Saccadic intrusions in amyotrophic lateral sclerosis (ALS) by Wolfgang Becker, Martin Gorges, Dorothée Lulé, Elmar Pinkhardt, Albert Christian Ludolph, Jan Kassubek

“…Yet, there were clear correlations with parameters such as eye blink rate or errors in a delayed saccade task that suggest an impairment of inhibitory mechanisms, in keeping with the notion of a frontal dysfunction in ALS. …”
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Measuring and Analyzing the Spatiotemporal Evolution of Agricultural Green Total Factor Productivity on the Tibetan Plateau (2002–2021) by Mengmeng Zhang, Jianyu Xiao, Chengqun Yu

“…The main findings are as follows: (1) AGTFP in Tibet rose overall from 0.949 in 2002 to 1.068 in 2021, with a compound annual growth rate of 0.78%, yet remained below the national average; (2) significant regional heterogeneity emerged, with three typical evolution patterns identified: continual improvement (Nagqu, Qamdo), stable fluctuation (Lhasa, Xigazê), and risk of decline (Lhoka, Nyingchi, Ngari); (3) gains in pure technical efficiency were the primary driver of AGTFP growth, while insufficient scale efficiency was a key constraint; (4) AGTFP exhibited a “convergence–divergence–reconvergence” dynamic, with interregional disparities widening but structural patterns stabilizing; and (5) interregional inequality was the main source of overall disparity—its importance grew over the study period, with the largest gap observed between agrarian and pastoral zones. …”
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The emerging threat of multidrug-resistant mecA gene-positive coagulase-negative Staphylococci by Samira Fattah Hamid, Aza Bahadeen Taha, Shler Qasim Hussien

“…The clinical isolation rate of these bacteria has increased in parallel with a rising prevalence of antibiotic resistance. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Breast cancer has the highest mortality rate. Therefore, histologic imaging evaluations must detect breast cancer early. …”
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Use of information-fusion deep-learning techniques to detect possible electricity theft: A proposed method by Maria Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…With the SGCC dataset, the method achieved an AUC (area under the curve) of 96.7%, a mAP@100 (mean average precision at 100) of 95.7%, and an FPR (false positive rate) of 8.1%. With the CER dataset, the method achieved an AUC of 96.7%, a mAP@100 of 97.3%, and an FPR of 5.2%. …”
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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

“…Additionally, oocyte diameter and the critical flow rate (Q)—defined as the minimum flow rate necessary for an oocyte to pass through the channel—were included as predictive variables. …”
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Impact of Sodium Ion Stress on the Mechanism of Lead Ion Migration in Electrochemical Treatment of Lead-Contaminated Soil by Yinyin Zhang, Jiangtao Han, Libin Zang

“…This study specifically validates the migration patterns of lead ions under sodium ion stress in soil and concludes that a high concentration of sodium ions, when coexisting with lead ions, diminishes the migration rate of lead ions, consequently reducing the removal efficiency of lead ions. 1. …”
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Combining Autoregressive Models and Phonological Knowledge Bases for Improved Accuracy in Korean Grapheme-to-Phoneme Conversion by Sung-Ki Choi, Hyuk-Chul Kwon, Minho Kim

“…Experimental results show that a BiLSTM-LSTM AR model based on ELECTRA embeddings achieves a phoneme error rate (PER) of 0.2%, word error rate (WER) of 0.68%, and a sentence accuracy of 95.16%, outperforming both a traditional rule-based approach (24.51% sentence accuracy) and non-autoregressive variants implemented on the same dataset (achieving 81.32%–85.72% sentence accuracy). …”
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¹³C metabolic flux analysis identifies an unusual route for pyruvate dissimilation in mycobacteria which requires isocitrate lyase and carbon dioxide fixation. by Dany J V Beste, Bhushan Bonde, Nathaniel Hawkins, Jane L Ward, Michael H Beale, Stephan Noack, Katharina Nöh, Nicholas J Kruger, R George Ratcliffe, Johnjoe McFadden

“…Here we show that deletion of one of the two icl genes impairs the replication of Mycobacterium bovis BCG at slow growth rate in a carbon limited chemostat. In order to further understand the role of isocitrate lyase in the central metabolism of mycobacteria the effect of growth rate on the in vivo fluxes was studied for the first time using ¹³C-metabolic flux analysis (MFA). …”
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Identification and Validation of the lncRNA BACE1-AS as Immune-Related Influencing Factor in Tumorigenesis following Pan-Carcinoma Analysis by Mengmeng Wang, Di Chen, Yushuang Xu, Mengjun Qiu, Xin Jiang, Zhifan Xiong

“…Overall, our results suggest that BACE1-AS is associated with the expression, prognosis, and rate of immune cell infiltration of most tumors. …”
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Spatial proximity effects on cognitive processing of multimedia learning among college students: evidence from functional near-infrared spectroscopy by Yan Ma, Yan Ma, Qiuyue Peng, Qiuyue Peng, Bowen Long, Bowen Long

“…In addition, the study also explored how disciplinary differences affect the strength of spatial proximity effects and corresponding brain activation patterns.ResultsThe findings revealed that activation levels in the middle temporal gyrus, frontal pole, and dorsolateral prefrontal cortex were significantly higher in the spatial proximity condition compared to the spatial separation condition, accompanied by an improved rate of correct answers. …”
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The 'Antiretrovirals, Sexual Transmission Risk and Attitudes' (ASTRA) study. Design, methods and participant characteristics. by Andrew Speakman, Alison Rodger, Andrew N Phillips, Richard Gilson, Margaret Johnson, Martin Fisher, Ed Wilkins, Jane Anderson, Rebecca O'Connell, Monica Lascar, Kazeem Aderogba, Simon Edwards, Jeffrey McDonnell, Nicky Perry, Lorraine Sherr, Simon Collins, Graham Hart, Anne M Johnson, Alec Miners, Jonathan Elford, Anna-Maria Geretti, William J Burman, Fiona C Lampe

“…In this paper we describe the study rationale, design, methods, response rate and the demographic characteristics of the participants. …”
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Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems by Dinesh Kumar Nishad, Vandna Rani Verma, Pushkar Rajput, Sandeep Gupta, Anurag Dwivedi, Dharti Raj Shah

“…The system’s security analysis yields a 98% threat detection rate, with response times under 100 ms. Meanwhile, reliability metrics indicate a 99.8% task completion rate and a mean time to failure of 1,200 h. …”
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The Role of Intrinsic Factors in Explaining Range Shifts of European Breeding Birds: A Meta‐Analysis by Femke E. M. Warmer, Wessel A. vanVliet, Pim vanHooft, Anouschka R. Hof

“…However, the observed range shift patterns are idiosyncratic in rate and direction. Species traits, such as ecological, life‐history and movement traits, may play an important role in determining range shifts by influencing a species' capacity to shift successfully. …”
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Rehabilitation and Motion Symmetry Analysis With a TACX Smart Cycling Trainer Using Computational Intelligence by Hana Charvatova, Daniel Martynek, Alexandra Molcanova, Ales Prochazka

“…The research objectives include analysis of motion patterns, evaluation of motion symmetry under varying loads, and examination of heart rate responses to load variations. …”
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Prediction of Salinity Based on Meteorological Data Using the Backpropagation Neural Network Method by Anisa Nur Azizah, Dian C.R. Novitasari, Putroue Keumala Intan, Fajar Setiawan, Ghaluh Indah Permata Sari

“…This study conducted several backpropagation architectural experiments, that is the learning rate, hidden layer, and the number of nodes in the hidden layer to obtain the best results. …”
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Research on the disintegration characteristics of fissured loess under water–vibration coupling effect by Tao Lei, Jiading Wang, Shaotong Jiao

“…To reveal the disaster mechanisms, this study conducted water-vibration coupled disintegration tests on fissured loess using the self-developed EDS-600 vibration disintegration apparatus, based on the measured dominant vibration frequencies (12–46 Hz) of the Lanzhou-Qinghai Railway. The influence patterns of vibration frequency (f) and fissure type (t) on disintegration rate (S), disintegration velocity (V), and disintegration velocity growth rate ( $$\alpha_{f - t}$$ ) were systematically investigated, with scanning electron microscopy (SEM) employed to uncover microstructural evolution mechanisms. …”
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Financial Institutions and Agricultural development in Rwanda. A Case Study of Rwanda Development Bank. by Boniface, Kabahizi

“…On the basis of customers’ perception about RDB lending policy, it has been realized from the study that clients prefer RDB because of its attractive lending policy, it has been realized from the study that clients prefer RDB because of its attractive lending policy including reasonable interest rate and repayment patterns. The reasons behind this are the interest rate for agricultural sector and exportation loans is lower compared to other sectors financed by RDB. …”
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Two-step skeletization of binary images based on the Zhang-Suen model and the producing mask by J., Ma, V. Yu. Tsviatkou, V. K. Kanapelka

“…The aim of the work is to limit excessive thinning and increase the resistance to contour noise of skeletons resulted from arbitrary binary image shape while maintaining a high skeletonization rate. The skeleton is a set of thin lines, the relative position, the size and shape, which conveys information of size, shape and orientation in space of the corresponding homogeneous region of the image. …”
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Revisiting biomarker discovery by plasma proteomics by Philipp E Geyer, Lesca M Holdt, Daniel Teupser, Matthias Mann

“…However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry (MS)‐based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. …”
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