Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes by David A. Parker, Rebekah L. Trotti, Jennifer E. McDowell, Sarah K. Keedy, Matcheri S. Keshavan, Godfrey D. Pearlson, Elliot S. Gershon, Elena I. Ivleva, Ling-Yu Huang, Kodiak Sauer, S. Kristian Hill, John A. Sweeney, Carol A. Tamminga, Brett A. Clementz

“…First-degree relative data implicate specific bio-factors as familial within idiopathic psychosis which may inform genetic studies.…”
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Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

“…The workflow includes the downscaling of model outputs to increase their spatial resolution, the storage of sub-seasonal climate forecasts at daily frequencies to feed phenological impact models, the provision of past climate simulations to train the impact models, the bias-adjust of climate forecasts to reduce systematic model errors, the assessment of the climate forecasts to aware users on their quality and the deployment of a server to allow access to impact modellers.The variables provided are mean, minimum and maximum temperature, accumulated precipitation and solar radiation. …”
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PROBLEMATIC HADITHS IN QURRAH AL-ASHFIYA’ BY KIAI ZAINULLAH MALANG: An Intertextual Analysis by Muhammad Hilal

“…Through intertextual analysis, it is found that the first hadith is proven to be typographical error and subsequently disqualified as a hadith. …”
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The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…Also, with the use of blockchain smart contracts, the automatic execution of rules and checks provides an opportunity to improve internal control and reduce the possibility of errors and fraud. Overall, the use of blockchain can bring significant improvements in risk management, flexibility and internal control evaluation. …”
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The role of polygenic susceptibility to obesity among carriers of pathogenic mutations in MC4R in the UK Biobank population. by Nathalie Chami, Michael Preuss, Ryan W Walker, Arden Moscati, Ruth J F Loos

“…Body composition of carriers of normal weight was similar to noncarriers of normal weight, whereas among individuals with obesity, carriers had a somewhat higher BMI than noncarriers (1.44 ± 0.07 standard deviation scores [SDSs] ± standard error [SE] versus 1.29 ± 0.001, P = 0.03), because of greater lean mass (1.44 ± 0.09 versus 1.15 ± 0.002, P = 0.002). …”
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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…The convolutional neural network (CNN) model, using variants with genome-wide P values less than E-02 (5516 SNPs), demonstrated the best performance with mean squared error (MSE) equals 0.012 (Accuracy = 0.83; Sensitivity = 0.90; Specificity = 0.75) in the validation dataset, 0.081 in an independent test dataset (Acc = 0.61, Sensitivity = 0.81; Specificity = 0.26). …”
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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. …”
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Against Futility Judgments for Patients with Prolonged Disorders of Consciousness by William Choi

“…The unreliability of current bedside methods to determine consciousness and the inconsistent clinical trajectory of prolonged disorders of consciousness create considerable room for error in making predictions about the patient’s course of recovery. …”
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Improving outcomes for people with autism spectrum disorders by reducing mental health problems: the IAMHealth research programme including one RCT by Emily Simonoff, Gillian Baird, Bryony Beresford, Tony Charman, Martin Knapp, Andrew Pickles, Carol Povey, Tom Purser, Paramala Santosh, Vicky Slonims, Stephen Scott

“…EFA supported a two-factor model as providing the best fit [χ2/degrees of freedom (df) = 1.7, root-mean-square error of approximation (RMSEA) = 0.053, Comparative Fit Index (CFI) = 0.91] compared to a one- or three-factor model. …”
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High-flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care: the FIRST-ABC RCTs by Padmanabhan Ramnarayan, Alvin Richards-Belle, Karen Thomas, Laura Drikite, Zia Sadique, Silvia Moler Zapata, Robert Darnell, Carly Au, Peter J Davis, Izabella Orzechowska, Julie Lester, Kevin Morris, Millie Parke, Mark Peters, Sam Peters, Michelle Saull, Lyvonne Tume, Richard G Feltbower, Richard Grieve, Paul R Mouncey, David Harrison, Kathryn Rowan

“…Participants: sites and patients To achieve 90% power with a type I error rate of 2.5% (one-sided) to exclude the prespecified non-inferiority margin of hazard ratio (HR) = 0.75, 508 events were required to be observed. …”
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