bluuebunny/crossref_metadata_2025_split huggingface dataset:
Responses in honeybee and bumblebee activity to changes in weather conditions
Authors: Karbassioon Arrian , Yearsley Jon , Dirilgen Tara , Hodge Simon , Stout Jane , Stanley Dara 
Published: September 2022

Abstract

Insect pollination by both managed and unmanaged bees is a highly valued ecosystem service that ensures plant reproduction and the production of high-quality crops. Bee activity is known to be influenced by the weather, and as the global climate continues to change, the flying frequency and foraging behaviour of bees may also change. To maximize the benefits of pollination in a changing world we must first understand how current weather conditions influence the activity of both unmanaged and managed bees. This is of particular interest in a country such as Ireland where inclement weather conditions are nominally sub-optimal for foraging. We observed honeybee (Apis mellifera; largely managed) and buff-tailed bumblebee (Bombus terrestris; largely unmanaged) colonies across a variety of weather conditions within seven apple orchards to determine how four weather variables (temperature, relative humidity, solar radiation, wind) influence the flight activity of each species. Our results indicate bumblebees could compensate for low honeybee activity in inclement conditions, which supports the theory that pollinator diversity provides resilience. This may be particularly important in management of pollinators in crops that flower in the spring when weather is more variable. We found pollen-foraging individuals in both species increase with temperature, but this rate decreases with humidity. On the whole honeybees are more sensitive to changes in weather than bumblebees and could be more predisposed to changes in future within-day weather conditions.
Effects of land use and topographic characteristics on seasonality water quality at multi-spatial scales: a case study of Weihe River Basin
Authors: Yan Zixuan , Li Peng , Li Zhanbin , Xu Yaotao , Zhao Chenxu , Cui Zhiwei 
Published: September 2022

Abstract
To explore the relationship between land use and basin water quality can effectively contribute to the protection of the latter at the landscape level. This research concentrates on the Weihe River Basin (WRB), a multi spatial scale correlation model was established in the WRB for both dry and wet seasons based on multiple linear regression analysis (MLR). A quantitative analysis of relationship between land use structure and basin water quality at the sub-basin, riparian zone, and river scales. The slopes were selected as the topographic characteristics to further, to explore the complex relationship between land use structure and topographic characteristics. By analyzing samples collected at 40 sites, it was shown that the correlation between water quality variables and different land use patterns was higher in the dry season than in the wet season, and that the land use at the riparian zone scale explained the overall water quality variations better than that at the sub-basin and river scales. Compared with other land uses, agricultural and urban lands had a better relationship with water quality, which was most affected by land use area and morphological indicators. In addition, the greater the area and aggregation of forest land and grassland, the better the water quality; while urban land presented larger areas with poorer water quality. The influence of steeper slopes on water quality was more remarkable than that of plains at the sub-basin scale, while the impact of flatter areas was greater at the riparian zone scale. The present study makes a number of recommendations related to the adoption of water quality protection and construction planning in the WRB.
Crude oil induces plant growth and antioxidant production in Leersia hexandra Sw. A hydrophytic grass that rhizodegrades oil in Tabasco, Mexico.
Authors: Orocio-Carrillo José Alberto , Rivera-Cruz Maria del Carmen , Juárez-Maldonado Antonio , Bautista-Muñoz Consuelo del Carmen , Trujillo-Narcía Antonio , González-García Yolanda , Cárdenas-Villegas Said 
Published: September 2022

Abstract

This study evaluated the survival of the grass Leersia hexandra (Lh) to the stress caused by crude oil (CO), by means of synthesis of reactive oxygen species, antioxidants in leaf-root, and by the rhizospheric bacterial activity of Lh. The experiment was carried out for 180 days, a 4x2 factorial arrangement was applied, four concentrations of CO and two technologies [phytoremediation (PH) with Lh and natural attenuation (NA) with native microorganisms]. The results recorded treatment means with statistical differences (Duncan p ≤ 0.05). Concentrations of 90 g/kg stimulated the formation of young plants (YP) and grass root. In YP leaves, the biosynthesis of H2O2, total phenols (TP) and total flavonoids (TFV) increased due to the effect of CO, as did catalase (CAT) and phenylalanine ammonia lyase (PAL) in roots. Grass roots with low H2O2 synthesis but high synthesis of CAT and PAL are a signal of tolerance to abiotic stress. Rhizosphere of Lh stimulated microbial activity and the population of Azotobacter spp but removal 22% de 90 g/kg the CO, and AN 58%. The results suggest adaptation of Lh to the stress caused by soil contaminated with oil, manifested by regulating the synthesis of H2O2 and antioxidants in leaf-root during the removal of hydrocarbons from oil.
An Assessment of Flash Flood Vulnerable Zones Using Integrated Grey Fuzzy Analytic Hierarchy Process-based Model for a Himalayan Watershed
Authors: roy dibyandu , Dhar Anirban , Desai Venkappayya R 
Published: September 2022

Abstract
Flash flood is the most recurrent natural threat in the northeastern part of India, especially during the peak of the monsoon season. Considering the exponential rise in the frequency of flash flood events, identifying the Flash Flood Vulnerable Zones (FFVZs) is one of the most crucial findings to limit their negative consequences. In this study, Grey Fuzzy Analytic Hierarchy Process (GFAHP) based model integrated with the Geographic Information System (GIS) is implemented to assess the flash flood vulnerability in the Ranikhola watershed, East Sikkim, India. The GFAHP combines the benefits of all the traditional Multi-Criteria Decision-Making (MCDM) approaches. The Fuzzy Analytic Hierarchy Process (FAHP) is used to compute the weights, while the weight coefficients are evaluated using the Grey method. A novel Flash Flood Vulnerability Index (FFVI) is proposed to assess the flash flood vulnerability that takes into account twelve natural and anthropogenic parameters. Further, the FFVI map is classified into three FFVZs: low, moderate, and high. The efficacy of the flash flood vulnerability map is calculated by a single effectiveness value (EV), and the result is between moderate and more significant. The sensitivity analysis results show the influence of individual attributes on FFVI and FFVZs.
The role of antioxidant response and nonphotochemical quenching of chlorophyll fluorescence in long-term adaptation to Cu-induced stress in Chlamydomonas reinhardtii
Authors: Pluciński Bartosz , Nowicka Beatrycze , Waloszek Andrzej , Rutkowska Joanna , Strzałka Kazimierz 
Published: September 2022

AbstractThe aim of present study was to analyse selected aspects of the mechanism of protection of the photosynthetic apparatus and antioxidant activity in response to excessive copper concentrations in wall-less strains ofChlamydomonas reinhardtiinot adapted and adapted for growth in the presence of elevated copper level. The measured parameters were photosynthetic pigment content, prenyllipid antioxidant (α-tocopherol, plastoquinone pool) content, peroxidase activity, and nonphotochemical quenching efficiency. The results obtained suggest that the increased content of tocopherol and plastoquinone, as well as the increased efficiency of nonphotochemical quenching of chlorophyll fluorescence, play a role in the acquisition of tolerance to copper. The role of light in the enhancement of copper toxicity and the role of POX in response to elevated copper have also been shown.
Environmentally driven phenotypic convergence and niche conservatism accompany speciation in hoary bats
Authors: Soto-Centeno J. Angel , Simmons Nancy B. 
Published: September 2022

AbstractSpecies that are geographically widespread may exist across environmentally heterogeneous landscapes that could influence patterns of occupation and phylogeographic structure. Previous studies have suggested that geographic range size should be positively correlated with niche breadth, allowing widespread species to sustain viable populations over diverse environmental gradients. We examined the congruence of phenotypic and phylogenetic divergence with the environmental factors that help maintain species level diversity in the geographically widespread hoary bats (Lasiurus cinereusand relatives) across their distribution. Genetic data were analyzed using multiple phylogenetic and species delimitation methods, and phenotypic data were analyzed using supervised and unsupervised machine learning approaches. Spatial data from environmental, geographic, and topographic features were analyzed in a stepwise multiple regression analysis to determine their role in maintaining phenotypic diversity. Ecological niches of each hoary bat species were examined in environmental space to quantify niche overlap, equivalency, and the magnitude of niche differentiation. Phylogenetic and species delimitation analyses support existence of three geographically structured species of hoary bat, each of which is phenotypically distinct; however, the Hawaiian hoary bat is morphologically more similar to the South American species than to the North American species despite a closer phylogenetic relationship to the latter. Stepwise multiple regression and niche analyses revealed higher environmental similarities between the South American and Hawaiian species. Hoary bats thus exhibit a pattern of phenotypic variation that disagrees with well-supported genetic divergences, instead indicating phenotypic convergence driven by similar environmental features and relatively conserved niches occupied in tropical latitudes.
Circulating microRNAs as specific biomarkers in atrial fibrillation: A meta-analysis
Authors: Junior Antonio Silva Menezes , Ferreira Lara Cristina , Barbosa Laura Júlia Valentim , Silva Daniela Melo e , Saadi Vera Aparecida , Silva Antonio Marcio Teodoro Cordeiro 
Published: September 2022

Abstract
Background
Atrial fibrillation (AF) is the most frequent supraventricular arrhythmia. Although microRNAs (miRNAs) have been associated with AF pathogenesis, standard protocols for quantifying and selecting specific miRNAs for clinical use as biomarkers should be optimized. In this study, we evaluated the clinical application of miRNAs as biomarkers for the prognosis and diagnosis of AF.
Methods
Literature searches were conducted on PubMed, Cochrane Library, and EMBASE. We included prospective or retrospective observational studies that had been published as of 02/14/2022 with the main objective of analyzing the relationship between circulating miRNAs and AF. Data were extracted using the descriptors "Atrial fibrillation AND miRNA," "Atrial fibrillation AND diagnostic AND miRNA," and "Atrial fibrillation AND prognosis AND miRNA," and no filters were applied for period delimitation, type of publication, or language. Studies using samples isolated from blood plasma and TaqMan and RT-qPCR for detecting and quantifying miRNAs were selected, and those that used atrial tissue samples were excluded. We identified 272 articles and excluded 102 duplicated articles. Two authors independently read the titles and abstracts of 170 articles and selected 56 potential articles, 6 of which were selected for final review.
Results
Our analysis revealed a significant association between AF and miR-4798 [OR = 1.90 (95% CI 1.45–2.47)], AF and miRNA-133a [2.77 (2.73–2.82)], AF and miRNA-150 [3.77 (1.50–9.46); I² = 70%], AF and miRNA-21 [2.23 (1.20–4.17); I² = 99%], AF and hsa-miRNA4443 [2.32 (2.20–2.44)], and AF and miR-20a-5p [3.67 (1.42–9.49)]. The association between miRNAs and AF showed an OR of 2.51 [95% CI 1.99–3.16; I² = 99%].
Conclusions
Our meta-analysis demonstrated that circulating miRNAs are potential biomarkers of AF as they exhibit stable expression post-sample collection. In addition to regulating cellular processes, such as proliferation, differentiation, development, and cell death, miRNAs were found to be linked to arrhythmia development.
Modulation of Tumor Microenvironment by Targeting HIF-1α, Enhances the Therapeutic Efficacy of Chemoimmunotherapy in Mice Model of Colon Cancer
Authors: Rostamizadeh Leila , Ramezani Mina , nasab Hannaneh Moniri , Rostamizadeh Kobra , Molavi Ommoleila , Barbadian Behzad , Bahavarnia Seied Rafi , Ramezani Fatemeh 
Published: September 2022

Abstract
purpose
Recently, combination therapies have become a promising approach with hopeful therapeutic outcomes due to their strong antitumor effects. Among them, despite the great success of cancer chemoimmunotherapy, it has not been able to improve the outcome of patients. Immunosuppressive tumor microenvironment (TME) has been known as the main barrier to therapy. It has been assumed that targeting HIF-1α as a reshaping of TME combined with chemoimmunotherapy can capably enhance the antitumor response of therapy.
Methods
We established CT26 mouse models to assess the synergistic effect of genetic silencing of HIF-1α combined with oxaliplatin (OXA) and imiquimod (IMQ) on tumor growth and TME.
Results
We showed that cotreatment of HIF-1α siRNA with OXA + IMQ exhibited a significant delay in tumor growth, which was correlated with high levels of cellular immune-related cytokines. Besides, mice without HIF-1α siRNA treatment exhibited high tumor growth and high levels of immunosuppressive factors, indicating an immunosuppressive phenotype. Briefly, we found that HIF-1α inhibition could synergize with OXA and IMQ to inhibit tumor growth in vivo.
Conclusions
Our data suggest that targeting HIF-1α represents a promising option to augment the antitumor response of chemoimmunotherapy.
Prediction of synchronous distant metastasis of primary pancreatic ductal adenocarcinoma using the radiomics features derived from 18F-FDG PET/MR imaging
Authors: gao jing , Bai Yaya , Miao Fei , Huang Xinyun , Schwaiger Markus , Rominger Axel , Li Biao , Zhu Hui , Lin xiaozhu , Shi Kuangyu 
Published: September 2022

Abstract
Objective
Despite the improved lesion detectability as the outcome of 18F-FDG PET/MR, small distant metastasis of pancreatic ductal adenocarcinoma (PDAC) often remains invisible. Our goal is to explore the potential of the joint radiomics analysis of PET and MRI imaging (PET-MRI) of primary tumors for predicting the risk of distant metastasis in patients with PDAC.
Methods
Nighty one PDAC patients with 18F-FDG PET and MRI imaging before the confirmation or exclusion of SDM were retrospectively investigated. Among them, 66 patients who received 18F-FDG PET/CT and multi-sequence MRI separately were included in the development of the radiomics model (development cohort), and 25 patients scanned with hybrid PET/MR were incorporated for independent verification (external test cohort). A radiomics signature was constructed using the selected PET-MRI radiomics features of primary PDAC tumors. Furthermore, a radiomics nomogram was developed by combining the radiomics signature and clinical indicators assisting in this way in the assessment of patients’ metastasis risk.
Results
In the development cohort, the radiomics nomogram had a better performance in predicting the risk of distant metastasis [area under the curve (AUC): 0.93, sensitivity:87.0%, specificity:85.0%] than this of the clinical model (AUC: 0.70, P < 0.001; sensitivity: 70%, specificity: 65%), as well as of this of the radiomics signature (AUC: 0.89, P > 0.05; sensitivity: 65%, specificity: 100%). For the external test, the radiomics nomogram yielded an AUC of 0.85, a sensitivity of 78.6%, and a specificity of 90.9%, which was comparable to the development (P = 0.34).
Conclusions
The preliminary results confirmed the potential of PET MRI-based radiomics analysis in the robust and effective prediction of the risk of SDM for preoperative PDAC patients. The in-depth analysis of the primary tumor may offer complementary information and provide hints for cancer staging.
High blood neutrophil-lymphocyte ratio associated with short poor outcome in tuberculous meningitis
Authors: Gu Zhihan , Liu Bofu , YU Xiaomin , Cheng Tao , Han Tianyong , Tong Le , Cao Yu 
Published: September 2022

Abstract
Background
It is difficult to predict the short prognosis of tuberculous meningitis (TBM), no study reported the neutrophil lymphocyte ratio(NLR) as a predictor of short prognosis in TBM and the relationship between NLR and the severity of TBM. We hypothesized that NLR is an indicator to reflect independent prognostic significance in patients with TBM and there is a correlation between NLR and the severity of TBM. This study aimed to know the role of the neutrophil lymphocyte ratio as a predictor of 28-mortality and the relationship with the severity of TBM in patients with TBM.
Methods
We retrospectively collected data from patients diagnosed with TBM in the West China Hospital, Sichuan University, from the period between January 1st, 2018 and August 1st, 2019. Multivariable analysis was executed by the logistic regression model to verify the independence of the 28-day mortality, Spearman correlation analysis was performed to discuss correlation about and the severity of TBM.
Results
A total of 231 patients were enrolled. 68 (29.4%) patients were classified as stage I. 142(61.5%) patients were stage II.25(10.8) patients were stage III. 16(6.9%) patients died during the follow-up period of 28 days. By multiple logistic regression analyses, the NLR(OR = 1.066, 95% CI = 1.002–1.133, p = 0.043), peripheral neurological deficit (OR 7.485, 95% CI2.010-27.876, P = 0 .003)and hydrocephalus (OR 11.329, 95% CI 2.395–53.583, P = 0 .002) were associated with the independent risks of 28-day mortality. Spearman correlation analysis showed the severity of TBM was significantly positively correlated with the NLR(r = 0.216, p = 0.01).
Conclusions
NLR, peripheral neurological deficit and hydrocephalus were independent predictors of short prognosis and NLR was significantly positively correlated with the severity of TBM.
Acute Glucose Responses Following Short Bouts of Combined Arm and Leg Cycling
Authors: Agne Alexa , Tracey Marlon , Smith Bryan 
Published: September 2022

Abstract
BACKGROUND
Prolonged and chronic sedentary behavior (SB) contributes to negative health problems including cardiovascular and metabolic diseases. Research has shown that short bouts of exercise throughout the day can minimize the negative cardiovascular and metabolic effects resulting from SB. The purpose of this study was to determine the effects of combined arm and leg cycling (CALC) on glucose metabolism. We hypothesized that short bouts of CALC would decrease the 60-min blood glucose (BG) area under the curve (AUC) and decrease BG at specific time points in a dose-dependent manner, when compared to a control (CON) trial.
METHODS
A repeated measures design was used with participants (n = 30) completing baseline assessments and three experimental trials: CON, a 1-min exercise bout (1M) and a 5-min exercise bout (5M). During the exercise trials, participants performed CALC at a self-selected speed on an Assault™ Air bike. Participants completed a 60-min oral glucose tolerance test (OGTT) immediately postexercise. Moreover, blood was sampled pre-exercise and every 15-min post-exercise. The CON trial followed the same experimental procedure; however, participants did not engage in any exercise. The analyses were a one-way repeated measures MANOVA to identify differences in BG at the individual time points between the trials and a two-way mixed ANOVA to identify differences in the AUC during the 60-min OGTT between trials by gender.
RESULTS
There were significant differences in the BG values when comparing the 5M and CON at 0-min (p = 0.034), 15-min (p < 0.001) and 30-min (p < 0.001) and when the 1M bout is compared to CON at 30-min (p = 0.017). The 5M and 1M bouts were significantly different at 0-min only (p = 0.045). There were also significant differences in the total area under the curve (tAUC) between CON and the 5M bout (p = 0.001). There were no significant differences in incremental area under the curve (iAUC) between the three trials.
CONCLUSION
Short bouts of CALC significantly reduced BG values up to 30-min post-exercise and reduced the tAUC, compared to performing no exercise at all. This mode and duration of exercise may aid healthy, able-bodied individuals in achieving benefits to glucose metabolism.
A model to predict delivery time by induction of labour at term with a dinoprostone vaginal insert：A retrospective study
Authors: Huang Fenghua , Chen Huijun , Wu Xuechun , Li Jiafu , Guo Juanjuan , Zhang Xiaoqin , Qiao Yuan 
Published: September 2022

Abstract
Background: Dinoprostone vaginal insert is the most common pharmacological method of induction of labour for pregnant women. Few studies have predicted the vaginal delivery time (DT), our study aimed to analyse the primary factors for DT among women at or beyond term who underwent labour induction with dinoprostone vaginal inserts in the middle of China.
Methods: In this retrospective observational study performed in the obstetric ward in Zhongnan Hospital of Wuhan University, we ultimately included all women at37 weeks 0 days to 41 weeks 6 days of gestation who underwent labour induction with vaginal dinoprostone between January 1st, 2019, and December 31st, 2021. The primary outcome was vaginal or caesarean delivery; the principal secondary outcome was influence for DT including several maternal complications and neonatal characteristics.
Results: A total of 1,562 women at or beyond term underwent labour induction, and 71% (1109/1562) delivered vaginally. The median delivery time (DT) was 740.50 min, with an interquartile range from 443.25 to 1264.50 min. A total of 29% (453/1562) of the women gave birth by caesarean section, and 11.9% (54/453) were multiparous. Multiple linear regression analysis showed that multiparity, advanced maternal age, foetal macrosomia, premature rupture of membranes (PROM), and having dinoprostone inserted during the day all significantly influenced DT. A mathematical model was developed to integrate these factors for predicting DT: Y=804.478–125.284 × multiparity + 765.637 × advanced maternal age + 411.511 × foetalmacrosomia-593.358 × dinoprostone inserted during the day - 125.284×PROM.
Conclusions: The DT with dinoprostone vaginal inserts was increased in women with advanced maternal age and foetal macrosomia, but decreased in multiparity, PROM, and dinoprostone inserted during the day.This study allows obstetricians to calculate a preliminary DT for pregnant women before placing a dinoprostone insert, which may be helpful to improve the management of patients and reduce the risk in busy maternity wards.