Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis and Charge Storage Properties of Hierarchical Niobium Pentoxide/Carbon/Niobium Carbide (MXene) Hybrid Materials

Orthorhombic niobium pentoxide (T-Nb2O5) offers high capacitance and fast charging–discharging rate capabilities when used as an electrode material for Li-ion capacitors. A homogeneous distribution of T-Nb2O5 nanoparticles in a highly conductive matrix represents a promising approach to maximize its energy and power densities. Here we report a one-step CO2 oxidation of two-dimensional (2D) Nb2CTx, a member of the MXenes family of 2D transition metal carbides, which leads to a hierarchical hybrid material with T-Nb2O5 nanoparticles uniformly supported on the surface of Nb2CTx sheets with disordered carbon. The oxidation temperature, duration, and CO2 flow rate determine the T-Nb2O5 crystallite size as well as the structure, composition, and the charge storage properties of the hybrid material. Fifty micrometer thick electrodes of the hybrid material exhibit high capacitance (330 C g–1 and 660 mF cm–2 at a charge–discharge time of 4 min) and good cycling performance in a nonaqueous lithium electrolyte. The .
An Investigation into Anxiety about the Science Lesson Through a Mixed Model

This study was conducted with a total of 158 students from 6th, 7th and 8th grades in two different secondary schools located in Siirt in the academic year of 2020-2021 to examine students’ anxiety about the science lesson in terms of various variables and to determine the reasons for science anxiety. The study was conducted on the basis of a mixed design. While quantitative data were collected using the “Science Anxiety Scale (SAS)” and qualitative data were collected using the “Anxiety Form”. Through the SAS, the anxiety levels of the students were determined and the relationship between the scale anxiety score and gender, grade levels, income levels and type of school was examined. The data collected by the SAS were analysed using the SPSS 26 package program. The content analysis of the data collected with the anxiety form was carried out. It was determined in the quantitative part of the research that there is no significant relationship between science anxiety and gender, 6th-grade students have higher science anxiety in the environmental sub-dimension compared to 7th and 8th-grades, and there is a significant relationship between family income level and type of school and anxiety scores, science anxiety decreased as the income level increased, and students studying at private school had less science anxiety. Based on the qualitative data of the study, anxieties of the study are mainly related to the science lesson, notably related to the exam, rote learning, hardness of lessons, the anxiety of falling behind in the class, and the homework. However, while some students have anxiety about the attitude and questions of teachers, others are instinctively anxious about giving wrong or no answers arising from attitudes and morale. While 3% of the students are anxious about everything, 14.9% are anxious about nothing. Their responses to the items of the questionnaire and the anxiety form are close in proportion, so it has been concluded that the quantitative and qualitative data of the study support each other.
High Levels of Genetic Divergence Detected in Sacramento Perch Suggests Two Divergent Translocation Sources

Translocation has been used to conserve imperiled fishes and create new fisheries. One species for which translocation has played a significant role is the Sacramento Perch Archoplites interruptus. Extirpated from its native range, the Sacramento Perch has been introduced throughout California and Nevada through multiple translocation events, though historical records are incomplete. Recent assessments of eight previously uncharacterized Sacramento Perch populations have prompted reevaluation of range-wide population structure to inform a genetic management plan for long-term resiliency of this species. We examined Sacramento Perch genetic diversity and population structure across the current range of the species using 12 microsatellite markers. We analyzed samples from the eight uncharacterized populations and seven populations previously studied by Schwartz and May (2008). Bayesian clustering supported two distinct clusters of Sacramento Perch herein designated as A and B. Within these two clusters we detected hierarchical substructure, likely due to genetic drift after population founding. Genetic differentiation among populations within the same cluster was relatively low (FST= 0.023–0.176), while differentiation among populations from different clusters was higher (FST= 0.190–0.320). The existence of two strongly divergent genetic clusters in Sacramento Perch suggests two distinct translocation sources, and we recommend that these clusters be treated as genetic management *Corresponding author: amdrauch@ucdavis.edu Received September 17, 2020; accepted January 4, 2021 This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Transactions of the American Fisheries Society 150:375–387, 2021 © 2021 The Authors. Transactions of the American Fisheries Society published by Wiley Periodicals LLC on behalf of American Fisheries Society. ISSN: 0002-8487 print / 1548-8659 online DOI: 10.1002/tafs.10296
Modeling Workplace Incivility as a Social Process Towards Sustainable Workforce in the Malaysian Context

Twenty years since the concept of workplace incivility has been introduced, research has been conducted in a variety of directions. While the literature has been expanding and it has been reported that as many as 96% employees have experienced workplace incivility and 99% have seen it, we still do not know how employees interpret of workplace incivility. Given that such an interpretation of the social process can affect the future thought and behavior of people, this information is important to understand workplace incivility beyond behavioral description. Although we have a comprehensive conceptual understanding of workplace incivility, without understanding the employees’ beliefs about incivility, we cannot effectively develop an integrative model of workplace incivility. The aim of this study is to develop a model on workplace incivility as a social process that includes interaction during and after the occurrence of incivility at the workplace. In addition, this research also aims to create awareness about workplace incivility; as well as employees’ preferences on how to address incivility at work and who should handle it. This qualitative study will investigate workplace incivility to understand incivility from the perspective of employees, refine the theoretical understanding of workplace incivility construct, and collecting data to develop the integrative model of workplace incivility. Employees will be asked to answer open-ended survey questions about the characteristics of workplace incivility and questions about why it happens. Responses will be analyzed with the phenomenological method. This research can also ease the development of practical strategies to manage and prevent workplace incivility. Therefore, the findings of this study can serve as a basis for specific prevention and intervention techniques that can be built in the future. This is because, it is important to uncover effective strategies to manage workplace incivility to improve employee well-being, which in turn would influence organizational performance.
Low-Rank Nonlocal Representation for Remote Sensing Scene Classification

The nonlocal mechanism (NM) has shown its effectiveness in many real-world applications. However, it is usually criticized for its costly computation complexity in time and space, which are both <inline-formula> <tex-math notation="LaTeX">$\mathscr {O}(H^{2}W^{2})$ </tex-math></inline-formula>, where <inline-formula> <tex-math notation="LaTeX">$H\times W$ </tex-math></inline-formula> is the spatial dimension of input feature maps in height and width. In this letter, we first show that the NM can be expressed as a low-rank representation by theory. Then we propose a down-to-earth low-complexity global context acquisition mechanism, termed as the low-rank nonlocal representation (LNR), whose complexity in time and space are both approximatively <inline-formula> <tex-math notation="LaTeX">$\mathscr {O}(HW)$ </tex-math></inline-formula>. LNR is a general module that can be deployed on an arbitrary convolutional neural network (CNN) hierarchy for any visual recognition tasks. To demonstrate its superiority, experiments are carried out on four standard remote sensing scene classification benchmarks. Experimental results show that our proposed LNR can significantly reduce the computation cost by boosting the performance gain. Implementing LNR on the classical ResNet, in particular, can reduce at most 3.93 M model parameters.
U‐Pb Geochronological and Thermochronological Time–Temperature Constraints of 40Ar/39Ar Hornblende Reference Material HB3gr

Hornblende from the Lone Grove Pluton, Llano Uplift, Texas, has served as an irradiation reference material in 40Ar/39Ar studies for decades. In order to evaluate the apparent age bias that currently exists between the U‐Pb and 40Ar/39Ar systems, zircon and titanite were dated by isotope dilution‐thermal ionisation mass spectrometry (ID‐TIMS) from the same rock from which the hornblende 40Ar/39Ar reference material HB3gr is derived. Zircon U‐Pb data indicate initial crystallisation at 1090.10 ± 0.16 Ma (2s), a date that is 1.7% older than the accepted K‐Ar date (1072 ± 14 Ma, 2s) for HB3gr; an offset that exceeds the typical 0.5–1% bias between the two systems, though remaining within uncertainty due to the large uncertainties in the 40K decay constant. Zircon data are presented using both EARTHTIME tracers ET535 and ET2535 and are statistically indistinguishable. Single grain titanite analyses range between 1082 ± 0.75 and 1086 ± 0.81 Ma (2s) and are interpreted to record the subsequent cooling following crystallisation at rates between 30 and 50 °C Ma−1. This is supported by the observation that hornblende 40Ar/39Ar dates corrected for decay constant bias are resolvably younger than the zircon U‐Pb date and in good agreement with titanite U‐Pb dates, permitting the conclusion that both titanite U‐Pb and hornblende 40Ar/39Ar systems provide a record of cooling.
The nonlinear response of fine particulate matter pollution to ammonia emission reductions in North China

Recent Chinese air pollution actions have significantly lowered the levels of fine particulate matter (PM2.5) in North China via controlling emissions of sulfur dioxide (SO2) and nitrogen oxides (NO x ) together with primary aerosols, while the emissions of another precursor, ammonia (NH3), have not yet been regulated. This raises a question that how effective the NH3 emission controls can be on the mitigation of PM2.5 pollution along with the reduction of SO2 and NO x emissions. Here we use a regional air quality model to investigate this issue focusing on the PM2.5 pollution in North China for January and July 2015. We find that the efficiency of the PM2.5 reduction is highly sensitive to the NH3 emission and its reduction intensity. Reductions in the population-weighted PM2.5 concentration (PWC) in the Beijing–Tianjin–Hebei region are only 1.4–3.8 μg m−3 (1.1%–2.9% of PM2.5) with 20%–40% NH3 emission reductions, but could reach 8.1–26.7 μg m−3 (6.2%–21%) with 60%–100% NH3 emission reductions in January 2015. Besides, the 2015–2017 emission changes (mainly reduction in SO2 emissions) could lower the PM2.5 control efficiency driven by the NH3 reduction by up to 30% for high NH3 emission conditions, while lead to no change or increase in the efficiency when NH3 emissions become low. NO x emission reductions may enhance the wintertime PM2.5 pollution due to the weakened titration effect and can be offset by simultaneously controlling NH3 emissions. Our results emphasize the need to jointly consider NH3 with SO2 and NO x emission controls when designing PM2.5 pollution mitigation strategies.
Exploring how therapists engage in self-care in times of personal distress

ABSTRACT There is a dearth of research on counsellor self-care in times of personal stress. Working therapeutically with clients whilst facing personal difficulties may lead to stress and burnout for counsellors if adequate self-care is not implemented. This small-scale (n=3) in-depth qualitative study explored counsellor self-care in times of personal distress. The findings highlight lack of information and awareness of the impact of not implementing adequate self-care. None of the participants took any time off work during their times of personal distress and continued with their client work. The findings indicate the value of addressing self-care during training and within day-to-day practice as part of the routine process and content of supervision.
Model of Everyone is a Teacher Here: Solution to Build up Students’ Self-Confidence

Abstract : Self-confidence is an important aspect in dealing with learning processes at a university level. The current study aimed at qualitatively investigating the contributions of a learning model so-called “Everyone is a Teacher Here” (EITH) to the improvement of tertiary students’ self-confidence in learning. 30 students from Islamic Education Department at IAIN Curup were purposively engaged as the participants. Their self-confidence improvement was scrutinized using observation and in-depth interviews. The data revealed that EITH model was positively contributive to the improvement of students’ self-confidence in learning. In this respect, the students experienced improvements in terms of their courage to argue, ask, and answer questions. They also experienced improvements in terms of abilities to elaborate learning materials resting upon their confidence. The improvements of their confidence are also associated with the increases in learning responsibility and achievements. Keywords: self-confidence, learning, the model of everyone is a teacher here Abstrak : Rasa percaya diri adalah aspek penting dalam menghadapi proses pembelajaran di tingkat universitas. Penelitian saat ini bertujuan untuk menginvestigasi secara kualitatif kontribusi model pembelajaran "Everyone is a Teacher Here” (EITH) terhadap peningkatan kepercayaan diri mahasiswa dalam belajar. 30 orang mahasiswa dari Program Studi Pendidikan Agama Islam di IAIN Curup dilibatkan sebagai partisipan. Peningkatan kepercayaan diri mereka diteliti dengan menggunakan observasi dan wawancara mendalam. Data mengungkapkan bahwa model EITH memberikan kontribusi positif terhadap peningkatan kepercayaan diri mahasiswa dalam belajar. Dalam hal ini, para mahasiswa mengalami peningkatan dalam hal keberanian mereka untuk berargumen, bertanya, dan menjawab pertanyaan. Mereka juga mengalami peningkatan dalam hal kemampuan dalam menguraikan materi pembelajaran yang didasarkan pada kepercayaan diri mereka. Peningkatan kepercayaan diri mereka juga berasosiasi dengan peningkatan tanggung jawab dalam belajar dan hasil belajar mereka. Kata Kunci: rasa percaya diri, pembelajaran, model pembelajaran everyone is a teacher here
Where the Wild Things Are: understanding of emotions in a picture book

ABSTRACT Maurice Sendak’s picture book Where the Wild Things Are was investigated as a means of emotion recognition in preschool children. Sixty-six children and 60 adults participated in two tasks. The first was a book task, requiring identification of emotions in three target pictures, in three conditions. The visual condition presented the book with the text covered; the audio condition required listening to an audio recording of the book; in the combined condition participants were presented the book and audio recording simultaneously. The second was a traditional emotion recognition task. Children’s performance in the audio condition was poorer than the in other conditions. Children had difficulty identifying anger and happiness and the positive and negative valence of emotions in the audio condition compared to the other conditions. Our findings suggest that showing the pictures or reading and showing the pictures simultaneously can help children recognise intense emotions.
IN VITRO ANTIPLATELET AND ANTICOAGULANT ACTIVITY OF INDIGENOUS VEGETABLES FROM SOUTHERN THAILAND

Objective: Epidemiological studies have indicated that diets rich in fruits and vegetables help reduce the risk of cardiovascular diseases (CVDs). However, data about the antithrombotic activity of local vegetables is rare. The objective of this study was to evaluate antiplatelet and anticoagulantactivity in indigenous vegetables with high phenolic compounds collected from Southern Thailand.Methods: Five selected indigenous vegetables were crudely extracted by distilled water and 80% methanol. The extracts were screened for in vitroantiplatelet and anticoagulant activity at a concentration of 10 μg/μl. The antiplatelet activity was measured by inhibition of platelet adhesion tocollagen and thrombin-induced platelet aggregation, while the anticoagulant activity was assessed by the prothrombin time (PT) and activated partialthromboplastin time (APTT) tests.Results: Among the selected vegetables, the extracts of mon-pu (Glochidion perakense Hook.f.) and young cashew leaves (Anacardium occidentale L.)showed high antithrombotic properties. The highest antithrombotic activity was observed in the methanolic extract of mon-pu, which showed92.79±0.78% of platelet adhesion inhibition, 102.9±1.53% of platelet aggregation inhibition, and a prolonged APTT assay (48.92±0.94 s). Theprolonged APTT but normal PT results suggested that the extract could affect factors VIII, IX, XI, and XII of the intrinsic coagulation pathway.Conclusion: Our findings demonstrated antiplatelet and anticoagulation properties of indigenous vegetables from Southern Thailand. The multipotentialeffects of mon-pu extracts on antithrombosis evidently suggest that mon-pu can be considered as an excellent nutraceutical option in theprevention of thrombosis-related CVDs caused by different mechanisms.
Martensite Variant Identification For Shape Memory Alloys By Using Graph Neural Networks

Detailed microstructure evolution in shape memory alloys (SMAs) is typically studied by molecular dynamics (MD) simulations. However, the conventional post-processing tools for atomistic calculations, such as CNA and PTM, fail to identify distinct crystal variants and to reveal twin alignments in SMAs. In the current work, a powerful and efficient post-processing tool based on GraphSAGE neural network is developed, which can identify multiple phases in martensitic transformation, including the orthorhombic, monoclinic and R phases. Where the network was trained by the results of sets of temperatureand stress-induced martensitic transformation MD calculations. The accuracy and generality were also verified by the application to the cases which did not appear in the training dataset, such as unrecoverable nanoindentation process. The proposed method is rapid, accurate, and is ready to be integrated with any visualization tool for MD simulations. The outcome of the current work is expected to accelerate the pace of atomistic studies on SMAs and related materials.
#Mathathome during the COVID-19 Pandemic: Exploring and Reimagining Resources and Social Supports for Parents

During the COVID-19 pandemic, schools abruptly transitioned to emergency remote instruction. Consequently, expectations for parental involvement in school mathematics rose to unprecedented levels. We sought to understand the experiences of parents to reimagine possibilities for engagement in mathematics during and beyond the pandemic. Leveraging data from tweets using #mathathome and survey responses from parents, we identified who supported continued mathematics learning at home and explored the nature of the mathematics taught there. We found that Twitter and survey data sources described two largely distinct groups of those supporting parents to continue mathematics education at home, but similar findings emerged from analyses of each data source, suggesting that themes were common among different groups. Namely, we saw a commitment to continued mathematics learning and engagement with a range of mathematics topics. These topics mostly focused on elementary-level content, especially counting, through everyday activities/objects and mathematical sense-making. Most parents used resources provided by the school alongside resources they identified and provided on their own. School responses to emergency remote instruction were mostly asynchronous, and parents expressed a need for more opportunities to interact directly with their children’s teachers. We discuss what the mathematics education community might learn from these experiences to support parental engagement during and beyond periods of remote emergency instruction.
A Modern Look at GRIN, an Optimizing Functional Language Back End

GRIN is short for Graph Reduction Intermediate Notation, a modern back end for lazy functional languages. Most of the currently available compilers for such languages share a common flaw: they can only optimize programs on a per-module basis. The GRIN framework allows for interprocedural whole program analysis, enabling optimizing code transformations across functions and modules as well. Some implementations of GRIN already exist, but most of them were developed only for experimentation purposes. Thus, they either compromise on low-level efficiency or contain ad hoc modifications compared to the original specification. Our goal is to provide a full-fledged implementation of GRIN by combining the currently available best technologies like LLVM, and evaluate the framework's effectiveness by measuring how the optimizer improves the performance of certain programs. We also present some improvements to the already existing components of the framework. Some of these improvements include a typed representation for the intermediate language and an interprocedural program optimization, the dead data elimination.
The Combination of Building Greenery and Photovoltaic Energy Production—A Discussion of Challenges and Opportunities in Design

In the case of building surfaces, the installation of green roofs or green facades can be used to reduce the temperature of the environment and the building. In addition, introducing photovoltaic energy production will help to reduce CO2 emissions. Both approaches (building greenery and photovoltaic energy production) compete, as both of them are located on the exterior of buildings. This paper aims to give an overview of solutions for the combination of building greenery (BG) systems and photovoltaic (PV) panels. Planning principles for different applications are outlined in a guideline for planning a sustainable surface on contemporary buildings. A comprehensive literature review was done. Identified solutions of combinations were systematically analysed and discussed in comparison with additional relevant literature. The main findings of this paper were: (A) BG and PV systems with low sub-construction heights require shallow substrates/low growing plants, whereas in the case of the combination of (a semi)-intensive GR system, a distance of a minimum 60 cm between the substrate surface and lower panel edge is recommended; (B) The cooling effect of the greenery depends on the distance between the PV and the air velocity; (C) if the substrate is dry, there is no evapotranspiration and therefore no cooling effect; (D) A spectrum of different PV systems, sub-constructions, and plants for the combination of BG and PV is necessary and suitable for different applications shown within the publication.