Perancangan Software As A Service (SAAS) untuk Sistem Pelayanan Kesehatan Ibu dan Anak (PKIA) pada Puskesmas Se-Kota Mataram Berbasis Cloud Computing by Andy Hidayat Jatmika, Royana Afwani, Nadiyasari Agitha

“…The problems that arise from public health centers are: a long service process which includes patient data collection and patient data retrieval, and the number of errors in the processing of patient data, such as registration data, examination data, and referral data. …”
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Challenges and Opportunities in Digital Screening for Hypertension and Diabetes Among Community Groups of Older Adults in Vietnam: Mixed Methods Study by Trang Thi Thu Nong, Giang Hoang Nguyen, Alexander Lepe, Thuy Bich Tran, Lan Thi Phuong Nguyen, Jaap A R Koot

“…ResultsIn the quantitative analysis, data completeness of all 6704 screenings (n=3485 individuals) was very high. …”
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John Cross, epidemic theory, and mathematically modeling the Norwich smallpox epidemic of 1819. by Connor D Olson, Timothy C Reluga

“…We show that Cross' hypothesis of susceptible pool limitation is sufficient to explain the data under the SIR law, but requires parameter estimates differing from the modern understanding of smallpox epidemiology or large errors in Cross' data collection. …”
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Artifacts of optical coherence tomography by A. A. Shpak, M. V. Korobkova

“…Both the original scanning data (B-scans) and the results of their subsequent analysis were evaluated for the presence of artifacts. …”
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Assessment of synergy-assisted EMG-driven NMSK model for upper limb muscle activation prediction in cross-country sit-skiing double poling by Xue Chen, Zhongxue Yuan, Xianzhi Gao, Yanxin Zhang, Chenglin Liu, Bo Huo, Bo Huo

“…For synergy method selection, we systematically compared four approaches: Non-negative Matrix Factorization (NMF), Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Factor Analysis (FA).ResultsThe results demonstrated NMF’s superior performance at 5 synergies, accurately predicting any missing muscle activation among 10 muscles (r = 0.79 ± 0.25 vs. 0.14 ± 0.60-0.45 ± 0.63 for alternatives, p < 0.05), with lower errors (RMSE: 0.21 ± 0.11, p < 0.05 vs. …”
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Patient-Reported Incident Measure (PRIM) tools for reporting patient safety incidents: protocol for a scoping review by Mercè Soler Font, Ignacio Ferreira-Gonzalez, Ignasi Bolíbar, Maria Rubio-Valera, Merce Soler-Font, Víctor Quirós González, Karla Salas-Gama, Dimelza Osorio, Maria Nieves Plana, Julio Muñoz-Miguel, Maria Teresa Franco, Mariona Secanell-Espluga, Paula Fernández-Torres, Stefanie Suclupe, Daniel Torres-López, Alex Aisa Castillo, Adrià Almar, Emilien Amar Devilleneuve, Ignasi Bolibar Ribas, Alex Cano Velasco, Gonzalo Casans Gómez, Núria Castany Viñas, Maria Teresa Franco Romero, Cristina González Steinbauer, Clara María Grau Corral, Antoni Jesús Cruz Antolin, Susana Malgrat Caballero, Roser Martín Campos, Cristopher Alan Mazo Torre, Julio Muñoz Miguel, Rafael Manuel Ortí Lucas, Percy Efrain Pantoja Bustillos, Maria del Mar Pina Cobos, Maria Nieves Plana Farras, Aida Ribera Solé, Soledad Romea Lecumberri, Maria Rubio Valera, Alba Saa Casal, Anna Sala Cunill, Karla Salas Gama, Yuli Salvador Lodosa, Mariona Secanell Espluga, Stefanie Chriss Suclupe Obregon

“…We will use a self-created data collection form for data extraction and perform a narrative synthesis to integrate and summarise the review findings. …”
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Impact of frailty in older people on health care demand: simulation modelling of population dynamics to inform service planning by Bronagh Walsh, Carole Fogg, Tracey England, Sally Brailsford, Paul Roderick, Scott Harris, Simon Fraser, Andrew Clegg, Simon de Lusignan, Shihua Zhu, Francesca Lambert, Abigail Barkham, Harnish Patel, Vivienne Windle

“…The system dynamics (SD) model has been extensively validated against summary descriptive data from the RCGP RSC cohort (with a 6.9% error) and externally against a similar data set from SAIL (9.3% error) before being scaled up (using ONS estimates for the number of people entering the 50 + population and those turning 65, 75 or 85 in a given year) to consider how frailty incidence and prevalence at a national population level could be represented over the period of the cohort study (2006–17) and 10 years into the future. …”
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Polymorphisms in CYP3A5, CYP3A4, and ABCB1 genes: implications for calcineurin inhibitors therapy in hematopoietic cell transplantation recipients—a systematic review by Luiz Carlos da Costa-Junior, Luiz Carlos da Costa-Junior, Daniely Regina Freitas-Alves, Amanda Melo Leite Leão, Amanda Melo Leite Leão, Hayra de Andrade Vieira Monteiro, Rita de Cássia Barbosa da Silva Tavares, Maria Claudia Rodrigues Moreira, Maria Claudia Rodrigues Moreira, Marília Berlofa Visacri, Teresa de Souza Fernandez, Paulo Caleb Júnior de Lima Santos, Paulo Caleb Júnior de Lima Santos

“…Methodological quality was high, with 55% of studies achieving the maximum NOS score, although gaps in error rates and population modeling were noted. Limitations include variability in outcomes precluding meta-analysis, a small number of studies, particularly on cyclosporine, and insufficient data on CYP3A4 and ABCB1. …”
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Nanoscale Organic Contaminant Detection at the Surface Using Nonlinear Bond Model by Hendradi Hardhienata, Muhammad Ahyad, Fasya Nabilah, Husin Alatas, Faridah Handayasari, Agus Kartono, Tony Sumaryada, Muhammad D. Birowosuto

“…Our simulations show good agreement with rotational anisotropy (RA) SHG intensity experimental data across all polarization angles, with a total error estimate of 3%. …”
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Satellite estimation of pCO2 and quantification of CO2 fluxes in lakes in the context of climate change by Ruixue Zhao, Zhidan Wen, Yingxin Shang, Ge Liu, Hui Tao, Chong Fang, Sijia Li, Xiangfei Yu, Qian Yang, Jiping Liu, Kaishan Song

“…The XGBoost model achieved the optimal combination of fitting accuracy and Root Mean Square Error (R2 = 0.86, RMSE = 148.73 μatm) and validation accuracy (R2 = 0.71, RMSE = 186.14 μatm). …”
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Non-Invasive Optoelectronic System for Color-Change Detection in Oranges to Predict Ripening by Using Artificial Neural Networks by J. D. Filoteo-Razo, J. C. Elizondo-Leal, J. R. Martinez-Angulo, J. H. Barron-Zambrano, A. Diaz-Manriquez, V. P. Saldivar-Alonso, J. M. Estudillo-Ayala, R. Rojas-Laguna

“…A microcontroller is employed for model integration and data acquisition. The evolution of the skin color of the fruit was monitored until over-ripeness was evident. …”
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Determination of Total Boron in Soil by Alkaline Fusion-Inductively Coupled Plasma Mass Spectrometry by Jia-shu CHEN, Xiong XIONG, Jin-mei DUAN, Ying-lin CHEN, Jia-jun JIANG, Hong-hui ZHU

“…Compared with inductively coupled plasma-optical emission spectrometer (ICP-OES), the data stability of this method is better, the working efficiency is higher.…”
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PROPERTIES OF NEW SALTS OF 2-(5-(ADAMANTANE-1-YL)-4-R-1,2,4-TRIAZOLE-3-YLTIO)ACETIC ACIDS IN THE GLUCOSE TOLERANCE TEST by V. M. Odyntsova, Ye. S. Pruhlo, O. I. Panasenko, Ye. H. Knysh

“…Arithmetic means (M) and standard error of the average (± m) were calculated. The reliability of intergroup differences in experimental data was set by means of the Student's t-test. …”
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Cultural adaptation and psychometric properties of the 8-item Patient Health Questionnaire (PHQ-8) to screen for depression in southwestern Madagascar by Hervet J. Randriamady, Manasi Sharma, Rocky E. Stroud, Aroniaina M. Falinirina, Romario, Madeleine Rasoanirina, Nadège V. Volasoa, Frédéric Déclerque, Marc Y. Solofoarimanana, Jean C. Mahefa, Hanitra O. Randriatsara, Karestan C. Koenen, Christopher D. Golden

“…We found that the one-factor (Depression) model (root mean square error of approximation [RMSEA] = 0.046, standardized root mean square residual [SRMR] = 0.053, Comparative Fit Index [CFI] = 0.993 and Tucker–Lewis Index [TLI] = 0.991) had a better fit to our data than the two-factor (Cognitive–Affective and Somatic) model (RMSEA = 0.047, SRMR = 0.052, CFI = 0.994 and TLI = 0.990). …”
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Velocity-Constraint Kalman Filtering for Enhanced Bubble Tracking in Motion-Compensated Ultrasound Localization Microscopy by Yifei Zhu, Lingyin Jiang, Qi Zhang, Jun Yin, Bingze Du, Guofeng Zhang, Haijun Zhang, Bo Ding, Han Lin, Honghui Xue, Xiasheng Guo, Xiao-Yang Zhang, Jing-Ning Zhu, Dong Zhang, Juan Tu, Ning Gu

“…Furthermore, velocity constraint was applied to minimize possible erroneous traces and enhance the contrast-to-noise ratio of ULM images, while ensuring the continuity of vascular reconstruction and the accuracy of the blood flow analysis to generate a reduced normalized root mean square error in velocity estimation, even at a relatively low frame rate of 146 Hz. …”
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Biofilm Formation in Dairy: A Food Safety Concern—Insights into the prevalence of Pseudomonadota and yeasts on milking system surface biofilms by Mérilie Gagnon, Samuel Jean, Juan de Toro-Martín, Gisèle LaPointe, Évelyne Guévremont, Simon Dufour, Denis Roy

“…Partial least squares discriminant analysis revealed that the microbial composition of biofilms differed from that of BTRM (classification error rate: 0.23 and area under the curve: 0.95), although several species were shared, such as Candida parapsilosis and P. aeruginosa, and Escherichia coli. …”
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Epidemiology and Risk Prediction Model of Multidrug-Resistant Organism Infections After Liver Transplant Recipients: A Single-Center Cohort Study by Chuanlin Chen, Desheng Li, Zhengdon Zhou, Qinghua Guan, Bo Sheng, Yongfang Hu, Zhenyu Zhang

“…<b>Methods:</b> We retrospectively collected clinical data from 301 LT recipients and randomly divided them into a training set (210 cases) and validation set (91 cases) using a 7:3 split ratio. …”
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Alternative methods for analyzing cross-sectional studies of common outcomes: A guide for healthcare professionals by Mohammad H. Aljawadi, BPharm, PharmD, MSc, PhD

“…Conclusion: Logistic regression introduced substantial bias in cross-sectional data with common outcomes. Poisson regression provided more accurate estimates, particularly with robust or jackknife standard errors, while log-binomial regression was valid but prone to convergence issues. …”
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Microhaplotype deep sequencing assays to capture Plasmodium vivax infection lineages by Mariana Kleinecke, Edwin Sutanto, Angela Rumaseb, Kian Soon Hoon, Hidayat Trimarsanto, Ashley Osborne, Paulo Manrique, Trent Peters, David Hawkes, Ernest Diez Benavente, Georgia Whitton, Sasha V. Siegel, Richard D. Pearson, Roberto Amato, Anjana Rai, Nguyen Thanh Thuy Nhien, Hoang Chau Nguyen, Ashenafi Assefa, Tamiru S. Degaga, Dagimawie Tadesse Abate, Awab Ghulam Rahim, Ayodhia Pitaloka Pasaribu, Inge Sutanto, Mohammad Shafiul Alam, Zuleima Pava, Tatiana Lopera-Mesa, Diego Echeverry, Tim William, Nicholas M. Anstey, Matthew J. Grigg, Nicholas P. Day, Nicholas J. White, Dominic P. Kwiatkowski, Aimee R. Taylor, Rintis Noviyanti, Daniel Neafsey, Ric N. Price, Sarah Auburn

“…Simulations demonstrate low error in pairwise IBD estimation at the panel (RMSE < 0.12) and IBD-based networks illustrate strong clustering by geography. …”
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Nurses' self-efficacy and outcome expectancy in evidence-based practice: Translation, construct validity and internal consistency of the Dutch scales by Peter Hoegen, Michael Echteld, Cindy de Bot, Annemarie de Vos, Derya Demirçay, Mary-Anne Ramis, Lidwine Mokkink, Hester Vermeulen

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