Miracle-dz/UniFAR-FTUs huggingface dataset:
Relation Between Gender Role and Interpersonal Relations of Chinese College Students

The college period is an important stage in the development of gender role, which is also a key period in interpersonal relations. At present, many college students in China are facing the pressure of interpersonal communication, and even have difficulty dealing with interpersonal relationships. Previous studies have shown that gender role is an important factor affecting the harmony of college students' interpersonal relations. Therefore, this paper aims to explore the relationship between the four gender role types and interpersonal relations, and the impact of the four gender role types on the interpersonal relations of Chinese college students. We find that college students whose gender roles are masculine and androgynous have the most harmonious interpersonal relations mode. Besides, college students who are feminine and undifferentiated are more likely to have problems in interpersonal relations. Moreover, suggestions are proposed in order to improve the interpersonal harmony of Chinese college students. Specifically, families, schools, society and media should actively guide college students to develop in the direction of masculinity and androgyny, so as to promote their physical and mental health and adapt to the society. These results offer a guideline that we need to foster more college students whose gender role types are masculine and androgynous in order to improve their interpersonal harmony.
Sex and socioeconomic status were also significant risk factors: “AT for the rs10757278 polymorphism”

Background: Numerous single nucleotide polymorphisms (SNPs) located in chromosomal region 9p21 have been associated with cardiovascular disease, most of these studies in European populations. We have no knowledge of studies conducted in admixed populations populations as the Latin Americans. For this reason we decided to study the association of SNPs rs2383206, rs10757274 and rs10757278, together with some non-genetic factors with arterial thrombotic events (AT), in individuals from the north-eastern portion of Venezuela. Methods: Gender, age and non-genetic risk variables were evaluated in 119 patients with AT and 119 control subjects. Genotypes were identified using TaqMan probes. The odds ratio (OR) for genotypes alone and in conjunction with non-genetic variables were estimated. Results: There was a consistent association of rs10757278 with AT, increased in males (OR=2.38). The medium-low socioeconomic status also confers a significant risk for AT in both sexes (OR=4.04). Haplotypes with at least two A alleles, proved to be protective (OR=0.53) in developing arterial thrombosis. Conclusions: There was a consistent association with AT for the rs10757278 polymorphism, increased in males. Sex and socioeconomic status were also significant risk factors in this study reinforcing the importance in studying other variables such as environmental and sex differences together with the genetic structure of each population when analyzing risks for AT diseases. These results serve as a guide when searching for markers of risk for this disease common in Venezuela.
Innovative Configuration Design of Two-Wire Tip Mechanisms for a Tipping-Bucket Rain Gauge

This paper evaluates the measurement accuracy of the three designs of an innovative Tipping-Bucket Rain Gauge (TBRG) tip mechanism. A water-level detecting circuit is used to replace the conventional reed switch sensor, which addresses the disadvantages of the magnetic sensing method that became a factor in quantification uncertainties. The TBRG configuration designs were the bucket-feed, which detects the presence of water inside the bucket, and the bottom-feed and the center-feed, which use the tip-impact method in measuring rainfall. The constant flow method is used in the experimentation. The bucket-feed shows potential in precision rainfall measurement for having -3.84% and -2.68% accuracy errors at 6 mL/min and 11 mL/min respectively, without correction algorithm applied. The tip-impact application for the bottom-feed and the center-feed resulted in a higher error percentage from the volumetric flow samples. The result indicates that actual detection in the bucket brings more measurement accuracy than the tip-counting technique.
Improving the Pareto Frontier in multi-dataset calibration of hydrological models using metaheuristics

Abstract. Hydrological models are crucial tools in water and environmental resource management but they require careful calibration based on observed data. Model calibration remains a challenging task, especially if a multi-objective or multi-dataset calibration is necessary to generate realistic simulations of multiple flow components under consideration. In this study, we explore the value of three metaheuristics, i.e. (i) Monte Carlo (MC), (ii) Simulated Annealing (SA), and (iii) Genetic 5 Algorithm (GA), for a multi-data set calibration to simultaneously simulate streamflow, snow cover and glacier mass balances using the conceptual HBV model. Based on the results from a small glaciated catchment of the Rhone River in Switzerland, we show that all three metaheuristics can generate parameter sets that result in realistic simulations of all three variables. Detailed comparison of model simulations with these three metaheuristics reveals however that GA provides the most accurate simulations (with lowest confidence intervals) for all three variables when using both the 100 and the 10 best parameter sets for 10 each method. However, when considering the 100 best parameter sets per method, GA yields also some worst solutions from the pool of all methods’ solutions. The findings are supported by a reduction of the parameter equifinality and an improvement of the Pareto frontier for GA in comparison to both other metaheuristic methods. Based on our results, we conclude that GA-based multi-dataset calibration leads to the most reproducible and consistent hydrological simulations with multiple variables considered.
A Novel Tomato Volume Measurement Method based on Machine Vision

: Density is one of the auxiliary indicators for judging the internal quality of tomatoes. However, in the density measurement process, it is often difficult to measure the volume of the tomatoes accurately. To solve this problem, first, this study proposed a novel tomato volume measurement method based on machine vision. The proposed method uses machine vision to measure the geometric feature parameters of tomatoes, and inputs them into the LabVIEW software to convert the calculation of irregular tomato volume into a BP neural network (BPNN) model that calculates the plane pixel area and pixel volume, thereby realizing the modeling, analysis, design and simulation of tomato volume; then, an experimental platform was constructed to compare the results of the proposed method with the results predicted by the 3D wireframe model. When the number of photos taken was n = 5, the average error of the tomato volume prediction results of the 3D wireframe model was 8.22%, and the highest accuracy was 92.93%; while the average error of the tomato volume prediction results of the BPNN was 4.60%, and the highest accuracy was 95.60%. Increasing the number of orthographic projections can improve the accuracy of the model, but when the number of photos was more than 7, the accuracy improvement was not significant. Also, increasing the number of nodes in the hidden layer can improve the accuracy of the model, however, considering that increasing the number of nodes will increase the host operating cost, it is suggested to choose a node number of 12 for the tomato volume measurement. In the end, the final experimental results showed that the proposed method achieved better measurement results. However, the volume measured by the two models is larger than the real volume of tomatoes. For this reason, we added a correction coefficient to the BPNN model, and its highest accuracy has increased by 1.3%.
What can we learn from amino acids about oceanic organic matter cycling 1 and degradation ?

14 Amino acids (AA) mainly bound in proteins are major constituents of living biomass and non15 living organic material in the oceanic particulate and dissolved organic matter pool. Uptake and 16 cycling by heterotrophic organisms lead to characteristic changes in AA composition so that 17 AA based biogeochemical indicators are often used to elucidate processes of organic matter 18 cycling and degradation. We analyzed particulate AA in a large sample set collected in various 19 oceanic regions covering sinking and suspended particles in the water column, sediment 20 samples as well as dissolved AA from water column and pore water samples. The aim of this 21 study was to test and improve the use of AA derived biogeochemical indicators as proxies for 22 organic matter sources and degradation, and to better understand particle dynamics and 23 interaction between the dissolved and particulate organic matter pools. A principal component 24 analysis (PCA) of all data delineates diverging AA compositions of sinking and suspended 25 particles with increasing water depth. A new sinking particle and sediment degradation 26 indicator (SDI) allows a fine-tuned classification of sinking particles and sediments with respect 27 to the intensity of degradation, which is associated with changes of bulk N ratios. This new 28 indicator furthermore is sensitive to sedimentary redox conditions and can be used to detect 29 past anoxic early diagenesis. A second indicator emerges from the AA spectra of suspended 30
Review of one of the education policies: Total quality management in schools

This paper reviews one of the policies which have been removed from implementation as a management approach (Total Quality Approach) in education. The main argument is that barrowing policies from abroad without considering to what extend the characteristics of the existing system would suit to the intended approach or to what extend the major needs of it would been met by the existing system are the major issues to take into account before introducing any policies in education. Therefore, Total Quality management approach and requirements of successful implementations are discussed by setting these arguments in Turkey’s education.
securiTY and inTeGraTion in asian reGion

DOI: 10.14258/ssi(2021)3-01 Социальная безопасность в российских регионах определяется комплексом глобальных и общероссийских угроз и уникальными локальными опасностями и рисками, проистекающими из особенностей географического, социального-экономического и социокультурного развития, исторически сложившихся особенностей социальных взаимодействий членов регионального сообщества. Приграничные регионы, как буферные зоны, находящиеся между экономическими, политическими и культурными границами, имеют свои особенности, актуальные для изучения в контексте модернизации российского общества, необходимости разработки дифференцированного подхода в регулировании регионального развития. Основываясь на результатах комплексного научного исследования, включающего психосемантические эксперименты и социологические опросы в шести приграничных регионах России, авторы исследуют особенности восприятия актуальных рисков
Nanotechnological Applications of Green Iron Oxide Nanoparticles ( IONPs ) : A Review

Citation: Nimali N Prabhu. “Nanotechnological Applications of Green Iron Oxide Nanoparticles (IONPs): A Review”. EC Microbiology 17.9 (2021): 32-37. In the past twenty years, scientists worldwide have been taking extreme interest in synthesizing green metallic nanoparticles (NPs). Various plant based synthesis protocols have been devised and different dimensions of NPs applications have been explored. A lot of research has already been published on the synthesis of metallic NPs. Currently, scaling up process for the commercialization of these NPs is at the prime focus. The rapid and cost-effective synthesis of metallic NPs especially, iron oxide nanoparticles (IONPs) have opened up new avenues. This review article mainly emphasizes on the role of IONPs synthesized using different plant extracts for diverse nanotechnological applications.
Comparative analysis of the physical and mechanical properties of kraft paper and watercolor paper

In order to study the feasibility of kraft paper as watercolor paper, the wetting properties, mechanical properties and friction properties of kraft paper and watercolor paper were compared before and after aging. The aging test was carried out on kraft paper and the watercolor paper by aging chamber, the wetting properties of distilled water and three watercolor solutions before and after aging of kraft paper and watercolor paper were compared, tensile tear test of paper on the tensile testing machine, the fracture changes of paper were analyzed by scanning electron microscope, the friction tester performs the paper friction test. The results show that both kinds of paper are amorphous, watercolor paper was showed hydrophobicity before and after the aging, the contact angle was maintained at about 119,09° ± 5° in four different solutions, unaged kraft paper exhibited hydrophilicity, the aged kraft paper showed hydrophobicity with a contact angle of 92,52° ± 1°, the aged kraft paper shows better performance in both tensile and tearing aspects and tensile strength is 20 MPa higher than watercolor paper, the surface roughness of kraft paper is higher than watercolor paper. The experiment is helpful for the market to consider whether the cheaper kraft paper replaces the more expensive watercolor paper in some aspects and provides some scientific reference value for future research.
Atomic layer deposition: an enabling technology for the growth of functional nanoscale semiconductors

In this paper, we present the progress in the growth of nanoscale semiconductors grown via atomic layer deposition (ALD). After the adoption by semiconductor chip industry, ALD became a widespread tool to grow functional films and conformal ultra-thin coatings for various applications. Based on self-limiting and ligand-exchange-based surface reactions, ALD enabled the low-temperature growth of nanoscale dielectric, metal, and semiconductor materials. Being able to deposit wafer-scale uniform semiconductor films at relatively low-temperatures, with sub-monolayer thickness control and ultimate conformality, makes ALD attractive for semiconductor device applications. Towards this end, precursors and low-temperature growth recipes are developed to deposit crystalline thin films for compound and elemental semiconductors. Conventional thermal ALD as well as plasma-assisted and radical-enhanced techniques have been exploited to achieve device-compatible film quality. Metal-oxides, III-nitrides, sulfides, and selenides are among the most popular semiconductor material families studied via ALD technology. Besides thin films, ALD can grow nanostructured semiconductors as well using either template-assisted growth methods or bottom-up controlled nucleation mechanisms. Among the demonstrated semiconductor nanostructures are nanoparticles, nano/quantum-dots, nanowires, nanotubes, nanofibers, nanopillars, hollow and core–shell versions of the afore-mentioned nanostructures, and 2D materials including transition metal dichalcogenides and graphene. ALD-grown nanoscale semiconductor materials find applications in a vast amount of applications including functional coatings, catalysis and photocatalysis, renewable energy conversion and storage, chemical sensing, opto-electronics, and flexible electronics. In this review, we give an overview of the current state-of-the-art in ALD-based nanoscale semiconductor research including the already demonstrated and future applications.
Development of the Solar Neutron TRACking (SONTRAC) Concept

Department of Physics, George Washington University, Washington, DC, USA NASA Goddard Space Flight Center, Greenbelt, MD, USA Catholic University, Washington, DC, USA University of Maryland, Baltimore County, Baltimore, MD, USA Space Science Center, University of New Hampshire, Durham, NH, USA ECE Department, College of Engineering and Physical Science, University of New Hampshire, Durham, NH, USA †No longer affiliated with NASA or CRESST as of May 2021 E-mail: john.g. mitchell@nasa.gov
Autonomous methane seep site monitoring offshore Western Svalbard: Hourly to seasonal variability and associated oceanographic parameters

Abstract. Improved quantification techniques of natural sources is needed to explain variations in atmospheric methane. In polar regions, high uncertainties in current estimates of methane release from the seabed remain. We present two unique 10 and 3 months long time-series of bottom water measurements of physical and chemical parameters from two autonomous ocean observatories deployed at separate intense seabed methane seep sites (91 and 246 m depth) offshore Western Svalbard from 2015 to 2016. Results show high short term (100–1000 nmol L-1 within hours) and seasonal variation, as well as higher (2–7 times) methane concentrations compared to previous measurements. Rapid variability is explained by uneven distribution of seepage and changing ocean current directions. No overt influence of tidal hydrostatic pressure or water temperature variations on methane concentration was observed, but an observed negative correlation with temperature at the 246 site fits with hypothesized seasonal blocking of lateral methane pathways in the sediments. Negative correlation between bottom water methane concentration/variability and wind forcing, concomitant with signs of weaker water column stratification, indicates increased potential for methane release to the atmosphere in fall/winter. We highlight uncertainties in methane inventory estimates based on discrete water sampling and present new information about short- and long-term methane variability which can help constrain future estimates of seabed methane seepage.
The all-particle cosmic ray energy spectrum measured with HAWC

Thanks to recent technological development, a new generation of cosmic ray experiments have been developed with more sensitivity to study these particles in the primary energy interval from 10 TeV to 1 PeV, such as HAWC. Due to its design and high altitude, the HAWC gamma-ray and cosmic ray observatory can provide a bridge between the data from direct and indirect cosmic ray detectors. In 2017 the HAWC collaboration published its first result on the total energy spectrum of cosmic rays, which covers the range from 10 to 500 TeV. This work updates the previous result by extending the energy interval of the measured all-particle cosmic-ray energy spectrum up to 1 PeV. The energy spectrum was obtained from the analysis of two years of HAWC’s data using an unfolding method. We employed the QGSJET-II-04 model for the energy calibration and the spectrum reconstruction. The results confirm the presence of a knee like feature at tens of TeV, as previously reported by the HAWC collaboration in 2017.
What is B-Cell Acute Lymphoblastic Leukemia ?

As a result of various mutations expressing ALL and the large age range affected by the disease, additional research is necessary for the development of treatment options that considers the genotype, phenotype, and risks involved for individual patients.1 Individualized treatment approaches vary, but consistently emphasize remission-induction therapy followed by intensification therapy and continuation treatment to maintain remission.1,7,8
Caractérisation d'écoulements plasma sub- et supersoniques par spectroscopie d'émission : application au rayonnement de rentrée terrestre

During planetary atmospheric entries, thermochemical non-equilibrium processes in the shock layer limit the reliability of aerothermal environment prediction. To improve prediction accuracy, non-equilibrium kinetic models are being developed. These models are experimentally assessed through the comparison with well characterized non-equilibrium experiments. For this purpose, the present work is dedicated to the thermodynamic characterization of non-equilibrium in high enthalpy reactive flows. Conversely to common studies that employ short duration facilities to investigate shock layer kinetics, we will assess the possibility of producing significant departure from equilibrium using radio-frequency and microwave stationary plasma flows, including supersonic plasma flows where vibrational non-equilibrium is strongly expected. Suitable spectroscopic diagnostics have been applied allowing future comparisons to be made between the microscopic description of the experiments and theoretical non-equilibrium models.
Using Artificial Intelligence-based models to predict the risk of Mucormycosis among COVID-19 Survivors: An Experience from India

Introduction: India reported a severe public health challenge not only due to the COVID-19 outbreak but also the increasing number of associated mucormycosis cases since 2021. This study aimed at developing artificial intelligence-based models to predict the risk of mucormycosis among the patients at the time of discharge from the hospital. Methods: The dataset included 1229 COVID-19 positive patients, and additional 214 inpatients, COVID-19 positive as well as infected with mucormycosis. We used logistic regression, decision tree, and random forest, and the extreme gradient boosting algorithm. All our models were evaluated with 5-fold validation to derive a reliable estimate of the model error. Results: The logistic regression, XGBoost, and random forest performed equally well with AUROC 95.0, 94.0, and 94.0 respectively. This study also determined the top five variables namely obesity, anosmia, de novo diabetes, myalgia, and nasal discharge, which showed a positive impact on the risk of mucormycosis. Conclusion: The developed model has the potential to predict the patients at high risk and thus, consequently initiating preventive care or aiding in early detection of mucormycosis infection. Thus, this study holds potential for early treatment and better management of patients suffering from COVID-19 associated mucormycosis.
Expected Minimum Delay Based Routing (EMDBR) Protocol in Vehicular Adhoc Networks (VANETs)

VANETs are a very important and promising research area of modern time. Maximum people are used vehicles per day. Hence there is an urgent need to make the Vehicle Network modern, more effective and most efficient. Query latency is directly proportional to the distance between the source of the problem and remote vehicle or data server; therefore, authors endeavour to decrease the distance between the source of data and destination of data using cache technique. The vehicles have no memory space problem so cache data replacement not issue for new data. We are designing a Protocol which is useful for both Vehicle to vehicle communication and Vehicle to infrastructure. Help this protocol we reduce the query delay as well as minimize overhead on server.
Numerical Simulations Applied to Energy Efficiency for Buildings with Lattice Boltzmann Method

Convective heat transfer coefficients are often arbitrarily fixed in building energy simulations. This study aims to determine the convective heat transfer coefficients on the floor, the walls and the ceiling of a room with underfloor heating. To conduct this study, natural convection induced by the temperature gradient between the bottom and upper walls within square enclosure has been studied. The upper wall is brought to a sinusoidal temperature to represent its daily change. Different Rayleigh number values are considered here. The study has been carried out by solving numerically momentum and energy equations with the Boussinesq approximation. The governing equations have been solved using the Lattice Boltzmann Method. The study has been carried out for Rayleigh numbers in the range 10 ≤ Ra ≤ 106, while Prandtl number and aspect ratio are kept constant at 0.71 and 1, respectively. The numerical results in the form of average Nusselt number and gain of the time-mean Nusselt number, are presented in this study.