bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic differentiation in functional traits among wild cherry (Prunus avium L.) half-sib lines
Authors: Stojnić Srđan , Kovačević Branislav , Kebert Marko , Vasić Verica , Vuksanović Vanja , Trudić Branislav , Orlović Saša 
Published: September 2021

AbstractUnderstanding intra-specific variation in leaf functional traits is one of the key requirements for the evaluation of species adaptive capacity to ongoing climate change, as well as for designing long-term breeding and conservation strategies. Hence, data of 19 functional traits describing plant physiology, antioxidant properties, anatomy and morphology were determined on 1-year-old seedlings of wild cherry (Prunus aviumL.) half-sib lines. The variability within and among half-sib lines, as well as the estimation of multi-trait association, were examined using analysis of variance (ANOVA) followed by Tukey's honestly significant difference test and multivariate analyses: principal component analysis (PCA), canonical discriminant analysis (CDA) and stepwise discriminant analysis (SDA). Pearson’s correlation coefficient was used to evaluate linear correlation between the study parameters. The results of the ANOVA showed the presence of statistically significant differences (P < 0.01) among half-sib lines for all study traits. The differences within half-sib lines, observed through the contribution of the examined sources of variation to the total variance (%), had higher impact on total variation in the majority of the examined traits. Pearson’s correlation analysis and PCA showed strong relationships between gas exchange in plants and leaf size and stomatal density, as well as between leaf biomass accumulation, intercellular CO2concentration and parameters related to antioxidant capacity of plants. Likewise, the results of SDA indicate that transpiration and stomatal conductance contributed to the largest extent, to the discrimination of the wild cherry half-sib lines. In addition, PCA and CDA showed separation of the wild cherry half-sib lines along the first principal component and first canonical variable with regards to humidity of their original sites. Multiple adaptive differences between the wild cherry half-sib lines indicate high potential of the species to adapt rapidly to climate change. The existence of substantial genetic variability among the wild cherry half-sib lines highlights their potential as genetic resources for reforestation purposes and breeding programmes.
Drug use, harm-reduction practices and attitudes toward the utilisation of drug safety testing services in an Irish cohort of festival-goers
Authors: Ivers Jo-Hanna , Killeen Nicki , Keenan Eamon 
Published: September 2021

Abstract
Background
Festival drug-related deaths are a growing public health concern.

Aim
To examine drug use and related harm-reduction practices and attitudes towards utilisation of drug safety testing services.

Methods
Data collection took place over the 2019 festival season (June–October). The questionnaire was self-reported. Data was gathered via the online survey, which was promoted through online and social media platforms and outlets. Social media communication methods were used to reach the targeted population more effectively.

Results
A total of 1193 Irish festival attendees over the age of 18 completed an anonymous online survey. Alcohol, MDMA powder/crystals, ecstasy pills and cocaine were the highest reported drugs used by Irish festival attendees. The vast majority of participants reported polysubstance use (86.8%/n = 1036). Forty percent of participants (39.98%/n = 477) reported having had sex following the use of a drug at a festival; of these, 66% (n = 316) said that the sex was unprotected. Most participants (84.0%/n = 1003) engaged in some form of harm reduction when taking drugs at festivals.
Overwhelmingly, participants reported a willingness to engage with drug-checking services. The vast majority (96.3%; n = 1149) and would use drug checking services more than three-quarters (75.1%/n = 897) reported that they would use an ‘amnesty bin’ for drugs if it were part of an alert system to notify if dangerous drugs are in circulation. A chi-square test of Independence was conducted to examine whether age and utilisation of drug safety testing service a festival were independent. Moreover, when all cases are taken together, the difference between testing modalities (onsite, offsite and amnesty bin) shows a significant difference p < 001 between those who would use onsite and offsite drug testing facilities.

Conclusion
The evidence from this survey indicates that those young people who use drugs at festivals would be prepared to utilise drug checking services and amnesty bins should help inform the public health response to this important area.
Interaction of microRNAs with sphingosine kinases, sphingosine-1 phosphate, and sphingosine-1 phosphate receptors in cancer
Authors: Xu Guangmeng , Yang Zecheng , Sun Yamin , Dong Hongmei , Ma Jingru 
Published: September 2021

AbstractSphingosine-1-phosphate (S1P), a pleiotropic lipid mediator, participates in various cellular processes during tumorigenesis, including cell proliferation, survival, drug resistance, metastasis, and angiogenesis. S1P is formed by two sphingosine kinases (SphKs), SphK1 and SphK2. The intracellularly produced S1P is delivered to the extracellular space by ATP-binding cassette (ABC) transporters and spinster homolog 2 (SPNS2), where it binds to five transmembrane G protein-coupled receptors to mediate its oncogenic functions (S1PR1-S1PR5). MicroRNAs (miRNAs) are small non-coding RNAs, 21–25 nucleotides in length, that play numerous crucial roles in cancer, such as tumor initiation, progression, apoptosis, metastasis, and angiogenesis via binding to the 3′‐untranslated region (3′‐UTR) of the target mRNA. There is growing evidence that various miRNAs modulate tumorigenesis by regulating the expression of SphKs, and S1P receptors. We have reviewed various roles of miRNAs, SphKs, S1P, and S1P receptors (S1PRs) in malignancies and how notable miRNAs like miR-101, miR-125b, miR-128, and miR-506, miR-1246, miR-21, miR-126, miR499a, miR20a-5p, miR-140-5p, miR-224, miR-137, miR-183-5p, miR-194, miR181b, miR136, and miR-675-3p, modulate S1P signaling. These tumorigenesis modulating miRNAs are involved in different cancers including breast, gastric, hepatocellular carcinoma, prostate, colorectal, cervical, ovarian, and lung cancer via cell proliferation, invasion, angiogenesis, apoptosis, metastasis, immune evasion, chemoresistance, and chemosensitivity. Therefore, understanding the interaction of SphKs, S1P, and S1P receptors with miRNAs in human malignancies will lead to better insights for miRNA-based cancer therapy.
Conceptualization and development of multi-layered groundwater model in transient condition
Authors: Omar Padam Jee , Gaur Shishir , Dikshit P. K. S. 
Published: September 2021

AbstractEffective management of water resource is essential in arid and semi-arid areas of India. In Bihar, for drinking purpose humans, livestock is dependent on the groundwater as well as in agricultural areas groundwater plays an important role in irrigation directly or indirectly. There is rise in the groundwater demand due to rapid population increase and fast industrialization. To meet this groundwater demand, excessive withdrawal of groundwater is a point of concern due to limited storage of it. Assessment of the groundwater was done by preparing a numerical model of the groundwater flow. This model is capable of solving large groundwater problems and associated complexity with it. In this study, a transient multi-layered groundwater flow model was conceptualized and developed for the Koshi River basin. In north Bihar plains, the Koshi River is one of the biggest tributaries of the Ganga River system. Koshi originates from the lower part of Tibet and joins the Ganga River in Katihar district, Bihar, India. After model development, calibration of the model was also done, by considering three model parameters, to represent the actual field conditions. For validation of the model, fifteen observation wells have been selected in the area. With the help of observation well data, computed and observed heads were compared. Comparison results have been found to be encouraging and the computed groundwater head matched with the observed water head to a realistic level of accuracy. Developed groundwater model is used to predict the groundwater head and flow budget in the concerned area. The study revealed that groundwater modeling is an important method for knowing the behavior of aquifer systems and to detect groundwater head under different varying hydrological stresses. This type of study will be beneficial for the hydrologist and water resource engineers to predict the groundwater flow behavior, before implementing any project or to implement a correction scheme.
A study on various pollutants in water and their effect on blood of the consumers
Authors: Shah Syed Faisal Hassan , Shah Syed Hammad Hassan , Ahmad Liaquat , Sherwani Rehan Ahmad Khan , Aslam Muhammad 
Published: September 2021

AbstractWater pollution is one of the most dangerous problems which is commonly ignored in our country. Pakistan ranks very low in the world, regarding drinkable water. Both surface and underground water are contaminated with toxic metals and pesticides and arsenic (μg/L) were found to be 50. The quality parameters set by the WHO are persistently violated. The water quality is seriously affected by improper disposal of industrial, domestic waste and agrochemicals. These pollutants are responsible alone, or along with other factors for a variety of health problems. This article discusses drinking water being supplied in Sahiwal (Pakistan) to students living in the hostel along with an emphasis on the major pollutants, their effects and consequent health problems. The data presented in this article have been collected in Sahiwal. The water samples were collected from the main supply and the blood samples were of the consumers of that water.
Motif-h: a novel functional backbone extraction for directed networks
Authors: Bai Yiguang , Li Qian , Fan Yanni , Liu Sanyang 
Published: September 2021

AbstractDense networks are very pervasive in social analytics, biometrics, communication, architecture, etc. Analyzing and visualizing such large-scale networks are significant challenges, which are generally met by reducing the redundancy on the level of nodes or edges. Motifs, patterns of the higher order organization compared with nodes and edges, are recently found to be the novel fundamental unit structures of complex networks. In this work, we proposed a novel motif h-backbone (Motif-h) method to extract functional cores of directed networks based on both motif strength and h-bridge. Compared with the state-of-the-art method Motif-DF and Entropy, our method solves two main issues which are often found in existing methods: the Motif-h reconsiders weak ties into our candidate set, and those weak ties often have critical functions of bridges in networks; moreover, our method provides a trade-off between the motif size and the edge strength, which quantifies the core edges accordingly. In the simulations, we compare our method with Motif-DF in four real-world networks and found that Motif-h can streamline the extraction of crucial structures compared with the others with limited edges.
A Cautionary Note on Predicting Social Judgments from Faces with Deep Neural Networks
Authors: Keles Umit , Lin Chujun , Adolphs Ralph 
Published: September 2021

AbstractPeople spontaneously infer other people’s psychology from faces, encompassing inferences of their affective states, cognitive states, and stable traits such as personality. These judgments are known to be often invalid, but nonetheless bias many social decisions. Their importance and ubiquity have made them popular targets for automated prediction using deep convolutional neural networks (DCNNs). Here, we investigated the applicability of this approach: how well does it generalize, and what biases does it introduce? We compared three distinct sets of features (from a face identification DCNN, an object recognition DCNN, and using facial geometry), and tested their prediction across multiple out-of-sample datasets. Across judgments and datasets, features from both pre-trained DCNNs provided better predictions than did facial geometry. However, predictions using object recognition DCNN features were not robust to superficial cues (e.g., color and hair style). Importantly, predictions using face identification DCNN features were not specific: models trained to predict one social judgment (e.g., trustworthiness) also significantly predicted other social judgments (e.g., femininity and criminal), and at an even higher accuracy in some cases than predicting the judgment of interest (e.g., trustworthiness). Models trained to predict affective states (e.g., happy) also significantly predicted judgments of stable traits (e.g., sociable), and vice versa. Our analysis pipeline not only provides a flexible and efficient framework for predicting affective and social judgments from faces but also highlights the dangers of such automated predictions: correlated but unintended judgments can drive the predictions of the intended judgments.
Predicting if Lung Cancer Will Relapse–The Role of Neutrophil/Lymphocyte Ratio
Authors: Chan Abigail , Bentzen Søren , Rout Amit , Miller Kenneth 
Published: September 2021

Objective/Background:
Baseline neutrophil/lymphocyte ratio (NLR), a surrogate marker for systemic inflammation and immunosuppression, is a well-studied prognostic marker in non-small cell lung cancer (NSCLC). This study tests if interim NLR is prognostic in NSCLC patients in remission.

Methods:
This single-center, retrospective cohort study analyzed 131 NSCLC patients treated from 2010 to 2015 who achieved complete remission. NLR was calculated at baseline and from the first available blood sample during remission. Kaplan–Meier estimates of overall survival (OS) and time to recurrence were compared using the log-rank test for trend. Multivariable analysis was conducted using the Cox proportional hazards model.

Results:
Of the 131 cases, 63 had subsequently recurred at the last follow-up. The mean age was 64 ± 10 years. Patients with stage I (35%), II (24%), and III (41%) were included. Histology were adenocarcinoma (60%), squamous cell (33%), and unspecified (7%). The majority of patients were smokers. For the univariate analysis interim NLR was binned into tertiles, NLR < 2, 2–4.08, and > 4.08. Of those with an interim NLR > 4.08, prognosis and recurrence risk were higher. In the multivariable analysis, remission NLR was strongly prognostic for OS (p < .001) as did patient’s age (p = .002), but not stage, race, sex, and baseline NLR.

Conclusions:
Our study found that interim NLR, obtained in remission, was strongly prognostic for OS and recurrence.
“It has to be designed in a way that really challenges people’s assumptions”: preparing scholars to build equitable community research partnerships
Authors: Tang Yan Catalina , Haque Samiya , Chassler Deborah , Lobb Rebecca , Battaglia Tracy , Sprague Martinez Linda 
Published: September 2021

Abstract

Introduction:
Clinical and Translational Award (CTSA) programs are developing relevant training for researchers and community stakeholders participating in community-engaged research (CEnR). However, there is limited research exploring the ways community stakeholders and partners with key CEnR experiences can inform and shape training priorities for prospective CEnR scholars to build meaningful and equitable partnerships.

Methods:
This study conducted and analyzed online individual semi-structured in-depth interviews with community stakeholders (n = 13) engaged in CEnR to identify training priorities for graduate students and emerging scholars.

Findings:
Thematic analysis of 13 interview transcripts revealed four major training priorities for prospective scholars interested in engaging in CEnR: 1) researcher’s positionality, 2) equitable power sharing, 3) funding, and 4) ethics.

Conclusion:
Building equitable research partnerships was a central theme woven across all four training priorities. Further research should focus on examining the development, implementation, and evaluation of CEnR training in partnership with community stakeholders and partners with relevant CEnR experience. Adopting a collaborative approach to incorporate both community stakeholders and researchers’ priorities can align training competencies to better prepare scholars to engage in building research partnerships.
FIGARO simulation: FIlaments & GAlactic RadiO simulation
Authors: Hodgson Torrance , Vazza Franco , Johnston-Hollitt Melanie , McKinley Benjamin 
Published: September 2021

AbstractWe produce the first low to mid-frequency radio simulation that incorporates both traditional extragalactic radio sources as well as synchrotron cosmic web emission. The FIlaments & GAlactic RadiO (FIGARO) simulation includes 10 unique 4° × 4° fields, incorporating active galactic nucleii (AGNs), star-forming galaxies (SFGs), and synchrotron cosmic web emission out to a redshift ofz= 0.8 and over the frequency range 100–1 400 MHz. To do this, the simulation brings together a recent 1003Mpc3magnetohydrodynamic simulation (Vazza et al. 2019, A&A, 627, A5), calibrated to match observed radio relic population statistics, alongside updated ‘T-RECS’ code for simulating extragalactic radio sources (Bonaldi et al. 2019, MNRAS, 482, 2). Uniquely, the AGNs and SFGs are populated and positioned in accordance with the underlying matter density of the cosmological simulation. In this way, the simulation provides an accurate understanding of the apparent morphology, angular scales, and brightness of the cosmic web as well as—crucially—the clustering properties of the cosmic web with respect to the embedded extragalactic radio population. We find that the synchrotron cosmic web does not closely trace the underlying mass distribution of the cosmic web, but is instead dominated by shocked shells of emission surrounding dark matter halos and resembles a large, undetected population of radio relics. We also show that, with accurate kernels, the cosmic web radio emission is clearly detectable by cross-correlation techniques and this signal is separable from the embedded extragalactic radio population. We offer the simulation as a public resource towards the development of techniques for detecting and measuring the synchrotron cosmic web.
Does body size influence mating success? A morphometric study of two Anastrepha (Diptera: Tephritidae) fruit fly species
Authors: Sánchez-Rosario Mayren , Pérez-Staples Diana , Valle-Mora Javier , Sánchez-Guillén Daniel , Ruiz-Montoya Lorena , Liedo Pablo 
Published: September 2021

AbstractMale mating success depends on various traits and factors, and correctly identifying these traits can be key in the context of pest management. For tephritid pests, controlled through the sterile insect technique (SIT) traits, such as male size, can be manipulated through mass-rearing procedures. Thus, it is particularly important to understand whether male size can favor mating success. Here, we evaluated mating success of males of different sizes in Anastrepha ludens and Anastrepha obliqua, two species controlled through SIT. For both species, a morphometric analysis was performed of mated and unmated mass-reared and wild males in field cages. In both A. ludens and A. obliqua, wild females did not discriminate their mates based on male size and mated more frequently with wild males regardless of size. For mass-reared males, we found no evidence of an advantage of the large males compared to small males in mating success. However, we did find differences between the morphometric traits of mass-reared and wild males. In A. ludens, traits associated to mating success were Face Width (FW), Head Width (HW), Thorax Length (TL) and Wing Length (WL), and for A. obliqua were FW, HW, WL and WW (Wing Width). Overall, FW and TL were more consistent predictors of mating success. In conclusion, female choice seems to suggest multivariate selection, confirming that overall body size (expressed as pupal diameter, which is highly correlated with weight) is not a decisive factor in male mating success in these two species. However, morphological traits such as FW, HW, TL, WL and WW may be relevant in mating preference of wild female.
THE SHAPE OF EARLY GREEK UTOPIA
Authors: Napoli Davide 
Published: September 2021

AbstractThe paper offers a new approach to utopia in early and classical Greek texts from Homer to the fifth century. The model is based on four motifs regularly occurring in ‘utopian texts’, that is, descriptions of places that are distant in time and/or space. A comparative analysis of such texts (drawn from Homer, Hesiod, Pindar, Old Comedy and Herodotus) and of how they manipulate the four motifs sheds new light on specific problems (as, for example, the relevance of Herodotus’ Ethiopian episode, or the role of the myth of Perseus in Pindar's Pythian 10) and encourages more nuanced readings of famous texts, such as Homer's account of Scheria.
Autonomous landing of a quadrotor on a moving platform using vision-based FOFPID control
Authors: Ghasemi Ali , Parivash Farhad , Ebrahimian Serajeddin 
Published: September 2021

AbstractThis research deals with the autonomous landing maneuver of a quadrotor unmanned aerial vehicle (UAV) on an unmanned ground vehicle (UGV). It is assumed that the UGV moves independently, and there is no communication and collaboration between the two vehicles. This paper aims at the design of a closed-loop vision-based control system for quadrotor UAV to perform autonomous landing maneuvers in the possible minimum time despite the wind-induced disturbance force. In this way, a fractional-order fuzzy proportional-integral-derivative controller is introduced for the nonlinear under-actuated system of a quadrotor. Also, a feedback linearization term is included in the control law to compensate model nonlinearities. A supervisory control algorithm is proposed as an autonomous landing path generator to perform fast, smooth, and accurate landings. On the other hand, a compound AprilTag fiducial marker is employed as the target of a vision positioning system, enabling high precision relative positioning in the range between 10 and 350 cm height. A software-in-the-loop simulation testbed is realized on the windows platform. Numerical simulations with the proposed control system are carried out, while the quadrotor system is exposed to different disturbance conditions and actuator dynamics with saturated thrust output are considered.