Speed-dependent changes in the arm swing during independent walking in individuals after stroke. by Daan De Vlieger, Arne Defour, Lynn Bar-On, Dirk Cambier, Eva Swinnen, Ruth Van der Looven, Anke Van Bladel

“…More upper limb impairment (r = -0.521, p<0.01) and a wider step width (r = 0.534, p<0.01) were related to a larger increase in mean elbow flexion during faster walking.…”
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Analgesia and sedation strategies in neonates undergoing whole-body therapeutic hypothermia: A scoping review. by Mahima Joshi, Javed Muneer, Lawrence Mbuagbaw, Ipsita Goswami

“…Dexmedetomidine has additional benefits of thermal tolerance, neuroprotection, faster recovery, and less likelihood of seizures. …”
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Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning by Mattia Piccinini, Simon Gottschalk, Matthias Gerdts, Francesco Biral

“…In autonomous racing, motion primitives have been used as computationally faster alternatives to model predictive control, for online obstacle avoidance. …”
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Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

“…Building upon our previous work, we propose a new deep learning-based method, EDNet, for cell detection, tracking, and motility analysis that is more robust to shape across different cell lines, and models cell lineage and proliferation. …”
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Surfaces environmental monitoring of SARS-CoV-2: Loop mediated isothermal amplification (LAMP) and droplet digital PCR (ddPCR) in comparison with standard Reverse-Transcription qua... by Simona Spiteri, Irene Salamon, Luna Girolamini, Maria Rosaria Pascale, Federica Marino, Carlo Derelitto, Laura Caligaris, Simone Paghera, Manuela Ferracin, Sandra Cristino

“…By contrast, specificity (SP) was higher for RT-LAMP (75%) respect to ddPCR (66%). Comparing the faster RT-LAMP with the sensitive ddPCR the 26% and 74% of SE and SP for RT-LAMP, were reported. …”
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A new process for extracting vanadium by direct calcification using the heat of molten vanadium slag by Qu J.-W., Zhang T.-A., Lv G.-Z., Chen Y.

“…Compared with the traditional process, the new process saved much energy, and it was faster and more efficient. The XRD results showed that CaV2O5, Ca7V4O17, and Ca3V2O8 were gradually formed in the molten vanadium slag with increasing CaO addition. …”
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Modulated Model Predictive Speed Controller for PMSM Drives Employing Voltage-Based Cost Function by Ahmed Aboelhassan, Shuo Wang, Giampaolo Buticchi, Vasyl Varvolik, Michael Galea, Serhiy Bozhko

“…On the other hand, modulated model predictive control (M²PC) has been employed recently for different applications for faster dynamic response and better power quality. …”
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Standardised packaging, minimum excise tax, and RYO focussed tax rise implications for UK tobacco pricing. by Rosemary Hiscock, Nicole H Augustin, J Robert Branston, Anna B Gilmore

“…<h4>Methods and findings</h4>Nielsen electronic point of sale (EPOS) data (May 2015 to April 2018) were used to calculate real (inflation adjusted) monthly price per stick overall, by cigarette type (FM and RYO) and by seven market segments. …”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

“…Results: The AutoLDP system was 20 times faster than manual labeling. The files per minute in the solid-state drives of CRAFT ​+ ​ParSeq were the highest among all methods at 136.95 in validation set 1 and 170.95 in validation set 2. …”
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System-Technology Co-Optimization for Dense Edge Architectures Using 3-D Integration and Nonvolatile Memory by Leandro M. Giacomini Rocha, Mohamed Naeim, Guilherme Paim, Moritz Brunion, Priya Venugopal, Dragomir Milojevic, James Myers, Mustafa Badaroglu, Marian Verhelst, Julien Ryckaert, Dwaipayan Biswas

“…Our exploration with two diverse workloads&#x2014;image resolution enhancement (FSRCNN) and eye tracking (EDSNet)&#x2014;shows that more resources allow better workload mapping possibilities, which are able to compensate peak system energy efficiency degradation on high memory capacity cases. …”
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Interfacial reaction and thermomigration of copper/indium joints by Zi-Yu Huang, Yen-Ju Chu, Cheng-En Ho, Yu-An Shen, Chih-Ming Chen

“…The thermomigration effect is significant in copper/indium/copper joints, wherein the Cu11In9 phase at the cold end grows at a much faster rate than does that at the hot end. …”
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Gaussian Function Fusing Fully Convolutional Network and Region Proposal-Based Network for Ship Target Detection in SAR Images by Peipei Zhang, Guokun Xie, Jinsong Zhang

“…The traditional SAR ship detection methods usually consist of two modules, one module named land-sea segmentation for removing the complicated land regions, and one module named ship target detection for realizing fine ship detection. …”
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Hierarchical data grid resource allocation based on quotient space theory by Chun-zhong XIA, Shun-lin SONG

“…In order to solve the problems of falling into local optimum value and converging too slowly when allocating resources in hierarchical data grid using traditional algorithms,the granular computing was introduced and a quotient space theory based hierarchical data grid resource allocation (QSHDGRA) algorithm was proposed.Firstly,the charac-teristics of hierarchical data grid were analyzed.Secondly,a reconciling model of minimum average waiting time and maximum network and node resource utilization was defined,and then the QSHDGRA algorithm was designed.The al-gorithm can allocate resources from coarse granularities to fine ones,so it can guarantee the QoS of different businesses and make global optimal resource allocation.Simulation results show that QSHDGRA can improve overall system throughput with faster convergence speed and linear scalability.…”
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SGC Tests for Influence of Material Composition on Compaction Characteristic of Asphalt Mixtures by Qun Chen, Yuzhi Li

“…Based on analysis of densification curve of gyratory compaction, influence rules of the contents of mineral aggregates of all sizes and asphalt on compaction characteristic of asphalt mixtures were obtained. SGC Tests show that, for the mixture with a bigger content of asphalt, its density increases faster, that there is an optimal amount of fine aggregates for optimal compaction and that an appropriate amount of mineral powder will improve workability of mixtures, but overmuch mineral powder will make mixtures dry and hard. …”
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Review of the application of intelligent speech technology in education by Gao Jianqing, Wan Genshun, Wu Kui, Fu Zhonghua

“…With the help of intelligent speech technology, people can acquire knowledge faster, learn languages more efficiently, and even communicate by using different languages. …”
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Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy by LI Gang, WU Qi, WANG Xiang, LUO Hao, LI Lianghong, JING Xiaorong, CHEN Qianbin

“…Firstly, the anti-jamming strategy network and entropy prediction network were designed based on neural networks. Then, the anti-jamming strategy network and entropy prediction network were trained with the samples of the spectrum waterfall, which were formed by performing the short-time Fourier transform to the received signals. …”
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Leveraging Blockchain and AI for Pharma Supply Chain Efficiency by Mohan Venkataraman

“…This includes enhanced patient safety, reduced costs, and faster time-to-market for new drugs. The presentation provides a concise view of the health care supply chain processes and discusses AI patterns such as RAG, GAM and Fine-Tuning methods such as LoRA and QLoRa that can help in building trust in the supply chain.…”
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Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network by Zhiting Yao, Xiyuan Chen

“…For self-driving vehicles, detecting lane lines in changeable scenarios is a fundamental yet challenging task. …”
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Facioscapulohumeral muscular dystrophy: a review of pathogenesis, clinical symptoms, and treatment by T. Mikalauskas, B. Burnytė

“… Facioscapulohumeral muscular dystrophy is the third most common muscular dystrophy characterised by weakness of the face, scapula, upper arm, and other muscles. It can also lead to problems with the eyes, hearing, breathing, heart, and central nervous system. …”
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