Harnessing TGF-β signaling to improve testicular organoid development from dissociated testicular cells by Seyedeh-Faezeh Moraveji, Saiedeh Erfanian, Mohammad Hossein Ghanian, Hossein Baharvand

“…However, current TOs mostly fail to recapitulate the native testicular architecture and function, likely due to an imbalance between the spermatogonia and functional niche cells. …”
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Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

“…Then, a two-channel loss function (W-SIoU) based on dynamic tuning and intelligent focusing is designed to enhance loss computation in the boundary regions, thus improving the YOLOv11 model’s ability to recognize targets with ambiguous boundaries. …”
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Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approach by Tatsuya Teramae, Takamitsu Matsubara, Takamitsu Matsubara, Tomoyuki Noda, Jun Morimoto, Jun Morimoto

“…Electromyography (EMG) is essential for accurate assessment of motor function in rehabilitation, sports science, and robotics. …”
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Novel Aggregation Framework for Electric Bus Fleet Scheduling by Maros Janovec, Milan Straka, Michal Kohani, Lubos Buzna

“…In recent years, electric buses have become a more environmentally friendly alternative to combustion buses. …”
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Specific overexpression of contactin-associated protein-like 2 and its effects on pain-related behaviour in mice by Mandy Tseng, Steven J. Middleton, Adham Farah, Sarosh R. Irani, John M. Dawes, David L. Bennett

“…The aim of this study was to assess whether overexpressing CASPR2 could be a potential approach to treat pain. Methods:. We generated a Cre-dependent mouse line to express human CASPR2 (R26LSL:hCNTNAP2(+/+) (CASPR2OE)) and crossed this with either Hoxb8Cre or Nav1.8Cre mice for CASPR2 overexpression in either all DRG neurons or to target nociceptors more selectively. …”
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Bidirectional seismic response of assembled monolithic subway station-aboveground structure system under artificial bedrock ground motions by Yu Miao, Han-Wen Ji, Yang Shi

“…In this study, we firstly performed the statistical analysis on bidirectional bedrock ground motion parameters (response spectrum, duration and envelope function) using KiK-net data, and obtained some suggested values of the above parameters. …”
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Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products by Jessica Chiu, Stephany Paredes-Mesa, Tarendra Lakhankar, Peter Romanov, Nir Krakauer, Reza Khanbilvardi, Ralph Ferraro

“…We analyze this disagreement rate as a function of terrain and land cover type, finding that, relative to IMS, MIRS shows fewer false positives but more false negatives than MSPPS over high elevation and grassland areas.…”
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Surfactants Adsorption onto Algerian Rock Reservoir for Enhanced Oil Recovery Applications: Prediction and Optimization Using Design of Experiments, Artificial Neural Networks, and... by Kahina Imene Benramdane, Mohamed El Moundhir Hadji, Mohamed Khodja, Nadjib Drouiche, Bruno Grassl, Seif El Islam Lebouachera

“…While DOE showed a slight advantage in relative error (9.10 × 10⁻⁵% vs. 1.88 × 10⁻⁴% for ANN), ANN proved more effective overall. Three optimization approaches—ANN-GA, DOE-GA, and DOE-DF (desirability function)—were compared, all converging to the same optimal conditions (SDS at 200 ppm and 25 °C). …”
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Analysis of thermo-hydro-mechanical coupling characteristics of artificial freezing process under seepage effects by Peipei Chen, Fengling Yin, Manqi Wang

“…The calculations show that: (1) As the seepage velocity increases, the convective heat transfer effect becomes more significant. The cooling effect generated by the freezing pipe is transmitted more rapidly through the soil, leading to the rapid expansion of the freezing front. …”
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Hamiltonian transformation for accurate and efficient band structure interpolation by Kai Wu, Yingzhou Li, Wentiao Wu, Lin Lin, Wei Hu, Jinlong Yang

“…Using a pre-optimized transformation, HT produces a far more localized Hamiltonian than WI-SCDM (where Wannier functions are generated via the selected columns of the density matrix projection), achieving up to two orders of magnitude greater accuracy for entangled bands. …”
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MiMeNet: Exploring microbiome-metabolome relationships using neural networks. by Derek Reiman, Brian T Layden, Yang Dai

“…The advance in microbiome and metabolome studies has generated rich omics data revealing the involvement of the microbial community in host disease pathogenesis through interactions with their host at a metabolic level. …”
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Deep Learning System for E-Waste Management by Godfrey Perfectson Oise, Susan Konyeha

“…Rapid urbanization has resulted in increased waste generation, necessitating a more intelligent and efficient approach to e-waste collection and disposal. …”
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Recovery of Bioactive Peptides from Food Wastes and Their Bioavailability Properties by Ahmet Görgüç, Esra Gençdağ, Fatih Mehmet Yılmaz

“…Ensuring the correct and efficient use and recycling of wastes having high protein content and generated throughout the food production and supply chain is becoming more important both in our country and all over the world. …”
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Numerical Simulation and Optimization of Water Hammer Protection Schemes for Long-Distance Gravity-Pressurized Water Conveyance Systems by HUANG Wei, LIAO Chen-xi, HUANG Xin, GU Ping, LIU Bin, HUANG Zi-yang

“…The hydraulic characteristics of such systems are more complex than those of pure gravity-driven systems. …”
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Creativity of Nanofiber Materials and Application in the Expressive Power of Manual Tie-Dyeing Process by Jing Wen, Xueqing Lu, Mai Jiang, Xiaohua Shao

“…In modern society with the unprecedented development of technology and information, people’s life rhythm has accelerated, and the opposite “slow fashion” has become popular. More and more people are focusing more on the traditional craft of tie-dyeing. …”
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The comparative effects of injecting intra-articular platelet-rich plasma and hypertonic dextrose prolotherapy in osteoarthritis knee - A randomized control trial by Neeraj Singh, Anil K. Gupta, Dileep Kumar, Sudhir Mishra, Ganesh Yadav, Shreya Singh

“…Result: Overall, the baseline to 6 weeks change of LKI-Pain in group I (PRP) was significantly more than the group II (DEXTROSE) (P < 0.001). On considering the parameter of LKI-Pain at baseline and 6 weeks for PRP and Dextrose, it was found that in Group I, the mean ± SD reduced more at 6 weeks from 4.81 ± 1.55 to 2.44 ± 1.76 as compared to participants in Group II with 4.83 ± 1.17 at baseline to 6 weeks 3.64 ± 0.98, LKI-Activities of Daily Living (ADL) for group I PRP the Mean ± SD score dropped more from 4.66 ± 1.40 to 2.95 ± 1.35 whereas for group II Dextrose the Mean ± SD score dropped from 4.68 ± 1.40 to 3.65 ± 1.51 at baseline and 6 week respectively and At baseline, the mean LKI-Total score in group I was 12.85 ± 3.59 while in group II the mean score was 13.11 ± 3.15. …”
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Patient characteristics and pharmacologic treatment patterns in antifibrotic-treated patients with fibrosing interstitial lung diseases: real-world results from a claims database by Yasuhiro Kondoh, Tomohiro Ito, Hana Kimura, Haikun Bao, Masataka Kuwana

“…Abstract Background Antifibrotics have been approved for use in many countries, including Japan, based on the results of several phase III clinical trials in patients with IPF, SSc-ILD, and PPF, which showed slower lung function decline with antifibrotic treatment. There is a paucity of information on the real-world use of antifibrotics in clinical practice. …”
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Open reduction, internal fixation of Vancouver B1, C &amp; D type periprosthetic femoral fractures with use of an antiglide plate at fracture apex - The “Apex Plate” by Roland Bell, Mohammed Remtulla, Bryan Riemer

“…The lateral tension-banding plate method can exploit the latter function of this smaller plate to improve the stability of the fixed construct, and thereby encourage more reliable bone healing. …”
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Ganoderma Disease in Oil Palm Trees Using Hyperspectral Imaging and Machine Learning by Chee Seng Kwang, Siti Fatimah Abdul Razak, Sumendra Yogarayan, M. Z. Adli Zahisham, Tze Huey Tam, M. K. Anuar Mohd Noor, Haryati Abidin

“…Future research will focus on collecting more data, incorporating temporal information for disease stage classification, and implementing a more robust machine learning (ML) model for performance enhancement. …”
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A synthetic library of RNA control modules for predictable tuning of gene expression in yeast by Andrew H Babiskin, Christina D Smolke

“…Abstract Advances in synthetic biology have resulted in the development of genetic tools that support the design of complex biological systems encoding desired functions. The majority of efforts have focused on the development of regulatory tools in bacteria, whereas fewer tools exist for the tuning of expression levels in eukaryotic organisms. …”
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