Patient centered outcomes in stroke: utility-weighted modified Rankin Scale results in a community-based study by Carlos Delfino, Gabriel Cavada, Lorena Hoffmeister, Pablo Lavados, Pablo Lavados, Paula Muñoz Venturelli, Paula Muñoz Venturelli, Paula Muñoz Venturelli

“…Multivariable analysis identified age > 70 years (Coefficient β [β] -0.038 [Standard error SE 0.018], p = 0.032), prior mRS score 3–5 (β −0.556 [SE 0.197], p < 0.001), ischemic stroke (β −0.066 [SE 0.025], p = 0.010), and National Institutes of Health Stroke Scale (NIHSS) at admission>5 (β −0.015 [SE 0.002], p < 0.001) as significant predictors of worse UW-mRS scores (R2 = 70%) in the overall group. …”
Get full text

Associations of maternal dietary inflammatory potential and quality with offspring birth outcomes: An individual participant data pooled analysis of 7 European cohorts in the ALPHA... by Ling-Wei Chen, Adrien M Aubert, Nitin Shivappa, Jonathan Y Bernard, Sara M Mensink-Bout, Aisling A Geraghty, John Mehegan, Matthew Suderman, Kinga Polanska, Wojciech Hanke, Elzbieta Trafalska, Caroline L Relton, Sarah R Crozier, Nicholas C Harvey, Cyrus Cooper, Liesbeth Duijts, Barbara Heude, James R Hébert, Fionnuala M McAuliffe, Cecily C Kelleher, Catherine M Phillips

“…Limitations of this study were that self-reported dietary data might have increased nondifferential measurement error and that causality cannot be claimed definitely with observational design.…”
Get full text

Neurotoxic and Neuroprotective Effects of Psychedelics in a Human Neuroblastoma Cell Model by Andreia Machado Brito da Costa, Ricardo Jorge Dinis-Oliveira, Áurea Madureira-Carvalho, Diana Dias-da-Silva

Get full text

Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

Get full text

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

Get full text

Evapotranspiration Partitioning in Selected Subtropical Fruit Tree Orchards Based on Sentinel 2 Data Using a Light Gradient-Boosting Machine (LightGBM) Learning Model in Malelane,... by Prince Dangare, Zama E. Mashimbye, Paul J. R. Cronje, Joseph N. Masanganise, Shaeden Gokool, Zanele Ntshidi, Vivek Naiken, Tendai Sawunyama, Sebinasi Dzikiti

Get full text

A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. by Kavumpurathu R Thankappan, Thirunavukkarasu Sathish, Robyn J Tapp, Jonathan E Shaw, Mojtaba Lotfaliany, Rory Wolfe, Pilvikki Absetz, Elezebeth Mathews, Zahra Aziz, Emily D Williams, Edwin B Fisher, Paul Z Zimmet, Ajay Mahal, Sajitha Balachandran, Fabrizio D'Esposito, Priyanka Sajeev, Emma Thomas, Brian Oldenburg

“…Participants from control clusters received an education booklet with lifestyle change advice. The primary outcome was the incidence of diabetes at 24 months, diagnosed by an annual OGTT. …”
Get full text

Decoding disease–specific ageing mechanisms through pathway-level epigenetic clock: insights from multi-cohort validationResearch in context by Pan Li, Jijun Zhu, Shenghan Wang, Haowen Zhuang, Shunjie Zhang, Zhongting Huang, Fuqiang Cai, Zhijian Song, Yuxin Liu, Weixin Liu, Sebastian Freidel, Sijia Wang, Emanuel Schwarz, Junfang Chen

“…Model accuracy was assessed using mean absolute error (MAE) and Pearson correlation (Rho). Age acceleration residuals (AgeAcc) were computed and tested for associations with nine diseases using non-parametric statistics. …”
Get full text

Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…The method of grid separation or lookup table (PG) in MATLAB 2023 software was used to evaluate the performance of the model using root mean square, error (RMSE) and relative error (E). This research was able to provide an intelligent model with a very low error. …”
Get full text

Influences of work stressors and family support: the mediating role of job performance by Rajpreet Kaur

“…Root-mean-square approximation error and CMIN/DF were also used to further assess the model’s validity. …”
Get full text

The Effectiveness of Emotion-Focused Therapy on Pain Anxiety and Resilience in Patients with Migraine by Hamid Reza Arab Bafrani, Hasan Rezayi, Ahmad Sobhani

“…It is recommended that EFT be integrated into conventional treatments as a multimedia educational program and adopted as part of public health education initiatives. …”
Get full text

Identification and analysis of factors affecting the technology transfer process in the power train of automotive (Case study : Iran Khodro Industrial Group) by ٍEbrahim Doostzadeh, Abbas Toloie Ashlaghi, Manochehr Manteghi, Reza Radfard

“…The fourth hidden factor was related to the variables such as education, research, data analysis, creation and application of knowledge; so, awareness and knowledge is the most appropriate option to name the fourth hidden factor of this research.…”
Get full text

Presenting the Model of Effective Factors on Smart Governance in the Country by Ghaem Gheiravani, Mohammad Montazeri, Shams Sadat Zahedi

“…If this value is equal to or greater than 0.4, it confirms that the variance between the structure and its indicators is greater than the variance of the size error of that structure, and the reliability of that measurement model is acceptable. …”
Get full text

Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text by Trisna Gelar, Aprianti Nanda Sari, Djoko Cahyo Utomo Lieharyani, Fauza Naylassana, Nisrina Wafa Zakiya Hamdani

“…The model is trained and assessed utilizing Word Error Rate (WER) and Character Error Rate (CER) measures. …”
Get full text

Predictive learning as the basis of the testing effect by Haopeng Chen, Cathy Hauspie, Kate Ergo, Cristian Buc Calderon, Tom Verguts

Get full text

The Methane Concentration Detector with Anti-poisoning Function by CHAI Da-lin, DING Xi-bo, YU Yang

Get full text

Analysis of the mechanism of physical activity enhancing well-being among college students using artificial neural network by Yuxin Cong, Roxana Dev Omar Dev, Shamsulariffin Bin Samsudin, Kaihao Yu

Get full text

CYCLOTOMIC CLASSES IN THE NORMING DECODING BCH-CODES by D. N. Hoang, V. K. Konopelko

Get full text

Evaluation of Colonoscopy Skills – How Well Are We Doing? by Rachid Mohamed, Abdel Aziz Shaheen, Maitreyi Raman

“…Individual trainees vary in their rate of their skill acquisition, and this trial-and-error method often results in frustration and anxiety for both the educator and the learner. …”
Get full text

Enhanced Performance of CAP System Using an Overlap Frequency-Domain Equalization Scheme by Jing He, Huan Dong, Rui Deng, Teng Li, Lin Chen

Get full text