Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Topological Mapping Methods in Indoor Environments

Mapping is one of the key components of mobile robot navigation. Representing a map as a topological structure is suitable for fast path planning and does not require high positioning precision or high computational resources, which is particularly useful in large environments. In recent years, numerous methods of topological graph building have emerged. Most of these methods build a topological graph in conjunction with a metric map, and during tests and benchmarks, the performance of metric maps is typically assessed. However, topological graph quality is also crucial for robot navigation. In this study, we conducted an extensive evaluation of five open-source topological mapping methods (Hydra, S-graphs+, IncrementalTopo, ETPNav, and TSGM) using a large simulated indoor dataset with precise and noisy positioning. We used novel metrics to measure topological graph quality in our comparison. We found that all the methods except TGSM build an unconnected graph with both precise and noisy positioning. Hydra and S-graphs are more robust to position noise, but their graphs have a high percent of the edges crossing an obstacle. TSGM builds connected graphs, and it is not sensitive to positional noise because it does not use position as an input. However, its graphs have a high percent of the edges crossing an obstacle. IncrementalTopo has fewer edges passing through the obstacles; however, with noisy positioning, its graph becomes highly disconnected, which may also cause navigation failures. Thus, all the evaluated methods have their own advantages and drawbacks, and none of them builds a graph suitable for navigation out of the box. Overall, our study pinpoints the advantages and disadvantages of the state-of-the-art topological mapping methods and may aid researchers and practitioners in choosing a proper available algorithm for their specific setup.
Who is Who on Ethereum? Account Labeling Using Heterophilic Graph Convolutional Network

To combat cybercrimes and maintain financial security for the blockchain ecosystem, “know your customer” (KYC) is an essential and also challenging process due to the pseudonymity nature of blockchain technology. To unlock the potential of KYC on blockchain-based platforms like Ethereum, account labeling is a powerful means which can de-anonymize addresses by mining public transaction records. Existing studies on account labeling are mainly conducted via machine learning (ML) methods fed with hand-crafted features or graph neural networks based on the modeled transaction network. However, ML approaches based on hand-crafted features ignore the global interaction information between accounts, making it easy for criminals to evade detection. Moreover, the performance of traditional GCN methods when applied to Ethereum transaction network encounters limitations due to label sparsity, network heterophily, and large network size of the transaction network. In this article, we first analyze Ethereum accounts involved in typical businesses, in terms of both account and topological features. Then based on the analytical results, we propose a novel GCN method named know-your-customer graph convolutional network (KYC-GCN) which contains two key designs: 1) multihop aggregators and importance-based sampling are designed to tackle the dilemma between accuracy and efficiency. 2) GCN architecture is improved to explicitly capture local and more global information. Experimental results on a realistic Ethereum dataset show that the proposed KYC-GCN (90.2% accuracy, 86.2% Marco-F1) achieves state-of-the-art classification performance, and results on six benchmarks demonstrate that it yields great performance under homophily and heterophily.
Measuring Students’ Perceived Costs of Studying Abroad: Validating an Adapted Instrument and Confirming the Factor Structure

Study abroad experiences provide students opportunities to explore various cultures, ideals, and lifestyles around the world. However, those who may desire to participate have varying levels of motivation. Using the expectancy-value theory as a context, we sought to validate an adapted instrument to assess undergraduate students’ perceived cost of participating in short-term, study abroad courses or experiences (less than 14 days). Exploratory and confirmatory factor analyses were conducted using R-type programming to confirm the factor structures. Findings revealed 12 items loaded onto four distinct factors: emotional cost, outside effort cost, loss of valued alternatives cost, and task effort cost—explaining 84% of the variance in college students’ motivation to study abroad. Students were most motivated to study abroad based on the outside effort cost factor. Due to the rigorous psychometric properties used to validate the instrument, researchers can have confidence in including perceived costs when assessing motivation using the expectancy-value theory as a framework.
Mass And Thermal Flow In Glaciers

using a regular but non-uniform grid. transfer equation. All the systems are solved by the Finite Difference Method are obtained. The velocity field obtained is the input for computing the heat systems and to double derive the equations in such a way that second order terms assumptions i t is possible to split the entire system into smaller and simpler stress and velocity are twice differentiable vector functions. Under these on the assumptions that the pressure is lithostatic throughout the domain and that sections of Alpine glaciers. The mass-flow model proposed in this work is based seems to be cfficient enough to model a section of complex geometry such as numerical model. A number of models have been proposed before, but none characteristics represent the major tasks to be faced during the formulation of a Ice thcrmo-dynamics is non-linear and convection dominated. Both these
The Trend of Inclusive Learning Models: Systematic Review Study

This study aims to analyze the trend of inclusive learning models with study criteria; the learning model tested as an inclusive learning model at various levels of education. the systematic review method refers to Castlebery with five study stages namely compiling, disassembling, reassembling, interpreting, and concluding. data collection using the published or perish application to collect articles from 2013 to 2023, with the keywords teaching model inclusive, teaching model for inclusive school, and teaching model for SEND (student education need disabilities) from Google Scholar. 200 journals have been screened with predetermined study criteria. The results of this study have shown that the trend is testing existing learning models by looking at their effectiveness and relevance to inclusive classes (62%), the trend is investigating learning models adapted to inclusive classes (15%), the trend is comparing learning models by looking for relevance to the inclusive class (15%), and trends describing the right model for use in the inclusive class based on a literature review (8%). The findings of this study can be used as a reference for teachers in conducting inclusive classroom learning, and researchers can formulate a more comprehensive learning model based on the analysis of the learning models studied in this study.
Microflora of the Bitter Springs Formation, late Precambrian, central Australia

Thirty new species, representing 24 new genera, of green algae, blue-green algae, colonial bacteria, fungus-like filaments, and possible pyrrophytes, are described from the bedded carbonaceous cherts of the late Precambrian Bitter Springs formation, Ross river area, central Australia. Chemical data and petrologic evidence indicate that the organisms are geochemically altered but are morphologically intact. The age of the microflora is considered to be approximately 1000 m.y.
Étude du phénomène de Marée Verte affectant les baies de Lannion et de Saint-Brieuc

Depuis 1968, les plages des Baies de Saint-Brieuc et de Lannion sont envahies chaque ete par d'innombrables epaves d'algues vertes appartenant aux especes Ulva lactuca et Ulva rigida. Ce phenomene est connu sous le nom de maree verte. Le flux tasse ces epaves en un cordon littoral de plusieurs metres de largeur a l'interieur duquel les algues fermentent en degageant une odeur tres desagreable. Chaque cordon constitue, en outre, une barriere qui rend l'acces a la mer tres penible. Il se compose, en effet, d'une croute blanchâtre d'apparence seche et solide mais qui se dechire a la moindre pression laissant apparaitre un magma noirâtre et putride dans lequel le promeneur s'enfonce jusqu'a mi-jambe (Fig. 1 a 5). Tres tot les autorites locales responsables se sont inquietees de cet etat de fait qui nuit considerablement a la vocation touristique de la region.
Forms of fiscal governance in the Euro Area – An update

Despite the common Euro Area (EA) requirements, we find notable differences in the quality of fiscal governance among the 19 member states. Moreover, characteristics of the delegation approach, which have been largely ignored in the EA fiscal governance framework, remain important in various member states. Using a two‐way fixed effects panel data model for the EA countries during 2006–2018, we find that the delegation approach can be effective to improve the fiscal position. On the other hand, the imposition of centrally mandated common rules‐based reforms has not taken into account the national political, social and institutional setting, and this may have also affected their effectiveness to achieve fiscal discipline. Our findings thus suggest a reconsideration of the one‐size‐fits‐all, rules‐based approach to fiscal governance in the EA.
The Role of the Surface Waves in Forming the Propagation Pattern of EM Signals over the Ocean and Wavy Boundary Layer Measurements during RED

Abstract : The long term goal of this research is to bring better understanding of how atmospheric conditions and sea state affect the propagation pattern of EM signals over the ocean. Scattering from layered structure of the atmosphere (Wait, (1970)), random fluctuations of the refractive index as well from the rough ocean surface, are intricately involved in the pattern formation, although their interaction and quantitative contribution is incompletely understood. A particular focus of this work is to reveal the role of the atmospheric pressure fluctuations (Bean and Dutton, (1968), Ishimaru, (1978)), both turbulent and wave-induced, in the variability of the refractive index, as well as to enhance our understanding of the EM scattering properties of the ocean surface as a function of the sea state.
Bioactive Polyketides from the Natural Complex of the Sea Urchin-Associated Fungi Penicillium sajarovii KMM 4718 and Aspergillus protuberus KMM 4747

The marine-derived fungal strains KMM 4718 and KMM 4747 isolated from sea urchin Scaphechinus mirabilis as a natural fungal complex were identified as Penicillium sajarovii and Aspergillus protuberus based on Internal Transcribed Spacer (ITS), partial β-tubulin (BenA), and calmodulin (CaM) molecular markers as well as an ribosomal polymerase two, subunit two (RPB2) region for KMM 4747. From the ethyl acetate extract of the co-culture, two new polyketides, sajaroketides A (1) and B (2), together with (2′S)-7-hydroxy-2-(2′-hydroxypropyl)-5-methylchromone (3), altechromone A (4), norlichexanthone (5), griseoxanthone C (6), 1,3,5,6-tetrahydroxy-8-methylxanthone (7), griseofulvin (8), 6-O-desmethylgriseofulvin (9), dechlorogriseofulvin (10), and 5,6-dihydro-4-methyl-2H-pyran-2-one (11) were identified. The structures of the compounds were elucidated using spectroscopic analyses. The absolute configurations of the chiral centers of sajaroketides A and B were determined using time-dependent density functional theory (TDDFT)-based calculations of the Electronic Circular Dichroism (ECD) spectra. The inhibitory effects of these compounds on urease activity and the growth of Staphylococcus aureus, Escherichia coli, and Candida albicans were observed. Sajaroketide A, altechromone A, and griseofulvin showed significant cardioprotective effects in an in vitro model of S. aureus-induced infectious myocarditis.
Comparación de peso entre dos protocolos de crianza artificial de venados cola blanca (Odocoileus virginianus) en el altiplano central de México

In the central highlands of Mexico, the sustainable use of white-tailed deer ( Odocoileus virginianus ) through sport hunting has allowed the development of new companies providing hunting services. When we talk about new agribusinesses, we can mention hunting ranches, which are private rural properties destined to agricultural or forestry production, engaged in breeding and economic utilization of wildlife species. One of the most important hunting companies in the central highlands of Mexico is undoubtedly the Rancho Bernalejo Hunting Resort & Spa, a company one hundred percent Mexican. Here, deer are treated according to a strict selection program. Within the ranch management plans there may be situations in which some fawns receive special feeding treatment because the mother has a damaged udder, the mother is sick, or she rejected the newborn fawn, or very little fawns, due to triplets or quadruplets calving or in cases of artificial breeding. During artificial breeding in the ranch fawns are fed with Zoologic Doe® milk replacer, where they receive the replacer several times a day for adequate feeding. The importance of this work is to propose a feeding protocol in order to achieve an increase in weight gain and a decrease in meekness in fawns.
Caregiver’s psychological well-being and quality of relationship with cardiac amyloidosis patients

ABSTRACT Caregivers’ psychological well-being is linked to the quality of care provided for familiar with chronic illness. Despite caregivers of cardiac patients present an impaired psychological well-being, less investigated is the psychological well-being of caregivers of individuals with a rare disease such as the Transthyretin Cardiac Amyloidosis (ATTR-CA). Specifically, given that no study explored the well-being of the caregiver and the caregiver-patient relationship, this study aimed to analyze the prevalence of anxiety and depression in ATTR-CA caregivers and if these disorders were associated with patient’s and caregiver’s characteristics. Fifty-eight dyad caregiver-ATTR-CA patients completed the Hospital Anxiety and Depression Scale and the Network of Relationships Inventory. Moreover, ATTR-CA patients completed the Kansas City Cardiomyopathy Questionnaire, while caregivers completed the Multidimensional Scale of Social Support. Results showed that anxious caregivers (44%) reported higher conflict with patients. They had ATTR-CA relatives with a worse perception of cardiac symptoms and higher anxiety and depression. Depressed caregivers (39%) reported higher conflict with ATTR-CA relatives and lower perceived social support. Caregiver reported a high prevalence of anxiety and depression associated with worse personal relational well-being and to patient’s psycho-physical condition. The care of ATTR-CA patient should consider the caregiver well-being.
Functional underlayers for dose reduction and collapse mitigation in EUV lithography: a factorial analysis

It is renowned that underlayers can enhance photoresist performance in extreme ultraviolet lithography via chemical/physical interactions, but these effects are elusive to identify. Using factorial analysis, we pinpoint which underlayer parameters have or have not an effect on the lithography patterning quality of chemically amplified and metal oxide resists in three proposed experiments. Experimental factors were underlayer thickness, density, surface roughness, surface energy and composition; the outputs were: dose, exposure latitude, line roughness and its correlation length.
Strategies to Enhance Biomedical Device Performance and Safety: A Comprehensive Review

This paper reviews different approaches to obtain biomaterials with tailored functionalities and explains their significant characteristics that influence their bioactivity. The main goal of this discussion underscores the significance of surface properties in materials, with a particular emphasis on their role in facilitating cell adhesion in order to obtain good biocompatibility and biointegration, while preventing adverse effects, such as bacterial contamination and inflammation processes. Consequently, it is essential to design strategies and interventions that avoid bacterial infections, reducing inflammation and enhancing compatibility systems. Within this review, we elucidate the most prevalent techniques employed for surface modification, notably emphasizing surface chemical composition and coatings. In the case of surface chemical composition, we delve into four commonly applied approaches: hydrolysis, aminolysis, oxidation, and plasma treatment. On the other hand, coatings can be categorized based on their material composition, encompassing ceramic-based and polymer-based coatings. Both types of coatings have demonstrated efficacy in preventing bacterial contamination, promoting cell adhesion and improving biological properties of the surface. Furthermore, the addition of biological agents such as drugs, proteins, peptides, metallic ions plays a pivotal role in manifesting the prevention of bacterial infection, inflammatory responses, and coagulation mechanism.
Artificial intelligence technology for radiation oncology understaff mitigation and cost-effective treatment planning

Treatment with radiation therapy can be relatively inexpensive and highly effective, reducing the overall cost of healthcare, as well as saving lives of cancer patients. To face the posed challenges of laborious tasks and understaff in radiotherapy, the use of knowledge-based models (artificial Intelligence) to reduce the treatment planning times up to 95% might be a promising solution. One such tool, called RapidPlan (Varian Medical Systems, Palo Alto-CA), could be acquired with an investment of a small fraction of the treatment planning system cost. RapidPlan’s support during treatment planning results in a considerable increase in plan quality while reducing plan variability and elaboration time. The goal of this dissertation was to estimate the break-even point from where the time saved during treatment time would pay the initial investment on RapidPlan. Published data demonstrates that RapidPlan can largely benefit radiation therapy institutions by streamlining the treatment planning process and the break-even point started to be achieved after treating 112 to 2668 patients, depending on the cancer types treated for each group. Therefore, it may be possible to realize a return on investment within a reasonable time frame, while benefiting from gains in efficiency, and possibly mitigating understaffing and lack of experience in treatment planning.
Internet gaming disorder and its varied impacts on adolescent age group

This comprehensive review article examines the multifaceted impacts of Internet gaming disorder (IGD) or gaming addiction on individuals, with a particular focus on adolescents and young adults. It begins by defining IGD based on criteria from the American Psychiatric Association and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). The review highlights the global prevalence of IGD among adolescents, emphasizing the need for further research and intervention strategies to address this growing concern. It delves into the psychological impacts, including depression, anxiety, cognitive impairments, social isolation, and poor impulse control. The behavioral impacts encompass irritability, academic problems, social withdrawal, financial issues, poor time management, and neglect of responsibilities. Additionally, the review discusses the familial and parental impacts, such as strained family relationships, insecure attachments, family environment disruption, conflicts, and weakened family bonds. The physical health impacts are explored, including sedentary behaviors, sleep disturbances, musculoskeletal problems, dietary issues, and eye strain. Overall, this review underscores the complex and far-reaching consequences of IGD, highlighting the urgency of addressing this issue to promote the well-being of affected individuals.
A Journey Through Rural Community Radiography Practice in South-South Nigeria: Radiographers’ Perceptions, Willingness and Barriers

Introduction. The lack and retention of healthcare professionals in rural areas has become a serious concern to the health sector globally. Retaining health staff in rural areas has proven difficult as young professionals prefer urban postings. This study aimed to assess radiographers’ perceptions, willingness and barriers to work in rural areas of Rivers State. Method. This cross-sectional questionnaire-based study was conducted among radiographers in Rivers State. The participants’ socio-demographic variables and their responses to perceptions, willingness and barriers to work in rural areas were obtained and analysed. Results. Only 30% (n=12) of the participants were willing to work in the rural areas of Rivers State. The majority of the participants (95%; n=38) indicated they were willing to work in rural areas due to the incentive they received in the form of extra remuneration. Most participants indicated that unfavourable working conditions (88%; n=35), poor housing (85%; n=34) and militant activities (88%; n=35) in rural areas, as well as their marital status (55%; n=22) as reasons for being unwilling to work in these areas in Rivers State. There were statistically significant relationships between the participants’ willingness to work in the rural areas of Rivers State and their biological sex ( χ 2 = 48.000, p=0.000), years of working experience ( χ 2 = 47.500, p=0.000), marital status ( χ 2 = 84.966, p=0.000) and age ( χ 2 = 76.758, p=0.021). Conclusion. The results of this study suggest that the majority of the radiographers were not willing to work in the rural areas of Rivers State. The main reasons identified are unfavourable working conditions, poor housing, militant activities and marital status. It was found that financial inducement could influence participants’ willingness to work in rural areas.
Capacidad y vulnerabilidad de los suelos de la Comunidad Valenciana

Pedological information represented in soil maps is offered solely in scientific terms. This is one of the reasons that give rise to its under-use. In this paper, we set the behaviour standards of the main taxonomic soil units mapped in the Valencia Region. The capability and vulnerability of these units are indicated in order to facilitate the understanding of the data provided by soil surveys. The Capability Index refers to the intrinsic vocation of both soil and its physical surroundings, and it determines land capability for farming use. The Vulnerability Index considers soil potential limitations occasioned by its mismanagement, which may lead to the decline of soil system functions.
ASSESSMENT OF CHANNEL WIDTH DISPARITY AT DIFFERENT STRETCHES OF REGULATED RIVER DAMODAR USING REMOTE SENSING AND GIS

Remote sensing images can be effective medium to determine river bank shifting at different time phase. The paper aims to understand asymmetric pattern of channel width distribution at different stretches of river Damodar from Damodar Barakar confluence to Paikpara. Three time phase data i.e. AMS toposheet 1943, SOI toposheet 1969- 70, LANDSAT 8 satellite 2014 data are used in this study. The observation shows that average width of river has been decrease from source to mouth. Strong human intervention is largely responsible for asymmetric pattern of channel width of river Damodar.