Reshaping lipid metabolism with long-term alternate day feeding in type 2 diabetes mice by Eleni Beli, Yuanqing Yan, Leni Moldovan, Todd A. Lydic, Preethi Krishman, Sarah A. Tersey, Yaqian Duan, Tatiana E. Salazar, James M. Dominguez, Dung V. Nguyen, Abigail Cox, Sergio Li Calzi, Craig Beam, Raghavendra G. Mirmira, Carmella Evans-Molina, Julia V. Busik, Maria B. Grant

“…Microbiome studies and predicted functional analysis of gut microbiota showed that IF increased beneficial bacteria involved in sphingolipid (SL) metabolism. …”
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The combined effectiveness of acoustic indices in measuring bird species richness in biodiverse sites in Cyprus, China, and Australia by Christos Mammides, Pan Wuyuan, Guohualing Huang, Rachakonda Sreekar, Christina Ieronymidou, Aiwu Jiang, Eben Goodale, Harris Papadopoulos

“…Combining the indices has been proposed as a solution to produce more accurate predictions. In this study, we use data from 114 biodiverse sites in three countries, Cyprus, China, and Australia, to evaluate the combined effectiveness of sixty different acoustic indices in measuring bird species richness. …”
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Neutralizing antibody immune correlates in COVAIL trial recipients of an mRNA second COVID-19 vaccine boost by Bo Zhang, Youyi Fong, Lauren Dang, Jonathan Fintzi, Shiyu Chen, Jing Wang, Nadine G. Rouphael, Angela R. Branche, David J. Diemert, Ann R. Falsey, Daniel S. Graciaa, Lindsey R. Baden, Sharon E. Frey, Jennifer A. Whitaker, Susan J. Little, Satoshi Kamidani, Emmanuel B. Walter, Richard M. Novak, Richard Rupp, Lisa A. Jackson, Chenchen Yu, Craig A. Magaret, Cindy Molitor, Bhavesh Borate, Sydney Busch, David Benkeser, Antonia Netzl, Derek J. Smith, Tara M. Babu, Angelica C. Kottkamp, Anne F. Luetkemeyer, Lilly C. Immergluck, Rachel M. Presti, Martín Bäcker, Patricia L. Winokur, Siham M. Mahgoub, Paul A. Goepfert, Dahlene N. Fusco, Robert L. Atmar, Christine M. Posavad, Jinjian Mu, Mat Makowski, Mamodikoe K. Makhene, Seema U. Nayak, Paul C. Roberts, Peter B. Gilbert, Dean Follmann, Coronavirus Variant Immunologic Landscape Trial (COVAIL) Study Team

“…Consistently across the Moderna and Pfizer-BioNTech vaccine platforms and across all variant Spike inserts assessed, both peak and exposure-proximal (“predicted-at-exposure”) titers correlated with lower Omicron COVID-19 risk in individuals previously infected with SARS-CoV-2, albeit significantly less so in naïve individuals [e.g., exposure-proximal hazard ratio per 10-fold increase in BA.1 titer 0.74 (95% CI 0.59, 0.94) for naïve vs. 0.41 (95% CI 0.23, 0.64) for non-naïve; interaction p = 0.013]. …”
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Development and Validation of LAMP Assays for Distinguishing MPXV Clades with Fluorescent and Colorimetric Readouts by Nazente Atceken, Sara Asghari Dilmani, Ahmed Choukri Abdullah, Mutlu Sarıkaya, Defne Yigci, Gozde Korkmaz, Savas Tasoglu

“…Clade-I has been associated with more severe disease progression and higher mortality compared to Clade-II, and thus the differentiation between clades can play an important role in predicting disease prognosis. The LAMP technique has the advantages of not requiring thermal cycling and achieving higher amplification in a shorter time compared to qPCR. …”
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Immune system effectors as biomarkers of prognosis after acute burns in a case-control study by Alejandro Ferrari, Lorena Di Croce, Sabrina Saavedra, Marisel Hartwig, Omar Perrone, María Alejandra Guzmán

“…Patients in the deceased group (DG) showed lower initial IgG levels (p < 0.05) than patients in the survivor group (SG), with a negative predictive value (NPV) of 0.86, and this difference persisted during the hospitalization period. …”
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A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi, Mohammad Alibakhshikenari

“…Unlike traditional approaches, XIoT emphasizes interpretability by integrating explainable AI mechanisms, enabling cybersecurity analysts to understand and trust its predictions. By offering actionable insights into the factors driving its decision making, XIoT supports informed responses to cyber threats. …”
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High peripheral T cell diversity is associated with lower risk of toxicity and superior response to dual immune checkpoint inhibitor therapy in patients with metastatic NSCLC by Alexandre Reuben, Mehmet Altan, Latasha Little, Jianjun Zhang, Ajay Sheshadri, Hai T Tran, Mara B Antonoff, Stephen G Swisher, John V Heymach, Saumil Gandhi, Natalie Vokes, Ziyi Li, Ruoxing Li, Runzhe Chen, Joshua Baguley, Jefferson Sinson, Greg Lizee

“…Introduction Despite significant successes, immune checkpoint blockade fails to achieve clinical responses in a significant proportion of patients, predictive markers for responses are imperfect and immune-related adverse events (irAEs) are unpredictable. …”
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Discovery of the bacterial HslV protease activators as lead molecules with novel mode of action by Aurangzeb Sana, Aurongzeb Muhammad, Shamim Shahbaz, Rashid Yasmeen, Khan Khalid Mohammed, Aziz Tariq, Alharbi Metab, Alasmari Abdullah F.

“…Normal mode analysis investigations provided additional confirmation regarding the stability of the conformational interactions between the HslV protease and the active compounds. In addition, the predicted absorption, distribution, metabolism, excretion, and toxicity properties of these lead compounds remarkably demonstrated their considerable drug-like and non-toxic qualities. …”
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Association between Clinical Characteristics and Laboratory Findings with Outcome of Hospitalized COVID-19 Patients: A Report from Northeast Iran by Sahar Sobhani, Reihaneh Aryan, Elham Kalantari, Salman Soltani, Nafise Malek, Parisa Pirzadeh, Amir Yarahmadi, Atena Aghaee

“…Evaluating clinical and laboratory features can help clinicians find ways for risk stratifying patients and even make predictive tools. Chest pain, decreased level of consciousness, dyspnea, and increased CRP and WBC levels seem to be the most potent predictors of severe prognosis.…”
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A comprehensive analysis of the uterine microbiome in endometrial cancer patients - identification of Anaerococcus as a potential biomarker and carcinogenic cofactor by Olga Kuźmycz, Aleksandra Kowalczyk, Aleksandra Bolanowska, Anna Drozdzowska, Jakub Lach, Jakub Lach, Wiktoria Wierzbińska, Wiktoria Wierzbińska, Tomasz Kluz, Tomasz Kluz, Paweł Stączek

“…Anaerococcus was identified as a key taxon differentiating EC from EM groups, showing a higher relative abundance in EC samples. Functional predictions and in vitro assays indicated that Anaerococcus may contribute to carcinogenesis by inducing reactive oxygen species (ROS) production, and has the high ability to adhere to the human endometrial fibroblasts.DiscussionThe study provides evidence of distinct microbial signatures in EC, with Anaerococcus emerging as a potential biomarker. …”
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The CHK1 inhibitor prexasertib in BRCA wild-type platinum-resistant recurrent high-grade serous ovarian carcinoma: a phase 2 trial by Elena Giudice, Tzu-Ting Huang, Jayakumar R. Nair, Grant Zurcher, Ann McCoy, Darryl Nousome, Marc R. Radke, Elizabeth M. Swisher, Stanley Lipkowitz, Kristen Ibanez, Duncan Donohue, Tyler Malys, Min-Jung Lee, Bernadette Redd, Elliot Levy, Shraddha Rastogi, Nahoko Sato, Jane B. Trepel, Jung-Min Lee

“…Therefore, POLA1 expression may be predictive for CHK1i resistance, and the concurrent POLA1 inhibition may improve the efficacy of CHK1i monotherapy in this hard-to-treat population, deserving further investigation.…”
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Improving prognostic evaluations in patients with stage IIIb light chain cardiac amyloidosis: role of haemodynamic parameters by Jingyi Li, Yang Lu, Xiqi Xu, Zhuang Tian, Jian Li, Shuyang Zhang

“…Conclusions In stage IIIb AL-CA patients, the PAWP/CI ratio, which surpasses traditional haemodynamic indicators, significantly predicts all-cause mortality, emphasizing its prognostic value. …”
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Taenia crassiceps-Excreted/Secreted Products Induce a Defined MicroRNA Profile that Modulates Inflammatory Properties of Macrophages by Diana Martínez-Saucedo, Juan de Dios Ruíz-Rosado, César Terrazas, Blanca E. Callejas, Abhay R. Satoskar, Santiago Partida-Sánchez, Luis I. Terrazas

“…Moreover, we found that TcES induced upregulation of specific microRNAs, including miR-125a-5p, miR-762, and miR-484, which are predicted to target canonical inflammatory molecules and pathways in LPS-induced BMDM. …”
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Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature by Ahmad M.A. Malkawi, Zuhour A.B. Alsaqqa, Tareq O. Al-Mosa, Wa'el M. JadAllah, Mohannad M.H. Sadeddin, Ayman Al-Quraan, Mohammad AlMashagbeh

“…This paper presents an artificial neural network-based maximum power point tracking (MPPT) method. Where dual ANNs predict solar irradiance and temperature. Next, an adaptive computation block determines the maximum power point (MPP). …”
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Chromogranin A: From Laboratory to Clinical Aspects of Patients with Neuroendocrine Tumors by Paola Di Giacinto, Francesca Rota, Laura Rizza, Davide Campana, Andrea Isidori, Andrea Lania, Andrea Lenzi, Paolo Zuppi, Roberto Baldelli

“…Chromogranin A is currently the most useful biomarker to establish diagnosis and has some utility in predicting disease recurrence, outcome, and efficacy of therapy.…”
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An automated information extraction model for unstructured discharge letters using large language models and GPT-4 by Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch

“…With prompt fine-tuning in the second experiment, the primary diagnoses, secondary diagnoses, and medications could be predicted with 95%, 88.9%, and 92.2% accuracy, respectively. …”
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Detection of genetic sex using a qPCR-based method in the bigfin reef squid (Sepioteuthis lessoniana) by Yi-Chien Lee, Li-Lun Tang, Yu-Chen Yeh, Hau-Wen Li, Huei-Mien Ke, Cheng-Ju Yang, Chun-I Chiang, Chia-Hui Wang, Yung-Che Tseng, Ching-Fong Chang, Isheng Jason Tsai, Guan-Chung Wu

“…Among the primer pairs designed for qPCR, two primer pairs in Z-specific regions and one primer pair in autosomal region exhibited a single melting curve (indicating the predicted same fragment) across all lineages. This genetic sexing method was validated in samples from different populations across Taiwan, demonstrating its effectiveness in determining the genetic sex of bigfin reef squid. …”
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Dual-positive gastric cancer: an extremely malignant subtype of gastric cancer with high serum alpha-fetoprotein and carcinoembryonic antigen concentrations by Weixun Xie, Chengyu Hu, Hongming Liu, Zelai Wu, Bixian Luo, Xiaoying Wu, Xiaoying Wu, Chuanlei Tuo, Ziyin Deng, Han Liang, Yong Liu, Weihua Gong, Weihua Gong

“…BackgroundAlpha-fetoprotein-producing gastric cancer (AFPGC) is a highly malignant subtype of gastric cancer, but solely alpha-fetoprotein may fail to accurately predict the prognosis. Although the utilization of multi tumor markers could improve stratified patient management, such research in AFPGC is still blank. …”
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Assessing the establishment risk for parthenogenetic populations of Lissorhoptrus oryzophilus in global rice-growing areas and potential economic impact in China by Luoyuan Li, Luoyuan Li, Zhenan Jin, Ming Li, Yantao Xue, Jianyang Guo, Dong Jia, Ruiyan Ma, Zhichuang Lü, Xiaoqing Xian, Wanxue Liu

“…We applied an optimized MaxEnt model to predict the global suitable areas of the populations under current and future climate scenarios. …”
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Adsorption isotherms in roasted specialty coffee (Coffea arabica L.): Dataset and statistical tools for optimizing storage conditions and enhancing shelf lifeMendeley Data by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…The dataset also provides two calibrated sorption models: Peleg and Double Logarithm Polynomial (DLP), which are highly suitable for practical applications, allowing users to predict the equilibrium moisture content of coffee as a function of water activity, temperature, and coffee type (whole beans or ground coffee). …”
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