Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test) by Jose Albites-Sanabria, Pierpaolo Palumbo, Ilaria D'Ascanio, Tecla Bonci, Marco Caruso, Francesca Salis, Andrea Cereatti, Silvia Del Din, Lisa Alcock, Arne Kuederle, Anisoara Paraschiv-Ionescu, Eran Gazit, Felix Kluge, Cameron Kirk, M. Encarna Mico-Amigo, Kirsty Scott, Clint Hansen, Jochen Klenk, Lars Schwickert, Dimitrios Megaritis, Ioannis Vogiatzis, Clemens Becker, Walter Maetzler, Jeffrey M. Hausdorff, Brian Caulfield, Beatrix Vereijken, Lynn Rochester, Arne Muller, Claudia Mazza, Ilaria Carpinella, Thomas Bowman, Roberta De Ciechi, Alessandro Torchio, Davide Cattaneo, Simona Bianchi, Maurizio Ferrarin, Pericle Randi, Lucrezia Piraccini, Angelo Davalli, Lorenzo Chiari, Luca Palmerini

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Professional competence assessment of dispensary pharmacy technician. A methodological strategy. by María Cristina Núñez Martínez

“…<strong>Background:</strong> The assessment of professional competences in one of the four principles the support training and improvement of human resources in health system; there are problems in this process that obstruct its correct assessment. <strong><br />Objective: </strong>To ratify a methodological strategy to solve gaps in the assessment process of technicians’ professional competences. …”
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Intelligent anti-jamming decision algorithm of bivariate frequency hopping pattern based on ET-PPO by Yibo CHEN, Zhijin ZHAO

“…In order to further improve its anti-interference ability in complex electromagnetic environment, a PPO algorithm based on weighted importance sampling and eligibility traces (ET-PPO) was proposed.On the basis of the traditional frequency hopping pattern, time-varying parameters were introduced, and the bivariate frequency hopping pattern decision problem was modeled as a Markov decision problem through the construction of the state-action-reward triple.Aiming at the high variance problem of the sample update method of an actor network of the PPO algorithm, weighted importance sampling was introduced to reduce the variance, and the action selection strategy of Beta distribution was used to enhance the stability of the learning stage.Aiming at the problem of slow convergence speed of the evaluator network, the eligibility trace method was introduced, which better balanced the convergence speed and the global optimal solution.The algorithm comparison simulation results in different electromagnetic interference environments show that ET-PPO has better adaptability and stability, and has better performance against obstruction interference and sweep frequency interference.…”
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ESTIMATE AND ANALYSIS OF VOCATIONAL TRAINING SCHOOL (IEK) STUDENTS’ SATISFACTION REGARDING THE QUALITY OF STUDIES PROVIDED BY THESE SCHOOLS by Sofia ANASTASIADOU, Thomas FOTIADIS, Lazaros ANASTASIADIS, George IAKOVIDIS, Xristina FOTIADOU, Chrysanthi TILIAKOU

“…Students’ satisfaction goes beyond teachers’ evaluation, which is a short sighted perspective, and includes wider concepts of students’ learning experience. In this context, knowing the degree of satisfaction is not enough. …”
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A probabilistic gap based condition prediction approach for desulfurization slurry circulating pump by Jiaxing Zhu, Buyun Sheng, Junlan Hu, Yanfei Li, Ruiping Luo, Yue Shi

“…However, predicting the condition of DSC pumps is hindered by a lack of samples, obstructing field development. This paper proposes a solution using probabilistic gap positive-learning (PGPU) and biased SVM algorithms. …”
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Multicultural Preaching Across Generations: A Proposal for Effective Preaching to Young Generations in the Great Dechurching by Jaewoong Jung

“…I describe this as conversational preaching that seeks mutual listening and learning based on equal and reciprocal relationships across generations, as well as the recognition of cultural differences across generations.…”
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The Role of AI in Historical Simulation Design: A TPACK Perspective on a French Revolution Simulation Design Experience by Björn Kindenberg

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Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Initial Access Implementation, and Task-2 Approach by Rafid I. Abd, Daniel J. Findley, Kwang Soon Kim

“…Furthermore, we employed a multi-sparse input and multi-task learning (SMTL) framework in the Hydra distributed unit (H-DU) artificial intelligence and machine learning (AI/ML) (AI/ML D-engine), where each task is tailored to be executed in a particular environment based on online feedback. …”
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A Semantic Segmentation-Based GNSS Signal Occlusion Detection and Optimization Method by Zhe Yue, Chenchen Sun, Xuerong Zhang, Chengkai Tang, Yuting Gao, Kezhao Li

“…Existing research fails to effectively address the problem of increased GNSS positioning errors caused by non-line-of-sight (NLOS) and line-of-sight (LOS) signal attenuation due to obstructions such as buildings and trees in complex urban environments. …”
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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The time-domain features of the reconstructed signals are computed, and the feature vectors are constructed, which are used as inputs to the deep learning network; the CNN combined with the support vector machine (SVM) network model is used for the extraction of the features and the classification of the faults. …”
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Correcting Reflux Laparoscopically by Eric C Poulin, Christopher M Schlachta, Joseph Mamazza

“…However, most surgeons who have completed the learning curves of these procedures believe that most minimally invasive techniques will be scientifically recognized soon. …”
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CHARACTER BUILDING ANAK USIA DINI MELALUI OPTIMALISASI FUNGSI PERMAINAN TRADISIONAL BERBASIS BUDAYA LOKAL by Rifa Suci Wulandari, Hestri Hurustyanti

“…<em>This research aims to know the application of traditional games based on local culture to develop honesty character and its supporting and obstructing factors at TK Pancasila. The researcher used qualitative descriptive research. …”
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Prediction of Chlorophyll-a Concentration Distribution Using Generative Adversarial Network (GAN) Algorithm on Processed Remote Sensing Images by Wattaqwa Amira Zul’Ilmi, Jaya Indra, Iqbal Muhammad

“…Therefore, deep learning methods with Generative Adversarial Network (GAN), especially Pix2PixHD can be an alternative for predicting chlorophyll-a distribution. …”
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Urbach-Wiethe syndrome: report of two clinical cases by Ilaria Demofonte, Emanuele Miraglia, Giovanni Pellacani, Sandra Giustini

“…Infiltration of the respiratory system can cause upper respiratory tract infections, hoarseness or aphonia, dysphagia, and even airway obstruction. Dystonia, epileptic seizures, and learning disorders may be observed in affected children. …”
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U-Surf: a global 1&thinsp;km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling by Y. Cheng, L. Zhao, L. Zhao, L. Zhao, T. Chakraborty, K. Oleson, M. Demuzere, X. Liu, Y. Che, W. Liao, Y. Zhou, X. “. Li

“…This deficiency has long obstructed the development of urban-resolving Earth system models (ESMs) and ultra-high-resolution urban climate modeling, over large domains. …”
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Attention-GANs: An Advanced GNSS Data Augmentation Method for Improved NLOS/LOS Classification by S. Nie, H. Yang

“…Global Navigation Satellite System (GNSS) positioning in urban environments remains challenging due to signal obstructions and reflections caused by tall buildings, trees, and overpasses. …”
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THE IMPACT OF EFFECTIVE RECESS DURATION ON ACADEMIC PERFORMANCE OF ELEMENTARY SCHOOL CHILDREN by Sajid Hussain, Muhammad Awais, Rana Ibrar Ali

“…Breaks during continued subjective undertakings should lessen psychological obstruction and boost learning and accomplishment.                   …”
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MHFS-FORMER: Multiple-Scale Hybrid Features Transformer for Lane Detection by Dongqi Yan, Tao Zhang

“…Although deep learning has exhibited remarkable performance in lane detection, lane detection remains challenging in complex scenarios, including those with damaged lane markings, obstructions, and insufficient lighting. …”
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Implementation of Indoor 4G Signal Interference Detection using USRP B210 and RTL-SDR by Ciksadan Ciksadan, Feri Thabroni, Suroso Suroso

“…This approach proves effective for indoor signal monitoring and can be further developed to support automation using machine learning techniques.…”
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Model Konseptual bagi Pengembangan Knowledge Management di SMA Menggunakan Soft System Methodology by Eric Megah Perdana, Danny Manongga, Ade Iriani

“…According to the fact above, SMAK 1 Penabur Jakarta needs a knowledge management in order to help the teaching and learning proses. This research is using the method. …”
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