bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long period trend analysis of annual and seasonal rainfall in West Bengal, India (1901- 2020)
Authors: Halder Pallobi , Dey Roni Kumar , Mandal Satyabrata 
Published: November 2022

Abstract
The present study assessed long period (1901–2020) trends and magnitudes of seasonal and annual rainfall across districts of West Bengal. The non-parametric Mann-Kendall test and Sen’s slope estimator applied on the gridded (0.5˚ × 0.5˚) rainfall dataset. We used von Neumann ratio test (p < 0.05) for data homogenization. Tested autocorrelation using lag-1 autocorrelation coefficient (r1) at p < 0.05 and removed serial correlations if any using trend-free pre whitening (TFPW) technique. Results revealed that, both the annual and seasonal rainfall of West Bengal increased (at 0.02 mm year− 1 to 0.04 mm year− 1) non significantly (p > 0.05), except winter rainfall which decreased at 0.01 mm year− 1. Annual rainfall across the districts of sub Himalayan West Bengal (SHWB) declined. On the contrary, significant (p < 0.05) increase of annual rainfall observed across most of the districts of Gangetic West Bengal (GWB) at the rate of 1.8 mm year− 1 to 2.9 mm year− 1. Monsoon rainfall increased significantly (p < 0.05) over Gangetic West Bengal (GWB) at 1.4 mm year− 1 to 2.1 mm year− 1, while declined significantly (p < 0.05) in Dakshin Dinajpur district at 3.2 mm year− 1 of SHWB. Post-monsoon rainfall increased significantly (p < 0.05) over GWB at the rate of 0.2 mm year− 1 to 0.6 mm year− 1. The winter rainfall decreased non-significantly across all the districts except Dakshin Dinajpur, where significant (p < 0.05) decrease (@ 0.10 mm year− 1) observed. Thus, the derived location specific information on seasonal rainfall trends have immense utility in devising crop planning as well as livelihood security in West Bengal.
Development of a real-time reporting system of the reference interval for gestational serum creatinine and estimated glomerular filtration rate using machine learning
Authors: Uh Young , Ahn Kwangjin , Lee Taesic , Kang Jieun , Choi Seong Jin , Hwang Sangwon , Seo Dong Min , Cho Jooyoung 
Published: November 2022

Abstract
The evaluation of maternal serum creatinine (SCr) concentrations according to gestational week (GW)-specific reference intervals (RIs) could be helpful in predicting adverse pregnancy outcomes. From January 2010 to December 2020, 1,370 SCr measurements from 940 normal pregnant women were collected from electronic medical records. Data should be processed using the bootstrap resampling method as most of the sample sizes according to GW were too small for obtaining the RIs. To enable resampling, the GWs were divided into 12 gestational periods (GPs). Implementation of resampling, determination of the appropriateness of RIs from the resampled new datasets in every GP, and establishment of GW-specific SCr RI using polynomial regression model analysis of GP-specific SCr RIs were performed using machine learning techniques. As 100 means from two resampled SCr measurements without replacement were made at every GP, 1,200 resampled results were used for developing RIs. The regression equations used for calculating the upper and lower limit of GW-specific SCr RIs were y = 88.8 − 3.75x + 0.141x2 − 0.00157x3 and y = 42.3 − 1.48x + 0.0321x2, respectively. Gestational estimated glomerular filtration rate (eGFR) was defined as the rate of SCr hyperfiltration. The median regression equation for GW-specific eGFR RI was y = 99 + 5.71x − 0.184x2 + 0.00166x3, while the calculation process of SCr hyperfiltration at any GW was added to develop the gestational eGFR formula (GEF). As GW-specific SCr RI and eGFR by GEF with GW-specific eGFR RIs were reported in the laboratory information system in real time, this clinical application can be used as a screening tool for predicting the adverse pregnancy outcomes.
Active and Passive Immunization of Syrian Hamsters with An Attenuated SARS-CoV-2 Protects against New Variants of Concern
Authors: Wang Tony , Stauft Charles , Selvaraj Prabhuanand , D'agnillo Felice , Meseda Clement , Sangare Kotou , Pedro Cyntia , Liu Shufeng , Lien Christopher , Weir Jerry , Starost Matthew 
Published: November 2022

Abstract
Detection of secretory antibodies in the airway is highly desirable when evaluating mucosal protection by a vaccine against a respiratory virus like the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We show that a single intranasal delivery of an attenuated SARS-CoV-2 (Nsp1-K164A/H165A) induced both mucosal and systemic IgA and IgG in Syrian hamsters. Interestingly, either active or passive immunization of hamsters with Nsp1-K164A/H165A offered protection against heterologous challenge with variants of concern (VOCs) including Delta, Omicron BA.1, and Omicron BA.2.12.1. Among challenged animals, Nsp1-K164A/H165A vaccination specifically reduced viral loads in the respiratory tract and suppressed infection-induced macrophage accumulation and MX1 upregulation in the lung. The absence of variant-specific mucosal and systemic antibodies was associated with breakthrough infections, particularly of the nasal cavity following challenges with Omicron isolates. Together, our study demonstrates that an attenuated nasal vaccine may be developed to boost mucosal immunity against future SARS-CoV-2 VOCs.
First Mesomorphic and DFT Characterizations for supramolecular assemblies of 3 (or 4)-n-alkanoyloxy benzoic acids and their optical applications
Authors: El-Atawy Mohamed A. , Khan Mohd Taukeer , Popoola Saheed A. , Khushaim Muna S. , Jaremko Mariusz , Emwas Abdul-Hamid , Alamro Fowzia S. , Ahmed Hoda A. 
Published: November 2022

Abstract
Successful preparation of new liquid crystalline 3 (or 4)-n-alkanoyloxy benzoic acids, were designed and fully characterized via experimental and theoretical approaches. Elucidation of their molecular structures were carried out by elemental analyses, NMR and FT-IR, spectroscopy. Thermal and mesomorphic properties of all symmetrical dimers having -symmetrical alkanoyloxy chain, were analyzed by differential scanning calorimetry (DSC) and their mesophases identified by polarized optical microscopy (POM). Results revealed that, the smectic mesophase covered all designed symmetrical dimers with thermal stability depending on the length of terminal alkanoyl moiety. Furthermore, the results of the Density Functional Theory (DFT) calculations supported the observed experimental data for the mesomorphic behaviour. The para-derivatives (In) of the alkanoyloxy benzoic acids were predicted to be stable with greater hydrogen bonding interactions than the meta (IIn) counterparts. The computed reactivity parameters revealed that the acids reactivity was influenced by the position of ester substituent. The absorbance spectra of both para and meso derivatives were noticed to be blue shifted with the increase of alky side, however, the energy band gap of meso-derivatives was found to be slightly higher than para-derivates. The synthesized materials exhibit broad photoluminescence spectrum which was noted to be red shifted with the increase of side chain length. The fluorescence lifetime was found to be increases with the increase of alkyl side chain length, and meso-derivatives have slightly longer lifetime as compared to the para-derivatives.
Climate warming drives a temperate-zone lizard to its upper thermal limits, restricting activity, and increasing energetic costs
Authors: Doucette Lisa I , Duncan Richard P , Osborne William S , Evans Murray , Georges Arthur , Gruber Bernd , Sarre Stephen D 
Published: November 2022

Abstract
Ectotherms are considered vulnerable to climate change as many operate at close to their thermal maxima. Exposure to higher temperatures could reduce activity by forcing animals to shelter in thermal refugia to avoid exceeding lethal limits. While rising temperatures should reduce activity in tropical species, the situation is less clear for temperate-zone species where activity can be constrained by both low and high temperatures. Here, we measure the effects of natural variation in environmental temperatures on activity in a temperate grassland lizard and show that it is operating at its upper thermal limit in summer even when sheltering in thermal refuges. As air temperatures increased above 32°C, lizard activity declined markedly as individuals sought refuge in cool microhabitats while still incurring substantial metabolic costs. We estimate that warming over the last two decades has required these lizards to increase their energy intake by over 20% to offset metabolic losses caused by rising temperatures. Our results show that recent increases in temperature are sufficient to exceed the thermal and metabolic limits of temperate-zone lizards. Extended periods of high temperatures could place natural populations of ectotherms under significantly increased environmental stress and contribute to population declines and extinction.
Split-type flexible magnetic tactile sensor with three-dimensional force decoupling
Authors: Dai Huangzhe , Zhang Chengqian , Hu Hao , Sun Haonan , Lyu Chenxin , Tang Daofan , Fu JianZhong , Zhao Peng 
Published: November 2022

Abstract
Tactile sensory organs for three-dimensional (3D) force, such as human skin and fish's lateral line, are indispensable for creatures. Empowered by their often layered structure, typical sensory organs can achieve excellent perception as well as protection when facing frequent mechanical contact. Here, inspired by these layered structures, we introduce a split-type flexible magnetic tactile sensor with wireless sensing for 3D force with high accuracy (0.83%), through developing centripetal magnetization arrangement and theoretical decoupling model. Adjustable sensing performance is obtained to adapt to specific application scenarios by employing buffer layers with corresponding properties. Benefiting from the split design with long effective distance (> 20 mm) and replaceable buffer layer, several sensors are assembled in air and water to achieve delicate robotic operation and water flow-based navigation with offset < 0.65%, illustrating broad potential of magnetic tactile sensors in flexible electronics, human-machine interaction, and bionic robots.
Simulation-based education in neurology: lessons from the COVID-19 pandemic.
Authors: Toro Jaime , Rivera Juan Sebastián , Gaitán Jairo , Rodríguez Daniela , Serna-Corredor Laura Andrea , Cortés-Muñoz Fabián , Medina Thomas , Yepes Manuel 
Published: November 2022

Abstract

Objectives
The COVID-19 pandemic has led to the disruption of all sectors of the economy including education. According to UNESCO over 1.37 million young people including medical students, were affected by the lockdowns in response to COVID-19 and the subsequent closure of the education system. The primary challenge for medical education was to provide clerkships in a biosafety environment. This study aimed to determine the impact of a simulated hospital in a neurology clerkship of 5-year medical students during the coronavirus pandemic and compare their results with a non-pandemic group in Bogotá, Colombia.
Results
The students in the pandemic group answered a Likert scale survey regarding their satisfaction with the simulated hospital. Both groups were required to perform an oral, mid-term and final examination. From the results, it is clear that students perceived that exposure to a simulated hospital facilitated their learning process (93.1%) and allowed greater interaction with the teacher compared to a face-to-face environment (77.3%). There were no clinically significant differences in test results. This experience indicates that a simulated hospital is a valuable method to acquire clinical skills in trainees, that could be integrated into the curricular milestones of medical education programs regardless of the pandemic.
Dissolution Profile Evaluation of Seven Brands of Amoxicillin-Clavulanate Potassium 625 mg Tablets Retailed in Hawassa Town, Sidama Regional State, Ethiopia
Authors: Endashaw Eyob , Tatiparthi Ramanjireddy , Mohammed Tesfaye , Tefera Yesuneh Mekasha , Teshome Henok , Duguma Markos 
Published: November 2022

Abstract
Back-ground: Poor quality Amoxicillin-clavulanate potassium tablets have been recently discovered in generic drugs related to Augmentin-like medicines containing amoxicillin and clavulanic acid, as well as its derivatives containing falsified active ingredients. One of the most important dosage form characteristics is a detailed API dissolution profile obtained through dissolution testing. The dissolution test is used in the development of both brand-name and generic drugs. Prior to beginning bioequivalence studies, it is critical to compare the dissolution profiles of various pharmaceutical products. As a result, dissolution is a critical quality control parameter for drugs because it has a direct impact on absorption. Objective: Dissolution Profile Evaluation of Seven Brands of Amoxicillin-Clavulanate Potassium Tablets Retailed in Hawassa Town, Sidama Regional State, Ethiopia. Methods: The seven brands of amoxicillin-clavulanate potassium tablets were collected from Hawassa town, Sidama Regional State, Ethiopia. The dissolution study was conducted as per USP40-NF35, and the dissolution profile was compared by One-way ANOVA Dunnett’s test, model independent, and model dependent method Results: All of the included tablet brands complied with single-point dissolution study specification. Statistical comparisons of the dissolution profile by one-way ANOVA revealed that all brands had similar dissolution profiles (p > 0.05). All brands had difference factor (f1) < 15%. However, the f2 (similarity factor) value justify that all tested brands of Amoxicillin and clavulanate potassium tablet values were outside of an acceptable range of USFDA (< 50%). The evaluated brands followed the Korsmeyer peppas- followed by Weibull curve approach (the highest coefficient of determination) for the release of drug substances from the dosage forms. Based on the fit factor f2 (similarity), all tested brands may be not be considered interchangeable with the innovator drug. Therefore, Researcher, the national Medicine regulatory bodies, and the manufacturer should conduct a properly designed dissolution test as proof of in vitro bioequivalence study supported by an in vivo bioavailability data.
Defining the Penumbra in a Preclinical Model of Subarachnoid Hemorrhage
Authors: Lynch Daniel G. , Shah Kevin A. , Unadkat Prashin , Powell Keren , Wadolowski Steven , Ayol Willians Tambo , Strohl Joshua J. , Woo Henry H. , Eidelberg David , Huerta Patricio T. , Li Chunyan 
Published: November 2022

Abstract
Subarachnoid hemorrhage (SAH) is a form of stroke that most often results from a ruptured cerebral aneurysm that spills blood into the surrounding tissue. In contrast with the well-established and predictable ischemic penumbra regions in ischemic stroke, this crucial therapeutic target has not yet been well-described in SAH. Considering that SAH may cause micro-infarcts and delayed cerebral ischemia far from the aneurysm rupture, and that these disruptions are closely linked to behavioral impairments, it is important to study the progression of penumbras. Notably, behavioral assessments can detect and approximately localize dysfunctional brain regions before permanent damages occur following SAH. Therefore, we hypothesized that the spatiotemporal distribution and progression of the core and penumbra in SAH may be predicted by specific patterns of behavioral impairment. To test this hypothesis, we induced SAH using an endovascular filament perforation model, which is considered a close mimic of ruptured aneurysms in humans, and employed a behavioral battery at multiple time points followed by a histopathological analysis of brain tissue. Our results demonstrate that sensorimotor deficits occur early after SAH and remained static, while impairments in working memory, reference memory, exploration, and anxiety evolved in association with specific histologic lesions. All SAH rats displayed core infarctions in the cerebral cortex, basal ganglia and hypothalamus; whereas penumbras were found in the hippocampus (100%), thalamus (80%), and amygdala (60%). Our study underscores the importance of identifying the penumbra regions following SAH and the utility of neurobehavioral tests for assessing multiple cognitive domains to detect and localize penumbra.
N6-methylandenosine-related lncRNAs play a key role in the prognosis and immune microenvironment of colon cancer
Authors: Tang Haifeng , Cao Tiansheng 
Published: November 2022

Abstract
Long noncoding RNAs (lncRNA) plays major roles in cancer. Few researchers have investigated the correlation between N 6-methyladenosine-related lncRNAs and immune cell infiltration in colon cancer. This study aims at exploring immune cell infiltration in the tumor microenvironment and clarify its relationship with the clinicopathological parameters of colon cancer. This study conducted a bioinformatics study on the regulatory mechanism of m6A-related lncRNA in colon cancer and screened out 13 m6A-related lncRNAs. Different colon cancer patients have different lncRNA subtypes in terms of overall survival, The overall survival of cluster2 is higher. The prognostic risk score of m6A-related lncRNA is closely related to clinicopathological characteristics (Grade), two subtypes and immune cell infiltration.
Predictive Value and Dynamic Risk Stratification of High Sensitive Basal or Stimulated Thyroglobulin Assay in a Long-term Thyroid Carcinoma Cohort
Authors: Fernández-Velasco Pablo , Diaz-Soto Gonzalo , Pérez-López Paloma , Torres Beatriz , de Luis Daniel 
Published: November 2022

Abstract
Purpose
To evaluate the predictive value and Dynamic Risk Stratification (DRS) of rhTSH-thyroglobulin (Tg) and highly sensitive basal Tg (hs-Tg) measurements at 12 months after completion of initial treatment in a Differentiated Thyroid Carcinoma (DTC) cohort.
Methods
Prospective study in all 114 patients diagnosed of DTC (77.2% women) from 2014 to 2020 undergoing total thyroidectomy and radioiodine ablation in whom hs-Tg and rhTSH-Tg was performed 12 months after completing initial treatment. Mean age was 46.4 ± 14.1 with a follow-up of 7.9 ± 5.9 years. We evaluated the ability of both tests to predict the long-term response and DRS at the last follow-up visit.
Results
hs-Tg and rhTSH-Tg show a strong positive lineal correlation r = 0.864,p < 0,001. The diagnostic performance of initial hs-Tg and rhTSH-Tg levels were evaluated via ROC-AUC as a predictor of Excellent Response (ER) in last follow-up visit. Hs-Tg showed a better AUC (0.969,95%CI = 0.941–0.997) than rhTSH-Tg (0.944,95%IC = 0.905–0.984);p < 0.001. The hs-Tg and rhTSH-Tg cutoff point of highest sensitivity (S) and specificity (E) was 0.110 and 0.815ng/dl, respectively. Hs-Tg showed a higher diagnostic accuracy than rhTSH-Tg (S = 100%vs96.8%, E = 84.3%vs84.3%, NPV = 100%vs98.6%, PPV = 70.5%vs69.7%;p < 0.05). The DRS based on initial hs-Tg showed better ability to predict ER (93.3% vs 86.7%) and biochemical incomplete response (53.3%vs13.3%) in the last follow-up visit than rhTSH-Tg.
Conclusions
Initial hs-Th and rhTSH-Tg were a good predictor of long-term ER. In patients with hs-Tg, the rhTSH-test did not provide relevant diagnostic information. An ER after initial treatment was associated with a very high NPV at subsequent follow-up.
A Multisite Exploration of the Association between Critical Care Implementation Factors and Clinical Outcomes during the COVID-19 Pandemic
Authors: Silver Santana , Redmond Sarah , Jones Kayla Christine , George Emily , Zornes Sarah , Barwise Amelia , Leppin Aaron , Dong Yue , Harmon Lori , Kumar Vishakha , Kordik Christina , Drainoni Mari-Lynn , Walkey Allan 
Published: November 2022

Abstract
Background
Little is known about the strategies used by critical care leaders to implement new practices in response to the COVID-19 pandemic. Prior studies have identified implementation factors, such as structured communication mechanisms and collaborative leadership styles, that facilitate implementation of new clinical practices. However, the association between differing implementation climates and COVID-19 clinical outcomes has not been examined. The purpose of this mixed methods study was to evaluate the relationship between implementation determinants and COVID-19 mortality rates.
Methods
We used mixed methods guided by the Consolidated Framework for Implementation Research (CFIR) to assess implementation factors that were associated with COVID-19 mortality rates across diverse critical care settings. Semi-structured qualitative interviews were conducted with critical care leaders and analyzed using the CFIR to rate the influence of constructs on implementation of new care practices. Qualitative and quantitative comparisons of CFIR construct ratings were performed between hospital groups with low versus high mortality rates.
Results
31 clinical leaders were interviewed across 17 hospitals. Of the 13 relevant CFIR constructs, three constructs (implementation climate, leadership engagement, and engaging staff) had both qualitative and statistically significant quantitative correlations with mortality outcomes. An implementation climate governed by a trial-and-error approach was correlated with high COVID-19 mortality, while leadership engagement and engaging staff were correlated with low mortality. Another three constructs (needs of patient; organizational incentives and rewards; and engaging implementation leaders) were qualitatively different across mortality outcome groups, but these differences were not statistically significant. Seven constructs did not distinguish between low versus high mortality hospitals based on qualitative or quantitative comparison of CFIR construct ratings.
Conclusions
Application of the CFIR to identify and quantify constructs across critical care settings enabled us to characterize implementation barriers and facilitators at the practice, interpersonal, and provider level that were associated with COVID-19 mortality rates. Improving clinical outcomes during future public health emergencies will require reducing identified barriers associated with high mortality and harnessing salient facilitators associated with low mortality. Our findings suggest that clinical care implementation efforts should focus on avoiding trial-and-error approaches to adopting new practices, while promoting collaborative and engaged leadership styles.