Evaluation of timed dexamethasone eye drops to prevent proliferative retinopathy of prematurity: a study protocol for a randomized intervention, multi-centre, double-blinded trial... by Ann Hellström, Mariya Petrishka-Lozenska, Aldina Pivodic, Anders K. Nilsson, Ulrika Sjöbom, Ingrid Hansen Pupp, David Ley, Lotta Gränse, Hanna Maria Öhnell, Gunnar Jakobsson, Karin Sävman, Lois E. H. Smith, Pia Lundgren, the DROPROP collaboration group

“…Clinical trial number Not applicable.…”
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Real-Time Sensor Fault Tolerant Control of DC-DC Converters in DC Microgrids Using a Switching Unknown Input Observer by Mohammed Said Ouahabi, Abdelhafid Benyounes, Said Barkat, Syphax Ihammouchen, Toufik Rekioua, Abdelaziz Rabehi, El-Sayed M. El-Kenawy, Amal H. Alharbi

“…Their growing adoption in critical applications raises the need for operational safety and reliability, particularly under fault conditions. …”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

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Skin conditions associated with dermal exposure to oil spill chemicals among Deepwater Horizon disaster response and cleanup workers by Dazhe Chen, Kaitlyn G. Lawrence, Patricia A. Stewart, Melanie Gorman Ng, Mark R. Stenzel, John W. Cherrie, Kate E. Christenbury, W. Braxton Jackson II, Lawrence S. Engel, Dale P. Sandler

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Efficient spheroid morphology assessment with a ChatGPT data analyst: implications for cell therapy by Takuya Sakamoto, Hiroto Koma, Ayane Kuwano, Tetsuhiro Horie, Atsushi Fuku, Hironori Kitajima, Yuka Nakamura, Ikuhiro Tanida, Yujiro Nakade, Hiroaki Hirata, Yoshiyuki Tachi, Hiroshi Sunami, Daisuke Sakamoto, Sohsuke Yamada, Naoki Yamamoto, Yusuke Shimizu, Yasuhito Ishigaki, Toru Ichiseki, Ayumi Kaneuji, Satoshi Osawa, Norio Kawahara

“…This method reduces human error and improves reproducibility to enhance spheroid quality control. …”
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System for delivering microwave ablation to subcutaneous tumors in small-animals under high-field MRI thermometry guidance by Jan Sebek, Tej B. Shrestha, Matthew T. Basel, Faraz Chamani, Nooshin Zeinali, Ivina Mali, Macy Payne, Sarah A. Timmerman, Pegah Faridi, Marla Pyle, Martin O’Halloran, M. Conall Dennedy, Stefan H. Bossmann, Punit Prakash

“…One day post ablation, animals were euthanized, and excised tumors were processed for viability assessment.Results Average absolute error between temperatures from fiberoptic sensors and MRIT was 0.6 °C across all ex-vivo ablations. …”
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Characterization of RAP Signal Patterns, Temporal Relationships, and Artifact Profiles Derived from Intracranial Pressure Sensors in Acute Traumatic Neural Injury by Abrar Islam, Amanjyot Singh Sainbhi, Kevin Y. Stein, Nuray Vakitbilir, Alwyn Gomez, Noah Silvaggio, Tobias Bergmann, Mansoor Hayat, Logan Froese, Frederick A. Zeiler

“…Goal: Current methodologies for assessing cerebral compliance using pressure sensor technologies are prone to errors and issues with inter- and intra-observer consistency. …”
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Evaluation of intervention systematic reviews on chronic non-communicable diseases and lifestyle risk factors in low-middle income countries: meta-research by Beatriz Hadassa Silva Cano, Giulianna Faypher Morena Vieira da Silva, Gustavo Dias Bottari, Eduarda Letícia Balbinot, Maria Laura Rodrigues Uggioni, Leonardo Roever, Maria Inês da Rosa, Antonio José Grande

“…Abstract Background Systematic Reviews (SRs) rigorously synthesize findings on a theme, but some articles with this design are redundant due to errors and conflicts. Meta-research aims to rigorously analyze research, assessing SRs’ methodological quality and result reliability. …”
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Specific features of cognitive skill development in athletes of situational sports by Vyacheslav Romanenko, Yrui Tropin, Leonid Podrigalo, Natalya Boychenko, Anatoly Abdula, Nataliia Sereda, Yaroslav Yatsiv

“…In the spatial perception test, statistically significant differences were observed only at the fourth stage, in the percentage of errors (p-value = 0.01). The results of the discriminant analysis show that, when constructing a linear discriminant analysis (LDA) model with three classes (football, judo, taekwondo), two discriminant functions were identified, explaining 62% (LD1) and 38% (LD2) of the variance between the groups, respectively. …”
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Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation by Wang Dai, Kebiao Mao, Zhonghua Guo, Zhihao Qin, Jiancheng Shi, Sayed M. Bateni, Liurui Xiao

“…For instance, a large model trained with simulated ASTER data achieved a Pearson Correlation Coefficient (PCC) of 0.999 and a Mean Absolute Error (MAE) of 0.348 K in surface temperature retrieval. …”
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LDPC-Coded Generalized Frequency Division Multiplexing for Intensity-Modulated Direct-Detection Optical Systems by Dong Guo, Wei Zhang, Feng Tian, Jianyang Shi, Kaihui Wang, Miao Kong, Junwen Zhang, Kai Lv, Deng'ao Li, Xiaolong Pan, Xiangjun Xin

“…Then, we experimentally demonstrate an LDPC-coded GFDM with 16-quadrature amplitude modulation (16QAM) system transmitted over 20-km standard single-mode fiber at different symbol rates to verify the applicability of the proposed scheme. Furthermore, the proposed scheme with trellis-coded 32-quadrature amplitude modulation (TC-32QAM) has also been investigated and compared with the bit error rate (BER) performance with 16QAM-modulated condition. …”
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Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data by F. Leone, A. Caporali, A. Pascarella, C. Perciballi, O. Maddaluno, A. Basti, P. Belardinelli, L. Marzetti, G. Di Lorenzo, V. Betti

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Transformers for Neuroimage Segmentation: Scoping Review by Maya Iratni, Amira Abdullah, Mariam Aldhaheri, Omar Elharrouss, Alaa Abd-alrazaq, Zahiriddin Rustamov, Nazar Zaki, Rafat Damseh

“…Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation. …”
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Enzyme replacement therapy for Anderson-Fabry disease: A complementary overview of a Cochrane publication through a linear regression and a pooled analysis of proportions from coho... by Regina El Dib, Huda Gomaa, Alberto Ortiz, Juan Politei, Anil Kapoor, Fellype Barreto

“…<h4>Background</h4>Anderson-Fabry disease (AFD) is an X-linked recessive inborn error of glycosphingolipid metabolism caused by a deficiency of alpha-galactosidase A. …”
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Modeling functional connectivity changes during an auditory language task using line graph neural networks by Stein Acker, Jinqing Liang, Ninet Sinaii, Kristen Wingert, Atsuko Kurosu, Sunder Rajan, Sara Inati, William H. Theodore, Nadia Biassou, Nadia Biassou

“…Our findings from the HCP dataset indicated that line GNNs achieved lower mean squared error compared to traditional GNNs, with the line GraphSAGE model outperforming the traditional GraphSAGE by 18% (p &lt; 0.0001). …”
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Analysis of the Characteristics and Contribution Rate of Base Flow in Typical Basins of the Loess Plateau by ZHANG Jiyuan, YU Kunxia, LI Zhanbin, LI Peng, LIU Yonggang, MO Shuhong, ZHAO Binhua, YANG Jianhong, JIA Lu, LI Xue

“…[Results] The F4 digital filtering method exhibited superior performance in terms of stability, dispersion, and error metrics, making it the most suitable method for the typical watersheds of the Loess Plateau. …”
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Miniaturizable Phase-Sensitive Amplifier Based on Vector Dual-Pump Structure for Phase Regeneration of PDM Signal by Shuaiwei Jia, Zhuang Xie, Wen Shao, Xiaotian Han, Yulong Su, Jiacheng Meng, Duorui Gao, Wei Wang, Xiaoping Xie

“…Phase sensitive amplification is indispensable in promoting applications such as all-optical regenerators, quantum communications, all-optical analog-to-digital conversion, and long-distance communications. …”
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Biologics developability data analysis using hierarchical clustering accelerates candidate lead selection, optimization, and preformulation screening by Kevin James Metcalf, Galen Wo, Jan Paulo Zaragoza, Fahimeh Raoufi, Jeanne Baker, Daoyang Chen, Mehabaw Derebe, Jason Hogan, Amy Hsu, Esther Kofman, David Leigh, Mandy Li, Dan Malashock, Cate Mann, Soha Motlagh, Jihea Park, Karthik Sathiyamoorthy, Madhura Shidhore, Yinyan Tang, Kevin Teng, Katharine Williams, Andrew Waight, Sultan Yilmaz, Fan Zhang, Huimin Zhong, Laurence Fayadat-Dilman, Marc Bailly

“…Due to the amount of data acquired for these molecules, manual analysis methods to rank molecules are error prone and time-consuming. Here, we present applications of hierarchical clustering analysis for data-driven lead selection of biologics and preformulation screening using high throughput developability data. …”
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Estimation of physico-chemical properties of soil using machine learning by Patience Chizoba Mba, Opegbemi Matthias Busoye, John Temitope Ajayi, Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Senorpe Asem-Hiablie, Rammohan Mallipeddi, Tusan Park, Daniel Dooyum Uyeh

“…The models were assessed on their ability to predict soil properties while minimizing error rates. The SVR model showed limited predictive performance, with its best results yielding slightly over 40 % R² and negative scores for physical properties. …”
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Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations by Jinfeng Zhao, Shikun Sun, Yali Yin, Yihe Tang, Chong Li, Yongshan Liang, Yubao Wang, Alexander Winkler, Shijie Jiang

“…Our study offers robust, parsimonious, and broadly applicable models for ET estimation across PFTs and climate zones.…”
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