Miracle-dz/UniFAR-FTUs huggingface dataset:
Climate Change adapted simulation weather data : implications for cities in hot , arid climates of the Middle East

Climate change represents a significant challenge for human settlements and buildings which may fail to perform under the predicted future higher summer temperatures. This is the case in particular for the hot, arid climates of the Middle East where the Intergovernmental Panel on Climate Change projects an average summer temperature rise of between 2.5 and 5 °C by the end of the 21st century for an emissions scenario assuming a mix of fossil fuel intensive and non-fossil energy sources. Therefore, it is becoming increasingly important to assess the future building performance and the associated cooling loads during the summer months. However, data suitable for this purpose is scarce. This paper presents a tool for transforming existing industry standard weather data for building performance simulation into climate change adapted weather data using climate model outputs generated by the UK Hadley Centre. Weather data generated with this tool is investigated for selected cities in the Middle East with a specific focus on the potential future cooling load requirements.
Procedural Transformation from Formal Software Requirement to PLC-based Design

The software of the nuclear power plant digital control system is a safety-critical system where many techniques must be applied to it in order to preserve safety in the whole system. Formal specifications especially allow the system to be clearly and completely specified in the early requirements specification phase, therefore making it a trusted method for increasing safety. In this paper, we discuss the formal description of the procedure [12] , which generates FBD-based PLC design programs from the requirements specification written in NuSCR [11], a formal requirements specification method. Our discussion includes the formal definition of all constructs and transformation algorithm, and makes confirms that systematically generated FBD program has the same behavior with its origin, NuSCR software requirements specification.
Thrombolytic therapy with urokinase for thrombosed hemodialysis arteriovenous fistula

Arteriovenous fistula (AVF) thrombosis is a common complication in patients undergoing hemodialysis, and early intervention is required. Urokinase has been used as a thrombolytic agent for declotting the thrombosed access. However, the optimal route for infusing urokinase remains to be determined. In the present retrospective observational study, 49 patients who underwent local venous infusion and 57 patients with peripheral venous infusion of urokinase were included. A urokinase dosage of 300,000 U was administered until successful thrombolysis, which was a maximum of three times. Age, sex, period of dialysis, time of AVF placement, systolic and diastolic blood pressure and thrombus age were similar between the two groups. The efficacy of urokinase infusion via the two routes in resolving thrombosed AVFs, defined as successful fibrinolysis, and the safety, defined as the number of bleeding events, was compared. The cumulative thrombolysis success rate following three sessions of thrombolytic therapy in the local venous thrombolysis group was higher compared with that in the peripheral venous thrombolysis group (85.7 vs. 68.4%; P=0.04). The local thrombolysis group exhibited less ecchymosis (4.1 vs. 14.0%; P=0.07), epistaxis (2.0 vs. 10.5%; P=0.08) and gingival bleeding (4.1 vs. 19.3%; P=0.02) events compared with Thrombolytic therapy with urokinase for thrombosed hemodialysis arteriovenous fistula | 2 IVTEAM. | 2 the peripheral thrombolysis group. Further analyses demonstrated that systolic and diastolic (OR=1.08; 95% CI, 1.02-1.14; P<0.05) blood pressure were protective factors, whereas thrombus age (OR=0.91; 95% CI, 0.84-0.99; P<0.05) was a risk factor for thrombolysis success among patients who underwent local thrombolytic therapy. Overall, the results suggest that local venous infusion of urokinase is superior to peripheral venous infusion for the treatment of patients with thrombosed fistulas. You may also be interested in. Stenosis and thrombosis-unveiled complications of buttonhole cannulation Ipsilateral internal jugular catheters for hemodialysis decrease AV fistula patency Patency rate of Arteriovenous Fistula created for hemodialysis
A MODIFIED SCS-CN BASED MODEL FOR LONG TERM HYDROLOGIC SIMULATION

Long term management of water resources in a catchment requires input from hydrological studies in the form of estimation or forecasting of the magnitude of hydrological variables. Such forecasts are useful in many ways, like warning of extreme floods or droughts, and help optimize the operation of systems, like reservoirs and power plants. This paper attempts to improve the original Soil Service Conservation Service Curve Number (SCS-CN) concept to perform long-term hydrologic analysis for a humid watershed, namely Hemavati, a tributary of River Cauvery in Karnataka State. Besides, the SCS-CN approach widely used as a simple method for predicting direct runoff volume for a given rainfall eventhas been evaluated for its applicability to humid catchment. The model inputs include daily rainfall, evaporation, and the model describes antecedent moisture (AM) by incorporating effect of antecedent rainfall without considering different antecedent moisture conditions (AMC). The model performs satisfactorily with efficiency of 87.51% and 88.71% in calibration and validation, respectively. The average relative error is of the order of 10%, which is tolerable.
ATG 5 BUT NOT ATG 7 IN DENDRITIC CELLS ENHANCES IL-2 AND IFN-γ PRODUCTION BY TOXOPLASMA GONDII-REACTIVE CD 4 + T CELLS

The autophagy proteins (Atg) modulate not only innate but also adaptive immunity against pathogens. We examined the role of dendritic cell Atg5 and Atg7 in the production of IL-2 and IFN-γ by Toxoplasma gondii-reactive CD4+ T cells. T. gondii-reactive mouse CD4+ T cells exhibited unimpaired production of IL-2 and IFN-γ when stimulated with Atg7-deficient mouse dendritic cells that were infected with T. gondii or pulsed with T. gondii lysate antigens. In marked contrast, dendritic cells deficient in Atg5 induced diminished CD4+ T cell production of IL-2 and IFN-γ. This defect was not accompanied by changes in costimulatory ligand expression on dendritic cells or impaired production of IL-12 p70, IL-1β or TNF-α. Knockdown of Irg6a in dendritic cells did not affect CD4+ T cell cytokine production. These results indicate that Atg5 and Atg7 in dendritic cells play differential roles in the modulation of IL-2 and IFN-γ production by T. gondii-reactive CD4+ T cells.
A Completely Open-Source Finite Element Modeling Chain for Tubular Tissue-Engineered Constructs

Finite-element modeling (FEM), well-established to predict the mechanical behavior of mechanical systems, enjoys growing popularity in the study of the biomechanical behavior of biological tissues. Contrary to mechanical systems, which can often be described analytically or with geometric primitives, biomedical objects require discretization of their often irregular shape. In noninvasive studies, imaging methods are used to obtain the shape. Frequently, a relationship between image intensity and biomechanical properties is assumed. Commercial FEM toolchains exist, but we failed to obtain a satisfactory discretization from simple phantom images. Driven by the application to image and characterize tissue-engineered blood vessels noninvasively, we sought to establish a completely open-source FEM toolchain. The open-source feature gives users the ability to modify and extend the code, and thus offers additional flexibility over commercial systems. We demonstrate that the combination of a custom module to discretize the geometry (meshing) combined with the open-source FEM solver Tochnog and free visualization software (namely, Paraview and OpenDX) completes an open-source FEM toolchain. We demonstrate its ability to analyze tubular phantoms modeled after tissue-engineered blood vessels and compare results to a commercial toolchain. We conclude that a fully open-source toolchain is feasible, but the critical element is the meshing module.
The Relationships among Transformational Leadership , Employees ’ Learning Abilities , Creativity , and Job Performance

This paper investigates the effects of transformational leadership on employees’ job performance through the mediation effects of employees’ learning abilities and creativity. Using a sample of 209 salespersons from 10 insurance companies in Taiwan, we found that (1) transformational leadership was positively related to employees’ learning abilities, (2) employees’ learning abilities were positively related to their creativity, (3) employee creativity was positively related to their job performance, and (4) employees’ learning abilities were positively related to their job performance. We discuss implications of these results for research and practice.
Comparison of Radial Movement of Metallic Particles in a Single Phase Gas Insulated Busduct

Compressed Gas Insulated Substations (GIS) consist basically of a conductor supported on insulators inside an enclosure, which is filled with sulphur hexafluoride gas (SF6). The voltage withstand capability of SF6 bus duct is strongly dependent on field perturbations such as those caused by conductor surface imperfections and by conducting particle contaminants. The particles can be lifted by the electric field and migrate to the conductor or insulators where they initiate breakdown at voltages significantly below the insulation characteristics of the SF6 gas. In this project a single phase enclosure with outer diameter as 137mm and inner conductor diameter of 40mm is considered for analysis and compared with a single phase enclosure with outer diameter as 152mm and inner conductor diameter of 55mm with aluminium, copper and silver particles of size 10mm in length and 0.25 as radius present on the enclosure . To study the behaviour of Metallic Particles in the presence of power frequency voltages applied to single-phase gas insulated bus duct. The maximum movement of Aluminium, Copper and Silver particles for applied voltages of 75 kV, 100 kV, 132kv, 145 kV, and 200 kV are determined. The simulation results have been presented and analyzed.
A Semantic Deliberation Model for e-Participation

There have been very few attempts so far to develop a comprehensive and rigorous conceptualization for deliberations in e-participation. Without a rigorous and formal conceptualization of deliberation, consistent content descriptions creation, deliberation records sharing and seamless exploration is difficult. In addition, no eparticipation deliberation ontology exists to support citizen-led e-participation particularly when considering contributions made on the social media platforms. This work bridges this gap by providing a rich conceptualization and corresponding formal and executable ontology for deliberation in the context of e-participation. The semantic model covers the core concepts of technology-mediated political discussion and explicitly supports the integrated citizenand government-led model of e-Participation enabled by social media. Results from the use of the ontology in describing e-Participation deliberation information at Local Government projects are also presented.
An Intelligent Tutoring System for SIMFOR : A Serious Game for Crises Management

In this paper we propose to bring together the concept of Serious Game and Intelligent Tutoring Systems (ITS) in the context of the SIMFOR project, a serious game for training in crisis management. We discuss the problems and needs of serious games and a overview of existing work. To enhance the learning aspect in serious games, we propose the integration of different ITS modules to the serious game. This integration is realized in the design of a collaborative multi-agent system that represents the different module of an ITS.
Performance of a DS-CDMA system under jamming in an urban environment

In this paper the performance of a direct sequence code division multiple access (DS-CDMA) system is investigated under barrage jamming in an urban environment. Both the uplink and downlink transmission are taken into account. Especially uplink jamming was noticed to reduce capacity. Smart antennas were found to be an effective countermeasure against jamming.
Distance-based Clustering of words in text Documents

In the last decade different applications of computer science (data mining, text mining) have appeared. The task data mining is primarily to reveal structured data in data bases, for example data warehouses. Text mining is assessable information from an unstructured data. At present automatic question generation is a current research area. One of the modules of the framework systems that we worked on does the clustering of words in text documents. This paper shows some implemented clustering methods and some searched algorithms.
A PI-Type Sliding Mode Controller Design for PMSG-Based Wind Turbine

Because the PMSG (permanent magnet synchronous generator)-based WECS (wind energy conversion system) has some uncertainties, the conventional control strategy with poor robustness is sometimes difficult to meet the performance requirements of control. In order to ensure efficient and stability of the system, this paper proposed a novel PI (proportional-integral)-type SMC (sliding mode control) strategy for PMSG-based WECS uncertainties and presented the detailed analysis and design process. Compared with the conventional control method, the PI-type SMC proposed in this paper not only can make the closed-loop system globally stable, but also has a better robustness and slightly reduced the current ripple and distortion. Finally, the simulation results verify the correctness and effectiveness of this algorithm.
English language fluency and the way Polish school students work with English textbook material on the example of two students

Eye tracker makes it possible to see where and how the person is looking. During the analysis of previously collected eye‐tracking data my attention was drawn to two school students whose English language communicative skills were on different levels and that is why I assumed they should work with the English textbook material in a different way. The aim of the article is to show not noticed at the first sight differences in their way of working with the English textbook material.
Interpersonal Style of Coaching, Motivational Profiles and the Intention to be Physically Active in Young Athletes

The aim of this study was to assess the relationships among the motivational profile, the coach’s interpersonal style and the intention to be physically active in young athletes. A sample of 254 athletes (mean age of 12.81 years), who used to participate in official competitions, was used. The measurements taken were of the young athletes’ perception of the interpersonal style of the coach, satisfaction of basic psychological needs, motivation towards sports practice and intention to be physically active. Bivariate correlation, cluster and multivariate analyses were carried out. The cluster analysis revealed two profiles: one with high self-determined motivation and greater values of autonomy support, competence, relatedness and intention to be physically active, and another less self-determined cluster that showed low levels of competence, relatedness and intention to be physically active. It is suggested that adding some strategies based on autonomy support to training with athletes may ensure adherence to sports practice.
Large Eddy Simulation of Low Subcritical Reynolds NumberFlow across a Rotating Circular Cylinder

In this study, unsteady turbulent flow across a counterclockwise rotating circular cylinder is computed using Large Eddy Simulation (LES). The spinratio varies between 0 and 2 and The Reynolds number changes from 3900 to 10000. Time integration of the flow equations is carried out for a very large dimensionless time. Smagorinsky subgrid scale model with Cs=0.1 is used to resolve the residual stresses. Variations of the mean drag and lift coefficients, and the flow structure with spin ratio and Reynolds number are studied. It is found that by increase ofspin ratioor decrease of Reynolds number, both the stagnation point and the wake region move upward along the cylinder. As a result,the mean drag decreases and the mean lift increases. Length of the vortices behindthe cylinder is also increased by increase of bothspin ratio and Reynolds number. The computed results are compared with the results from the other numerical or experimental works, showing a good correspondence. It was found that the LES method is an accurate and convenient method for computation of highly recirculating flows. Key-Words: Large Eddy Simulation, Rotating circular cylinder, unsteady flow, drag coefficient, lift coefficient, subcritical flow
Model of the milling process on the basis of cutting force : A Neural Network-based Approach *

-Recent developments, focused on the optimization of machining processes, through an effective cutting force control, should be complemented with a thorough monitoring of the transient response of these systems, because undesirable oscillations in cutting force are harmful to finishing quality and cutting tool integrity. The main goal of this work is to introduce a versatile neural network-based model, capable, by its on-line running, to accurately predict the cutting force, under common functioning conditions. Using this model, easily obtained from straightforward machining tests, further developments of complex adaptive controllers and monitoring systems can be carried out. * This work has been supported by Project CICYT TAP1999-1122-C02-01 “Machine tool: Intelligent Supervision and Control (MHECOS). Key-words: neural networks, modeling, milling process.
A real-time gait measurement system for wearable ankle-foot assistive device

Wearable robotics is a promising approach for assistance to people with gait deficits. The efficient sensory feedback is of important for closing the system loop of adaptive robotic control. This work presents a novel real-time gait measurement system for ankle-foot assistive device based on data from wearable sensors. This system incorporates two inertial measurement units (IMUs) attached to the shank and foot respectively. Recognition of gait stance and swing phases is performed by a high-level probabilistic method using angular rate from the IMU attached to the shank. The ankle planar-/dorsiflexion angle is measured by fusing the measured angular rate and acceleration from the two sensors based on a complimentary filter algorithm and sensor-to-segment identification method. The proposed system was experimentally validated in real-time while 10 healthy subjects walking on the treadmill with three different speeds. The outputs were compared to the reference measured by a Vicon motion capture system. Results show that the Bayesian recognition method achieves the recognition of gait phases with an accuracy above 94% and a delay response time below 20ms and accurate IMU-based angle measurements (RMSE below 3.5◦). The results demonstrate the potential of the wearable system for perception in the robotic control of anklefoot assistance.
A MIMO-OFDM system for high-speed transmission

We propose new signal detection for space division multiplexing in a MIMO-OFDM system for high data rate transmission. Channel estimation is very important for suppressing the interference and demultiplexing the signals. In a wireless LAN system, such as IEEE 802.11a, only a few training symbols are inserted in each subcarrier. We propose a channel estimation method for the MIMO-OFDM system with two training symbols per subcarrier. The basic idea is to estimate the time-domain channel responses between the transmit and receive antennas. Applying the fast Fourier transform to them, the array response vectors for each subcarrier are calculated. Then, we can obtain the adaptive weights to cancel the interference. We show that employing training symbols having a lower condition number of a matrix used for the channel estimation improves the estimation accuracy.
WATER BALANCE ANALYSIS AND WATER LEVEL SIMULATION OF LAKE TOBA, INDONESIA

Lake Toba located in north Sumatra, Indonesia has recently experienced severe declines in water level. This study aims to investigate the water balance of Lake Toba and to simulate the water level variation based on a water balance model for discussing the appropriate water management of the lake. Firstly, using meteorological data at Medan about 80 km north of the lake, the evaporation from the lake and the evapotranspiration from the lake catchment were estimated by the Penman method and the Brutsaert-Stricker method, respectively, and then the mean areal precipitation was estimated considering water balance by using observed precipitation at three points. Secondly, the runoff from the lake catchment were calculated by the variable infiltration capacity (VIC) water balance model and the long-term water levels were simulated using time series of estimated lake evaporation, areal precipitation and inflow and observed outflow. The accuracy of simulated lake water level was not sufficient due to the inadequacy in quality of estimated areal precipitation and the lack of meteorological data near the lake, but the overall variation of water level including recent declines ware represented. The model was also applied under some scenarios which assume some constant outflow rates and the relationship between outflow rate and water level decline was discussed.
Habitat and water quality as drivers of ecological system health in Central Appalachia

Ecological mitigation in Central Appalachia often takes one of two approaches: a water qualitydriven focus (TMDLs), or a geomorphological focus on stream/habitat restoration (404 permit-related requirements). While often successful at reducing in-stream pollutants or restoring stable hydrology respectively, recent studies have shown that neither approach appreciably improves aquatic ecosystem health. We report here on a field sampling campaign along the Kentucky–Virginia border aimed at identifying primary macroinvertebrate stressors in order to inform ecological remediation efforts and how those efforts might fit into the current regulatory structure. Over two years, we collected 178 observations of benthic species diversity at 36 unique sites representing watersheds of varying surface disturbance and anthropogenic activities, along with associated data from rapid bioassessment protocols (RBPs). Using land use metrics (derived from GIS data), water quality data, habitat metrics, and stream condition indices, principal component analysis (PCA) identified surface disturbance, forest cover, and specific conductivity as significant variables comprising the first PC. Habitat appears to be a secondary driver affecting community sensitivity with channel alteration, bank vegetation, riparian vegetation, and epifaunal substrate contributing significantly to the second PC. PERMANOVA analysis showed these groups to be significantly 2 different from one another (p = 0.001), R = 0.44. Change point analysis via 500 bootstrapped replications identified shifts in community composition means at 326, 609, and 1065 mS/cm along the conductivity gradient, and habitat change points at 42.6 and 58.2 along the composite habitat gradient. These findings suggest that approaches that improve water quality, upland hydrology, and localized habitat structures may simultaneously be necessary to improve aquatic ecosystem health. Published by Elsevier B.V.