Addressing Cognitive Bias in Adolescents with Neurodevelopmental Disorders Using 3-D Animated Serious Games by Suzanne Stewart, Stephen John Houghton, Leslie Macqueen

“…However, when these interrupted time series data were analyzed statistically, significant individual improvements were evident. …”
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The mediating effects of coping strategies between symptom clusters and quality of life in lung cancer patients undergoing immunotherapy by Xuying Yang, Jingcui Bai, Xiaohong Zhang

“…Abstract Objective Immunotherapy has significantly improved the survival rates of lung cancer patients. However, prevalent adverse immune reactions associated with this treatment can detrimentally affect their quality of life. …”
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Usability of an Immersive Augmented Reality Based Telerehabilitation System with Haptics (ARTESH) for Synchronous Remote Musculoskeletal Examination by Aleks Borresen, Cody Wolfe, Chung-Kuang Lin, Yuan Tian, Suraj Raghuraman, Klara Nahrstedt, Balakrishnan Prabhakaran, Thiru Annaswamy

“…The system employs novel engineering features: (a) a new force enhancement algorithm to improve force rendering and overcoming the “just-noticeable-difference” limitation; (b) an improved force compensation method to reduce the delay in force rendering; (c) use of the “haptic interface point” to reduce disparity between the visual and haptic data; and (d) implementation of efficient algorithms to process, compress, decompress, transmit and render 3-D tele-immersion data. …”
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Dynamics of a goshawk population across half a century is driven by the variation of first‐year survival by Michael Schaub, Volkher Looft, Floriane Plard, Jan A. C. vonRönn

“…Abstract Population dynamics are driven by stochastic and density‐dependent processes acting on demographic rates. Individuals differ demographically, and to capture these differences, models of population dynamics are usually structured by age and stage, rarely by sex. …”
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Assessment of Forest Fire Impact and Vegetation Recovery in the Ghalahmah Mountains, Saudi Arabia by Rahmah Al-Qthanin, Rahaf Aseeri

“…The study advances fire ecology research by combining multi-source remote sensing data and machine learning techniques to provide a comprehensive understanding of fire impacts and recovery processes in semi-arid mountainous regions. …”
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Comparing infrared imagery to traditional methods for estimating ringed seal density by Brent G. Young, David J. Yurkowski, J. Blair Dunn, Steven H. Ferguson

“…The different methods produced different density estimates with the infrared strip‐transect and line‐transect methods producing similar results that were, on average, approximately 2–3 times greater than strip‐transect analyses of observer data. Use of infrared imagery provides several advantages over traditional methods because it allows for more efficient and reliable detection of seals, eliminates the need for large teams of trained observers, and simplifies the process of data analysis and density estimation. © 2019 The Wildlife Society.…”
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Census 2022: Population of Serbia according to nationality by Raduški Nada

“…Ethno-demographic and ethno-statistical studies of the population of Serbia according to nationality are based on the census as the most important official source of data, which is held every ten years and provides information on demographic trends, the number and characteristics of all ethnic communities in Serbia, but also provides a database for the adoption of necessary measures population, social, economic, minority and other state policies important for the stable, even and prosperous development of the country. …”
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Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization by Costa Christopoulos, Ignacio Lopez‐Gomez, Tom Beucler, Yair Cohen, Charles Kawczynski, Oliver R. A. Dunbar, Tapio Schneider

“…Specifically, we use ensemble Kalman inversion to simultaneously calibrate both the EDMF parameters and the parameters governing data‐driven lateral mixing rates. The calibrated parameterization outperforms existing EDMF schemes, particularly in tropical and subtropical locations of the present climate, and maintains high fidelity in simulating shallow cumulus and stratocumulus regimes under increased sea surface temperatures from AMIP4K experiments. …”
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Model-Based Approach for Combustion Monitoring Using Real-Time Chemical Reactor Network by Pieter DePape, Igor Novosselov

“…The CRN trends agree with the data: the calculated concentrations of hydroxide (OH), O-atom, and H-atom monotonically decrease with the reduction of Φ. …”
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Optimized memory allocation in edge-PLCs using Deep Q-Networks and bidirectional LSTM with Quantum Genetic Algorithm by N. Naveen Kumar, S. Saravana, S. Balamurugan, P. Seshu Kumar, S. Suresh

“…The DQN component learns to optimize memory allocation policies based on immediate rewards and feedback, while the BiLSTM network captures long-term dependencies in data, enhancing predictive modeling for future data arrival rates. …”
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Uncovering antidepressant prescription patterns: a three-year analysis of outpatient trends by Hossein Karami, Reza Mehrizi, Mohammad Effatpanah, Azamsadat Rivandi, Rajabali Daroudi, Nezam Armand, Leila Ghamkhar

“…ADs were classified into four groups: tricyclic antidepressants (TCAs), selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors (SNRIs), and atypical ADs. The data were processed via the cross-industry standard process for data mining and analyzed using a multivariate logistic regression model. …”
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Ischemic and Pharmacological Preconditioning (part 2) by V. V. Likhvantsev, V. V. Moroz, O. A. Grebenchikov, Yu. I., Gorokhovatsky, Yu. V. Zarzhetsky, S. S. Timoshin, D. I. Levikov, V. L. Shaibakova

“…The problems of remote preconditioning and post-conditioning are touched upon. The available data on the impact of choosing an anesthetic mode on the course of immediate and long-term postoperative periods and mortality rates are analyzed; the problem of the old heart is discussed. …”
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Extension Model for Safety Appraisal of Existing Concrete Members Based on an Improved Comprehensive Weighting Method by Hengyu Zhou, Yongbo Yuan, Chenlong Liu, Chao Wu, Mingyuan Zhang

“…The proposed model makes full use of inspection data and gives a clear safety level to decision makers avoiding disorganized data of a single index. …”
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Probing 8th Grade Students’ Conception about Heat and Temperature Using Three-Tier Test : A Case Study by V Setyaningrum, W Sopandi

“…The aim of this study is to investigate the various categories of students' conceptions about heat and temperature, so that the misconceptions that students may have can be prevented and regenerated as early as possible.The subjects of this study were 203 8th grader students in one of the Junior High Schools in Mempawah District, West Kalimantan. Data was collected using a three-tier test developed by Kusumah (2013), questionnaire and interview.The data were analyzed and categorized based on their configuration of the answer, the reasons and confident rating index. …”
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How breakthroughs happen: Unearthing the boundary conditions of eco-friendly deliberate practice and eco-innovation performance. by Yin-Shi Jin, Asia Sohail, Shahid Iqbal, Tehreem Fatima, Arslan Ayub

“…The study collects time-lagged (i.e., "three-wave") and multisource (i.e., "self-rated and supervisor-rated") data from 383 respondents working in the service sector organizations in Pakistan. …”
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Opportunities and limitations of introducing artificial intelligence technologies into reproductive medicine by V. A. Lebina, O. Kh. Shikhalakhova, A. A. Kokhan, I. Yu. Rashidov, K. A. Tazhev, A. V. Filippova, E. P. Myshinskaya, Yu. V. Symolkina, Yu. I. Ibuev, A. A. Mataeva, A. N. Sirotenko, T. T. Gabaraeva, A. I. Askerova

“…Notably, the introduction of ART methods, particularly in vitro fertilization (IVF), has led to markedly increased birth rates over the past two decades. Studies show that machine learning algorithms can process images of embryos to assess their quality, thus facilitating the selection of the most viable among them for transfer. …”
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Assessing the Time for Living and Caring (TLC) Study: Mixed-Methods Feasibility Study of a Web-Based Caregiver Intervention to Improve Respite by Amber D Thompson, Alexandra L Terrill, Michael Caserta, Bob Wong, Eli Iacob, Catharine Sparks, Louisa Stark, Rebecca L Utz

“…Intervention research should prioritize the measurement of feasibility throughout all of the stages of intervention development and evaluation to provide the essential feedback loop needed for the iterative development and refinement process. ObjectiveWe describe the methodology and data used to assess the feasibility, usability, and acceptability of the Time for Living and Caring (TLC) intervention, a technology-delivered intervention (app) for dementia caregivers to improve respite time use. …”
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Application of principal component analysis and Artificial neural networks for the prediction of QoS in FSO links over South Africa by S.O Adebusola, P.A Owolawi, J.S Ojo, P.S Maswikaneng, A.O Ayo

“…FSO is preferred over Radio Frequency (RF) systems, as it works in the optical band, and hence there are higher data rates as well as improved susceptibility to electromagnetic interferences. …”
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Detecting Simulated Nosocomial Disease Outbreaks with Sequential Monte Carlo Methods by Dr Conor Rosato

“…We extend the PF to make daily inferences on whether Model 1 or Model 2 was used in the data generation process. Results: We demonstrate the effectiveness of our approach through simulations that use multiple runs of synthetic data with random outbreaks included within the time-series of infected individuals. …”
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PENGEMBANGAN SISTEM INFORMASI JURUSAN BERBASIS WEB UNTUK MENINGKATKAN PELAYANAN DAN AKSES INFORMASI by M.A. Muslim

“…</p><p> </p><p>The computer is a tool that can run computer-based information. Incoming data will be processed in a precise, accurate, and easy to access. …”
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