Miracle-dz/UniFAR-FTUs huggingface dataset:
A Normalized Distance Test for Co‐Determining the Completeness Magnitude and b‐Value of Earthquake Catalogs

The spatial‐temporal variations of b‐value in the Gutenberg‐Richter's relation are understood as stress meter and premonitory indicator of strong events. The characterization of the Gutenberg‐Richter's relation is complicated by the difficulty of identifying the completeness magnitude Mc, since its inaccurate estimate may lead to biased conclusions on b‐value. Therefore, many methods have been proposed to estimate b‐values and their changes, but no agreement has been reached on which is the most appropriate algorithm. Here a principled statistical framework is presented for discerning and quantifying variations in the Gutenberg‐Richter Law on empirical data. A new approach, called Normalized Distance (ND) test, is proposed, combining maximum‐likelihood estimates with a goodness‐of‐fit test and bootstrap resampling. The proposed method is evaluated on synthetic data and compared with the most used approaches. The main result is that the ND test provides better estimates of Mc and b‐value respect to all other methods. Finally, the same algorithms applied to the most recent Italian sequence provide contradictory results, indicating that detected b‐value fluctuations may be apparent.
Phosphorus addition affects soil nitrogen dynamics in a nitrogen‐saturated and two nitrogen‐limited forests

Phosphorus (P) availability can affect nitrogen (N) dynamics in forest soil, and this effect might depend largely on the soil N status of forest ecosystems. So far, however, this view has not been well tested among forests with contrasting N status. Here, we used a 6‐year experiment with additions of N and P to evaluate the effects of P availability and its interaction with N availability on soil N dynamics in one N‐saturated and two N‐limited tropical forests in southern China. Soil inorganic N concentrations and rates of N mineralization, nitrification, nitrous oxide (N2O) emission and nitrate leaching were measured. Our results showed that addition of P alone changed soil N dynamics in the N‐saturated forest only; it accelerated rates of soil N transformation and decreased rates of N2O emission and nitrate leaching, but had no significant effects on N dynamics in the two N‐limited forests. Furthermore, compared with the addition of N alone, addition of both N and P caused significant increases in the rates of net N mineralization and nitrification and a significant decrease in N2O emission in the two N‐limited forests. Our results suggest that P availability stimulates soil N dynamics only when the ecosystem is saturated with N or there is considerable N deposition.
Qualitative studies on body-based interventions for refugees: a meta-synthesis

ABSTRACT Refugees and asylum seekers often experience violent conflict, profound loss, and exposure to physical, sexual, and relational traumas. Psychotherapy approaches that involve the body and movement can address embodied trauma and other mental health concerns with culturally and linguistically adaptable interventions. This meta-synthesis examines 11 qualitative and case studies published since 2014 on the use of body-based interventions with refugees. The synthesis employs meta-ethnographic methodology and identifies themes related to three categories: considerations for clinicians and treatment, intervention elements, and reported therapeutic outcomes. Themes for clinicians and treatment included: cultural competence, language barriers, attending and attunement, and barriers to treatment. Intervention elements emphasised in the studies were safety, ritual, metaphor, and embodiment, while reported therapeutic outcomes consisted of here and now presence, freedom of expression, increased bodily awareness, improved physical health, and improved emotional experiencing. Suggestions for future research and clinical practice conclude the paper.
Crystal structure of bis(1,3-bis(diphenylphosphino)propane-κ2P,P′)silver(I) trifluorosulfonate–methanol (1:0.5), [Ag(C27H26P2)]SO3CF3⋅0.5CH3OH

Abstract C55.50H54AgF3O3. 50P4S, triclinic, P1̅ (no. 2), a = 11.7859(10) Å, b = 12.8900(11) Å, c = 18.8971(17) Å, α = 109.742(2)°, β = 92.891(1)°, γ = 100.998(1)°, V = 2631.9(4) Å3, Z = 2, Rgt(F) = 0.0405, wRref(F2) = 0.1129, T = 298(2) K.
Investigating the Relationship Between Information Literacy and Social Media Competence Among University Students

Although the current landscape in education emphasizes the importance of developing students’ information literacy in formal education settings, little attention has been paid to information literacy within the context of social media use. This study investigated the relationship between information literacy and social media competence (SMC) among 1843 university students. This was done in order to increase knowledge of the components that may be important for preparing university students to be information literate citizens in social media environments. Students’ information literacy and SMC were measured by the Student Information Literacy Test and the SMC-CS scale respectively. Correlation and regression analyses were utilized to explore the relationship between university students’ information literacy and their SMC. The results showed that university students’ ability to utilize information technology to solve problems, and their sense of responsible behavior in cyberspace, are the most critical factors in predicting students’ SMC. Based on the findings, theoretical and practical implications are discussed in terms of enhancing university students’ information literacy and SMC.
Antecedents and consequences of user engagement in smartphone travel apps

Purpose This study aims to test the effect of system quality, information quality and service quality on user engagement and its effect on smartphone travel apps’ satisfaction, love and behavioral intentions. Design/methodology/approach Using the self-selection sampling technique, data was collected from 417 respondents recruited via Amazon Mechanical Turk. Data was subjected to partial least squares based structural equation modeling. Findings Results indicate that system quality, information quality and service quality have a significantly positive impact on user engagement with smartphone travel apps. Moreover, user engagement has a positive and significant impact on smartphone app satisfaction, smartphone app love and behavioral intentions. Originality/value This is the first study to integrate DeLone and McLean (2003) updated information system success model and stimulus-organism-response model to propose a holistic model of user’s engagement with smartphone travel apps.
Mobile Communication and Seniors: An Exploratory Study on Their Consumption of Apps

Abstract Smartphones have become indispensable elements of 21st-century society. However, these technological changes do not impact all groups equally, and age continues to be a clear determinant. The objective of the present work is to analyze the senior collective's level of adoption and consumption of mobile applications. After an intensive revision of the literature, the most important models and variables related to the adoption and innovation process were found. Then, a qualitative study was conducted through 5 focus groups and 11 in-depth interviews, with 53 participants between 60 and 78 years old located in Madrid. The results provide an update about the use of apps and the role of factors such as utility, user friendliness. Moreover, the results show what apps characteristics are needed for seniors to use apps and motivate faster and better integration into society and their active ageing.
Warming effects on wood decomposition depend on fungal assembly history

Climate warming has the potential to drive changes in fungal community development and dead wood decomposition, but our understanding of this process is obscured by complex interactions between temperature and multiple other factors. A pivotal factor driving decay dynamics is fungal assembly history, yet its response to elevated temperature is poorly understood. We investigated the combined effect of warming and assembly history on community composition, respiration and decomposition using experimental communities of wood‐decaying fungi on spruce wood. Assembly histories were assigned to microcosms under normal and elevated temperatures in a factorial design. Both temperature and assembly history influenced wood mass loss and respiration. Temperature was the most important factor, but the effects of warming on decomposition varied greatly with fungal assembly history. Depending on which fungal species colonized first, warming of 5°C increased wood mass loss by 7%–57% after 9 months. The large variation in decomposition response to warming resulted from differential responses in the growth of initial colonizers (pre‐inoculated) and their competitive ability, resulting in different decomposer communities. Synthesis. Our study demonstrates that temperature and assembly history jointly determine deadwood decomposition and fungal community composition under controlled laboratory conditions. Further investigations are needed to confirm these results under natural conditions. Nevertheless, our findings highlight the importance of considering interactions between priority effects and climate factors to understand forest carbon feedbacks in the context of climate change.
Understanding young adult Muslim and Christian attitudes toward queer identity: A Canadian and UK comparison

This article utilises data from two parallel mixed-methods projects to examine attitudes to queer identity among heterosexual Muslim and Christian young adults aged between 18 and 25 in Canada and the UK. Drawing on questionnaires, interviews and video diaries, our analysis revealed the enormous complexity regarding how participants made sense of their, largely contextually mediated, attitudes. A qualitative approach enabled us to carefully consider how these attitudes are forged, formulated and embodied, offering greater nuance and detail compared with attitudinal approaches focused solely on quantitative data. Responses by these young Muslim and Christian participants explore the fluidity and movement in the attitudes expressed, further emphasising complexity.
Careers advancement of women: Applying a multi-level relational perspective in the context of Turkish banking organisations

This article investigates the question of why women remain underrepresented in management positions despite their increasing presence in the Turkish banking sector context. By using an integrative framework that brings together the relational and institutional perspectives, this article seeks to understand how macro-level contextual influences reflect on meso-organisational processes and practices, which in turn influence women’s micro-individual career trajectories. This article explores the careers experiences of 49 female banking professionals from three distinct banking organisations (Turkish, western and Islamic). The findings reveal that women’s limited representation at managerial level is an outcome of the interplay between macro-, meso- and micro-level issues. At the macro-level, the article highlights religion-based fragmented social structure as a key factor in the socio-cultural context of Turkey. At the meso-level, the analysis of the three different cases identifies factors relevant to both western and Middle Eastern societal contexts. At the micro-level, the analysis highlights how women’s perceptions of macro-level barriers change depending on their organisational context, emphasising the interrelatedness between these three levels. The article contributes to women’s career literature by providing the Turkish perspective and introducing novel insights into the interplay between societal forces, organisational practices and individuals’ perceptions.
On the Kinetic Energy Driven Superconductivity in the Two-Dimensional Hubbard Model

We investigate the role of kinetic energy for the stability of superconducting state in the two-dimensional Hubbard model on the basis of an optimization variational Monte Carlo method. The wave function is optimized by multiplying by correlation operators of site off-diagonal type. This wave function is written in an exponential-type form given as ψλ=exp(−λK)ψG for the Gutzwiller wave function ψG and a kinetic operator K. The kinetic correlation operator exp(−λK) plays an important role in the emergence of superconductivity in large-U region of the two-dimensional Hubbard model, where U is the on-site Coulomb repulsive interaction. We show that the superconducting condensation energy mainly originates from the kinetic energy in the strongly correlated region. This may indicate a possibility of high-temperature superconductivity due to the kinetic energy effect in correlated electron systems.
Identification of a three-gene signature associated with immune infiltration to distinguish follicular thyroid cancer and adenoma: an integrated bioinformatic analysis

Background Follicular thyroid cancer (FTC), accounting for about 15% of all thyroid cancers, was characterized by a more invasive nature and earlier hematogenous spread. The distinction between FTC and follicular thyroid adenoma (FTA) remained challenging for clinical scientists due to their highly similar cytological features at present, and frequently led to potentially unnecessary surgical procedures. The present study aimed to identify potential new biomarkers to improve diagnosis. Methods Three GEO datasets (GSE82208, GSE15045, and GSE29315) were downloaded to screen differentially expressed genes (DEGs) between FTC and FTA. GO and KEGG enrichment analysis were explored by ClusterProfiler package. A protein-protein interaction (PPI) network was established and hub genes were selected. Multivariate stepwise logistic regression analysis and receiver operating characteristic (ROC) analysis were used to construct and evaluate a gene signature model for differential diagnosis. Diagnostic efficacy of the model was further confirmed in an independent dataset GSE27155. CIBERSORT was used to characterize 22 infiltrating immune cell fractions of FTC and FTA samples. Results After gene integration, a total of 210 DEGs (55 upregulated and 155 downregulated) were identified, which were enriched in immune or cancer-related biological processes and pathways, such as cytokine-cytokine receptor interaction, fluid shear stress and atherosclerosis, and IL-17 signaling pathway. Seven hub genes were selected from PPI analysis. A three-gene signature (FOS, IL1B, and TOP2A) was constructed to distinguish FTC and FTA, with an area under the curve (AUC) of 0.839. Diagnostic efficacy of the signature was further conformed in an independent dataset GSE27155 with an AUC of 0.862. Moreover, the gene signature was associated with CD8 T-cell, which was significant different in FTC compared to FTA. Conclusions This study identified potential crucial genes and pathways that might be involved in the pathophysiology of FTC. Especially, a three-gene signature with diagnostic value was development. Furthermore, the landscape of immune infiltration in FTC was explored for the first time. The results would promote our understanding about the molecular mechanism of FTC development and provide potential target genes for differential diagnosis.
Fear, Psychosomatic Symptoms and Satisfaction of Primary Healthcare Workers during the First Wave of COVID-19 Pandemic in Rivers State Nigeria: A Descriptive Cross-sectional Study

Introduction: Since the onset of COVID-19 pandemic there has been concerns about the imminent collapse of the health system if healthcare workers are physically, mentally, and socially affected to the point where service delivery is compromised. Therefore, this study investigated the fear, psychosomatic symptoms, and satisfaction of the Primary Healthcare Workers (PHCWs) during the first wave of the COVID-19 pandemic in Rivers State Nigeria. Original Research Article Edet et al.; JAMMR, 33(3): 48-54, 2021; Article no.JAMMR. 66147 49 Methods: A facility cross-sectional survey was conducted involving the primary healthcare workers. Descriptive analysis of mean with standard deviation were reported for continuous variables, frequency and percentage were used to report categorical variables. Results: A total of 412 PHCWs participated in the study (mean age: 39.5±7.5). 223 (54.4%) were sure of going to work, while 260 (63.4%) were afraid of contracting the COVID-19 virus. However, 294 (71.7%) were not stigmatized and 256 (62.4%) were satisfied with their capacity for work. Also, 333 (81.2%), 357(87.3%), and 271(66.6%) were not satisfied with, transportation, money to meet their daily needs, and work environment, respectively. Perceived psychosomatic symptoms by respondents were chest pain (50.0%), stomach upset (38.0%), lump in the throat (40.0%), no feeling of hunger (52.0%), and shortness of breath (32.0%). Anxiety and stress symptoms experienced were inability to concentrate (38.2%), got angry easily (24.9%), worried (48.5%), low mood, anxiety, or depression (24.1%) and afraid of encountering security personnel on their way to work (67.6%). Conclusions: We observed perceived fears, psychosomatic, anxiety, and stress symptoms, as well as low satisfaction among the primary healthcare workers. We suggest that the government and health care agencies should put in place measures that will improve the psychological wellbeing and mental health of the PHCWs during the pandemic.
Identification of Structural Changes in Labor Productivity in Russia

–This article aims to study long-term changes in labor productivity in the Russian economy. The aim of the study is an empirical estimation of structural changes in labor productivity in Russia. To achieve the goal, the methods of statistical, descriptive and econometric analysis were used. The informational basis for the study was the data on labor productivity of the Organization for Economic Cooperation and Development (OECD), the Unified Archive of Economic and Sociological Data (UAESD), the International Labor Organization (ILO) and the Federal State Statistics Service of the Russian Federation. In the course of the study, the following tasks were consistently solved: firstly, methods for identifying structural changes have been systematized; secondly, empirical data, tools and research methods have been described; thirdly, the identification of structural changes in labor productivity in Russia (for the period 2003-2018) has been carried out. The results of econometric analysis showed that structural changes in labor productivity in Russia took place in the second quarter of 2008: its average annual growth rate was 5.96% in 2003-2008 and only 0.27% in 2008–2018. The structural changes in labor productivity is associated with the negative impact on the Russian economy of external shocks: the global financial crisis of 2008–2009 and economic sanctions imposed on Russia in 2014. Keywords—labor productivity, structural changes identification, Russia
A new method for current–voltage curve prediction in photovoltaic modules

In this work, a new method for obtaining the current–voltage curve for crystalline silicon and thin-ﬁlm ﬂat panels is presented. It is based on the single-diode model, with a variable shunt resistance and series resistance. New expressions for the shunt resistance and open circuit voltage as a function of the temperature and irradiance are deduced. Besides, a procedure to translate the series resistance to arbitrary conditions is proposed. The diode ideality factor and shunt resistance are obtained by optimization. The rest of the parameters that appear in the current–voltage curve are obtained from the module measurements by means of theoretical expressions. The procedure for obtaining the current–voltage curve under arbitrary operating conditions is also described. The results obtained with the developed model are compared with experimental measurements in cadmium telluride and amorphous silicon modules, and with results published in the literature for other technologies. The model faithfully reproduces the experimental values. For all the modules, the root mean square error for the maximum power is lower than 2% (below 1.5% in most cases). These errors are lower than those reported in the literature for other models. In particular, the results are signiﬁcantly more exact in the case of thin-ﬁlm modules.
An inventory of the foliar, soil, and dung arthropod communities in pastures of the southeastern United States

Abstract Grassland systems constitute a significant portion of the land area in the United States and as a result harbors significant arthropod biodiversity. During this time of biodiversity loss around the world, bioinventories of ecologically important habitats serve as important indicators for the effectiveness of conservation efforts. We conducted a bioinventory of the foliar, soil, and dung arthropod communities in 10 cattle pastures located in the southeastern United States during the 2018 grazing season. In sum, 126,251 arthropod specimens were collected. From the foliar community, 13 arthropod orders were observed, with the greatest species richness found in Hymenoptera, Diptera, and Hemiptera. The soil‐dwelling arthropod community contained 18 orders. The three orders comprising the highest species richness were Coleoptera, Diptera, and Hymenoptera. Lastly, 12 arthropod orders were collected from cattle dung, with the greatest species richness found in Coleoptera, Diptera, and Hymenoptera. Herbivores were the most abundant functional guild found in the foliar community, and predators were most abundant in the soil and dung communities. Arthropod pests constituted a small portion of the pasture arthropod communities, with 1.01%, 0.34%, and 0.46% pests found in the foliar, soil, and dung communities, respectively. While bioinventories demand considerable time, energy, and resources to accomplish, the information from these inventories has many uses for conservation efforts, land management recommendations, and the direction of climate change science.
Antibacterial activities of synthesised Zno nanoparticles applied on reactive dyed batik fabrics

Abstract Batik is an Indonesian traditional cloth which has been recognised as an Intangible Cultural Heritage of Humanity by UNESCO for more than a decade. Batik cloth is popular among Indonesian people for daily use, both for formal and informal occasions. Commonly, batik cloth is made from cotton, which has many advantages, however prone to bacterial growth, particularly in the tropical climate. Therefore, it is important to develop batik cloth with antibacterial properties. The antibacterial properties of batik cloth were achieved by applying ZnO nanoparticles as antibacterial agent. The nanoparticles were synthesised using precipitation-sonication method. The formed ZnO nanoparticles were in an average particle size of 54.76 nm and 99.77% ZnO content. The batik making process utilized a synthetic reactive dye of remazol-turquoise blue. The effect of process sequence, the level of antibacterial properties, the morphology of the ZnO coated fabric, and the effect of the application of nanoparticle on the dyeing process were investigated. The results showed that ZnO nanoparticle application on the batik fabric led to antibacterial properties. The process sequences in adding the ZnO nanoparticles were confirmed to significantly affect the antibacterial effectivity and the colour strength. The application of ZnO nanoparticles did not affect the colour fastness to washing as the test showed similar value to that of without ZnO treatment. In addition, the application of ZnO nanoparticles affects the mechanical properties by increasing the tensile strength and decreasing the elongation at break. The application of ZnO after batik making process was shown to have a greater effect on the mechanical properties.