Miracle-dz/UniFAR-FTUs huggingface dataset:
Edukasi Pencegahan Dan Penangananan Awal Cedera Ankle Sprain Bagi Kelompok Aktif

Data epidemiologi cedera olahraga menunjukkan cedera pada ankle sebagai cedera tersering kedua, dengan ankle sprain sebagai jenis cedera ankle paling sering terjadi (33 dari 43 jenis olahraga). Berdasarkan penelitian yang dilakukan di Amerika Serikat, Belanda dan Hong Kong, ankle sprain merupakan tipe cedera yang paling sering terjadi (33 – 73%). Di Inggris, 3 – 5% dari seluruh kunjungan ke departemen gawat darurat merupakan ankle sprain, dengan perkiraan insidensi 5,600 perhari. Studi meta analisis menunjukkan bahwa jenis kelamin wanita dan anak–anak merupakan populasi dengan risiko tertinggi terjadinya ankle sprain. Pada studi lain juga mengatakan sekitar 28% atlet pelajar mengalami cedera sprain pergelangan kaki berulang. Pengabdian masyarakat ini bertujuan agar peserta dapat memahami pengertian, cara mencegah dan penanganan awal cedera ankle sprain. Edukasi dilakukan melalui penyuluhan yang dapat dipahami dan diterima dengan baik oleh peserta. Penyuluhan menghasilkan pemahaman individu terhadap penyebab, pertolongan pertama, serta pencegahan cedera. Dengan demikian, individu dapat menghindari cedera ankle sprain dan dapat berperan aktif dalam memberikan pertolongan awal cedera. Kata Kunci : ankle sprain, cedera olahraga, promosi kesehatan ABSTRACT Sports injury epidemiology data show ankle injury as the second most common injury, with ankle sprain being the most common type of ankle injury (33 of 43 types). Based on research conducted in the United States, the Netherlands and Hong Kong, ankle sprains are the most common type of injury (33 – 73%). In the UK, 3 – 5% of all visits to the emergency department are ankle sprains, with an estimated incidence of 5,600 per day. Meta-analysis studies show that the sexes of women and children are the population with the highest risk of ankle sprains. In another study also said about 28% of student athletes suffered from repeated sprains or leg injuries. This community service aims to enable participants to understand the meaning, ways to prevent and early treatment of ankle sprains. Education is carried out through counseling that is acceptable and well received by participants. Counseling produces individual understanding of the causes, first aid, and injury prevention. Thus, individuals can avoid ankle sprains and can play an active role in providing early injury relief. Keywords: ankle sprain, sports injury, health promotion
Semantics reused context feature pyramid network for object detection in remote sensing images

Abstract. Object detection plays an important role in the field of remote sensing (RS) images analysis. The advancement of object detection task for RS images is extremely challenging due to object scale variation and complex background. Almost all detection frameworks use the neck network to fuse the feature maps extracted by the backbone to obtain better features, among which feature pyramid network (FPN) is the most widely used. Although traditional FPN has shown great potential in multi-scale object detection based on deep learning, it has unsatisfactory detection accuracy for small objects and confusing objects in RS images because of the lack of rich semantic and contextual information. We propose an architecture, called semantics reused context FPN that is portable to any FPN-based detectors to boost the detection performance in RS images without parameters increasing significantly. It includes two blocks, namely, context feature enhanced block, which uses dense connection and a learnable branch structure to extract rich context features with multiple receptive fields, and semantic feature reused block, which enhances semantic information of shallow feature maps by reusing later-layer features. Comprehensive evaluations on three benchmark datasets of geospatial object detection demonstrate that our method is superior to the existing methods.
Simulation and New Sensor Technologies for Industrial Crystallization

A significant proportion of materials are produced in crystalline form. Many of these crystals are produced by nucleation and growth from solution. In these processes, the control of the crystal size distribution can be critically important for efficient downstream operations such as filtration and drying, and product effectiveness (e.g., flowability, bioavailability, tablet stability). Such control has recently become possible due to new sensor technologies that can peer into the crystallization process as it occurs, and high resolution algorithms which can efficiently simulate crystallization processes. This paper provides an overview of recent advances in areas.
Effectiveness of Student-Led Interventions on Improving Diabetes Outcomes: A Systematic Review

ABSTRACT Background Diabetes education and treatment is a public health priority. Student-delivered strategies have the potential to offer low-cost, high-quality healthcare services to underserved patients while giving students practice experience. However, the effectiveness of these interventions is unknown. Purpose To document study characteristics and the effectiveness of student-delivered interventions on diabetes health outcomes. Methods Databases searched included Medline, CINAHL Plus, and others. Appropriate keywords/subject headings were used to identify studies meeting inclusion criteria. Two reviewers independently extracted data which were compared, and conflicts resolved by discussion. Results Seven studies met inclusion criteria. Six had statistically significant improvement in outcomes including HbA1c, a long-term glycemic control indicator (n = 4), blood pressure (n = 3), physical activity (n = 1), and exercise stage of change (n = 1). Studies involved medical (n = 3), pharmacy (n = 2), nursing (n = 1), and exercise science (n = 1) students. Studies with improved outcomes tended to have more patient contact. Discussion This review provides evidence that student-led diabetes interventions may be effective at improving outcomes, although studies reviewed are limited by lack of comparison groups and representative samples. Translation to Health Education Practice: Student-delivered diabetes interventions may improve outcomes, especially with adequate patient contact time. Studies of theory- and evidence-based student-led diabetes interventions involving health education/promotion students are warranted.
Application of Machine Learning in the Field of Intraoperative Neurophysiological Monitoring: A Narrative Review

Intraoperative neurophysiological monitoring (IONM) is being applied to a wide range of surgical fields as a diagnostic tool to protect patients from neural injuries that may occur during surgery. However, several contributing factors complicate the interpretation of IONM, and it is labor- and training-intensive. Meanwhile, machine learning (ML)-based medical research has been growing rapidly, and many studies on the clinical application of ML algorithms have been published in recent years. Despite this, the application of ML to IONM remains limited. Major challenges in applying ML to IONM include the presence of non-surgical contributing factors, ambiguity in the definition of false-positive cases, and their inter-rater variability. Nevertheless, we believe that the application of ML enables objective and reliable IONM, while overcoming the aforementioned problems that experts may encounter. Large-scale, standardized studies and technical considerations are required to overcome certain obstacles to the use of ML in IONM in the future.
Novel Potential Immune Response Biomarkers to Multidrug-Resistant Tuberculosis in the Last Five Years

Rapid and accurate detection performs an important role in the control of raising MDR-TB. Currently, studies on biomarkers as targets for TB diagnostic tests using immune response products to indicate the presence, mycobacterial load, early markers, and activity, diﬀ erentiation, and progression markers of TB infection are rapidly available. This systematic review aims to summarize the last ﬁ ve years of potential biomarkers studies from the immune response for MDR-TB rapid diagnostic development. The authors performed a literature search on four databases as ProQuest, EBSCO Academic Search, Universitas Gadjah Mada Online Library Journal Database, and Google Scholar, retrieved from January 2016 to December 2021. In total, 18,288 articles were identiﬁ ed and three tudies met the inclusion criteria. Several promising biomarkers were found for MDR-TB diagnosis purposes, such as sCD14, PGLYRP2, FGA, Indoleamine 2, 3- dioxygenase (IDO), and Complement Receptor 2 (CR2). A combination of sCD14, PGLYRP2, and FGA were bringing a diagnostic design with a higher sensitivity (94.7%) and speciﬁ city (80%) than the design of a single protein. Higher IDO activity towards the MDR-TB group than in the DS-TB group with a sensitivity of 87.50 %, speciﬁ city of 72.22 %. CR2 was the main focus due to its association with IL-6. After induction of CR2 peptide in a dose-dependent manner, the expression level of IL-6 was decreased signiﬁ cantly. It might because of CR2 peptide regulating the macrophages proinﬂ ammatory cytokines secretion to decrease the local inﬂ ammation of the immune response. These biomarkers are strong candidates for MDR-TB diagnosis due to their important role as the pathogenesis marker of MDR-TB. There is a need of further research to investigate those immune response products and their role to eliminate infection of Mycobacterium tuberculosis directly.
Research progress on wearable devices for daily human health management

As the public’s demand for portable access to personal health information continues to expand, wearable devices are not only widely used in clinical practice, but also gradually applied to the daily health management of ordinary families due to their intelligence, miniaturization, and portability. This paper searches the literature of wearable devices through PubMed and CNKI databases, classifies them according to the different functions realized by wearable devices, and briefly describes the algorithms and specific analysis methods of their applications and made a prospect of its development trend in the field of human health.
Identifying how the time on the market affects the selling price: a case study of residential properties in Paphos (Cyprus) urban area

PurposeThe purpose of this study is to investigate how the degree of overpricing (DOP) and other variables are associated with the time on the market (TOM) and the final selling price (SP) for residential properties in the Paphos urban area.Design/methodology/approachThe hedonic pricing model was used to examine the association of TOM and SP with various factors. The association of the independent variable of DOP and other independent variables with the two dependent variables of TOM and SP were investigated via ordinary least squares (OLS) regression models. In the first set of models the dependent variable was TOM and in the second set of models the dependent variable was SP. A sample of N = 538 completed transactions from Q1 2008 to Q2 2019 was used to estimate the optimum DOP that a seller must apply on the current market value of a property in order to achieve highest SP price in the shortest TOM.FindingsThe results of this study also suggest that the degree of overpricing in thin and less transparent markets is higher than that in transparent markets with high property transaction volumes. In mature markets like the USA and the UK where the actual sold prices are published, the DOP is around 1.5% which is much lower than the 11% DOP identified in this study.Practical implicationsIt was found that buyers are willing to pay more for the same house in a bigger plot than a bigger house in the same plot. The outcome is that smaller houses sell faster at a higher price per square meter than larger houses. Smaller houses are more affordable than larger houses.Social implicationsThere is a large pool of buyers for smaller houses than bigger houses. Higher demand for smaller houses results in a higher price per square meter for smaller houses than the price per square meter for bigger houses. Respectively the TOM for smaller houses is shorter than the TOM for bigger houses.Originality/valueThe database used is unique, from an estate agent located in Paphos that managed to sell more than 27,000 properties in 20 years. This data set is the most accurate information for Cyprus' property transactions.
Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resolution, though it is constrained by its poor temporal resolution. One important merit shared by the EEG and fNIRS is that both modalities have favorable portability and could be integrated into a compatible experimental setup, providing a compelling ground for the development of a multimodal fNIRS–EEG integration analysis approach. Despite a growing number of studies using concurrent fNIRS-EEG designs reported in recent years, the methodological reference of past studies remains unclear. To fill this knowledge gap, this review critically summarizes the status of analysis methods currently used in concurrent fNIRS–EEG studies, providing an up-to-date overview and guideline for future projects to conduct concurrent fNIRS–EEG studies. A literature search was conducted using PubMed and Web of Science through 31 August 2021. After screening and qualification assessment, 92 studies involving concurrent fNIRS–EEG data recordings and analyses were included in the final methodological review. Specifically, three methodological categories of concurrent fNIRS–EEG data analyses, including EEG-informed fNIRS analyses, fNIRS-informed EEG analyses, and parallel fNIRS–EEG analyses, were identified and explained with detailed description. Finally, we highlighted current challenges and potential directions in concurrent fNIRS–EEG data analyses in future research.
The Effect Of Leadership And Organisational Culture With Information Technology As Mediator Towards Knowledge Management Among Top Management At Malaysian Public Universities

Knowledge management is a complex and critical task in institutes of higher learning. On the other hand, comprehensive research is relatively scarce in public universities for knowledge management. This paper aims to examine the effect of knowledge management from the perspectives of leadership, organisational culture, and information management. Thus, the quantitative method approach was used. Data were collected using self-administered questionnaires from 285 academic senate members. Data obtained were analysed using SPSS for descriptive statistics to describe the respondents' demographic profiles and inferential research using structural equation modeling with AMOS. Samples were drawn using a simple random sample, and the sample size was obtained using the Krejcie and Morgan formula (1970). The findings showed that all dimensions examined in the study strongly demonstrated a significant role in sustaining knowledge management practice. Moreover, the results generated have supported all of the study's hypotheses. Concurrently, it is proposed that higher education institutions should consider variables such as leadership, organisational culture, and information technology when boosting the effectiveness of knowledge management and preserving sound knowledge management practice. More importantly, information communication technology should be extensively utilized for management, mediation, decision-making, and knowledge exchange between individuals.
Association between Glucocorticoids and Mortality in Patients with Severe Pneumonia: A Systematic Review and Meta-Analysis Based on Randomized Controlled Trials

Objective To explore the associations between glucocorticoid use and the clinical outcome of patients with severe pneumonia. Methods Medical databases including PubMed, EMBASE, and ScienceDirect were searched for relevant literature. Two independent researchers extracted the primary endpoint from the included literature. The Cochrane Q test and I2 statistics were used to evaluate the interstudy heterogeneity. The combined risk estimates were calculated by random effect model, and the source of heterogeneity was evaluated by subgroup analysis. Funnel plot and Egger's test were used to assess publication bias. P < 0.05 denoted statistical significance. Results A total of 12 literature, including 8171 patients with 1083 deaths, were included in this study for meta-analysis. The use of glucocorticoids significantly increased the mortality (RR = 1.44, 95% CI: 1.13, 1.84, P < 0.001), the risk of requiring mechanical ventilation (RR = 1.62, 95% CI: 1.30, 2.02, P < 0.001), and the incidence of nosocomial infection (RR = 1.36, 95% CI: 1.01, 1.82, P = 0.04) in patients with severe pneumonia as compared with the control group. In addition, the use of glucocorticoids did not seem to be associated with length of treatment in the intensive care unit (mean difference = 1.47, 95% CI: -1.04, 3.96, P = 0.25) and the length of hospital stay (mean difference = 0.55, 95% CI: -3.90, 4.99, P = 0.81). Conclusion The use of glucocorticoids may increase the mortality, the incidence of hospital-acquired pneumonia, and the need for mechanical ventilation in patients with severe pneumonia.
Enhancing heat transfer in nanofluids by carbon nanofins

Nanofluids are suspensions of nanoparticles and fibers which have recently attracted much attention due to their superior thermal properties. Here, nanofluids are studied in the sense of nanofins transversally attached to a surface, so that dispersion within a fluid is mainly dictated by design and manufacturing processes. We focus on single carbon nanotubes thought as nanofins to enhance heat transfer between a surface and a fluid in contact with it. To this end, we first investigate the thermal conductivity of those nanostructures by means of classical non-equilibrium molecular dynamics simulations. Next, thermal conductance at the interface between a single wall carbon nanotube (nanofin) and water molecules is assessed by means of both steady-state and transient numerical experiments. Numerical evidences suggest a pretty favorable thermal boundary conductance (order of $10^{-7}$ $[W m^{-2} K^{-1}]$) which makes carbon nanotubes ideal candidates for constructing nanofinned surfaces.
The Pnictogen Bond, Together with Other Non-Covalent Interactions, in the Rational Design of One-, Two- and Three-Dimensional Organic-Inorganic Hybrid Metal Halide Perovskite Semiconducting Materials, and Beyond

The pnictogen bond, a somewhat overlooked supramolecular chemical synthon known since the middle of the last century, is one of the promising types of non-covalent interactions yet to be fully understood by recognizing and exploiting its properties for the rational design of novel functional materials. Its bonding modes, energy profiles, vibrational structures and charge density topologies, among others, have yet to be comprehensively delineated, both theoretically and experimentally. In this overview, attention is largely centered on the nature of nitrogen-centered pnictogen bonds found in organic-inorganic hybrid metal halide perovskites and closely related structures deposited in the Cambridge Structural Database (CSD) and the Inorganic Chemistry Structural Database (ICSD). Focusing on well-characterized structures, it is shown that it is not merely charge-assisted hydrogen bonds that stabilize the inorganic frameworks, as widely assumed and well-documented, but simultaneously nitrogen-centered pnictogen bonding, and, depending on the atomic constituents of the organic cation, other non-covalent interactions such as halogen bonding and/or tetrel bonding, are also contributors to the stabilizing of a variety of materials in the solid state. We have shown that competition between pnictogen bonding and other interactions plays an important role in determining the tilting of the MX6 (X = a halogen) octahedra of metal halide perovskites in one, two and three-dimensions. The pnictogen interactions are identified to be directional even in zero-dimensional crystals, a structural feature in many engineered ordered materials; hence an interplay between them and other non-covalent interactions drives the structure and the functional properties of perovskite materials and enabling their application in, for example, photovoltaics and optoelectronics. We have demonstrated that nitrogen in ammonium and its derivatives in many chemical systems acts as a pnictogen bond donor and contributes to conferring stability, and hence functionality, to crystalline perovskite systems. The significance of these non-covalent interactions should not be overlooked, especially when the focus is centered on the rationale design and discovery of such highly-valued materials.
Assessing the Efficacy and Social Validity of CriaTivo, a Curriculum-Based Intervention to Promote Self-Regulation of Writing in Portuguese Elementary Education

Writing has a leading role in learning and, although elementary-school curricula emphasize the development of this complex skill, many students still struggle with their writing performance. This study aimed to assess the efficacy and social validity of CriaTivo, a curriculum-based intervention developed following a Response to Intervention model to promote self-regulation of the writing process (i.e., planning, monitoring, revising) applied to the written composition of narrative texts across third and fourth grades. Two hundred eighty-one Portuguese students (55% boys, M = 8.58 years, SD = 0.79) and their teachers participated in the study. A mixed-methods research design was used, and data was collected at two points in time. Regarding the intervention’s efficacy, results were promising, depicting improvements at posttest in students’ planning and monitoring skills, as also in their writing quality. The findings also supported the intervention’s social validity for both students and teachers. Despite requiring further research, CriaTivo appears to be a promising curriculum-based intervention which responds to the previously identified research and practice needs.