bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and implement of the automatic wetland waterfowl identification system based on YOLOv5 algorithm
Authors: Wang Dehui , Que Xiang , Liu Jinfu , Chen Ruohai , Li Yimin , Zhang Yingqian 
Published: September 2022

Abstract
Because waterfowl are sensitive to the environment, the abundance and quantity of waterfowl species are often used to evaluate the ecological status of wetlands. Traditional methods of detecting waterfowl are not only time-consuming but also inaccurate. Some investigations may even be at risk. To solve these problems, we designed an intelligent waterfowl auto monitoring system for supporting the detections of native waterfowl which can reduce unnecessary and unsafe investigations. To implement the framework, we utilized a Model-View-Viewmodel (MVVM) and deployed a waterfowl identification model (WIM) of YOLOv5 at a back-end for real-time detecting the species of waterfowl and counting their numbers for different time intervals. It is integrated into a GIS-based platform, which is helpful for analyzing the spatial distributions and variation laws of different species of waterfowl. To manage the related geospatial data, we used the PostgreSQL database and designed the corresponding APIs. In addition, we implemented a tool for uploading and labeling images online which can be used to retrain recognition models on the backend. In our current system, the image database plays a vital role in building recognition models. The image database can be set to auto-update, which means that once the users upload images on the front-end, the pre-trained WIM on the back-end will be updated automatically. Results show that our system performs well although it is still in the testing phase. It meets the basic requirements of detecting the native wetland waterfowl species, and help summarizing the maximum observed number of different species over a certain period of time. The rate of identifying waterfowl exceeds 80% and the recall rate exceeds 90%. These can support some in-depth analysis and decision-making for the managers of wetland reserve.
A Heuristics approach based hybrid method for Feature Selection for Ranking using Machine Learning with Learning to Rank
Authors: Chavhan Sushilkumar , Dharmik R. C. 
Published: September 2022

Abstract
Learning-to-Rank is a trending area for research for a variety of applications. Learning-to-Rank is Machine Learning based information Retrieval. Many Algorithms were proposed to handle the problems spe- cially features oriented with Learning-to-Rank. Objective behind this research is to provide the alternative framework for selection of features. The proposed framework makes the use of heuristics approach for objects retrieval using learning-to-rank with L2 regularization. In this research, we collect a new subset of active subset in each iteration of heuristics approach where we used the Simulated Annealing for features collection. For optimization L2 regularization is used to handle the dropout of the active feature. Unlike, other features frameworks, we do not added rather maintained new specified list for new iteration. In each iteration, new sub- set of feature were accepted and replace with discreet features there by tried to minimize the computation time of query processing time with this framework. The results confirm that it provides a high quality feature list with an existing framework using machine learning techniques only. Mod- ified objective function of existing Lamdamart and heuristics frameworks confirms the competitive performance of the proposed model. Analysis is done on best suggested LTR methods with all evaluation measures.
Changes in Fasting Plasma Glucose and Risk of Mortality Events for Individuals without Diabetes over Two Decades of Follow-up: a Pooled Cohort Analysis
Authors: Kohansal Karim , Masrouri Soroush , Khalili Davood , Ramezankhani Azra , azizi Fereidoun , Blaha Michael J , Hadaegh Farzad 
Published: September 2022

Abstract
Background: To assess the gender-specific impact of 3-year changes in fasting plasma glucose (FPG) status on the risk of all-cause, cardiovascular (CV), and cancer mortality in individuals without type 2 diabetes during an 18-year follow-up.
Methods: The study population included 14,378 participants aged 30-60 years (8272 women) from three population-based cohort studies, including Atherosclerosis Risk in Communities, Multi-Ethnic Study of Atherosclerosis, and Tehran Lipid and Glucose Study. Subjects were classified into six categories based on the approximately three-year changes in FPG status: 1) normal FPG (NFG) to NFG (NFG-NFG, reference category); 2) NFG-impaired fasting glucose (IFG, i.e., 126> FPG ≥100 mg/dl); 3) NFG-type 2 diabetes (T2DM); 4) IFG-NFG; 5) IFG-IFG; 6) IFG- T2DM. Multivariable stratified Cox regression, adjusting for age, body mass index (BMI), BMI-Change, smoking status, hypertension, and hypercholesterolemia, was used to estimate hazard ratios (HRs [95% CI]) for all-cause and cause-specific mortality events. Women-to-men ratios of HRs (RHRs) for each category were also estimated.
Results: During follow-up, 2362 incidences of all-cause mortality were recorded. Among women, all categories of FPG change, excluding IFG-NFG (HR, 95% CI; 1.24 [0.98–1.57], p-value=0.07), were associated with a higher risk of all-cause mortality compared to the NFG-NFG category. Moreover, women in IFG-T2DM (2.21 [1.42–3.44]) group were at increased risk for CV mortality. We also found that women in NFG-IFG (1.52 [1.20–1.91]), NFG-T2DM (2.90 [1.52–5.51]), and IFG-IFG (1.30 [1.02–1.66]) categories had a higher risk for cancer mortality. However, among men, a higher risk of all-cause mortality was found for only two groups of NFG-T2DM (1.78 [1.15–2.74]) and IFG-T2DM (1.34 [1.04–1.72]). Women with IFG-IFG had a 24% higher risk for all-cause mortality events than their men counterparts with the same condition (RHR; 1.24 [1.01–1.54]).
Conclusion: In women, the IFG status, whether as incident, persistent, or converted to T2DM, had a higher risk for mortality events; however, among men, only conversion to T2DM conferred an excess risk of all-cause mortality.
Spontaneous, persistent T-cell dependent IFN-γ release in patients who progress to Long COVID
Authors: Krishna Benjamin A. , Lim Eleanor Y. , Mactavous Lenette , Jackson Sarah , Team NIHR BioResource , Lyons Paul A. , Doffinger Rainer , Bradley John R. , Smith Kenneth G. C. , Sinclair John , Matheson Nicholas J. , Lehner Paul J. , Sithole Nyaradzai , Wills Mark R. 
Published: September 2022

Abstract
After acute infection with Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), a significant proportion (0.2–30%) of patients experience persistent symptoms beyond 12 weeks, termed Long COVID. Understanding the mechanisms which cause this debilitating disease and identifying biomarkers for diagnostic, therapeutic and monitoring purposes is urgently required. Persistently high levels of IFN-γ were detected from peripheral blood mononuclear cells (PBMCs) of Long COVID patients using highly sensitive FluoroSpot assays. This IFN-γ release was seen in the absence of ex vivo peptide stimulation and remains persistently elevated in Long Covid patients, unlike the resolution seen in patients recovering from acute SARS-CoV-2 infection. IFN-γ release was CD8+ T cell mediated and dependent on MHC-I antigen presentation by CD14+ cells. After vaccination, a significant decrease in IFN-γ correlated with resolution of some Long COVID symptoms. Our study highlights a key mechanism underlying Long COVID, enabling the search for biomarkers and therapeutics in patients with Long COVID.
Stochastic-based approach to quantify the uncertainty of groundwater vulnerability
Authors: Ni Chuen-Fa , Vu Tien-Duc , Li Wei-Ci , Tran Minh-Tuan , Bui Van-Cuong , Truong Minh-Hoang 
Published: September 2022

Abstract
The study proposes a stochastic approach to quantify the uncertainty of groundwater vulnerability (GV) produced by classical index-overlay methods. In the analysis, the physical-based MODFLOW model has been integrated with the DRASTIC method and modified by the analytical hierarchy process (AHP) technique. Specifically, the flow fields from the MODFLOW model provide the parameters of depth to water and the associated hydraulic conductivity (K) for the DRASTIC method. The integrated loops between the MODFLOW and DRASTIC models enable the evaluations of GV maps by considering sources of uncertainty in geological parameters and stress changes in an aquifer system. In illustrating the approach for practical implementations, the study considers the uncertainty produced by the heterogeneity of K in the Pingtung Plain groundwater basin in southern Taiwan. Different degrees of K heterogeneity were assessed to quantify the impact of the K heterogeneity on the GV mappings. Results show that quantification of parameter uncertainty from the GW model can improve the accuracy and reliability of the GV map. The stochastic GV maps have accounted for the source of the K uncertainty. There are significant discrepancies in GV values in the spatial distribution and intensity in all GV classes. The results clarify the potential risk of groundwater contaminations in the Pingtung Plain groundwater basin.
A method that can measure the delivered patient dose in Total Marrow Lymphoid Irradiation IMRT treatment based on kilovolt fan-beam CT-linac
Authors: Jiang Dazhen , Deng Di , Xiong Yu , Wang Dajiang , Gong Jian , Zhao Hongli , Bao Zhirong , Wei Yongchang , Xie Conghua , Jia Lecheng , Liao Can , Liu Shuo , Liu Hui , Wang Xiaoyong 
Published: September 2022

Abstract
Background: A novel CT-linac (kilovolt fan-beam CT-linac) has been introduced into total marrow and lymphoid irradiation (TMLI) treatment. Its integrated kilovolt fan-beam CT scanner enables accurate evaluation of the dose distribution difference between plan and delivery, which is crucial for the TMLI treatment improvement for the future.
Purpose: This study evaluated the technical feasibility of kilovolt fan-beam CT-linacfor TMLI treatment and investigated the true dose distribution of the delivery.
Methods: 11 sets of data from 5 male and 6 female patients who had underwent the TMLI treatment with uRT-linac 506c were selected for this study. The planning target volumes consist of all skeletal bones exclusion of the mandible and lymphatic sanctuary sites. A planned dose of 10Gy was prescribed to all skeletal bones exclusion of the mandible in two fractions and 12Gy in two fractions was prescribed to lymphatic sanctuary sites. Each TMLI plan contained two sub-plans, one dynamic IMRT for the upper body and the other VMAT for the lower extremity. Two attempts were made to obtain homogeneous dose in the overlapping region, i.e., applying two plans with different isocenters for the treatment of two fractions, and using a dose gradient matching scheme. The CT scans, including planning CT and fan-beam CT (obtained during image-guided radiation therapy) were stitched to a whole body CT scan for dose distribution evaluation.
Results: Firstly, the kilovolt fan-beam CT-linac can provide the adequate target dose coverage (90% for planning and delivery) and critical organ sparing that satisfied the clinical requirements. Secondly, the beam-on time of kilovolt fan-beam CT-linac is apparently shorter than helical tomotherapy for the TMLI treatment. Thirdly, there exists the dose distribution difference of PTVs between plan and delivery (p<0.05, Wilcoxon signed-rank test), but the PTV coverage of delivery is clinically acceptable (larger than 90%). There is no significant difference (p>0.05) between the dose distribution of the plan and delivery for most organs at risk, except for right len. Fourthly, for the treatment delivery, applying two plans with different isocenters for one patient in two fractions performed better than employing only one plan for one patient in two fractions on PTV coverage for PTVbone, maximum dose for small bowel, heart, and liver.
Conclusion: This radiation therapy treatment planning has proved to be effective. This research first exhibited that the dose difference between planning and delivery was evaluated, which is important for treatment evaluation and plan improvement for the future studies.
Synergistic repellent and irritant effects of a binary mixture of β-caryophyllene oxide and vetiver oil against mosquito vectors
Authors: Nararak Jirod , Sanguanpong Unchalee , Sukkanon Chutipong , Manguin Sylvie , Chareonviriyaphap Theeraphap 
Published: September 2022

Abstract
Mosquito repellents play a major role in reducing the risk of mosquito borne diseases by preventing mosquito bites. The present study evaluated the mosquito-repellent activity of β-caryophyllene oxide 1% (BCO), vetiver oil 2.5% (VO) and their binary mixtures [BCO+VO (1:1), BCO+VO (2:1), BCO+VO (1:2)] against four laboratory-colonized mosquito species: Aedes aegypti (L.), Aedes albopictus (Skuse), Anopheles minimus (Theobald), and Culex quinquefasciatus Say using an excito-repellency assay system. In general, the compound mixtures produced a much stronger response by the mosquitoes than single compounds, regardless of the test conditions and species. The greatest synergetic effect was achieved for the combination of BCO+VO (1:2) in both the contact and non-contact trials with An. minimus (74.07–78.18%) and Cx. quinquefasciatus (55.36–83.64%). Knockdown responses to the binary mixture of BCO+VO were observed for Ae. albopictus, An. minimus and Cx. quinquefasciatus, in the range 18.18–33.33%. The synergistic repellent activity of BCO and VO used in the study may support increased opportunities to develop safer alternatives to synthetic repellents for personal protection against mosquitoes.
An exotic 3-center/4-electron carbon-carbon pi long-bond: Is it tangible?
Authors: Singh Narinder , . Vikas 
Published: September 2022

Abstract
Centrosymmetric species with AB2 boding motif where central atom (A) is relatively more electronegative than the end ligands (B atoms) have been predicted to exhibit an unusual form of three-center/four-electron (3c/4e) long-bonding where bonding/antibonding interactions occur between the two end ligands (B-B) bypassing the central atom albeit via sharing the latter’s lone pair. Such a long-bond of sigma- and pi-type, has so far been predicted as single bonds, and mainly as linear (B-A-B) bonding motifs. This work, through computations based on density-functional theory (DFT) and natural bond orbital (NBO) analysis, reveals pi-type long-bonding between carbon atoms separated by more than 2 angstroms in the gas phase chain species, namely, CnX (X = O,N; n = 2,4,6,8). Notably, this work, through DFT and NBO analysis, not only successfully predicts pi-type long-bonding in linear and non-linear CnX species (mainly those where X is the central atom) but is also able to reveal multiple pi long-bonds particularly in the triplet-C2O as well as a pi long-bond in an isomer of C8N where N is not the central atom. However, preliminary computations using complete active space self-consistent field (CASSCF) multi-reference method performed in this work could only confirm antibonding pi long-bond orbital whereas the validity of bonding pi long-bond orbital of the proposed long-bond could not be ascertained through the CASSCF.
Clinical and Economic Burden Associated with Graft-Versus-Host Disease Following Allogeneic Hematopoietic Cell Transplantation in France
Authors: Thiruvillakkat Kris , Michonneau David , Quignot Nadia , Jiang Heng , Reichenbach Dawn , Kelly Maebh , Burrell Anita , Zhang Xiang , Mohty Mohamad 
Published: September 2022

AbstractThe real-world clinical and economic burden of graft-versus-host disease (GVHD) following allogeneic hematopoietic stem cell transplantation has not been comprehensively studied in France. Clinical outcomes, healthcare resource utilization and costs associated with acute GVHD (aGVHD), chronic GVHD (cGVHD), acute plus chronic GVHD (a + cGVHD) versus no GVHD were compared using French administrative claims data. After propensity score matching, 1 934, 408, and 1 268 matched pairs were retained for the aGVHD, cGVHD, and a + cGVHD cohorts, respectively. Compared with patients with no GVHD, odds of developing severe infection was greater in patients with aGVHD (odds ratio (OR): 1.7, [95% confidence interval: 1.4, 2.1]). Compared with patients with no GVHD, mortality rates were higher in patients with aGVHD (rate ratio (RR): 1.6 [1.4, 1.7]) and in patients with a + cGVHD (RR: 1.1 [1.0, 1.2]) but similar in patients with cGVHD (RR: 0.9 [0.7, 1.1]). Mean overnight hospital admission rates per patient-year were significantly higher in patients with aGVHD and a + cGVHD compared with no GHVD. Total direct costs were 1.2, 1.5, and 1.9 times higher for patients with aGVHD, cGVHD, and a + cGVHD, respectively, versus patients with no GVHD. These results highlight the significant unmet need for effective treatments of patients who experience GVHD.
The Computer, A Choreographer? Aesthetic Responses to Computer-Generated Dance Choreography
Authors: Darda Kohinoor M. , Cross Emily S. 
Published: September 2022

Abstract
Is artificial intelligence (AI) changing our culture or creating its own? With advancements in AI and machine learning, artistic creativity is moving to a brave new world of possibility and complexity, while at the same time posing challenging questions, such as what defines something as art, what is the role of human creativity in an automated world, and do we evaluate artificial art in the same way as art made by humans? Across two pre-registered and statistically powered experiments we shed light on the nature of aesthetic responses toward computer-generated art by investigating observer prejudices against computer-generated dance choreography, and the impact of expertise and pre-conceived beliefs about the origin of artistic creation. Our results provide substantive evidence that an explicit bias exists among dance experts against computer-generated choreography, and the mere belief about a dance work’s origin biases aesthetic responses toward artworks among both dance experts and dance naïve participants. The implications of the current study serve to inform several disciplines across the arts and sciences including but not limited to empirical aesthetics, artificial intelligence, engineering, robotics, and social cognition and neuroscience. Along with physical form and content of artificial agents and art productions, the viewers’ knowledge and attitudes toward artistic AI and artificial agents will need to be taken into consideration for effective human-computer/human-AI interactions.
Analysis of the dynamics of the resonant planetary system HD 45364
Authors: MIA RAJIB , Paul Arjun Kumar 
Published: September 2022

Abstract
The aim of this work is to analyse the orbital dynamics and stability of exoplanetary system in which two planets are in nearly 3:2 MMR. We have taken HD 45364 system for our study in which two planets are most likely in a 3:2 MMR. We have plotted two resonant angles and the relative apsidal longitudes and it is observed that they are librating around a constant value. From this observation our opinion is that there exist nearly 3:2 MMR between HD 45364b and HD 45364c. The perturbative solution is obtained for the time variation of the semi-major axes. The short and long term variations of semimajor axes are studied. For the validation of our analytical results we have compared our analytical solutions with the numerical solutions. The effect of planetary perturbations on eccentricity is studied with the help of secular resonance dynamics theory. The short and long term variations of eccentricities of HD 45364b and HD 45364c are shown graphically. Moreover, using the latest stability criteria, we have studied the dynamical stability of HD 45364 system.
Investigations on the Dual-Core Photonic Crystal Fiber Sensor Based on Surface Plasmon Resonance with Two Segmented Tantalum Film Coating
Authors: Vayghan Nader Sobhkhiz 
Published: September 2022

Abstract
In this paper, a dual-core D-shaped photonic crystal fiber (PCF) based surface plasmon resonance (SPR) refractive index sensor coated by tantalum in two segments has been designed and studied. The sensing performance of the proposed sensor in the visible to near infrared (800–1300 nm) region for detecting low refractive index analytes is numerically investigated. The finite element method (FEM) is used to design and study the influence of different structure parameters by the optical loss spectrum on the sensing performance of the sensor. The chemically stable plasmonic material tantalum (Ta) is used to produce excitation between the core and plasmonic modes. On a pure silica (SiO2) substrate, a rectangular structured dual core is used to facilitate the coupling strength between the cores and the surface plasmon polariton (SPP) mode and thus improves the sensing performance. By tuning the geometric parameters, simulation results show a maximum wavelength sensitivity of 10400 nm/RIU (Refractive Index Unit) for analyte refractive indices ranging from 1.25 to 1.39. The sensor also attains a maximum figure of merit (FOM) of 35.25 /RIU and fine refractive index resolution of 9.615 × 10 −6 RIU. Owing to Ta chemical stability, low cost, simple structure, high sensitivity, relatively high FOM and improved sensing resolution, the proposed sensor is suited for real-time, inexpensive and accurate detection of biomedical and biological analytes, bimolecular, and hazardous corrosive gases.
Microbial antagonism against phytopathogenic Botrytis cinerea in highbush blueberry (Vaccinium corymbosum L.) cultivars. Contribution of leaf-associated microorganisms from native Andean Ericaceae
Authors: Sanhueza Tedy , Herrera Héctor , Arriagada Cesar 
Published: September 2022

Abstract

Leaf-associated microorganisms are the least studied symbiotic microbes in Ericaceous plants and they represent a novel and interesting source of microbial strains for exploring their biocontrol potential against phytopathogenic fungi. In this study, the diversity of leaf-associated microorganisms of the native Andean ericaceous plants Gaultheria pumila and Empetrum rubrum were screened to identify and characterize microorganisms with biocontrol capability against the phytopathogenic fungus Botrytis cinerea affecting Vaccinium corymbosum (highbush blueberry) cultivars. Microbial strains with biocontrol potential against Botrytis cinerea were selected, and in vivo tests were performed to evaluate the biocontrol activity of the selected strains. Four fungal, four yeast, and five bacterial strains were isolated, including the fungi Epicoccum nigrum (strains HFE11 and HFG20), Epicoccum layuense (strain HFG13), and Aspergillus sp. (strain HFG1), the yeasts Aureobasidium pullulans (strains BFG22 and BFG24) Sporobolomyces roseus (strains BFE10 and BFE11), and the bacteria Bacillus mycoides (strains BFE4 and BFE14), Bacillus sp. (strains BFG8), Pseudomonas fluorescens (strains BFE6), and Pseudomonas sp. (strains BFG21). In vitro biocontrol activity of the selected strains (BFE14, BFE6, and HFG13) showed inhibition percentages ranging from 60% to 80. The screening of plant growth-promoting traits detected phosphate solubilization, indole acetic acid production, and ammonium production in most of the isolates. The in vivo experiments showed that the inoculation of the isolates BFG22, BFE6, and HFG13 on V. corymbosum leaves before infection avoids severe damage to the infected tissues. Additionally, inoculation with BFG22 decreases the lipid peroxidation levels (malondialdehyde 36% lower) when the leaves were infected with B. cinerea. Our results provide evidence of beneficial traits of microorganisms inhabiting the phyllosphere of native Andean Ericaceae which can be used as microbial inoculants in agricultural production. These beneficial effects enhance plant growth and avoid damage by B. cinerea in V. corymbosum cultivars.