Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGN AND IMPLEMENTATION OF A 2DOF ROBUST CONTROLLER FOR SERVO-HYDRAULIC TABLE

هلاقم تاعلاطا هدیکچ لماک یشهوژپ هلاقم :تفایرد 17 ریت 1393 :شریذپ 28 رویرهش 1393 :تیاس رد هئارا 30 رهم 1393 متسیس ورین هب نزو نییاپ تبسن و لااب تقد تلع هب کیلوردیهورس ياه هدرتسگ دربراک هخاش رد يا دنراد تعنص فلتخم ياه . نامزمه دوبهب متسیس نیا نوزفا زور ياهزاین زا ینامز خساپ و تقد یم اه نامرف . دشاب یکیناکم يازجا کیرحت ثعاب ،کیلوردیهورس رگلمع عیرس تکرح ياه یم بولطمان تاشاعترا داجیا و نآ هب لصتم عفر يارب هدش هیصوت لح هار . ددرگ مدع نتفرگ رظن رد اب هتفرشیپ رگلرتنک زا هدافتسا ،لکشم نیا تیعطق یم متسیس يلااب سناکرف ياه و بولطمان تاشاعترا زا يریگولج فده اب تیعقوم يدازآ هجرد ود مواقم رگلرتنک ،شهوژپ نیا رد . دشاب هدایپ و یحارط کیلوردیهورس زیم يارب مواقم ییاراک نیمات نیا رد . تسا هدش يزاس لدم متسیس نیا فلتخم يازجا اتسار متسیس و هدش يزاس یمومع شور اب يدازآ هجرد ود مواقم رگلرتنک . تسا هدش یئاسانش يرتسکاخ هبعج شور زا هدافتسا اب کیلوردیهورس زیم تیعطق مدع و یمان یب مرن ) تیاهن ∞ H لیلحت زا هدافتسا و ( μ سپ كولب ياراد رگلرتنک نیا . تسا هدش یحارط عفد و زیون و تیعطق مدع تارثا شهاک تهج روخ یم دوبهب ار ییاراک ،نامرف لانگیس حلاصا اب ورشیپ رگلرتنک كولب هک یلاح رد ،هدوب شاشتغا یبایدر تهج هدش یحارط یلرتنک متسیس . دشخب لانگیس هقنزوذ و یسونیس تیعقوم ياه زآ رتسب رب يا هدایپ کیلوردیهورس شیام اب هسیاقم رد متسیس نیا هک دش هدهاشم . تسا هدش يزاس یم روخسپ كولب ياراد طقف هک جیار مواقم رگلرتنک قیقد درکلمع ،دشاب عیرس خساپ و رت . تسا هتشاد يرت جیاتن نومزآ ياه هدنهد ناشن هدرتسگ نک مواقم درکلمع و زیون تارثا شهاک ،شاشتغا هب بسانم خساپ لرت یم ،هدش فیرعت تیعطق مدع هدودحم رد هتفای هعسوت رگ دشاب . :ناگژاو دیلک رگلرتنک مواقم رگلرتنک ود هجرد يدازآ مدع تیعطق کیلوردیهورس
Phytochemical Screening and Antibacterial Activity of Aqueous and Methanolic Leaf Extracts of Two Medicinal Plants against Bovine Mastitis Bacterial Pathogens

Spathodea campanulata P. Beauv is extensively used in Indian traditional and folklore medicines to cure various human ailments. Tridax procumbens Linn is a tropically distributed medicinal plant. Antimicrobial activity of aqueous and methanol extracts of two plants were investigated by agar disc and well-diffusion method against bovine mastitis bacterial pathogens. The plant extracts showed inhibitory activity against the tested organisms. Phytochemical screening of the plant revealed the presence of tannins, flavonoids, saponins and alkaloids. The study scientifically validates the use of plant in traditional and ethnoveterinary medicine.
A class of observer-based fault diagnosis schemes under closed-loop control: performance evaluation and improvement

This work was supported by National Natural Science Foundation of China (NSFC) under Grants 61490701, 61290324, 61210012, 61333005, and Research Fund for the Taishan Scholar Project of Shandong Province of China. The work of Zidong Wang was also supported by NSFC under Grant 61273156. The work of Xiao He was also partially supported by NSFC under Grants 61473163, 61522309, and Special Fund of Suzhou-Tsinghua Innovation Leading Action and Tsinghua University Initiative Scientific Research Program.
Time Arrows and Determinism in Biology

I propose that, in addition to the commonly recognized increase of entropy, two more time arrows influence living beings. The increase of damage reactions, which produce aging and genetic variation, and the decrease of the rate of entropy production involved in natural selection are neglected arrows of time. Although based on the statistical theory of the arrow of time, they are distinguishable from the general arrow of the increase of entropy. Physiology under healthy conditions only obeys the increase of entropy arrow. But aging, death, and evolution are determined by the other time arrows as well. Paradoxes emerge from conflicts among the specific determinisms associated with each arrow. These conflicts, along with uncertainties intrinsic to the low-number statistics of the arrows of damage reactions and decrease of the rate of production of entropy, highlight the limits of determinism at different levels of biology and its dependence on time span and number of organisms. The recognition of the three time arrows opens new perspectives for the problem of compatibility of the flow of time in physics and psychology.
Response of phytoplankton functional groups to fluctuating water level in two shallow floodplain lakes in Cross River, Nigeria

Abstract The response of the phytoplankton community to water level fluctuation in Cross River floodplain lakes in West Africa was studied to identify structuring forces and to compare the response to other tropical regions. Samples were collected monthly from pelagic and littoral zones in the lakes for 18 months (March 2005–August 2006) for water quality variables and phytoplankton analysis. The results showed that temperature (25.6–37.6 °C), water level (0.6–5.5 m), dissolved oxygen (0.5–8.7 mg L−1), and conductivity (11–45 μS cm−1) varied significantly (p < 0.05) between low water period (LWP) and high water period (HWP), while changes in transparency (0.1–2.9 m), nitrate (NO3-N; 0.03–5.9 mg L−1), and orthophosphate (PO4-P; 0.04–2.0 mg L−1) were not significant between these 2 hydrologic periods. Species richness (47–96 species), Shannon-Weiner index (6.6–7.5 bit ind.−1), and biomass (4.4–17.3 mg L−1) were lower in 2006 HWP compared to 2005. Fourteen functional groups were established, and the sequence of phytoplankton seasonality was summarized as MP→M/S1 (limnophase→potamophase; 2005) and MP→S1→Na/D (2006). Hydrologic (vertical and horizontal fluctuations in water level), climatic (temperature), eutrophic (NO3), and biotic (zooplankton grazing) factors were identified as the dominant forces shaping the phytoplankton community.
DEPLOYMENT OF ICT AND E-BUSINESS APPLICATIONS IN THE TRANSPORT & LOGISTICS INDUSTRY

e-Commerce" can mean different things in the transport & logistics sector (TLS). In passenger transport, it can mean "e-ticketing", enabling customers to order and receive their ticket online. In freight transport and logistics, e-commerce includes initiating, tracking, and acknowledging shipments online. The special role of this subsector in this context is that its business is exactly to provide these services to other industries. Thus, logistics companies are not only users of e-business themselves, but, in a way, provider of e- services. In all cases, e-commerce is in this sector closely linked with the objective to optimise business processes: paperless trade eliminates the operational costs related to manual paper processing and increases the transparency of the supply chain and information exchange between trading partners. Another e-commerce application is e-ticketing in passenger transport. This is a ticket-less concept, which ideally provides companies with the opportunity to reduce administrative costs and, at the same time, offer a higher level of service to travelers.
Real-Time Spatial Profiling of Subgrade Stiffness for Quality Assurance of Field Compaction

ABSTRACT During the inspection of compaction quality for highway roadbeds or railway trackbeds, the selection of a spot for the plate bearing test (PBT) or field density test may frequently invoke conflicts between the construction inspector and construction manager. Furthermore, if compaction quality is not acceptable, a judgment on whether it is attributed to poor material or poor compaction efforts is not straightforward. Consequently, specifications on compaction quality based on a one-point method such as the PBT and field density test would not be a rational approach. As an alternative to the one-point method, this paper proposes a non-destructive surface-wave technique for a spatial distribution of surface-wave velocity (or shear-wave velocity) of compacted material as compaction quality in two dimensions to eliminate the conflicts involved in selecting a test spot. The proposed technique, called the impact-source CSW (ICSW) method, evolved from the conventional continuous surface wave (CSW) method. ICSW method incorporates an impact source rather than a harmonic-signal vibrator. Also, it adopts a new analysis algorithm called the wave-number unwrapping technique, developed to overcome the inherent limitation of the conventional CSW method. To verify validity and feasibility of the proposed ICSW method, field applications were made to construct a 2-D stiffness profile of compacted subgrades and comparisons were made between Young’s moduli from ICSW tests and subgrade reaction coefficients from PBT. INTRODUCTION Compaction is a process to increase dry density of soil mass and in turn to increase soil stiffness, and it is an essential process to reduce elastic and plastic deformation caused by traffic loading. In general, a well-designed flexible road pavement would be expected to show a permanent deformation of little more than 20 to 30 mm after a life of 20 years (1). Quality assurance (QA) of compacted subgrade and road base is strictly required in building a safe and healthy pavement. One of the QA procedures adopted in Korea is to ensure field density of compacted material to meet 95% of the maximum dry unit weight by the modified Proctor test. Frequent testing of field density is not practical at a construction site, so the Road Design Criteria of Korea specifies a field density test at every 1000 m
Who Am I on Facebook？ Usage and Motivation Through User Eyes

This article discusses different modes of using Facebook and the motivation for its users. The analysis aims to clarify how and why users might resort to one or more usage modes when joining this social network and emphasizes the relationship between interactions mediated by this social network and user identity. For this we conducted semi-structured interviews with 10 young Facebook users—five males and five females—all residing in Brasília-DF, Brazil. The results obtained were compared with those found in previous research. We used theoretical derived data from social psychology and socio-cultural anthropology for the data analysis and conducted an accurate literature review. The conclusion goes beyond the distinction between motivation and usage and expresses a critical analysis of Facebook usage purposes thus indicating widespread use that can extend to other specifics depending on the interests of the participants. Furthermore, there is motivation behind Facebook which is not yet mentioned in existing research which attracts enthusiasts to Facebook and is directly related to the issue of identity in the contemporary world.
Using GPR to image a Turbidite Outcrop in Almada Basin, Brazil

Sandy and/or conglomeratic turbidites and shales of Urucutuca Formation outcrops occur in onshore Almada Basin, northeast Brazil. These rocks are part of an exhumed portion of the filling-section of the Almada Canyon, which is well mapped by seismic studies in offshore part. Such outcrops can be considered as analogues to some important turbidite reservoirs of Campos Basin, the main Brazilian petroleum basin. Ground Penetrating Radar (GPR) is an electromagnetic method that can obtain subsurface images with a sub-meter vertical resolution, which is appropriated to study such thin structures usually found in turbidite outcrops. This work shows the results from a set of georadar (GPR) profiles obtained at one outcrop in Almada Basin. Those data yielded high-resolution images of the outcrop, which aided by a geological interpretation of the exposed section and radar 2D forward modeling, could assist on the delineation of channels and layering patterns. That information may prove to be useful in designing more detailed stratigraphical models, which can improve the knowledge of analogues turbidite reservoirs, aiming to enhance the production of oilfields associated to this kind of reservoirs.
Performance Evaluation of Scalable Distribution of Omni-Directional Video Sequences using H.264

In this paper, we present a scalable solution for distributing omni-directional video sequences to multiple viewers using advanced facilities provided by the H.264 codec. In contrast to traditional broadcast scenarios, in the context of omnidirectional video, it is the consumer who defines the camera view direction and viewport size. This hints to the fact that a single generic stream will generally not suffice as input for the client viewer application or device, but that a customized stream is required for each user. Transcoding such content on the fly is widely regarded as a non-scalable solution, as will also be demonstrated in this paper. The proposed solution to the scalability problem consists of viewport selection in the compressed domain, reducing the complexity to the selection of specific parts in an existing bit stream. Experimental results are provided that demonstrate the feasibility of the solution and quantify the performance gain over a
Model-based Regional Assessment of Water Use An Example for Semi-arid Northeastern Brazil

Abstract Water use assessments are a necessary prerequisite for sustainable water resources management and planning in river basins, federal states, or countries. For reasons of transparency, flexibility, ease of update, and the possibility to generate scenarios of future water use, such assessments are best carried out by applying a water use model. To support water resources planning in two federal states of semi-arid Northeastern Brazil, Ceará and Piauí, the regional-scale water use model NoWUM was developed. It computes withdrawal and consumptive water use for each of 332 municipalities, distinguishing five water use sectors: irrigation, livestock, households, industry, and tourism. The model is suited to simulate the impact of global change and of management measures on water demand. Using NoWUM, the present-day water use situation in Ceará and Piauí is assessed. In addition, the impact of inter-annual climate variability and long-term climate change on irrigation requirements is considered. Scarce and uncertain input data lead to a high level of uncertainty in the model results. It is likely that water use in the most important sector, irrigation, is underestimated, while industrial water use is possibly overestimated. With some modifications, NoWUM has the potential to be applied for water use assessments in other data-poor regions of the globe.
Heterogeneous Responses to Effective Tax Enforcement: Evidence from Spanish Firms

We investigate whether monitoring the information trails generated by firms’ activities improves tax compliance. We exploit quasi-experimental variation generated by a Large Taxpayers’ Unit (LTU) in Spain, which devotes additional resources to verifying the transactions reported by firms with more than €6 million in reported revenue. Firms bunch below this threshold in order to avoid stricter tax enforcement, and this reaction is stronger in sectors where paper trail is easier to monitor. These results suggest that monitoring efforts by the tax authority and the traceability of information reported by firms are complements, and both are necessary for effective tax enforcement.
From the Flawed "Theory of Constraints" to Hierarchically Balanced Criticalities (HBC) 1

The five focusing steps (5FS) approach, also known as “Theory of Constraints,” as articulated and explained in Goldratt’s books, is neither a theory nor a correct methodology. Nonetheless, in practice, it often leads to major successes. I interpret the term Management by Constraints (MBC) as the correct aspects of 5FS and argue that successful MBC applications never follow 5FS with complete faithfulness. 5FS involves an internal inconsistency that must be faced courageously: To make drumbuffer-rope (DBR) work, 5FS forbids balance, and yet its fourth step promotes balance. MBC implicitly rejects DBR and allows balance. We should go further and seek economic balance. The next step is to pursue balanced economic growth in hierarchical systems. In effect, the result is a combination of MBC and of policy deployment aimed to improve both.
Sequential Human Activity Recognition Based on Deep Convolutional Network and Extreme Learning Machine Using Wearable Sensors

Human activity recognition (HAR) problems have traditionally been solved by using engineered features obtained by heuristic methods. These methods ignore the time information of the streaming sensor data and cannot achieve sequential human activity recognition. With the use of traditional statistical learning methods, results could easily plunge into the local minimum other than the global optimal and also face the problem of low efficiency. Therefore, we propose a hybrid deep framework based on convolution operations, LSTM recurrent units, and ELM classifier; the advantages are as follows: (1) does not require expert knowledge in extracting features; (2) models temporal dynamics of features; and (3) is more suitable to classify the extracted features and shortens the runtime. All of these unique advantages make it superior to other HAR algorithms. We evaluate our framework on OPPORTUNITY dataset which has been used in OPPORTUNITY challenge. Results show that our proposed method outperforms deep nonrecurrent networks by 6%, outperforming the previous reported best result by 8%. When compared with neural network using BP algorithm, testing time reduced by 38%.
Genetic Characterisation of Tiruchy Black Sheep of Tamil Nadu Using Microsatellite Markers

A total of 203 alleles were observed in the sampled population for the 25 marker loci under investigation. The number of alleles observed at each locus varied from 4 (OarHH41) to 13 (OarHH35) with a mean of 8.12±0.45 across all loci. The effective number of alleles ranged from 1.59 (OarHH41) to 7.51 (OarHH35). The mean number of effective alleles was 4.48±0.27 across all loci. The polymorphic information content values ranged from 0.7029 (OarHH41) to 0.9164 (OarHH35) with a mean of 0.8441±0.012, which showed high level of genetic variability. The x2 test revealed that among the 25 microsatellites studied only ten were in Hardy-Weinberg Equilibrium proportions. The observed heterozygosity ranged from 0.2609 (OarHH41) to 0.9600 (OarCP49) with a mean of 0.6995 and the expected heterozygosity ranged from 0.3734 (OarHH41) to 0.8756 (OarHH35) with a mean of 0.7575. The within population inbreeding estimates or heterozygotes deficiency within population (FIS) was observed in 13 loci and the positive FIS value ranged from 0.0796 (CSSM31) to 0.5895 (OarJMP8). Only twelve loci revealed negative FIS values (FIS
What Can International Cricket Teach Us About the Role of Luck in Labor Markets?

How important is luck in determining labor market outcomes? We address this question using a new dataset of all international test cricketers who debuted between 1950 and 1985. We present evidence that a player’s debut performance is strongly affected by an exogenous source of variation: whether the debut series is played at home or abroad. This allows us to identify the role of luck - factors unrelated to ability - in shaping future career outcomes. We find that players lucky enough to debut at home perform significantly better on debut. Moreover, debut performance has a large and persistent impact on long run career outcomes. We also make headway in empirically distinguishing between competing explanations for why exogenous initial conditions exercise a persistent impact on career performance
SELECTING A THIRD-PARTY LOGISTICS PROVIDER FOR AN AUTOMOTIVE COMPANY: AN ANALYTIC HIEARARCHY PROCESS MODEL

Summary: In this paper, a multi-criterion decision making (MCDM) model for outsourcing logistics services in the Turkish automotive industry is presented. In the paper, the logistics requirements of the automotive companies and the role of the third-party logistics (3PL) services in the automotive industry are reviewed. The concept of milk run and its benefits are explained. The current situation of the Turkish automotive industry and agricultural tractors segment is analyzed. An argument for
Measuring the variability in supply chains with the peakedness

This paper introduces a novel way to measure the variability of order flows in supply chains, the peakedness. The peakedness can be used to measure the variability assuming the order flow is a general point pro- cess. We show basic properties of the peakedness, and demonstrate its computation from real-time continuous demand processes, and cumulative demand collected at fixed time intervals as well. We also show that the peakedness can be used to characterize demand, forecast, and inventory variables, to effectively manage the variability. Our results hold for both single stage and multistage inventory systems, and can further be extended to a tree-structured supply chain with a single supplier and multiple retailers. Furthermore, the peakedness can be applied to study traditional inventory problems such as quantifying bullwhip effects and determining safety stock levels. Finally, a numerical study based on real life Belgian supermarket data verifies the effectiveness of the peakedness for measuring the order flow variability, as well as estimating the bullwhip effects.
ENVIRONMENTAL IMPACT AND RISK ASSESSMENT OF THE MAIN POLLUTION SOURCES FROM THE ROMANIAN BLACK SEA COAST

The environmental impact assessment (EIA) is a compulsory evaluation instrument for environmental management and decision making processes and applies to different phases of activities (plans, programmes, projects and /or existing production or services), because it measures the natural and anthropogenic activities effects upon the environment. These impacts may affect the cultural richness, biodiversity, social-economic conditions and human health as well as the ecosystem equilibrium. The aim of this study was to evaluate the environmental impact generated by the heavy metal pollution from the main sources located in the southern area of the Romanian Black Sea coast. Various pollution sources that discharge contaminated effluents were considered for the impact and risk assessment with concern to water and sediments. The main sources analyzed were the effluents of wastewater treatment plants (4 treatment plants of SC RAJA Constanta) and the effluents of a refinery. The methods applied in order to assess the impact of pollution sources with heavy metals were Rapid Impact Assessment Matrix (RIAM) and Integrated Environmental Impact and Risk approach. Environmental indicators used for impact quantification were correlated considering the concentrations of heavy metals from the effluents (generated by the 5 pollution sources), marine water and sediments. The results obtained in this study provide a general image for the heavy metal pollution caused by considered anthropogenic activities on the Romanian Black Sea Coast. The results showed that the analyzed pollution sources do not have a significant negative impact generated by the heavy metal pollution. However, the presence of other pollution sources should not be overlooked because the ecosystem equilibrium must be maintained even if the concentrations of the heavy metals are below the maximum allowed values.