Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of mortality according to hemorrhage control methods performed for hemodynamically unstable patients with traumatic pelvic fractures: A multi-center study.

BACKGROUND /Objective: We aimed to analyze the effects of hemorrhage control methods on the mortality of patients with hemodynamic instability due to pelvic fracture and investigate independent mortality risk factors in these patients. METHODS Ninety-seven pelvic bone fracture patients with hemodynamic instability who visited the emergency departments of two university hospitals over 5 years were enrolled. These patients were categorized based on 28-day mortality (survival group) and acute hemorrhage mortality (non-survival group). Forty-seven patients (48.5%) underwent pelvic angiography; 45 (46.4%), pre-peritoneal pelvic packing; and 19 (19.6%), external fixation. RESULTS Differences in hemorrhage control methods did not significantly affect mortality. However, there was a significant difference in mortality between the groups with and without hemorrhage control methods. Multivariate logistic regression analysis revealed that patient age, trauma and injury severity score (probability of survival), and blood transfusion amount within 24 h were independent risk factors for 28-day mortality. Meanwhile, patient age, Glasgow coma scale (GCS) score, systolic blood pressure (SBP), and blood transfusion amount within 24 h were independent risk factors for mortality due to acute hemorrhage. CONCLUSION Rapid and appropriate application of hemorrhage control methods can reduce acute hemorrhage-related mortality in hemodynamically unstable patients with pelvic fractures. Moreover, none of the hemorrhage control methods were superior for the decreasing mortality rate in these patients.
PENGARUH KONSENTRASI MINYAK ATSIRI KENCUR (Kaempferia galanga L.)DENGAN BASIS SALEP LARUT AIR TERHADAP SIFAT FISIK SALEP DAN DAYA HAMBAT BAKTERI Staphylococcus aureus SECARA IN VITRO

Minyak atsiri kencur (Kaempferia galang L.) antibakteri sebagai antibakteri. Penggunaan minyak atsiri dalam bentuk cair tidak praktis, sehingga perlu dibuat dalam bentuk sediaan salep basis larut air. Penelitian ini bertujuan untuk mengetahui pengaruh variasi konsentrasi minyak atsiri kencur basis salep larut air terhadap sifat fisik salep dan kemampuan salep menghambat pertumbuhan bakteri. Metode penelitian yang digunakan adalah penelitian eksperimental murni menggunkan rancangan acak lengkap pola searah. Salep dengan penambahan konsentrasi minyak atsiri kencur 1%, 3%, 5%, 7%, 9%, dan juga salep tanpa penambahan minyak atsiri sebagai kontrol negatif. Diuji sifat fisiknya (viskositas, daya sebar, daya lekat, dan daya proteksi) dan diuji daya antibakterinya dengan Staphylococcus aureus. Pengamatan terhadap penghambatan pertumbuhan bakteri dilakukan setelah diinkubasi selama 24-48 jam dan diukur diameter hambatannya. Hasil pengukuran viskositas, daya sebar, daya lekat, dan diameter hambatan diuji statistik dengan menggunakan Kolmogorov-smirnov, anava satu jalan dengan taraf kepercayaan 95% dan uji t-LSD. Hasil penelitian dapat disimpulkan bahwa salep minyak atsiri kencur dapat menghambat pertumbuhan bakteri dari konsentrasi 1% sampai dengan 9%. Semakin tinggi konsentrasi minyak atsiri kencur, maka konsistensi salep dengan basis larut air yang ditambahkan semakin sedikit, sehingga viskositas salep rendah, daya sebar semakin besar, daya melekat salep semakin rendah, dan daya hambatannya terhadap bakteri semakin tinggi. Pada salep minyak astiri kencur memberikan daya proteksi. Formula salep dengan konsentrasi minyak astiri kencur 9% memberikan kemampuan yang paling baik dalam mengahmbat pertumbuhan bakteri dan juga memperlihatkan sifat fisik yang lebih baik.
THE EFFECT OF ENVIRONMENTAL FACTORS ON FRANCHISE SUCCESS IN THE NBA'S DEVELOPMENT LEAGUE: AN APPLICATION OF ORGANIZATIONAL THEORY

In 2001 the National Basketball Association (NBA) formed its own minor league: The National Basketball Development League (D-League). The D-League was originally designed as a vertical extension of the NBA and to act as a farm-system for the NBA. There has been instability in the make-up of the teams within in the D-League since the inception of the League. Instability is a shared characteristic among all minor league basketball operations. However, unlike its minor league counterparts, the D-League has promise to endure long-term. In this study, external environmental factors that are linked to competition, demographics and structure are analyzed. Organizational theory takes into account the role of the external environment in regards to the survival of a new firm. Factors analyzed were: market size, per-capita income, market education, presence of other professional sports teams, presence of NCAA Division I men’s collegiate basketball teams, stadium location, stadium age, stadium ownership, the number of large businesses within the market place, and business ownership model were all considered.
Leaky-Wave Metamaterial Antennas: Conical and Pencil Beam Radiation

In this paper, we review our recent work on conformal metamaterial antennas, based on the excitation of leaky modes in cylindrical shells with a sub-wavelength cross section. The physical principles of operation are recalled and the main features of metamaterial shells made by material with a negative (and close to zero) real part of the permittivity are reviewed. When the azimuthally-independent leaky mode, which is backward, is excited in this structure, a high- directive conical beam is radiated by the shell. This configuration can be used in regular omni-direcfional base station antennas. Some examples are presented in the paper. On the other hand, when higher-order leaky modes are excited, the shell is capable of radiating multiple directive beams. This shell can be used in point-to-(multi)point radio links, satellite communications, and in smart and switched beam antenna systems. (5 pages)
Benchmarks and performance metrics for assessing the migration to microservice-based architectures

The migration from monolithic to microservice-based systems have become increasingly popular in the last decade. However, the advantages of this type of migration have not been extensively investigated in the literature, to the best of the authors’ knowledge. This paper aims to present a methodology and performance indicators to support better assessment on whether the migration from a monolithic to microservice-based architecture is beneﬁcial. A systematic review was conducted to identify the most relevant performance metrics in the literature, validated in a survey with professionals from the industry. Next, this set of metrics, including latency, throughput, scalability, CPU, memory usage, and network utilization - were used in two experiments to evaluate monolithic and microservice versions of the same system. The results reported here contribute to the body of knowledge on benchmarking different software architectures. In addition, this study illustrates how the identiﬁed metrics can more precisely assess both monolithic and microservice systems.
Max-min K-means clustering algorithm and application in response signal feature extraction

In order to overcome the problem of classical K-means clustering algorithm, such as sensitiveness to its initial cluster centers selection and easiness of falling into local optimization, this paper proposed max-min K-means clustering algorithm. The algorithm adopts max-min principle to determine initial cluster centers of K-means clustering algorithm. Comparison of clustering effects of the new method with that of muilt-restart K-means clustering algorithm on artificial data set showed the better effect and the greater excellence of max-min principle. Then, the max-min K-means clustering algorithm was applied to analyze vibration response signal of cylindrical shell automatic in order to discover space distribution feature of dynamics response. Clustering results tallied with feature of dynamic response of cylindrical shell, which validated the effectiveness and reasonableness of the new clustering method itself.
Optimal Design of Magnetorheological Shock Absorbers for Passenger Vehicle via Finite Element Method

This paper presents optimal design of controllable magnetorheological(MR) shock absorbers for passenger vehicle. In order to achieve this goal, two MR shock absorbers (one for front suspension; one for rear suspension) are designed using an optimization methodology based on design specifications for a commercial passenger vehicle. The optimization problem is to find optimal geometric dimensions of the magnetic circuits for the front and rear MR shock absorbers in order to improve the performance such as damping force as an objective function. The first order optimization method using commercial finite element method(FEM) software is adopted for the constrained optimization algorithm. After manufacturing the MR shock absorbers with optimally obtained design parameters, their field-dependent damping forces are experimentally evaluated and compared with those of conventional shock absorbers. In addition, vibration control performances of the full-vehicle installed with the proposed MR shock absorbers are evaluated under bump road condition and obstacle avoidance test.
ENVIRONMENTAL TRAFFIC MANAGEMENT: A REVIEW OF FACTORS AFFECTING COLD START EMISSIONS

This literature review examines the factors influencing the elevated emission levels from vehicles associated with the cold start phenomenon. Of the factors known to influence cold start emissions, it appears that among the most important are the cooling down period of the engine prior to restart, and ambient temperature. The state of cold start modelling is discussed. It is argued that current cold start models are inadequate and must be improved in order to determine the changes in emission levels associated with traffic management. Future models could include a method to represent the engine warm-up and cool-down profiles at a range of ambient temperatures, coupled with information on vehicle usage. Some thought is also given to how traffic management schemes may affect cold start emissions, although for all types of scheme the effects are currently unknown. (A)
Non-linear model predictive control for UAVs with slung/swung load

Suspended loads on UAVs can provide significant benefits to several applications in agriculture, law enforcement and construction. The load impact on the underlying system dynamics should not be neglected as significant feedback forces may be induced on the vehicle during certain flight manoeuvres. Much research has focused on standard multi-rotor position and attitude control with and without a slung load. However, predictive control schemes, such as Nonlinear Model Predictive Control (NMPC), have not yet been fully explored. To this end, we present software and flight system architecture to test controller for safe and precise operation of multi-rotors with heavy slung load in three dimensions.
EMBEDDING GENERAL CONSTRAINT RESOLUTION INTO A CAD SYSTEM

Computer aided design (CAD) has facilitated designer’s task by automating many of the activities involved in a conventional design process. This can be further augmented by use of constraints in CAD systems. However there is still need for incorporating general constraints. This paper highlights some of these constraints. Constraint modeller software that incorporates these constraints is described here. Based upon this constraint modelling approach, a new constraint modeller-CAD interfaced system.
Analysis and Design of Multipole Fractional-Slot PM Assisted REL Motors: Techniques to Increase the Torque Density with Respect to the Standard Solutions

The main aim of this thesis is to analyze different FCSW synchronous PMARel configurations focusing the attention on torque behaviour. This to do a comparison with a SPM motor and a distributed winding (DW) synchronous PMARel motor. Different techniques will be shown trying to increase the average torque and to decrease the torque ripple, getting as closer as possible to SPM motor torque performance
Influences of Culture Media, Temperature and Light/Dark Conditions on Growth and Antifungal Activity of Streptomyces spp. Against Botrytis cinerea, in vitro and on Tomato Leaf

The influences of culture media, temperature, and light/dark conditions on growth and antifungal activity of the three strains Streptomyces spp. against Botrytis cinerea was studied. Results of in vitro study indicated that the GYM agar and incubated at 28°C exhibited good mycelial growth and a spore mass production of the three strains of Streptomyces spp. On the other hand, the PDA and incubation at 21°C were suitable for the mycelial growth of B. cinerea . Moreover, light/dark conditions had an effect on the growth of the two strains of S. philanthi . The strains RL-1-178 and RM-1-138 of S. philanthi grown in all media and incubation temperatures tested possessed antifungal activity against B. cinerea (100% inhibition) while S. mycarofaciens showed different results on PDA (83% inhibition) and GYM (88% inhibition) with the optimum incubation temperature at 21°C. Then, the antifungal compounds in culture filtrates produced by the three antagonistic strains against B. cinerea were tested on tomato leaf. They showed a significantly higher inhibitory effect on the symptoms of blight disease on tomato leaf compared with the control. The better protection efficacy against B. cinerea on tomato leaf was observed with the culture filtrates of S. philanthi RM-1-138 (82.89% and 0.33 cm 2 lesion areas symptoms). Moreover, the antifungal compounds in the culture filtrate of S. philanthi RM-1-138, identified by GC-MS, were greatly altered relative to concentration components under different temperatures and light/dark conditions tested. Our results clearly demonstrated that the environmental factors have an influence on antifungal activity of the three strains of Streptomyces spp.
The effects of ISO 14001 on corporate financial and environmental performance

The purpose of this study is to examine the effects of ISO 14001 registration on corporate financial and environmental performance. The stock market's reaction to the ISO 14001 registration of a sample of Canadian firms is investigated. An analysis of the overall sample of companies revealed that there were no abnormal stock market returns experienced during a three day event window. However, abnormal returns were experienced when the companies were analyzed individually. The environmental performance component of this study investigated whether ISO 14001 registered facilities experience greater emission reductions than non-registered facilties within the Transportation Equipment Industries sector in Canada. The results of the analysis indicated that there was no difference between facilities that adopted ISO 14001 at differenct time periods and that the facilities that adopted ISO 14001 experienced an increase in aggregated weighed emissions.
Consumption of aquatic products and meats in Chinese residents: A cross-sectional study in 2014

Objective To characterize the distribution, potential determinants of the consumption of aquatic products and meats, as well as part of the nutritional behavior of Chinese residents in a nationwide representative sample.Methods The study was conducted using a multi-stage stratified random cluster sampling technique and a population-proportional sampling procedure in 14 provinces in China. Chinese subjects aged 3 years and above (n = 24,106) completed a face-to-face dietary interview from July to October in 2014.Results The average daily consumption of meat and aquatic products for the all-aged population was 70.9 g and 48.0 g, respectively, which aligned with Dietary Guidelines (40-75g/d) for Chinese Residents (2016). Intake of aquatic products among Chinese people was relatively insufficient, especially for adolescents and elder people (<40g/d). Males, mainly aged 19-60, generally consumed too much meat (>80g/d), and 19-44 grouping consumed more than 70g/d of red meat. Besides, urban residents and individuals with higher SES have exhibited more comprehensive dietary preferences than rural ones and those with a lower SES do. Women and the higher SES group tend to be closer to the dietary guidelines for the Chinese.Conclusions The consumption of meat and aquatic products varied with age, sex, region and SES. Detecting patterns in consumption is particularly relevant for policy makers, researchers and health professionals in the formulation of dietary recommendations and estimating potential health outcomes.
MCSP-SSS: A Domain Adaptive Framework for High-Accuracy Sensor Data Classification

Due to sensor drift, instrumental variation, or change of measurement object, the distributions of the datasets (domains) acquired by the sensors are often different. A domain adaptive framework called MCSP-SSS is proposed to reduce the distribution discrepancy across domains for high-accuracy sensor data classification. The framework consists of two key parts: Multi-Constraint Subspace Projection (MCSP) and Source Sample Selection (SSS). MCSP is a subspace-projection-based approach, which introduces four constraints to get an optimized projection matrix: Principal Component Analysis (PCA) is used to reduce the redundancy of features; Mean Distribution Discrepancy (MDD) is applied to minimize the difference between source and target data; Hilbert-Schmidt Independence Criterion (HSIC) is adopted to maximizing the dependence between features and labels; A so-called weighted-within-class scatter matrix is introduced to minimize the within-class variance to avoid samples with different labels to overlap in the subspace. SSS is designed to remove the outliers in projected source samples so as to reduce distribution discrepancy between the source and target samples projected by MCSP. Experimental results show that our framework can achieve the best accuracies in all classification tasks in comparison with other state-of-the-art approaches. The accuracy of MCSP-SSS is 3.57 percentage points (pps) higher on average than that of the second best approach for single-source domain adaptation, and 7.00 pps for multi-source domain adaptation. Source code is available at https://github.com/threedteam/tsc_subspace_projection.
AGILE METHODOLOGIES AND SOFTWARE PROCESS IMPROVEMENT

Many different paradigms and methodologies have been developed aiming to improve software projects, but no “silver bullet” has been found. The most eminent paradigm to make software development more predictable is Software Process Improvement (SPI), which was inspired from other engineering disciplines. SPI is a worldwide movement, which accentuates a disciplined approach embracing repeatable processes and continuous improvements. The conviction in SPI is that a high-quality process will deliver high-quality products. The main critique against SPI is that it creates a lot of bureaucracy and constrains innovation. The fundamental of Agile Methodologies on the contrary, are flexibility and quick response to requirements changes. No detailed plans are made. Instead changing requirements are considered a necessity to sustain and improve customers’ competitive advantage. In this paper we discuss the main Agile principles with particular reference to eXtreme Programming (XP) and the Dynamic Systems Development Method (DSDM). We identify the relationship between older paradigms and models (such as SPI, CMM and TQM) and Agile Methods, and suggest areas requiring further investigation such as the desirability and feasibility of Agile development in different cultures and for different project types. We conclude with suggestions for further investigation.
The effect of workload, work experience and inclined standing surface on visual spatial perception: Fall potential/prevention implications

Maintenance of upright balance involves interplay between sensory (somatosensory, vestibular and visual) inputs and neuro-motor outputs. Visual spatial perception (VSP) of vertical and horizontal orientation plays a significant role in the maintenance of upright balance. For this experiment, a custom designed computer program randomly generated 42 images of horizontal and vertical lines at various angles for 60 industrial workers (39 ± 9.8 years). Half of the workers had more than three years of experience working on inclined and/or elevated surfaces. The main effects investigated included within subject factors of standing surface inclination (0 ◦ ,1 4 ◦ and 26 ◦ ), job experience (number of months), and postural workload (0%, 50% or 100%). The VSP outcome measure was the count of correct responses to the angles presented. The inclination did not have a significant effect on VSP, but the parameter estimates indicated less correct responses on the inclined surfaces. The postural workload significantly affected the VSP, indicating that with increased workload, less correct responses were given. Finally, job experience was found to improve VSP response scores. In summary, these results indicate that job experience increases accurate VSP, while workloads and inclined work surfaces decrease accurate VSP responses.
A Digital Micro-Game Approach to Improve the Learning of Hand-Weaving Art and History

This research focuses on the young people and an issue of national handicraft preservation in the form of southern style hand weaving. A game is used in the study on arts and cultures as a learning medium optimized for the young people who play an important role in preserving the traditional handicraft being at the verge of extinction. The “Exploring Na Muen Sri” was developed based on digital micro-game and Person-Artefact-Task model as well as the game production with the purpose of creating the learning media and a simulation containing new knowledge about hand-weaving art and history that is suitable for the young people. The case study was on the weaving history of Na Muen Sri Community located in the southern Thailand. An experiment was conducted with undergraduate students to explore the effectiveness of the proposed approach in the field of cultural study. The results show that the game can effectively enhance players’ cognitive growth along with cultural awareness. It can be concluded that the simulated learning environment created in the digital game enables to bring about comprehension supporting the lifelong learning of hand weaving art and history while simultaneously preserving the local wisdom of hand weaving of fabrics.
Solar Cells on CMOS Chips as Energy Harvesters

Energy scavenging - also known as Energy harvesting - has recently drawn huge interests in both academia and industry. The concept is to power micro-electronic devices by gathering energy from the environment surrounding the device itself. It is a potential solution for powering various low power electronic devices for autonomous systems; that is, maintenance free systems. In this thesis we will propose a new approach to harvest energy in a microsystem.
The Way of Learning Preserved in The Structure of Individual Experience Shapes Task-Switching: Implications for Neuroscience and Education

Task switching is a behavioral phenomenon that serves as a tool for assessment of individual cognitive abilities that becomes especially essential in our multitasking milieu. Factors of task-switching include cognitive load and cognitive effort, mostly derived from task difficulty, as well as age and practice. The analysis of brain activity on the level of single neurons shows that the activations that contribute to task performance and switching differ with respect to the protocol of learning the alternated tasks. We argue that task switching is affected by the history of learning and in turn it changes the structure of individual experience. On this basis we outline perspectives of task switching studies in the fundamental field of long-term memory and applied field of education and therapy.