Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer by Adrian Wai Chan, Lakshmanan Sannachi, Daniel Moore-Palhares, Archya Dasgupta, Sonal Gandhi, Rossanna Pezo, Andrea Eisen, Ellen Warner, Frances C. Wright, Nicole Look Hong, Ali Sadeghi-Naini, Mia Skarpathiotakis, Belinda Curpen, Carrie Betel, Michael C. Kolios, Maureen Trudeau, Gregory J. Czarnota

“…Explanations for the misclassified cases included unplanned modifications made to the type of chemotherapy during treatment, inherent limitations of the predictive model, presence of DCIS in tumour structure, and an ill-defined tumour border in a minority of cases. …”
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Genome-Wide Identification of <i>G3BP</i> Family in U’s Triangle <i>Brassica</i> Species and Analysis of Its Expression in <i>B. napus</i> by Alain Tseke Inkabanga, Qiheng Zhang, Shanshan Wang, Yanni Li, Jingyi Chen, Li Huang, Xiang Li, Zihan Deng, Xiao Yang, Mengxin Luo, Lingxia Peng, Keran Ren, Yourong Chai, Yufei Xue

“…We then analyzed their gene structure, protein motifs, gene duplication type, phylogeny, subcellular localization, SSR loci, and upstream miRNAs. …”
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Bacteroides uniformis-generated hexadecanedioic acid ameliorates metabolic-associated fatty liver disease by Da-Ya Zhang, Da Li, Shi-Ju Chen, Li-Jun Zhang, Xu-Li Zhu, Fa-Di Chen, Chen Chen, Qi Wang, Yiping Du, Jian-Xin Xiong, Shi-Mei Huang, Xiao-Dong Zhang, Yan-Ting Lv, Fan Zeng, Run-Xiang Chen, Xianfeng Huang, Fengjiao Mao, Shuo Zhou, Qicen Yao, Yuliang Huang, Runyu Chen, Ying Mo, Yunqian Xie, Yue-Hong Jiang, Zhai Chen, Cui-Yi Mo, Jia-Jia Chen, Fei-Hu Bai

“…Distinct differences were identified in both the microbial community structure and metabolomic profiles between MAFLD patients and healthy controls. …”
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Cluster Candidates with Massive Quiescent Galaxies at z ∼ 2 by Tomokazu Kiyota, Makoto Ando, Masayuki Tanaka, Alexis Finoguenov, Sadman Shariar Ali, Jean Coupon, Guillaume Desprez, Stephen Gwyn, Marcin Sawicki, Rhythm Shimakawa

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Clinical analysis of vitrectomy combined with dexamethasone intraveal implant in the treatment of epiretinal membrane by WU Kunfang, GUO Meimei, LI Xiang, WANG Dingding

“…Both surgical methods can improve the structure, function, and microcirculation disorders in the macular area. …”
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User-Driven Development of a Digital Behavioral Intervention for Chronic Pain: Multimethod Multiphase Study by Afra Selma Taygar, Sara Laureen Bartels, Rocío de la Vega, Ida Flink, Linnéa Engman, Suzanne Petersson, Sophie I Johnsson, Katja Boersma, Lance M McCracken, Rikard K Wicksell

“…The Consolidated Framework for Implementation Research was used to structure analyses of end-user feedback. …”
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Nanoscale Organic Contaminant Detection at the Surface Using Nonlinear Bond Model by Hendradi Hardhienata, Muhammad Ahyad, Fasya Nabilah, Husin Alatas, Faridah Handayasari, Agus Kartono, Tony Sumaryada, Muhammad D. Birowosuto

“…Our simulations show good agreement with rotational anisotropy (RA) SHG intensity experimental data across all polarization angles, with a total error estimate of 3%. …”
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Vaccine Hesitancy and Immunization Patterns in Central and Eastern Europe: Sociocultural, Economic, Political, and Digital Influences Across Seven Countries by Kurpas D, Stefanicka–Wojtas D, Soll–Morka A, Lomper K, Uchmanowicz B, Blahova B, Bredelytė A, Dumitra GG, Hudáčková V, Javorska K, Juhász Z, Manulik S, Mohos A, Skarbalius E, Tkachenko VI, Uchmanowicz I

“…Differences were influenced by healthcare system structure, public trust, exposure to misinformation, and digital communication strategies.Conclusion: Addressing vaccine hesitancy requires targeted, context-sensitive communication and digital literacy programs. …”
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Comparative analysis of efficacy and safety of transurethral and vesicoscopic surgery of primary vesicoureteral reflux in children by A. V. Pirogov, V. V. Sizonov, M. I. Kogan

“…When comparing the gender structure of the groups, differences were not detected (p &gt;0.05). …”
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Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…Low timely diagnostics of depressions, high incidence rate of somaticized CD are noted. In the structure of climacteric syndrome the psychoemotional disturbances predominate above neurovegetative and metabolic-endocrine or are combined with vegetative dysfunction. …”
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Fecal microbiota transplants (FMT) of three distinct human communities to germ-free mice exacerbated inflammation and decreased lung function in their offspring by Ivon A. Moya Uribe, Hinako Terauchi, Julia A. Bell, Alexander Zanetti, Sanket Jantre, Marianne Huebner, S. Hasan Arshad, Susan L. Ewart, Linda S. Mansfield

“…Structure of HUmicrobiotas played a key role in determining varied allergic responses and resulting lung impairment, yet, strikingly, all mice with HUmicrobiotas had impaired lung function even in the absence of allergens. …”
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Advancing Heart Valve Replacement: Risk Mitigation of Decellularized Pulmonary Valve Preparation for Its Implementation in Public Tissue Banks by Rodríguez Martínez JI, Castells-Sala C, Piteira AR, Montagner G, Trojan D, Martinez-Legazpi P, Acosta Ocampo A, Fernández-Santos ME, Bermejo J, Jashari R, Pérez ML, Agustí E, Tabera J, Vilarrodona A

“…The present study aims to document the work performed for the safe implementation in public tissue banks of a new decellularization method for human pulmonary heart valves, based on previous risk evaluation.Methods: After assessing new preparation method associated risks, using EuroGTP-II methodologies, an extensive array of in vitro studies were defined to validate the new technique, mitigate the risks and provide quality and safety data.Results: Initial evaluation of risks using EuroGTP II tool, showed Final Risk Score of 23 (high risk), and four studies were devised to mitigate identified risks: (i) tissue structure integrity; (ii) cell content; (iii) microbiological safety; and (iv) cytotoxicity evaluation in final tissue preparation. …”
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Trends in the epidemiology of diabetic retinopathy in Russian Federation according to the Federal Diabetes Register (2013–2016) by Dmitry V. Lipatov, Olga K. Vikulova, Anna V. Zheleznyakova, Mikhail А. Isakov, Elena G. Bessmertnaya, Anna A. Tolkacheva, Timofey A. Chistyakov, Marina V. Shestakova, Ivan I. Dedov

“…Trend of new DR cases/per year increased: T1 153,2&rarr;187,8; T2 99,7&rarr;114,9. The structure of new cases of DR in 2016: non-proliferative stage (T1 71,4%, T2 80,3%), pre-proliferative stage 16,4%, 13,8%, proliferative 12,1%, 5,8%, terminal 0,2%, 0,1%, respectively, these data indicated the earlier detection of DR. …”
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PROPERTIES OF NEW SALTS OF 2-(5-(ADAMANTANE-1-YL)-4-R-1,2,4-TRIAZOLE-3-YLTIO)ACETIC ACIDS IN THE GLUCOSE TOLERANCE TEST by V. M. Odyntsova, Ye. S. Pruhlo, O. I. Panasenko, Ye. H. Knysh

“…The dependence of pharmacological activity on chemical structure has been determined. Conclusion In conditions of glucose tolerance test all studied salts increased blood glucose level. …”
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Construction of a preoperative emotional state and postoperative intra-abdominal pressure based prediction model for early enteral feeding intolerance in postoperative patients wit... by Yingying Xu, Qiongyuan Hu, Dandan Pei, Yin Zhang, Huanhuan Zhu, Yan Hui, Wenxian Guan, Meiling Xu, Li Chen

“…BackgroundThe incidence of enteral feeding intolerance (ENFI) in the early postoperative period is high in patients after gastric cancer resection due to the characteristics of surgical traumatic stress and changes in the physiological structure of the digestive tract, and the current evaluation of ENFI after gastric cancer resection mostly depends on the symptoms and complaints of patients after gastric cancer resection, which is lagging and subjective. …”
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Gut microbiota and metabolome signatures in obese and normal-weight patients with colorectal tumors by Marta La Vecchia, Michela Giulia Clavenna, Marika Sculco, Gloria Sala, Denise Marradi, Elettra Barberis, Soni Joseph, Marta Mellai, Nico Pagano, Renzo Boldorini, Barbara Azzimonti, Elisa Bona, Edoardo Pasolli, Flavia Prodam, Carlotta Sacerdote, Daniela Ferrante, Emilia Ghelardi, Marcello Manfredi, Anna Aspesi, Irma Dianzani

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Japanese Model of Attracting Foreign Youth in the Higher Education System by S. V. Ryazantsev, T. K. Rostovskaya, N. S. Ryazantsev

“…Moreover, the partner countries were chosen not only based on the priorities of Japanese geopolitics and economy, but also on objective demographic indicators (young age structure, large population). The interaction with migration partner countries is supported by real steps on the part of the Japanese authorities: investment, trade, business and cultural contacts. …”
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The Spatial Distribution of Tree Dieback Affected by Mistletoe in Relation to their Crown Characteristics by Erfan Boshkar, Ehsan Sayad, Shayeste Gholami

“…The range of height, tree height with mistletoe, average diameter of the crown tree, tree crown diameter with mistletoe and the percentage of crown dieback of trees with mistletoe are similar showing that these factors have a greater impact on the distribution of this variable. 4- Conclusion The studied variables occurred in a relatively large area, indicating the spatial structure of large, uniform distribution and continuity in the desired location in variable amounts. …”
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Nicotine-induced changes in surface properties of restorative materials and dental enamel: An in vitro study on flavored e-cigarette exposure by Maria Salem Ibrahim, Fatimah M. Alatiyyah, Abdulsalam M. Alsalman, Rayan F. Alzenidi, Ali A. Albattat, Ahmed S. Alkhaldi

“…Introduction This study aimed to assess the effects of various nicotine concentrations in flavored electronic cigarettes (e-cigarettes) on the surface roughness, microhardness, and color stability of restorative materials and enamel structure. Methods The study utilized nanohybrid packable resin composite restorations, resin-modified glass ionomer (RMGI), and dental enamel samples (n=10). …”
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MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children by Yasen Yimit, Yasen Yimit, Parhat Yasin, Yue Hao, Abudouresuli Tuersun, Abudouresuli Tuersun, Chencui Huang, Xiaoguang Zou, Xiaoguang Zou, Ya Qiu, Ya Qiu, Yunling Wang, Mayidili Nijiati, Mayidili Nijiati

“…To mitigate class imbalance, we implemented data augmentation and employed K-fold cross-validation to enhance model generalizability. …”
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