Time-series visual representations for sleep stages classification. by Rebeca Padovani Ederli, Didier A Vega-Oliveros, Aurea Soriano-Vargas, Anderson Rocha, Zanoni Dias

“…To address this, we evaluated visual representations of time series data collected from accelerometer and heart rate sensors in smartwatches. Techniques such as Gramian Angular Field, Recurrence Plots, Markov Transition Field, and spectrograms were implemented. …”
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Modeling Cut Rose Yield Over an 18‐Month Period After Compost Amendment Using Repeated Sigmoidal Gompertz Curve Fitting by E. A. deNijs, A. Tietema, R. Bol, E. E. vanLoon

“…As the crop matured, asymptote parameter estimates increased, while growth rate parameter estimates decreased, reflecting a stabilization of growth patterns. …”
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Clinical Spectrum of Pediatric Traumatic Brain Injury—A Prospective Observational Study by Shiji Chalipat, Sandeep Kumar, Sudhir Malwade, Vishwanath Kulkarni, Jeevana Bollineni

“…The mean duration of hospital stay was 5.29 ± 6.6 days. Overall mortality rate was 2%, good outcome was noted in 88 (92.6%) and poor outcome in seven children (7.3%). …”
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Asymmetric cell division of ALDH1-positive cancer stem cells generates glycolytic metabolically diverse cell populations by Shoma Tamori, Chika Matsuda, Takahiro Kasai, Shigeo Ohno, Kazunori Sasaki, Kazunori Akimoto

“…Here, we revealed that PKCλ-dependent asymmetric division of ALDH1-positive cancer stem cells (CSCs) led to an uneven distribution of glycolytic capacity, which is crucial for understanding metabolic heterogeneity within a tumor. The rate-limiting enzyme PFKP and the metabolic probe CDG in glycolysis codistributed with the ALDH1A3 protein during the post-cell division phase, highlighting a mechanism for acquiring metabolic diversity. …”
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A Hybrid Framework Integrating Traditional Models and Deep Learning for Multi-Scale Time Series Forecasting by Zihan Liu, Zijia Zhang, Weizhe Zhang

“…We evaluate the proposed framework on eight public datasets (electricity, exchange rate, weather, traffic, illness, ETTh1/2, and ETTm1/2) covering diverse domains and scales. …”
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Bayesian spatio-temporal conditional autoregressive localized modeling techniques for socioeconomic factors and stunting in Indonesia by Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono, Dian Handayani, Nurwan Nurwan

“…Assuming a Poisson likelihood for stunting counts, the optimal model was estimated using Markov Chain Monte Carlo methods and included two covariates, namely the poverty rate and the incidence of low birth weight, with up to five spatial clusters. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…An AUC of 98.2%, an F1-score of 96.8%, and a false positive rate of only 0.02% underline the model’s generalizability, accuracy, and resilience. …”
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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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Conspiracy Theories, Messianic Populism and Everyday Social Media Use in Contemporary Brazil: a Glocal Semiotic Perspective by Paolo Demuru

“…Using a semiotic approach to glocalization, I tackle one recurrent motif of global conspiracy theories: the domination of the elites over the people, which contributed to the election of Jair Bolsonaro in 2018, as well as to the rise of his approval rating in 2019 and 2020. I argue that this particular narrative feature has taken on, in Bolsonaro’s case, shapes and tones which are directly related to the local religious semiosphere, especially the Neo-Pentecostal evangelical messianism: indeed, the image of Bolsonaro as a national messiah is characterized by a high rate of mysticism, eschatology and aesthesic load, which are three of the main distinctive traits in Brazilian evangelicalism. …”
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Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China by Rui Yan, Mengya Yang, Hanqing He, Yan Feng, Yang Zhou, Xuewen Tang, Xuan Deng, Yao Zhu, Yuxia Du, Can Chen, Cao Kexin, Shigui Yang

“…According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. …”
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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…The adaptive gating mechanism, hierarchical nonlinear transformation, and effective capture of temporal dynamics in the LSTM significantly enhance the model’s ability to model complex nonlinear patterns. …”
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In2Se3 Synthesized by the FWF Method for Neuromorphic Computing by Jaeho Shin, Jingon Jang, Chi Hun Choi, Jaegyu Kim, Lucas Eddy, Phelecia Scotland, Lane W. Martin, Yimo Han, James M. Tour

“…By modulating the degree of polarization in α‐In2Se3 flakes according to the gate electrical pulses, these devices exhibit distinct essential synaptic behaviors. …”
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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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Title not available by Melissa Araújo Ulhoa, Nyam Florencio da Silva, José Guilherme Pinheiro Pires, Henrique de Azevedo Futuro Neto

“…In the present study, extracellular action potentials of NRO neurons were recorded in anesthetized rats, which were submitted to cold and warm stimuli in the tail. The firing rate of the neurons was compared before and after each stimulation. …”
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Les traces d’Ismaël Boulliau dans la poussière de l’histoire by Maguire, Conor

“…We apply the Google Ngram software to analyze the rate of referencing Boulliau’s work in the literature, in timeseries form. …”
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Application of flexible sensor multimodal data fusion system based on artificial synapse and machine learning in athletic injury prevention and health monitoring by XiaoLan Gai

“…The system achieves a 92.1% accuracy rate in the detection of improper motion patterns and prediction of injury risks, much higher than traditional methods. …”
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