Pragmatic questionnaire-based evaluation of auditory function in individuals with major neurocognitive disorders and hearing loss in diverse contexts by Panagiotis Alexopoulos, Panagiotis Alexopoulos, Panagiotis Alexopoulos, Panagiotis Alexopoulos, Antonios Alexandros Demertzis, Panagiotis Biris, Polychronis Economou, Eric Frison, Piers Dawes, Iracema Leroi

“…The HHIE-8 model was less effective (MSE = 7.740), and the model including HHIE and no demographic data was the least reliable (MSE = 9.220).ConclusionHHIE-S and HHIE-2 combined with demographic data are practical and more efficient tools for assessing hearing loss severity in people with dementia and hearing impairment compared to HHIE, HHIE-S and HHIE-SP in different European countries. …”
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Multicenter Long-Term Real World Data on Treatment With Lumasiran in Patients With Primary Hyperoxaluria Type 1 by Cristina Martin-Higueras, Lodovica Borghese, Armando Torres, Fátima Fraga-Bilbao, Raquel Santana-Estupiñán, Constantinos J. Stefanidis, Kálmán Tory, Adam Walli, Leire Gondra, Caroline Kempf, Michaela Gessner, Sandra Habbig, Lisa Eifler, Claus P. Schmitt, Benjamin Rüdel, Malte P. Bartram, Bodo B. Beck, Bernd Hoppe

“…Conclusion: Lumasiran treatment is safe and efficient. Dosage (interval) adjustment necessities need clarification. …”
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Comparative assessment of primary and paraneoplastic gout in lung cancer by O. V. Syniachenko, Yu. V. Dumanskyi, Ye. D. Yehudina, O. Ye. Chernyshova, P. A. Stepko, D. M. Fedorov

“…Patients with tumorous gout differ from other LC patients with PNPS by the absence of bilateral and median lobe localization of the lung process, but relatively frequent occurrence of Pancoast tumor, high levels of uric acid and xanthine oxidase in the blood. …”
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Construction of an integrated linkage map of sugarcane using unigene-derived microsatellite (SSR) markers by Sujeet P. Singh, Jyoti Rasogi, Chethana Ck, R.K. Singh, A. Nigam, Ram Baran Singh

“…This ensures the marker is accurate, reliable, and applicable across different environments and genetic backgrounds. Moreover, the developed SSR-based linkage map will be a useful suit for understanding genetic architecture, marker-assisted breeding for improving yield and quality, identifying disease resistance genes, and accelerating genetic research in polyploid sugarcane and other related polyploidy crop species.…”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Conclusions: This machine learning model provides an efficient and practical tool for detecting AAE using routine blood parameters, offering potential value in clinical practice, especially in resource-limited settings. …”
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SET OF ORGANIZATIONALLY-DIDACTIC CONDITIONS OF THE MODEL OF STUDENTS’ AUTONOMY DEVELOPMENT SYSTEM IMPLEMENTATION by Roman A. Popov

“…Didactic synthesis and correlation are not only to be conducted with relation to the tasks of a certain training course, but also in relation to the tasks of different related courses. …”
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Is the Hip Keeping the Ankle Out of Work after Total Ankle Arthroplasty? by Frank DiLiberto PT, PhD, Maxine Olson MS, Finola Summerville, Stacey Meardon PhD, PT, Anand Vora MD

“…Differences across tasks within the TAA group were analyzed with Friedman’s ANOVAs. …”
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Synergistic effects in betaine based binary surfactant at water/oil interface: Insights from molecular dynamics simulations by Xinshun Wang, Yangwen Zhu, Jun Xia, Lei Zhang, Kang Zhang, Chenxi Shi, Ruijie Wang, Liya Wang, Rumeng Liu, Zhiping Xu, Lu Zhang, Chun Tang

“…Notably, ASB/Span80 and XSB/Span80 systems achieved ultralow IFT values but due to structural differences, XSB has relatively weaker synergy with Span80 than ASB, nonetheless it still outperforms other single or mixed surfactant systems in IFT reduction capability.…”
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A Comparison of Inversion Methods for Surrogate‐Based Groundwater Contamination Source Identification With Varying Degrees of Model Complexity by Zhenbo Chang, Zhilin Guo, Kewei Chen, Zibo Wang, Yang Zhan, Wenxi Lu, Chunmiao Zheng

“…The strength of ES‐MDA lies in its efficiency. It achieves relatively satisfactory results with a reduced computational burden. …”
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An experimental investigation on the performance of a single cylinder diesel engine at various partial loads by Thong Duc Hong, Binh Thanh Thi Hoang, Thien Quoc Mai Ho, Phat Tan Truong, Minh Quang Pham

“…In contrast, because the reduction in fuel viscosity and pump efficiency balances the pressure wave effects at high loads, fuel quantity per cycle remains relatively constant, making the characteristics more similar to the theory. …”
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Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification by Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja

“…Deep learning (DL) has had an incredible influence on many different scientific areas over the past couple of decades. …”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…Recent advances in deep learning demonstrate promising potential to improve diagnostic accuracy, reduce false positives/negatives, and alleviate radiologists’ workload, thereby enhancing clinical decision-making in breast cancer management.MethodsThis study trains and evaluates 14 deep learning models, including AlexNet, VGG16, InceptionV3, ResNet50, Densenet121, MobileNetV2, ResNeXt, RegNet, EfficientNet_B0, ConvNeXT, ViT, DINOV2, UNI, and GigaPath on the BreakHis v1 dataset. …”
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LSTM-IOT (LSTM-based IoT) untuk Mengatasi Kehilangan Data Akibat Kegagalan Koneksi by Yosia Adi Susetyo, Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto

“…With advanced prediction and monitoring features, these devices provide efficient and high-value solutions for companies to monitor environmental conditions accurately and proactively. …”
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Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis by Kaixin Chen, Yin Qu, Ye Han, Yan Li, Huiyan Gao, De Zheng

“…However, the clinical application of DL models remains relatively limited at present. Therefore, future research should focus on increasing sample sizes, improving model architectures, and developing more advanced DL models to facilitate the creation of highly efficient intelligent diagnostic tools for KRAS mutation diagnosis in CRC.…”
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A single-institution experience with intraoperative in vivo confocal laser endomicroscopy for brain tumors in 50 patients by Yuan Xu, Thomas J. On, Irakliy Abramov, Oscar Alcantar-Garibay, Joelle N. Hartke, Jennifer M. Eschbacher, Kivanc Yangi, Michael T. Lawton, Kris A. Smith, Randall W. Porter, Mark C. Preul

“…CLE is efficient and cost-effective, with high diagnostic accuracy at the glioma core. …”
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Exploration of biophoton characteristics of fresh Isatis indigotica fort leaves under salt and drought stresses and the feasibility analysis for the quality prediction of Isatidis... by Zhiying Wang, Zhiying Wang, Baorui Cao, Baorui Cao, Yueyue Ma, Weifan Xu, Jialei Fu, Zhongwen Zhang, Jinxin Du, Tingting Deng, Jingxiang Pang, Meina Yang, Meina Yang, Jinxiang Han, Jinxiang Han

“…Meanwhile, biophoton characteristic parameters were obtained that could accurately and efficiently distinguish fresh Isatis indigotica Fort leaves between different stress subtypes: initial intensity of DL and counts per second of SPE. …”
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DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates by Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte

“…In the identification of new planetary candidates in transit surveys, the employment of deep learning models proved to be essential to efficiently analyze a continuously growing volume of photometric observations. …”
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Large Dark Matter Content and Steep Metallicity Profile Predicted for Ultradiffuse Galaxies Formed in High-spin Halos by José A. Benavides, Laura V. Sales, Mario. G. Abadi, Mark Vogelsberger, Federico Marinacci, Lars Hernquist

“…These results are consistent with recent mass inferences in UDG samples and suggest that the most inefficient UDGs arise from a late assembly of the dark matter mass followed by a stellar growth that is comparatively slower (for star-forming UDGs) or that was interrupted due to environmental removal of the gas (for quenched UDGs). Regardless of efficiency, UDGs are 60% poorer in [Fe/H] than the population of non-UDGs at a fixed stellar mass, with the most extreme objects having metal content consistent with the simulated mass–metallicity relation at z ∼ 2. …”
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Advancement in Anaerobic Ammonia Oxidation Technologies for Industrial Wastewater Treatment and Resource Recovery: A Comprehensive Review and Perspectives by Pradeep Singh, Monish Bisen, Sourabh Kulshreshtha, Lokender Kumar, Shubham R. Choudhury, Mayur J. Nath, Manabendra Mandal, Aman Kumar, Sanjay K. S. Patel

“…Additionally, this review offers detailed insights into the challenges related to anammox technology and delivers solutions for future sustainable research.…”
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The Microbiome of Continuous Wheat Rotations: Minor Shifts in Bacterial and Archaeal Communities but a Source for Functionally Active Plant-Beneficial Bacteria by Andrea Braun-Kiewnick, Adriana Giongo, Priscilla Mena Zamberlan, Patrick Pluta, Heinz-Josef Koch, Henning Kage, Kornelia Smalla, Doreen Babin

“…Continuous wheat cropping often leads to yield decline, with suspected causes including increased pathogen susceptibility, decreased root growth, or low nutrient use efficiency, although the exact causes remain unknown. …”
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