Miracle-dz/UniFAR-FTUs huggingface dataset:
Offline and Real-Time Deadline-Aware Scheduling and Resource Allocation Algorithms Favoring Big Data Transmission Over Cognitive CRANs

Big data is generated from various sources, such as the Internet of things, social media, databases, wearables, smart cars, and so on, and is characterized by five V’s: volume, value, variety, velocity, and veracity. Transmitting big data to secondary users (SUs) over a cognitive cloud radio access network (CRAN) offers multiple benefits and critical challenges. To address these limitations, we have designed two deadline-aware, non-preemptive algorithms that maximize the sum of weighted data transferred by the network over admission, time scheduling, spectrum, and remote radio head (RRH) allocation decisions. Each data request can have a different size, target bit error rate (BER), minimum signal-to-noise ratio (SNR) requirement, and deadline, incorporating the simultaneous provision of various types of big data and ordinary data jointly. Furthermore, our formulation considers all five V’s of big data. The first algorithm we propose is an offline batch scheduling (OFB) algorithm, which assumes that all data requests are available at the time of optimization. While this sub-optimal algorithm has a lower complexity and can be implemented in larger networks than the global optimum algorithm, it is not practical for real-time applications since it requires collecting all data requests beforehand for joint scheduling. Thus, our second one is a sub-optimal online real-time scheduling (ONR) algorithm that performs admission and resource allocation on-the-fly using predictions of upcoming data requests and future availability of spectrum channels. After deriving these two algorithms, we conduct a thorough performance analysis and derive bounds on their objective values compared to the global optimum. We then demonstrate their effectiveness in achieving higher weighted sums of transferred data and prioritizing SUs with big data requests over existing alternatives through extensive numerical comparisons.
Engagement of Health Volunteers: A Promising Approach for Meeting Community Needs

Extension has entered an era of unprecedented opportunity to affect family and community health. Taking action will challenge Extension to shift the way programs are delivered, engage a volunteer corps as partners, and value empowering others to address community challenges with their own solutions. This article describes a promising approach for expanding Extension's reach by engaging health-focused volunteers through the Extension Wellness Ambassador Program, where volunteers direct their efforts toward community projects they feel inspired by and compelled to address. Additionally, the article includes recommendations for building a health-focused volunteer corps within Extension.
Mental Health and Psychosocial Problems among Children and Adolescents in Jordan: A Scoping Review

Introduction: In Jordan, mental health morbidity among children and adolescents is on the rise. Several studies in Jordan have assessed mental health issues and their associated factors among adolescents; however, there remains a lack of a collation of data regarding such issues. Objectives: To review the prevalence rates of mental health problems among children and adolescents in Jordan to understand the evidence base concerning psychiatric morbidity. Methods: The PubMed database, Cochrane Library, Virtual Health Library (VHL) Lilac, and APA PsycArticles were searched for literature published between January 2010 and May 2023. Studies were included if they were conducted on children and adolescents (≤19 years), were observational studies that reported prevalence data regarding psychosocial problems, and were studies conducted in Jordan. Results: The search yielded 211 records, of which 33 studies were assessed for eligibility and 28 met the inclusion criteria. The sample age ranged from 6–19 years. The prevalence rates ranged from 7.1% to 73.8% for depression, 16.3% to 46.8% for anxiety, 13.0–40.6% for ADHD, 11.7–55.2% for overall emotional and behavioral difficulties, 16.2–65.1% for PTSD, and 12–40.4% for eating disorders. Conclusions: The findings highlight the magnitude of mental health problems among children and adolescents and the heterogeneity of the results. Further studies are needed to investigate the prevalence of eating disorders among refugees, as well as sleeping disorders and substance use disorders among all adolescents.
Resolving the Disk-Halo Degeneracy: A look at M74

Abstract The decomposition of the 21 cm rotation curve of galaxies into contribution from the disk and dark halo depends on the adopted mass to light ratio (M/L) of the disk. Given the vertical velocity dispersion (σ z ) of stars in the disk and its scale height (h), the disk surface density and hence the M/L can be estimated. Earlier works have used this technique to conclude that galaxy disks are submaximal. Here we address an important conceptual problem: σ z and h must pertain to the same population. Our analysis concludes that previous studies underestimate the disk surface mass density by ~ 2, sufficient to make a maximal disk for M74 appear like a submaximal disk.
Automatic construction of watertight manifold triangle meshes from scanned point clouds using matched umbrella facets

ABSTRACTGeneration of watertight manifold triangle meshes from scanned point clouds has emerged as a key task in computer-aided design and inspection. An effective algorithm is presented in this paper, targeting the automatic creation of such triangle meshes from unorganized, scanned data points. The algorithm builds on the initial version of the Umbrella Facet Matching (UFM) algorithm developed by the authors. The mesh generation process starts with Delaunay triangulation of the given point cloud to determine the Delaunay triangle set at each data point. The algorithm then seeks to iteratively generate, in parallel, the local 2-dimensional manifold triangle mesh, resembling the shape of an open umbrella, at each data point from its Delaunay triangle set that fully overlaps with its neighboring umbrellas. Particularly, a four-level inheritance priority queuing mechanism is introduced to enhance the prioritization and ordering of the Delaunay triangles at each data point in order to facilitate the iterativ.
Identifying Current User-Characteristics Influencing Housing Preferences in a Proposed Low-Income Estate Redevelopment in Lagos, Nigeria

Having fallen into disrepair, the Lagos State Development and Property and Property Corporation (LSDPC), Nigeria was to redevelop the studied low-income housing estate, which it built in early 1980s. This study highlights current users’ characteristics which exhibit relationship with their housing preferences in the eventual redevelopment, for enhanced satisfaction. To achieve this aim, the study identified current users’ characteristics and examined the degree of their correlation in satisfaction with some established domains of the housing environment, with a view to assessing those, which determine current dissatisfaction ratings and by implication shape housing preferences in the envisaged redevelopment programme. The research is correlational. The survey utilised structured Likert-scale questionnaires to collect data from systematically sampled 142 of the 714 households. Housing environment research variables were established in three domains; ‘infrastructures, ‘building features’, and ‘management’. Pearson Correlation Analysis was utilised, due to the nature of data, to test the relationship between selected user characteristics and level of satisfaction/dissatisfaction with selected elements of the domains. The resultant correlation coefficients were further corroborated with crosstabulations of selected user characteristics against the domain factors. The study revealed residents’ assessment of current state of infrastructure, building features and management services as poor, in parts. The factors which exhibited relationship with users’ preferences were found to include ‘tenure status’ and ‘length of stay’ in the estate. The others were ‘family size/structure’ and ‘age’ of household heads. With building features constituting prime and rigid attributes of the housing environment, an appreciation of these factors would guide public policy on user needs and perceptions for enhanced satisfaction and pre-emption of user activism attributable to user-group dynamics, hereafter. Broadly, the study recommended amelioration of identified areas of user dissatisfaction with Infrastructures in ensuing redevelopment. For building features, the study recommended improvement, in addition to proactive home-ownership allotee profiling system to embrace identified user characteristics in future projects.
Parental Stress and Chinese American Preschoolers’ Adjustment: The Mediating Role of Parenting

Family contexts, such as parental stress and parenting practices, play critical roles in preschoolers’ adjustment. However, these processes have been understudied in Chinese American families. The present study examined the associations between Chinese American mothers’ experiences of two types of stress (i.e., general/contextual stress and parenting stress) and their preschoolers’ socio-emotional and behavioral adjustment problems; in addition, the mediating roles of maternal psychologically controlling parenting and maternal warmth in these associations were assessed. Participants included 207 first-generation Chinese American mothers (Mage = 37.78 years, SDage = 4.36) and their 3- to 6-year-old children (Mage = 4.50 years, SDage = 0.90; 52% boys). Mothers reported on their levels of stress, psychologically controlling parenting, and warmth practices; teachers reported on child adjustment in the school setting. The results revealed that higher levels of general/contextual stress and parenting stress were each uniquely associated with more maternal psychologically controlling parenting practices, which in turn was associated with fewer socio-emotional and behavioral adjustment problems in children. Our findings can inform parenting intervention programs designed to improve Chinese American preschoolers’ adjustment.
Bibliometric Analysis of TPACK Publication Trends in Scopus Data Base from 2013 to 2022

This study aims to find out the development of the publication of scientific articles about the TPACK (Technological Pedagogic Content Knowledge) Model. The research method used was a literature review using a bibliometric analysis approach that started by searching the TPACK model keywords in the Scopus journal database from 2013 to 2022. The study results revealed that within a period of 10 years, from 2013 to 2022, there were 528 publications of the TPACK model published in Scopus-indexed journals. Meanwhile, the United States is the country that contributes the most to the number of published articles. The Journal of Physics Conference is listed as the journal that has contributed the most to the dissemination of the Scopus-indexed TPACK model articles. To get more comprehensive results, further research is not only limited to Scopus-indexed journals but also includes the integration of the TPACK component in the learning to be studied.
Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control

This article aims at solving the problems of data-driven control design in the presence of strong uncertainties, hard nonlinearities, and model dependency by using a dynamic linearization (DL) method and an extended state observer (ESO). An unknown nonlinear nonaffine system is considered, whose input–output dynamics is then equivalently reformulated into a modified linear data model (mLDM) in which both a linear parametric increment description that is affine to the control input and the unmodeled uncertainties along with disturbances are included without omission or approximation. The uncertain parameter of the mLDM is estimated in real time by designing an adaptive mechanism, and the unmodeled uncertainties and disturbances are considered as a total extended state which is further estimated by developing a linear ESO. Subsequently, a modified DL-and-ESO-based data-driven adaptive control (mDLESO-DDAC) is proposed by using knowledge from previous control input to improve the control performance. The theoretical results are mathematically proved and then verified by simulations.
“The House with the Red Roof:” A Migrant-Owned Apartment in Japan and the Surrounding Relations of a “Society with Houses”

ABSTRACT This paper explores the case of a migrant-owned apartment in Japan that has been rented to migrants for over a decade. The apartment, located in the “house with the red roof,” and people’s relations that develop within and around it are approached through the anthropological concept of “societies with houses. ” The apartment is regarded not only as a dwelling but as an institution that governs relations in a loosely tied migrant society with houses. The study contributes both to migrant housing studies, offering an experimental perspective that goes beyond inquiries into migrant spatial distributions and notions of home, and to the “societies with houses” concept through expanding its toolkit and application. The apartment in question not only provides a place to live for migrants but also enacts the functions of protection, capital accumulation, social memory reproduction, disguise and exposure, and metaphorical kinning.
A generic state-space decomposition method for analyzing stochastic biomolecular reaction networks

Stochastic models of reaction networks are becoming increasingly important in Systems Biology. In these models, the dynamics is generally represented by a continuous-time Markov chain whose states denote the copy-numbers of the constituent species. The state-space on which this process resides is a subset of non-negative integer lattice and for many examples of interest, this state-space is countably infinite. This causes numerous problems in analyzing the Markov chain and understanding its long-term behavior. These problems are further confounded by the presence of conservation relations among species which constrain the dynamics in complicated ways. In this paper we provide a linear-algebraic procedure to disentangle these conservation relations and represent the state-space in a special decomposed form, based on the copy-number ranges of various species and dependencies among them. This decomposed form is advantageous for analyzing the stochastic model and for a large class of networks we demonstrate how this form can be used for finding all the closed communication classes for the Markov chain within the infinite state-space. Such communication classes support the extremal stationary distributions and hence our results provide important insights into the long-term behavior and stability properties of stochastic models of reaction networks. We discuss how the knowledge of these communication classes can be used in many ways such as speeding-up stochastic simulations of multiscale networks or in identifying the stationary distributions of complex-balanced networks. We illustrate our results with several examples of gene-expression networks from Systems Biology.
Attention-Aware Dual-Stream Network for Multimodal Face Anti-Spoofing

Since the rapid development of face recognition systems using 3D cameras, the public has demanded great safety regulations for these devices. As a closely related topic, multimodal face anti-spoofing (FAS) has become an indispensable part of face recognition systems. However, existing multimodal FAS tools suffer from performance degradation under external low-lighting conditions and insufficient representation capabilities of fusion features. To address these issues, we present an attention-aware dual-stream fusion method using 3D cameras (i.e., IR+Depth) and considering both fine-grained and global features. Specifically, we introduce a surface normal generator using depth maps to obtain robust and discriminative representations. Then, we leverage the attention mechanism to split each stream into two branches. The first branch explores complementary global information between different modalities, while the second branch captures subtle and local features from each modality. The system regards multimodal FAS as a fine-grained classification problem. Moreover, to ensure that local areas in the image do not overlap and belong to the same class, a joint loss function is developed and proven to further boost the performance of FAS. We extensively evaluate our proposed strategies on various multimodal databases, and the results show that when compared with current state-of-the-art multimodal methods, our framework achieves superior performance.
Comparative Analysis of Primary Tumour and Matched Metastases in Colorectal Cancer Patients: An Investigation of the Genomic, Proteomic and Post-Transcriptional Regulation Profiles

Introduction: Approximately 50% of patients with primary colorectal carcinoma develop liver metastases. This study investigates the possible molecular discrepancies between primary colorectal cancer (pCRC) and their respective metastases. Methods: A total of 22 pairs of pCRC and metastases were tested. Mutation profiling of 26 cancer-associated genes was undertaken in 22/22primary-metastasis tumour pairs using next-generation sequencing, whilst the expression of a panel of six microRNAs (miRNAs) was investigated using qPCR in 21/22 pairs and 22 protein biomarkers was tested using Reverse Phase Protein Array (RPPA) in 20/22 patients’ tumour pairs. Results: Among the primary and metastatic tumours, the mutation rates for the individual genes are as follows: TP53 (86%), APC (44%), KRAS (36%), PIK3CA (9%), SMAD4 (9%), NRAS (9%) and 4% for FBXW7 , BRAF , GNAS and CDH1 . The primary-metastasis tumour mutation status was identical in 54/60 (90%) loci. However, there was discordance in heterogeneity status in 40/58 genetic loci (z-score = 6.246, difference = 0.3793, P < 0.0001). Furthermore, there was loss of concordance in miRNA
Implementation of LMS Viska Learning on Motivation and Learning Achievement of Class XI OTKP Students of Vocational High School

Abstract : The changes that occur in the education aspect, namely learning models and learning media, encourage SMK Negeri 6 Surakarta to use the Viska Learning Learning Management System (LMS) product as a medium for the learning process between teachers and students. The purpose of the study was to determine the effect of LMS Viska Learning on the motivation and learning achievement of students in the Financial OTK subjects of class XI OTKP Vocational High School 6 Surakarta. The research method used is descriptive quantitative research with research instruments using questionnaires and questions midterm and final exam. The results showed that there were 74.76% HM, 15.88% MM, and 9.34% LM. Student achievement in use of LMS Viska Learning shows the range of values for one semester. Based on the distribution of scores in each range, it shows that LMS Viska Learning has had a positive impact on students in class XI OTKP 1, 2, and 3. From a total of 107 students, scores in the range II – IV have decreased. While in the range of values of V, there was a significant increase. Utilization of Viska Learning LMS in the learning process can increase high learning motivation to achieve good achievements effectively.
From Serendipity to Sustainability: Exploring the Content Creation and Sharing Experiences of Local Travel Influencers in China

The study explored content creation and sharing experiences of local travel influencers in Meishan City, China. A qualitative phenomenological methodology was used to conduct in-depth interviews with 15 local travel influencers based on social exchange theory and its reciprocal principles. Thematic content analysis was used to analyse data. Study findings showed that being a local travel influencer was an emerging occupation requiring comprehensive competence in specific contextual and cultural backgrounds. Although travel influencers’ initial rise to popularity was often serendipitous, supportive policies from the local tourism community could assist travel influencers in achieving sustainable tourism. Local travel influencers face several challenges including staying authentic, monetizing content, dealing with the COVID-19 pandemic, avoiding homogenous content, and managing work load. Local travel influencers could serve as a significant liaison between tourists and the local tourism community by collaborating with local tourism stakeholders, building a local multi-layer media matrix, co-creating promotional content, and live-streaming e-commerce. Study findings have theoretical and practical implications for tourism stakeholders in integrating regional tourism community development with local influencer networks.
Evaluation of Tax Digitalization Efforts by Federal Inland Revenue Service and their Impacts on Tax Collection 2002-2021

The federating states and capital of federal republic of Nigeria are too dependent on federally collected revenues largely from oil and gas. However, taxation is indisputably the most viable and sustainable means of raising revenue for public expenditures. Therefore, the federal government can enhance its bases of taxation to generate more tax revenue for the federating units to share especially with known shocks in oil and gas revenue. Conversely, increasing number of individuals and corporate bodies that pay taxes to the federal government are making tax administration more difficult. To overcome this, the Federal Inland Revenue Service (FIRS) has embarked on processes of digitizing tax administration at the federal level. Consequently, the aim of this study is to evaluate the impact of the tax digitalization processes by FIRS by one, describing the digitalizations and two, by undertaking trend analyses of total tax revenue collections 2002-2021. To achieve these, secondary data is collected from the literature and publications of the FIRS while public policy analytical framework underpins the study. Results from the study revealed that there are consistencies in efforts by the FIRS to digitalize tax administration in Nigeria even though implemented in short time intervals. Similarly, on the overall, there are increasing but fluctuating trends of tax revenue collection by FIRS 2002-2021 implying the positive impacts of the current digitalization efforts.
Recent advances in curcumin-based nanoformulations in diabetes

Abstract Diabetes is predicted to affect 700 million people by the year 2045. Despite the potential benefits for diabetics, curcumin’s low bioavailability significantly reduces its utility. However, newer formulation methods of decreasing particle size, such as through nanotechnological advances, may improve curcumin’s bioavailability and cell-absorption properties. Various curcumin nanoformulations such as nanofibers, nanoparticles-like nanostructured lipid carriers (NLCs), Solid Self-Nanoemulsifying Drug Delivery Systems (S-SNEDDS) and nanohydrogels have been evaluated. These studies reported increased bioavailability of nanoformulated curcumin compared to free curcumin. Here, we provide a detailed review of the antidiabetic effects of nanocurcumin compounds and subsequent effects on diabetic complications. Overall, various nanocurcumin formulations highly increase curcumin water-solubility and bioavailability and these safe formulations can positively affect managing some diabetes-related manifestations and complications. Moreover, nanocurcumin efficacy in various diabetes complications is discussed. These complications included inflammation, neuropathy, depression, anxiety, keratopathy, cataract, cardiomyopathy, myocardial infarction (MI), nephropathy, erectile dysfunction and diabetic wound. Moreover, several nanocurcumin formulations improved wound healing in the diabetic. However, few studies have been performed in humans, and most results have been reported from cellular and animal studies. Therefore, more human studies are needed to prove the antidiabetic effects of nanocurcumin.