Endoscopic Biopsy in Differential Diagnosis of Colorectal Serrated Lesions by K. D. Khalin, M. Yu. Agapov, L. V. Zvereva, K. V. Stegniy

“…Preoperative forceps biopsy is shown to possess low sensitivity in differential diagnosis of serrated colorectal lesions and very low sensitivity to predict malignant serrated adenomas.…”
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Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review by Karel G M Moons, Marc J M Bonten, Maaike S M van Mourik, Pleun Joppe van Duijn, Grace M Lee

“…Observed sensitivity and positive predictive values of administrative data algorithms for HAI detection were very heterogeneous and generally modest at best, both for within-hospital algorithms and for formal quality indicators; accuracy was particularly poor for the identification of device-associated HAI such as central line associated bloodstream infections. …”
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Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions by Qingchun Guo, Zhenfang He, Shanshan Li, Xinzhou Li, Jingjing Meng, Zhanfang Hou, Jiazhen Liu, Yongjin Chen

“…Additionally, the API could be accurately predicted based solely on the value recorded 3 days earlier. …”
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Driving sustainable energy transition: Understanding residential rooftop solar photovoltaic adoption in Malaysia through a behavioural analysis by Sook-Theng Lam, Kian-Meng Yap, Keat-Hoe Yeoh

“…Findings from SEM indicate that Performance Expectancy (PE, β = 0.311, p < 0.001), Price Value (PV, β = 0.245, p = 0.006), Facilitating Conditions (FC, β = 0.311, p < 0.001) and Environmental Concern (EC, β = 0.253, p < 0.001) significantly predict Behavioral Intention (BI) to adopt rooftop solar PV systems. …”
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On the time spent preparing grant proposals: an observational study of Australian researchers by Nicholas Graves, Adrian G Barnett, Philip Clarke, Danielle L Herbert

“…Objective To estimate the time spent by the researchers for preparing grant proposals, and to examine whether spending more time increase the chances of success.Design Observational study.Setting The National Health and Medical Research Council (NHMRC) of Australia.Participants Researchers who submitted one or more NHMRC Project Grant proposals in March 2012.Main outcome measures Total researcher time spent preparing proposals; funding success as predicted by the time spent.Results The NHMRC received 3727 proposals of which 3570 were reviewed and 731 (21%) were funded. …”
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Multi-objective optimization of SUS430C steel turning process using hybrid machine learning and evolutionary algorithm approach by Nguyen Van-Canh, Nguyen Anh-Thang, Pham Ngoc-Linh, Nguyen Thuy-Duong

“…A hybrid approach combining Extreme Gradient Boosting (XGBoost) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) was employed to optimize three critical machining objectives: surface roughness (Ra), material removal rate (MRR), and tool wear (Vb). The predictive capability of XGBoost models was validated using experimental data from a Box-Behnken design, achieving high accuracy with R2 values exceeding 0.93 across all performance metrics. …”
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Hunting for Cold Exoplanets via Microlensing by Beaulieu, Jean-Philippe

“…It is the only method currently probing exoplanets in the Earth-Saturn mass range beyond the snow line, where the core accretion theory originally predicted that most massive planets would form. Although the number of detected planets is relatively modest ($\sim $130 planets to date) compared to that discovered by radial velocity and transit methods, microlensing probes a part of the parameter space (host separation as a function of planet mass), which is mostly not accessible in the medium term to any other technique. …”
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Single treatment selective laser trabeculoplasty in a Southern African resource-constrained context by Emma J. Pons, Jonathan J. Pons, Elly S. Grossman, Daniel Louw, Merle Werbeloff

“…Neither cup-disc ratio nor pre-treatment intraocular pressure were found to be a predictive factor of treatment success or failure (p = 0.675 and p = 0.128). …”
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Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset by Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, Ida Mohammadi, Mohammad Hossein Mahmoudi, Mehran Sarmadi, Arman Shafiee

“…Feature reduction experiments showed promising results without significant loss in predictive performance. Our findings demonstrate the potential diagnosis ability of ML algorithms, particularly SVM and ADA, in asthma diagnosis by incorporating diverse clinical and demographic factors. …”
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Coronectomy versus total odontectomy of impacted lower third molars with close relation tothe inferior alveolar canal: An open clinical trial. by Hundren Muhammad, Rozh Mumtaz, Dilman Najmaddin, Omed Ikram

“…Conclusion:  Coronectomy is a predictable way to preserve IAN in cases with intimate relationship between the inferior alveolar nerve and symptomatic impacted wisdom tooth, where high risk of IAN injury is suspected. …”
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Thermal and structural effects of amino acids on the interactions of thiamine hydrochloride with water by Khitismita Prusty, Prativa Kar, Braja B. Nanda, Binita Nanda

“…From the values of group contribution, we can predict that the Vϕ0, of l-valine > glycine in the said solutions.…”
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Investigating factors influencing utilization of trauma-focused cognitive behavioral therapy among unaccompanied young refugees: an exploratory analysis by Barbara Kasparik, Madina Farani, Elisa Pfeiffer, Cedric Sachser, Rita Rosner

“…Binomial logistic regression was performed to identify factors predicting the likelihood of intention to seek MHC. …”
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Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma by Rimbaud, Loup, Papaïx, Julien, Rey, Jean-François, Moury, Benoît, Barrett, Luke G., Thrall, Peter H.

“…However, by allowing some ‘leaky’ levels of disease, APR genes are predicted to be more durable than major genes because they exert a weaker selection pressure on pathogens towards adaptation to resistance. …”
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Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations by Deere, Jacques A., Smallegange, Isabel M.

“…Here, we tested, in a long-term population experiment using the male polyphenic bulb mite (Rhizoglyphus robini), if the selective harvesting of juveniles of different developmental stages concurrently alters population size (ecological response) and male adult phenotype expression (evolutionary response) in line with eco-evolutionary predictions that assume the male polyphenism is anticipatory or mitigating. …”
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Identification of cuproptosis and ferroptosis-related subtypes and development of a prognostic signature in colon cancer. by Yinghao He, Fuqiang Liu, Qingshu Li, Zheng Jiang

“…To enhance its clinical utility, we evaluated the clinical significance of the model and constructed a nomogram, significantly improving the predictive ability of the model and providing a new tool for prognostic assessment of colon cancer patients. …”
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Deviation from the balanced time perspective and depression and anxiety symptoms: the mediating roles of cognitive-behavioral emotion regulation in a cross-cultural model by Hamed Abdollahpour Ranjbar, Hamed Abdollahpour Ranjbar, Ayse Altan-Atalay, Mojtaba Habibi Asgarabad, Bulent Turan, Mehmet Eskin

“…Additionally, multigroup analyses suggested that these mediating effects were consistent across Iranian and Turkish samples, with exceptions in adaptive cognitive ER strategies.ConclusionThe study highlights the crucial role of TPs and ER strategies in predicting anxiety and depression symptoms, with notable cultural nuances. …”
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Evaluation of Prevalence and Risk Factors for Postpartum Depression Using the Edinburgh Postpartum Depression Scale: A Cross-Sectional Analytic Study by Gaye Kahveci, Bekir Kahveci, Hamza Aslanhan, Pakize Gamze Erten Bucaktepe

“…Therefore, it is important to determine highly predictable risk factors using a scale (e.g. EPDS) for early diagnosis and timely treatment of symptoms. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…They serve as a decision support system, partially automating the diagnosis process by providing probability predictions for abnormalities. Methods: We demonstrated the use of deep learning models in CE image analysis, specifically by piloting a bowel preparation model (BPM) and an abnormality detection model (ADM) to determine frame-level view quality and the presence of abnormal findings, respectively. …”
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Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

“…While automation significantly reduces manual workload, human verification remains critical for refining AI predictions and addressing false positives. This study also applies different expert validation workflows, emphasizing their efficiency and adaptability to regional differences. …”
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The Relationship between Landing Error Scoring System Performance and Injury in Female Collegiate Athletes by Peter Lisman, Joshua N. Wilder, Joshua Berenbach, Enric Jiao, Bethany Hansberger

“…A Receiver Operating Characteristic curve determined the optimal cutpoint for the total LESS score for predicting injury. Pearson’s Chi squared statistics examined the association between injury and LESS total scores >5. …”
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