Graph-Based 3-Dimensional Spatial Gene Neighborhood Networks of Single Cells in Gels and Tissues by Zhou Fang, Kelsey Krusen, Hannah Priest, Mingshuang Wang, Sungwoong Kim, Anirudh Sriram, Ashritha Yellanki, Ankur Singh, Edwin Horwitz, Ahmet F. Coskun

“…Lastly, we compared astrocyte–neuron CCC in mouse hypothalamus and cortex by analyzing 3D multiplexed-error-robust fluorescence in situ hybridization (MERFISH) data and identified regional gene proximity differences. …”
Get full text

Identification of intragenic variants in pediatric patients with intellectual disability in Peru by Hugo Hernán Abarca-Barriga, Flor Vásquez Sotomayor, Renzo Punil-Luciano, María Cristina Laso-Salazar, Heli Jaime Barrón-Pastor

Get full text

Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study by Edoardo Bianchini, Domiziana Rinaldi, Lanfranco De Carolis, Silvia Galli, Marika Alborghetti, Clint Hansen, Antonio Suppa, Marco Salvetti, Francesco Ernesto Pontieri, Nicolas Vuillerme

“…Intraclass correlation coefficient (ICC; 3,k), standard error of measurement (SEM), and minimal detectable change (MDC) were used to evaluate the reliability of avDS for each subgroup. …”
Get full text

Randomised controlled trial of standard outpatient cardiac rehabilitation versus personalised cardiac rehabilitation for secondary prevention for all in need (SPAN) after type 1 my... by David Brieger, Tom Briffa, Julie Redfern, Derek P Chew, John Atherton, Jamie Rankin, Charley Budgeon, Andrew Maiorana, Anne Cordingley, Stephen Nicholls, Graham Hillis, Teagan Robinson, Tom Gilbert, Sam Lehman

“…Assuming a power of 90% and an overall type 1 error of 5%, we expect that 50% of those randomised to usual care will meet the primary endpoint compared with 65% of those on personalised rehabilitation. …”
Get full text

Dental magnetic resonance imaging for bone loss assessment and disease activity classification in severe periodontitis by Arne Lauer, Luisa Schulte, Artid Skenderi, Nouha Tekiki, Alexander Juerchott, Meysam Sohani, Maurice Ruetters, Franz Sebastian Schwindling, Peter Rammelsberg, Mathias Nittka, Sabine Heiland, Martin Bendszus, Tim Hilgenfeld

“…Volumetric data were compared to clinical findings. Results Ten female and nine male patients with 253 bony lesions were examined. …”
Get full text

Effects of Inertial Measurement Unit Location on the Validity of Vertical Acceleration Time-Series Data and Jump Height in Countermovement Jumping by Dianne Althouse, Cassidy Weeks, Steven B. Spencer, Joonsun Park, Brennan J. Thompson, Talin Louder

“…Using data from these sensors, 15 whole-body center of mass models were developed, including 1-, 2-, 3-, and 4-segment configurations derived from the trunk and three lower-body segments. The root mean square error (RMSE) of vertical acceleration was calculated for each IMU model by comparing its data against vertical acceleration measurements obtained from a force platform. …”
Get full text

Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available models by Lonneke Bos, David R. van Nederpelt, J.H. Cole, E.M.M. Strijbis, B. Moraal, J.P.A. Kuijer, B.M.J. Uitdehaag, F. Barkhof, A.M. Wink, H. Vrenken, B. Jasperse

“…Variance component analyses were used to determine the standard error of measurement (SEM) and the smallest detectable change (SDC).Brain-PAD was higher for pwMS compared to HC when predicted with brainageR and DeepBrainNet, not when predicted with the MIDI-model. …”
Get full text

Validity and Short-Term Repeatability of a Novel Hand-Held Respiratory Health Meter for the Assessment of Dynamic Maximal Respiratory Pressures in Healthy Young Adults by Ryynänen H, Sovijärvi A, Kuronen I, Ahokas EK, Valtonen M, Ihalainen JK, Multanen J

“…The short-term repeatability of the dMIP and dMEP in one week interval proved to be moderately good in terms of the coefficient of variation (CV), the intraclass correlation coefficient (ICC), the standard error of measurement (SEm) and minimal detectable change (MDC) (10.0%, 0.825, p< 0.001, 7 cmH2O and 20 cmH2O and 9.1%, 0.895, p< 0.001, 12 cmH2O and 34 cmH2O, respectively).Conclusion: The results indicate that the WellO2-RHM is a valid and repeatable method for the assessment of dMIP and dMEP in asymptomatic young adults, but the absolute values are lower than those obtained with devices measuring quasi-static MIP and MEP. …”
Get full text

Shared decision-making for pediatric acute otitis media in the United States: a randomized emergency department trial by Jana L. Anderson, Lucas Oliveira J. E. Silva, Erik P. Hess, Derek E. Vanmeter, Aidan Mullan, Juan P. Brito, Ian G. Hargraves, Fernanda Bellolio

“…Although no significant reduction in antibiotic prescribing was observed, this may be due to the study’s limited sample size, which increases the risk of Type II error. These findings support the feasibility of integrating shared decision-making tools into emergency care. …”
Get full text

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. …”
Get full text

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis by Aftab Siddique, Phaneendra Batchu, Arshad Shaik, Priyanka Gurrapu, Tharun Tej Erukulla, Cornileus Ellington, Andrea L. Rubio Villa, Davia Brown, Ajit Mahapatra, Sudhanshu Panda, Eric Morgan, Jan Van Wyk, David Shapiro-Ilan, Govind Kannan, Thomas H. Terrill

“…The BIA data revealed significant differences in Rs and Xc between lightly and more heavily Unhealthy goats, with the latter exhibiting elevated resistance values, likely due to dehydration and tissue changes resulting from Haemonchosis. These findings highlight the potential of BIA combined with machine learning to develop a scalable, rapid, and non-invasive diagnostic tool for monitoring small ruminant health, particularly in detecting parasitic infections like H. contortus. …”
Get full text

Fatal HLH in patients with X-linked lymphoproliferative disease 1 due to a novel variant in SH2D1A: case report by Oksana Boyarchuk, Alla Volokha, Nataliia Yarema, Olga Dyvoniak, Tetyana Tomashivska, Ivanna Shymanska, Halyna Makukh, Jolan E. Walter, Jolan E. Walter

“…IntroductionX-linked lymphoproliferative disease type 1 (XLP1) is an inborn error of immunity (IEI) caused by pathogenic variants in the SH2D1A gene, leading to severe immune dysregulation, often triggered by Epstein-Barr virus (EBV) infection. …”
Get full text

Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…We took 2400 (600 × 4) breast reports to correspond to 705 (2400/3.4) independent reports to give a margin of error of 2.2%. So, precision was high while analysing breast, skin and GI specimens separately. …”
Get full text

Elevated thiamine level is associated with activating interaction between HIF-1α and SLC19A3 in experimental myopic guinea pigs by Zhongyu Ma, Jiawen Hao, Zhaohui Yang, Miao Zhang, Ruixue Zhang, Jizhao Xin, Bo Bao, Xuewei Yin, Xuewei Yin, Hongsheng Bi, Hongsheng Bi, Hongsheng Bi, Dadong Guo, Dadong Guo, Dadong Guo, Dadong Guo

“…Immunofluorescence and immunohistochemistry detected the expression of SLC19A3 and SLC19A3 in choroidal tissues at different modeling times, and protein immunoprecipitation and molecular docking verified the interactions between HIF-1α and SLC19A3.ResultsCompared with the normal control (NC) group, the LIM group guinea pigs showed a significant increase in axial length and decrease in refractive error, as well as a thinning of choroidal thickness and loosening of tissue structure. …”
Get full text

Neural connectivity biotypes: predictors of clinical outcomes and improvement patterns of iTBS treatment in adolescents and young adults with depression by Xiaoyu Chen, Min Zhang, Fan Zhang, Yanling Zhou, Yuping Ning, Roger S McIntyre, Hanna Lu, Haiyan Liu, Yiying Chen, Xiaofeng Lan, Chengyu Wang, Weicheng Li, Zhibo Hu, Siming Mai, Yanan Yin, Zerui You, Guanxi Liu, Zhanjie Luo, Yexian Zeng, Yifang Chen, Robin Shao

“…A significant subgroup×treatment interaction related to symbol coding improvement was detected (F=5.22, p=0.026). Within subgroup 1, the active group showed significantly greater improvement in symbol coding compared with the sham group (t=2.30, p=0.028), while baseline levels of interleukin-6 and C-reactive protein emerged as significant indicators for predicting improvements in symbolic coding (R2=0.35, RMSE (root-mean-square error)=5.72, p=0.013). …”
Get full text

Correlation of Cartridge Based Nucleic Acid Amplification Test Grading Based on Cycle Threshold Value with Clinicoradiological Profile and Time to Culture Positivity in Pulmonary T... by Mohammed Javed Qureshi, Bhanu Pratap Choudhary, Chand Bhandari, Harsh Maheshwari, Manoj Saini, Dheeraj Merotha

“…The study included 110 participants (calculated for 95% confidence, 80% power and 7.5% error, based on 62% smear-positive prevalence and 90.5% GeneXpert sensitivity). …”
Get full text

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

“…Conclusions We have shown that MHBP in autistic people at different time points show high levels of persistence in the same individuals, highlighting the importance of early recognition and targeted, autism-specific interventions. Furthermore, our finding that young autistic adults may have difficulty recognising MHP as distinct from autistic symptoms increases the need for autism-specific instruments to detect MHBP, such as the ACB. …”
Get full text

Interleukin-4 and specific IgE to oranges levels study in persons with allergic anamnesis by A. S. Prilutskiy, N. B. Abylgazinova, K. Y. Tkachenko

“…The median, the median error, the left and right limits of 95% confidence interval were calculated for all of three samples (IL-4, total IgE-Ab, sIgE-Ab). …”
Get full text

Analysis of Polarized Dust Emission Using Data from the First Flight of SPIDER by P. A. R. Ade, M. Amiri, S. J. Benton, A. S. Bergman, R. Bihary, J. J. Bock, J. R. Bond, J. A. Bonetti, S. A. Bryan, H. C. Chiang, C. R. Contaldi, O. Doré, A. J. Duivenvoorden, H. K. Eriksen, J. P. Filippini, A. A. Fraisse, K. Freese, M. Galloway, A. E. Gambrel, N. N. Gandilo, K. Ganga, S. Gourapura, R. Gualtieri, J. E. Gudmundsson, M. Halpern, J. Hartley, M. Hasselfield, G. Hilton, W. Holmes, V. V. Hristov, Z. Huang, K. D. Irwin, W. C. Jones, A. Karakci, C. L. Kuo, Z. D. Kermish, J. S.-Y. Leung, S. Li, D. S. Y. Mak, P. V. Mason, K. Megerian, L. Moncelsi, T. A. Morford, J. M. Nagy, C. B. Netterfield, M. Nolta, R. O’Brient, B. Osherson, I. L. Padilla, B. Racine, A. S. Rahlin, C. Reintsema, J. E. Ruhl, M. C. Runyan, T. M. Ruud, J. A. Shariff, E. C. Shaw, C. Shiu, J. D. Soler, X. Song, A. Trangsrud, C. Tucker, R. S. Tucker, A. D. Turner, J. F. van der List, A. C. Weber, I. K. Wehus, D. V. Wiebe, E. Y. Young, Spider Collaboration

“…Component-separation algorithms operating in both the spatial and harmonic domains are applied to probe their consistency and to quantify modeling errors associated with their assumptions. Analyses of diffuse Galactic dust emission spanning the full Spider region demonstrate (i) a spectral energy distribution that is broadly consistent with a modified-blackbody (MBB) model with a spectral index of β _d = 1.45 ± 0.05 (1.47 ± 0.06) for E ( B )-mode polarization, slightly lower than that reported by Planck for the full sky; (ii) an angular power spectrum broadly consistent with a power law; and (iii) no significant detection of line-of-sight polarization decorrelation. …”
Get full text

Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

“…The selected model shows the relationship between the amount of desert pavement and the Greenness and Brightness variables, with a correlation coefficient of 0.61 and a standard error of 23.2. The obtained model can predict approximately 61% of surface pavement changes in the study area. …”
Get full text