Influence of storage conditions on the quality of jerusalem artichoke by N. M. Mudrykh, S. A. Semakova

“…The issue of preserving Jerusalem artichoke tubers as a raw material source, a promising direction in the technology of functional products. …”
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Oral health knowledge, attitudes, behaviours and status among international post-secondary students: a scoping review by Hassan W. Yassin, Shahzaib Fida, Khrisha Alphonsus, Jessica Lieffers, Amrinderbir Singh

“…ObjectiveThis scoping review aims to review and synthesize existing literature on oral health knowledge, attitudes, behaviours, barriers, and status among international post-secondary students.MethodsUsing the Arksey and O'Malley framework, MEDLINE, Embase, Dentistry & Oral Sciences Source, CINAHL, Web of Science, and Scopus databases were searched in June 2024 for selected oral health and international student keywords. …”
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What is the direct cost of providing burn care at a burns unit in a tertiary care hospital in India? A health provider perspective by Frederick Satiro Vaz, Yuri Dias-Amborcar, Ritam Dessai, Archana Milind Desai, Sudeep Ramdas Lokapure

“…Microsoft Excel and Jamovi, an open-source program built on R, were used for statistical analysis. …”
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Development of the ADFICE_IT clinical decision support system to assist deprescribing of fall-risk increasing drugs: A user-centered design approach. by Sara S Groos, Kelly K de Wildt, Bob van de Loo, Annemiek J Linn, Stephanie Medlock, Kendrick M Shaw, Eric K Herman, Lotta J Seppala, Kim J Ploegmakers, Natasja M van Schoor, Julia C M van Weert, Nathalie van der Velde

“…Key elements for the software include a modular architecture, open source, and good security.<h4>Conclusion</h4>The ADFICE_IT CDSS supports physicians in deprescribing FRIDs optimally to prevent falls in older patients. …”
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Effects of coconut meal inclusion on growth performance, nutrient utilization, carcass characteristics, and meat quality in Awassi Lambs by Ja’far Al-Khaza’leh, Belal Obeidat

“…COC is a viable alternative protein and energy source in lamb diets. Further research is warranted to determine optimal inclusion rates under varying production systems.…”
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The dynamic equilibrium between population aging and the allocation of elderly medical care resources in the Yellow River Basin by Long Hai, Yanghao Cui, Jiawei Zhang, Rui Wang

“…The entropy method is employed to evaluate the elderly care and medical resource allocation in the provinces of the Yellow River Basin in 2020. …”
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Solar background radiation temperature calibration of a pure rotational Raman lidar by V. Jayaweera, R. J. Sica, G. Martucci, A. Haefele, A. Haefele

“…Furthermore, the technique works for temperature retrievals using both the optimal estimation method and the traditional temperature algorithms.…”
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Factors influencing breast milk donation to a human milk bank in Iran: implications for policymakers and planners by Leila Doshmangir, Maryam Naghshi, Kamal Gholipour, Ayat Ahmadi, Hosein Azizi, Vladimir Sergeevich Gordeev

“…Abstract Background The World Health Organization (WHO) actively promotes breastfeeding as the optimal source of nourishment for infants and young children. …”
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Prenatal weight stigma can affect relationship quality and maternal health outcomes by Taniya S. Nagpal, Angela C. Incollingo Rodriguez

“…Social support is a necessary psychosocial factor for optimal health and wellbeing throughout pregnancy, and weight stigma sourced from these integral relationships may negatively affect health outcomes. …”
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Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence by Siyang Liu, Nanliang Shan, Xianqiang Bao, Xinghua Xu

“…This architecture integrates federated learning for privacy protection, leverages the advantages of distributed model training, and utilizes edge computing’s near-source data processing capabilities. Additionally, this paper proposes a federated edge intelligence method (DSIA-FEI), which comprises two key components. …”
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Carotid Endarterectomy and Stenting of the Internal Carotid Artery in Patients with Occlusion of the Contralateral Carotid Artery by N. S. Gorshkov, V. E. Ryabukhin, A. S. Koblik, L. S. Kokov

“…We aimed to determine which approach is the optimal revascularization strategy for those patients.THE AIM OF STUDY To review the current scientific literature reflecting the outcomes of patients with CCO and to determine whether the presence of CCO plays a prognostic role in perioperative outcomes in patients undergoing carotid revascularization with endarterectomy or stenting.MATERIAL AND METHODS Literature sources from Pubmed and MEDLINE, Scopus and Cochrane information aggregators on this topic published in Russian and English between 2003 and 2023 were selected for analysis. …”
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Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn’s disease: a systematic review and meta-analysis by Yuling Bin, Rumei Peng, Yaqian Lee, Zhijie Lee, Yang Liu

“…Additionally, meta-regression and subgroup analyses were conducted to delve into the potential sources of heterogeneity.ResultsUltimately, eight studies encompassing 11 distinct AI models were included in this meta-analysis. …”
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Developing an Educational-career guidance Curriculum Framework in the Iran's Education system by Behrooz Rahimi, Rezvan Hakimzadeh, Mohammad Javadipour, Keyvan Salehi, Mohammad KHademi Koleh lou

“…In the first step, in order to identify and explain the elements and components of the educational-career guidance curriculum framework, using the systematic review method, 81 international study sources from among all the books, articles, research reports, reliable documents in the field of academic guidance curriculum between 20001- 2022 were selected as sample. …”
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GAN-based unsupervised domain adaptive person re-identification by Shengsheng ZHENG, Haibing YIN, Xiaofeng HUANG, Tianjie ZHANG

“…Aiming at the problem that the inaccurate clustering in the unsupervised domain adaptive pedestrian re-recognition results in low network recognition accuracy, an unsupervised domain adaptive pedestrian re-recognition method based on generative confrontation network was proposed.Firstly, the CNN model was optimized by using the batch normalization layer after the pooling layer, deleting a fully connected layer and adopting the Adam optimizer.Secondly, the cluster error was analyzed and the important parameter in the cluster was decided based on minimum error rate Bayesian decision theory.Finally, the generative adversarial network was utilized to adjust the cluster.These steps effectively improved the recognition accuracy of unsupervised domain adaptive person re-identification.In the case of the source domain Market-1501 and the target domain DukeMTMC-reID, experimental results show that mAP and Rank-1 can reach 53.7% and 71.6%, respectively.…”
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Integration of a novel Vernier-DSPM generator in a grid connected hybrid renewable energy system with battery storage by Abderrahmane Redouane, Rachid Saou, Youcef Belkhier, Amrane Oukaour

“…If there is a shortfall in power from any single source, the system is designed to balance this using the other sources. …”
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High-precision symbol timing algorithm for specific emitter identification by Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG

“…The existing symbol timing algorithms have the problems that the method of delay estimation is improper and the calculation precision of the interpolation is insufficient for the pretreatment of specific emitter identification.A high-precision symbol timing algorithm was proposed to solve these problems.Aiming at the former problem,a two-step estimation method was adopted,rough estimation of delay was firstly obtained by the forward algorithm,and then the accurate value was acquired through local search with the demodulated symbols.For the latter problem,a window-based approach was used to design an interpolating filter which could optimize the anti-aliasing characteristics and improve the calculation accuracy.Simulation results show that the proposed algorithm can effectively solve the above problems and achieve better recognition results in the radiation source recognition compared with the conventional symbol timing algorithm.…”
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High-precision symbol timing algorithm for specific emitter identification by Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG

“…The existing symbol timing algorithms have the problems that the method of delay estimation is improper and the calculation precision of the interpolation is insufficient for the pretreatment of specific emitter identification.A high-precision symbol timing algorithm was proposed to solve these problems.Aiming at the former problem,a two-step estimation method was adopted,rough estimation of delay was firstly obtained by the forward algorithm,and then the accurate value was acquired through local search with the demodulated symbols.For the latter problem,a window-based approach was used to design an interpolating filter which could optimize the anti-aliasing characteristics and improve the calculation accuracy.Simulation results show that the proposed algorithm can effectively solve the above problems and achieve better recognition results in the radiation source recognition compared with the conventional symbol timing algorithm.…”
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Mapping and interpretability of aftershock hazards using hybrid machine learning algorithms by Bo Liu, Haijia Wen, Mingrui Di, Junhao Huang, Mingyong Liao, Jingyuan Yu, Yutao Xiang

“…This research provides new tools and methods for enhancing aftershock warning and response.…”
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Enzymatic Hydrolysis of Pretreated Miscanthus Biomass by Olga B. Kalashnikova, Ekaterina A. Budenkova, Elena V. Ulrikh, Evgeny G. Chupakhin, Olga V. Kriger, Yakov A. Masiutin, Maria A. Smaga, Yulia S. Basova

“…The article introduces the optimal enzymatic hydrolysis parameters for pretreating Miscanthus sinensis Strictus biomass as a source of carbohydrate-containing substrates and describes their subsequent use for bacterial cellulose biosynthesis. …”
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A Low-Cost Arduino-Based I–V Curve Tracer with Automated Load Switching for PV Panel Characterization by Pedro Leineker Ochoski Machado, Luis V. Gulineli Fachini, Erich T. Tiuman, Tathiana M. Barchi, Sergio L. Stevan, Hugo V. Siqueira, Romeu M. Szmoski, Thiago Antonini Alves

“…Accurate photovoltaic (PV) panel characterization is critical for optimizing renewable energy systems, but it is often hindered by the high cost of commercial tracers or the slow, error-prone nature of manual methods. …”
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