Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Arcing Time on Voltage Distribution of Double-Break Vacuum Circuit Breaker During the Transient Recovery Voltage Rising Phase

Grading capacitors are required to balance the voltage distribution of the double-break vacuum circuit breaker. However, large grading capacitors increase the magnitude and duration of the reignition current. To reduce grading capacitors, a synthetic circuit with double vacuum breaks was set up to study the effects of arcing time on voltage distribution. The voltage distribution of the upper break decreases from 61% to 52% with arcing times of two breaks decreasing from 6.6 to 3.4 ms synchronously. The experimental results demonstrate that reducing the arcing times can balance the voltage distribution during the transient recovery voltage (TRV) rising phase. The unbalance of TRV distribution can be further improved by adopting appropriate arcing times in the two breaks with grading capacitors having a capacitance of 3000 pF.
Development of a Software Suite for Environmental Synthesis and Simulation for Short-Range ADAS Radar

This paper reviews the development of a software suite designed to calculate environmental radiolocational parameters and to simulate signals reflected from user predefined objects. The program suite is based on finite difference time domain method, that allows to achieve required calculation accuracy. This program suite is supposed to be used with ADAS radars either while its validation and verification or while conducting experiments on evaluation of its efficiency to detect targets in varying road conditions in a laboratory. Using more flexible and functional control systems will allow user to identify most of the problems at an early stage of radar design and avoid time and money losses in field tests.
First- and Second-Order Gradient Compensation with Only Eight Parts per Element in Unary DACs

Non-idealities in technology process lead to variations of element values in digital-to-analog converters (DACs). As a consequence, ratio of elements changes and contributes to the nonlinearity of the DAC transfer curve, affecting both the integral (INL) and differential (DNL) nonlinearity. These variations have a random component and a systematic component. The systematic component is usually described as a combination of a linear and a quadratic component, with the latter generally having a rotation term. Special placement techniques ("switching schemes") exist that allow for lowering the nonlinearity induced by the systematic error. If an element has only one part in the unary DAC array, only the INL can be decreased. With many parts per element, also the reduction of the DNL becomes possible. The linear component is easily compensated if the common-centroid property is fulfilled, that is with two parts per element. Techniques compensating the quadratic component normally demand 2N parts for an element in an N-bit array, and to compensate the rotation term, the whole array should be additionally mirrored. In this paper, we show that 8 parts per element are just enough for gradient compensation for any resolution N>2. With this option, realization of such DAC arrays (in order to decrease the DNL) becomes more practical.
Advances in Infrared and Raman Spectroscopy Vol 1

R J H Clark and R E Hester (eds) London: Hey den 1975 pp xiii + 306 price £13.80 The critical review articles in this volume are for the most part lucidly written by well known authors. Four of the six articles are concerned with determinations of structure and of force constants, although editorial policy is that articles in future volumes will cover other applications of and techniques in IR and Raman spectroscopy.
Optimizing Mutant Generation For Lustre Programs With Multi-Threading

Mutation testing is a white box testing technique, this technique can be automated at several steps of the mutation testing process. But the execution time is one of the limitations that researchers on mutation testing are interested in solving. In our project, we plan to develop a mutation testing framework for the Lustre language, which is popularly used for reactive systems. In our previous studies, we have proposed a set of mutation operators for Lustre programs, and an automatic mutation tool to generate first-order and higher-order mutants. However, the performance of the tool is a bit low when generating mutants for Lustre programs. In this paper, we focus on improving the mutant generation by implementing multi-threading technique. The experimentation shows that the approach saves execution time.
The Analysis of Logic Resynthesis Methods to Increase the Fault Tolerance of Combinational Circuits for Single Failures

The paper discusses the methods for protecting logic elements of combinational circuits from single failures. Until recently, the problem of manufacturing the microelectronic products resistant to single failures of logic elements was relevant mainly in the military and space industries. In these areas, the increased requirements are imposed on the fault tolerance of circuits, since the latter are functioning under the influence of external destabilizing factors. These factors can be heavy charged particles that affect the operation of logic elements and cause their single failures. Due to the solid-state devices scaling, the technological standards for integral circuits design and manufacturing change and the fault tolerance problem becomes relevant for devices of the civilian market, also. The paper proposes a technique for a resynthesis of vulnerable areas of logic combinational circuits. To assess the stability, the logic constraints derived from the resolution method are suggested to use.
OP-PCPJ200060 1297..1308

Molecular Plant Nutrition, Department of Physiology and Cell Biology, Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstrasse 3, 06466 Gatersleben, Germany Proteomics Core Facility, SYBIOMA, KU Leuven, O&N II Herestraat 49, Bus 901, 3000 Leuven, Belgium Division of Crop Biotechnics, Department of Biosystems, KU Leuven, Willem de Croylaan 42, Box 2455, 3001 Leuven, Belgium *Corresponding author: E-mail, vonwiren@ipk-gatersleben; Fax: +49 39482 5135. (Received November 22, 2019; Accepted April 28, 2020)
Supplementary Materials: Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning

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An Effective Method for the Monitoring of Stag Beetle (Lucanus cervus (Linnaeus, 1758) (Coleoptera: Lucanidae)) larvae

Lucanus cervus (Linnaeus, 1758) is involved in the Near Threatened (NT) danger category in the IUCN Red List. It plays an important role in the ecosystem, nutrient cycling, and the decomposition process of wood. Its larvae live under or in damp and decaying trees. We designed an equipment to ensure the detection and the long-term monitoring of Lucanus cervus and many other insect larvae that complete their larval stages in a wood tissue without destroying their habitats. The equipment developed is an audio listening device that amplifies the larval sounds. This device was designed as a 4-stage structure with a sensor stage, low and high pass filter stage, voltage gain sound amplifier stage, and output stage. This device was used for the first time in the larvae’s natural environment. With this new equipment, listening was performed on decaying trunks in the Amanos Mountains, which are included in the spreading area of Lucanus cervus akbesianus Planet, 1896, located within the borders of Hatay province in June-July 2017. The presence of the larvae of Lucanus cervus akbesianus was detected in oak tree trunks, and sound recording was performed. Accordingly, the larvae made approximately 5 clicks in a series and left a 7-8 second gap between two series. It is considered that the audio listening device developed in this study is an effective method for the detection of other saproxylic beetles larvae in decaying wood.
Food Price Policies and the Distribution of the Body Mass Index

This paper uses French food-expenditure data to examine the e¤ect of the local prices of 23 food-product categories on the distribution of Body Mass Index (BMI) in a sample of French adults. It is shown that the identi cation of price e¤ects is in general not granted when individual physical activity is unobserved. However, identi cation is possible, when body weight is stationary, and the prices are orthogonal to both physical activity and the control variables correlated with the latter. Using quantile regressions, unconditional BMI distributions can then be simulated for various price policies. In the preferred scenario, increasing the price of alcohol, soft drinks, breaded proteins, pastries and desserts, snacks, and ready meals by 10%, and reducing the price of fruit and vegetables in brine by 10% would reduce the prevalence of overweight and obesity by 3.8 and 3.9 percentage points
Review on Leukemia Detection and Classification Frameworks

Technology in this era is moving exponentially high. Adoption of technology in almost every aspect of our lives at all times can be found easily. From a decade, we have been studying the various approaches for the automated detection and classification of Acute Lymphoblastic Leukaemia (ALL) using the different technologies. However none of the techniques seems to be perfect by considering the robustness and reliability of prediction. While working with the leukaemia detection and its classification into L1, L2, and L3 classes the key steps under considerations are the accurate segmentation of overlapping blood cells and appropriate features extraction technique. Recently the deep learning methods gains the significant attentions in which the automated features extracted, however such methods most based on automated features extraction and learning which leads the high dimensional features. The high dimensional features extracted from the raw input image not only lead the higher computation complexity but also may degrade the performance in case of large datasets. The recent deep learning based method is introduced just at initial level in which the key steps are missing such as pre-processing and segmentation and evaluated only on small scale dataset. The performance of such methods affected due to lack of appropriate noise reduction and segmentation techniques.
Ecological insights into low-level antibiotics interfered biofilms of Synechococcus elongatus

The interactions between antibiotics and microorganisms have attracted considerable interests. As reported, low-level concentrations of antibiotics have been detected in various environments. Although many studies reported the inducing effects of antibiotics on biofilms, few research discussed their impacts on the ecological functions of microorganisms with biogeochemical importance. In this study, we investigated the effects of low-levels of kanamycin on the biofilm formation of Synechococcus elongatus as a proof of principle study. The results indicated that the biofilms of S. elongatus would be promoted in the presence of kanamycin, and the related photosynthesis-mediated calcification, a fundamental bio-machinery contributing to the local and global carbon cycle, will probably be enhanced as well. We believe this study would offer new information to evaluate the environmental risks of antibiotics and inspire more investigations on the ecological impacts of emerging pollutants.
Determination of Alizarin Red S by Ionic Liquid-Based Extraction and High-Performance Liquid Chromatography

ABSTRACT Alizarin red S was extracted from aqueous media using an ionic liquid-based biphase system, including dipotassium hydrogen phosphate and 1-butyl-3-methyl-imidazolium chloride. The ionic liquid and kosmotropic salt concentrations were characterized for partitioning of the dye. The determination of alizarin red S was performed by high-performance liquid chromatography on a C18 column using 50% methanol and 20 mM phosphate buffer at pH 3 with external standard calibration from 20 to 100 mg/L. Spectrophotometric detection was performed at 255 nm. The limit of detection was 38.5 ng/mL. An extraction efficiency exceeding 95% was obtained. The key parameter to optimize the extraction efficiency and the preconcentration factor was the proportion of ionic liquid to the kosmotropic salt. An inverse relationship between the preconcentration factor and alizarin red S recovery was observed. The extraction efficiency increased with temperature by approximately 5% per 10°C.
Assessment Of Furcation Defects In Diabetic Patients With Chronic Periodontitis - An Institutional Based Retrospective Study

Diabetes Mellitus (DM) is a metabolic disorder characterized by chronic hyperglycemia and disturbances of carbohydrate, fat and protein metabolism. Poorly controlled DM has been associated with increased susceptibility to oral infections including periodontal diseases. It is well documented that one of the main causes of diabetes mellitus is that it leads to periodontal destruction which eventually leads to furcation exposure. This leads to poor prognosis of the affected tooth. Thus the aim of this study is to determine the most common furcation site involved in patients with diabetes. Completed case sheets were collected from June 2019 to April 2020. Data was retrieved and evaluated by 2 reviewers. This university setting study involved 700 sample sizes. Data is tabulated the parameters which are age groups, gender, RBS value and furcation grade. Ranges of RBS values are from 150mg/dl to >551mg/dl. A total of 700 patients case sheets were evaluated and their periodontal status was evaluated. 500 molars were affected (3rd molars exempted). It was found that among all the age groups the most number of participants were seen in 41-60 years (66%). Majority of the affected molars has a grade II furcation involvement (45%). 35.40% had grade I furcation involvement followed by 15.60% of affected teeth with grade III furcation involvement and finally 4% had grade IV furcation involvement. Amongst the teeth with grade I and grade III it was found that 16 was the mostly affected. For grade II furcation involvement it was seen that 46 was mostly affected. Association between grade I, II and III furcation and age groups was statistically insignificant. Finally, 37 was the most affected among the teeth with grade IV furcation involvement. Association between grade IV furcation and age groups was statistically significant (p value=0.006) Thus we can conclude that diabetes mellitus is associated with periodontal disease and in this study it is evident that it involves the furcation area of molars. Diabetic patients are more prone to severe periodontitis with multiple furcation involvement.
AIS Transactions on Human-Computer Interaction AIS Transactions on Human-Computer Interaction

: Scholars have increasingly focused on understanding different aspects of algorithms since they not only affect individual choices and decisions but also influence and shape societal structures. We can broadly categorize scholarly work on algorithms along the dimensions of economic gain that one achieves through automation and the ethical concerns that stem from such automation. However, the literature largely uses the notion of algorithms in a generic way and overlooks different algorithms’ specificity and the type of tasks that they perform. Drawing on a typology of tasks based on task complexity, we suggest that variations in the complexity of tasks contribute to differences in 1) their automation potential and 2) the opacity that results from their automation. We also suggest a framework to assess the likelihood that fairness concerns will emanate from automation of tasks with varying complexity. In this framework, we also recommend affordances for addressing fairness concerns that one may design into systems that automate different types of tasks.
Stability and l1-gain analysis for positive 2-D Markov jump systems

This paper investigates the problems of stability and 1-gain analysis for positive 2-dimensional (2D)Markov jump systems. Themathematical model of 2-DMarkov jump systems is established based on the Roesser model. Necessary and sufficient condition for stability and sufficient condition for 1-gain computation are derived. Furthermore, the stability and 1-gain conditions are extended to Markov jump systemswith partially known transition probabilities. The effectiveness of the obtained theoretical findings is verified through two numerical examples. ARTICLE HISTORY Received 31 May 2018 Accepted 14 July 2019
bmlSUP – A SMPL Unity Player

Realistic virtual characters are important for many applications. The SMPL body model is based on 3D body scans and uses body shape and pose-dependent blendshapes to achieve realistic human animations [3]. Recently, a large database of SMPL animations called AMASS has been released [4]. Here, we present a tool that allows these animations to be viewed and controlled in Unity called the BioMotionLab SMPL Unity Player (bmlSUP). This tool provides an easy interface to load and display AMASS animations in 3D immersive environments and mixed reality. We present the functionality, uses, and possible applications of this new tool.
THE DETERMINANTS OF CSR DISCLOSURE AMONG PUBLIC LISTED COMPANIES IN SELECTED INDUSTRIES IN MALAYSIA

Corporate Social Responsibility (CSR) has become a widespread topic in business literature but for determinants of Corporate Social Responsibility among public listed company in Malaysia is the major challenges faced by the organization to ensure its sustainability. In order to investigate any possible relationship between these two important aspects of performance, this study examined CSR disclosure index in annual reports of 265 of companies listed on the Main Board of Bursa Malaysia, it shows that this study is a secondary data. It uses corporate social responsibility reporting of the company public listed in Bursa Malaysia as CSR disclosure, while woman on board and firm value represents as determinants of CSR disclosure. This study applied spearman correlation in order to find the correlation between each component of CSR disclosure among public listed company in Malaysia. Overall, it showed the result that firm value have a positive significant relationship with the extent CSR disclosure among the public listed company in Malaysia. These provide the evidence that, the good CSR disclosure is come from the company that has good reputation among shareholders and stakeholders.
AutoDBaaS: Autonomous Database as a Service for managing backing services ∗

This work introduces and aim to overcome the potential challenges while deploying automated tuning of relational database as a service for a Platform as a Service (PaaS) provider. Some of the major challenges identified in this work include (i) automated detection of performance throttling (figure out when the performance of the system is affected due to incorrect configurations of knobs) of a database and identify potential points where a database requires a tuning, (ii) scalability and accuracy of tuning service and (iii) applying the recommendations obtained from tuning services wherein applying an obtained recommendation might require a database restart. In this work, we present a generic tuning service architecture for PaaS providers. To deal with the above challenges, we introduce performance throttling engine which is responsible to detect potential points when a relational database actually needs a knob tuning, which helps in increasing the scalability and accuracy of the tuner deployments (responsible for tuning production landscapes). This work also proposes approaches that facilitate efficiently applying the recommendations without causing much disruption in Quality of Service (QoS) of the underlying database system. Lastly, the results are obtained by evaluation of the proposed methods and modules on multiple cloud native provisioners against various set of metrics.
Changes in soil phosphorus pools of grasslands following 17 yrs of balanced application of manure and fertilizer

Limiting the use of phosphorous (P) in intensive agriculture is necessary to decrease losses to surface waters. Balanced fertilizer application (P supply equals P offtake by the crop) is a first step to limit the use of P. However, it is questioned whether this balance approach is sufficient to maintain soil fertility. A long‐term field experiment (17 yr), on grazed grassland, has been conducted on sandy soil, marine clay soil and peat soil to obtain insight into the effects of balanced P fertilizer application on soil test P values and to explain the results by changes in P pools in the soil. The balance approach led to a gradual decline in plant available P, measured as P‐AL, in the topsoil (<0.10 m deep). This decline was accompanied by a decline in oxalate extractable P, dithionite extractable P and inorganic P (0.5 m H2SO4). The decline in these mineral P pools in the topsoil was (partly) compensated by an increase in the amount of organic P. There was evidence for the accumulation of P in an occluded form, especially at one of sites which received P as Gafsa rock phosphate [Ca3(PO4)2].
Ternary CMOS Standard Cell Design

—In this paper a circuit design of ternary based on the multi-valued logic (MVL) is presented. Another alternative way to use ternary rather than binary it because of the complexity, delay and power consumption. Implementation of the MVL in logic design is better in data transfer rate compared to the binary interconnection system. Binary systems in field programmable gate array (FPGA) tend to dominate the delay, power and area. In ternary system, it has 3 different logic values 0, 1 and 2, whereas the binary logic it has 0 and 1. In this project the ternary standard cell circuit is introduced such as Ternary Inverter, Ternary NAND and Ternary NOR. The suggested design is synthesized using Cadence Software and the comparison is done in term of delay, number of interconnection and power.
Near-surface diffractor detection at archaeological sites based on an interferometric workflow

Detecting small-size objects is a primary challenge at archaeological sites due to the high degree of heterogeneity present in the near surface. Although high-resolution reflection seismic imaging often delivers the target resolution of the subsurface in different near-surface settings, the standard processing for obtaining an image of the subsurface is not suitable to map local diffractors. This happens because shallow seismicreflection data are often dominated by strong surface waves that might cover weaker diffractions and because traditional commonmidpoint moveout corrections are only optimal for reflection events. We propose an approach for imaging subsurface objects using masked diffractions. These masked diffractions are first revealed by a combination of seismic interferometry and nonstationary adaptive subtraction, and then further enhanced through crosscoherence-based supervirtual interferometry. A diffraction image is then computed by a spatial summation of the revealed diffractions. We use the phase-weighted stack to enhance the coherent summation of weak diffraction signals. Using synthetic data, we show that our scheme is robust in locating diffractors from data dominated by strong Love waves. We test our method on field data acquired at an archaeological site. The resulting distribution of shallow diffractors agrees with the location of anomalous objects identified in theVS model obtained by elastic SH/Love full-waveform inversion using the same field data. The anomalous objects correspond to the position of a suspected burial, also detected in an independent magnetic survey and corings.