Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset by Ayoob Mohamed, Nettasinghe Oshan, Sylvester Vithushan, Bowala Helmini, Mohideen Hamdaan

“…Furthermore, we leverage Grad-CAM, and Feature Ablation, explainable AI techniques, to visualise the regions of interest guiding the model predictions for a target class. This integration enhances interpretability, allowing us to gain insights into the model decision-making process and build trust in its predictions.…”
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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…In contrast, the AI-Driven WRF model demonstrated notable advancements over Pangu-Weather, achieving more reliable and accurate predictions of typhoon intensity. Furthermore, the AI-Driven WRF model demonstrated promising results in predicting typhoon intensity and wind details, showing commendable performance to traditional global numerical model-driven WRF models. …”
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Role of microRNA in the risk stratification of ischemic strokes by Hosam M. Al-Jehani, Hosam M. Al-Jehani, Hosam M. Al-Jehani, Hosam M. Al-Jehani, Ahmed Hafez Mousa, Ahmed Hafez Mousa, Ahmed Hafez Mousa, Ahmed Hafez Mousa, May Adel Alhamid, Fawaz Al-Mufti

“…They can be used to predict the severity of a stroke and aid clinicians in making treatment decisions.…”
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Uncovering new Higgses in the LHC analyses of differential t t ¯ $$ t\overline{t} $$ cross sections by Sumit Banik, Guglielmo Coloretti, Andreas Crivellin, Bruce Mellado

“…Due to the level of sophistication of the SM predictions and the performance of the ATLAS and CMS detectors, this is very remarkable. …”
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Comparative Study of Cervical Pap Smear and Visual Inspection of The Cervix To Detect Premalignant Disease of The Cervix by Rozhan Yassin Khalil, Khanda Abdolrahman Qader

“…The result indicate that sensitivity rate was 16% for visual inspection method, specificity 71%, positive predictive value 3.13% and negative predictive value 93.9% to detect pre-cancerous lesion of the cervix. …”
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Health Canada's use of its priority review process for new drugs: a cohort study by Joel Lexchin

“…Agreement between Health Canada and PMPRB/Prescrire was only fair (κ=0.330). The positive predictive value for Health Canada's review assignments was 36.3% and the negative predictive value was 92.5%.Conclusions Health Canada's assignment of a priority approval to a new drug submission is only a fair predictor of the drug's therapeutic value once it is marketed. …”
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Evaluation of zonulin levels in patients with migraine by Gözde Ülfer, Burcu Polat, Ahmet Yabalak, Çağrı Çakıcı

“…The receiver operating characteristic curve analysis of zonulin revealed a cut-off value of 30.58 and above, at which it had 52.50% sensitivity, 77.5% specificity, 70% positive predictive value, and 62% a negative predictive value. …”
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Anomaly detection of adversarial cyber attacks on electric vehicle charging stations by Sagar Babu Mitikiri, Vedantham Lakshmi Srinivas, Mayukha Pal

“…A Long Short Term Memory (LSTM) based autencoder model is used for predicting the charging port current magnitudes that capture the temporal dependencies in the sequential EVCI data. …”
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Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning by Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi

“…The effectiveness of sulfur removal was predicted by analyzing five important factors: temperature, concentration, surface area, fuel/adsorbent, and time. …”
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Equations for estimating binary mixture toxicity: Methyl-2-chloroacetoacetate-containing combinations by Douglas A. Dawson, T. Wayne Schultz

“…Likewise, MX CRCs were generated and compared with model predictions, along with the calculation of additivity quotient (AQ) and independence quotient (IQ) values. …”
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A new approach to the study of the size and the geometry effect on compressive strength in concrete by Ángel De La Rosa, Gonzalo Ruiz

“…While the Fracture Mechanics model works well for VC, it does not predict cylinder-to-cube strength relationships for SCC as effectively, likely due to its unique properties. …”
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PARENTING STYLE AS PREDICTORS OF PSYCHOLOGICAL WELL-BEING OF STUDENTS OF NIGERIAN DEFENCE ACADEMY STAFF SCHOOL KADUNA by JONATHAN IORNENGE UGESE, OKOLO IFELUNWA, CHIBUIKE CHINONSO MGBEANULI, CHINONSO NDUBISI UGWUOWO, OKAFOR ONYEDIKACHI JOSEPH, SUNNI ISAAC MALLO, WALTER IWOBI CHUKWUEMEKA

“… This study investigates the predictive relationship between parenting styles and the psychological well-being of students attending the Nigerian Defence Academy Staff School in Kaduna. …”
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The Accuracy of Ankle Eccentric Torque Control Explains Dynamic Postural Control During the Y-Balance Test by Shojiro Nozu, Kristin A. Johnson, Tsukasa Tanaka, Mika Inoue, Hirofumi Nishio, Yuji Takazawa

“…A step-wise linear regression model was used to determine the best model predicted the MRD of the PM-YBT (PM-MRD). # Results A step-wise linear regression developed a model explaining only eccentric dorsiflexion torque control predicted higher PM-MRD score (R^2^ = 44%, F~1,10~ = 7.94, β = -0.67, p = 0.02)…”
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Relative Fat Mass, A Better Predictor of Erectile Dysfunction: Insights From the NHANES 2001–2004 by BoWen Yang, HanYu Wang, Luyi Tang, JiuHuan Feng, ShuFang Hou

“…In addition, RFM demonstrated superior predictive capability for ED (AUC = 0.644) compared with BMI (AUC = 0.525) and WC (AUC = 0.612). …”
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On the reduction of imaging time-points for dosimetry in radionuclide therapy by Johan Gustafsson, Jan Taprogge

“…Furthermore, the analytical expressions predicted correctly the optimal reduced imaging schedule in 9 of 12 pairwise comparisons between schedules for patients. …”
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Bioethanol production from water hyacinth with isolated thermophilic microbial consortium from Kenya by Deffar, Selamawit Shiferaw, Kumar, Anil, Muliwa, Anthony, Pili, Njira Njira, Omara, Timothy

“…The optimized factors were inoculum dose (8.1%, v/v), temperature (48.8 °C) and time (52.3 h) which resulted into 7.2 g/L of predicted bioethanol concentration. In the experimental run, 7.7 g/L of ethanol was produced, which is close to the predicted value.…”
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Deciding which is the best ${}^1\protect \text{H}$ NMR predictor for organic compounds using statistical tools by Mah, Wern Huay, Ahmad Nazuan, Nadzran Hafiy, Yeap, Wei Sheung, Fakharudin, Farah Hasyeena, Faye, Ibrahima, Wilfred, Cecilia Devi

“…${}^1\text{H}$ NMR chemical shifts for 30 organic compounds (396 data points) were predicted using four NMR predictor software and compared with the experimental data from SDBS. …”
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Polymer and nanocomposite fillers as advanced materials in biomedical applications by Angeline Julius, Suresh Malakondaiah, Raghu Babu Pothireddy

“…Despite significant progress, challenges remain, particularly in achieving uniform nanofiller distribution and predicting functional outcomes. Furthermore, the clinical translation of these materials is limited by gaps in toxicity assessment, biodegradation evaluation, and comprehensive in vivo studies. …”
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Association between geriatric nutritional risk index and overactive bladder in the elderly population: a cross-sectional study by Wei Zheng, Wei Zheng, Chuanzan Zhou, Jia Miao, Yunkai Yang, Xuanhan Hu, Heng Wang, Xinyu Zhang, Qi Zhang, Yifan Wang

“…Influencing factors were assessed through subgroup analyses, while the predictive utility of GNRI was assessed with receiver operating characteristic (ROC) curves. …”
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Relationship of monocyte to high-density lipoprotein ratio (MHR) and other inflammatory biomarkers with sarcopenia: a population-based study by Zhiwei Xue, Jian Cao, Jianhui Mou, Rui Wang, Peng Liu

“…MHR outperforms SII, NLR, and NHHR in predicting sarcopenia.…”
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