bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mixed eolian–longshore sediment transport in the late Paleozoic Arizona shelf and Pedregosa basin, U.S.A.: A case study in grain-size analysis of detrital-zircon datasets
Authors: Leary Ryan J. , Smith M. Elliot , Umhoefer Paul 
Published: August 2022

ABSTRACT
Detrital-zircon U–Pb geochronology has revolutionized sediment provenance studies over the last two decades, and zircon has been successfully analyzed from nearly all sedimentary lithologies, depositional environments, and sediment grain sizes. However, despite the ubiquity of this method and the far-reaching interpretations supported by detrital-zircon data, few studies have investigated the potential role of zircon grain size on age spectra and provenance interpretation. In this study, we investigate the connections between sample grain size, zircon grain size, U–Pb age spectra, and interpreted provenance using 18 detrital-zircon samples (4999 individual grains) collected from Pennsylvanian–Permian strata in central and southern Arizona, USA. In these samples, there is no clear correlation between sample grain size and zircon grain size and no clear correlation between sample grain size and age spectra. However, when all grains are grouped by zircon minimum long-axis dimension, the abundance of some age groups is correlated to zircon grain size. In Pennsylvanian samples, &lt; 400 Ma grains and 2500–3000 Ma zircons are more abundant in the finer fractions, and 1400–1900 Ma zircons are more abundant in coarser fractions of both Pennsylvanian and Permian samples. In Permian samples, 500–800 Ma zircons are most abundant in the finer fractions, and 2500–3000 Ma grains are concentrated in the coarser fractions. Based on changes in abundance and grain-size distribution of 500–800 Ma grains, we interpret a change in zircon provenance across the Pennsylvanian–Permian boundary that reflects regional climate and paleogeographic changes driven in part by the northward drift of Laurentia across the equator. Specifically, we interpret the concentration of 500–800 Ma zircons in Permian samples in central and southern Arizona to indicate that these grains were: 1) sourced from Gondwana, 2) deposited in, and subsequently eroded (recycled) from, Mississippian–Pennsylvanian strata in the Arkoma, Anadarko, and Fort Worth basins at the margins of Laurentia, and 3) finally transported into the Arizona study area as loess by easterly trade winds. This study serves as a case study in the value and interpretive power of basic grain-size characterization of detrital-geochronology datasets.
Novel Portfolio Selection Models with Parametric Entropy and Sensitivity Analysis under Hesitant Fuzzy Environment
Authors: Deng Xue , Zhao Jinyao , Fu Qihan 
Published: August 2022

Abstract
In most risk investments, it is difficult for investors to acquire enough precise data, so they have to rely on uncertain information to make decisions. Taking advantage of hesitant fuzzy sets, whose membership degree is composed of several values in the closed interval between 0 and 1, thus it is easier to depict the uncertainty of events in the practical applications. Based on the above facts, this paper focuses on the portfolio selection problem under hesitant fuzzy environment, using hesitant fuzzy sets’ membership degrees to describe investors’ hesitation and adopting parametric entropy to measure fuzzy sets’ uncertain degree. Firstly, we present a parametric entropy formula satisfying the axiomatic definition of hesitation fuzzy entropy through serious mathematical proof and discussion. Secondly, two portfolio models with parametric hesitant fuzzy entropy are proposed, which adopt score function and entropy to describe return and risk, respectively. In addition, a constraint trisection approach is developed to solve our proposed models according to investors’ different risk preferences. Finally, a case study is conducted to highlight the effectiveness of the proposed models. Sensitivity analysis is carried out to explore the effect of parameter changes on portfolio return, risk and investment ratio, which fully manifest the flexibility of parametric entropy. We come to the conclusion from multiple sets of data that parameter setting can reasonably reflect investors’ information preference. Compared with conventional method, not only parametric entropy introduced as a risk measure for portfolio models, but also the explicit model solving processes listed in this paper contribute to portfolio under hesitant fuzzy environment.
A Theoretical Study to Estimate Milk Adulteration Using Surface Plasmon Technique
Authors: V Prathap , S Arun Prakash 
Published: August 2022

Abstract
In the proposed work, a biosensor has been proposed to detect adulteration in milk. The rapid detection of adulteration such as Urea, Melamine, and Salmonella is a major concern for the food industry. In the present study, urea, melamine, and salmonella are detected in cow and buffalo milk using SPR based technique. The performance of the proposed sensor for urea detection in buffalo and cow milk is 37.952°/RIU and 38.44°/RIU, respectively. In contrast, the sensitivity detected by the proposed SPR sensor for the salmonella and melamine salmonella adulteration in the milk is 22.0025°/RIU and 179.125°/RIU, respectively.
Mapping regional vulnerability in Europe’s energy transition : development and application of an indicator to assess declining employment in four carbon-intensive industries
Authors: McDowall William , Reinauer Tobias , Fragkos Panagiotis , Miedzinski Michal , Cronin Jennifer 
Published: August 2022

Abstract
Europe’s transition to an energy system compatible with limiting global heating to 1.5°C will require radical changes in energy systems. While this will create substantial new growth industries in clean technologies, some currently important economic activities will decline. The impacts of that transition will not be the same for all regions. We map the economic vulnerability of European regions to ambitious decarbonisation scenarios. To do so, we develop a composite vulnerability indicator that combines each region’s share of employment in a set of high carbon industries with other dimensions of vulnerability and resilience. We then explore how regional patterns of vulnerability are influenced by the technology pathway to 2050, using four scenarios modelled using the European PRIMES model. We show that economic vulnerability to the low-carbon transition is regionally concentrated, with some regions combining high employment shares in industries expected to decline with weak adaptive capacity and high pre-existing unemployment. We also show that there is little variation in regional vulnerability arising from different transition pathways. All scenarios compatible with 1.5°C involve large declines in all high-carbon sectors we analyse, and as a result scenario variation does not lead to large variation in relative vulnerability of regions. The results highlight regions that may be in need of additional policy support to diversify their economies and achieve a just transition.
Reinforcement Learning-Based Rate Adaptation in Dynamic Video Streaming
Authors: Hafez Nada A. , Hassan Mohamed S. , Landolsi Taha 
Published: August 2022

Abstract
Video streaming stands out as the most significant traffic type consumed by mobile devices. This increased demand has been a major driver for research on bitrate adaptation algorithms. Bitrate adaptation ensures high user-perceived quality, which, in turn, correlates with higher profits for content providers and delivery systems. Dynamic adaptive streaming over HTTP (DASH) is a widely adopted video streaming standard utilized by service providers to provide competitive quality of experience (QoE). It is capable of providing seamless streaming via uncertain network conditions by switching across different video qualities and their corresponding video segment bitrates. The complexity of the video streaming environment makes it a good candidate for different learning-based approaches. Accordingly, this paper proposes a reinforcement-learning (RL) deep Q-network called DQNReg, that enhances the classical deep Q-learning method. A segment-wise QoE-based reward function is formulated so that the learning strategy can converge towards maximizing the QoE outcome. The proposed RL-based adaptation approach is evaluated using trace-based simulation for both wireless local area network channels and 5G mobile channels. The performance of this RL-based method is compared to three methods: A heuristic method, a model-based method, and a classical learning-based method. The comparison shows that the RL-based method converges faster while achieving a high QoE score. In addition, it reduces the re-buffering duration while maintaining higher video quality and relatively lower quality variations.
Clinical Factors Influencing Long-Term Survival in a Real-Life Cohort of Early Stage Non-Small-Cell Lung Cancer Patients
Authors: Torrente Maria , Sousa Pedro A. , Guerreiro Gracinda R. , Franco Fabio , Hernández Roberto , Parejo Consuelo , Sousa Alexandre , Campo-Cañaveral José Luis , Pimentão João , Provencio Mariano 
Published: August 2022

Abstract
BACKGROUND
Current prognosis in oncology is reduced to the tumour stage and performance status, leaving out many other factors that may impact the patient´s management. Prognostic stratification of early stage non-small-cell lung cancer (NSCLC) patients with poor prognosis after surgery is of considerable clinical relevance. The objective of this study was to identify clinical factors associated with long-term overall survival in a real-life cohort of patients with stage I-II NSCLC and develop a prognostic model that identifies features associated with poor prognosis and stratifies patients by risk.
METHODS
This is a cohort study including 505 patients, diagnosed with stage I-II NSCLC, who underwent curative surgical procedures at a tertiary hospital in Madrid, Spain.
RESULTS
Median OS (in months) was 63.7 (95% CI, 58.7–68.7) for the whole cohort, 62.4 in patients submitted to surgery and 65 in patients submitted to surgery and adjuvant treatment. The univariate analysis estimated that a female diagnosed with NSCLC has a 0.967 (95% CI 0.936–0.999) probability of survival one year after diagnosis and a 0.784 (95% CI 0.712–0.863) five years after diagnosis. For males, these probabilities drop to 0.904 (95% CI 0.875–0.934) and 0.613 (95% CI 0.566–0.665), respectively. Multivariable analysis shows that sex, age at diagnosis, type of treatment, ECOG-PS, and stage are statistically significant variables (p < 0.10). According to the Cox regression model, age over 50, ECOG-PS 1 or 2, and stage ll are risk factors for survival (HR > 1) while adjuvant chemotherapy is a good prognostic variable (HR < 1). The prognostic model identified a high-risk profile defined by males over 71 years old, former smokers, treated with surgery, ECOG-PS 2.
CONCLUSIONS
Surgery plus adjuvant chemotherapy was associated with the best long-term OS in our patients. The prognostic model identified Age, Sex, Stage and ECOG-PS as significant factors to explain the probability of survival.
Datura Stramonium leaves extract Silver Nanoparticles regulates PINK1 gene in Parkinson’s disease model of Drosophila melanogaster
Authors: SHIVANNA DEVARAJU KURAMKOTE , G Gopinath , Hanumanthappa Ramesha , Babu Yarajarla Ramesh , Abbigeri Megha Basavaraj , Ajanal Manjunath , Nanjaiah Hemalatha 
Published: August 2022

Abstract
In recent years, several eco-friendly processes for the synthesis of silver nanoparticles (AgNPs) are increasing; they have tremendous applications in the field of diagnosis and therapeutic values for various diseases /disorders. In this article the green synthesis of Datura stramonium leaves extract silver nanoparticles (DS-AgNPs) was carried out and are characterized for different properties like reduction of Ag + to Ag◦, absorption maxima, functional group of secondary metabolites, crystalline structure, morphology, and size by using UV-Vis spectroscopy, fourier transform infrared spectroscopy (FITR) X-ray spectroscope (XRD), scanning electron microscopy (SEM) and atomic force microscopy (AFM) respectively. Further the effects of DS-AgNPs on WT Park TM3 SB and WI Park 25 Parkinson’s mutant Drosophila melanogaster was assessed by the Negative geotaxis assay and PINK 1 gene expression. Treatment with DS-AgNPs exhibited increased geotaxis behavior and with a positive survival percentage, finally PINK1 was found to be down regulated as the treatment concentrations increased in WI Park 25 mutant but up regulated in WT Park TM3 SB mutant PD model. Although more molecular mechanism needs to be understood, however the use of DS-AgNPs can be a promising treatment strategy for the PD.
Promising anti-Toxoplasma activity of 1,2,3-triazole tethering sulfonamide moiety; synthesis; characterization and in vitro study
Authors: Arafa Fadwa Mostafa , Osman Doaa Hassan , Tolba Mona Mohamed , Rezki Nadjet , Aouad Mohamed R , Hagar Mohamed , Osman Mervat , Said Heba 
Published: August 2022

Abstract
Toxoplasmosis is an infection that prevails all over the world and is caused by the obligate intracellular protozoan parasite Toxoplasma gondii (T.gondii). The current study introduces new lead compounds for the treatment of T.gondii. Three novel 1,2,3-triazoles-based sulfonamide scaffold were designed, synthesized and fully characterized in order to investigate the In vitro toxoplasmacidal potency using Vero cells as host for T. gondii. Selectivity index parameter was used to express compounds efficacy in the inhibition of T. gondii proliferation, whereas the scanning electron microscopy technique was used to assess the ultrastructural changes. A significant anti-toxoplasma activity was observed with hybrid molecules compared to the sulfadiazine as a positive control. The results showed that the IC50 (inhibitory concentration) of the investigated compounds 3(a,b,c) were recoded as 10.335 µg/ml, 20.106 µg/ml and 5.574 µg/ml, respectively; while the used sulfadiazine exhibited 49.794 µg/ml as IC50. The investigated 1,2,3-triazole-sulfadrug molecular conjugates 3(a,b,c) revealed selectivity index at 21.028, 8.356, 28.595, respectively. All compounds were highly selective than the gold standard drug which showed selectivity index of 7. Scanning electron microscopy (SEM) revealed that most tachyzoites had remarkable morphological changes after 2 hours of exposure. To reveal that compound 3c exhibits the highest activity against T. gondii.
Characterization of Capa Peptide and Its Receptor in Bemisia Tabaci
Authors: Thakur Sudeshna , Jindal Vikas 
Published: August 2022

Abstract
The diuresis process in insects is regulated by CAPA neuropeptides, which activate the specific cognate receptor i.e CAPAr. In this study, we characterized the CAPAr gene (BtabCAPAr) in whitefly, Bemisia tabaci Asia II 1 for the first time. The two splicing isoforms of the BtabCAPAr gene i.e BtabCAPAr-1 and BtabCAPAr-2 which included six (421 aa) and five (355 aa) exons, respectively were recorded. The third exon was missing in the BtabCAPAr-2 isoform. The transmembrane topology depicted the presence of seven and five transmembrane regions in BtabCAPAr-1 and BtabCAPAr-2, respectively. The relative BtabCAPAr gene expression in different whitefly life stages revealed the highest (3.76 folds) expression level of the BtabCAPAr gene in the adult stage as compared to the egg stage. The expression of the BtabCAPAr gene in the nymphal and pupal stage did not differ significantly with each other as well as egg stage. Two peptides, CAPA-PVK1 and CAPA-PVK2 were identified through a functional luminescence assay, which strongly activated the BtabCAPAr-1 receptor with very low EC50 values of 0.067 nM and 0.053 nM, respectively. The basic information generated in the study will help develop biostable peptides, which can be tested further and may lead to the development of new generation insecticides.
Assessing and comparing the emotional intelligence in generalist and psychiatric nurses
Authors: Alshowkan Amira , Kamel Neama , Alghamdi Rayanah 
Published: August 2022

Abstract
Aim: Emotional intelligence (EI) is linked to individual well-being and has a positive effect on patient care. This study was aimed at assessing and comparing the EI levels demonstrated by students at one university in Saudi Arabia who studied had psychiatric and mental health nursing and those who had studied nursing fundamental of nursing courses but had not yet taken psychiatric nursing courses. Design: A descriptive and comparative study designMethods: Data were collected from all second- and third-year nursing students using the Schutte Self-Report Emotional Intelligence Test (SSEIT). Results: Finding indicate that students who had studied only nursing fundamentals demonstrated lower EI than those who were completing psychiatric and mental health nursing courses. Moreover, increased EI was related to the education level of the participant’s father and being the eldest child in the family
Efficacy and safety of vonoprazan-based quadruple therapy for the eradication of Helicobacter pylori in patients with peptic ulcers: a pooled analysis of two randomized, double-blind, double-dummy, phase 3 trials
Authors: Hou Xiaohua , Wang Jiangbin , Du Qin , Tian Dean , Hu Naizhong , Liu Deliang , Zhou Fang , Xie Li , Gu Liqun , Kudou Kentarou , Zhang Shutian 
Published: August 2022

AbstractBackgroundHelicobacter pylorieradication is a key goal in treating peptic ulcers withH. pyloriinfection, a disease highly prevalent in Asia. We present a pooled analysis of two randomized, double-blind, double-dummy, phase 3 studies to evaluate the efficacy and safety of vonoprazan-based bismuth-containing quadruple therapy inH. pylorieradication.MethodsPatients aged ≥18 years with endoscopically confirmed duodenal or gastric ulcers were randomized 1:1 to receive vonoprazan 20 mg or lansoprazole 30 mg once daily for up to 6 or 8 weeks, wherebyH. pylori-positive patients received vonoprazan- or lansoprazole-based bismuth-containing quadruple therapy for the first 2 weeks.H. pylorieradication was determined by a carbon-13 urea breath test at a follow-up visit 4 weeks post-treatment.ResultsTheH. pylorieradication rate was90.6% with vonoprazan vs 85.2% with lansoprazole (difference: 5.4%; 95% confidence interval [CI]: −0.1, 10.8).H. pylorieradication was 7.1% (95% CI: 1.4, 12.8) and 12.6% (95% CI: 3.9, 22.0) higher in patients aged <65 years and current smokers, respectively, with vonoprazan vs lansoprazole. In the Chinese subpopulation, theH. pylorieradication rate was 92.0% with vonoprazan vs 86.0% with lansoprazole (difference: 6.1%; 95% CI: 0.5, 11.7). Treatment‑emergent adverse events occurred in 72.7% vs 62.6% of patients who wereH. pyloripositive at baseline in the vonoprazan vs lansoprazole arm.ConclusionsH. pylorieradication with vonoprazan-based quadruple therapy was indicated to be non-inferior to lansoprazole-based quadruple therapy and exceeded 90%, a clinically relevant threshold for determining the efficacy ofH. pylorieradication regimens. (ClinicalTrials.gov identifier: NCT03050359; NCT03050307).
Steady-state Peierls transition in nanotube quantum simulator
Authors: Zhang Lin , Bhattacharya Utso , Bachtold Adrian , Forstner Stefan , Lewenstein Maciej , Pistolesi Fabio , Grass Tobias 
Published: August 2022

Abstract
Quantum dots placed along a vibrating nanotube provide a new quantum simulation platform that can directly address the electron-phonon interaction. This offers promising prospects for the search of new quantum materials and the study of strong correlation effects. As this platform is naturally operated by coupling the dots to an electronic reservoir, state preparation is straightforwardly achieved by driving into the steady state. Here we show that for intermediate electron-phonon coupling strength, the system with spin-polarized quantum dots undergoes a Peierls transition into an insulating regime which exhibits charge-density wave order in the steady state as a consequence of the competition between electronic Coulomb repulsive interactions and phonon-induced attractive interactions. The transport phenomena can be directly observed as fingerprints of electronic correlations. We also present powerful novel methods to numerically capture the physics of such an open electron-phonon system at large numbers of phonons. Our work paves the way to study and detect novel correlated electron-phonon physics in the nanotube quantum simulator with current experimentally accessible techniques.
Eating behavior and physical activity leading to gender differences in overweight and obesity among college students in China
Authors: Mu Lianwei , Qiu Ping-xue , Wang Hai-ying 
Published: August 2022

Abstract
Overweight and obesity are showing an increasing prevalence among college students. But gender differences related to overweight and obesity in Chinese college students have not been adequately characterized. This cross-sectional study aimed to investigate the gender differences in overweight and obesity among college students, then, investigate why these gender differ-ences exist. A total of 622 undergraduate students (females: N = 245, male: N = 377), aged 18–23 years, were recruited from the Hebei Sport University in China. Anthropometric data, physical activity and sedentary behaviors, eating behaviors (cognitive restraint, uncontrolled eating, and emotional eating) and food addiction were collected through anthropometric measurements and questionnaires that included the International Physical Activity Questionnaire short-form (IPAQ-SF), the Modified Food Addiction Scale version 2.0 (mYFAS 2.0), and the Three Factor Eating Questionnaire (TFEQ). Here, we show that female college students had a significantly higher prevalence of overweight and obesity (Female: BFP ≥ 25%; Male: BFP ≥ 20%) than male students. Meanwhile, Female college students had a higher mean body fat percentage (BFP) and a lower waist circumference, waist-to-hip ratio, visceral fat area, fat-free mass, muscle mass, and skeletal muscle mass compared to male college students. Additionally, female college students were more likely to be moderate physical activity than males, while male college students were more likely to be severe physical activity. Female college students had significantly higher mean scores for cognitive restraint, uncontrolled eating, and emotional eating than males. Our findings indicated that the higher prevalence of overweight and obesity rates in female college students than male students may be due to de differences in physical activity and eating behavior.