Miracle-dz/UniFAR-FTUs huggingface dataset:
Geo-Enabled Sustainable Municipal Energy Planning for Comprehensive Accessibility: A Case in the New Federal Context of Nepal

Energy is a fundamental need of modern society and a basis for economic and social development, and one of the major Sustainable Development Goals (SDG), particularly SDG7. However, the UN’s SDG Report 2021 betrays millions of people living without electricity and one-third of the world’s population deprived of using modern energy cooking services (MECS) through access to electricity. Achieving the SDG7 requires standard approaches and tools that effectively address the geographical, infrastructural, and socioeconomic characteristics of a (rural) municipality of Nepal. Furthermore, Nepal’s Constitution 2015 incorporated a federal system under the purview of a municipality as the local government that has been given the mandate to ensure electricity access and clean energy. To address this, a methodology is developed for local government planning in Nepal in order to identify the optimal mix of electrification options by conducting a detailed geospatial analysis of renewable energy (RE) technologies by exploring accessibility and availability ranging from grid extensions to mini-grid and off-grid solutions, based on (a) life cycle cost and (b) levelized cost of energy. During energy assessment, geospatial and socio-economic data are coupled with household and community level data collected from a mobile survey app, and are exploited to garner energy status-quo and enable local governments to assess the existing situation of energy access/availability and planning. In summary, this paper presents a geo-enabled municipal energy planning method and a comprehensive toolkit to facilitate sustainable energy access to local people.
Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study

Background Web-based resources and social media platforms play an increasingly important role in health-related knowledge and experience sharing. There is a growing interest in the use of these novel data sources for epidemiological surveillance of substance use behaviors and trends. Objective The key aims were to describe the development and application of the drug abuse ontology (DAO) as a framework for analyzing web-based and social media data to inform public health and substance use research in the following areas: determining user knowledge, attitudes, and behaviors related to nonmedical use of buprenorphine and illicitly manufactured opioids through the analysis of web forum data Prescription Drug Abuse Online Surveillance; analyzing patterns and trends of cannabis product use in the context of evolving cannabis legalization policies in the United States through analysis of Twitter and web forum data (eDrugTrends); assessing trends in the availability of novel synthetic opioids through the analysis of cryptomarket data (eDarkTrends); and analyzing COVID-19 pandemic trends in social media data related to 13 states in the United States as per Mental Health America reports. Methods The domain and scope of the DAO were defined using competency questions from popular ontology methodology (101 ontology development). The 101 method includes determining the domain and scope of ontology, reusing existing knowledge, enumerating important terms in ontology, defining the classes, their properties and creating instances of the classes. The quality of the ontology was evaluated using a set of tools and best practices recognized by the semantic web community and the artificial intelligence community that engage in natural language processing. Results The current version of the DAO comprises 315 classes, 31 relationships, and 814 instances among the classes. The ontology is flexible and can easily accommodate new concepts. The integration of the ontology with machine learning algorithms dramatically decreased the false alarm rate by adding external knowledge to the machine learning process. The ontology is recurrently updated to capture evolving concepts in different contexts and applied to analyze data related to social media and dark web marketplaces. Conclusions The DAO provides a powerful framework and a useful resource that can be expanded and adapted to a wide range of substance use and mental health domains to help advance big data analytics of web-based data for substance use epidemiology research.
Reporting Interaction Effects: Visualization, Effect Size, and Interpretation

Most management theories include hypotheses about interaction effects (i.e., the relation between two variables depends on values of another), but it is common for articles to present results that make it difficult to evaluate the nature, strength, and importance of the effect. We offer recommendations for improving the reporting of interaction effects by focusing on (a) visualizations, (b) effect size estimates, and (c) assessments of the nature, meaning, and importance of interactions for theory and practice.
The contribution and value of the trait-based approach to water resource protection

Freshwater is one of the Earth’s most crucial resources for social-economic development and prosperity. Biomonitoring contributes to water resource protection by integrating a holistic picture of ecosystem health through an analysis of resident biota. The taxonomy-based approach, in which taxa assemblages are analysed and compared between sites, is common in freshwater biomonitoring. However, this approach is mainly descriptive and has no predictive or effect diagnostic potential. The trait-based approach (TBA) has been hailed as capable of transforming biomonitoring into a predictive science with the potential for effect diagnosis. This paper presents a framework for the potential use of traits in riverine water resource monitoring and management. It provided ways to integrate the TBA into the Resource Quality Objectives (RQOs), current biomonitoring protocols, and developing predictive models. Their effect diagnostic potential, assemblage response predictive value and links to crucial ecosystem functions should guide the selection and integration of traits into RQOs. Examples of trait-based RQOs statements are provided.
Porous cellulose nanofiber (CNF)-based aerogel with the loading of zeolitic imidazolate frameworks-8 (ZIF-8) for Cu(II) removal from wastewater

A novel biobased porous aerogel was synthesized using physical mixing, freeze-drying, and in-situ growth methods. Zeolitic imidazolate frameworks-8 (ZIF-8) were grafted onto the surface of the CS/CNF solid composite to form a ZIF-8@CS/CNF aerogel. The structural characteristics and the adsorption potential of the ZIF-8@CS/CNF aerogel were investigated. It was found that the specific surface area of the ZIF-8@CS/CNF aerogel was 206 m2/g, and the water stability of the CNF aerogel was enhanced by incorporating the CS. Meanwhile, the adsorption isotherm and kinetics of the composite aerogel fit the pseudo-second-order kinetic model (R2 = 0.96) and the Langmuir isotherm model (R2 = 0.97) with the copper(II) oxide (Cu(II)) theoretical adsorption capacity of 245 mg/g, respectively. Furthermore, this aerogel, which combined metal-organic frameworks (MOFs) and CNF, was easy to fabricate and it was biodegradable. These characteristics suggest it has a broad potential for wastewater treatment.
Combinatorial Model for Traffic Demand Forecasting Based on Four-stage Method

On the basis of UE and SO,this paper develops a combinatorial model for traffic demand forecasting based on four-stage method with the help of share demand model.The proposed method solves the problems of enormous consumption of manpower and material resources and large amount of forecasting work caused by relative division and independence of each stage in traditional four-stage method.
Designing public playgrounds for inclusion: a scoping review of grey literature guidelines for Universal Design

ABSTRACT Universal Design (UD) is promoted internationally for the design of public playgrounds that support outdoor play, social participation, and inclusion. Despite this international recognition of UD, there is a lack of research evidence concerning the applicability of UD for playground design. Instead, municipalities need to rely on best practice guidelines to inform the design of public playgrounds for inclusion. Internationally, numerous grey literature guidelines have been produced for designing public playgrounds for inclusion, resulting in a lack of consensus on core principles for applying UD. Thus, this scoping review study aimed to synthesise findings from a review of international grey literature guidelines to strengthen the knowledgebase for designing public playgrounds for inclusion. Three themes were identified that characterise core considerations for good design: (1) design approaches, (2) design principles and (3) design recommendations. Although UD is recognised as having potential to support the design of public playgrounds, inconsistent design approaches, principles, and recommendations, were communicated within these guideline documents. Still, the core concept of inclusion underpinned all guideline documents and a tailored application of UD dominated. Consequently, to fully realise the design of public playgrounds for inclusion, UD may need to be tailored for play; however, further research is required.
Naval Forces and Civil-Military Relations

While the importance of navies for international affairs is widely documented, their influence in domestic politics remains less well understood. This research offers the first comparative account of how states? naval forces affect civil-military relations. Does the navy matter for military attempts to seize government power? The urban population and, especially, middle class elements in the capital city are potentially more capable (if willing) to create the conditions for the armed forces to overthrow the government. Because naval forces are more strongly linked to these societal elements due to recruitment practice and the location of their bases, countries with a larger navy in relation to the army could be more likely to see coups d? �tat. The empirical findings, based on the analysis of time-series cross-section data on a sample of all states between 1970 and 2007, provide strong support for the theory. Several robustness checks further increase the confidence in the results.
Local Employment Impacts of Connectivity to Regional Economies: The Role of Industry Clusters in Bridging the Urban-Rural Divide

This article proposes a new economic development framework – regional economic connectivity – to address the deep and growing urban-rural divide. Regional economic connectivity calls attention to the benefits to local communities of fostering connectivity to industry clusters and economic specializations that are already present in their broader regions. This analysis examines the relationship between growth and connectivity across all U.S. counties and their regions from 2010 to 2016 and finds that local cluster employment grows faster when those jobs are part of regional clusters. The magnitude of the relationship between growth and connectivity varies across the urban-rural hierarchy, with particularly strong results for micropolitan communities. A targeted analysis of Virginia is presented to illustrate these trends and implications for practice.
In situ hydrothermal growth and in vitro biocompatibility of TiO2 nanowires grown on TiO2 nanoparticle compacts as novel supportive substrates

ABSTRACT In this work, TiO2 nanoparticle (NP) compacts were employed as novel supportive substrates for synthesis of TiO2 nanowires (NWs) with controlled diameter via an alkali hydrothermal route. SEM observations showed that the alkali hydrothermal treatment caused an in situ conversion of TiO2 NPs on the outer surface of the compacts to TiO2 NWs. The diameter of each individual NW could be facilely tailored from 10 nm to 500 nm through adjustment of the hydrothermal temperature and reaction time. Moreover, compared with TiO2 NWs grown on the conventional Ti metals, those grown on the compacts were much more stable in the aqueous solution. In vitro biocompatible evaluation indicates that the as-synthesised TiO2 NWs supported attachment and proliferation of fibroblasts L929 cells, indicating a good biocompatibility. Moreover, TiO2 NWs with small diameter significantly enhanced cell attachment and proliferation. Thus, the as-synthesised TiO2 NWs might have a potential as novel biocompatible tissue regenerative matrix.
AtERF71/HRE2, an Arabidopsis AP2/ERF Transcription Factor Gene, Contains Both Positive and Negative Cis-Regulatory Elements in Its Promoter Region Involved in Hypoxia and Salt Stress Responses

In the signal transduction network, from the perception of stress signals to stress-responsive gene expression, various transcription factors and cis-regulatory elements in stress-responsive promoters coordinate plant adaptation to abiotic stresses. Among the AP2/ERF transcription factor family, group VII ERF (ERF-VII) genes, such as RAP2.12, RAP2.2, RAP2.3, AtERF73/HRE1, and AtERF71/HRE2, are known to be involved in the response to hypoxia in Arabidopsis. Notably, HRE2 has been reported to be involved in responses to hypoxia and osmotic stress. In this study, we dissected HRE2 promoter to identify hypoxia- and salt stress-responsive region(s). The analysis of the promoter deletion series of HRE2 using firefly luciferase and GUS as reporter genes indicated that the −116 to −2 region is responsible for both hypoxia and salt stress responses. Using yeast one-hybrid screening, we isolated HAT22/ABIG1, a member of the HD-Zip II subfamily, which binds to the −116 to −2 region of HRE2 promoter. Interestingly, HAT22/ABIG1 repressed the transcription of HRE2 via the EAR motif located in the N-terminal region of HAT22/ABIG1. HAT22/ABIG1 bound to the 5′-AATGATA-3′ sequence, HD-Zip II-binding-like cis-regulatory element, in the −116 to −2 region of HRE2 promoter. Our findings demonstrate that the −116 to −2 region of HRE2 promoter contains both positive and negative cis-regulatory elements, which may regulate the expression of HRE2 in responses to hypoxia and salt stress and that HAT22/ABIG1 negatively regulates HRE2 transcription by binding to the HD-Zip II-binding-like element in the promoter region.
INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY: APPLIED BUSINESS AND EDUCATION RESEARCH

This study aims to examine the disclosure of regional financial statements in terms of political competition, government complexity and level of financial dependence. The research conducted is an empirical study. Empirical studies were conducted using secondary data obtained from observations. The research subjects are districts and cities in the province of the islands of Bangka Belitung, totaling 6 districts and 1 city. The object of research is the size, wealth, complexity, regional dependence and political competition on the disclosure of Internet Financial Reporting. The population of this study is all regencies and cities in the Province of the Bangka Belitung Islands from 2017 to 2020. The sample used in this study is a saturated sample where all members of the population are used as samples. The results show that the size of the local government does not affect the disclosure of internet financial reporting, the wealth of the local government has an effect on the disclosure of internet financial reporting, political competition has no effect on the disclosure of internet financial reporting and regional complexity has no effect on the disclosure of internet financial reporting.
Safety Profile and Issues of Subcutaneous Immunotherapy in the Treatment of Children with Allergic Rhinitis

This study aims to evaluate safety issues of house dust mite subcutaneous immunotherapy (SCIT) among allergic rhinitis (AR) children. A retrospective cohort study was done between 2015 and 2020 to investigate the side effects of SCIT among AR children caused by a house dust mite allergy. Among 1098 patients who received house dust mite subcutaneous immunotherapy injections, 284 patients (25.87%) had side effects (SE). SE were found to be 699 times higher or in 2.27% of the 30,744 subcutaneous immunotherapy injections. A total of 17.9% of the patients had local SE during SCIT administration. Systemic side effects occurred in 8.38% of children receiving SCIT and in 0.53% of the total population who received SCIT injections. Only 2/92 (2.18%) of patients suffered an allergic reaction within 30 minutes of injection and these patients responded well to antiallergic medication. Severe anaphylaxis occurred in 0.091% of the 1098 patients in the SCIT group and in 0.0033% of the 30,774 SCIT injections. Systemic SE after SCIT occurred in 8.38% of patients receiving SCIT or 0.53% of the total number of SCIT injections. Anaphylactic episodes occurred in 16 patients (1.46%) and 15 patients (1.37%) who had first and second episodes. One severe attack was found and it was resolved with adrenaline. This study demonstrates that in pediatric patients with AR who received HDM SCIT for 18 months with high adherence, some experienced significant local SE and systemic SE caused by SCIT, but this did not interfere with the course of AR treatment or the effectiveness of SCIT.
Practice-to-Research: Responding to the Complexities of Inclusion for Students with Emotional and Behavioral Disorders with Recommendations for Schools

School administrators are instructional leaders responsible for ensuring high quality inclusive education for all students including those with disabilities. In this article, the authors review legal mandates, discuss inclusion of students with emotional and behavioral disorders (EBD) in practice, and obstacles to effectiveness. Recommendations are provided to assist administrators in maintaining high quality inclusive education for students with EBD by addressing the following barriers: (a) administrator preparation and training; (b) prioritization; (c) common philosophy, vision, and mission; (d) funding and resources; (e) teacher training and coaching, (f) effective practices and (g) effective co-teaching. While experts continue to debate the inclusion of students with EBD, school administrators have moved on and are leading inclusive practices in schools. Barriers must be addressed prior to instating a fully inclusive model or face loss of staff and failure of students with EBD. As such, the authors propose a model of practice to research, in which strategies are recommended for current practice to overcome the identified barriers with available research. With implementation of the recommendations in this article, it is highly probable that students with EBD can be successful in inclusive settings.
Influences of cultural differences in international multidisciplinary projects:model to improve Royal Haskoning's international multidisciplinary projects

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection

As the demand for Internet of Things (IoT) technologies continues to grow, IoT devices have been viable targets for malware infections. Although deep learning-based malware detection has achieved great success, the detection models are usually trained based on the collected user records, thereby leading to significant privacy risks. One promising solution is to leverage federated learning (FL) to enable distributed on-device training without centralizing the private user records. However, it is non-trivial for IoT users to label these records, where the quality and the trustworthiness of data labeling are hard to guarantee. To address the above issues, this paper develops a semi-supervised federated IoT malware detection framework based on knowledge transfer technologies, named by FedMalDE. Specifically, FedMalDE explores the underlying correlation between labeled and unlabeled records to infer labels towards unlabeled samples by the knowledge transfer mechanism. Moreover, a specially designed subgraph aggregated capsule network (SACN) is used to efficiently capture varied malicious behaviors. The extensive experiments conducted on real-world data demonstrate the effectiveness of FedMalDE in detecting IoT malware and its sufficient privacy and robustness guarantee.
Mammalian Display Platform for the Maturation of Bispecific TCR-Based Molecules

Bispecific T cell receptor (TCR)-based molecules capable of redirecting and activating T cells towards tumor cells represent a novel and promising class of biotherapeutics for the treatment of cancer. Usage of TCRs allows for targeting of intracellularly expressed and highly selective cancer antigens, but also requires a complex maturation process to increase the naturally low affinity and stability of TCRs. Even though TCR domains can be matured via phage and yeast display, these techniques share the disadvantages of non-human glycosylation patterns and the need for a later reformatting into the final bispecific format. Here, we describe the development and application of a Chinese Hamster Ovary (CHO) display for affinity engineering of TCRs in the context of the final bispecific TCR format. The recombinase-mediated cassette exchange (RCME)-based system allows for stable, single-copy integration of bispecific TCR molecules with high efficiency into a defined genetic locus of CHO cells. We used the system to isolate affinity-increased variants of bispecific T cell engaging receptor (TCER) molecules from a library encoding different CDR variants of a model TCR targeting preferentially expressed antigen in melanoma (PRAME). When expressed as a soluble protein, the selected TCER molecules exhibited strong reactivity against PRAME-positive tumor cells associated with a pronounced cytokine release from activated T cells. The obtained data support the usage of the CHO display-based maturation system for TCR affinity maturation in the context of the final bispecific TCER format.