Miracle-dz/UniFAR-FTUs huggingface dataset:
Domestic Dog and Cat Bites: Epidemiology and Analysis of 823 Cases over the Last 5 Years

Background: In response to the increasing incidence of bite injuries along with the growing population of household pets in Korea, this study aims to assess the morbidity of dog and cat bites and to identify factors that influence the duration of treatment and the need for surgical intervention and hospitalization. Methods: We conducted a retrospective review of data on patients who were treated at our institution for animal bite injuries. Eight hundred and twenty-three patients over the 5 years from January 2014 to December 2018 were identified for analysis on incidence of animal bites across different variables. Results: There were no significant differences between dog and cat bites in terms of patients’ age, sex, or seasonal distribution of the incidences. However, the majority of bites were from dogs (82.5%). Cat bite injuries were significantly more likely to occur in the upper extremities (P<0.001). The dog group required significantly longer treatment periods than the cat group, regardless of the site of injury (P<0.001). Of the 823 patients, the majority healed with secondary intentions, but 84 required surgical intervention owing to various complications. Conclusion: This study provides a comprehensive overview of the epidemiology of animal bite injuries in Korea. Overall, the upper extremities were more prone to injury than other regions. Dog bites required longer treatment periods and more surgical interventions than cat bites. Also, positive culture growth results and facial bite injuries were predictive factors for surgery. With effective wound management, bite wounds can successfully heal with minimal sequelae.
Verification of Stochastic Reach-Avoid Using RKHS Embeddings

A solution to the terminal-hitting and first-hitting stochastic reach-avoid problem for a Markov control process is presented. This solution takes advantage of a nonparametric representation of the stochastic kernel as a conditional distribution embedding within a reproducing kernel Hilbert space (RKHS). Because the disturbance is modeled as a data-driven stochastic process, this representation avoids intractable integrals in the dynamic recursion of the reach-avoid problem since the expectations can be calculated as an inner product within the RKHS. An example using a highdimensional chain of integrators is presented, as well as for Clohessy-Wiltshire-Hill (CWH) dynamics.
Estimates of the biogenic volatile organic compounds emission in Poland during July 2015

Natural emissions of volatile organic compounds (VO Cs), especially from terrestrial plants, have significant effects on the atmospheric chemical com p sition and physical characteristics. They take pa rt in the formation of new compounds, including secondary pol lutants such as tropospheric ozone, as they are hig hly reactive and their residence time in air is relativ ely short. For this reason, a reliable inventory of bi genic volatile organic compounds (BVOCs) emission is of significan t importance in regional air quality modelling and assessment. In the paper, the preliminary studies o n the BVOCs emission in Poland were presented, with the use of the MEGAN v2.1 (Model of Emissions of Gases and Aerosols from Nature) empirical emission model driv en with meteorological fields generated in the WRF v3. 8 (Weather Research and Forecasting) model. The est imation of volatile organic compounds emission from vegetat ion in the area of Poland for July 2015 was carried out at spatial resolution of 4 km based on default 16 glob al PFTs (Plant Functional Types) and emission facto rs distributions. BVOCs emission inventories were divi ed into three main groups: isoprene, monoterpenes a d other volatile organic compounds (OVOCs). Their total est ima ed emission rates, spatial distributions and da ily variability were analysed. The results of the study will define directions of further research on the BVOCs emission in the area of Poland and possibilities to improve their assessment.
The Rise and Fall of Regional Industries: The Roles of Inter-Industry Relatedness

This paper addresses one of lasting issues in regional development: how regions manage to develop new industries while others fail to do so. It focuses on regional knowledge that is arguably reflected by industry structures. Using inter-industry relatedness measure as a tool to analyse the evolution of industries at province level, this study finds that industries that are close to a province’ portfolio have higher probability to emerge and thrive in that province, whereas industries that are less related to its provinces’ portfolio tend to decline and exit. Therefore, regional industrial policies should focus on potential industries that are rather close to provinces’ portfolio.
Levels of different cytokines in women and men with asymptomatic genital infection caused by Chlamydia.

INTRODUCTION Immune response to genital Chlamydia trachomatis infection is involved in both immunity and pathology. The cytokine profile during infection has been implicated in the disease outcome, either resolution or severe sequelae. METHODOLOGY In total, 3900 patients were analyzed for presence of genital infections caused by Chlamydia using molecular assays. Interleukins (IL) IL-10, IL-17, IL-6, IL-2 and chemokine IP-10 were estimated by ELISA in urine, cervical swabs and semen samples. Statistical analysis was performed using the T student test. RESULTS A total of 47 out of 3900 samples (1.2%) were found to be positive for Chlamydia trachomatis based on the Real Time (RT) PCR results. Statistical analysis revealed that the differences between Chlamydia trachomatis positive and negative samples regarding levels of cytokines were not signiﬁcant. CONCLUSIONS Our results demonstrated that no signiﬁcant difference in cytokine concentrations exists in Chlamydia trachomatis infected patients when compared to healthy controls. In further study, we aim to test on a greater number of positive samples a greater number of cytokines involved in the immune response to Chlamydia trachomatis infections.
Colonization and Cultural Values of Yorùbá People: A Case of Traditional Drums in Yorùbá Land

Culture is one of the marks by which a community of people of a nation is normally identified. Culture is a phenomenon that distinguishes one ethnic tribe from the other. Various cultures can be identified among the people that are found in a particular community setting. Some cultures can be similar among different people but cultures that differ one from the other are peculiar to people of various tribes. Culture and tradition are sometimes used interchangeably. However, these two concepts have some differences. Tradition is rooted in religious beliefs of a people while culture is embedded in the social activities and social values of a people. Culture is multi-dimensional. Among the Yorùbá ethnic group of South Western Nigeria, there are different cultures that can be identified. Some of these cultures include but not limited to: tribal marks, mode of greetings, dressing/hairstyle and music in which drums are embedded. The focus of this paper is on the use of traditional drums among the Yorùbá. The paper shall examine the origin of drum beating, types of drums and the type of drum beating that is peculiar to each activity and the phenomenon of drum beating in the past and now. The paper discusses the influence the modern technological development has brought into the issue of traditional drums both in positive and negative ways. The paper concludes that this culture is gradually fading away among the Yorùbá people and observed that this is due to the fact that not much value is placed on Yorùbá culture anymore and this is very inimical to the socio-cultural belief of the people.Keywords: culture, traditional Drums, technology, socio-cultural belief_________________________________________DOI > https://doi.org/10.24071/joll.2019. 190214
Predation by an Eastern Brownsnake, Pseudonaja textilis (Duméril, Bibron, and Duméril 1854), on a Mallee Black-backed Snake, Parasuta nigriceps (Günther 1863)

C O N S E R V A T I O N A L E R T  World’s Mammals in Crisis . 220  More Than Mammals . 223  The “Dow Jones Index” of Biodiversity . 225
Design of Soft Continuum Manipulators Using Parallel Asymmetric Combination of Fiber Reinforced Elastomers

Soft continuum manipulators have large workspace, dexterity and adaptability, but at the cost of complex design construction highlighted by concatenating several individually controlled serial segments. In this paper, we propose a new designarchitecture for a soft continuum manipulator composed of a parallel combination of pneumatic actuators. The BR2 manipulator, featured in this paper is asymmetric as it combines one soft bending (B) actuator and two soft rotating (R2) actuators, as opposed to state of the art symmetric architectures that adopt bending segments. Spatial deformation modes are achieved by combining curvature and torsion of the individual actuators. This paper formulates a forward analysis method based on Cosserat rod mechanics to predict the spatial deformation of the manipulator under the effect of external loads with an accuracy less than 9 % of the manipulator length. The model takes into account ‘the coupling effect’ inherent to the asymmetric combination, where pressurizing the rotating actuator attenuates the bendingcurvature and vice versa. Consequently, the paper studies the optimal design of the manipulator constituents that minimize the coupling, and thus maximize the workspace and dexterity. A detailed performance study of the BR2 manipulator on aswiveling base demonstrates a spatial workspace quantified by an axisymmetric area, and sufficient dexterity such that at least 87% of the workspace can be approached with two or more orientations. These are validated through obstacle avoidance, and a pick and place task. The manipulator is also capable ofwhole arm manipulation by spiraling along cylindrical objects of varying diameters. These performance attributes surpass any other single segment module and is a potential building block for constructing customized continuum manipulators.
BEAMES: Interactive Multi-Model Steering and Inspection for Regression Tasks

— Interactive model steering helps people incrementally build machine learning models that are tailored to their domain and task. Existing visual analytic tools allow people to steer a single model (e.g., assignment attribute weights used by a dimension reduction model). However, the choice of model is critical in such situations. What if the model chosen is sub-optimal for the task, dataset, or question being asked? What if instead of parameterizing and steering this model, a different model provides a better ﬁt? This paper presents a technique to allow users to inspect and steer multiple machine learning models. The technique steers and samples models from a broader set of learning algorithms and model types. We incorporate this technique into a visual analytic prototype, BEAMES, that allows users to perform regression tasks via multi-model steering. This paper demonstrates the effectiveness of BEAMS via a use case, and discusses broader implications for multi-model steering.
Musical preference : Personality , style , and culture

All material supplied via JYX is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Musical Preference : Personality, Style, and Music Use Vuoskoski, Jonna
Application Model Of Sufficiency Economy Philosophy In OTOP (One Tambonone Product) Business Operation For Sustainable Success

The objective of this study is to examine the role of sufficiency economy philosophy in One Tambon One Product (OTOP) programs and sustainable business success. In this direction, the relationship between sufficiency economy philosophy, local product development, local product quality, local product marketing and sustainable business success was considered.This study adopted quantitative research along with cross-sectional research design. A questionnaire as designed for data collection and 5-point Likert scale was employed. Data were collected from the people related to the OTOP program. Data were analyzed through Partial Least Square-Structural Equation Modeling (PLS-SEM). It is found that; sufficiency economy philosophy has positive role to promote OTOP which lead to the sustainable business success. Results of the study shows that; sufficiency economy philosophy has positive effect on local product development which shows positive role to promote sustainable business success. Furthermore, local product quality also has positive effect on sustainable business success, supported by sufficiency economy philosophy. Similarly, sufficiency economy philosophy has positive influence on local product marketing which lead to the sustainable business success.
Pursuing pleasure through fear: Can being scared in the virtual world make you happier in real life?

Fear is considered a valuable emotion, evolved to provide protection and incentive to escape from potential danger. However, modern humans strive to create narratives that purposely provoke thrill and distress. But why is it that we actually enjoy emotions that are supposed to be unpleasant? This study aims to explore the mechanisms involved in the generation of fear and fear-related euphoria through new media applications. Arousal is hypothesized to be one of these fundamental mechanisms. The excitation transfer theory states that once a person is physiologically aroused due to an excitatory event, this arousal persists after its termination and can facilitate a subsequent elicited emotion in an additive manner. Accordingly, physiological arousal due to horror gameplay in Virtual Reality (VR) as opposed to conventional desktop play is inspected. To fulfill this study’s requirements, a horror computer game was created. Subsequent to the horror game, the participants’ laughter response during a tongue-twister session is compared between the two conditions. A total of 46 individuals participated in the current study. Throughout the experimental practice, arousal-related data derived from skin conductance measures where gathered. Furthermore, self-report data referring to perceived arousal and valence before the onset of the experiment, after the gameplay and subsequent to the laughter session were collected. Results indicate that VR is indeed a more fitting medium for arousal generation and negative valence induction as opposed on a conventional monitor. Despite that, no significant difference in arousal and valence was found between the two conditions during the laughter session. Results suggest that while VR horror-gameplay is more intense than desktop gameplay, it doesn't necessarily facilitate subsequent positive emotions to a greater extent.
Attribute-based credentials on smartwatches

Smartwatches are wearable technology that is becoming increasingly powerful and common in use. Improvement in smartwatch technology means faster processing speed and new ways to interact with other devices. These new capabilities come with new risks but also with new possibilities. On the one hand, wearable technology is a large threat to privacy because it can collect personal data very accurately through its sensors. On the other hand, wearable technologies may allow for new use cases, which might have been complicated with other hardware. The current generation of smartwatches is similar in processing speed to early smartphone. Because of this, it is worthwhile to research if smartwatch can do some things as good or better than other devices such smartphones. In this thesis I will explore the use of attribute-based credentials (ABCs) on smartwatches. Attribute-based credentials are a method of authentication, which provides advantages over the commonly used identity-based credentials. In contrast to identity-based credentials, attribute-based credentials allow for selective disclosure of attributes and avoid the need for an identity, allowing for easier safeguarding of privacy. In addition to exploring the usefulness and practicality of authenticating using attribute-based credentials on a smartwatch, I will implement a proof of concept application based on the existing IRMA project to show that a smartwatch implementation is technologically viable.
EFFECT OF GREEN SYNTHESIZED SILVER NANOPARTICLES ON CARNOSIC ACID CONTENT AND PHYSIO-BIOCHEMICAL PROPERTIES OF Rosmarinus Officinalis L

In biosynthesis of metal nanoparticles, it is possible to replace the old chemical synthesis methods with new environment-friendly procedures. In this study, AgNP was synthesized using extracts of Rosmarinus officinalis L. leaves, and then its effect on biochemical characters, antioxidant enzymes activity, and finally carnosic acid content was studied with its various concentrations. UV–visible spectroscopy was utilized to identify the formation of synthesized AgNP. Synthesized AgNP was confirmed the absorption maxima at 500 nm wavelength. Synthesized AgNP were measured using SEM and showed 21 nm at size and spherical shape. Application of various concentrations of synthesized AgNP demonstrated the concentration dependency so that, in concentration of 40 and 60 mM of synthesized AgNP, dry and fresh weight increased. Application of synthesized AgNP at 40 mM resulted in increase of chlorophyll amount which caused more activity in anti-oxidant enzymes and also biomass accumulation such as soluble carbohydrate and flavonoid. After treatment of synthesized AgNP at 40 mM concentration, HPLC demonstrated an increase in carnosic acid. Here, small nanoparticles revealed increased in secondary metabolites. Synthesized nanoparticles can also be utilized in order to produce natural products and plants with faster growth rates.
TaskVis: Task-oriented Visualization Recommendation

General visualization recommendation systems typically make design decisions of the dataset automatically. However, these systems are only able to prune meaningless visualizations but fail to recommend targeted results. In this paper, we contributed TaskVis, a task-oriented visualization recommendation approach with detailed modeling of the user’s analysis task. We ﬁrst summarized a task base with 18 analysis tasks by a survey both in academia and industry. On this basis, we further maintained a rule base, which extends empirical wisdom with our targeted modeling of analysis tasks. Inspired by Draco, we enumerated candidate visualizations through answer set programming. After visualization generation, TaskVis supports four ranking schemes according to the complexity of charts, coverage of the user’s interested columns and tasks. In two user studies, we found that TaskVis can well reﬂect the user’s preferences and strike a great balance between automation and the user’s intent.
THE EFFECT OF SECURITY AND USER EXPERIENCE TO REPURCHASE INTENTION OF E-COMMERCE USERS: EVIDENCE FROM TOKOPEDIA-INDONESIA

There are increasing number of e-commerce players in Indonesia from year-to-year, thus business competition in the industry become more intensive. There are several big e-commerce players in Indonesia based on number of visitors quarterly, including: Shopee, Tokopedia, Lazada, and Bukalapak. This study focuses on Tokopedia since Shopee, as the close competitor, had successfully replaced Tokopedia as the most visited e-commerce site since late 2020. This study aims to examine the user's repurchase intention of Tokopedia based on two independent variables, namely: security and user experience. 183 valid respondents are involved in data processing. Hypotheses test found that security and user experience positively affect repurchase intentions. Furthermore, the study reveals that security affects repurchase intention more than user experience.
Agroecological coverings for the sustainable production of Rambutan (Nephelium lappaceum L.)

Objective: To evaluate the influence of living and dead covers on the yield and quality of rambutan fruits (Nephelium lappaceum L.) in Soconusco, Chiapas, Mexico. Design / methodology / approach: Five treatments were evaluated, two live covers, two dead covers and an always clean control without covers. The following were evaluated: plant height, crown volume, fruit quality, fruit yield (t ha-1). The data were analyzed under a randomized block experimental design. Results: All the agroecological modalities of hedging evaluated produced fruits with the quality required for national and international commercialization. Study limitations / implications: The morphological and physiological response of the crop can change with the age of the tree. Findings / conclusions: An agroecological management strategy is presented to develop rambutan cultivation in Soconusco region.
THE EFFECT OF 8-WEEK WEIGHT TRAINING IN SWIMMING ON THE STRENGTH AND SPEED OF THE 50 METER FREESTYLE SWIMMING OF JUNIOR MEN'S SWIMMING ATHLETES

We measured the effect of giving swimming athletes training using assistive devices in the form of Hand Paddles Swim (HPS), Fins Swim (FS), and Parachute Swim (PS) for 8 weeks of treatment. Each tool was then applied to 30 research subjects who were divided into three groups. Before and after the treatment, tests were carried out in the form of strength tests (arm and leg muscle strength) and speed tests (starting speed from above, starting from the wall, freestyle legs, and freestyle hands). All treatments are given in water using the principle of resisting water resistance to increase strength and speed. The results showed that the use of tools in swimming can have a positive effect on speed and agility.
Lyapunov Analysis of Two Imbalanced Power System Areas

The transient stability is the capability of the system to preserve synchronism while being affected by large disturbances. It is a nonlinear problem that requires a simultaneous solution for many differential equations. Therefore, a thorough analysis is needed to resolve it. In this paper, we present the transient stability for multimachine under different fault cases and to analyze using the Lyapunov function. It serves as an analytical tool to determine the necessary condition to be stable. The system is stable as long as it is contained in the region of attraction. Meanwhile, the swing equation and reduced admittance matrix are used to model the system in three conditions, pre-fault, during the fault, and post-fault. The numerical simulations are conducted to verify that the synchronism can be preserved despite under faults on the transmission lines by achieving the critical clearing time.
Modelling the propagation of fractures provides a predictive method for characterising subsurface fracture networks, based on knowledge of the mechanical properties and deformation history of the geological structures in question. A method for doing simulating growth of layer-bound fracture

Naturally fractured low permeability rocks are economically important around the world as hydrocarbon reservoirs, aquifers, geothermal prospects and sites for CO2 storage, amongst other applications. Fluid flow through such rocks is very much dependent on the properties of both individual fractures (e.g. aperture, roughness, length and orientation) and those of the fracture network (e.g. fracture intensity, distribution, and connectivity).
Quantum correlations in electron microscopy: supplement

CHEN MECHEL,1 YANIV KURMAN,1 AVIV KARNIELI,2 NICHOLAS RIVERA,3 ADY ARIE,2 AND IDO KAMINER1,∗ 1Solid State Institute, Technion, Israel Institute of Technology, 32000 Haifa, Israel 2School of Electrical Engineering, Tel Aviv University, Ramat Aviv 69978, Tel Aviv, Israel 3Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA ∗Corresponding author: kaminer@technion.ac. il