Spatial and temporal variation of Antarctic microbial interactions: a study around the west Antarctic Peninsula by Swan L. S. Sow, Willem H. van de Poll, Rachel Eveleth, Jeremy J. Rich, Hugh W. Ducklow, Patrick D. Rozema, Catherine M. Luria, Henk Bolhuis, Michael P. Meredith, Linda A. Amaral-Zettler, Julia C. Engelmann

“…Results We report on the seasonal diversity, taxonomic overview, as well as predicted inter-and intra-domain causal effects (interactions) of the bacterial and microbial eukaryotic communities close to the Palmer station and at the Rothera time-series site between July 2013 and April 2014. …”
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Optimization of industrial symbiosis in coffee-based eco-industrial park design by N. Laili, T. Djatna, N.S. Indrasti, M. Yani

“…The utilization of data integration enhances the transparency and efficiency of information exchange among eco-industrial park participants, promoting predictability and reliability in material exchange. The application of the mixed-integer linear programming optimization model has provided a structured approach to maximizing the value creation within the eco-industrial park through the valorization of 72.3 percent of coffee pulp and 68.5 percent of spent coffee grounds into cellulase enzymes and ultraviolet shields.CONCLUSION: This paper presents a structured framework for efficiently managing material exchange processes within an eco-industrial park, contributing to environmental sustainability and economic value creation. …”
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Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain by Rizky Adinda Azizah, Fitra Bachtiar, Sigit Adinugroho

“…Neighbor Weighted K-Nearest Neighbor algorithm with Information Gain method will be applied to this study to help predict student performance. NWKNN method has advantages in calculating the weight of classes and overcoming unbalanced data. …”
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Novel pyroptosis-immune-related lncRNA signature exhibits a distinct immune cell infiltration landscape in breast cancer by Dedi Kong, Dedi Kong, Hongju Cheng, Meihong Wang

“…Single-cell sequencing data from GSE176078 showed sparse T cell, B cell, myeloid, and plasmablast clusters in the HR group, whereas the LR group displayed significant clustering of B cells, myeloids, and plasmablasts.ConclusionThe six-lncRNA pyroptosis-immune signature effectively predicted BC prognosis and highlighted distinct immune cell infiltration patterns. …”
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Implementasi Algoritma Fuzzi Mamdani pada Sistem Pakar Menggunakan Software Aplikasi Matlab R2007B, Studi Kasus: Tanaman Hidroponik Selada Air by Okta Purnawirawan, Tri Afirianto

“…These factors are used as masukan data variables for expert systems to predict the level of plant growth and development values. …”
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HISTORIOGRAPHY OF THE STUDY OF STATE PRACTICES AND THE JUDICIARY OF SOUTHERN UKRAINIAN TERRITORIES: GENERAL CHARACTERISTICS by Oleg Vuyiv, Maryna Bulkat

“…Such a methodological approach to the expansion of historiographical horizons is predicted to contribute to the renewal of the subject of historical-legal and other branch studies, which until now has been focused on the study of state practices and judicial bodies of the imperial period, and later – the period of Soviet occupation; popularization of objective scientific knowledge about the history of the Ukrainian law, state and judiciary; the role of the experience of southern Ukrainian territories in their formation.…”
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Geriatric nutritional risk index as a predictor of 30-day and 365-day mortality in patients with acute myocardial infarction: a retrospective cohort study using the MIMIC-IV databa... by Xiaolong Zheng, Xiaolong Zheng, Xin Zheng, Xin Zheng, Changgui Zhang, Minghua Liu

“…A landmark analysis at 20 days after admission further demonstrated the impact of GNRI on mortality during different phases of recovery.ConclusionThis study highlights the prognostic value of GNRI in predicting short-term and long-term mortality in AMI patients, emphasizing the significance of nutritional status and inflammatory indicators in the therapy and risk assessment of these individuals.…”
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Wetland degradation monitoring using multi-temporal remote sensing data and watershed land degradation index by I. Ridwan, S. Kadir, N. Nurlina

“…(d) land degradation index can be used in a wide variety of contexts, which also accounts for the provision of quantitative predictions with regard to the possibility of land degradation. …”
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Factors affecting quality of life in women post mastectomy for breast cancer in Baheya Foundation (Egypt): ‘A retrospective cohort study’ by Salsabil Mohammed Abdelrahman, Maher Hassan Ibraheem, Hemat Allam, Vikash Sewram

“…Generalized linear models were used to predict QoL measures (outcome) by sociodemographic and clinical variables (independent) with adjusting for potential confounders. …”
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Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development by Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

“…This integration sought to assess the incremental value of clinical data. The model’s predictive mechanisms were explored through correlation analyses with endocrine indicators and stratified evaluations based on the degree of hypothalamic-pituitary-target axis damage. …”
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Policies Affecting the Efficiency of Beef Production in Alberta: A Supply Chain Analysis by Derek Brewin

“…., fostering good trade relations in Asia and Africa is vital, given the growth in incomes and consumer demand for beef that is predicted for those regions. Free trade is the basis of good agriculture policy and any move towards protectionist policies and higher tariffs is the biggest threat for new costs in the supply chain. …”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

“…Further analyses are in progress to identify predictive factors (e.g. familiarity with humans, age, motivation and frustration during the game) that could explain away inter-individual differences, thus eventually revealing (or not) inter‑species differences [Authors Aurore San‑Galli and Marie Devaine contributed equally to this work].…”
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When can cancer patient treatment nonadherence be considered intentional or unintentional? A scoping review. by Leon Wreyford, Raj Gururajan, Xujuan Zhou

“…This knowledge can help define when treatment nonadherence is intentional or unintentional and can assist in predicting cancer patients at risk of nonadherence and in intervention design. …”
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Animal experiments and network pharmacology to explore the anti-inflammatory mechanism of dapagliflozin in the treatment of polycystic ovary syndrome by Yong Liu, He Bai, Huilin Guan, Chunhua Wang, Xueqing Song, Zihao Yong, Xiaomeng Guo, Luxin Li, Zhen Zhang

“…Network pharmacology was used to predict the inflammatory targets and pathways affected by dapagliflozin in treating PCOS, and the potential interactions between dapagliflozin and inflammation-related target proteins were evaluated through molecular docking.Results Our results demonstrated that dapagliflozin treatment significantly improved PCOS symptoms, recovered ovarian morphology and physiological functions, and reduced the apoptosis of ovarian cells after drug intervention. …”
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Outcome of Selective Laser Trabeculoplasty in Young Patients with Primary Open-Angle Glaucoma and Ocular Hypertension by Dan Liu, Di Chen, Qian Tan, Xiaobo Xia, Haibo Jiang, Jian Jiang

“…In this study, SLT was found as an effective and safe treatment for young patients with POAG and OHT. High baseline IOP predicted high SLT success.…”
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Multimodal Magnetic Resonance Findings in Parkinson’s Disease With “Antecedent Essential Tremor”: A Case Series of a Large Kindred by Kong Y, Yao L, Xiao X, Chen A, Wang K, Yan H, Sun R, Liu R, Kong Q

“…Early diagnosis and differentiation of the two are essential for predicting disease progression and formulating individualized treatment plans. …”
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POVEIKIS IR ATSAKAS BIOLOGINIUOSE VYKSMUOSE by Jonas Rubikas

“…From this point of view the belief, miracles, predictions and other spiritual events can be considered as further conditionalities. …”
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Combinatorial functionomics identifies HDAC6-dependent molecular vulnerability of radioresistant head and neck cancer by Sharon Pei Yi Chan, Celestia Pei Xuan Yeo, Boon Hao Hong, Evelyn Mui Cheng Tan, Chaw Yee Beh, Eugenia Li Ling Yeo, Dennis Jun Jie Poon, Pek Lim Chu, Khee Chee Soo, Melvin Lee Kiang Chua, Edward Kai-Hua Chow

“…From two independent patient cohorts, we identified a four-gene signature that may have discriminative ability to predict for radioresistance and amenable to HDAC6 inhibition. …”
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Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan by Anas Mohamed Abaker Babai, Olugbenga Ajayi Ehinola, Omer.I.M. Fadul Abul Gebbayin, Mohammed Abdalla Elsharif Ibrahim

“…Random Forest (RF) and Gradient Boosting (GB) are highly effective for facies classification because they handle complex relationships and provide high predictive accuracy. The choice between the two depends on specific project requirements, including interpretability, computational resources, and data nature.…”
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Tracking hydrothermal infiltration within light oil reservoirs using organic geochemical proxies in the Shunbei area of Tarim Basin in China by Jian Gao, Shaojie Li, Huan Li, Zicheng Cao, Huili Li, Feng Geng, Jun Han, Cheng Huang

“…Understanding the interplay between hydrothermal fluids and crude oils would provide useful constraints for reconstructing hydrocarbon accumulation processes and predicting the distribution patterns of crude oils. …”
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