Severe anaemia in people with HIV: demographic, clinical and renal correlates by Kingsley Kamvuma, Sody Munsaka, Sepiso K. Masenga, John Amos Mulemena, Christopher Newton Phiri, Michelo Miyoba, Benson M. Hamooya

“…Anaemia was defined based on the World Health Organisation (WHO) classification, as haemoglobin concentration lower than normal i.e. <12 g/dl in females and < 13 g/dl in males and the primary outcome, severe anaemia, as a haemoglobin level below 8 g/dl according to the World Health Organisation. …”
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Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

“…TRACE outperformed alternative models nearly unilaterally, showing up to 12% increased classification accuracy and up to 56% improvement in discovering “cleaner”, task-relevant representations. …”
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The relationship between psychological resilience, perceived social support, acceptance of illness and mindfulness in patients with hepatolenticular degeneration by Tiemei Wang, Nianwei Wu, Senlin Wang, Yanjun Liu

“…By using the convenient sampling method, 136 patients with WD were selected from May 2019 to January 2023 in 12 tertiary hospitals in Chengdu. General information questionnaire, five facet mindfulness scale, resilience scale, acceptance of illness and perceived social support scale were used to conduct the investigation. …”
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Anxiety and depression in primary knee osteoarthritis patients: are they related to clinical features and radiographic changes? by Yasmin A. Abd Elhamid, Ghada S. Elazkalany, Marwa H. Niazy, Angie Y. Afifi

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Leukopenia and thrombocytopenia in dengue patients presenting in the emergency department of a tertiary center in Nepal: a cross-sectional study by Bibechan Thapa, Prakriti Lamichhane, Trishna Shrestha, Saral Lamichhane, Shreyasi Karki, Sneha Pradhananga, Kabita Hada Batajoo, Prajwal Pudasaini

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Evaluation of angular and positional changes of maxillary third molars following premolar extraction, molar distalization, and non-extraction treatments by Zeynep Çoban Büyükbayraktar, Hasan Camcı, Sultan İçmen, Artun Yangın

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New insights into the phylogeny and infrageneric taxonomy of Saussurea based on hybrid capture phylogenomics (Hyb-Seq) by Liansheng Xu, Zhuqiu Song, Tian Li, Zichao Jin, Buyun Zhang, Siyi Du, Shuyuan Liao, Xingjie Zhong, Yousheng Chen

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Short communication: The importance of random effects in detecting purging of inbreeding depression: A model comparison in Pannon White rabbits by I. Nagy, I. Curik, A.T. Nguyen, J. Farkas, Gy. Kövér

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Features and predictive value of 6-min walk test outcomes in interstitial lung disease: an observation study using wearable monitors by Jiaying Li, Xiaobing Wu, Xiaoyan Li, Miaozhen Deng, Xinyin Liang, Huiqun Wei

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Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study by Chenxi Yang, Yang Chen, Qingyuan Gong, Xinlei He, Yu Xiao, Yuhuan Huang, Xiaoming Fu

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Video Laryngoscopy for Endotracheal Intubation: A Consideration for Manual In-Line Stabilization Without Cervical Collar Versus Full Immobilization by Aramvanitch K, Leela-Amornsin S, Tienpratarn W, Nuanprom P, Aussavanodom S, Yuksen C, Boonsri S, Boonjarus N, Sanepim S

“…Time required to perform successful intubation (median [IQR] 17.20 [12.53, 24.40] vs 17.53 [14.06, 23.73], p-value 0.694) and Cormack-Lehane classification (11 [39.29%] vs 10 [35.71%] in grade I; 16 [57.14%] vs 17 [60.71%] in grade II; 1 [3.57%] vs 1 [3.57%] in grade III, p-value 1.000) showed no statistical difference between the two groups.Conclusion: It is unnecessary to remove the cervical hard collar when performing endotracheal intubation while using a video laryngoscope.Keywords: video laryngoscope, full immobilization, success rate, endotracheal intubation…”
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Klasifikasi Mahasiswa HER Berbasis Algoritma SVM dan Decision Tree by Jajang Jaya Purnama, Hendri Mahmud Nawawi, Susy Rosyida, Ridwansyah Ridwansyah, Risnandar Risnandar

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Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning by Hosna Tavakoli, Reza Rostami, Reza Shalbaf, Mohammad‐Reza Nazem‐Zadeh

“…This result was achieved by the k‐nearest neighbor algorithm, utilizing 12 brain neuroimaging features, selected by the feature selection method of minimum redundancy maximum relevance (MRMR). …”
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Angiographic Restenosis in Coronary Bifurcations Treatment with Regular Drug Eluting Stents and Dedicated Bifurcation Drug-Eluting BiOSS Stents: Analysis Based on Randomized POLBOS... by Robert J. Gil, Jacek Bil, Adam Kern, Luis A. Iñigo-Garcia, Radoslaw Formuszewicz, Slawomir Dobrzycki, Dobrin Vassilev, Roxana Mehran

“…In BiOSS group 24 cases of angiographic restenosis (10.8%) were recorded, and in DES group—17 cases (7.6%) at 12 months follow-up (angiographic control rate at follow-up—90.3%). …”
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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

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Development of a phenomena identification and ranking table (PIRT) for intermediate break loss-of-coolant accident in PWRs by Hae Min Park, Jong Hyuk Lee, Chiwoong Choi, Kwi-Seok Ha, Byung Hyun You, Jaeseok Heo, Kyung Doo Kim, Sung Won Bae, Seung Wook Lee, Dong Hyuk Lee, Sang Ik Lee, Chan Eok Park, Bub Dong Chung, Kwang Won Seul

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Potential of multimodal large language models for data mining of medical images and free-text reports by Yutong Zhang, Yi Pan, Tianyang Zhong, Peixin Dong, Kangni Xie, Yuxiao Liu, Hanqi Jiang, Zihao Wu, Zhengliang Liu, Wei Zhao, Wei Zhang, Shijie Zhao, Tuo Zhang, Xi Jiang, Dinggang Shen, Tianming Liu, Xin Zhang

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Factors influencing changes in the quality of life of the Hainan migratory population with hypertension: a survey of the Chengmai mangrove bay community by Qiaochun Chen, Jing Zhou, Na Li, Luming Liu, Yixuan Li, Wenfang Long, Ziyue Luo, Yunru Liu, Sha Xiao

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TYPOLOGYCAL VARIETIES OF STRATEGIES IN SOCIAL MEDIA by Victoria Ivashchenko, Mykhailo Hryshyn

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Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique by Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, Sahar K. Badri, Muhammad Zubair Asghar

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