Cardiovascular Reactivity to Mental Stress and Adverse Cardiovascular Outcomes in Patients With Coronary Artery Disease by Kasra Moazzami, Samaah Sullivan, Maggie Wang, Alexis K. Okoh, Zakaria Almuwaqqat, Brad Pearce, Amit J. Shah, Yan V. Sun, Yi‐An Ko, Paolo Raggi, J. Douglas Bremner, Viola Vaccarino, Arshed A. Quyyumi

“…Conclusions Among individuals with stable coronary artery disease, a risk score derived from cardiovascular reactivity to mental stress was predictive of adverse cardiovascular outcomes beyond traditional cardiovascular risk factors.…”
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Infiltration of CD8+ cytotoxic T-cells and expression of PD-1 and PD-L1 in ovarian clear cell carcinoma by Mengdi Fu, Huimei Zhou, Jiaxin Yang, Dongyan Cao, Zhen Yuan

“…The presence of CD8+ T-cells had significant potential for predicting the prognosis of patients with OCCC, which lays a foundation for the development of biomarkers for immune checkpoint blockade treatment response in OCCC patients.…”
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Does Baseline Serum Androgen Levels Have an Impact on Ovulation Induction Cycle Outcomes by Using Clomifene Citrate among Infertile Women with Polycystic Ovary Syndrome? A Retrospe... by Serkan Kahyaoglu, Muzeyyen Gulnur Ozaksit, Gozde Karacan Duman, Deniz Ozturk Atan, Inci Kahyaoğlu, Meryem Kuru Pekcan, Ozlem Moraloglu Tekin

“…The baseline serum cut-off level for free testosterone to predict clinical pregnancy was 1.94 pg/ml with 75% sensitivity and 67% specificity rates. …”
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Reverberation Evidence for Stream Collision and Delayed Disk Formation in Tidal Disruption Events by Hengxiao Guo, Jingbo Sun, Shuangliang Li, Yan-Fei Jiang, Tinggui Wang, Defu Bu, Ning Jiang, Yanan Wang, Yuhan Yao, Rongfeng Shen, Minfeng Gu, Mouyuan Sun

“…Since the observed UV/optical luminosity significantly exceeds the predictions of the compact disk model in classical TDE theory, two competing models, stream collision and envelope reprocessing, have been proposed to address this discrepancy. …”
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The association between sarcopenia and clinical outcomes among Chinese patients with triple-negative breast cancer: a retrospective study by Huayan Gu, Teng Zhu, JiaLing Ding, Zhi Yang, Yiqiao Lu, Guilong Guo

“…Sarcopenia was demonstrated to be a significant predictive factor for both OS (HR,2.885; 95% CI, 1.349–6.169; p = 0.006) and DFS (HR,3.121; 95% CI, 1.578–6.175; p = 0.001) in the multivariate Cox proportional hazard model. …”
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Network pharmacology and molecular analysis of mechanisms underlying the therapeutic effects of Rhubarb in treating atherosclerosis and abdominal aortic aneurysm by Huilin Xu, Jun Huang, Youjie Zeng, Xia Wang, Huilin Lian, Siyi Zhang, Ren Guo

“…Conclusions: This study successfully predicted the molecular functions, pharmacological targets, and pathways associated with Rhubarb for treating AS/AAA. …”
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Linking obesity-associated genotype to child language development: the role of early-life neurology-related proteomics and brain myelinationResearch in context by Jian Huang, Jinyi Che, Michelle Z.L. Kee, Ai Peng Tan, Evelyn C. Law, Patricia Pelufo Silveira, Irina Pokhvisneva, Sachin Patel, Keith M. Godfrey, Lourdes Mary Daniel, Kok Hian Tan, Yap Seng Chong, Shiao-Yng Chan, Johan G. Eriksson, Dennis Wang, Jonathan Yinhao Huang

“…Methods: In a longitudinal Singaporean mother-offspring cohort, we leveraged trans-ancestry polygenic predictions of body mass index (BMI) to interrogate the causal effects of early-life BMI on child language development and its effects on molecular and neuroimaging measures. …”
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Geological disaster risk assessment based on ecological niche model: A case study of Longhui County, Shaoyang City by Yun ZHANG, Feng ZI, Jiehua GUO, Yunjiang CAO, Jiuling DUAN, Zhigang GUO, Long TANG

“…The result show that the AUC value of the MaxEnt model in the hazard assessment is 0.918, indicating its strong applicability in predicting the geological disaster hazard risk in the study area. …”
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Design and Analysis of Floater Structures using Composite Material in 19 Seaters Aircraft by Andi Muhdiar Kadir, Arief Setyawan, Fithri Nur Purnamasari, Nurhadi Pramana, Muhammad, Ilham Akbar Adi Satriya, Riza Wirawan, Budi Sampurno

“…Floater structure modeling was conducted to predict its strength and weight. The modeling analysis results showed that the maximum stress was 354.2 MPa < 1014 MPa (material test result). …”
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Comparison of glimepiride and linagliptin in the treatment of non-alcoholic hepatic disease with type 2 diabetes mellitus by Feng Tian, Yali Guo, Liping Zhou, Qunying Yao, Xiaoyan Liang, Jiaxin Lu, Aiping He, Jie Shen

“…This study aimed to determine whether miR-210 can predict the effects of glimepiride and linagliptin on NAFLD with T2DM. …”
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Exploring the Mechanism of Skeletal Muscle in a Tacrolimus-Induced Posttransplantation Diabetes Mellitus Model on Gene Expression Profiles by Chenlei Zheng, Cheng Wang, Tan Zhang, Ding Li, Xiao-feng Ni, Jian-Hu Lin, Linxiao Sun, Bicheng Chen

“…We identified 275 DEGs and identified significant biomarkers for predicting the development and progression of tacrolimus-induced PTDM.…”
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Genomic patterns of strain-specific genetic structure, linkage, and selection across fall armyworm populations by Ashley E. Tessnow, Rodney N. Nagoshi, Robert L. Meagher, Todd M. Gilligan, Ben M. Sadd, Yves Carrière, Holly N. Davis, Shelby J. Fleischer, Kelly Richers, John C. Palumbo, Patrick Porter, Jose Carlos Verle Rodrigues, Gregory A. Sword

“…From mapping the development of resistance to monitoring and predicting pest movement, genomic tools can inform and enhance pest management programs. …”
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Exploring artificial intelligence for differentiating early syphilis from other skin lesions: a pilot study by Jiajun Sun, Yingping Li, Zhen Yu, Janet M. Towns, Nyi N. Soe, Phyu M. Latt, Lin Zhang, Zongyuan Ge, Christopher K. Fairley, Jason J. Ong, Lei Zhang

“…The SHAP analysis shows that the shape 2D sphericity was the most predictive radiomics feature for distinguishing early syphilis from other skin infections. …”
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Carbon finance for forest resilience in California by Micah Elias, Ethan Yackulic, Katharyn Duffy, Katharyn Duffy, Phil Saksa, Daniel L. Sanchez, Nicholas Pevzner, Spencer Plumb, Jillian Dyszynski, Carina Bracer

“…To reduce investor risk into nature-based solutions focused on increasing carbon stability in fire adapted forests and generate carbon revenue from fuel treatments, accurate predictive tools are needed. To maximize certainty of carbon benefits, landscape level treatments, DPBs, and ex-post carbon crediting will be critical. …”
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Preoperative mapping techniques for brain tumor surgery: a systematic review by Augusto Leone, Augusto Leone, Francesco Carbone, Francesco Carbone, Uwe Spetzger, Peter Vajkoczy, Giovanni Raffa, Flavio Angileri, Antonino Germanó, Melina Engelhardt, Thomas Picht, Thomas Picht, Antonio Colamaria, Tizian Rosenstock, Tizian Rosenstock

“…Repetitive nTMS speech mapping offers valuable negative predictive value, allowing clinicians to evaluate whether a patient should undergo awake or asleep surgery. …”
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Prospective study of change in liver function and fat in patients with colorectal liver metastases undergoing preoperative chemotherapy: protocol for the CLiFF Study by Katharine Cresswell, Juan W Valle, Michael Braun, Kat L Parmar, Derek O'Reilly, Jo H Naish, Steve R Williams, William K Lloyd, Lee Malcomson, Colin Bamford, Andrew G Renehan

“…Thus, there is a need to predict for this serious complication. Over the past two decades, several tests and derived indices have been developed, which have failed to achieve clinical utility, mainly as they were indirect measurements of liver function. …”
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Lnc-EST885 promotes hepatocellular carcinoma metastasis through PI3K / AKT pathway by interaction with TRAF4 by Shaoliang Zhu, Gang Wang, Yuxuan Zhang, Mengjie Zou, Zhi Li, Shenhong Qu, Xiaosu Zou, Wenqian Nong, Weiwei Miao, Qicong Chen, Juanmei Mo, Huibing Chen, Lequn Li, Xiaofeng Dong, Honglin Luo

“…Conclusion: lnc-EST885 plays a crucial role in the development of liver cancer, serving as a potential biomarker for predicting HCC prognosis and providing a new target for HCC treatment.…”
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Automatic etiological classification of stroke thrombus digital photographs using a deep learning model by Álvaro Lucero-Garófano, Álvaro Lucero-Garófano, Alicia Aliena-Valero, Isabel Vielba-Gómez, Isabel Vielba-Gómez, Irene Escudero-Martínez, Irene Escudero-Martínez, Lluís Morales-Caba, Lluís Morales-Caba, Fernando Aparici-Robles, Fernando Aparici-Robles, Diana L. Tarruella Hernández, Diana L. Tarruella Hernández, Gerardo Fortea, Gerardo Fortea, José I. Tembl, José I. Tembl, Juan B. Salom, Juan B. Salom, José V. Manjón

“…The metrics used were DICE coefficient for the segmentation network, and accuracy, precision, sensitivity, specificity and area under the curve (AUC) for the predictions of the classification network.ResultsA total of 166 patients (mean age 69 [SD, 13], 67 female) were included. …”
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Chemokine family significance and prognostic value in colorectal cancer by Yi Ding, Yi Ding, Yi Ding, Yinnan Chen, Yinnan Chen, Yinnan Chen, Siyun Xie, Quanpeng Qiu, Quanpeng Qiu, Xiaolong Guo, Yun Feng, Yun Feng, Hongxia Li, Hongxia Li, Fang Zhu, Yaping Liu, Yaping Liu, Yaping Liu

“…Validation against clinical metadata, executed through immunohistochemistry analysis, affirmed the relevance and accuracy of our model in predicting patient survival.ConclusionOur findings illuminate the critical role of chemokines in shaping the immune microenvironment of CRC, thereby highlighting potential therapeutic targets for future treatment strategies. …”
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Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography by Anh T. Tran, Dmitriy Desser, Tal Zeevi, Gaby Abou Karam, Julia Zietz, Andrea Dell’Orco, Min-Chiun Chen, Ajay Malhotra, Adnan I. Qureshi, Santosh B. Murthy, Shahram Majidi, Guido J. Falcone, Kevin N. Sheth, Jawed Nawabi, Seyedmehdi Payabvash

“…This threshold excluded 47–88% of test-negative predictions from expert review of automated segmentations for different HE definitions, with less than 2% false-negative misclassification in both internal and external validation cohorts. …”
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