The DHA supplementation during pregnancy: benefits and risks - review by Justyna Dutkiewicz, Wiktoria Mączyńska, Michał Wijata, Anna Maria Wijata, Zuzanna Adriana Przybyłek-Stępień, Ryszard Bartosiński, Jan Szustak, Maria Kąpa, Bartosz Szepietowski, Jakub Marek Kaźmierczak, Ewelina Rycerz, Piotr Pasek

“…The present paper reviews the literature on the biological significance of DHA during pregnancy, as well as the sources of this nutrient and its requirement. The benefits of taking DHA are also presented. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Furthermore, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) used for model optimization. …”
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Sweroside: unveiling broad therapeutic potential—from mechanistic insights to clinical potential by Liu Peng, Man Zuo, Tian Qiu, Wenying Lan, Yue Wen, Xiao-Qin Ye

“…The study examined Sweroside’s sources, distribution, biosynthesis, pharmacodynamics, and therapeutic applications. …”
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Comparative analysis of goat and bovine milk proteins in the improvement of sarcopenia based on host-microbial interactions by Ruoyu Wang, Yuxin Ma, Meng Sun, Lutong Li, Zhaofeng Zhang

“…IntroductionDiet intervention, especially supplementation with high-quality protein, is considered to be a critical strategy in sarcopenia. However, different sources and types of protein have different health impacts.ObjectivesThe aim of this study is to explore the differences in the ameliorative effects and mechanisms of different sources and types of proteins on sarcopenia, providing an optimal path for the prevention and treatment of sarcopenia.MethodsA sarcopenia model was established by intraperitoneal injection of dexamethasone (5 mg/kg). …”
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Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

“…AbstractThe purpose of this research is the effective factors on the design of the management dashboard framework with an emphasis on the components of human resources productivity. The research method is applicable in terms of purpose, qualitative in terms of execution method, and cross-sectional survey in terms of nature. …”
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Development of water vapor permeability determination methodology for spray film-forming systems by M. M. Shumkova, M. V. Pomytkina, A. A. Ananian, G. Pouya, M. M. Agabalyan, E. O. Bakhrushina

“…One of the key features of SFFSs is partial vapor permeability, a special case of occlusion. Various methods assess vapor permeability by determining the occlusion factor, but disparate approaches in studies prevent harmonizing results and identifying optimal parameters.Aim. …”
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Cultured sand sea cucumber growth with different water exchange systems by Debora Liubana, Joi Alfreddi Surbakt, Claudya Zyta Tobu

“… ABSTRACT Sand sea cucumber (Holothuria scabra) is a high economic value as a food source. Sea cucumbers contain beneficial bioactive compounds for health. …”
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Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem by Junhee Lee, Heechan Chae, Seungwook Son, Jongwoong Seo, Yooil Suh, Jonguk Lee, Yongwha Chung, Daihee Park

“…To address the degradation issue, this study proposes a self-training-based domain adaptation method that utilizes a single label on target (SLOT) sample from the target domain, a genetic algorithm (GA)-based data augmentation search (DAS) designed explicitly for SLOT data to optimize the augmentation parameters, and a super-low-threshold strategy to include low-confidence-scored pseudo-labels during self-training. …”
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Efficient Recovery of Gadolinium from Contaminated Waters Using Manganese Ferrite Nanoparticles by Joana Sousa, João Pinto, Helena Barbosa, Daniela S. Tavares, Rosa Freitas, Tito Trindade, João Rocha, Eduarda Pereira

“…Addressing this challenge, recent studies have explored the potential of magnetic materials, such as spinel ferrite nanoparticles, in the removal of Gd from contaminated water sources. The present study specifically focused on the use of MnFe₂O₄ nanoparticles to remove Gd from contaminated solutions, employing response surface methodology (RSM) to optimize sorption conditions. …”
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Comparative analysis of international melanoma guidelines by Ahmad Idrissi-Yaghir, Henning Schäfer, Hendrik Damm, Georg C. Lodde, Elisabeth Livingstone, Dirk Schadendorf, Christoph M. Friedrich

“…Understanding the discrepancies in the referenced evidence across national guidelines can offer insights into the sources that inform their development. These insights may contribute to optimizing future diagnostic methods, treatment strategies, and follow-up care approaches. …”
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Multiphysics modeling and validation of a microwave applicator with a three-stub tuner for the continuous flow pasteurization of fruit juices with low reflection by Guilherme Russo, Jorge A. W. Gut, Jorge A. W. Gut, Dorin Boldor

“…Using the principles of electromagnetism and the Monte Carlo method, the stub heights in the tuner were optimized to minimize power reflection, quantified by the scattering parameter (S11). …”
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Conditions for Extraction of Saponins <I>Solidágo virgáurea</I> by M. U. Sergalieva, A. V. Samotruev, A. A. Tsibizova

“…In addition, the extraction of extracts based on Solidago grass has not been studied in detail, which determines the relevance of the study of representatives of this genus in the technological aspect.Aim. Determination of optimal conditions for the extraction of biologically active substances from the grass of Solidago virgaurea.Materials and methods. …”
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Use of Fruit Waste as Natural Dyes in pH-Sensitive Colorimetric Sensors for Tilapia Fillets Quality Decline by Brigitta Stella Audrynachristie, Mochammad Amin Alamsjah, Kismiyati

“…Further studies are needed to explore other natural dyes and optimize the polymers for optimal bioplastic characteristics.…”
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Microbial transformation of sewage sludge to biolipid-based fuel using potential oleaginous bacteria Streptomyces sp. by Sana Akbar, Muzammil Anjum, Samia Qadeer, Rab Nawaz, Zepeng Rao, Zepeng Rao, Habib Ullah, Abdulaziz Alamri, Mohamed A. El-Tayeb

“…The study was conducted to harness Streptomyces sp. to produce bio-lipids and their further processing for biofuel through transesterification.MethodsSewage sludge was obtained from the I-9 treatment plant, Islamabad; after initial characterization the unprocessed sludge was optimized viz.: incubation time (24–96 h), inoculation rate (5–15%), pH levels (4–9), temperature (25–40°C), agitation (0–250 RPM), nitrogen sources (yeast, urea, ammonium chloride, and ammonium nitrate), and carbon sources (glucose, sucrose, starch, and dextrose). …”
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UNREMOVABLE PROSTHETICS WITH METAL STRUCTURES OF TEETH, ITS TYPES, CHARACTERISTICS AND POSSIBLE COMPLICATIONS by Oleh V. Marfiian, Andrii Ye. Demkovych, Liudmyla V. Piasetska, Oleksandr A. Bedenyuk, Orysia O. Bandrivska

“…Complications arising from the use of crowns prompt scientists to search for optimal methods of material selection, design features of prostheses, improvement of their manufacturing technologies, development of methods and means to prevent negative consequences and side effects of fixed prosthetics. …”
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Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM2.5 in China by Feiran Wei, Shijun Yang, Huiying Wang, Meng Zhao, Meng Zhao, Jinyi Zhou, Xiaobing Shen, Xiaobing Shen, Renqiang Han, Renqiang Han, Gaoqiang Fei

“…We aimed to explore the effects of historical PM2.5 with time lags and build a prediction model using machine learning methods.Study designAn ecological epidemiology study.MethodsLung cancer incidence data from Jiangsu Province (2014–2018) were combined with annual PM2.5 concentration data from satellite sources for the previous 10 years (lag 0 to lag 9). …”
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A multidisciplinary and structured approach for comprehensive evaluation of functional outcomes, adverse events, psychosocial outcomes and health-related quality of life after loca... by Leonie G. Tigelaar, Lianne M. Haveman, Willem P. Bekkering, Irene L. B. Oude Lansink, Christel D. Rohrich, Hinke Van der Hoek, Laura R. Beek, Jennifer Van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff-Lentink, Alied M. Van der Aa-Van Delden, Heleen Maurice-Stam, Annemarie M. L. Peek, Helena J. H. Van der Pal, Maria M. W. Koopman, Leontien C. M. Kremer, Stijn J. Westerbos, Harm Van Tinteren, Jos A. M. Bramer, Jos A. M. Bramer, Michiel A. J. Van de Sande, Michiel A. J. Van de Sande, Martha A. Grootenhuis, Hendrik W. B. Schreuder, Hendrik W. B. Schreuder, Johannes H. M. Merks, Johannes H. M. Merks

“…Standard of care clinical assessments serve as the primary data source for this study. Furthermore, additional research assessments are performed to further expand our knowledge. …”
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Tailoring Photophysical Processes of Er3+‐Doped Gd3Ga5O12 Garnets for Enhanced Photoluminescence via Al3+ Ion Preference Substitution by Zhengjie Tian, Haiyan Wang, Yunfeng Lou, Qihang Deng, Zhi Yang, Xiyong Chen, Bingsuo Zou, Mingjian Yuan, Ruosheng Zeng

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Transcriptional fingerprinting of regulatory T cells: ensuring quality in cell therapy applications by Zhang Cheng, Li-Jie Wang, Yuchi Honaker, Steven A. Cincotta, Claire E. Page, Sydney Vollhardt, Victor Yuan, S. Alice Long, Yuanyuan Xiao, Joshua N. Beilke, Joseph R. Arron, Jeffrey A. Bluestone

“…Commonly used methods to identify Treg, including assessment of FOXP3 expression and demethylation of the Treg-specific demethylated region (TSDR), may not be sufficient on their own to ensure that Treg cell therapy drug products have an optimal identity and phenotype prior to infusion into patients.MethodsTo address this critical need, we developed a robust framework to molecularly characterize Treg products using next-generation sequencing. …”
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Origin Traceability of Chinese Mitten Crab (<i>Eriocheir sinensis</i>) Using Multi-Stable Isotopes and Explainable Machine Learning by Danhe Wang, Chunxia Yao, Yangyang Lu, Di Huang, Yameng Li, Xugan Wu, Weiguo Song, Qinxiong Rao

“…The Chinese mitten crab (<i>Eriocheir sinensis</i>) industry is currently facing the challenges of origin fraud, as well as a lack of precision and interpretability of existing traceability methods. Here, we propose a high-precision origin traceability method based on a combination of stable isotope analysis and interpretable machine learning. …”
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