Evaluation of Diabetic Patients with Breast Cancer Treated with Metformin during Adjuvant Radiotherapy by Adam Ferro, Sharad Goyal, Sinae Kim, Hao Wu, Neil K. Taunk, Devora Schiff, Aneesh Pirlamarla, Bruce G. Haffty

“…Multiple logistic regression analysis demonstrated concurrent metformin use as being associated with a trend toward the predictive value of determining the incidence of developing desquamation in diabetic patients receiving radiation therapy compared to diabetic patients receiving an alternate diabetes medication (P value = 0.06). …”
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Adeno-associated virus-based gene therapy for hemophilia–addressing the gaps by Wolfgang Miesbach, Paul Batty, Pratima Chowdary, Sylvia Fong, Radoslaw Kaczmarek, Frank W.G. Leebeek, Brian Long, Johnny Mahlangu, Mike Makris, Glenn F. Pierce, Steven W. Pipe, Alok Srivastava, Jan Voorberg, Flora Peyvandi

“…This effort aims to enhance the predictability of individual responses, address variability in outcomes, and ultimately provide more effective, safer, and personalized treatment options for individuals with hemophilia.…”
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Bacterial wilt disease alters the structure and function of fungal communities around plant roots by Jiemeng Tao, Jingjing Jin, Peng Lu, Shizhou Yu, Mengli Gu, Jinbang Wang, Jianfeng Zhang, Peijian Cao

“…The complexity and stability of fungal networks were less affected, but the number of key fungal members in networks were significantly reduced in diseased samples. Functional predictions based on FUNGuild suggested that with the pathogen infection, saprotrophic fungi were increased in the bulk soil, but pathotrophic fungi (potential plant and animal pathogens) were increased in the rhizosphere, rhizoplane and endosphere. …”
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Measurement of snowpack density, grain size, and black carbon concentration using time-domain diffuse optics by Connor Andrew Henley, Colin Richard Meyer, Jacob Ian Chalif, Joseph Lee Hollmann, Ramesh Raskar

“…We introduce a model that predicts the time-dependent reflectance of a dry snowpack as a function of its density, grain size, and black carbon content. …”
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Effect and Safety of Mycophenolate Mofetil or Sodium in Systemic Sclerosis-Associated Interstitial Lung Disease: A Meta-Analysis by Argyris Tzouvelekis, Nikolaos Galanopoulos, Evangelos Bouros, George Kolios, George Zacharis, Paschalis Ntolios, Andreas Koulelidis, Anastasia Oikonomou, Demosthenes Bouros

“…The main end-points were safety and efficacy profile as estimated by forced vital capacity (FVC)% and diffusion capacity of the lung for carbon monoxide (DLCO)% of the predicted normal value (%pred.) before and after treatment in patients with SSc-ILD. …”
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Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework by Jiahua Sun, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Ronghui Li, Ronghui Li, Ronghui Li, Langtao Wu, Liang Cao, Liang Cao, Liang Cao, Liang Cao, Molin Sun, Molin Sun, Molin Sun

“…However, existing deep learning-based ship monitoring studies primarily focus on minimizing the discrepancy between predicted and true labels during model training. This approach, unfortunately, restricts the model to learning only from labeled ship samples within the training set, limiting its capacity to recognize new and unseen ship categories. …”
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Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection by João Lucas de S. Silva, João Antonio F. G. da Silva, Eslam Mahmoudi, João Frederico S. de Paula, Tárcio André dos S. Barros

“…Additionally, an unsupervised anomaly detection flagged 2.88% and 4.47% of data for two inverters, showcasing LSS potential for predictive models. These findings suggest that while LSS data are valuable for PV plant performance analysis, their effectiveness may depend on spectral range, averaging intervals, and irradiance transposition in simulations. …”
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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

“…Finally, the decoder processes the high‐level feature information as the decoding of the query object and detects objects by predicting their locations and corresponding task encodings. …”
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CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 [version 2; peer review: 1 approved, 2 approved with reservations] by Jianchu Xu, Robert J. Zomer, Antonio Trabucco, Donatella Spano

“…Within the context of projected significant change in the near- and medium-term, the “Future_Global_AI_PET Database” provides a set of data projections and tools available for a variety of scientific and practical applications, illustrating trends and magnitude of predicted climatic and eco-hydrological impacts on terrestrial ecosystems. …”
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Real-world clinical multi-omics analyses reveal bifurcation of ER-independent and ER-dependent drug resistance to CDK4/6 inhibitors by Zhengyan Kan, Ji Wen, Vinicius Bonato, Jennifer Webster, Wenjing Yang, Vladimir Ivanov, Kimberly Hyunjung Kim, Whijae Roh, Chaoting Liu, Xinmeng Jasmine Mu, Jennifer Lapira-Miller, Jon Oyer, Todd VanArsdale, Paul A. Rejto, Jadwiga Bienkowska

“…Machine learning models predict therapeutic dependency on ESR1 and CDK4 among ER-dependent tumors and CDK2 dependency among ER-independent tumors, confirmed by experimental validation.…”
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Geographical origin traceability of kiwifruit products using stable isotope and multi-element analysis with multivariate modeling: Feature extraction, selection of model and variab... by Wang Shuanhui, Chen Chang, Tian Jing, Liu Zhi, Mei Xianxian, Zhou Jialu, Wang Dongguang, Zhu Shaohua

“…A blind test was conducted using 63 samples randomly selected from Chinese market. The predicted result indicated a significantly high probability of origin mislabeling of imported kiwifruit products, with percentages ranging from 30.0 % to 90.0 %. …”
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Marine species and assemblage change foreshadowed by their thermal bias over Early Jurassic warming by Carl J. Reddin, Jan P. Landwehrs, Gregor H. Mathes, Clemens V. Ullmann, Georg Feulner, Martin Aberhan

“…Thermal bias, the difference between modelled regional temperatures and species’ long-term thermal optima, predicts a gradient of species occupancy response to warming. …”
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Basel III Liquidity Risk Measures and Bank Failure by L. N. P. Hlatshwayo, M. A. Petersen, J. Mukuddem-Petersen, C. Meniago

“…In this regard, we find that Basel III risk measures have limited ability to predict bank failure when compared with their traditional counterparts. …”
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A Novel Deep Hybrid Recommender System Based on Auto-encoder with Neural Collaborative Filtering by Yu Liu, Shuai Wang, M. Shahrukh Khan, Jieyu He

“…DHA-RS combines stacked denoising auto-encoders with neural collaborative filtering, which corresponds to the process of learning user and item features from auxiliary information to predict user preferences. Experiments performed on the real-world dataset reveal that DHA-RS performs better than state-of-the-art methods.…”
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A Nonstationary Daily and Hourly Analysis of the Extreme Rainfall Frequency Considering Climate Teleconnection in Coastal Cities of the United States by Lei Yan, Yuhan Zhang, Mengjie Zhang, Upmanu Lall

“…However, in terms of its predictive performance over the next 5 years, the ST model achieves a higher log-likelihood in 86% of cases. …”
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Simulations of pH and thermal effects on SARS-CoV-2 spike glycoprotein by Ziyuan Niu, Georgios Kementzidis, Miriam Rafailovich, Marcia Simon, Evangelos Papadopoulos, Bertal H. Aktas, Yuefan Deng

“…This effect is primarily pH-driven at extreme acidity and thermo-driven at moderate pH. 3) The Gibbs free energy landscape reveals that pH as the main driver of structural changes. 4) The parametrized methods enable the predictions of the S-protein properties at any reasonable pH and thermal conditions without explicit MD simulations.…”
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Systematic failures in the development of photovoltaic systems: The case study of Iran's solar energy by Mohammad Mahdi Akhlaghi, Ali Shafiei Alavijeh, Ramin Hosseinalizadeh, Shohreh Nasri, Sepehr Ghazinoory

“…However, because of the lack of experience and fast growth rate, some serious problems such as the shortage of funding and the system failures caused by the weakness of prerequisite standards and infrastructures are predicted in the future. These problems seem to be more critical, especially for PV systems that don't have a long history in Iran. …”
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Dynamic compressive mechanical properties of fibre-reinforced geopolymer concrete by Jihao Su, Jize Mao, Bukui Zhou, Wei Zhang, Limei Wang, Chaomin Mu

“…Additionally, corresponding empirical formulas were proposed to predict the DIF and specific energy absorption for both GPC and FRGC.…”
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Alterations of interhemispheric functional connectivity in patients with hypertensive retinopathy using voxel-mirrored homotopic connectivity: a resting state fMRI study by Xue-Lin Wang, Yu Chen, Jin-Yu Hu, Hong Wei, Qian Ling, Liang-Qi He, Cheng Chen, Yi-Xin Wang, Yan-Mei Zeng, Xiao-Yu Wang, Qian-Min Ge, Xu Chen, Yi Shao

“…CONCLUSION: VMHC values can predict the development of early HR, prevent the transformation of hypertensive microangiopathy, and provide useful information explaining the changes in neural mechanism associated with HR.…”
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Knowledge, practice, and information sources regarding infectious diseases among Chinese children and adolescents: a National-Level cross-sectional study by Yuan Zeng, Feifei Li, Wei Liang, Yinyue Liu, Zhiyong Zou, Julien S. Baker, Yanhui Dong, Jun Ma, Jie Hu, Yide Yang, Bin Dong

“…Conclusions Children’s knowledge and various sources of access to information significantly predicted the prevention practice score. It might add value to future interventions and policy-making in promoting preventive measures for infectious diseases.…”
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