Miracle-dz/UniFAR-FTUs huggingface dataset:
Path Loss Model for 3.5 GHz and 5.6 GHz Bands in Cascaded Tunnel Environments

An important and typical scenario of radio propagation in a railway or subway tunnel environment is the cascaded straight and curved tunnel. In this paper, we propose a joint path loss model for cascaded tunnels at 3.5 GHz and 5.6 GHz frequency bands. By combining the waveguide mode theory and the method of shooting and bouncing ray (SBR), it is found that the curvature of tunnels introduces an extra loss in the far-field region, which can be modeled as a linear function of the propagation distance of the signal in the curved tunnel. The channel of the cascaded straight and curved tunnel is thus characterized using the extra loss coefficient (ELC). Based on the ray-tracing (RT) method, an empirical formula between ELC and the radius of the curvature is provided for 3.5 GHz and 5.6 GHz, respectively. Finally, the accuracy of the proposed model is verified by measurement and simulation results. It is shown that the proposed model can predict path loss in cascaded tunnels with desirable accuracy and low complexity.
Does Agency Banking Trigger Financial Inclusion? Perspective of Residents in Rural Setting

Over decades, most transactions in Nigeria were largely conducted in cash. However, Central Bank of Nigeria’s cash-less policy introduction aimed at reducing cash-based transactions, decreasing and integrating financially excluded adult into the formal financial sector of the economy has altered financial transaction landscape. Pursuant to this goal of financial inclusion, measures such as agency banking, national financial literacy, mobile payment system were introduced. However, research has somewhat under-explored how agency banking platforms influence financial inclusion among adult rural dwellers that are perceived to be more excluded in formal financial sector. Therefore, this study empirically investigates influence of agency banking on financial inclusion among adult rural dwellers in rural communities. A sample of 320 potential respondents were determined statistically. Self-administered questionnaire designed in Likert-Scale format was used to collect data from respondents. Convenience and judgemental sampling techniques were used to recruit participants who agreed to take part in the study. Partial Least Square Structural Equation Modelling technique was applied in data analysis. Results show that agency banking has positive-significant correlation with saving consciousness and financial literacy; saving consciousness and financial literacy significantly and positively influence financial inclusion. The study discusses the theoretical, policy and managerial implications of the findings while highlighting possible areas for future research.
Collapse Capacity of Inelastic Single-Degree-of-Freedom Systems Subjected to Mainshock-Aftershock Earthquake Sequences

ABSTRACT This study investigated the collapse capacity of inelastic single-degree-of-freedom (SDOF) systems subjected to mainshock-aftershock earthquake sequences. A hysteretic model incorporating strength and stiffness deterioration was used to describe the inelastic behaviors of SDOF systems under seismic excitations. An ATC63 far-field record set was adopted as seed mainshock records to synthesize earthquake sequences. An extended IDA method was employed to calculate the collapse capacity of inelastic SDOF systems subjected to mainshock-aftershock earthquake sequences by scaling the earthquake sequence as a whole. An extensive parametric study was conducted for examining the effects of hysteretic model parameters and artificial earthquake sequences synthesized by different methods and with near-field and far-field mainshock earthquakes on system collapse capacity. Through comparing the collapse capacity for mainshock-aftershock earthquake sequences and that for mainshock earthquakes only, it is found that aftershocks can yield a significant reduction on the median collapse capacity for all systems and lead to an important increase on the dispersion of collapse capacity for the systems at most periods. Based on the parametric study results, empirical expressions were proposed to predict the aftershock-induced reduction and increase on the median and dispersion of collapse capacity, respectively.
The Impact of the Green Finance Reform and Innovation Pilot Zone on the Green Innovation—Evidence from China

This article uses the “Green Finance Reform and Innovation Pilot Zone” promulgated in 2017 as an example to construct a quasi-natural experiment and uses the difference-in-difference method to test the impact of the implementation of the “Green Finance Reform and Innovation Pilot Zone” on the green innovation activities. It was found that the policy promotes the quantity and quality of corporate green innovation. The mechanism test showed that policy promotes the R&D investment and expands the credit scale. The study further found that green finance policies enhance the green innovation of enterprises as government environmental regulation is strengthened. Finally, green innovation by state-owned enterprises is more strongly promoted in the pilot green finance reform and innovation zones, and green innovation by enterprises in non-polluting sectors is more sensitive to the policy, with a heterogeneous pattern of policy effects in eastern and non-eastern China. Therefore, green finance policies should be promoted to achieve an effective combination of financial resource allocation and corporate green innovation to promote the construction of ecological civilization.
Predicting the Geographical Distribution of Malaria-Associated Anopheles dirus in the South-East Asia and Western Pacific Regions Under Climate Change Scenarios

Malaria occurrence is highly related to the geographical distribution of Anopheles dirus (An. dirus) in the South-East Asia Region and Western Pacific Region (SEAR/WPR). Future climate change has been shown to alter the geographical distribution of malaria vectors. However, few studies have investigated the impact of climate change on the potential distribution of An. dirus in the SEAR/WPR. We considered future climate and land-use data under two climate change scenarios for Representative Concentration Pathways (RCP 4.5 and RCP 8.5) and population data from five Shared Socioeconomic Pathways (SSPs), by using three machine learning models, namely, Random Forest (RF), Boosted Regression Trees (BRT), and Maximum entropy (Maxent) to project the geographical distribution of An. Dirus and to estimate the exposed population. A pseudo-absence dataset was generated based on the relationships between model performance and the distance from the pseudo-absence point to the occurrence point in order to improve model accuracy for projection of the Environmentally Suitable Area (ESA) and exposed human population. The results show that the pseudo-absence data corresponding to the distance of 250 km are appropriate for modeling. The RF method ultimately proved to have the highest accuracy. The predicted ESA of An. dirus would mainly be distributed across Myanmar, Thailand, the southern and eastern part of India, Vietnam, the northern part of Cambodia, and the southern part of Laos. The future ESA is estimated to be reduced under the RCP 4.5 climate change scenario. In the 2070s under RCP 8.5, the reduction of ESA is even greater, especially in Thailand (loss of 35.49 10,000 square kilometers), Myanmar (26.24), Vietnam (17.52), and India (15), which may prevent around 282.6 million people from the risk of malaria under the SSP3 scenarios in the SEAR/WPR. Our predicted areas and potential impact groups for An. dirus under future climate change may provide new insights into regional malaria transmission mechanisms and deployment of malaria control measures based on local conditions in the SEAR/WPR’s.
The Impact of Cooperative Learning Method on the Oral Proficiency of Learners of the Training Program for English Tourist Guides

Oral proficiency is the core element of training courses for English tourist guides. This ability needs to be addressed in training program for English tourist guides. Cooperative learning method is widely used by educators as a teaching method, but rarely used to improve oral proficiency. A quasi-experimental design involving 60 participants was conducted to investigate and examine the effectiveness of cooperative learning method on the oral proficiency of learners in the English tourist guide training program. There were 30 learners in the control group and the experimental group, respectively. The experimental group adopted cooperative learning method, while the control group adopted traditional approach, in both of which pre-test and post-test were conducted. The results of the study showed that the impact of teaching with the cooperative learning method on the oral proficiency of learners of the training program for English tourist guides was higher than that of teaching with the traditional approach. The importance of the cooperative learning method in the training program for English tourist guides is highlighted as a reference for educational institutions.
Phase Turbulence Prediction Method for Line-of-Sight Multiple-Input–Multiple-Output Links Caused by Atmospheric Environment

The multiple-input–multiple-output (MIMO) phase of the received signal is the most important parameter in the line-of-sight MIMO (LOS MIMO) system. The MIMO phase turbulence often occurs in practical applications, and the LOS MIMO system cannot operate normally in severe cases. However, there is no practical MIMO phase prediction method presently. A tropospheric radio-duct during phase turbulence was observed using a mesoscale numerical weather prediction (NWP) model. In this study, a novel MIMO phase prediction method was proposed. In the method, the tropospheric refractivity profile was predicted using a mesoscale NWP model, and then MIMO phase was predicted by the parabolic equation model. The comparison of the predicted MIMO phases with the measured results shows good agreement. MIMO phase turbulence prediction method can provide support for LOS MIMO system performance prediction.
Corporate Social Responsibility, Sustainability Governance and Sustainable Performance: A Preliminary Insight

This conceptual paper aims to investigate corporate social responsibility (CSR) practises in the tourism sector. Drawing on the existing literature this study conceptualises the linkage between CSR, sustainability governance, and sustainable performance. Moreover, this study conceptualises three sub-dimensions of CSR. The integration of CSR in the tourism sector is significant and novel. An analytical review is conducted to present conceptual linkage and research implications. The finding implies that CSR positively influences the sustainable performance of organisations and sustainable governance plays a mediating role between relationships. This study provides important implications that help tourism industry practitioners to realise the significance of reducing environmental and social problems, which cause by tourism activities. Further, this study obtains support from institutional theory to explain the relationships of governance mechanism and CSR that leads to economic performance as well as create value for nature and the local community. Additionally, the future direction of research is provided that highlights some important avenues in the sustainability field.
Modern Pollen Assemblages From Lake Sediments and Soil in East Siberia and Relative Pollen Productivity Estimates for Major Taxa

Modern pollen–vegetation–climate relationships underpin palaeovegetation and palaeoclimate reconstructions from fossil pollen records. East Siberia is an ideal area for investigating the relationships between modern pollen assemblages and near natural vegetation under cold continental climate conditions. Reliable pollen-based quantitative vegetation and climate reconstructions are still scarce due to the limited number of modern pollen datasets. Furthermore, differences in pollen representation of samples from lake sediments and soils are not well understood. Here, we present a new pollen dataset of 48 moss/soil and 24 lake surface-sediment samples collected in Chukotka and central Yakutia in East Siberia. The pollen–vegetation–climate relationships were investigated by ordination analyses. Generally, tundra and taiga vegetation types can be well distinguished in the surface pollen assemblages. Moss/soil and lake samples contain generally similar pollen assemblages as revealed by a Procrustes comparison with some exceptions. Overall, modern pollen assemblages reflect the temperature and precipitation gradients in the study areas as revealed by constrained ordination analysis. We estimate the relative pollen productivity (RPP) of major taxa and the relevant source area of pollen (RSAP) for moss/soil samples from Chukotka and central Yakutia using Extended R-Value (ERV) analysis. The RSAP of the tundra-forest transition area in Chukotka and taiga area in central Yakutia are ca. 1300 and 360 m, respectively. For Chukotka, RPPs relative to both Poaceae and Ericaceae were estimated while RPPs for central Yakutia were relative only to Ericaceae. Relative to Ericaceae (reference taxon, RPP = 1), Larix, Betula, Picea, and Pinus are overrepresented while Alnus, Cyperaceae, Poaceae, and Salix are underrepresented in the pollen spectra. Our estimates are in general agreement with previously published values and provide the basis for reliable quantitative reconstructions of East Siberian vegetation.
Marathi Social Media Opinion Mining using XLM-R

Sentiment Analysis is one of the most important tasks for any language and a very important domain in Natural Language Processing which has shown remarkable progress recently. Popular and widely used languages like English, Russian and Spanish have a great availability of language models for these tasks and widely available datasets too. But the research in Low Resource Languages like Hindi and Marathi is far behind. The Marathi language is one of the languages mentioned in the 8th schedule of the constitution of India and is the third most spoken language in India which is mainly used in the Deccan region which includes Maharashtra and Goa. There has been low research for sentiment analysis approaches based on the Marathi text. Therefore, this project proposes use of XLM-RoBERTa (XLM-R) models that can be used for the opinion mining of the social media Marathi texts without using any translations. Not using translations will not only get better results but also an error free model trained over the target language only. The multilingual model XLM-R and its versions will be put under training over the Marathi tweets dataset after tokenizing using RoBERTa tokenizer for the purpose of opinion mining and classification. Authors aim at presenting the results of multiple XLM-R models over the Marathi tweets dataset for the task of opinion mining.
A Phenomenology of the Job-Related Experiences of Early Career Catholic Elementary School Principals

This qualitative phenomenology investigated the job-related experiences of early career Catholic elementary school principals (N = 13) in the Mideastern region of the United States. Data were collected from an introductory survey, semi-structured interviews, two focus groups, and a participant designed plan for professional development. The findings indicated that Catholic elementary principals in their early career are motivated by a calling to a vocation in Catholic school leadership as well as the ability to develop and implement a vision for their school. Principals reported being challenged by limited resources, balancing the demands of the position, and navigating relationships. Finally, principals believed they are supported by diocesan administrators in the areas of human resources and student issues, particularly if the concerns have legal implications.
Qualitative and Arts-Based Evidence from Children Participating in a Pilot Randomised Controlled Study of School-Based Arts Therapies

(1) Background: There is limited evidence on the impact of arts therapies as a tool for the prevention of mental health difficulties in childhood. This pilot randomised controlled study aimed to investigate the impact of arts therapies on children’s mental health and well-being; the qualitative and arts-based evidence is presented in this article. (2) Methods: Sixty-two children (aged 7–10) with mild emotional and behavioral difficulties were recruited across four primary schools and were randomly assigned to either art therapy, music therapy, dance movement therapy, or dramatherapy. All children were interviewed individually after their participation in arts therapies. (3) Results: Children verbally and artistically expressed that they experienced positive changes in their mental health and well-being, such as improved self-expression, safety, empowerment, hope, and optimism for the future. The arts were particularly important for expressing complex emotions and feelings that cannot be easily verbalised. Recommendations are provided to improve the quality of group arts therapies in future interventions, such as through smaller groups, longer sessions, and strategies to protect the therapeutic environment. (4) Conclusions: This study embraced all arts therapies as one research domain and set children’s verbal and non-verbal responses at the heart of outcome evaluation. This article highlights the importance of incorporating qualitative and arts-based methods to capture changes in children’s mental health well-being in future experimental studies.
Understanding the Antecedents of the Routine Use of Mobile Health Services: A Person–Technology–Health Framework

Although numerous studies have been conducted to understand the antecedents of usage of mobile health (mHealth) services, most of them solely focus on characteristics of mHealth services themselves but neglect taking users’ psychological and health-related factors into consideration. Besides, the comprehensive understanding of what influences users’ routine use intentions regarding mHealth services is lacking. Therefore, this study proposes a person–technology–health framework that underlines how personal factors (e.g., personal innovativeness in IT), technological factors (e.g., trust), and health factors (e.g., perceived health severity) jointly influence individuals’ routine use intentions regarding mHealth services. The proposed research model and related hypotheses were tested based on survey data from 270 respondents. The results indicate that personal innovativeness in IT, trust, and perceived health severity are important for enhancing routine use intention of mHealth services. Specifically, in situations of high perceived health severity, trust relates less positively to routine use intention than personal innovativeness in IT. In contrast, in situations of low perceived health severity, trust relates more positively to routine use intention than personal innovativeness in IT. The research findings extend the existing literature on routine use intention related to mHealth services and provide significant implications for practitioners.
Quality of Life in Personal Social Ecosystems: Further Psychometric Evaluation and Hungarian Adaptation of the Experience in Personal Social Systems Questionnaire

Introduction: Hunger et al. (2014, 2015, 2017) developed the Experience in Personal Social Systems Questionnaire (EXIS.pers) to assess individuals’ perceived functioning in their personal ecosystems. Aims: The present study aims to 1) provide further data regarding this instrument’s psychometric characteristics that have not yet been investigated, as well as 2) describe the scale’s Hungarian adaptation. Methods: The present data set consisted of 400 questionnaires of 182 individuals recruited from the general population (83.8% female, Mage = 39.8 years, SDage = 9.3 years) participating in repeated assessments. The Brief Symptom Inventory, the SCOFF screening test, the Patient Health Questionnaire-15, the Meaning in Life Questionnaire, and the WHO Well-being Index were used to investigate construct validity. Results: A bifactor structure of the EXIS.pers fitted the data best according to the confirmatory factor analytic models. The results confirmed the scalar invariance of the best fitting bifactor model across both sex and time. Internal consistency of both the subscale and total scores was good according to both traditional (Cronbach’s alpha) and more advanced (omega) indicators. Test-retest reliability with one- and five-month time lag was appropriate, as well. EXIS.pers scores showed significant inverse association with all 13 indicators of psychopathology and positive associations with both indicators of positive mental health suggestive of appropriate validity. Conclusions: The results indicate that the EXIS.pers can be used with confidence when comparing men and women or in studies involving repeated-measures designs, and that the Hungarian version serves as a reliable and valid adaptation of the original instrument.
Validation and Cultural Adaptation of the Serbian Version of the Pediatric Outcome Data Collection Instrument (PODCI) in Children with Obstetrical Brachial Plexus Lesion

Background and objectives: Pediatric Outcome Data Collection Instrument (PODCI) is among the most described scales developed to evaluate the physical status of children and adolescents with various musculoskeletal disorders. We aimed to translate PODCI from English to Serbian, culturally adopt items and domains, evaluate the temporal stability, internal consistency and the test–retest reliability of PODCISR in children with obstetrical brachial plexus lesion (OBPL), and finally, to test the construct validity of PODCISR against muscular manual test (MMT) Materials and Methods: The study included 48 eligible participants aged between 2 and 10 years with OBPL. The MMT was used to test the construct validity. Results: There were no significant differences (p > 0.05) between test and retest for all PODCISR domains. Correlations for all tested domains with MMT were statistically significant except for biceps muscle and domains II and IV. Cronbach’s alpha value of the Global Functioning Scale was good and equaled 0.838 for test and 0.832 for retest session. Cronbach’s α was more than 0.600 for all PODCISR domains except for Domain II and for Domain IV. The observed Test–Retest ICC for all PODCISR domains scores ranged from 0.899 to 0.996. Conclusion: The Serbian version of PODCI (PODCISR) was successfully translated and transculturally adopted. It has satisfactory temporal stability, construct validity and test–retest reliability as well as relevant internal consistency.