Promoting Physics Learning and Interest: Evaluating the Remote-lab RIALE Experience in High School by Daniela Fadda, Carole Salis, Matteo Tuveri, Carlo Maria Carbonaro, Giuliano Vivanet

“…However, the remote laboratory was perceived as a satisfactory experience that stimulated students’ interest in physics and the practical application of scientific methods, fostering curiosity and motivation. These findings provide valuable insights for developing educational strategies to more effectively integrate online laboratories into science education.…”
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Enhancing Engagement, Practice Integration, and Skill Learning in Mobile Technology–Delivered Interventions Using Human Support: Randomized Controlled Trial With Depressed College... by Colleen S Conley, Brynn M DeLorenzo, Carol H Gonzales, Ian J Kahrilas, Jennifer Duffecy, Rebecca L Silton

“…MethodsParticipants (n=123) authorized access to their recorded app use data, provided by Headspace. …”
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In-field nucleic acid testing for porcine epidemic diarrhea virus with lateral flow immunoassay by Wencong Chen, Jiahao Chen, Danni Ye, Xueyan Ai, Jiayi Luo, Chenxi Fang, Meihua Xiang, Maopeng Wang

“…To address these challenges, our study based on one-step RT-PCR and lateral flow strips developed a reliable, field-deployable, and low-cost nucleic acid detection method for PEDV. The whole process takes about 45 min and the testing cost of each sample is low to $0.3. …”
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Next Generation Aqueous Two‐Phase System for Gentle, Effective, and Timely Extracellular Vesicle Isolation and Transcriptomic Analysis by Boyang Su, Morteza Jeyhani, Gobi Thillainadesan, Minzhi Sheng, Reese Wunsche, Thamara Dayarathna, Kristin Cimolai, Hanyi Weng, Katarzyna J. Jerzak, Stanley K. Liu, Scott S. H. Tsai, Hon S. Leong

“…Transcriptomic analysis of EVs isolated using the next‐gen ATPS revealed a strong overlap in microRNA (miRNA), circular RNA (circRNA) and small nucleolar RNA (snoRNA) profiles with EV donor cells, as well as EVs isolated by UC and the exoRNeasy kit, while detecting a superior number of circRNAs compared to the kit in human samples. Overall, this next‐gen ATPS method stands out as a rapid and highly effective approach to isolate high‐quality EVs in high yield, ensuring optimal extraction and analysis of EV‐encapsulated nucleic acids.…”
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Associations of elevated levels of brain natriuretic peptide and heart failure and their contribution to survival in the Russian middle-aged population: data from the ESSE-RF study by S. A. Shalnova, V. A. Kutsenko, S. S. Yakushin, A. V. Kapustina, S. E. Evstifeeva, Yu. A. Balanova, A. E. Imaeva, G. A. Muromtseva, S. O. Kuzyakina, A. N. Redko, I. A. Viktorova, N. N. Prishchepa, O. M. Drapkina

“…Almost 100% of patients with HF in our sample at this age were etiologically associated with hypertension (HTN) (94,1%), which is more than 2 times higher than in the population. …”
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Prolonged grief and posttraumatic stress in parents who lost a child in a road traffic accident: A latent class analysis by I. van Dijk, P.A. Boelen, J. de Keijser, L. Reitsma, L.I.M. Lenferink

“…Mothers and those with more self-directed anger were more likely to present with the first symptom pattern. …”
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Cryptosporidiosis in Humans with Reference to the First Case of Cryptosporidium hominis Infection in Turkey by Nadim Yılmazer, Şadiye Kaplan Küçük, Gürkan Akyıldız, Ayşen Gargılı, Sırrı Kar

“…Hence, molecular diagnostics has become more important. Methods: Stool samples from 150 patients were examined using carbol-fuchsin stain to determine Cryptosporidium spp. oocysts. …”
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Topologically inferring active miRNA‐mediated subpathways toward precise cancer classification by directed random walk by Ziyu Ning, Chenchen Feng, Chao Song, Wei Liu, Desi Shang, Meng Li, Qiuyu Wang, Jianmei Zhao, Yuejuan Liu, Jiaxin Chen, Xiaoyang Yu, Jian Zhang, Chunquan Li

“…The results showed that the proposed method yielded a more robust and accurate overall performance compared with other existing pathway‐based, miRNA‐based, and gene‐based classification methods. …”
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Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

“…This approach offers significant advantages in the preliminary assessment of aggregate suitability, contributing to more efficient resource allocation in construction projects.…”
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The “Soft Skills” of plastic surgeons and their teams, compared to other occupations in a COVID-19 pandemic environment by Marco Flávio Mastrandonakis, Amilton Braio Ara, Ana Cristina Limongi França, Eder de Carvalho Januário, Manuela Brandão Borges, Thiago Schiavon Ara, Andressa de Fátima Kotleski Thomaz-de-Lima

“…Conclusion: The results found may suggest that the strategic importance of Soft Skills has become even more intense among physicians specializing in Plastic Surgery. …”
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Mechanical properties and energy evolution of outburst coal seams under different load regimes by Zhang Tianjun, Wu Jiaokun, Wang Gang, Chen Yong, Ding Hong, Ma Hongyu, Yang Jie

“…To reveal the mechanical characteristics and energy evolution of outburst coal seam, uniaxial and triaxial compression tests were carried out on outburst coal seam samples under different loading methods. The experimental results show that the elastic characteristics become more obvious with the increase of loading rate, the peak strain increases, the elastic modulus is linearly related with the loading rate，and the overall degree of fragmentation increases with the increase of loading rate, which is consistent with the severity of macroscopic coal failure. …”
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Designing a Business Model in the Tourism Industry of Iran by Amirhossein Samadian, Saeid Ehdaie, kamyar Raissifar

“…Abstract The competitive environment of business is becoming more complex day by day and every business needs basic methods in creating, presenting and acquiring value in order to continue its activity, growth and development in this field. …”
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Abstract 157: Evaluating the Impact of Pre‐Procedural CTA on Fluoroscopy Time and Conversion Rates by Zachary Lodato, Ivo Bach, Humza Haque, Elan Meltzer, Priyank Khandelwal

“…However, the study indicates that prior CTA cases had a higher percentage of access site conversions, though the sample size was small. Due to these findings, further investigation with a larger sample size is needed to explore these variables more thoroughly. …”
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Vitamin E and Cardiovascular Disease Risk Factors in Adults: Results from the Health Survey of São Paulo with Focus on Nutrition (ISA-Nutrition) by Marcela Larissa Costa, Cristiane Hermes Sales, Paula Victoria Felix, Jaqueline Lopes Pereira, Marcelo Macedo Rogero, Flavia Mori Sarti, Regina Mara Fisberg

“…The majority of the sample was female (57.6%), and 29.1% had three or more CVDR. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…It demonstrates that quantum algorithms can perform complex biological data suggesting more reliable and accurate drug sensitivity predictions. …”
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Gaussian pulse shaping algorithm based on finite impulse response filters by HUANG Haixi, HONG Xu, LIU Junlong, SONG Xinru, LI Lin, ZHOU Chengzhuo

“…Compared to infinite impulse response (IIR) filters, finite impulse response (FIR) filters have the advantage of being less affected by errors and more stable.PurposeThis study aims to propose a FIR filter-based Gaussian pulse shaping algorithm using impulse response functions, and realize a FPGA-based hardware implementation of this algorithm to evaluate the impact of hardware limitations on it.MethodsFirst of all, the discrete impulse response of Gaussian pulse shaping (GPS) was derived by means of impulse response invariant transformation, and shaped pulse waveforms under different quantization accuracies and truncation intervals were obtained using a computer simulation, so did that under Gaussian pulse shaping with or without additional truncation were assessed. …”
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Assessment of gender-related differences in digital financial services use and health worker performance in Nigeria by Jesuloluwa Adeolu Alabi, David Ayobami Adewole, Folashayo Peter Adeniji, Segun Bello, Juliet Aweko, Elizabeth Ekirapa, Peter Waiswa, Olufunmilayo Ibitola Fawole

“…Additionally, the study compared motivation, satisfaction, and performance associated with DFS between male and female health campaign workers. Methods A mixed methods approach consisting of cross-sectional survey and qualitative interviews was used to obtain information from 817 polio immunization campaign workers sampled across the six geo-political zones of Nigeria. …”
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Clinical Efficacy of Extracorporeal Shock Wave in the Treatment of Knee Osteoarthritis： A Meta-analysis by GU Jinyu, LI Kaiming, ZHANG Qing, LI Linghui, BAI Zixing, WANG Shangquan

“…Relative risk (RR) was used to analyze the binary variables; and the continuous variables with the same unit and measurement method were described by mean difference (MD), while the continuous variables with different measurement methods or units were described by standardized mean difference (SMD). …”
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Electronic Finance and Cryptocurrency Market by Ludmila P. Bakumenko, Nadezhda S. Vasilyeva

“…To identify the relationship between the attitudes of countries and the dynamics of the cryptocurrency market in order to suggest possible directions for the future development of the studied evolutionary economic sphere.Materials and methods. As a basis for the study, a balanced and informative set of indexes (17 indexes) was identified, which represents the key variables necessary for a more in-depth analysis of the dynamics of cryptocurrency markets in the context of various countries over a period of ten years (2013-2022). …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Most current approaches focus on shallow learning methods such as community analysis, ego network or selection of subspace method. …”
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