Miracle-dz/UniFAR-FTUs huggingface dataset:
Power Consumption and Revenue Growth in a Large-Scale Utility Cloud

Modern data centres that operate under the cloud computing model are hosting a variety of applications ranging from those that run for a few seconds (e.g., serving requests of Web applications such as ecommerce and social network portals) to those that run for longer periods of time (e.g., simulations or large dataset processing) on shared hardware platforms. The need to manage multiple applications in a data centre creates the challenge of on- demand resource provisioning and allocation in response to time-varying workloads. Normally, data centre resources are statically allocated to applications based on peak load characteristics in order to maintain isolation and provide perfor- mance guarantees. Until recently, high performance has been the sole concern in data centre deployments, and this demand has been fulfilled without paying much attention to energy consumption. Energy costs of powering a typical data centre doubles every five years. Because energy costs are increasing while availability dwindles, there is a need to shift focus from optimizing data centre resource management for pure performance alone to optimizing for energy efficiency while maintaining high service-level performance.
"Der Schwarm" Playful Learning with an Interactive Virtual Flock

The idea of playful and embodied learning has been the main objective for the development of the installation „Der Schwarm“. It enables interaction with algorithmic processes using whole body movements. Interaction takes place with light spots that are projected on the floor. The light spots show animal flock behavior. The reaction of the flock can be interpreted as formalised semantic feedback to the person’s activity. The installation aims to raise children's curiosity about technology through playful learning. We introduce a workshop concept for children aged 8-12.
Anti-Termites Properties of Liquid Smoke from Bintangur Wood

Wood and wood-based products are very vulnerable to termite attacks. One of the methods to control termite attacks is using chemical insecticide. However, the use of chemical insecticide is considered a negative effect on the environment. The aim of this research was to determine the anti-termite properties of liquid smoke against Coptotermes curvignathus Holmgren. The liquid smoke derived from bintangur wood pyrolysis at 370°C, 400°C, and 430°C was assessed as an anti-termite activity. Anti-termite activities against C. curvignathus were conducted by using liquid smoke with the concentration of 2%, 4%, 6%, and 8% (v/v). Simple linear regression was used to measure the effect of liquid smoke concentration against C. curvignathus. The results showed that the liquid smoke concentration of 6% and 8% at the three pyrolysis temperatures effectively controlled the subterranean termite's attack and resulted in 100% termites mortality. The chemical content of bintangur wood vinegar has contained phenol (1.23–1.65%) and acid (4.33–6.68%). Keywords: acid content, antitermitic activity, bintangur wood, phenol content, wood vinegar
Proposing an Uncertainty Management Framework to Implement the Evidence Theory for Vehicle Crash Applications

The purpose of this work is to enable the use of the Dempster-Shafer evidence theory for uncertainty propagation on computationally expensive automotive crash simulations. This is necessary as the results of these simulations are influenced by multiple possibly uncertain aspects. To avoid negative effects, it is important to detect these factors and their consequences. The challenge when pursuing this effort is the prohibitively high computational cost of the evidence theory. To this end, we present a framework of existing methods that is specifically designed to reduce the necessary number of full model evaluations and parameters. An initial screening removes clearly irrelevant parameters to mitigate the curse of dimensionality. Next, we approximate the full-scale simulation using metamodels to accelerate output generation and thus enable the calculation of global sensitivity indices. These indicate effects of the parameters on the considered output and more profoundly sort out irrelevant parameters. After these steps, the evidence theory can be performed rapidly and feasibly due to fast-responding metamodel and reduced input dimension. It yields bounds for the cumulative distribution function of the considered quantity of interest. We apply the proposed framework to a simplified crash test dummy model. The elementary effects method is used for screening, a kriging metamodel emulates the finite element simulation, and Sobol' sensitivity indices are determined before the evidence theory is applied. The outcome of the framework provide engineers with information about the uncertainties they may face in hardware testing and that should be addressed in future vehicle design.
Wind Energy Directional Spatial Correlation Functions and Application for Prediction

In planning, design, operation and maintenance of wind farms, the spatial variations in wind velocity become significant. Although there are many wind energy studies at a single location, spatial assessment evaluation methods are scanty. Wind velocity maps may provide a common basis for regional assessment and interpretations, but they do not yield means of regional prediction. Hence, the main purpose of this paper is to propose some new concepts and methods that are useful prior to regional wind energy potential calculations. Among these are Directional Point Cumulative Semivariogram (DPCSV) concepts, which provide information concerning local spatial wind velocity and/or elevation changes. It is possible to obtain the radius of wind velocity influence around each station, along desired directions, based on the DPCSV concept. The implementation of the proposed methodology is presented for some wind velocity measurement stations in Turkey. For the application, the sample DPCSVs are first obtained from the available data, and then converted to Local Spatial Dependence Functions (LSDF). These functions are the basic ingredients for the regional wind velocity estimations. The reliability of the methodology is measured through the cross validation procedure and it is observed that the procedure is valid with less than 20% error.
Algorithm of adaptation in the attitude control system of a flexible spacecraft

The problem of designing of an adaptive and high-accuracy control system for orientation of flexible spacecraft (FS) is considered. It is assumed that control is a relay one. In this case elastic oscillations of spacecraft flexible elements are the most dangerous from the viewpoint of control system stability. Also it is assumed that for control only limited information about object’s co-ordinates can be used and the FS mathematical model is nonstationary and (or) badly defined. It is presented the procedure of the synthesis of the adaptive control algorithm with reference model that is based on Lyapunov’s method. The structure of a combined control system is suggested. It has a subsystem of the elastic oscillations damping during the intervals of the FS’ passive motion that correspond to the dead zone of relay control algorithm. The computer simulation results illustrating workability and control quality of combined adaptive system are described.
Mode conversion at diffracting apertures in millimeter and submillimeter wave optical systems

Diffraction effects, which occur when the fields in a beam waveguide are truncated at absorbing stops, can be conveniently analyzed using scattering-matrix theory applied to Gaussian-beam modes. The authors present recursion relationships for the elements of the scattering matrix when a nonaxially symmetric beam illuminates an axially symmetric stop. They demonstrate the technique by calculating the total loss and beam profiles in a system comprising a diagonal horn, a lens, a window, and two off-axis mirrors. The finite size of each component is taken into account. >
Young Workers in Transition: Explaining the Density Gap by a Life-course Perspective

A common challenge for all trade unions in most of the Western world is the growing trade union density gap between young and older workers. In this paper, we examine the generational trade union gap with point of departure in the Danish case. Our data stem from two large surveys (APL II & III). We find that young workers are not more individualized; to the contrary, unorganized young workers have a growing collective mind-set. Through the lens of a life-course perspective, our data show that young workers have a growing ‘fluidic’ working life. Many young workers also take jobs in parts of the labor market with weak trade unions representation not allowing them to get in contact with trade unions representatives.
Numerical Heat Transfer Correlation for Array of Hot-Air Jets Impinging on 3-Dimensional Concave Surface

Numerical heat transfer correlations established from a numerical computational fluid dynamics (CFD) study of a three-dimensional hot-air jet array impinging on curved (circular) surface are presented. The results are in the form of numerical correlations for the average and maximum Nusselt number for different nozzle-to-nozzle spacing, nozzle-to-surface height, and hot-air jet Mach numbers typical of those in an hot-air antiicing system employed on aircraft wings. A validation case is presented, and it is shown that the results obtained from the CFD study are in good agreement with experimental data found in the literature. An interpolation technique, the Dual-Kriging method, that makes use of the numerical database for antiicing simulation on aircraft wings is presented. The benefit of using the Dual-Kriging method is that it preserves the nonlinear nature of the heat transfer distribution from a hot-air jet impinging on a curved surface.
Self-organization of in vitro neuronal assemblies drives to complex network topology

Activity-dependent self-organization plays an important role in the formation of specific and stereotyped connectivity patterns in neural circuits. By combining neuronal cultures, tools with approaches from network neuroscience and information theory, we can study how complex network topology emerges from local neuronal interactions. We constructed effective connectivity networks using a transfer entropy analysis of electrophysiological signals recorded from rat embryo dissociated hippocampal neuron cultures between 6 and 35 days in vitro to investigate how the neuronal network topology evolves during maturation. The methodology for constructing the networks considered the synapse delay and addressed the influence of firing rate and population bursts as well as spurious effects on the inference of connections. We found that the number of links in the networks grew over the course of development, shifting from a segregated to a more integrated architecture. As part of this progression, three significant aspects of complex network topology emerged. In agreement with previous in silico and in vitro studies, a small-world architecture was detected, largely due to strong clustering among neurons. Additionally, the networks developed in a modular community topology, with most modules comprising nearby neurons. Finally, highly active neurons acquired topological characteristics that made them important nodes to the network and integrators of communities. These findings leverage new insights into how neuronal effective network topology relates to neuronal assembly self-organization mechanisms.
Wastewater Criteria for Irrigation in Arid Regions

With rapid growth of agriculture coupled with increasing population and urbanization, the demand for water in the Kingdom of Saudi Arabia is continually on the increase, causing alarming drawdown in the deep aquifers, the traditional source of water. Sewage could be a valuable source to augment this dwindling water supply, at least the irrigation supplies, and should not continue to be wasted. However, between the two extremes of use of untreated sewage for irrigation as practiced in some countries and very stringent standards that necessitate an expensive tertiary treatment, there exists a middle‐of‐the‐road approach. This moderate alternative combines flexibility with a permit system on a case‐by‐case basis to make the best use of this valuable commodity. This viewpoint is strengthened by the experimental results obtained on a 50‐m×25‐m(160‐ft×80‐ft) University of Petroleum & Minerals (UPM) farm, where secondary treated effluent with chlorination was used through a sprinkler system to grow alfalfa, summ.
EVALUASI COATING MATERIALS UNTUK MELINDUNGI BAKTERI PROBIOTIK PSEUDOALTEROMONAS PISCICIDA SELAMA PROSES MIKROENKAPSULASI DAN PENYIMPANAN

Disease is an obstacle in Pacific white shrimp culture that can cause economic losses. Probiotic bacteria Pseudalteromonas piscicida 1Ub RfR is able to improve the growth performance and immune responses of Pacific white shrimp and has the potential to be developed into dry products to make it more practical for use in the field. This study aims to obtain the best coating materials that can protect probiotic bacteria during the microencapsulation and storage process. This research was conducted in September-December 2020 at the Laboratory of Microbiology of IPB Sukabumi Campus and South-East Asia Food and Agricultural Science and Technology (SEAFAST). This research consists of 2 Chapters, Chapter 1 to obtain the best coating materials and Chapter 2 to obtain the best results after the microencapsulation process. Coating materials used in this study were whey protein and maltodextrin. The microencapsulation technique used is freeze drying and spray drying. The probiotic bacteria used was P. piscicida from Fish Health and Management Laboratory, Department of Aquaculture, FPIK IPB and was marked with rifampicin resistance (1Ub RfR). The research in Chapter 1 consisted of 4 treatments, including K (without coating material), A (single coating with whey protein), B (single coating with maltodextrin), and C (double coating with whey protein and maltodextrin). Furthermore, each treatment in Chapter 1 is continued for the microencapsulation process. The results showed that the treatment with double coating and encapsulated by freeze drying was the best probiotic products compared other treatments.
Analysis of Direct Torque Control of Industrial Drives using Zone-Shifting SVM

Direct Torque Control of Induction Motor has gained popularity in industrial applications mainly due to its simple control structure from its first introduction in 1986. Here the direct torque control (DTC) of induction motor with zone shifting space vector modulation (SVM) has been done. It uses a simple phase current re-construction algorithm for three phase induction motor (IM). The phase current re-construction algorithm is done by using information from the current that is from the phases between the inverter and the induction motor. The proposed algorithm is robust and very simple. It uses the AC current to get the stator current for estimating the motor flux and the electromagnetic torque. By evaluating through the torque value and the current the controlling of induction motor is done. The simulation results are also given which supports the direct torque control strategy of the induction motor (IM).
Effect of Repetition Duration—Total and in Different Muscle Actions—On the Development of Strength, Power, and Muscle Hypertrophy: A Systematic Review

ABSTRACT The aim of this systematic review was (a) to identify the articles that have differentiated muscle action duration (MAD) in the eccentric (ECC) and concentric (CON) muscle action regimen during resistance training (RT) programs and (b) to analyze how MAD affects strength, power, and muscle hypertrophy adaptations. Twenty-four studies were included from 3 electronic databases. The results showed that the RT protocols with medium ECC MAD and fast CON MAD, specifically cadences 2–4/0/1/0, produced the highest improvement values for the development of maximum dynamic strength, both in trained (18–24%) and untrained subjects (10–14%). For the development of maximum power, a medium total repetition MAD of less than 4 seconds and slow total repetition MAD, less than 8 seconds, seems suitable for untrained and trained subjects, respectively, with the condition that CON MAD is explosive or fast (cadence 4–8/0/max-3/0). Finally, muscle hypertrophy could be improved with a total repetition MAD less than 8 seconds in both trained and untrained subjects. The optimal timing of each muscle action to maximize hypertrophic training results is still not entirely clear. In conclusion, the prescription of the MAD, total and phase specific, should be planned according to the adaptations desired in untrained and trained individuals.
Prominent point InSAR phase filter

The statistical property of prominent points in SAR interferometry is discussed after the derivation of the probability density function of Hermitian product of two correlated Rican class SAR signals. A simple processing strategy is then provided for better phase filtering performance based on prominent point index. The validity of the proposed method is demonstrated by SIR-C/X-SAR data. Our initial results show the advantage of such algorithm over conventional ones.
A very low-power consumption wireless ECG monitoring system using body as a signal transmission medium

A very low-power consumption wireless system for monitoring ECG (electrocardiogram) is proposed. It consists of an ECG detector/transmitter located on the chest and the relay transmitter placed at the wrist. Between the detector part and the relay transmitter, the signal is send as the AC micro current flows through the tissue of the body. Since this method achieves very low-power signal transmission of about 8 /spl mu/W (400 mV/sub RMS//spl times/20 /spl mu/A/sub RMS/), the system can be driven by a very small power source like a thin film battery. A similar wireless transmission method can be applied for other medical signal/data sensing micro systems sharing the same relay transmitter.
Clinical Replacement Strategies for Meniscus Tissue Deficiency

Meniscus tissue deficiency resulting from primary meniscectomy or meniscectomy after failed repair is a clinical challenge because the meniscus has little to no capacity for regeneration. Loss of meniscus tissue has been associated with early-onset knee osteoarthritis due to an increase in joint contact pressures in meniscectomized knees. Clinically available replacement strategies range from allograft transplantation to synthetic implants, including the collagen meniscus implant, ACTIfit, and NUSurface. Although short-term efficacy has been demonstrated with some of these treatments, factors such as long-term durability, chondroprotective efficacy, and return to sport activities in young patients remain unpredictable. Investigations of cell-based and tissue-engineered strategies to treat meniscus tissue deficiency are ongoing.
Dietary ferulic acid supplementation improves intestinal antioxidant capacity and intestinal barrier function in weaned piglets

Abstract This study was conducted to explore the effects of dietary ferulic acid (FA) supplementation on intestinal antioxidant capacity and intestinal barrier function in weaned piglets. Eighteen 21-day-old castrated male DLY (Duroc × Landrace × Yorkshire) weaned piglets were randomly divided into control, 0.05% FA, and 0.45% FA groups, respectively. The experiment lasted for 5 weeks. The results showed that dietary 0.05 and 0.45% FA supplementation significantly increased catalase activity (p < 0.001), the protein levels of nuclear factor E2-related factor 2 (Nrf2) and NAD(P)H quinone dehydrogenase 1 (p < 0.05), and the mRNA levels of superoxide dismutase 1, glutathione reductase and Nrf2 (p < 0.05) in jejunum when compared with the control group. Dietary 0.05% FA supplementation also increased the mRNA level of glutathione S-transferase (p < 0.05) in jejunum. Meanwhile, Dietary 0.05 and 0.45% FA supplementation significantly increased the protein expression of zonula occludens 1 (ZO-1) (p < 0.05), and dietary supplementation of 0.05% FA increased the mRNA levels of ZO-1, zonula occludens 2, mucin 1, mucin 2, occluding, and claudin-1 (p < 0.05) in jejunum. Together, our data suggest that dietary 0.05% FA supplementation improves the intestinal antioxidant capacity and intestinal barrier function of weaned piglets.
Epigenetics: The Key to Future Diagnostics and Therapeutics of Lung Cancer

Lung cancer is still the major cause of cancer-related mortality around the globe. The interplay of permanent genetic and dynamic epigenetic changes leads to the onset and progression of lung cancer. The diagnosis is often made at an advanced stage when the prognosis is dismal and therapy choices are restricted. Epigenetic association with lung cancer has long been studied but with fewer success rates. Research is still progressing, and with an advanced understanding of human genomics, more and more information is being unveiled. In the last decade, epigenetics and particularly research on DNA methylation and histone modification have provided vital information to understand lung cancer pathogenesis better. As a result, stage-specific epigenetic modifications can be employed as strong and reliable tools for early lung cancer detection and patient prognosis monitoring. The information on epigenetic biomarkers for lung cancer is summarised in this review, which focuses on DNA methylation and histone modification, as well as its implications for early detection, diagnosis, prognostication, and treatments.
Numerische Simulationen des Clay‐Smear‐Prozesses in Sandboxversuchen

Bei der Lagerstättenerkundung und Erdölförderung sind Kenntnisse über die Strömungssituation im Untergrund von entscheidender Bedeutung. An Störungszonen können die Strömungsvorgänge z. B. durch Eintrag von Ton (Clay Smear) behindert werden. Zur Beurteilung des Clay Smears existieren verschiedene Ansätze, die die Schichtmächtigkeit der Ausgangssituation und den Versatz in der Störungszone berücksichtigen, z. B. Shale Gouge Ratio (SGR). Anhand von Grenzwerten wird dann abgeschätzt, ob der Ton in der Störungszone abdichtend wirkt oder nicht. Wichtige Einflussparameter, wie die Scherfestigkeitseigenschaften der Materialien und das Spannungsniveau, werden bei den bestehenden Ansätzen jedoch nicht berücksichtigt.
Real-time frequency and harmonic evaluation using artificial neural networks

With increasing harmonic pollution in the power system, real-time monitoring and analysis of harmonic variations have become important. Because of limitations associated with conventional algorithms, particularly under supply-frequency drift and transient situations, a new approach based on nonlinear least-squares parameter estimation has been proposed as an alternative solution for high-accuracy evaluation. However, the computational demand of the algorithm is very high and it is more appropriate to use Hopfield type feedback neural networks for real-time harmonic evaluation. The proposed neural network implementation determines simultaneously the supply-frequency variation, the fundamental-amplitude/phase variation as well as the harmonics-amplitude/phase variation. The distinctive feature is that the supply-frequency variation is handled separately from the amplitude/phase variations, thus ensuring high computational speed and high convergence rate. Examples by computer simulation are used to demonstrate the effectiveness of the implementation. A set of data taken on site was used as a real application of the system.