Analysis of Ionospheric Disturbances in China During the December 2023 Geomagnetic Storm Using Multi-Instrument Data by Jun Tang, Sheng Wang, Jintao Wang, Mingxian Hu, Chaoqian Xu

“…The results provide scientific implications for improving GNSS positioning stability in mid- and low-latitude regions.…”
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The Effects Of Differing Density Of Swim-Training Sessions On Shoulder Range Of Motion and Isometric Force Production In National and University Level Swimmers by Matias Yoma, Lee Herrington, Tanya Mackenzie

“…The results were evaluated by the level of significance (p-value), effect size, and whether changes exceeded the measurement error. # Results University-level swimmers had lower baseline ER torque (p= 0.006; d= 2.55) and IR torque (p= 0.011; d= 2.42) than national-level swimmers. …”
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The impact of knowledge management on business performance with emphasis on the role of accounting information quality (Case study: financial institutions listed on the Tehran Capi... by Rahele Mashaykhi, Ahmad Pifeh, Hamed Ahmadzade

“…On the other hand, examining the moderating effect coefficient of the accounting information quality variable on the relationship between knowledge management and business performance is (0.461, 0.594) and the significance value (t-value) is (4.04, 7.69) and is greater than 1.96 and at a confidence level of 0.95; we concluded that this path coefficient is significant at an error level of 0.05; that is, accounting information quality moderates the relationship between knowledge management and business performance.Research limitations/implications: Among the limitations we faced during the research are: Due to the nature of the methodology, this research required the cooperation of the respondents to complete the questionnaire, and some of the respondents refused. …”
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Radiative Decay Branching Ratio of the Hoyle State in 12C via Charged Particle Coincidence Techniques by Dell’Aquila D., Lombardo I., Redigolo L., Vigilante M., Angelini F., Baldesi L., Barlini S., Best A., Camaiani A., Casini G., Ciampi C., Cicerchia M., D’Andrea M., Diklić J., Fabris D., Gongora Servin B., Gottardo A., Gramegna F., Imbriani G., Marchi T., Massara A., Mengoni D., Ordine A., Palada L., Pasquali G., Piantelli S., Pilotto E., Rapagnani D., Sigmund M., Stefanini A., Stramaccioni D., Tagnani D., Tišma I., Valdré S., Verde G., Vukman N.

“…Large care is devoted to having under full control two of the major sources of systematic errors in particle-coincidence experiments: the coincidence efficiency and the spurious coincidence rate. …”
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Analysis of retirees' knowledge return in the supply chain of Isfahan Refinery with a combined approach of interpretive structural modeling and structural equation modeling by Mehran Ziaeian, Somayeh Ahmadzadeh, Abdolrasoul Yazdi

“…Originality/value: Using the experiences and knowledge of retirees in the Isfahan Refinery supply chain can bring various benefits such as reducing costs and time wasted due to trial and error, reducing rework, improving performance, etc. …”
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The neural signature of high myopia: structural and functional brain alterations and their cognitive-emotional associations by Xuan Li, Kuan Zhao, Kuan Zhao, Kuan Zhao, Boling Deng, Boling Deng, Boling Deng, Zhengzheng Wu, Zhengzheng Wu, Zhengzheng Wu, Ling Wei, Ling Wei, Ling Wei

“…Beyond refractive error, myopia is increasingly recognized as a systemic condition with neurological implications, associated with visual dysfunction and structural retinal–choroidal alterations. …”
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Genetic correlation analysis of calving ease and gestation length of Korean Holstein cattle by Mahboob Alam, Jae-Gu Lee, Chang-Gwon Dang, Seung-Soo Lee, Sang-Min Lee, Ha-Seung Seong, Mina Park, JaeBeom Cha, Eun-Ho Kim, Hyungjun Song, Seokhyun Lee, Joonho Lee

“…Although the genetic influence of GL on CE was not entirely clear due to large estimation errors for parameters, overall positive associations between direct effects and maternal effects essentially indicate a selection potential for GL as an indicator trait of CE. …”
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Driplines Layout Designs Comparison of Moisture Distribution in Clayey Soils, Using Soil Analysis, Calibrated Time Domain Reflectometry Sensors, and Precision Agriculture Geostatis... by Agathos Filintas

“…A and sensor calibration method 2 for the geospatial 2D imaging of PA GIS maps because these were found to be more accurate, with the lowest statistical and geostatistical errors, and the best validation measures for accurate profile SWC imaging were obtained for clay loam over clay soils. …”
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Integrating RS data with fuzzy decision systems for innovative crop water needs assessment by Faezeh Sadat Hashemi, Mohammad Javad Valadan Zoej, Fahimeh Youssefi, Huxiong Li, Sanaz Shafian, Mahdi Farnaghi, Saied Pirasteh

“…The estimated evapotranspiration was compared to Reference Evapotranspiration (ETr) obtained from the FAO-Penman-Monteith equation, resulting in a root mean square error of 0.33 mm. The fuzzy decision system was evaluated by comparing its results with Vegetation Water Content (VWC) measurements during satellite overpass time. …”
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Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques by C. Zhang, X. Niu, H. Wu, Z. Ding, K. L. Chan, J. Kim, T. Wagner, C. Liu, C. Liu, C. Liu

“…Evaluation against ground-based measurements demonstrates that GeoNet accurately predicts diurnal variations and spatial distribution details of next-day NO<span class="inline-formula">₂</span> pollution, yielding a coefficient of determination of 0.68 and a root mean square of error of 12.31 <span class="inline-formula">µg</span> m<span class="inline-formula">⁻³</span>, significantly surpassing traditional air quality model forecasts. …”
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Bezlotoxumab prevents extraintestinal organ damage induced by Clostridioides difficile infection by Steven J. Mileto, Melanie L. Hutton, Sarah L. Walton, Antariksh Das, Lisa J. Ioannidis, Don Ketagoda, Kylie M. Quinn, Kate M. Denton, Diana S. Hansen, Dena Lyras

“…As the thymus has such a crucial role in T cell production and immune system development, these findings may have important implications in relapse of C. difficile disease and impaired immunity during C. difficile infection. …”
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Chronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised tr... by Jihoon A Kim, Anjali Sankar, Rebecca Marks, Erin Carrubba, Bernadette Lecza, Susan Quatrano, Linda Spencer, R. Todd Constable, Brian Pittman, Eli R Lebowitz, Wendy K Silverman, Holly A Swartz, Hilary P Blumberg

“…Nineteen BE-SMART-DR and 16 BE-SMART-ER participants completed the intervention, with 11 and 13, respectively, having pre-intervention and post-intervention functional MRI data.Findings In addition to demonstrating feasibility, only BE-SMART-DR showed pre-treatment to post-treatment improvements in DR regularity (Cohen’s d=0.55; 95% CI [0.06, 1.03]), associated with reductions in left amygdala responses to emotional face stimuli (pFWE (family-wise error)-SVC (small volume correction)&lt;0.05), difficulties in emotion regulation (d=0.75; 95% CI [0.23, 1.25]) and suicide risk (d=0.65; 95% CI [0.15, 1.14]). …”
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Enhancing water balance simulations in SWAT for paddy-dominated catchments through refined soil moisture dynamics by Meng Xiang, Di Wu, Qianan Yu, Haitao Wu, Tianchi Cai, Yuanlai Cui

“…The improvements in the Nash-Sutcliffe efficiency coefficient(NSE) and relative error coefficient(RE) demonstrate that SWAT-PW shows promise for improving predictions of water balance components and runoff compared with the original SWAT model and existing SWAT-MD model, which are critical for optimizing irrigation scheduling and reducing water waste in paddy fields. …”
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The gas discharge visualization (GDV) order parameter model based on the principle of mastering both permanence and change by Yu Xin, Lei Zhang, Qiancheng Zhao, Yurong She, Zhensu She, Shuna Song

“…We also compare the mean square error (MSE) with classification methods based on age, gender, and body mass index (BMI) indices to verify that the phase space possesses the ability to portray the health status of the human body. …”
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People adhere to content warning labels even when they are wrong due to ecologically rational adaptations by Benjamin D. Horne, Dorit Nevo

“…Specifically, news consumers form heuristics based on past interactions with warning labels, and those heuristics can spill-over into new media environments where warning label errors are more frequent. The most important implication of these results is that it is more important to thoughtfully consider what information needs to be labeled than it is to attempt to label all false information. …”
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Intimate partner violence related to disclosure of sickle cell disease during pregnancy: evidence from the sickle cell belt of central India by Nafisa Halim, Archana Patel, Archana Patel, Janet M. Turan, Anuradha V. Shrikhande, Patricia L. Kavanagh, Mari-Lynn Drainoni, Mari-Lynn Drainoni, Mari-Lynn Drainoni, David Henderson, David Henderson, David Henderson, Shweta Murali Anand, Nandini Agarwal, Patricia L. Hibberd, Patricia L. Hibberd, Patricia L. Hibberd

“…We used the 49-item Indian Family Violence and Control Scale (α = 0.88) to measure IPV and estimated associations using binomial logistic regressions with robust standard errors.ResultsPregnant women with a positive solubility test were at least twice as likely to experience physical, sexual, or psychological IPV as pregnant women with a negative solubility test, even after adjusting for baseline differences between these two groups on common IPV risk factors including the lower level of education and scheduled-caste membership.ConclusionPregnant women who have a positive solubility test are at risk of IPV after following routine instructions to disclose their test results to their male partners, so that they can undergo further testing to determine the baby’s risk of SCD, sickle cell trait, or no risk.ImplicationsIn resource-poor settings with high SCD prevalence, antenatal clinics are increasingly screening pregnant women to prevent mother-to-child transmission of SCD. …”
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Oscillatory activity in the medial prefrontal cortex and nucleus accumbens correlates with impulsivity and reward outcome. by Nicholas A Donnelly, Tahl Holtzman, P Dylan Rich, Alejo J Nevado-Holgado, Anushka B P Fernando, Gert Van Dijck, Tobias Holzhammer, Oliver Paul, Patrick Ruther, Ole Paulsen, Trevor W Robbins, Jeffrey W Dalley

“…In a subgroup of rats showing persistently high levels of impulsivity we found that impulsivity was associated with increased error signals following a nose-poke response, as well as reduced signals of previous trial outcome during the waiting period. …”
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Drug-Food Interactions: The Hidden Frontier in Clinical Practice by Muhammad Saleh Faisal

“…., the effects are either increased decreased, or a new effect is produced that neither substance causes on its own.1 It represents an important source of medication errors.2 In contemporary clinical practice, drug-drug interactions (DDIs) are a well-established concern, and there are protocols, alerts, and clinical guidelines in place to reduce harm.3 In contrast, drug-food interactions (DFIs) have long been under-recognised and frequently overlooked in pharmacotherapy. …”
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Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare by Saeideh Davoudi, Gabriela Lopez Arango, Florence Deguire, Inga Sophie Knoth, Fanny Thebault-Dagher, Rebecca Reh, Laurel Trainor, Janet Werker, Sarah Lippé

“…Our results indicate that DL networks outperform conventional ML models, capturing complex non-monotonic EEG characteristics and predicting the biological age with a mean absolute error of only one month (MAE = 1 month, 95 %CI:0.88–1.15, r = 0.82, 95 %CI:0.78–0.85). …”
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Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning by Qiushi Wang, Xixiang Deng, Pan Huang, Qiang Ma, Lianhua Zhao, Yangyang Feng, Yiying Wang, Yuan Zhao, Yan Chen, Peng Zhong, Peng He, Mingrui Ma, Peng Feng, Hualiang Xiao

“…Therefore, the application of deep learning models to segment and quantitatively predict PD-L1 expression in digital sections of Hematoxylin and eosin (H&amp;E) stained lung squamous cell carcinoma is of great significance.MethodsWe constructed a dataset comprising H&amp;E-stained digital sections of lung squamous cell carcinoma and used a Transformer Unet (TransUnet) deep learning network with an encoder-decoder design to segment PD-L1 negative and positive regions and quantitatively predict the tumor cell positive score (TPS).ResultsThe results showed that the dice similarity coefficient (DSC) and intersection overunion (IoU) of deep learning for PD-L1 expression segmentation of H&amp;E-stained digital slides of lung squamous cell carcinoma were 80 and 72%, respectively, which were better than the other seven cutting-edge segmentation models. The root mean square error (RMSE) of quantitative prediction TPS was 26.8, and the intra-group correlation coefficients with the gold standard was 0.92 (95% CI: 0.90–0.93), which was better than the consistency between the results of five pathologists and the gold standard.ConclusionThe deep learning model is capable of segmenting and quantitatively predicting PD-L1 expression in H&amp;E-stained digital sections of lung squamous cell carcinoma, which has significant implications for the application and guidance of immune checkpoint inhibitor treatments. …”
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