Global human exposure of atmospheric polybrominated diphenyl ethers: Variation patterns of exposure pathways and phase contributions by Pengtuan Hu, Shimin Zhong, Jin Guo, Mengyao Wang, Shiyu Shi, Donghai Liu, Hao Yu, Fujie Zhu, Yi-Fan Li, Zhiguo Cao

“…Data on gaseous PBDEs were collected from 125 cities across 38 countries and regions to predict size-resolved particulate exposure levels, utilizing our previous method for inhalation alongside a size-dependent prediction method for dermal exposure developed in this study. …”
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Prognostic Implications of the Number of Lymph Node Metastases in Oral Tongue Squamous Cell Carcinoma: A Population Study of the SEER Database and an Institutional Registry by Wenjie Huang, Yu Zhang, Hao Li, Zhiying Liang, Shumin Zhou, Jie Pan, Hui Xie, Chao Luo, Shuqi Li, Guangying Ruan, Fei Ai, Yanfeng Chen

“…Results Among 518 curative‐intent OTSCC patients, the number of PLNs independently predicted overall survival (OS), surpassing other pathological nodal features, including extranodal extension, laterality, and lower neck involvement. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…Individuals from the four regions could be distinguished and predicted based on a model constructed using the random forest algorithm, with the predictive effect of palmar microbiota being better than that of oral and nasal cavities. …”
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Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial by Ukrae Cho, Yong Nam Gwon, Seung Ryong Chong, Ji Yeon Han, Do Kyung Kim, Seung Whan Doo, Won Jae Yang, Kyeongmin Kim, Sung Ryul Shim, Jaehun Jung, Jae Heon Kim

“…ObjectiveThis study aimed to assess the effectiveness of an AI-based prediction tool in providing patients with information about potential complications from ureteroscopy and ureteric stent placement and indicating the need for early additional therapy. …”
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Effects of Carbonate Alkalinity on Antioxidants, Immunity and Intestinal Flora of <i>Penaeus vannamei</i> by Chuang Gao, Zhonghong Li, Bo Ma, Rantao Zuo, Xudong Shen, Mingkang Chen, Chuanqi Ren, Wenjun Zheng, Zhonglu Cai, Jiaxing Li, Shuang Li

“…At the genus level, the abundance of <i>Chrysobacteria</i> was significantly increased (<i>p</i> < 0.05). The functional prediction results of COG and KEGG showed that the functional abundance of RNA polymerase sigma-70 factor is direct bacterial or plastid core RNA polymerase and is specific to promoter elements that are situated 10 and 35 base-pairs upstream of transcription-initiation points—in the high carbonate alkalinity treatment group, this was higher than that in the control group. …”
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Prognostic biomarker soluble ST2 exhibits diurnal variation in chronic heart failure patients by Sandra Crnko, Markella I. Printezi, Tijn P.J. Jansen, Laurynas Leiteris, Manon G. van derMeer, Hilde Schutte, Martijn vanFaassen, Bastiaan C. duPré, Nicolaas deJonge, Folkert W. Asselbergs, Carlo A.J.M. Gaillard, Hans Kemperman, Pieter A. Doevendans, Joost P.G. Sluijter, Linda W. vanLaake

“…For example, by measuring sST2 during the afternoon, when levels are at their highest, false negatives on prognosis prediction could be avoided.…”
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Open-label dose-extending placebos for opioid use disorder: a protocol for a randomised controlled clinical trial with methadone treatment by Annabelle M Belcher, Thomas O Cole, Aaron D Greenblatt, Stephen W Hoag, David H Epstein, Michael Wagner, Amy S Billing, Ebonie Massey, Kristen R Hamilton, Zofia K Kozak, Christopher J Welsh, Eric Weintraub, Emerson M Wickwire, Eric D Wish, Ted J Kaptchuk, Luana Colloca

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Sex Differences in the Prognostic Value of Circulating Biomarkers in Patients Presenting With Acute Chest Pain by Gard Mikael Sæle Myrmel, MD, Nasir Saeed, Ole Thomas Steiro, MD, Hilde Lunde Tjora, MD, PhD, Jørund Langørgen, MD, PhD, Rune Oskar Bjørneklett, MD, PhD, Øyvind Skadberg, MD, Vernon Vijay Singha Bonarjee, MD, PhD, Øistein Rønneberg Mjelva, MD, Eva Ringdal Pedersen, MD, PhD, Kjell Vikenes, MD, PhD, Torbjørn Omland, MD, PhD, Kristin Moberg Aakre, MD, PhD

“…Background: Biomarkers are used for long-term risk prediction of cardiovascular (CV) events in patients presenting with suspected acute coronary syndromes. …”
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Modification and analysis of context-specific genome-scale metabolic models: methane-utilizing microbial chassis as a case study by M. A. Kulyashov, R. Hamilton, Y. Afshin, S. K. Kolmykov, T. S. Sokolova, T. M. Khlebodarova, M. G. Kalyuzhnaya, I. R. Akberdin

“…The CS-GSM predictions agreed with the experimental measurements under the assumption that the Fae1-2 is a part of the tetrahydrofolate-linked pathway. …”
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The role of the behavioral immune system in the expression of short and long-term orientation in young Chilean men during the COVID-19 pandemic by Oriana Figueroa, Pablo Polo, Daniel Torrico-Bazoberry, Gabriela Fajardo, Carlos Rodríguez-Sickert, Nohelia Valenzuela, Abigail Arenas, Paula Pavez, Montserrat Belinchon, Gabriela Valdebenito, José Antonio Muñoz-Reyes

“…The behavioral immune system predicts that when faced with the risk of contagion from pathogens, people tend to reduce their sociality, especially sociosexuality. …”
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Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

“…The experimental results indicated that the model’s prediction results were reliable and exhibited higher efficiency compared to other combinations. …”
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Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

“…Conclusively, leveraging these results, we have created an online analytical tool (https://xulymphoma.shinyapps.io/PCDI_pred/) designed for the prognostic prediction of patients with less‐defined subtype DLBCL. …”
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Prediksi Kelulusan Tepat Waktu Berdasarkan Riwayat Akademik Menggunakan Metode K-Nearest Neighbor by Imam Riadi, Rusydi Umar, Rio Anggara

“…The test results point k=1 to point k=7, k=3 is the highest prediction accuracy value so that the research results become a source of knowledge for the faculty in predicting student graduation. …”
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Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

“…Our results highlight the utility of machine learning applications for clinical risk prediction and scope to improve patient surveillance.…”
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Fusion of EEG and EMG signals for detecting pre-movement intention of sitting and standing in healthy individuals and patients with spinal cord injury by Chenyang Li, Chenyang Li, Yuchen Xu, Tao Feng, Tao Feng, Minmin Wang, Minmin Wang, Minmin Wang, Xiaomei Zhang, Li Zhang, Li Zhang, Ruidong Cheng, Weihai Chen, Weihai Chen, Weidong Chen, Weidong Chen, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang

“…Each filter paired with a support vector machine classifier to classify future movements into one of three classes: sit-to-stand, stand-to-sit, or rest. The final prediction was determined using a majority voting scheme.ResultsAmong the three functional connectivity methods investigated—coherence, Pearson correlation coefficient and mutual information (MI)—the MI-based EEG–EMG network showed the highest decoding performance (94.33%), outperforming both EEG (73.89%) and EMG (89.16%). …”
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Multifaceted Assessment of Chronic Gastritis: A Study of Correlations between Serological, Endoscopic, and Histological Diagnostics by Toshitatsu Takao, Takeshi Ishikawa, Takashi Ando, Madoka Takao, Tsuguhiro Matsumoto, Yutaka Isozaki, Mika Okita, Yasuyuki Nagao, Hirokazu Oyamada, Keiichi Yokoyama, Atsushi Tatebe, Kazuhiko Uchiyama, Osamu Handa, Tomohisa Takagi, Nobuaki Yagi, Satoshi Kokura, Yuji Naito, Toshikazu Yoshikawa

“…Pepsinogen I/II ratio allows prediction of the existence of endoscopic gastritis and histological gastritis, or the extent of their development, with high accuracy.…”
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Blood-based prognostic scores and early dynamics under immunotherapy to select patients with metastatic solid tumors for continuing immune check-point inhibition: a prospective lon... by Javier García-Corbacho, Alberto Indacochea, Iván Victoria, Débora Moreno, Laura Angelats, Azucena E. González Navarro, Laura Mezquita, Fara Brasó-Maristany, Patricia Galván, Begoña Mellado, Nuria Viñolas, Tamara Sauri, Miquel Nogué, Barbara Adamo, Joan Maurel, Estela Pineda, Lydia Gaba, Oscar Reig, Neus Basté, Esther Sanfeliu, Manel Juan, Aleix Prat, Francesco Schettini

“…The primary endpoint was identifying the best score to predict rapid PD (≤ 4 months) with ICI using logistic regressions accounting for tumor type, and receiving operators characteristics (ROC) with area under curve (AUC), accompanied by an extensive comparison of the score performances in the prediction of overall survival (OS), progression-free survival (PFS), overall response rates (ORR) and durable clinical benefit (DCB). …”
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A New Metabolism-Related Index Correlates with the Degree of Liver Fibrosis in Hepatitis C Virus-Positive Patients by Hirayuki Enomoto, Nobuhiro Aizawa, Hideji Nakamura, Ryo Takata, Yoshiyuki Sakai, Yoshinori Iwata, Hironori Tanaka, Naoto Ikeda, Tomoko Aoki, Kunihiro Hasegawa, Kazunori Yoh, Kenji Hashimoto, Akio Ishii, Tomoyuki Takashima, Masaki Saito, Hiroyasu Imanishi, Hiroko Iijima, Shuhei Nishiguchi

“…In addition, the index showed a higher AUROC value than that of FIB-4 and the APRI for prediction of liver cirrhosis. Conclusion. The new metabolism-related index, GA/HbA1c/BTR value, is shown to relate to the degree of liver fibrosis in HCV-positive patients.…”
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Comprehensive Evaluation of GPM-IMERG, CMORPH, and TMPA Precipitation Products with Gauged Rainfall over Mainland China by Guanghua Wei, Haishen Lü, Wade T. Crow, Yonghua Zhu, Jianqun Wang, Jianbin Su

“…Moreover, IMERG V05B was compared with IMERG V04A, the Tropical Rainfall Measuring Mission (TRMM) 3B42, and the Climate Prediction Center Morphing technique (CMORPH)-CRT in this study. …”
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The diagnostic value of the combined application of blood lipid metabolism markers and interleukin-6 in osteoporosis and osteopenia by Liping Fan, Jiahao Chen, Chong Chen, Yongwei Zhang, Yeqing Yang, Zhe Chen

“…Abstract Background This study aimed to analyse the relationship of the blood lipid profile and interleukin-6 (IL-6) with osteoporosis and osteopenia and to explore the predictive value of the combined application of these biomarkers in osteoporosis and osteopenia. …”
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