Miracle-dz/UniFAR-FTUs huggingface dataset:
The Utilization of Dynamic Properties in Determining Pile Bearing Capacity

Recently, the technique in geotechnical engineering design based on shear wave velocity measurement have had positive effects on the development of Spectral Analysis of Surface Wave (SASW) test. This SASW test has been shown to give reasonable results for in-situ measurements of shear wave velocity. In this study, the used of shear wave velocity and damping is being successfully applied to determine the ultimate pile bearing capacity. The method based on the viscoelasticity soil model proposed by (Abbiss, 1983) and the equation of the relationship between hyperbolic shear strain and shear stress suggested by (Hardin and Drnevich, 1972) has been used in this study. Further, the results from SASW and Instrumented Pile Load (IPLT) test that has been conducted at a sites of residual soils located in Damansara, Selangor were compared. The results of the numerical calculation indicate that the percentage error in the ultimate pile bearing capacity is -1%, achieved the standard acceptance in the geotechnical engineering design.
(C.A.D.D.) - A NEW - MODERN SOFTWARE BASED APPROACH IN DRUG DESIGN AND DISCOVERY

Computer-assist drug design uses computational chemistry to discover enhance or study drugs and related biologically active molecules. Two distinct approaches are possible in the area of computer-aided drug design. If the molecular structure of the target macromolecule is known the methods are obvious and direct and have achieved a high level of sophistication. That area may be extended by using computational techniques to predict protein structure like Cancer-Causing H-Ras p21 Mutant Protein and to stimulate drug-receptor interactions. CADD methods are heavily dependent on bioinformatics tools, applications and databases. As such, there is considerable overlap in CADD research and bioinformatics. When the only lead is a set of known active compounds or knowledge of a biochemical transformation which is to be interrupted, then the path is less direct. Currently favored tactics include the use of molecular similarity methods and the employment of neural networks. Recent advances include the prediction of the relative potency of different chiral forms of drugs.
DAMPED VIBRATION OF COMPOSITE PLATES WITH PASSIVE PIEZOELECTRIC-RESISTOR ELEMENTS

Mechanics for the analysis of damping in composite plates with multiple resistively shunted piezoelectric layers are developed. The mixed field piezoelectric laminate theory is extended to include distributed passive electric circuitry embedded or attached to piezoelectric layers. The equations of motion for the coupled laminate/circuitry system are formulated and exactly solved for the case of simply-supported plates. The modal frequencies and damping are directly calculated from the complex eigenvalues of the damped plate. The forced vibration of the damped piezoelectric composite plate is also directly predicted. Numerical results for a cross-ply graphite/epoxy plate with surface mounted resistively shunted piezoceramic layers are presented. The results show that for each mode there is an optimal resistance value which adds significant modal damping. Away from this optimal value the modal damping gradually reduces to zero. Simultaneous shifting of the corresponding modal frequency to a higher value occurs over this optimal resistance range. The calculated frequency response of the damped plate illustrates that substantial vibration control of select modes can be obtained by proper tuning of the shunting resistive circuit.
Dynamic performance of a unified power flow controller for stabilizing AC transmission systems

This paper presents dynamic control and performance of a UPFC under a fault condition in a dual-feeder transmission system. The transmission system discussed in this paper consists of two feeders in parallel, which are installed between two power stations. When interruption occurs in one of the two feeders, active and reactive power flow are reduced to half because the line impedance doubles. The UPFC is installed in one power station, and keeps the total amount of active power flowing through the dual feeder constant. In this paper, control stability and power-flow regulation under the single-feeder interrupt are theoretically discussed, and are verified by computer simulation and experiments using a 10-kVA laboratory setup. As a result, it is clarified that a conventional control scheme may cause a large amount of overshoot in active and reactive powers after single-feeder interrupt. On the other hand, "advanced control" can control the active and reactive power faster than the power fluctuations, and thus make it possible to eliminate the power variation accompanied by single-feeder interrupt.
Bus Accidents in India, Nepal, Tanzania, and Zimbabwe

Countries of the developing world are characterized by rapid urbanization, high growth rates of traffic and congestion, and decreasing regulation of public transport. Because the majority of the developing world’s inhabitants depend on public transport services for their mobility needs, safe, effective, and efficient public transport is essential to ensure adequate and affordable accessibility and the sustainable development of livelihoods in the rural and urban sectors. The operational environment of the public transport sector in Nepal, India, Tanzania, and Zimbabwe is examined, as well as the extent of accidents involving public transport vehicles and the likely causes. Finally, recommendations are made to reduce both the severity and the number of public transport accidents.
A modular approach for the modelling of a class of zone-control conveyor system using timed Petri nets

Abstract In this paper, modeling of a programmable-control conveyor system or a ‘pallet handling system’ is described. The concept of zone control is introduced as traffic control for this type of conveyor. Timed Petri net (TPN) modules are presented as basic building blocks to model and analyse operational performance of the system. This modular approach facilitates an easy model construction, and provides an easy way to create or revise TPN models. Moreover, P-invariants are used to analyse the logical properties of the TPN model, i.e. boundedness, conservativeness, and liveness. T-invariants are used to find all possible pallet routeings. Finally, straightforward application of the modular approach is demonstrated in a case study.
Frequency-dependent modelling of domestic induction heating systems using numerical methods for accurate time-domain simulation

Domestic induction heating systems are usually modelled as an electrical equivalent composed of the series or parallel connection of an equivalent resistor and inductor. This model allows obtaining useful time-domain results in order to extract design conclusions for the power electronic converter. However, this model neglects the dependence of the equivalent electrical parameters with frequency. This dependence becomes a key parameter when the induction system varies the excitation frequency with the purpose of adapting the output power. In order to overcome this limitation, this study proposes a modelling strategy to take into account the influence of frequency divided into two steps. First, the frequency-dependent impedance is obtained by means of a finite-element analysis tool. Afterwards, a passive network composed of several inductors and resistors in series and parallel connection are used to fit the frequency response of the induction load. The proposed strategy allows obtaining a more accurate model of the induction heating load. Moreover, as there is no need to build previous prototypes, the design process is optimised. The feasibility of this proposal has been tested by comparing time-domain simulations with oscilloscope measurements in a real domestic induction heating system.
Calibration and Validation of Microscopic Traffic Simulation Tools: Stockholm Case Study

The calibration and validation approach and results from a case study applying the microscopic traffic simulation tool MITSIMLab to a mixed urban-freeway network in the Brunnsviken area in the north of Stockholm, Sweden, under congested traffic conditions are described. Two important components of the simulator were calibrated: driving behavior models and travel behavior components, including origin–destination flows and the route choice model. In the absence of detailed data, only aggregate data (i.e., speed and flow measurements at sensor locations) were available for calibration. Aggregate calibration uses simulation output, which is a result of the interaction among all components of the simulator. Therefore, it is, in general, impossible to identify the effect of individual models on traffic flow when using aggregate data. The calibration approach used takes these interactions into account by iteratively calibrating the different components to minimize the deviation between observed and simulated measurements. The calibrated MITSIMLab model was validated by comparing observed and simulated measurements: traffic flows at sensor locations, point-to-point travel times, and queue lengths. A second set of measurements, taken a year after the ones used for calibration, was used at this stage. Results of the validation are presented. Practical difficulties and limitations that may arise with application of the calibration and validation approach are discussed.
Investigation of Methodologies Used by Less-Than-Truckload (LTL) Motor Carriers to Determine Fuel Surcharges

Fuel surcharge policies are utilized by transportation companies to transfer the expense associated with fuel prices to their customers. As fuel surcharges have become a significant portion of the expenses on transportation invoices, an increasing number of shippers are expressing more interest in these policies. The objective of this study is to discover how less-than-truckload (LTL) carriers develop and utilize fuel surcharge policies to recover their fuel expenses. Thirty-nine top LTL carriers were called on to explain their perspectives and methodologies with regard to fuel surcharge policies. Part-to-whole qualitative analysis was conducted to summarize responses from a standardized interview protocol. In addition, 25 published fuel surcharge policies were obtained and analyzed to explore the disparities among LTL fuel surcharge policies. Findings show that, while carriers were reluctant to discuss their fuel surcharge development, in practice there were two primary methodologies that left all carriers with very similar fuel surcharge policies.
An empirical study of green supply chain management practices amongst UK manufacturers

Purpose – The purpose of this paper is to examine the extent and nature of greening the supply chain (SC) in the UK manufacturing sector; and the factors that influence the breadth and depth of this activity.Design/methodology/approach – Based on the findings from a sample of manufacturing organisations drawn from the membership of The Chartered Institute for Purchasing and Supply. Data are collected using a questionnaire, piloted and pre‐tested before distribution with responses from 60 manufacturing companies.Findings – On average manufacturers perceive the greatest pressure to improve environmental performance through legislation and internal drivers (IDs). The least influential pressures are related to societal drivers and SC pressures from individual customers. Green supply chain management (GSCM) practices amongst this “average” group of UK manufacturing organisations are focusing on internal, higher risk, descriptive activities, rather than proactive, external engagement processes. Environmental at.
Central nervous system metastasis of an intradural malignant peripheral nerve sheath tumor in a dog

An 8-yr-old French Bulldog was presented with a non-ambulatory tetraparesis. Magnetic resonance showed an intradurally located mass at the level of the right second cervical nerve root. The mass was surgically removed and the dog was ambulatory within 4 d. A 10-mo post-surgical imaging follow-up revealed a recurrence of the primary mass and another intradural/intramedullary mass at the level of the first thoracic vertebral body. Overall histological features were suggestive of malignant peripheral nerve sheath tumor (MPNST) for both masses. Immunohistochemistry was found weak but diffusely positive for S-100 and neurono-specific enolase for both masses. A diagnosis of primary MPNST for the cervical mass and of metastasis for the thoracic mass was made, possibly disseminated via the subarachnoidal space. To our knowledge, the central nervous system metastasis of MPNSTs has not previously been reported in dogs. The clinician should be aware that these tumors, albeit rarely, can metastasize to the central nervous system.
Reflective Practice: Moving Intention into Action

Reflection is a pillar of professional practice and can enable evaluators to expand their assumptions, change behaviour, and align practice with their values and beliefs. Reflective Practice is the first domain in the Canadian Evaluation Society’s Competencies for Evaluation Practice, highlighting the importance of professional awareness and growth. However, the literature offers few tools to move refl ective thought into action. The authors developed a personalized reflective approach through a mentoring relationship and the innovative use of a smartphone. Meaningful refl ective practice can leverage personal experience, practical tools, and regular dialogue with a significant other to expand assumptions and change behaviour.
Salt, Cold, and Drought Stress on Einkorn and Bread Wheat during Germination

Climate changes prompt salt, cold, and drought stresses especially during early crop growth stages. The damages during germination in wheat may even destroy whole crop. Here, 12 bread and 10 einkorn wheats entries were distressed under salt, cold and drought. Germination rate and germination power, coleoptile, shoot length, root length, shoot to root length ratio, root fresh and dry weight and root fresh to dry weight ratio were quantified under six salt, cold, drought stresses and one control. After ANOVA and LSD discriminated the entries, stress tolerance indices differentiated six tolerant and six susceptible entries. MANOVA, Pillai’s Trace and Wilks’ Lambda tests finalized the stress testing. Shoot and root length, root fresh and dry weight highly differed under salt, cold and drought. Bayraktar-2000 well tolerated salt, drought, salt-drought and salt-cold-drought; Gerek-79 salt, salt-drought, salt-cold-drought; Momtchil salt, cold and salt-cold-drought; Ikizce-96 salt, drought and salt-drought. Einkorn Population 14 was susceptible to all stresses except cold and salt-cold; Population 15 to salt, salt-drought and salt-cold-drought; Population 11 to salt, drought, salt-drought and salt-cold-drought. These stresses sharply decreased shoot and root length, root fresh and root dry weight. The higher % decreases under salt, cold and drought were in shoot (59.72, 63.25 and 23.17) and root length (32.91, 51.77 and 34.69), root fresh (44.32, 49.11 and 38.88) and root dry weight (21.63, 42.14 and 41.97). Moreover, Pillai’s trace and Wilks’ Lambda tests differentiated both characters and entries (P < 0.01). In conclusion, Momtchil, Gerek-79, Bayraktar-2000, Populations 5, 6, and 1 are well endorsed against triple seedling stresses.
IMPLEMENTASI METODE VIRTUAL FORCE FIELD UNTUK KONTROL PERGERAKAN AUTONOMOUS MOBILE ROBOT PADA APLIKASI SOCCER ROBOT

Virtual Force Field method is the one method which have simply concept but have a good ability to solve problem about obstacle avoidance. From the research that have done by Borenstein, Virtual Force Field is developed from the research that have done before that is Potential Field Method which work based on Histogram Grid. But it use Weight Value that different in any place which have obstacle. From the poorness that method, finally it can handled by Virtual Force Field method. In the Virtual Force Field method, an obstacle will represented as Repulsive Force and the target will represented as Attractive Force toward robot. Then the result from two force will be command in steering robot. To detect an obstacle that surrounds robot we use An Ultrasonic Sensor SRF 04 which work optimally up to 100 cm. For detect the object in front of robot we use Object Tracking method which use CMU Cam2 camera. In practically, we get an error resultant about 0.059% for the vector angle and 0.073% for the value of vector. Keyword : Virtual Force Field method, Obstacle Avoidance, Ultrasonic SRF 04, Object Tracking, CMU Cam2 camera
Multisensorial Vision For Autonomous Vehicle Driving

A multisensorial vision system for autonomous vehicle driving is presented, that operates in outdoor natural environments. The system, currently under development in our laboratories, will be able to integrate data provided by different sensors in order to achieve a more reliable description of a scene and to meet safety requirements. We chose to perform a high-level symbolic fusion of the data to better accomplish the recognition task. A knowledge-based approach is followed, which provides a more accurate solution; in particular, it will be possible to integrate both physical data, furnished by each channel, and different fusion strategies, by using an appropriate control structure. The high complexity of data integration is reduced by acquiring, filtering, segmenting and extracting features from each sensor channel. Production rules, divided into groups according to specific goals, drive the fusion process, linking to a symbolic frame all the segmented regions characterized by similar properties. As a first application, road and obstacle detection is performed. A particular fusion strategy is tested that integrates results separately obtained by applying the recognition module to each different sensor according to the related model description. Preliminary results are very promising and confirm the validity of the proposed approach.
Fault Detection Using Propagator for Kalman Filter and Its Application to SDINS

In this paper, we propose a fault detection method for extended Kalman filter in decentralized filter structure. To detect a fault, a consistency between filter output and a monitoring signal is tested. State propagators are used to obtain the monitoring signal. However, the output of state propagator increases in magnitude and finally diverges as time runs. To solve such problem, two-propagator method was proposed for linear system. Two propagators are reset by Kalman filter output, alternatively, to avoid divergence. But a test statistics change abruptly at the reset instant in that method. Hence a N-step propagator method is proposed to fix up the problem. In the N-step propagator, only time propagations are performed from k-N+1 step to k step without measurement updates. A test statistics are defined by errors and its covariance between extended Kalman filter and N-step propagator. These fault detection methods are applied to integrated strapdown inertial navigation system (SDINS). By computer simulation, it is shown that the proposed methods detect a fault effectively.
Stability Analysis for Seed Yield and Related Component Traits of Linseed Genotypes (L/NUMUSITATISSIMUM L) in Central Highlands of Ethiopia

The experiment was executed to analyses seed yield and related traits stability parameters for ten genotypes of linseed at Holeta, Kulumsa, Bekoji and Asassa representative areas of central highlands of Ethiopia. The experiment was carried out in a Randomized complete block design. Stability parameters for ten genotypes of linseeds were evaluated and assessed using three different stability methods. The investigation included six characters ( seed yield per plot, oil content, oil yield, date of flowering, date of maturity and plant height). Results revealed significant genotype × environment interactions were detected for seed yield, oil content, date of flowering and plant height studied traits and the response to environmental changes of each genotype differed as indicated by M.S. pooled deviation and heterogeneity items. Wider ranges of regression coefficient values were observed from the studied stability methods suggesting possibility of selection for specific genotypes patterns. Two genotypes PGRC/E10306 X Chilalo Y/3 and Omega X CI-1525/Y/44 were most stable for studied characters in the four central highlands of Ethiopian environments.
The trigger and timing system of the Double Chooz experiment

Modern precision neutrino experiments like Double Chooz require a highly efficient trigger system in order to reduce systematic uncertainties. The trigger and timing system of the Double Chooz experiment was designed according to this goal. The Double Chooz trigger system is driven by the basic idea of triggering on multiple thresholds according to the total visible energy and additionally triggering on the number of active photomultiplier tubes (PMTs) in the detector. To do so, the trigger system continuously monitors the analogue signals from all PMTs in the detector. The amplitudes of these PMT-signals are summed for groups of certain PMTs (group signals) and for all PMTs (sum signal), respectively. The group signals are discriminated by two thresholds for each input channel and four thresholds for the sum signal. The resulting signals are processed by the trigger logic unit which is implemented in a FPGA. In addition to the proper trigger, the trigger system provides a common clock signal for all subsequent data acquisition systems to guarantee a synchronous readout of the Double Chooz detectors. The present design of the system provides a high flexibility for the applied logic and settings, making it useful for experiments other than Double Chooz. The Double Chooz trigger and timing system was installed and commissioned in 2011. This article describes the hardware of the trigger and timing system. Furthermore the setup, implemented trigger logic and performance of the trigger and timing system for the Double Chooz experiment is presented.
A high prevalence of chronic gastrointestinal symptoms in adults with cystic fibrosis is detected using tools already validated in other GI disorders

Background People with cystic fibrosis (CF) report a variety of gastrointestinal (GI) symptoms, independent of pancreatic enzyme insufficiency (PEI), reminiscent of other chronic GI disorders. There are currently no accepted or validated assessment tools and neither the range, frequency nor severity of GI symptoms has been systematically described in CF. We present results of a cross-sectional study using established tools and compare them to current measures of quality of life (QOL). Methods Consecutive patients attending specialist CF appointments were asked to complete questionnaires including the GI Symptom Rating Scale (GSRS); Irritable Bowel Syndrome Symptom Severity Score (IBS-SSS) and Cystic Fibrosis Questionnaire (CFQ-R). Questionnaire terminology was altered to replace references to ‘IBS’ with ‘GI symptoms’. Results In total, 107 patients were recruited (mean age, 27.8 ± 9.6 years; 60 female), and 94 (88%) had PEI. Body mass index was 22.1 ± 3.6 kg/m2, forced expiratory volume in one second was 59 + 27.7% predicted. Fifty-three (49.5%) were p.Phe508del homozygous. Overall 69/107 (65%) reported significant GI symptoms independent of PEI or adherence to pancreatic enzyme replacement therapy (PERT), with the four most frequent being attributable to the lower GI tract: bloating/distension, flatulence, abdominal pain and borborygmi (gurgling). There was no numerical correlation between any CFQ-R domain (particularly Digestion domain) and GSRS or SSS. Conclusion This is the first systematic study measuring GI symptoms in CF using validated GI tools. Symptoms are not related to PERT or genotype and appear to be captured well by the GSRS. Further research will study longitudinal changes with treatment, and therapeutic trials in CF may use these tools to demonstrate a positive impact on ‘non-respiratory’ symptoms and QOL.