Exploring the role of methylation-driven gene IFFO1 in pancreatic adenocarcinoma diagnosis, prognosis and cellular functions by XU Ziqi, HU Ruizhi, LI Junjian, WANG Hongxia, SANG Youzhou

“…Additionally, pan-cancer analysis revealed that IFFO1 exhibited abnormal promoter methylation and low expression across various cancer types, with its methylation levels demonstrating significant diagnostic and prognostic prediction value among different tumors. Conclusion: Promoter hypermethylation results in decreased expression of IFFO1 in PAAD. …”
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Relationship between dietary fiber physicochemical properties and feedstuff fermentation characteristics and their effects on nutrient utilization, energy metabolism, and gut micro... by Feng Yong, Bo Liu, Huijuan Li, Houxu Hao, Yueli Fan, Osmond Datsomor, Rui Han, Hailong Jiang, Dongsheng Che

“…Furthermore, increasing the dietary β-glucan-to-arabinoxylan ratios led to a linear increase in SCFA production during the in vitro fermentation of ileal digesta (P < 0.001). Finally, the prediction equations for RE and NE were established. …”
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Combined Age with Mean Decrease Rates of Total Bilirubin and MELD Score as a Novel and Simple Clinical Predictor on 90-Day Transplant-Free Mortality in Adult Patients with Acute Li... by Di Jin, Kai Kang, Bing-zhu Yan, Jian-nan Zhang, Jun-bo Zheng, Zhi-hui Wang, Di Wu, Yu-jia Tang, Xin-tong Wang, Qi-qi Lai, Yang Cao, Hong-liang Wang, Yang Gao

“…However, no existing models can provide a satisfactory performance for clinical prediction on 90-day transplant-free mortality in adult patients with ALF undergoing PE. …”
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Crystal structure and elastic properties of parabreyite: a new high-pressure ring silicate in the CaSiO₃ system by B. Chrappan Soldavini, M. Merlini, M. Gemmi, P. Parlanti, P. Fumagalli, S. Milani, B. Joseph, G. Bais, M. Polentarutti, A. Kurnosov, S. Poli

“…The threefold ring topology of parabreyite suggests a new configuration for high-density tetrahedra structures, with significant implications for the prediction of high-pressure sp<span class="inline-formula">³</span> carbonates.…”
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Twenty years’ experience of midgut malrotation and volvulus in a tertiary center in northern Taiwan: A retrospective study by Wen-Yu Tseng, Ming-Wei Lai, Jin-Yao Lai, Chien-Chang Chen, Hsun-Chin Chao, Jeng-Chang Chen, Shih-Yen Chen, Yung-Ching Ming, Hung-Yu Yeh, Hung-Hsiang Lai, Sze-Ya Ting, Pai-Jui Yeh

“…An AST/Hb ratio of <3.78 demonstrated a high negative predictive value (98.6%) for an adverse outcome in midgut malrotation. …”
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Editorial by Christian Gütl

“…Song Yu, Bugao Jiang, Danni Zhang, and Zhifang Liao from China address in their research a cross-community question relevance prediction model, CCQRP, to predict the relevance of Stack Overflow questions and GitHub issues and recommend relevant GitHub issues. …”
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Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway by Yifan Cao, Zhifang Zhao, Mingchun Wen, Xin Zhao, Dingyi Zhou, Jingyi Qin, Liu Ouyang, Jingyao Cao

“…In combination with optical imagery data, a total of 521 landslide disaster points were identified. (2) In comparison to individual machine learning models, the Stacking demonstrated superior performance, with prediction capabilities and accuracy that surpassed other models. …”
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The Geometric Series Hypothesis of Leaf Area Distribution and Its Link to the Calculation of the Total Leaf Area per Shoot of <i>Sasaella kongosanensis</i> ‘Aureostriatus’ by Yong Meng, David A. Ratkowsky, Weihao Yao, Yi Heng, Peijian Shi

“…The MAPE values for the two equations to predict <i>A</i>_T were smaller than 5%. …”
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The Microlensing Event Rate and Optical Depth from MOA-II 9 Yr Survey Toward the Galactic Bulge by Kansuke Nunota, Takahiro Sumi, Naoki Koshimoto, Nicholas J. Rattenbury, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Akihiko Fukui, Ryusei Hamada, Shunya Hamada, Naoto Hamasaki, Yuki Hirao, Stela Ishitani Silva, Yoshitaka Itow, Yutaka Matsubara, Shota Miyazaki, Yasushi Muraki, Tsutsumi Nagai, Greg Olmschenk, Clement Ranc, Yuki K. Satoh, Daisuke Suzuki, Paul. J. Tristram, Aikaterini Vandorou, Hibiki Yama, (MOA collaboration)

“…We find our result is inconsistent with a prediction based on Galactic models, especially in the central region with ∣ b ∣ < 3°. …”
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Utility of Noninvasive Testing Before Invasive Coronary Angiography in the Assessment for Revascularization by Simon Parlow, MD, Richard G. Jung, MD, PhD, Pietro Di Santo, MD, Joanne Joseph, MD, Stephanie Skanes, MD, Omar Abdel-Razek, MD, Graeme Prosperi-Porta, MSc, MD, Pouya Motazedian, MD, Michael Froeschl, MSc, MD, Marino Labinaz, MD, Rebecca Mathew, MD, F. Daniel Ramirez, MSc, MD, Trevor Simard, MD, PhD, Benjamin Hibbert, MD, PhD

“…Overall sensitivity for CTA in the prediction of revascularization was 80.4% (95% CI, 75.7%-84.6%), with vessel-level sensitivity ranging from 57.3% (95% CI, 47.5%-66.7%) to 71.8% (95% CI, 65.8%-77.4%). …”
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Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational medicine by Liangyu Li, Xuewen Qin, Guangwei Wang, Siyi Li, Xudong Li, Lizhong Guo, Javier Santos, Ana María Gonzalez-Castro, Yanyang Tu, Yi Qin

“…The working mechanism of this model is to assign values to the parameters of the BP neural network by using the process of searching for the best fitness in multiple universes. This model can predict the five-year survival rate of patients based on immunohistochemical data. …”
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Comparison of autism domains across thirty rare variant genotypesResearch in context by Nabila M.H. Ali, Samuel J.R.A. Chawner, Leila Kushan-Wells, Carrie E. Bearden, Jennifer Gladys Mulle, Rebecca M. Pollak, Raquel E. Gur, Wendy K. Chung, Michael J. Owen, Marianne B.M. van den Bree, Harriet Housby, Irene Lee, David Skuse, Jeanne Wolstencroft, William Mandy, Spiros Denaxas, Kate Baker, Lucy Raymond, Marianne van den Bree, Samuel Chawner, Jeremy Hall, Peter Holmans, Josh Hope-Bell, Danielle Le Roux, Sally Morrin, Michael Owen, Shreeya Sivakumar

“…Further research is needed in order to understand these influences, improve risk prediction and inform genetic counselling and interventions. …”
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The prognostic value of the 8th American Joint Committee on cancer anatomic and prognostic stage groups for penile cancer: A multicenter collaboration study by Xueying Li, Yepeng Guo, Antonio Augusto Ornellas, Jiun-Hung Geng, Yonghong Li, Wayne Lam, Yabing Cao, Zhuowei Liu, Hui Han, Fangjian Zhou, Zaishang Li

“…The improved models, which are more concise and convenient, have similar prediction accuracy.…”
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Prevalence and characterization of IncQ1α-mediated multi-drug resistance in Proteus mirabilis Isolated from pigs in Kunming, Yunnan, China by Hongmei Liu, Hongmei Liu, Hongmei Liu, Na Xia, Fanan Suksawat, Bundit Tengjaroenkul, Yue Hu, Xiaofeng Zhou, Xiaojiang Li, Cuiqin Huang, Yinli Bao, Qiong Wu, Chunrong Zhang, Sunpetch Angkititrakul, Bin Xiang, Xin Wu

“…Whole-genome multi-locus sequence typing, resistance group analysis, genomic island prediction, and plasmid structural gene analysis were performed.ResultsA total of 30 isolates were obtained from 230 samples, yielding a prevalence of 13.04%. …”
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Studies on fatty acids and microbiota characterization of the gastrointestinal tract of Tianzhu white yaks by Chen Shaopeng, Cui Changze, Qi Youpeng, Mi Baohong, Zhang Meixian, Jiao Chenyue, Zhu Chune, Wang Xiangyan, Hu Jiang, Hu Jiang, Shi Bingang, Shi Bingang, Ma Xueming, Zhao Zhidong, Zhao Zhidong, Zhang Xiaolan

“…Ruminococcaceae_bacterium_g_UCG-005 and bacterium_g_Rikenellaceae_RC9_gut_group were unique to the colon. KEGG functional prediction of the microbiota indicated that the dominant functions in the rumen, abomasum, colon, and jejunum were amino acid metabolism, glycan biosynthesis and metabolism, carbohydrate metabolism, and membrane transport, respectively, reflecting the digestive functions of these organs. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Moreover, the proposed model has the best prediction effect on the "attack method" entity category, whose F1-score is 0.927 5. …”
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Source attribution of human Campylobacter infection: a multi-country model in the European Union by Cecilie Thystrup, Maja Lykke Brinch, Clementine Henri, Lapo Mughini-Gras, Lapo Mughini-Gras, Eelco Franz, Kinga Wieczorek, Montserrat Gutierrez, Deirdre M. Prendergast, Geraldine Duffy, Catherine M. Burgess, Declan Bolton, Julio Alvarez, Julio Alvarez, Vicente Lopez-Chavarrias, Thomas Rosendal, Lurdes Clemente, Ana Amaro, Aldert L. Zomer, Katrine Grimstrup Joensen, Eva Møller Nielsen, Gaia Scavia, Magdalena Skarżyńska, Miguel Pinto, Mónica Oleastro, Wonhee Cha, Amandine Thépault, Katell Rivoal, Martine Denis, Marianne Chemaly, Tine Hald

“…The aim of this study was to predict the sources of human campylobacteriosis cases across multiple countries using available whole-genome sequencing (WGS) data and explore the impact of data availability and sample size distribution in a multi-country source attribution model.MethodsWe constructed a machine-learning model using k-mer frequency patterns as input data to predict human campylobacteriosis cases per source. …”
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Evaluation of Treatment Outcomes Using dNLR and GNRI in Combination Therapy With Atezolizumab and Bevacizumab for Hepatocellular Carcinoma by Atsushi Naganuma, Satoru Kakizaki, Atsushi Hiraoka, Toshifumi Tada, Takeshi Hatanaka, Kazuya Kariyama, Joji Tani, Masanori Atsukawa, Koichi Takaguchi, Ei Itobayashi, Shinya Fukunishi, Kunihiko Tsuji, Toru Ishikawa, Kazuto Tajiri, Hidenori Toyoda, Chikara Ogawa, Hiroki Nishikawa, Takashi Nishimura, Kazuhito Kawata, Hisashi Kosaka, Masashi Hirooka, Yutaka Yata, Hideko Ohama, Hidekatsu Kuroda, Tomomitsu Matono, Tomoko Aoki, Yuki Kanayama, Kazunari Tanaka, Fujimasa Tada, Kazuhiro Nouso, Asahiro Morishita, Akemi Tsutsui, Takuya Nagano, Norio Itokawa, Tomomi Okubo, Taeang Arai, Michitaka Imai, Shinichiro Nakamura, Hirayuki Enomoto, Masaki Kaibori, Yoichi Hiasa, Masatoshi Kudo, Takashi Kumada

“…ABSTRACT Aim This study aims to investigate the clinical utility of the derived neutrophil‐to‐lymphocyte ratio (dNLR) and the Geriatric Nutritional Risk Index (GNRI) in predicting treatment outcomes for patients with unresectable hepatocellular carcinoma (HCC) undergoing combination therapy with atezolizumab and bevacizumab (Atez/Bev). …”
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Bounding elastic photon-photon scattering at s≈1 MeV using a laser-plasma platform by R. Watt, B. Kettle, E. Gerstmayr, B. King, A. Alejo, S. Astbury, C. Baird, S. Bohlen, M. Campbell, C. Colgan, D. Dannheim, C. Gregory, H. Harsh, P. Hatfield, J. Hinojosa, D. Hollatz, Y. Katzir, J. Morton, C.D. Murphy, A. Nurnberg, J. Osterhoff, G. Pérez-Callejo, K. Põder, P.P. Rajeev, C. Roedel, F. Roeder, F.C. Salgado, G.M. Samarin, G. Sarri, A. Seidel, C. Spindloe, S. Steinke, M.J.V. Streeter, A.G.R. Thomas, C. Underwood, W. Wu, M. Zepf, S.J. Rose, S.P.D. Mangles

“…Although far from the QED prediction, this represents the lowest upper limit obtained so far for Image 5.…”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

“…Background: Whole-slide image (WSI) is foundational for artificial intelligence in tumor diagnosis, treatment planning, and prognosis prediction. Efficient management of WSI labels is crucial for clinical digitalization; however, manual or semiautomatic methods limit scalability. …”
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