Characterization and simulation of conglomerate reservoirs using core data of Triassic Baikouquan Formation, Mahu Depression by Xiangyang Li, Fengxia Li, Zhiwen Huang, Hancheng Ji, Haibo Wang, Liang Chen, Zhonghao Zhang, Xukai Shi

“…The results reveal that certain lithofacies types correlate strongly with higher fracturing success, providing insights that can guide more efficient hydraulic fracturing practices. By addressing the challenge of heterogeneity of the structure and composition in conglomerate reservoirs, this study offers a comprehensive framework for selecting optimal target intervals for hydraulic fracturing, which can significantly enhance hydrocarbon exploration and production strategies. …”
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Screening the Global Health Priority Box against Plasmodium berghei liver stage parasites using an inexpensive luciferase detection protocol by Gia-Bao Nguyen, Caitlin A. Cooper, Olivia McWhorter, Ritu Sharma, Anne Elliot, Anthony Ruberto, Rafael Freitas, Ashutosh K. Pathak, Dennis E. Kyle, Steven P. Maher

“…While blood stage screening assays are routine and efficient, liver stage screening assays are more complex and costly. …”
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Characteristics and prediction methods of coal spontaneous combustion for deep coal mining in the Ximeng mining area by Li MA, Wenbo GAO, Longlong TUO, Pengyu ZHANG, Zhou ZHENG, Ruizhi GUO

“…Objective The mining of deep coal seams in the Ximeng mining area within the Ordos Basin is subjected to complex environmental conditions like high in-situ stress, large water inflow, and severe air leakage, which lead to the encountered with elevated risks and difficult prediction of coal spontaneous combustion and posing challenges in predicting spontaneous combustion. …”
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Mechanisms of Low Temperature Thickening of Different Materials for Deepwater Water-Based Drilling Fluids by Zhongyi Wang, Jinsheng Sun, Kaihe Lv, Xianbin Huang, Zhenhang Yuan, Yang Zhang

“…As a coarse dispersion system, water-based drilling fluid has a complex composition of dispersed phase and dispersing medium. …”
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Investigation of high fecundity genes by nanopore sequencing in sheep (Ovis aries) pituitary by Xue Xiao, Zhibin Ji, Tong Wang, Dejie Zhu, Zhonghui Li, Xinming Xu, Fen Li

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Integration of ordered porous materials for targeted three-component gas separation by Xue Jiang, Yu Wang, Hui Wang, Lu Cheng, Jian-Wei Cao, Jin-Bo Wang, Rong Yang, Dong-Hui Zhang, Run-Ye Zhang, Xiu-Bo Yang, Su-Hang Wang, Qiu-Yu Zhang, Kai-Jie Chen

“…As a proof of concept, two ultramicroporous nanocrystals (one for C2H2-selective and the other for CO2-selective) as the shell pores were respectively grown on a C2H6-selective ordered porous material as the core pore. …”
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TheraVision: Engineering platform technology for the development of oncolytic viruses based on herpes simplex virus type 1 by Christina Funk, Nadja Uhlig, Zsolt Ruzsics, Florentin Baur, Matthias Peindl, Sarah Nietzer, Karina Epting, Gabriele Vacun, Gudrun Dandekar, Catherine Botteron, Christian Werno, Thomas Grunwald, Susanne M. Bailer

“…Viruses are able to efficiently penetrate cells, multiply, and eventually kill infected cells, release tumor antigens, and activate the immune system. …”
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Surveillance via wastewater monitoring and nasal self-collection of specimens (The SWANSS Study): a CFIR-informed qualitative study with key carceral and healthcare stakeholders by Kyler N. Moore, Patrick M. Bircher, Emily A. Ogutu, Shanika S. Kennedy, Victoria M. Brown, Matthew C. Freeman, Victoria L. Phillips, Anne C. Spaulding, Matthew J. Akiyama

“…We used Applied Thematic Analysis to identify domains within CFIR reflecting barriers and facilitators to WBS combined with NST in large urban jail settings. …”
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Inter-layer multi-material powder bed fusion additive manufacturing of a chainmail-like 3D interlocking bonding structure by Zixiong Lin, Hongchun Wu, Zheng Zhang, Jianghong Huang, Wenxiong Lin, Hailong Shao, Jinni Shen, Yuchao Wang, Fengyi Zhang, Mingsong Zheng, Shoufeng Yang

“…The composite exhibits numerous 100-μm-scale structural features, reflecting cross-scale complexity, enhanced precision, and advanced manufacturing capabilities. …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The superior performance of ANN is attributed to its ability to model complex, non-linear interactions among variables influencing soil erodibility. …”
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Construction and validation of a predictive model for the risk of malnutrition in hospitalized patients over 65 years of age with malignant tumours: a single-centre retrospective c... by Xuexing Wang, Jie Chu, Chunmei Wei, Jinsong Xu, Yuan He, Chunmei Chen

“…Background Nutritional status is a critical indicator of overall health in individuals suffering from malignant tumours, reflecting the complex interplay of various contributing factors. …”
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Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data by Mazin Al-Mahrouqi, Abdollah Shafieezadeh, Jieun Hur, Jae-Wook Jung, Jeong-Gon Ha, Daegi Hahm

“…Additionally, we develop an advanced active learning framework that efficiently selects the most relevant instances from large, imbalanced datasets for model training. …”
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Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data by Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson

“…In this work, we present a case study from the Galaxy Zoo: Weird & Wonderful project, where volunteers inspected ~200,000 astronomical images—processed by an ML-based anomaly detection model—to identify those with unusual or interesting characteristics. Volunteer-selected images with common astrophysical characteristics had higher consensus, while rarer or more complex ones had lower consensus. …”
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Accelerated carbonate weathering by immobilized recombinant carbonic anhydrase by Io Antonopoulou, Ayanne de Oliveira Maciel, Marikagiusy Di Giacomo, Maria Elena Russo, Ulrika Rova, Paul Christakopoulos, Piero Salatino, Antonio Marzocchella

“…CA immobilization could offer a mitigation strategy for the non-selective adsorption of the free enzyme on lime mud particles during the CO2 capturing reaction. …”
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Evaluating N₂O emissions and carbon sequestration in temperate croplands with cover crops: insights from field trials by V. Nasser, R. Dechow, M. Helfrich, A. Meijide, P. S. Rummel, P. S. Rummel, H.-J. Koch, R. Ruser, L. Essich, K. Dittert

“…Yet, their influence on nitrous oxide (<span class="inline-formula">N₂O</span>) emissions – a potent greenhouse gas – presents a complex challenge, with findings varying across different studies. …”
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The large language model diagnoses tuberculous pleural effusion in pleural effusion patients through clinical feature landscapes by Chaoling Wu, Wanyi Liu, Pengfei Mei, Yunyun Liu, Jian Cai, Lu Liu, Juan Wang, Xuefeng Ling, Mingxue Wang, Yuanyuan Cheng, Manbi He, Qin He, Qi He, Xiaoliang Yuan, Jianlin Tong

“…By highlighting the advantages of LLMs in handling complex clinical data, identifying interrelationships between features, and improving diagnostic accuracy, this study seeks to provide a more efficient and precise solution for the early diagnosis of TPE. …”
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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…The study also highlighted the superior ability of tree-based models to capture the complex, non-linear relationships between variables that impact recovery in SCI patients.DiscussionThis research underscores the potential of machine learning models to enhance the accuracy of outcome predictions in SCI rehabilitation. …”
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Remediation of Hg-Contaminated Groundwater via Adsorption on Supramolecular Polymers in Batch Process and Column Test by Zongwu Wang, Wei Liu, Xiaoyan Sun, Qing Zhang, Jiapu Ji, Yimeng Yan, Jianhui Sun

“…The batch test study demonstrated that the SP can efficiently adsorb Hg from groundwater with superior selectivity and a high uptake capacity (up to 926.1 ± 165.3 mg g⁻¹). …”
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Risk barriers and sustainability in payment for ecosystem service implementation in smallholder forestry by A. Ibrahim, S. Withaningsih, R. Kinseng, Parikesit ., D. Muhamad

“…The importance of reliable data is emphasized by technical hurdles like accurate measurement of ecosystem services and monitoring complexities, necessitating innovative solutions and robust methodologies. …”
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NMR Relaxation to Probe Zeolites: Mobility of Adsorbed Molecules, Surface Acidity, Pore Size Distribution and Connectivity by Marina G. Shelyapina

“…Recent studies have shown that mesoporosity is beneficial to the rational design of catalysts with controlled product selectivity and an improved catalyst lifetime due to its efficient mass-transport properties. …”
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