to assist batik MSMEs in Dusun Pijenan in optimizing digital technology to enhance market potential and competitiveness. …”
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Errors in the diagnosis of types of diabetes mellitus: causes and prevention strategies (literature review and own research results) by K.I. Gerush, N.V. Pashkovska, O.Z. Ukrainets

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Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification by Hyunju Lee, Jin Young Kwak, Eunjung Lee

“…Abstract In this study, we propose a novel approach to enhancing transfer learning by optimizing data selection through deep learning techniques and corresponding innovative learning strategies. …”
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Challenges facing the implementation of quality control by radiographers in Tanzania by Wilson Maliyatabu Ngoye, Jenny Motto, Wilbroad Edward Muhogora

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Adaptations of bite force and masseter muscle thickness to high-intensity physical training in professional athletes: a comparative cross-sectional study by Kyu-Lim Lee, Jun-Young Sung, Soo-Bin Kim, Hee-Jin Kim

“…The results underscore the need for individualized strategies to optimize performance and prevent occlusal imbalances in athletes engaged in intense training.…”
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Individualizing Strength Training Using the Vertical Force-Velocity Profile in Vertical Jumping and its Effect on Athletic Performance: A Systematic Review by Sergio Lopez-Betancourt, Camilo García-Torres, Daniel Alejandro López-Galvis, Juan Manuel Monsalve, Andres Rojas-Jaramillo

“…The individualization of strength training represents a promising strategy for enhancing performance in high-speed actions, such as jumping and sprinting. …”
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Breaking the paradigm: Optimized Case Finding multiplies tuberculosis detection among key populations in Ukraine by Liliia Masiuk, Olga Denisiuk, Evgenia Geliukh, Zahedul Islam, Garry Aslanyan, Rony Zachariah

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Interactive Effects of Rootstock and Training System on Photosynthesis, Biochemical Responses, and Yield in <i>Vitis labrusca</i> Under Subtropical Climate Conditions by Francisco José Domingues Neto, Marco Antonio Tecchio, Adilson Pimentel Junior, Harleson Sidney Almeida Monteiro, Mara Fernandes Moura-Furlan, José Luiz Hernandes, Elizabeth Orika Ono, Giuseppina Pace Pereira Lima, João Domingos Rodrigues

“…These results highlight that selecting suitable rootstock and training system combinations can optimize physiological efficiency and yield, representing an effective adaptation strategy for viticulture under subtropical conditions.…”
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Training systems affect spatial distribution of Korla fragrant pear (Pyrus sinkiangensis Yu) fruits by altering canopy structure and light distribution by Pan Yan, Yonghui Deng, Shi-jie An, Ling Ma, Tianle Li, Qi-ling Chen, Qiangqing Zheng

“…ObjectiveThis study aims to elucidate the relationship between canopy structure and fruit spatial distribution, establish a model linking canopy light distribution with fruit positioning, and identify optimal training strategies for consistently high yield. …”
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Financial fraud detection using a hybrid deep belief network and quantum optimization approach by Gui Yu, Zhenlin Luo

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Distribution of Remaining Oil and Enhanced Oil Recovery Strategy for Carboniferous Buried-Hill Reservoirs in Junggar Basin by Qijun Lv, Zhaowen Shi, Linsong Cheng, Chunjing Zan

“…To more reasonably study the reservoir development process and establish an optimal development plan, a machine learning model for fracture density was trained using imaging logging interpretation results and conventional logging curve data. …”
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PAIReD jet: A multi-pronged resonance tagging strategy across all Lorentz boosts by Spandan Mondal, Gaetano Barone, Alexander Schmidt

“…We demonstrate that this approach achieves higher efficiencies in the reconstruction of signal events containing heavy-flavor jets compared to other event reconstruction strategies at all Lorentz boost regimes. Classifiers trained on PAIReD jets also have significantly better background rejections compared to those based on traditional event reconstruction approaches using small-radius jets at low Lorentz boost regimes. …”
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A Study on Electro-dynamic Brake Control Strategy of Hydrogen-powered Autonomous-rail Rapid Tram by LUO Xiaofeng, XIAO Lei, PENG Jing, FU Jianchao, WANG Hao, HUANG Dayang, LU Jun

“…The test results show that with this electro-dynamic braking control strategy, the train fully exploits its electro-dynamic braking capacity under medium-low gear placement and medium-low speed working conditions in AW0 circumstances. …”
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Grid connected improved sepic converter with intelligent mppt strategy for energy storage system in railway applications by Suresh vendoti, A. Hema Sekhar, A. V. Bharadwaja, Bapayya Naidu Kommula, Rayala Sateesh, S. Prabhakar, M. Arunkumar, Cui Yaping

“…The proposed system enhances power conversion efficiency and stability by integrating an optimized SEPIC topology with an adaptive MPPT algorithm. …”
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STAR-SNR: spatial–temporal adaptive regulation and SNR optimization for few-shot video generation by Xian Yu, Jianxun Zhang, Siran Tian, Hongyu Yi

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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Notably, CSMCR reduced training time by 53% compared to conventional oversampling techniques. …”
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Hybrid enhanced particle swarm optimization for VTOL UAV sliding mode controller: A methodological by Zhong Wei Liu, Si Bo Huang, Tian Yu Zhang, He Wang

“…HEPSO integrates adaptive inertia weights (AIW), unified factor enhancement (UFE), and global optimal particle training (GOPT), enhancing its performance. …”
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Analysis of drug crystallization by evaluation of pharmaceutical solubility in various solvents by optimization of artificial intelligence models by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

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