Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. …”
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Calibrated muscle models improve tracking simulations without enhancing gait predictions. by Filippo Maceratesi, Míriam Febrer-Nafría, Josep M Font-Llagunes

“…<h4>Objectives</h4>This study presents two main aims: (i) to assess functionally-calibrated musculoskeletal models (FCMs) in both tracking and predictive simulations of human motion, against non-linearly scaled models (NSMs), and (ii) to examine the effects of three different variations of our baseline functional calibration approach on the results of tracking and predictive simulations.…”
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A novel ubiquitin-related genes-based signature demonstrated values in prognostic prediction, immune landscape sculpture and therapeutic options in laryngeal cancer by Lu Liu, Lu Liu, Lu Liu, Lu Liu, Bing Wang, Xiaoya Ma, Xiaoya Ma, Lei Tan, Lei Tan, Lei Tan, Xudong Wei, Xudong Wei

“…As evaluated, the low-risk group had a more activated immune function, higher infiltration of anti-cancer immune cells and stronger expression of immune-promoting cytokines than the high-risk group. …”
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GROG Facilitated Compressed Sensing for Radial MRI by Yumna Bilal, Ibtisam Aslam, Muhammad Faisal Siddiqui, Omair Inam, Kashif Amjad, Jawad Hasan Alkhateeb, Hammad Omer

“…Addressing these challenges typically involves the use of a GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) operator generated Bunched Phase Encoding data together with a conjugate gradient (CG) reconstruction algorithm, that mimics the functionality of the oscillating gradients required for bunched phase encoding sampling. …”
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Just the Kitchen. On Food Preparation in the Late Middle Ages and Early Modern Period by Anna Marciniak-Kajzer

“…These are usually separate buildings, functioning as back-of-house facilities. The former were located separately, most probably because of the fire hazard, and the latter perhaps because of the odours that were generated by the brewing process and the maturation or drying of the cheeses. …”
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Praticare l’intersezionalità nei centri antiviolenza: l’accoglienza delle donne migranti, richiedenti asilo e rifugiate by Chiara Carbone

“…Structural violence is identified through the recognition of language and cultural barriers (Crenshaw 1991), institutional-bureaucratic barriers and legal barriers, obstacles that contribute to making women in different ways and to different degrees more vulnerable and subject to forms of violence on the basis of specific dynamics, which are generated by the intersection of some axes, for example gender, ethnicity and social class membership.  …”
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Performance Study of Non-Contact Membrane Distillation Engineering Prototype for Treatment of Radioactive Wastewater by Bao-lin WANG, De-tao XIAO, Zheng-zhong HE, Xing-feng YANG, Cheng-lin LI

“…The non-contact MD method, however, minimizes the direct interaction between the membrane and feed solution, thereby markedly extending the membrane’s functional lifespan and enhancing its flux stability, rendering it more suitable for long-term, large-scale deployment. …”
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First-principles investigations on the conducting photocatalytic behaviour in SrZrxGe1−xO3 (x = 1, 0.96, 0.92 and 0.88) by Ajoy Kumer, Khondaker Afrina Hoque, Unesco Chakma, Bikram Dhara, Taha Alqahtani, Humood Al Shmrany, Ali Alqahtani, Mustafa. M. Mundu, Daniel E. Uti

“…Abstract Strontium Zirconate (SrZrO₃) is a well-known perovskite-type material that has generated significant interest in materials research due to its unique structural and functional features. …”
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Data processing and exchange tools to facilitate chemical genetic screening processes by Benjamin Leblanc, Adrien Coulet, Estelle André, Franck Molina, Jean-Paul Leonetti

“…Due to the development of chemical genomics, the screening of chemical libraries is used more and more by research laboratories to identify small molecule inhibitors or activators of cell functions. …”
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Cumulative versus Gravity-based Accessibility Measures: Which One to Use? by Manuel Santana Palacios, Ahmed El-geneidy

“…Using data on commute patterns and public transport schedules from Montreal, Canada, we find cumulative opportunities-based measures estimated at the mean transit commute time and gravity-based measures generated through various decay functions are highly correlated -- all above 0.9. …”
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Choice of activation protocol impacts the yield and quality of CAR T cell product, particularly with older individuals by Palak H Mehta, Gemma S Trollope, Patrick Leung, Shivali Savita Chinni, Anna Iasinskaia, Aaron J Harrison, Hannah Hughes‐Parry, Misty R Jenkins, Michael H Kershaw, Anthony Jaworowski, Clare Y Slaney, Rachel M Koldej, David S Ritchie, Kylie M Quinn

“…Results Older samples generated fewer, more differentiated CAR T cells than young samples, and the αCD3/CD28 mAb protocol exacerbated this, further reducing yield and quality. …”
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ELTD1 inhibits differentiation of hemogenic endothelium progenitors from human embryonic stem cells through the HPIP–Wnt pathway by Qian Luo, Yijin Chen, Honghu Li, Yan Long, Wei Shan, Xiangjun Zeng, Shuyang Cai, Ye Meng, Cong Wei, Yulin Xu, Ruxiu Tie, Yi Luo, Pengxu Qian, Meng Zhang, He Huang

“…We then investigate the impact of ELTD1 on the hematopoietic differentiation of hESCs via gain- and loss-of-function experiments. Knockdown or deletion of ELTD1 mediates hESC hematopoiesis by specifically facilitating the generation of HEPs, thus promoting endothelial-to-hematopoietic transition to generate more hematopoietic cells. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

“…Three machine learning algorithms were introduced: Partial least squares regression (PLSR), backpropagation neural network (BPNN), and support vector machine (SVM) driven by a polynomial kernel function (Poly). Three distinct soil TN inversion models were constructed using these algorithms. …”
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Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey–Markov Model by Wei Jiang, Jianzhong Zhou, Yanhe Xu, Jie Liu, Yahui Shan

“…Aiming at the complexity of intrinsic mode functions (IMFs) generated by CEEMDAN, an IMFs reconstruction strategy based on permutation entropy is developed to better characterize the degradation states. …”
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The analyses of structural covariance and structural covariance similarity of cortical morphological measures by Xi Zhang, Yanmin Peng, Dongyue Li, Ailin Hou, Meng Liang, Chunshui Yu

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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…The simulation results show that: After optimization, the path length of the ant colony algorithm is shortened by 16.53% and 16.79% respectively in the scenario with fewer and more obstacles. Moreover, the path quality is effectively improved by reducing the path inflection point, making the path generated by the algorithm more in line with the actual demand. …”
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Evaluation of MODIS and VIIRS BRDF Parameter Differences and Their Impacts on the Derived Indices by Chenxia Wang, Ziti Jiao, Yaowei Feng, Jing Guo, Zhilong Li, Ge Gao, Zheyou Tan, Fangwen Yang, Sizhe Chen, Xin Dong

“…The results confirm that among the three BRDF parameters, the isotropic scattering parameters of MODIS and VIIRS are more consistent, whereas the volumetric and geometric-optical scattering parameters are more sensitive and variable; this performance is more pronounced in the red band. …”
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Gut microbiota modulates depressive-like behaviors induced by chronic ethanol exposure through short-chain fatty acids by Hui Shen, Chaoxu Zhang, Qian Zhang, Qing Lv, Hao Liu, Huiya Yuan, Changliang Wang, Fanyue Meng, Yufu Guo, Jiaxin Pei, Chenyang Yu, Jinming Tie, Xiaohuan Chen, Hao Yu, Guohua Zhang, Xiaolong Wang

“…Conclusion SCFAs not only mitigate damage to intestinal structure and function but also alleviate various lesions in the central nervous system, such as neuroinflammation, and reduce anxiety and depression-like behaviors, which were triggered by transplantation with fecal microbiota that had been affected by chronic ethanol exposure, adding more support that SCFAs serve as a bridge between the gut and the brain.…”
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Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

“…Different sets of attributes are studied using an artificial neural network (ANN), which is optimized in terms of the number of hidden layers and the activation function. After that, an improved machine learning (ML) architecture is built using the K-nearest neighbors (KNN) classifier on each cluster generated by applying the pre-trained ANN to the training set. …”
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Generalization Enhancement Strategies to Enable Cross-Year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples by Sam Khallaghi, Rahebeh Abedi, Hanan Abou Ali, Hamed Alemohammad, Mary Dziedzorm Asipunu, Ismail Alatise, Nguyen Ha, Boka Luo, Cat Mai, Lei Song, Amos Olertey Wussah, Sitian Xiong, Yao-Ting Yao, Qi Zhang, Lyndon D. Estes

“…To address this, we focused on improving model generalization without relying on yearly labels through a holistic approach that integrates several techniques, including an area-based loss function, Tversky-focal loss (TFL), data augmentation, and the use of regularization techniques like dropout. …”
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