bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preference and performance of thrips, Megalurothrips distalis Karny on selected greengram accessions
Authors: M REVATHI , V Selvanarayanan 
Published: January 2024

Abstract
Many studies conducted in the last few decades focused solely on the field screening of greengram against thrips. There has not been much research done on the interaction between thrips, Megalurothrips distalis and greengram. So, in the current study, several laboratory experiments were carried out to determine the feeding and oviposition preferences of M. distalis on terminal leaves and flowers of selected greengram accessions, as well as to compare the biological preferences of M. distalis on terminal leaves and flowers of selected greengram accessions. In the free choice tests, when compared to accession IC-39380, IC-39430, and IC-103862, the M. distalis population showed a lower feeding preference for accession IC-329039-1, followed by accession IC-325782. Furthermore, under laboratory conditions, the M. distalis population reared on accession IC-329039-1 showed significantly slower development, shorter lifespan and lower survival and fecundity rate than the other four accessions. Overall, the current study could help us to understand how M. distalis interacts with its selected greengram accessions. As a result, these findings indicate that the abundance of thrips populations varies among the selected accessions and is heavily influenced by the identity and condition of the respective accessions. These contributions may help us develop a better IPM control programme for thrips in the future.
Protein structure-based organic chemistry-driven ligand design from ultra-large chemical spaces
Authors: Rognan Didier , Sindt François , SEYLLER Anthony , Eguida Merveille 
Published: January 2024

Abstract
Ultra-large chemical spaces describing several billion compounds are revolutionizing hit identification in early drug discovery. Because of their size, such chemical spaces cannot be fully enumerated and requires ad-hoc computational tools to navigate them and pick potentially interesting hits. We here propose a structure-based approach to ultra-large chemical space screening in which commercial chemical reagents are first docked to the target of interest and then directly connected according to organic chemistry and topological rules, to enumerate drug-like compounds under three-dimensional constraints of the target. When applied to bespoke chemical spaces of different sizes and chemical complexity targeting two receptors of pharmaceutical interest, the computational method was able to quickly enumerate hits that were either known ligands (or very close analogs) of targeted receptors as well as chemically novel candidates that could be experimentally confirmed by in vitro binding assays. The proposed approach is generic, can be applied to any docking algorithm and requires few computational resources to prioritize easily synthesizable hits from billion-sized chemical spaces.
Northward shift of pre-monsoon winds exacerbating heatwaves over India
Authors: Mondal Arpita , Jha Roshan , Ghosh Subimal , Murtugudde Raghu 
Published: January 2024

Abstract
India has observed increasingly persistent heat extremes in recent decades, that pose environmental, agricultural, and human health challenges. North-Central India, a highly populated region prone to heatwaves, has experienced record maximum temperatures (>48°C) during the pre-monsoon season. While studies have shown positive trends in heatwaves due to rising air temperature during pre-monsoon season, we identify a shift in pre-monsoon mean daily maximum temperature over North-Central India, resulting in an increase in seasonal mean maximum temperature by 0.7°C post-1998. The jump in temperature is associated with a weakening of mid-tropospheric zonal winds as a result of a northward migration of the subtropical jet since 1998. Further, comparing the two regimes before and after the shift, we find that the frequency and duration of heatwaves have accelerated in the latter regime. We also observe that the recent increase in heatwaves is associated with an increase in negative vorticity indicating increasing anticyclonic circulations over North-Central India. These findings highlight that the exacerbation of heatwaves in North-Central India is primarily driven by atmospheric dynamical changes triggered by a regime shift, further compounded by global warming.
Nowcasting methods to improve the performance of Respiratory Sentinel Surveillance: Lessons from the COVID-19 Pandemic
Authors: Flores-Alvarado Sandra , Olivares María Fernanda , Vergara Natalia , García Christian , Canals Mauricio , Cuadrado Cristóbal 
Published: January 2024

Abstract
Respiratory diseases, including influenza and coronaviruses, pose recurrent global threats. This study delves into the respiratory surveillance systems, focusing on the effectiveness of SARI sentinel surveillance for total and severe cases incidence estimation. Leveraging data from the COVID-19 pandemic in Chile, we examined a 159-week period comparing census surveillance results of confirmed cases and hospitalizations, with sentinel surveillance carried out during the same period. Our analyses revealed a consistent underestimation of total cases and an overestimation of severe cases of sentinel surveillance. To address these limitations, we introduce a nowcasting model, improving the precision and accuracy of incidence estimates. Our findings are applicable beyond COVID-19, with implications for respiratory virus surveillance and early detection of respiratory epidemics. The nowcasting model offers real-time insights into an outbreak for public health decision-making, using the same surveillance data that is routinely collected. This approach enhances global preparedness for emerging respiratory diseases by the development of practical solutions with wide-ranging applications in public health.
A Systematic Review and Meta-Analysis of Tau Protein and Other Major Biomarkers that Predict Unfavorable Outcomes in Severe Traumatic Brain Injury
Authors: Behzadi Faraz , Luy Diego D. , Zywiciel Joseph F. , Schaible Peter A. , Puccio Ava M. , Germanwala Anand V. 
Published: January 2024

Abstract
Introduction: Initial traumatic brain injury (TBI) presentation and late clinical outcomes are usually evaluated by the Glasgow Coma Scale which lacks strong prognostic predictability. Several blood biomarkers have been linked to TBI, such as Tau, GFAP, UCH-L1, S-100B, and NSE. Clinical values of TBI biomarkers have yet to be evaluated in a focused multi-study meta-analysis. We reviewed relevant articles evaluating potential relationships between TBI biomarkers and both early and 6-month outcomes.
Methods: All PubMed article publications from January 2000 to November 2023 with the search criteria: “Biomarker” AND “Traumatic Brain Injury” were included. Amongst all comparative studies, the sensitivity means and range values of biomarkers in predicting CT Rotterdam scores, early ICU admission in the early period, or predicting GOS-E < 4 at the 6-month period were calculated from confusion matrices. Sensitivity values were modeled for each biomarker across studies and compared statistically for heterogeneity and differences.
Results: From the 65 articles that met our criteria, 13 were included in this study. Six articles involved early-period TBI outcomes and seven involved 6-month outcomes. In the early period TBI outcomes, GFAP had a superior sensitivity to UCH-L1 and S-100B, and similar sensitivity to the CT Rotterdam score. In the 6-month period TBI outcomes, total Tau and NSE both had significant interstudy heterogeneity, making them inferior to GFAP, phosphorylated Tau, UCH-L1, and S-100B, all four of which had similar sensitivities at 75%. This sensitivity range at 6-month outcomes was still relatively inferior to the CT Rotterdam score (85%).
Conclusion: In this meta-analysis study, total Tau did not show any advantages in the severe TBI 6-month prognosis with GOS-E < 4, and phosphorylated Tau was similar in its sensitivity to other biomarkers such as GFAP and UCH-L1 and still inferior to the CT Rotterdam score. TBI biomarkers need stronger sensitivity evidence to support a more cost-efficient model.
Variation of Possion’s ratio of hard rocks during compression and an innovative determination method based on axial loading-unloading test
Authors: Yang Jianan , Fan Pengxian , Gao Hui , Dong Lu 
Published: January 2024

Abstract
The Poisson’s ratio of hard rock exhibits a marked stress dependence, which is contrary to its mechanical definition as an elastic constant. Thus, it is of great importance to determine the Poisson’s ratio through a reasonable method. To investigate the Poisson effect of multiple types of hard rocks (sandstone, basalt, granite, and marble), the uniaxial loading–unloading tests are carried out. The test results indicate that whether the tangent Poisson’s ratio or the average Poisson’s ratio, all gradually increases with the stress level. And the stress dependence of the average Poisson’s ratio under the unloading path is reduced, which is significant in the low and medium stress intervals. Appropriately increasing the number of loading–unloading cycles can also improve the stability of the average Poisson’s ratio to some extent. Based on this, a new method for testing the average Poisson’s ratio is proposed, which can effectively exclude the effect of irreversible displacement of rocks and improve the stability of the average Poisson’s ratio. The test procedure is simple and has good application prospects.
A study of using Haddon matrix to explore road environment improvement in school zones
Authors: Lin Wei-Quan , Liao Ying-Xin , Liu Hui , Ruan Hui-Hong , Sun Si-Yu , Liu Xiang-Yi , Fang Ying-Ying , Cui Min-Yan , Shen Ji-Chuan 
Published: January 2024

Abstract
Background
Road traffic-related injuries are a public health problem worldwide and could be extremely harmful to the lives of children. However, limited studies explore the risk factors of road traffic-related injuries in Haddon matrix to improve children road safety in China.
Methods
Based on literature review, we specified a framework of risk factors of road traffic-related injuries in Haddon matrix for schoolchildren pedestrians. Then, we formulated Haddon matrix under pre-intervention data including a baseline questionnaire survey and on-the-spot investigation toward schoolchildren and their parents of a primary school. According to the risk factors in Haddon matrix, some interventions were implemented in the school zones. After applying the interventions, we again conducted the questionnaire survey to compare the differences before and after the interventions, thereby to see the effect of implementation.
Results
We determined the risk factors of road traffic-related injuries for schoolchildren pedestrians of the school in Haddon matrix. Three main interventions were proposed according to the Haddon matrix and the possibility of implementation, including implementing road safety education, improving road safety environment near the school zones, and implementing Family-Police-School traffic assistant mode. The interventions effectively improve the road environment as 7.87% increase in schoolchildren who always felt safe when walked near the school, 15.46% increase in schoolchildren who thought it was easy to cross the road, and 11.25% increase in parents who agreed it was always safe for their children to walk to school alone (P < 0.05). Most participants were satisfied with the interventions and thought the interventions were worth promoting (P < 0.01).
Conclusions
Schoolchildren are vulnerable road users, and they are in high risks of road traffic-related injuries. Therefore, more future studies analyzing risk factors associated with road traffic-related injuries in Haddon matrix are required to better protect children from road traffic-related injuries and deaths.
Effects of integrated care on the quality of life and social relationships of older adults in South Korea
Authors: Lee Hyun-Ji , Yoo Ae Jung , Bang Hyo Jung , Choi Jae Woo 
Published: January 2024

Abstract
Objectives: This study examined the effects of integrated care on the subjective quality of life and social relationships of older adults in South Korea.
Methods: We combined data from the National Health Insurance Service and a survey of older adults across local governments participating in a pilot project for integrated care. To compare before and after participation in the pilot project, regression analysis was performed using the generalized estimation equations. The dependent variables were subjective quality of life and social relationships comprising the number of people who can help and the number of people met.
Results:
Older adults’ subjective quality of life significantly improved by 0.35 points, and the number of people who could help them significantly increased by 0.09 people after participation in the pilot project for integrated care. The results were similar when anayzed by sex and age. When analyzed by sex, subjective quality of life increased by 0.36 for men and by 0.34 for women. The number of people who can help increased by 0.13 for men and by 0.07 for women. As a results of analysis according to age, subjective quality of life significantly increased by 0.45 for older adults aged 65-74, by 0.31 for older adults aged 75 and over. The number of poeplle who can help significantly increased by 0.15 for older adults aged 65-74 and by 0.07 for aged 75 and over. The number of people met decreased slightly overall.
Discussion: Integrated care in Korea helped older adults feel more satisfied with their lives and alleviated their feelings of isolation by enabling them to live in their own homes and communities rather than in nursing hospitals or facilities. This study is the first to evaluate the achievements of an integrated care conducted in Korea in terms of older adults' quality of life and social relationships, and this can serve as the basis for developing integrated care in the future.
In-Situ Compressive Strength Assessment using CAPO-Test: A Study on Brick Chips based Concrete
Authors: Nasrin Umme Suraya , Khair Abul , Ahsan Raquib 
Published: January 2024

Abstract
This study presents the findings of an extensive investigation to evaluate the precision and reliability of a non-destructive CAPO test in estimating the in situ compressive strength of concrete made from machine-crushed brick aggregates. To estimate the compressive strength of concrete built from brick and stone aggregates for several target strengths at various ages, the CAPO test, core test, and standard cylinder test were used. The results of the core test and cylinder test are correlated with the CAPO pullout force, demonstrating a strong relationship between pullout force and compressive strength. The results suggest that the CAPO test displays estimated strengths ranging from 5–17% of the cylinder strength and 0–6% of the core strength for concrete containing brick chips. The study validates the CAPO test's reliability in conducting in-situ concrete strength assessments.
Bayesian Approach to Improve Consistency of the Individual Pairwise Comparison Matrices
Authors: Hinc Tomasz , Kliber Agata 
Published: January 2024

Abstract
This research addresses the problem of multi-criteria decision-making, using an analytical hierarchy process (further: AHP). In such a process, individuals present their preferences in the form of pair-wise comparison matrices (further: PCM). The goal of the AHP is to extract the ordered priority vector from such PCMs. The quality of the extracted priority vectors depends on the consistency of individual matrices. In the article, we propose a new approach to improve the consistency of the individual PCM. Using a Bayesian approach, we extend the work of Lin and Kou (2015). Instead of a univariate normal model with conjugate priors, as a first alternative, we apply more flexible non-conjugate priors. In the next two approaches, we use matrix normal distributions, relaxing the assumption of non-correlated error terms resulting from the imprecision of the judgements. We run the same experiment as Lin and Kou (2015) and compare the consistency of the obtained matrices with the results of the original paper. In each case, the consistency is higher (according to consistency ratio and Euclidian distance), while the ordering of preferences remains unchanged.
Effect of cylindrical micro-pit texture on the performance of misaligned radial journal bearing
Authors: Li Jianqiang , He Zhenpeng , Wang Yubo , Qian Junze 
Published: January 2024

Abstract
In order to study the influence of the circumferential distribution position, axial proportion, depth, inclined angle and area rate of cylindrical micro-pit texture on the lubrication and tribological performance of misaligned radial journal bearing, the mathematical model of friction lubrication of journal bearing is established based on the Reynolds equation, and the oil film pressure under the influence of different micro-pit texture parameters is solved iteratively by finite difference method, and the bearing load carrying capacity, friction force and end leakage of bearing under different texture parameters are calculated. The results are as follows: the bearing load carrying capacity is higher when the cylindrical micro-pit texture is distributed in the boost area and the axial ratio is around 55%; compared with smooth bearing, fully textured bearing and bucking zone micro-pit texture bearing, the coefficient of friction of journal bearing of the micro-pit texture in the boost area journal bearing is lower, and there exists an optimal axial proportion and depth of texture, which make the best friction and lubrication performance of the journal bearing; the micro-pit texture has the dual possibility of weakening and enhancing the bearing load carrying capacity, and the existence of the optimal circumferential and axial ratio, depth and inclined angle of the micro-pit texture make the bearing have higher load carrying capacity with less friction coefficient; the area ratio of cylindrical micro-pit texture is linearly correlated with bearing capacity and friction force; the smaller the degree of misalignment of the bearing, the more beneficial it is to improve the friction and lubrication performance of the bearing when machining suitable parameters of micro texture on the smooth bearing surface.
Extracorporeal cardiopulmonary resuscitation for patients with out-of-hospital cardiac arrest: A propensity score matching, observational study
Authors: Shih Hong-Mo , Lin Wei-Jun , Lin You-Cian , Chang Shih-Sheng , Chang Kuan-Cheng , Yu Shao-Hua 
Published: January 2024

Abstract

Extracorporeal cardiopulmonary resuscitation (ECPR) is increasingly performed as an adjunct to conventional cardiopulmonary resuscitation (CCPR) for out-of-hospital cardiac arrest (OHCA). However, the specific benefits of ECPR concerning survival with favorable neurological outcomes remain uncertain. This study aimed to investigate the comparative advantages of ECPR over CCPR in the management of OHCA. We conducted a retrospective cohort study as a single center involved OHCA patients between January 2016 and May 2021. Patients were categorized into ECPR or CCPR groups. The primary endpoint assessed was survival with favorable neurological outcomes, and the secondary outcome was survival rate. Multivariate logistic regression analyses, with and without 1:4 propensity score matching (PSM), were employed to assess ECPR’s effect. In total, 1792 patients were included: 111 underwent ECPR, and 1681 received CCPR. Compared to the CCPR group, the ECPR group exhibited notably higher rates of sustained return of spontaneous circulation (ROSC) (93.7% vs. 27.7%; p < 0.001), survival to discharge (38.7% vs. 13.9%; p < 0.001), and survival with favorable neurological outcome (22.5% vs. 6.0%; p < 0.001). Multivariate logistic regression analysis demonstrated that ECPR correlated with increased odds of survival with favorable neurological outcome (adjusted odds ratio: 1.79; 95% confidence interval (CI): 1.03–3.11; p < 0.037). Following PSM, the ECPR group showed significantly elevated odds of survival with favorable neurological outcomes (adjusted odds ratio: 2.22; 95% CI: 1.20–4.11; p = 0.010). This study demonstrated that in comparison to CCPR, ECPR may improve survival rates and odds of favorable neurological outcomes in OHCA patients.
Real-Time Three-Dimensional Transesophageal Echocardiography Outperforms Three-Dimensional Printing in Detecting Multiple Perivalvular Leaks after Mitral Valve Replacement：A Case Report and Literature Review
Authors: Wang Zhirong , Wan Qiuxian , Fan Chengming , Ai Qi , You Hong , Wu Qin 
Published: January 2024

Abstract

To report on a patient who developed multiple perivalvular leaks (PVLs) after a mechanical mitral valve replacement, and how clinicians successfully used real-time three-dimensional transesophageal echocardiography combined with 3D printing to complete transapical perivalvular closure. Additionally, we reviewed the literature to explore the advantages and disadvantages of multimodal imaging for perivalvular leaks.The case is a 63-year-old female patient with a history of rheumatic heart disease underwent mitral mechanical valve replacement, tricuspid valvuloplasty, and left atrial folding four years ago. She presented with shortness of breath and TTE revealed two PVLs. Real-time 3D TEE combined with 3D printing technology was used to create a 3D model of the patient's heart, which allowed for precise identification of the PVLs. The transapical occlusion was successfully performed under the guidance of 3D TEE.The patient also showed good recovery during postoperative follow-up.The combination of 3D ultrasound and color mapping is advantageous in identifying and describing multiple PVLs. The use of 3D TEE combined with 3D printing technology provides a "double protection" in closure of PVLs, allowing for more accurate and precise placement of closure devices. Multimodal imaging plays a critical role in the management of PVLs, providing clinicians with essential information for successful treatment.
Jnk1 and Downstream Signalling Hubs Regulate Anxiety-like Behaviours in a Zebrafish Larvae Phenotypic Screen
Authors: Hong Ye , Sourander Christel , Hackl Benjamin , Patton Jedidiah , John Jismi , Paatero Ilkka , Coffey Eleanor 
Published: January 2024

Abstract

Current treatments for anxiety and depression show limited efficacy in many patients indicating that research into new underlying mechanisms is needed. Inhibition of JNK1 has been shown to evoke an anxiolytic-and antidepressant-like phenotype in mice however the downstream effectors that elicit these behavioural effects are unknown. Here we employ a zebrafish (D. Rerio) larvae behavioural assay to identify an antidepressant-/anxiolytic-like phenotype based on 2759 measured stereotypic responses to clinically proven antidepressant and anxiolytic (AA) drugs. Employing machine learning, we classify an AA phenotype from behavioural features measured during and after a startle battery in fish exposed to AA drugs (fluoxetine, imipramine, diazepam, lithium chloride, ketamine). We demonstrate that structurally independent JNK inhibitors replicate the AA classification with high accuracy, consistent with findings in mice. We go on to identify signalling hubs downstream from JNK1 by comparing phosphoproteome data from wildtype and Jnk1-/- mouse brains, and test these hubs as possible mediators of the AA phenotype in zebrafish larvae. Among these, we find that AKT, GSK-3, 14-3-3ζ/ε and PKCε, when pharmacologically targeted, phenocopy clinically proven AA drugs. This assay shows promise as an early phase screening for compounds with anti-stress-axis/anxiolytic-like properties, and for mode of action analysis.