Impaired Recent Verbal Memory in Pornography-Addicted Juvenile Subjects by Pukovisa Prawiroharjo, Hainah Ellydar, Peter Pratama, Rizki Edmi Edison, Sitti Evangeline Imelda Suaidy, Nya’ Zata Amani, Diavitri Carissima

“…We found a significant reduction in the RAVLT A6 result of the addiction group (nonaddiction vs addiction: 13.47 ± 2.00 vs 11.67 ± 2.44, MD = −1.80, p=0.04), but not in ROCFT or attention tests. Analysis in sex subgroups yielded no sex-specific difference. We concluded that pornography addiction may be associated with impaired recent verbal memory in juveniles, regardless of sex and without association to attention.…”
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Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma by Tao Chen, Jialiang Wen, Xinchen Shen, Jiaqi Shen, Jiajun Deng, Mengmeng Zhao, Long Xu, Chunyan Wu, Bentong Yu, Minglei Yang, Minjie Ma, Junqi Wu, Yunlang She, Yifan Zhong, Likun Hou, Yanrui Jin, Chang Chen

“…Importantly, combining TNM stage with the established model helped to distinguish subgroups of patients with high-risk stage II and stage III disease who are highly likely to benefit from adjuvant chemotherapy. …”
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Application of Hydrophilic Interaction Liquid Chromatography for the Quantification of Flavonoids in Genista tinctoria Extract by Aleksandra Sentkowska, Magdalena Biesaga, Krystyna Pyrzynska

“…Hydrophilic interaction chromatography (HILIC) was employed to investigate chromatographic behavior of selected flavonoids from their different subgroups differing in polarity. Chromatographic measurements were performed on two different HILIC columns: unmodified silica (Atlantis-HILIC) and zwitterionic sulfoalkylbetaine (SeQuant ZIC-HILIC). …”
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AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation by Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun

“…The predictive model distinguished high-risk subgroups by integrating multiple parameters, demonstrating superior prognostic precision compared to standard NIHSS-based assessments. …”
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Evaluation of Prognostic Factors Following Flow-Cytometric DNA Analysis after Cytokeratin Labelling: I. Breast Cancer by Pauline Wimberger, Peter Hillemanns, Thomas Kapsner, Hermann Hepp, Rainer Kimmig

“…In gynecologic oncology valid prognostic factors are necessary to estimate the course of disease and to define biologically similar subgroups for analysis of therapeutic efficacy. The presented study is a prospective study concerning prognostic significance of DNA ploidy and S‐phase fraction in breast cancer following enrichment of tumor cells by cytokeratin labelling. …”
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Comparative Evaluation of Surface Roughness of Different Composite Restorative Materials after Thermocycling and Prolonged Immersion in Common Beverages Using Atomic Force Microsco... by Akanksha Malik, Anjali K. Kothari, Riya Dave, Vinay V. Rao, Kaushal Vyas, Deep P. Agrawal, Kishan Patel

“…Each group was divided into four subgroups (n = 4 each): distilled water (control), black coffee, Coca-Cola, and Red Bull. …”
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Treatment time and learning curve analysis of 1.5 T MR-Linac workflows led by radiation oncologists or therapists by J.M. Westerhoff, F.J. Raaijmakers, L.A. Daamen, E.N. de Groot-van Breugel, L.T.C. Meijers, J.R.N. van der Voort van Zyp, J.J.C. Verhoeff, S. Mook, H.M. Verkooijen, M.P.W. Intven

“…No significant differences in the remaining subgroups were found. In subgroups with a learning curve, mean online adaptation time of learning and proficiency phase were 30 (±6) and 26 (±5) minutes (p < 0.001) for ATS-treated prostate cancer, 27 (±8) and 19 (±7) minutes for pelvic LNM (p < 0.001), and 29 (±7) and 25 (±7) minutes (p < 0.001) for rectal cancer, respectively. …”
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Kidney failure-related excess mortality during the first three years of the COVID-19 pandemic in the United States: a nation-wide, population-based analysis by Zhenhu Chen, Pingping Jia, Di Xie, Jingyu Xie, Juan Liu, Wangnan Cao, Lefei Han, Jinjun Ran, Shengzhi Sun, Shi Zhao, Yang Ge, Leonardo Martinez, Xin Chen, Peihua Cao

“…Additionally, disparities in mortality were evident among various demographic groups, including age, sex, racial/ethnic subgroups, and geographic regions. Across all age subgroups, an increase in kidney failure-related mortalities was observed, with individuals aged 85 years and above experiencing the most substantial relative increase, reaching 9595.8 per million persons (95% CI: 9438.8, 9752.9). …”
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Inequalities in utilization of maternal health services in Ethiopia: evidence from the PMA Ethiopia longitudinal survey by Asebe Hagos, Misganaw Guadie Tiruneh, Melak Jejaw, Kaleb Assegid Demissie, Lemlem Daniel Baffa, Demiss Mulatu Geberu, Getachew Teshale, Tesfahun Zemene Tafere

“…BackgroundPrevious studies documented the existence of substantial inequalities in the utilization of maternal health services across different population subgroups in Ethiopia. Regularly monitoring the state of inequality could enhance efforts to address health inequality in the utilization of maternal health services. …”
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Determination of HLA Tissue Type According to the Etiology of Patients with Chronic Renal Failure by Burcu KARAKUS TURAN, Fahri UCAR, Vural Taner YILMAZ, Yahya KILINC, Sule DARBAŞ ARAS, Huseyin KOCAK, Nurten SAYIN EKINCI, Bulent AYDINLI, Habibe Sema ARSLAN

“…This study aims to investigate the association between human leukocyte antigen (HLA) alleles individuals with CKD and the different etiological subgroups of diesease. Methods: Genomic DNA was obtained from peripheral blood samples of 1,079 patients with retrospective CKD and 1,111 healthy control individuals. …”
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Skeletal Status, Body Composition, and Glycaemic Control in Adolescents with Type 1 Diabetes Mellitus by Elzbieta Wierzbicka, Anna Swiercz, Pawel Pludowski, Maciej Jaworski, Mieczyslaw Szalecki

“…The calculated Z-scores of different metabolic control subgroups were compared. Clinical data was also assessed. …”
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Mental health in the COVID-19 pandemic: A longitudinal analysis of the CLoCk cohort study. by Laura Panagi, Simon R White, Snehal M Pinto Pereira, Manjula D Nugawela, Isobel Heyman, Kishan Sharma, Terence Stephenson, Trudie Chalder, Natalia K Rojas, Emma Dalrymple, Kelsey McOwat, Ruth Simmons, Olivia Swann, CLoCk Consortium, Tamsin Ford, Roz Shafran

“…Most, but not all, suggest deterioration in mental health but population level studies may obscure the differing experiences of subgroups. The study questions are: (i) are there subgroups of CYP with distinct mental health profiles over the course of the second year of the Coronavirus Disease 2019 (COVID-19) pandemic (between April 2021 and May 2022); and (ii) do vulnerability factors influence CYP's mental health trajectories.…”
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The Projective Character Tables of a Solvable Group 26:6×2 by Abraham Love Prins

“…The Chevalley–Dickson simple group G24 of Lie type G2 over the Galois field GF4 and of order 251596800=212.33.52.7.13 has a class of maximal subgroups of the form 24+6:A5×3, where 24+6 is a special 2-group with center Z24+6=24. …”
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On the Potential of Algorithm Fusion for Demographic Bias Mitigation in Face Recognition by Jascha Kolberg, Yannik Schäfer, Christian Rathgeb, Christoph Busch

“…., skin color or gender, while improving fairness for demographic subgroups turns out to be more challenging.…”
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Scanning in Dentistry: A Systematic Review by Antarik Dhar

“…The types of studies included were restricted to the original studies and human trials. Analyses of subgroups and meta-regression were used to calculate the heterogeneity. …”
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Recent advances in the prevention of secondary ischemic stroke: A narrative review by Yue Qiao, Aminah I. Fayyaz, Yuchuan Ding, Xunming Ji, Wenbo Zhao

“…Future research should focus on identifying the optimal treatment strategies for specific patient subgroups and the clinical translation and application of new therapeutic methods.…”
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Evaluation of Effects of Staining and Bleaching Agents on the Stability of Color for Microhybrid and Nanohybrid Resin Composite Restorative Materials – An In vitro Study by Simran Virdy, Surya Dahiya, Navneet Kukreja, Rajan Dhawan, Nidhi Aggarwal, Mohini Tiwari

“…Each group was further divided into two subgroups to receive a 14-day application of Opalescence PF or VivaStyle® Paint On Plus bleaching materials. …”
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Advanced Melanoma: Updated Results from Ongoing Trials by Egle Ramelyte, Ramon Staeger

“…Following the success of BRAF/MEK inhibitors (BRAF/MEKis) and immune checkpoint inhibitors (ICIs), clinical research is ongoing to improve survival rates, particularly in selected patient subgroups, such as patients with treatment-refractory disease or leptomeningeal involvement. …”
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Vision-Threatening Behcet’s Disease: Severity of Ocular Involvement Predictors by Mohammed A. Hussein, Iman M. Eissa, Ahmed A. Dahab

“…Patients were further subgrouped by the authors as having a vision-threatening form of the disease or not. …”
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5G network slicing function migration mechanism based on particle swarm optimization algorithm by Qiang CHEN, Caixia LIU, Lingshu LI

“…In multi-application scenarios of 5G,data traffic often increases dramatically.Virtual machine resources in network slicing may not meet the normal needs of users.In view of this,a network slicing function migration mechanism aiming at load balancing was proposed.The mechanism simulates the virtual machine into particles based on particle swarm optimization algorithm.In the process of migration,all particles were divided into several subgroups,and particle swarm optimization algorithm was applied within and among groups.According to the historical optimal solution and the current global optimal solution,the particle location was updated,and the best target particles were determined by selecting the smaller particle size of the particle in real time.The mechanism not only improves the convergence speed,but also improves the accuracy of the algorithm.Compared with other migration methods,the results show that the proposed migration mechanism has the advantages of high accuracy and fast convergence.And it can also improve the efficiency of resource utilization,reduce the energy consumption of data center,and has better adaptability.…”
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