Recruiting patients into a healthcare services trial: lessons learned from a feasibility study to investigate a patient-oriented navigation intervention for age-associated diseases by Kathrin Gödde, Hella Fügemann, Ulrike Grittner, Raphael Kohl, Andreas Meisel, Thomas Reinhold, Nina Rieckmann, Susanne Schnitzer, P. Markus Deckert, Nikolaj Frost, Christian H. Nolte, Stephan J. Schreiber, Ute Goerling, Christine Holmberg

“…Results The data from the screening and recruitment process show that 74-76.5% of stroke patients and 91–93% of lung cancer patients were eligible to take part in the study. …”
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AN INTERFERENCE-IMMUNE COMMUNICATION SYSTEM FOR DIGITAL DATA TRANSMISSION BASED ON A MULTI-CHANNEL CORRELATOR Part 2. DEVELOPMENT OF A CORRELATION-TYPE TRANSCEIVER BASED ON A MULTI... by A. V. Varavin, G. P. Ermak, D. P. Kudryavtsev, O. S. Vasiliev, M. V. Balaban, S. S. Melnyk, V. M. Zheltov, O. V. Fateev

“…This includes testing and hardware checks for software solutions related to data reception, conversion, processing, and mapping. …”
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Justifying the selection of a neural network linguistic classifier by Олеся Барковська, Ксенія Воропаєва, Олександр Руських

“… The subject matter of this article revolves around the exploration of neural network architectures to enhance the accuracy of text classification, particularly within the realm of natural language processing. The significance of text classification has grown notably in recent years due to its pivotal role in various applications like sentiment analysis, content filtering, and information categorization. …”
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AN INTERFERENCE-IMMUNE COMMUNICATION SYSTEM FOR DIGITAL DATA TRANSMISSION BASED ON A MULTI-CHANNEL CORRELATOR Part 1. DEVELOPMENT OF A SIGNAL FORMATION AND DECODING ALGORITHM FOR T... by A. V. Varavin, H. P. Yermak, D. P. Kudryavtsev, O. S. Vasiliev, M. V. Balaban, S. S. Melnyk, V. M. Zheltov, O. V. Fateev

“…An algorithm has been developed for generating and decoding from a sub-noise spread spectrum correlation communication system using DSSS technology. The processes of data formation and transmission by noise-like signals based on the Gold codes have been modeled. …”
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Enhancing referrals to Child and Adolescent Mental Health Services: the EN-CAMHS mixed-methods study by Kathryn M Abel, Pauline Whelan, Lesley-Anne Carter, Heidi Tranter, Charlotte Stockton-Powdrell, Kerry Gutridge, Lamiece Hassan, Rachel Elvins, Julian Edbrooke-Childs

“…Add in-person aspects where this is achievable at low cost (or can provide clear cost savings). Like to haves: Develop a referral process that can adapt to local/regional variation in CAMHS/alternatives. …”
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Context, implementation and mechanisms of impact of a stepped-care WHO psychological intervention for migrants with psychological distress by Beatrice Compri, Giulia Turrini, Marianna Purgato, Richard Bryant, Paula Cristobal, Josep Maria Haro, Raffael Kalisch, Vincent Lorant, David McDaid, Kerry R. McGreevy, Roberto Mediavilla, Michela Nosè, A-La Park, Papoula Petri-Romão, Aurélia Roversi, Marit Sijbrandij, Andrea Tortelli, Anke Witteveen, Corrado Barbui

“…Scalable interventions like Doing What Matters in Times of Stress (DWM) and Problem Management Plus (PM+) have been developed to address these challenges. …”
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Timing of singleton births by onset of labour and mode of birth in NHS maternity units in England, 2005-2014: A study of linked birth registration, birth notification, and hospital... by Peter Martin, Mario Cortina-Borja, Mary Newburn, Gill Harper, Rod Gibson, Miranda Dodwell, Nirupa Dattani, Alison Macfarlane

“…Spontaneous births after spontaneous onset are more likely to occur between midnight and 6am than at other times of day, and are also slightly more likely on weekdays than at weekends and on public holidays. …”
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Investigating amygdala nuclei volumes in military personnel with post-traumatic stress disorder, major depressive disorder, and adjustment disorder: A retrospective cross-sectional... by Thiemo Knaust, Dagmar Tarnogorski, Matthias B D Siebler, Philipp Skiberowski, Christian Moritz, Helge Höllmer, Holger Schulz

“…The amygdala, particularly the basolateral complex involved in fear-related memory formation and extinction recall, plays a crucial role in emotional processing. Abnormalities in these amygdala nuclei are implicated in PTSD and may distinguish it from other disorders like MDD and AdjD, where these mechanisms are less central. …”
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Advances of Observation and Study on Tall-object Lightning in Guangzhou over the Last Decade by Lü Weitao, Chen Lüwen, Ma Ying, Qi Qi, Wu Bin, Jiang Ruijiao

“…Hundreds of tall-object lightning flashes have been captured during 2009-2018.For the lightning attachment process, tall-object will play the role of "magnifier":The TOLOG high-speed optical observation discovers the connection of the downward negative leader to the lateral surface of the upward connecting leader for the first time, and shows two basic types of the leader connection behaviors during the attachment process in negative cloud-to-ground lightning; the fine structure of negative stepped leader in natural lightning at close distance is revealed by using high-speed video records; the 2D/3D propagation characteristics of downward and upward leaders are analyzed; and the striking distances of lightning flashes to tall-object with different heights are also estimated.Tall-object plays an "amplifier" role on lightning electromagnetic field:Statistical analysis of the TOLOG data show that the magnetic field peak values induced by the first return stroke of lightning flashes to objects higher than 200 m is 2.4 times of that of lightning flashes to objects lower than 200 m; the higher the tall-object is, the larger the lightning location system inferred peak current of strokes are recorded in the vicinity of the tall-object; and the numberical simulation of the tall-object on electromagnetic field of lightning return stroke also show that the height of tall-object has significant enhancing effects.Tall-object is the "hot spot" of downward and upward lightning:Attraction effects of tall-object on downward lightning can protect other objects near tall-object from lightning strikes; the upward negative lightning from the tall-object can be triggered by the return stroke, the continuing current or the discharging process in cloud of positive cloud-to-ground lightning; and in upward lightning, abrupt extension is found at the positive end of the recoil leader which propagates bidirectionally.Using data of the TOLOG, the detection efficiency, the location error and the systematic bias of lightning location systems in Guangdong are evaluated, showing that the observation area of the TOLOG can be used as a "calibration field" for ground-based or space-based lightning monitoring system.…”
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A route selection process using a multicriteria decision-making (MCDM) approach based on the simple additive weighting (SAW) method: Evidence from Thai fresh fruit exported to Chin... by Thanasit Nitayaprapha, Jessada Pochan, Boonsub Panichakarn, Supakyada Kulthunyahirun

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Development and validation of an instrument to evaluate school-health implementation: a sequential mixed-methods approach by Kate E. Storey, Roman Pabayo, Samuel A.J. Lowe, Erin L. Faught, Kacey C. Neely, Stephen Hunter, Genevieve Montemurro

“…Conclusions This study adds to the existing knowledge base for CSH implementation, through the development of a user-friendly evaluative tool for ongoing data collection related to healthy school community process indicators, with encouraging pilot results. …”
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Assessing cross cultural urban park emotional wellbeing impact in Shanghai and London by Zijuan Zhao, Qingying He, Yaqiong Zhang, Sidi liu, Ying Yang

“…This study aims to compare the cross-cultural impact of urban parks on visitors’ positive emotions between Shanghai and London. We collected text data from Weibo and Twitter, applying natural language processing techniques to quantify emotion scores. …”
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Quality approaches and standards of 3D printing in orthopedic and traumatological settings: a systematic review by Tanja Neussl, Richard Lindtner, Lukas Kampik, Sieglinde Pal, Michael Schirmer, David Putzer, Rohit Arora, Johannes Dominikus Pallua

“…Each phase of the production process—from image acquisition and segmentation to material selection and post-processing—affects the safety and performance of the final product. …”
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Exploring the advent of Medical 4.0: A bibliometric analysis systematic review and technology adoption insights by Md Nahid Akhtar, Abid Haleem, Mohd Javaid

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Exploiting high-order behaviour patterns for cross-domain sequential recommendation by Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian

“…Meanwhile, retaining domain-specific features is an important step in the process of cross-domain feature bidirectional transferring.…”
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SimProx: A Similarity-Based Aggregation in Federated Learning With Client Weight Optimization by Ayoub El-Niss, Ahmad Alzu'Bi, Abdelrahman Abuarqoub, Mohammad Hammoudeh, Ammar Muthanna

“…Extensive experiments on standard benchmarking datasets and real-world multimodal data demonstrate that SimProx significantly outperforms traditional methods like FedAvg in terms of accuracy. …”
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Time and cost involved in measuring access to medicines: the case of Albania by E. Petro, I. R. Joosse, A. C. M. Siebers, T. Martopullo, R. P. M. Hart, A. K. Mantel-Teeuwisse, H. A. van den Ham, F. Suleman

“…Each survey area was visited by four data collectors. Although collecting this type of data was initially perceived as laborious, our findings revealed that this was primarily due to the pre-survey preparation rather than the data collection process itself. …”
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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

“…Six advanced regression-based algorithms, including support vector regression (SVR), Gaussian process regression (GPR), random forest regression (RFR), extreme gradient boosting regression (XGBR), artificial neural networks (ANN), and K-nearest neighbors (KNN), were benchmarked through rigorous model validation processes including hold-out testing, K-fold cross-validation, sensitivity analysis, and external validation with unseen experimental data. …”
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FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence by Rahul Haripriya, Nilay Khare, Manish Pandey, Shrijal Patel, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…Ensuring fairness in automated decision-making is a critical challenge, especially in organizational contexts like recruitment, performance evaluation, and promotion. …”
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On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in UltraWideBand (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) C... by Gianmarco Baldini

“…Such attacks aim to hamper the ML classification process by poisoning the data set. Mitigation techniques are designed to counter this threat using different approaches. …”
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