Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF THE EPIDEMIOLOGICAL PANORAMA OF HOSPITALIZATIONS FOR FEMUR FRACTURE IN BRAZIL FROM 2018 TO 2020

: The femur is one of the bones most exposed to trauma in the human body, so it represents the main cause of fracture care, mainly due to falls among the elderly and high-energy trauma among young people and adults. Based on the above situation, the objective of this study was to describe the epidemiological profile of hospitalizations for femur fractures throughout Brazil, from 2016 to 2019. For this purpose, a longitudinal observational analysis was used, based on the data obtained in the SUS hospital admissions information system (SIH-SUS: www2.datasus.gov.br). The results indicate that there were 411,865 hospitalizations over the four years described. Individuals between 20 and 29 years of age and over 70 years of age were more affected, with a prevalence of males. Thus, it was concluded that hospitalizations in young and elderly predominate, in males and in the Southeast region. Car accidents and diseases acquired in senility probably contribute to this profile.
Optimal Solar Power System for Remote Telecommunication Base Stations: A Case Study Based on the Characteristics of South Korea’s Solar Radiation Exposure

This paper aims to address both the sustainability and environmental issues for cellular base stations in off-grid sites. For cellular network operators, decreasing the operational expenditures of the network and maintaining profitability are important issues. Hence, this study addresses the feasibility of a solar power system based on the characteristics of South Korean solar radiation exposure to supply the required energy to a remote cellular base station. The HOMER is used to determine the optimum size of the system components, to perform an energy production analysis, and to analyse the cost details of the project. The simulation results show that the proposed solar power system can achieve total operational expenditure savings of up to 48.6% by using sustainable and clean energy. This result means a significant long-term benefit can be achieved for cellular network operators.
The value and challenges of providing and accessing Government open data in developing countries: Kenyan context from a citizen’s perspective

In the recent years, Governments both in developed and developing countries are embracing open data initiatives as fundament al in facilitating government transparency, accountability, and public participation by making data freely available to the public. In addition, open data serves as an essential cornerstone in supporting technological innovation and economic growth by enabling third parties to develop new kinds of digital applications and services (Gray 2014; Ding et al. 2011; Shadbolt et al. 2012). Despite the rising uptake of such initiatives, little has been written on the experience as well as the skills and knowledge for citizens in open data and technology environments. This paper seeks to fill this gap by presenting unique lessons learnt from the implementation of Kenya’s globally acclaimed Open Data Portal which was launched in July 2011. Kenya forms an interesting study choice as the country was the first developing country in sub-Saharan Africa and the second on the continent after Morocco to develop the portal. The portal, powered by Socrata Inc, aims to make core government developmental, demographic, statistical and expenditure data available for researchers, policymakers, ICT developers and the general public. The varying technological, economical, and cultural differences in Kenya significantly affect access and usage of the portal as seen in wide inequalities in technical expertise, internet access, and extent of use. In addition, there are various system and management challenges inhibiting the utility and ease of interaction of the Portal. These challenges include empty datasets, broken links, obsolete information, and lack of numerous datasets requested by the public which date back to over two years. The authors who are Kenyan citizens explore the challenges and best practices learnt from implementation of Kenya Open Data Portal and discuss from a citizen’s view point these unique and interesting findings and how they relate and contrast to other countries.
R²IPoints: Pursuing Rotation-Insensitive Point Representation for Aerial Object Detection

Anchor-free aerial object detection methods have recently attracted much attention due to their simplicity and efficiency. However, the performance is still unsatisfactory due to the following two main limitations. On the one hand, the anchor-free detector employs ordinary convolution layers with axis-aligned receptive fields to extract object features, resulting in lacking internal mechanisms to handle the rotation variance. On the other hand, the detector sacrifices much semantic information to achieve faster detection, leading to the inability to deal with objects’ high interclass similarity and intraclass diversity. To address these issues, in this article, we present a unique anchor-free detector, termed rotation-insensitive point representation (<inline-formula> <tex-math notation="LaTeX">$\text{R}^{2}$ </tex-math></inline-formula>IPoints), of which a set of category-aware points are employed to encode the spatial and semantic information of the arbitrary-oriented objects. Specifically, we first devise a stacked rotation convolution module (SRM) to encourage the learning of <inline-formula> <tex-math notation="LaTeX">$\text{R}^{2}$ </tex-math></inline-formula>IPoints by adaptively modeling orientation-agnostic interdependencies over stochastically rotated features. Meanwhile, we further introduce a class-specific semantic enhancement module (CSM). It performs category-aware semantic activation to recalibrate features, thus enabling the point representation to be aware of object categories. Through jointly optimizing the two proposed modules in an end-to-end manner, <inline-formula> <tex-math notation="LaTeX">$\text{R}^{2}$ </tex-math></inline-formula>IPoints could simultaneously generate rotation-insensitive and category-aware point representation. Extensive experiments on the challenging DIOR and DOTA datasets demonstrate the superiority of the proposed method. We achieve 72.7% mAP on DIOR and 74.34% mAP on DOTA, surpassing the baseline method of +2.4% mAP and +2.49% mAP, respectively. The code is available at <uri>https://github.com/shnew/R2IPoints</uri>.
Parametric Study Of Broadband Inverted SuspendedLinear Polarized Antenna

In this paper, the parametric study of a broadband inverted suspended rectangular patch with rectangular slot which performed as linear polarized antenna is presented. The operating frequency for the proposed antenna is at 2.4GHz, which is for Wireless Local Area Network (WLAN) application. The performances for the proposed linear polarized antenna are investigated with the variation of different design parameters, which included the width of rectangular slot, X,length of rectangular slot, Y, separation of strip line from rectangular slot, A, and thickness of air gap, Gap. This antenna is designed by using method of inverted suspended, where the copper ground plane and the inverted rectangular patch is separated with air gap. This technique is used to enhance to bandwidth and gain of the proposed antenna. The simulation is done using Computer Simulation Technology (CST) software. The performance of linear polarization antenna can be verified based on the axial ratio result, where the axial ratio for linear polarized antenna is above 3dB.
Economic Impact Analysis of Bridge Construction

Traffic disruption from bridge construction has been reduced to several hours through the development of methods characterized as accelerated bridge construction. Associated risks and additional activities involved in the accelerated construction increase initial project cost. This additional cost is offset by the benefits of reduced mobility impact time. Traditionally, the savings in user cost from reduced mobility impact time are used to justify the additional cost of accelerated construction implementations. This paper presents a comprehensive cost model for bridge construction that incorporates the economic impact on surrounding communities and businesses. This economic impact model incorporates user costs, environmental costs, and business revenue changes. The M-100 over the CN Railroad bridge replacement project in Potterville, Michigan, is presented here as a case study to demonstrate the application of economic impact analysis concepts and procedures. This bridge replacement was the third slide-in (i.e., lateral slide) project completed by the Michigan Department of Transportation. Economic impact analysis revealed the benefits of the implementation of the lateral slide bridge construction method at this site.
Increased temperature reduces the positive effect of sulfide-detoxification mutualism on Zostera noltii nutrient uptake and growth

: Seagrass meadows form essential ecological components in coastal zones but are rapidly declining worldwide due to anthropogenic impacts, including eutrophication and climate change-related heat waves. An important consequence of increased eutrophication is organic matter input in the sediment, which, together with raised temperatures, stimulates the production of toxic sulfide. Although multiple recent studies have highlighted that seagrass can engage in a mutualistic relationship with lucinid bivalves alleviating sulfide toxicity in the rhi-zosphere, it remains unclear how this mutualism is affected by temperature and eutrophication. To unravel this relation, we investigated the response of the seagrass Zostera noltii to contrast-ing sediment organic matter conditions, temperatures and presence/absence of the lucinid clam Loripes orbiculatus in a full-factorial mesocosm experiment. Results demonstrate that temperature increased porewater sulfide and nutrient levels, particularly in treatments with high sediment organic matter content. Interestingly, L. orbiculatus reduced not only sulfide levels, but also porewater nutrients. The re moval of sulfide in turn stimulated Z. noltii growth, despite lower nutrient availability. Finally, in creased temperature suppressed the mutualistic benefit for Z. noltii as sulfide detoxification be came hampered. We conclude that, as eutrophication re mains an issue in the coastal zone and temperature extremes will likely become more common in the future, seagrass meadows where lucinids occur may need to increasingly rely on this mutualism. At the same time, however, this interaction will become more strained, with an inherent increasing risk of mutualism breakdown.
Spatial point pattern analysis of drug related crimes in October 2017 in Manila City

ABSTRACT Many studies and statistical reports presented by anti-drug agencies in the Philippines suggest that illicit drug use in the Philippines had been increasing substantially. This study aims to analyse the locations of drug-related incidents in Manila City in October 2017 through the analysis of spatial point patterns. The point pattern for drug-related crimes was then tested for spatial dependence with specific establishments in Manila City such as schools, churches, and police stations. Notable results presented in this paper are: (i) the imposition of Philippine Drug Enforcement Agency to handle all drug-related crimes had significantly decreased the number of reported drug crimes, (ii) drug-related crimes were clustered on residential areas, (iii) drug-related crimes were inclined to happen far from colleges and universities, and (iv) drug-related crimes happened more frequently near public high schools.
SARS-CoV-2 Infection and Taste Alteration: An Overview

Since the worldwide spread of SARS-CoV-2 infection, the management of COVID-19 has been a challenge for healthcare professionals. Although the respiratory system has primarily been affected with symptoms ranging from mild pneumonia to acute respiratory distress syndrome, other organs or systems have also been targets of the virus. The mouth represents an important route of entry for SARS-CoV-2. Cells in the oral epithelium, taste buds, and minor and major salivary glands express cellular entry factors for the virus, such as ACE2, TMPRSS2 and Furin. This leads to symptoms such as deterioration of taste, salivary dysfunction, mucosal ulcers, before systemic manifestation of the disease. In this review we report and discuss the prevalence and socio-demographics of taste disturbances in COVID-19 patients, analysing the current international data. Importantly, we also take stock of the various hypothesized pathogenetic mechanisms and their impact on the reported symptoms. The literature indicated that COVID-19 patients frequently present with gustatory dysfunction, whose prevalence varies by country, age and sex. Furthermore, this dysfunction also has a variable duration in relation to the severity of the disease. The pathogenetic action is intricately linked to viral action which can be expressed in several ways. However, in many cases these are only hypotheses that need further confirmation.
Toward Eco Green Energy: Fabrication of DSSC from Recycled Phone Screen

The dye-sensitized solar cell was fabricated using discarded mobile phone. The recycled mobile screen was used as counter electrode. In the fabrication process, the use of recycled materials promotes eco green energy and alternative source for dye-sensitized solar cells (DSSC). The ITO substrate was used as photoelectrode growing zinc oxide (ZnO) by hydrothermal growth. The natural plant Alkanna tinctoria root extract was used as photosensitizer and N719 was used as reference dye. The power to conversion efficiency achieved as 0.0244% by natural plant Alkanna tinctoria root. The aim of this study is to develop a culture of using recycled items toward eco green energy production as well as research work may also be carried out by these discarded mobile screen as photo and counter electrode.
Immunity after HPV Vaccination in Patients after Sexual Initiation

Vaccinations against human papillomavirus (HPV) are included in the primary prevention of precancerous intraepithelial lesions and HPV-related cancers. Despite the undeniable effectiveness of vaccination in the juvenile population, there is still little research on the effect in patients after sexual initiation. Our study aims to assess anti-HPV (L1 HPV) antibodies in healthy patients and diagnosed cervical pathology after 9-valent vaccination. We provide a prospective, ongoing 12-month, non-randomised pilot study in which 89 subjects were enrolled. We used an enzyme-linked immunosorbent assay to determine IgG class antibodies to HPV. We noted significantly higher levels of antibodies in vaccinated individuals than in the unvaccinated control group. The above work shows that vaccination against HPV might be beneficial in patients after sexual initiation as well as in those already diagnosed with HPV or SIL infection.
The Role of Information and Communication Technology in Computing

Computing is a day-to-day activity that we encounter in our daily operations. Most of the operations that we carry out require technology of one type or the other. Information and communication Technology has drastically advanced and organizations have had no choice but to automate their key operations to remain relevant. Activities which we undertake such as buying or selling of goods and services, communication, learning and teaching, among other activities, utilize technology. With the significant advances in ICT over the last half century, there is an increasing perception that computing will one day be the 5th utility. ICT is likely to provide the basic level of computing service that is considered essential to meet the everyday needs of the general community. This paper examines the role of ICT in computing by reviewing literature in the related fields.
Multilevel Influences on Providers' Delivery of Contraceptive Services: A Qualitative Thematic Analysis

Introduction: Access to a full range of contraceptive services is essential for quality health care. Contraceptive provision practices of primary care providers play an important role in patients' decision-making about their reproductive health care. Understanding the multilevel factors influencing contraceptive care delivery in primary care settings is critical for advancing quality care. This study offers an in-depth examination of influences on providers' delivery of contraceptive services across multiple primary care specialties and practice settings to identify issues and strategies to improve care. Materials and Methods: Twenty-four in-depth face-to-face interviews were conducted in 2017 with primary care providers, including family physicians, gynecologists, pediatricians, and nurse practitioners from academic settings, private practices, and health centers. Interviews were transcribed and analyzed thematically. Results: Providers described a complex set of influences on their provision of contraception across multiple ecological contexts. Seven major themes emerged from the qualitative analysis, including six types of influence on provision of contraception: organizational, individual provider-related, structural and policy, individual patient-related, community, and the lack of influences or barriers. Providers also discussed the sources they access for information about evidence-based contraception counseling. Conclusions: A diverse set of providers described a complex system in which multiple concentric ecological contexts both positively and negatively influence the ways in which they provide contraceptive services to their patients. To close the gaps in contraceptive service delivery, it is important to recognize that both barriers and facilitators to patient-centered contraceptive counseling exist simultaneously across multiple ecological contexts.
Optimizing within-distance queries by approximating shapes with maximal bounded boxes

Background: In geospatial query processing, spatial containment and intersection queries can be efficiently answered from the index. There is, however, a class of queries (such as within-distance) with a semantics that implies that every shape in the database is a potential match and should, in principle, be compared with the threshold. Naturally, this is impractical and optimizations have been developed that efficiently refine the set of candidate shapes before starting to actually compute distances and apply the threshold. In the case of the within-distance queries, many instances can be discarded in advance as too distant. Since geospatial databases organize data as a hierarchy of bounding boxes, this already provided the first direct optimization as the actual distance cannot be smaller than the distance between the bounding boxes. One can easily understand that there are shape configurations that give bounding boxes that are not very selective for near-by shapes. That is, configurations where there are shapes outside the requested distance but within the request distance from the bounding box. Methods: In this article, we investigate a further optimization in addition to and after comparing the bounding boxes, but before computing precise distances. We describe the distance optimizer operation currently used by PostGIS and show how the existing implementation prevails over approaches that use additional approximations. We implement a recursive algorithm to calculate the minimal possible largest inner rectangles of geometries. Results: We observe that the performance of the distance operation cannot be improved by using the inner approximations instead of the actual shapes. The overheads of the inner rectangles would not be recovered from calculating the distance between simpler geometries. Conclusions: The execution time of the distance operator has a small dependence on polygon complexity. Conclusively, an inner approximation for complex polygons cannot out-perform the standard PostGIS implementation.
Automatic classification of instruments from supervised methods of machine learning

Sorting instruments is not an easy task for humans or computers, especially when it comes to elements with the same acoustic properties, such as wind, percussion, or strings. Nevertheless, the use of audio descriptors and artificial intelligence techniques can make this duty more accessible. In this paper, three supervised methods, Naive Bayes, decision tree and Support Vector Classifier (SVC) are used to categorize acoustic guitar and bass sounds in a database, using as a parameter the information extracted from audio descriptors. The research resulted in a performance comparison of these three algorithms, considering their hit rates and processing time when classifying samples in different parts of the dataset. After all, some relevant considerations about the feasibility of automatically classifying instruments are presented.
A Novel Synthetic Approach of Functionalised GO and CNT to Nanocomposite Containing Active Nanostructured Fillers for Classical Isocyanate Curing

: A novel synthetic method has been developed by utilizing the chemical reactivity of functionalized graphene and CNT with a covalent combination of chemically diverse GO/FCNT and toluene diisocyanate. Thereby yield a synergistic polymer nanocomposite. Comprehensive composite material has simultaneous covalent as well as π - π interactions confirms sp2-hybridized frameworks of graphene oxide and MWCNTs by Raman absorption spectra at 1345 and 1590 cm −1 of D and G band respectively. Toluene diisocyanate and GO/FCNT inspired polymeric formulation obtained by the classical curing reaction initiated by ultrasound sonication. This method allowed 50 wt. % doping of GO/FCNT without segregation ensures good adhesion to the law steel surface. Large surface area and morphological character of GO and FCNT by SEM and TEM ensure stable and dispersed integrated molecules. It has advantages over the high-temperature hazardous curing reaction overcomes the problem of graphene exfoliation and does not allow CNT slipping within the bundle to falls apart at higher concentration.
Antimicrobial Resistance and Molecular Epidemiology of Staphylococcus aureus from Hunters and Hunting Dogs

Several studies have showed that a dog-to-human transmission of Staphylococcus aureus occurs. Hunting dogs do not have as much contact with their owners as dogs that live in the same household as the owners; however, these dogs have contact with their owners during hunting activities as well as when hunting game; therefore, we aimed to isolate S. aureus from hunters and their hunting dogs to investigate a possible S. aureus transmission. Nose and mouth samples were collected from 30 hunters and their 78 hunting dogs for staphylococcal isolation. The species identification was performed using MALDI-TOF. The antimicrobial susceptibility profiles were accessed using the Kirby–Bauer method and respective antimicrobial resistance genes were investigated by PCR. Multilocus sequence typing (MLST) and spa- and agr-typing was performed in all S. aureus isolates. S. aureus were detected in 10 (30%) human samples and in 11 (15.4%) dog samples of which 11 and 5 were methicillin-resistant S. aureus (MRSA). Other staphylococci were identified, particularly, S. pseudintermedius. Most S. aureus isolates were resistant to penicillin, erythromycin, and tetracycline. Evidence of a possible transmission of S. aureus between human and dogs was detected in three hunters and their dogs. S. aureus isolates were ascribed to 10 STs and 9 spa-types. A moderate colonization of S. aureus in hunting dogs and their owners was detected in this study. A few dog-to-dog and dog-to-human possible transmissions were identified.