Miracle-dz/UniFAR-FTUs huggingface dataset:
Table Top Salt Triage In Improving Pre Hospital Triage Capacity And Disaster Victim Handling Preparedness

Disasters have broad and complex impacts, both on humans and the surrounding environment. One of the challenges often faced in health management efforts in disaster areas is the lack of skills of nurses and other health workers in disaster victim preparedness and the ability to carry out pre hospital triage which will ultimately hamper health services. The knowledge and skills of nurses in handling disaster victims including conducting triage on victims are still in the sufficient category at 60%. In pre hospital situations, the correctness of officers in making triage decisions in handling victims has a very important role. The research objective was to determine the effect of the SALT triage table top in improving pre hospital triage capabilities and disaster victim handling preparedness. The research design used was a quasi experiment with a pre-post test with a control group. Sampling using purposive sampling technique. The number of respondents obtained was 78 people. The results of the Wilcoxon test showed a value of p = 0.000, which means that there is an influence of the SALT triage table top in increasing the ability of pre hospital triage and preparedness for handling disaster victims. Keywords: disaster; preparedness; pre hospital; table tops; triageTable Top Salt Triage Dalam Meningkatkan Kemampuan Triage Pre Hospital Dan Kesiapsiagaan Penanganan Korban BencanaABSTRAK Bencana memiliki dampak yang luas dan kompleks, baik terhadap manusia maupun lingkungan sekitarnya. Salah satu tantangan yang sering dihadapi dalam upaya penanggulangan kesehatan di daerah bencana adalah kekurangan ketrampilan perawat dan tenaga kesehatan lainnya dalam kesiapsiagaan penanganan korban bencana maupun kemampuan melakukan triage pre hospital yang akhirnya akan menghambat pelayanan kesehatan. Pengetahuan dan ketrampilan perawat dalam penanganan korban bencana termasuk melakukan triage terhadap korban masih berada pada kategori cukup sebesar 60%. Pada situasi pre hospital, kebenaran petugas dalam membuat keputusan triage dalam penanganan korban memiliki peran yang sangat penting. Tujuan penelitian untuk mengetahui pengaruh table top SALT triage dalam meningkatkan kemampuan triage pre hospital dan kesiapsiagaan penanganan korban bencana. Desain penelitian yang digunakan adalah quasi eksperiment dengan pre-post test with control group. Pengambilan sampel dengan menggunakan tehnik purposive sampling. Responden yang didapatkan berjumlah 78 orang. Hasil uji Wilcoxon menunjukkan nilai p = 0,000 yang artinya ada pengaruh table top SALT triage dalam meningkatkan kemampuan triage pre hospital dan kesiapsiagaan penanganan korban bencana. Kata Kunci : bencana; kesiapsiagaan; pre hospital; table top; triage
Running head: REDUCING STEREOTYPE THREAT

We aimed to establish whether interventions designed to reduce intergroup bias could be applied to the stereotype threat domain. In three experiments we tested the hypothesis that blurring intergroup boundaries would reduce stereotype threat. In the first study we found that female participants who thought about characteristics shared between the genders tended to show less preference for stereotypical female careers than participants in the baseline condition. In Experiment 2 participants who thought about overlapping characteristics answered more math questions correctly compared to a baseline group and participants who though about differences between the genders. In Experiment 3 we included a specific threat manipulation. Participants who completed the overlapping characteristics task before receiving the threat completed significantly more math questions correctly than participants in the baseline and threat conditions. The findings support the idea that interventions designed to reduce intergroup bias can be applied successfully in the reduction of stereotype threat.
On Fourier Series Using Functions Other than Sine and Cosine

An important aspect of Fourier series is that sin x, cos x, and all of their dilations (sin jx and cos jx for all j) create an orthogonal basis of the Hilbert space of periodic square-integrable functions with period 2π. In this paper, we define the notion of dilation basis and prove that only a pair of orthogonal sinusoidal functions can generate an orthogonal dilation basis of this space.
News Hurts: Exploring the Link Between Pandemic-Related Social Media Use and Trauma Symptoms

The link between indirect exposure to disasters via traditional media and the development of post-traumatic stress symptoms (PTSs) has long been a topic of interest in multiple fields. However, it is unclear to what degree existing findings are applicable to social media. We used random forest regression and classification to conduct an exploratory investigation into the association between type of social media use (i.e. active and passive use) and pandemic-related PTSs. Controlling for post-traumatic stress disorder (PTSD) risk factors and exposure to the pandemic, we found an association between passive social media use and high levels of pandemic-related PTSs among individuals who had not directly been exposed to the effects of COVID-19.
Interactive Learning Multimedia with Problem-Based Learning for Fifth-Grade Elementary School Students

There are limitations and a need for teacher ability to utilize technology to create innovative supporting teaching materials for students. The purpose of this research is to develop interactive learning multimedia. This type of research is development research with the ADDIE model. The subjects involved in this study were content experts, design experts, media experts, and trial students. Data were collected using the questionnaire and test methods, with assessment instruments in the form of learning achievement tests and test sheets for the validity of media products. The data obtained in the study were then analyzed using qualitative descriptive analysis techniques, quantitative descriptive, and t-test inferential statistical analysis. The results of this development research show that the design and development of interactive learning multimedia include five stages of the ADDIE model, product validity obtained from the review results of very well-qualified content experts (93.33%), very well-qualified design experts (93.75%), qualified media experts very good (93.33%), the results of the individual trials were very well qualified (93.66%), and the small group trials were very well qualified (92.56%), the results of the multimedia effectiveness test obtained an average pretest of 51.57 and an average of posttest 87.85. It was concluded that problem-based learning-based interactive multimedia is very qualified and feasible to implement and use in the Indonesian content learning process.
Pothole Detection from Dash Camera Images using YOLOv5

In this paper, we propose a new solution to automatically detect potholes on the road surface from dash camera images using a state-of-the-art deep learning based object detection algorithm, namely, You Only Look Once version 5 (YOLOv5). The dash camera image data were preprocessed and augmented as inputs to Convolutional Neural Network (CNN) models, which are trained to output the detected potholes with location bounding boxes. Through transferred learning, different sizes of CNN models with different layer architectures are evaluated in terms of mean Average Precision (mAP) and the number of frames per second (fps). Compared with previous work, experimental results show that our proposed solution using YOLOv5 achieved higher detection accuracy at faster detection speeds, while enabling tradeoffs between accuracy and speed with three different model size options.
WORKING CONDITIONS, WORK ENGAGEMENT AND HEALTH: A MEDIATION ANALYSIS

: This study investigates whether work engagement mediates the association between the Job Demands-Control model of stress and workers’ wellbeing. In this cross-sectional research, 463 workers completed the Job Content Questionnaire, the Utrecht Work Engagement Scale (UWES) and the vitality, pain and mental health subscales of the short form-36 Health Survey Questionnaire (SF-36). The study hypotheses were tested using path analysis based on structural equation models (SEM). It was found that work engagement partially mediates the associations between decision latitude and between job strain with well-being. Meanwhile, job strain was negatively associated with work engagement and well-being. Job demands were negatively associated with well-being, but, contrary to expectations,
CONSTANT-SIGN AND

We establish the existence of a smallest positive solution, a greatest negative solution, and a nontrivial sign-changing solution when the parameter λ is greater than the second eigenvalue of the Steklov eigenvalue problem. Our approach is based on truncation techniques and comparison principles for nonlinear elliptic diﬀerential inequalities. In particular, we make use of variational and topological tools, such as critical point theory, Mountain-Pass Theorem, the Second Deformation Lemma and variational characterizations of the second eigenvalue of the Steklov eigenvalue problem.
Evaluation of dandruff in vicuñas and its influence on the textile quality of fibre

The aim of this study was to evaluate the presence of dandruff in the vicuña and its influence on six main textile characteristics of vicuña fibre according to sampling site, age and sex. In the linear model four factors were included: dandruff, age, sex, fleece sampling site. The study revealed a high prevalence of dandruff, 20.55% in 2017 and 22.97% in 2021. Dandruff starts on the head and spreads to the lower part of the neck, dorsal line, anterior and central saddle. A significant reduction of mean fibre diameter (MFD) was observed in adult and female vicunas with dandruff. In the saddle and rump sites, the MFD was thinner and homogeneous, except for the lower neck, belly, arm and thigh, where the fibre showed a tendency to thicken. In addition, dandruff significantly reduces the MFD in the lower neck, anterior and central saddle. Dandruff reduces MFD (-0.63 µm), SD (-0.52 µm), SF (-1.04 µm), increases CU (6.58 °/mm) and CF (0.52%), but CV is not affected. In conclusion, the presence of dandruff in vicuñas affects welfare of the animals and influences the textile qualities of the fibre, which affects trading and income of farmer communities.
ROI Image codec Optimized for Visual Quality

With the development of compression technology, objec-tive metrics (e.g. PSNR, MS SSIM) cannot satisfy our need, especially in extreme low bit-rate compression, thus more attention is being paid on perceptual quality. People have different standards for objective evaluation. For this reason, we simplify the topic with the consideration that people will strict more on interested region, so a ROI(region of interest) based image compression model is proposed. For the ROI, we expect its reconstructed part to be more accurate, while the background, distortion is tolerable, and fake texture can be generated. Firstly, a weighted mask from saliency map is used. Secondly, to balance the difference of ROI and background area, different losses are applied separately. What’s more, GAN and LPIPS are utilized to generate more texture in background. At last, variable rate method is adopted to realize rate control, and it performs well with perceptual metric. Experiment shows that our method can achieve better performance both in visual and objective quality.
JEM-EUSO observational capabilities for different UHE primaries.

for the JEM-EUSO Collaboration Cosmic rays with energies exceeding 1018 eV, usually defined as Ultra High Energy Cosmic Rays (UHECRs), allow the possibility to study physics at energies well beyond man made accelerators. State of the art UHECR detectors have reached unprecedented exposures and have pioneered the field of Extreme Energy Cosmic Rays (EECR), cosmic rays with energies exceeding 5×1019eV. The EECR flux is extremely small, of the order of 1 particle per square kilometer per century. The next generation of UHECR and EECR detectors are expected to increase the exposure by at least one order of magnitude. The JEM-EUSO mission, currently designed to be hosted onboard the JEM module of the ISS, consists of a ultra wide field of view UV-telescope orbiting the earth at an altitude of about 400 km. JEM-EUSO will look for fluorescent UV tracks produced by Extensive Air Showers (EAS) on the night side of the earth. According to the most recent studies, the JEMEUSO mission, can be transported onto the ISS by using the SpaceX’s Dragon spacecraft. In this work we present preliminary studies on the angular and energy reconstruction performances for different types of primaries (protons, iron nuclei and gamma rays). We compare our results with previously published results for the JEM-EUSO mission in a different configuration, and find a slight improvement.
Analysis of the origin of water, carbon monoxide, and carbon dioxide in the Uranus atmosphere

Context. We present here an analysis of the potential sources of oxygen species in the Uranus atmosphere. Aims. Our aim is to explain the current measurements of H2O, CO, and CO2 in the Uranus atmosphere, which would allow us to constrain the influx of oxygen-bearing species and its origin in this planet. Methods. We used a time-dependent photochemical model of the Uranus atmosphere to ascertain the origin of H2O, CO, and CO2. We thoroughly investigated the evolution of material delivered by a cometary impact, together with a combined source, i.e. cometary impact and a steady source of oxygen species from micrometeoroid ablation. Results. We find that an impactor in the size range ~1.2–3.5 km hitting the planet between 450 and 822 yr ago could have delivered the CO currently seen in the Uranus stratosphere. Given the current set of observations, an oxygen-bearing species supply from ice grain ablation cannot be ruled out. Our study also indicates that a cometary impact cannot be the only source for rendering the observed abundances of H2O and CO2. The scenarios in which CO originates by a cometary impact and H2O and CO2 result from ice grain sublimation can explain both the space telescope and ground-based data for H2O, CO, and CO2. Similarly, a steady influx of water, carbon monoxide, and carbon dioxide, and a cometary impact delivering carbon monoxide give rise to abundances matching the observations. The time evolution of HCN also delivered by a cometary impact (as 1% of the CO in mass), when discarding chemical recycling of HCN once it is lost by photolysis and condensation, produces a very low stratospheric abundance which could be likely non-detectable. Consideration of N2-initiated chemistry could represent a source of HCN allowing for a likely observable stratospheric mixing ratio. Conclusions. Our modelling strongly indicates that water in the Uranus atmosphere likely originates from micrometeroid ablation, whereas its cometary origin can be discarded with a very high level of confidence. Also, we cannot firmly constrain the origin of the detected carbon monoxide on Uranus as a cometary impact, ice grain ablation, or a combined source due to both processes can give rise to the atmospheric mixing ratio measured with the Herschel Space Observatory. To establish the origin of oxygen species in the Uranus atmosphere, observations have to allow the retrieval of vertical profiles or H2O, CO, and CO2. Measurements in narrow pressure ranges, i.e. basically one pressure level, can be reproduced by different models because it is not possible to break this degeneracy about these three oxygen species in the Uranian atmosphere.
Search for dark matter with EDELWEISS-III excluding background from muon-induced neutrons

The aim of the EDELWEISS-III experiment is to detect the elastic scattering of WIMPs from the galactic dark matter halo on germanium bolometers. The most problematic background arises from neutrons, which can mimic a WIMP interaction in a detector. Neutrons are notably induced by high energy cosmic ray muons reaching the underground laboratory despite the 4800 m w.e. of rock overburdened. Remaining muons are tagged using an active muon-veto system of 46 plastic scintillator modules surrounding the experiment, which allows to reject most of the associated background. The goal of this thesis was to give a precise estimation of the irreducible muon-induced neutron background, needed to identify a potential WIMP signal. The expected background depends on the geometry of the experiment as well as on the used materials, both strongly modified since EDELWEISS-II. Geant4-based simulations of muons through the modified geometry were performed to derive the rate of events induced by muons in the bolometer array. This rate has been shown to be in good agreement with the measured one extracted from the Run308 data. In parallel, a lower limit on the muon-veto efficiency was derived using bolometer data only. A new method based on an AmBe source was developed to extract precisely the detection efficiency of individual modules from the simulation. From these results, it was shown that the expected background is negligible for the WIMP search analyses performed with the Run308 data and won't limit the future sensitivity of the EDELWEISS-III experiment
Zonal Application of Plant Growth Regulator in Cotton to Reduce Variability and Increase Yield in a Highly Variable Field

Variable-rate application has great potential to reduce variability and increase yield by spatially optimizing agricultural inputs. In cotton, plant growth regulators (PGRs) control excessive growth and provide suitable plant height for harvest operations. This study evaluates the effect of variable-rate PGR application compared to constant-rate application to reduce yield spatial variability and increase yield. The variable-rate approach was carried out in 2020 based on zonal applications defined by clustering analysis using soil electrical conductivity, vegetation indexes, and yield maps. Application doses and timings were determined by integrating plant height measurements for the whole field in 2019 and by zone in 2020. To compare the two procedures, cultivar and plant populations were kept constant; fertilization and accumulated rain were similar in both seasons. A reduction in yield spatial variability due to the zonal application was observed, with yield coefficient of variation (CV) decreasing from 18% in 2019 to 12% in 2020. Spatial and temporal analysis of Normalized Difference Vegetation Index satellite images showed higher CV values in 2019 (constant-rate) reaching 30% at the end of the season, whereas in 2020 (variable-rate) CV was constant (approximately 10%). Cotton yield increased from 3.5 to 4.3 t ha-1 between 2019 and 2020, which can be partially attributed to the variable-rate approach. The variable-rate approach based on application zones and plant height measurements was a viable strategy for reducing yield spatial variability and likely increasing yield in a highly variable cotton field.
A Secure and Efficient Data Transmission Method With Multilevel Concealment Function Based on Chaotic Compressive Sensing

As a result of the information explosion and the development of the technology of the Internet of Things (IoT), tons of data are collected and transmitted, some of which may concern private or confidential information. Sensors, as the building blocks of such processes, are commonly resource-limited. For instance, they rarely possess large storage space, abundant electricity reserves, or sufficient computing power. So, how to improve the efficiency of data acquisition and transmission without trimming security has attracted much attention from researchers. Recently, compressive sensing (CS) theory has been exploited to improve the efficiency of data collection and transmission, while there are some drawbacks to existing CS-based data collection and transmission schemes. For instance, many existing CS-based data transmission methods lack data encryption or privacy protection mechanisms, meaning that private or confidential information may be exposed to uncertainty if such data are captured during transmission. This article proposes a method of collecting and transmitting data securely and efficiently based on ${P}$ -tensor product (PTP) CS and secret key encryption mechanism. It could provide data security under the assumption that participants and data processing domains are trusted. And adversaries could not obtain useful information, even if they manage to capture data that are transmitted. Compared with most existing compressive-sensing-based methods, the proposed method addresses privacy protection issues by realizing multilevel critical information concealment. By reducing the scale of measurement matrices, it achieves lower computing and storage resource consumption. To transmit data more securely, it also provides an encryption mechanism with sufficient key space and high key sensitivity. Overall, the proposed method is secure, energy-efficient, and provides privacy protection functions, which makes it particularly suitable for IoT sensor nodes with restricted computing power and storage capacity.
Differential Recognition of Sporothrix schenckii, Sporothrix brasiliensis, and Sporothrix globosa by Human Monocyte-Derived Macrophages and Dendritic Cells

Background Sporotrichosis is a mycosis frequently caused by Sporothrix schenckii, Sporothrix brasiliensis, and Sporothrix globosa. The cell wall is a species-specific fungal structure with a direct role in activating the host’s immune response. The current knowledge about anti-Sporothrix immunity comes from studies using S. schenckii or S. brasiliensis and murine cells. Macrophages and dendritic cells detect and eliminate pathogens, and although the function of these cells links innate with adaptive immunity, little is known about their interaction with Sporothrix spp. Methods S. schenckii, S. brasiliensis, and S. globosa conidia or yeast-like cells were co-incubated with human monocyte-derived macrophages or dendritic cells, and the phagocytosis and cytokine stimulation were assessed. These interactions were also performed in the presence of specific blocking agents of immune receptors or fungal cells with altered walls to analyze the contribution of these molecules to the immune cell-fungus interaction. Results Both types of immune cells phagocytosed S. globosa conidia and yeast-like cells to a greater extent, followed by S. brasiliensis and S. schenckii. Furthermore, when the wall internal components were exposed, the phagocytosis level increased for S. schenckii and S. brasiliensis, in contrast to S. globosa. Thus, the cell wall components have different functions during the interaction with macrophages and dendritic cells. S. globosa stimulated an increased proinflammatory response when compared to the other species. In macrophages, this was a dectin-1-, mannose receptor-, and TLR2-dependent response, but dectin-1- and TLR2-dependent stimulation in dendritic cells. For S. schenckii and S. brasiliensis, cytokine production was dependent on the activation of TLR4, CR3, and DC-SIGN. Conclusion The results of this study indicate that these species are recognized by immune cells differently and that this may depend on both the structure and cell wall organization of the different morphologies.