Miracle-dz/UniFAR-FTUs huggingface dataset:
INFLUENCE OF CHEMICAL COMPOSITION OF TOOL STEEL ON PERMANENT PLASTICITY DURING HEAT TREATMENT TRANSFORMATIONS

The work presents the research of permanent strain occurred when metallurgical transformations take place even under small stress applied externally lower than the yield stress of weaker phase. Four tool steel grades were tested: THG2000 (Uddeholm, Sweden), 20X13, 40X13 and 95X18 (GOST). All steel grades differ in carbon content and amount of alloying elements and behave differently when transformation plasticity occurs. This phenomenon was observed during bending test when bending stress was 100MPa and was less than 10 % of yield strength of the steel. The steel specimens were heated to 950-1050 °C temperature and then bent during air quenching. Plastic deflections were observed though all cooling process that involved martensitic transformation as well. Different effect of compression and tensile stresses on microstructure evolution during martensitic transformation was determined as both type of stresses formed in bent specimens.
Fast Batched Matrix Multiplication for Small Sizes Using Half-Precision Arithmetic on GPUs

Matrix multiplication (GEMM) is the most important operation in dense linear algebra. Because it is a compute-bound operation that is rich in data reuse, many applications from different scientific domains cast their most performance-critical stages to use GEMM. With the rise of batch linear algebra, batched GEMM operations have become increasingly popular in domains other than dense linear solvers, such as tensor contractions, sparse direct solvers, and machine learning. In particular for the latter, batched GEMM in reduced precision (i.e., FP16) has been the core operation of many deep learning frameworks. This paper introduces an optimized batched GEMM for FP16 arithmetic (HGEMM) using graphics processing units (GPUs). We provide a detailed design strategy that takes advantage of the Tensor Core technology that was recently introduced in CUDA-enabled GPUs. The developed solution uses low-level APIs provided by the vendor in an optimized design that overcomes the limitations imposed by the hardware (in the form of discrete configurations). The outcome is a highly flexible GPU kernel that provides a lot of controls to the developer, despite the aforementioned restrictions. The paper also pays particular attention to multiplications of very small matrices that cannot fully occupy the Tensor Core units. Our results show that the proposed design can outperform the highly optimized vendor routine for sizes up to 100 by factors between 1.2x and 10x using a Tesla V100 GPU. For extremely small matrices, the observed speedups range between 1.8x and 26x.
ETSC position on Longer and Heavier Goods Vehicles on the roads of the European Union

Longer and heavier vehicles were already permitted in Finland and Sweden since before these Nordic countries joined the European Union in 1995. Directive 96/53/EC allows Member States to use such vehicles at national level under the concept of the European Modular System (EMS). However, LHVs are not allowed to cross borders. Some Member States, including the Netherlands, Denmark and Germany have carried out trials, some of them for several years, allowing such vehicles to run on the national road network. In these cases, a special temporary permission is given, in line with the EU legislation allowing for exemptions, and the vehicles can be operated under prescribed conditions on certain parts of the national road network.
RGB TVL 1 Flow RGB + TVL 1 FlowMARS MARS + RGB MERS MERS + RGB Accuracy vs Time on MiniKinetics

Most state-of-the-art methods for action recognition consist of a two-stream architecture with 3D convolutions: an appearance stream for RGB frames and a motion stream for optical flow frames. Although combining flow with RGB improves the performance, the cost of computing accurate optical flow is high, and increases action recognition latency. This limits the usage of two-stream approaches in real-world applications requiring low latency. In this paper, we introduce two learning approaches to train a standard 3D CNN, operating on RGB frames, that mimics the motion stream, and as a result avoids flow computation at test time. First, by minimizing a feature-based loss compared to the Flow stream, we show that the network reproduces the motion stream with high fidelity. Second, to leverage both appearance and motion information effectively, we train with a linear combination of the feature-based loss and the standard cross-entropy loss for action recognition. We denote the stream trained using this combined loss as MotionAugmented RGB Stream (MARS). As a single stream, MARS performs better than RGB or Flow alone, for instance with 72.7% accuracy on Kinetics compared to 72.0% and 65.6% with RGB and Flow streams respectively.
IN-VITRO LIPOXYGENASE INHIBITORY ACTIVITY AND TOTAL FLAVONOID OF STRYCHNOS SPINOSA LEAF EXTRACTS AND FRACTIONS

Strychnos spinosa Lam. is a deciduous tree used in traditional medicine to treat inflammation and infectious diseases. This study was undertaken with the objectives of establishing the inhibitory effect of extracts and fractions of Strychnos spinosa leaves on the mediator of inflammation lipoxygenase (LOX), and to evaluate the total flavonoid content of the of crude extracts and fractions of Strychnos spinosa leaves. The water fraction, chloroform fraction and the n-butanol fraction were the most active with median inhibitory concentration (IC50) values of 70.75 ± 0.03, 85.27 ± 0.06 and 127.85 ± 0.06 μg/mL, respectively. The methanol, acetone, dichloromethane/methanol and the alkaloid extracts had IC50 values of 143.21 ± 0.00, 149.14 ± 0.05, 154.66 ± 0.01 and 164.03 ± 0.00 μg/mL, respectively. The least active is the hexane and ethyl acetate fractions with IC50 values of 204.02 ± 0.01 and 231.49 ± 0.00 μg/mL, respectively. Apart from the water and chloroform fractions, the anti-inflammatory activity of all the extracts and fractions were lower than the positive controls. The nButF contains the highest level of flavonoid (128.87 ± 2.96 mg QE/g plant material), while the least amount is found in the WatF (0.20 ± 0.00 mg QE/g plant material). In the acute toxicity studies, the median lethal dose (LD50) in all the crude extracts were found to be above 5000mg/kg The results obtained support the use of S. spinosa leaves in traditional medicine for the treatment of inflammatory related conditions.
Molecular mechanisms of resistance to Myzus persicae conferred by the peach Rm2 gene: A multi-omics view

The transcriptomic and metabolomic responses of peach to Myzus persicae infestation were studied in Rubira, an accession carrying the major resistance gene Rm2 causing antixenosis, and GF305, a susceptible accession. Transcriptome and metabolome showed both a massive reconfiguration in Rubira 48 hours after infestation while GF305 displayed very limited changes. The Rubira immune system was massively stimulated, with simultaneous activation of genes encoding cell surface receptors involved in pattern-triggered immunity and cytoplasmic NLRs (nucleotide-binding domain, leucine-rich repeat containing proteins) involved in effector-triggered immunity. Hypersensitive reaction featured by necrotic lesions surrounding stylet punctures was supported by the induction of cell death stimulating NLRs/helpers couples, as well as the activation of H2O2-generating metabolic pathways: photorespiratory glyoxylate synthesis and activation of the futile P5C/proline cycle. The triggering of systemic acquired resistance was suggested by the activation of pipecolate pathway and accumulation of this defense hormone together with salicylate. Important reduction in carbon, nitrogen and sulphur metabolic pools and the repression of many genes related to cell division and growth, consistent with reduced apices elongation, suggested a decline in the nutritional value of apices. Finally, the accumulation of caffeic acid conjugates pointed toward their contribution as deterrent and/or toxic compounds in the mechanisms of resistance.
Study on the KernelBased Methods and Its Model Selection

Kernelbased methods have become another very popular and important techniques after artificial neural networks in the field of machine learning.The principles characteristics and implementation of kernelbased methods are introduced and several important kernelbased methods are briefly described.Hot issues such as model selection,construction of kernels are discussed in detail and future research is proposed.
Study of packet dropping policies on la y eredvideo

Packet-dropping policies are widely used in router queues in order to prioritize some packets with respect to others. Since in layered video packets are labeled with di erent layers according to their level of importance, the use of packet-dropping policies giving higher priority to packets belonging to the most important layers seems to be a good approach to maintain video quality when congestion occurs. In this paper, we investigate the impact of using di erent packet-dropping policies for layered video. F or this purpose, we have implemented such packet-dropping policies in a Linux testbed, and w ehave used our own layering video codec. With respect to qualit y,the results obtained sho w a strong dependency on the speci c packet-dropping policy used and the type of video source; in some cases, the qualit y obtained with the packet-dropping policies is even poorer than if plain FIFO queuing with random packet dropping is used. We conclude that, even though the concept of using packet-dropping policies for layered video can provide signi cant adv an tages, the c hoice of the packet-dropping policy and the video codec to use needs to be done carefully in order to achiev e the desired results.
ON THE DUALITY OF CULTURE

Much of the Western tradition can be understood in tenns of increasing self-consciousness about the difference between culture and nature. The problems that anthropology has recently discovered about culture parallel what Buddhism claims about the problem of the individual self. We alternate between the promise of technological progress (freedom through self-grounding) and yearning for a return to nature (security through regrounding). Since both are impossible for us, the conclusion considers whether there is any third
A Collaborative Filtering Recommendation Algorithm Based on Item Rating Prediction

Recommendation system is one of the most important technologies in E-commerce. With the development of E-commerce, the magnitudes of users and commodities grow rapidly, resulted in the extreme sparsity of user rating data. Traditional similarity measure methods work poor in this situation, make the quality of recommendation system decreased dramatically. To address this issue a novel collaborative filtering algorithm based on item rating prediction is proposed. This method predicts item ratings that users have not rated by the similarity of items, then uses a new similarity measure to find the target users? neighbors. The experimental results show that this method can efficiently improve the extreme sparsity of user rating data, and provid better recommendation results than traditional collaborative filtering algorithms.
IMPROVING THE HEAT TRANSFER CHARACTERISTICS OF THE SPIKY CENTRAL RECEIVER AIR PREHEATER ( SCRAP ) USING HELICALLY SWIRLED FINS

A combined cycle concentrating a solar power (CSP) system, such as the Stellenbosch University Solar Power Thermodynamic (SUNSPOT) cycle requires a novel receiver technology capable of heating pressurized air. The Spiky Central Receiver Air Pre-heater (SCRAP) receiver technology was conceived with the aim of providing a robust, metallic receiver technology, capable of heating air at high efficiency to elevated temperatures. The SCRAP receiver uses an internal extended surface in the absorber assemblies (spikes) to increase the heat transfer performance. In the current configuration, straight trapezoidal fins form rectangular passages through which the air stream passes and heated to approximately 800 °C. The use of helically swirled fins within the SCRAP model is intended to improve the heat transfer characteristics by increasing the effective surface, by increasing the heat transfer coefficient and by introducing a balancing effect around the circumference of a spike, as it may not experience homogenous irradiation.
IL-35 induces immune tolerance in renal transplantation rats by modulating CD 4 + CD 25 + regulatory T-cells

Objective: The aim of the current study was to unravel the underlying mechanisms of interleukin-35 (IL-35) in inducing immune tolerance in renal transplantation rats by modulating CD4+CD25+ regulatory T-cells. Methods: From a total of 60 Sprague-Dawley (SD) rats, 40 were selected, randomly, for preparation of allograft renal transplantation. They were divided into two groups, the donor group and recipient group. The remaining rats were assigned to the control group. Test group rats were further assigned to test groups A and B, while the control group rats were assigned to control groups A and B. Intravenous infusion of IL-35 was used as the intervention for rats in group A. Rats in group B received intravenous infusion of normal saline. Eight days later, the rats were sacrificed and peripheral blood samples were collected for measurement of serum levels of creatinine (Cr) and blood urea nitrogen (BUN). Serum levels of IL-10, IL-17, and IL-23 were detected using enzyme-linked immunosorbent assays. Percentages of CD4+CD35+ regulatory T-cells were measured using flow cytometry. Moreover, mRNA expression of Foxp3 in renal tissues was determined by polymerase chain reaction. Results: In the experimental group and control group A, significant (P<0.05) decreases were observed in levels of Cr, BUN, IL-10, IL-17, and IL-23, compared with levels in the experimental group and control group B, respectively. Of the four groups, the highest levels of Cr, BUN, IL-10, IL-17, and IL-23 were found in rats of test group B. The lowest levels were found in control group A. There were no significant (P>0.05) differences between the two control groups concerning ratios of CD4+CD25+ regulatory T-cells. However, the ratio in test group A was significantly (P<0.05) higher than that in test group B. Furthermore, expression levels of Foxp3 in test group A and control group A were significantly (P<0.05) higher than expression levels in test group B and control group B, respectively. Foxp3 expression in test group B was significantly (P<0.05) higher than that in control group A. The highest expression of Foxp3 was recorded in test group A, while the lowest expression was recorded in control group B. Conclusion: IL-35 can affect renal function in renal transplantation rats, as well as expression of IL-6, IL-17, and IL-23. Underlying mechanisms involve IL-35 regulating CD4+CD25+ regulatory T-cells to induce immune tolerance by targeting Foxp3 in renal transplantation rats.
ROTA: Round Trip Times of Arrival for Localization with Unsynchronized Receivers

Multilateration systems reconstruct the location of a target that transmits electromagnetic or acoustic messages. The required measurement for localization is the time of arrival (TOA) of the transmitted signal, measured by a number of spatially distributed receivers. We present a novel multilateration algorithm that does not require a precise clock synchronization between the receivers. Furthermore, our method does not need any prior information about the transmitted signal. It just must be provided that accurate and identifiable TOA measurements can be derived. For example, the target could emit aperiodic pulses. Our method works with TOA differences between successive messages locally on each receiver. Therefore, our measurement equations do not depend on the receivers' clock offsets, and clock synchronization only needs to be accurate enough to identify each transmitted signal on all receivers. We derive a number of concrete maximum likelihood estimators for a single non-maneuvering target based on this method. In addition, we consider the clock drifts of the receivers.
What Is Good About Blood?

Blood is the liquid that looks red when you cut or scrape your skin. People think blood is bad because they see it when they hurt themselves, when people are sick at hospital, and in scary movies. But blood is needed to keep our bodies alive and well. So, what happens when you bleed? And what happens if blood flow is blocked? In this short article, we will explain how and why blood is good. We will also tell you how doctors and scientists can help with problems of the blood.
The Regional Initiative for Sustainable Woody Biomass Energy Business-A Case Study on Maniwa area , Japan -

The share of renewable energy has been increasing worldwide. In recent years, the number of the regions which start the projects to promote utilizing renewable energy has been increasing. Maniwa area, Okayama, Japan is one of those regions and their project for utilizing woody biomass energy started in 1993. In this paper, some implications for sustainable regional businesses for utilizing woody biomass energy are clarified. Community surrounding the project plays an important role called “civic entrepreneu rs” (Henton et.al 1997). It develops regional network through government-university-community partnership where many productive linkage produced in the area. Key success factors of the civic entrepreneurs and its growing network should be considered. Conducting this research, online and literature surveys were applied for data collecting. The interviews and field investigation were distributed among the companies and institutions inside and outside of Maniwa area. The result pointed out the importance of in termediary in regional network. The “regional” renewable energy business such as woody biomass energy business is sustainable in an area where people who can establish a business model that includes dissemination of a routine knowledge collection and learning and other economics, not “scale” or “scope”, take the initiative.
A promising way to enhance in vitro expansion of adipose-derived stem cells

Adipose-derived stem cells (ASCs) are one of the most promising therapeutic cells for cell-based regenerative medicine. The applications include bone regeneration, cartilage repair, nerve regeneration, muscle and cardiac muscle repair, and liver regeneration. However, in vitro expansion is a crucial step before application. One of the most significant drawbacks of ASCs and all other mesenchymal stem cells is cellular aging during in vitro expansion. However, the extracellular matrix (ECM), which has a profound effect on cell function, offers a potential method to solve this problem. In this study, both ASCs and dermal fibroblasts (DFBs) were used to coat culture flasks with decellularized ECM (dECM). Then, ASCs were expanded on ASCs-derived dECM (AECM), DFBs-derived dECM (DECM), and conventional plastic flasks (PLs) for further proliferation and differentiation assays. Both the AECM and DECM could significantly facilitate proliferation of ASCs. ASCs expanded on AECM exhibited higher differentiation potential for osteogenesis, adipogenesis, and chondrogenesis than those expanded on DECM and PLs. The results demonstrate that AECM can successfully enhance the self-renewal and differentiation potential of ASCs, which could be a promising method for in vitro cell expansion in ASCs-based regenerative medicine.
Characterization of Soft Error Rate Against Memory Elements Spacing and Clock Skew in a Logic with Triple Modular Redundancy in a 65nm Process

Single Event Effects introduce soft errors in ASICs. Design methodologies like Triple Modular Redundancy (TMR) with clock skew insertion, a system level redundancy technique is a common practice by designers to mitigate soft errors. However, the optimal spacing between memory elements in a TMR in 65nm process hasn't been addressed so far. RD53SEU is a mini ASIC development under the framework of the CERN RD53 collaboration to characterize the soft error rates against the separation spacing and clock skew between memory elements in a TMR. This article describes the architecture and design aspects of the various test structures on the RD53SEU test chip.
A Survey on Visual Privacy in Ubiquitous Computing

Recent advances in camera technology have contributed to extensive use of cameras everywhere. Together with the developments in camera-related applications and online social networking/media sites, our daily life have been dramatically changed. While people are experiencing the benefits of pervasive cameras, concerns on visual privacy invasion are inevitably raised. The potential to aggregate massive visual data from multiple sources, and the possibility of inferring private information using recognition techniques, result in negative reception to the increased amount of cameras from the public. As a result, a number of technical solutions have been proposed to protect visual privacy. In this survey, we introduce concepts about visual privacy and formalize three violations of visual privacy. Then we summarize findings from attitudes studies and investigate reasons behind growing visual privacy concerns in ubiquitous computing environment. Based on a general workflow and four key challenges we have identified, we classify latest visual privacy protection systems/frameworks according to the scenario they apply to. Next, we introduce and compare privacy requirement expression, association, and protection methods, which leverage computer vision techniques, communication technologies, and cryptography algorithms. Finally, we discuss challenges and opportunities of visual privacy that guide future research directions.
OF ECONOMICS AND BUSINESS ADMINISTRATION TIMISOARA lucianciprian

The new rising “ME” generation in the labor force became one of the most challenging need of change for the actual leaders. A self-branding man child is arising in the work market area and occupies the new entry positions in any organization. The actual leaders faces with self -centered people who are rejecting the system opting for parental continuous help. Ready or not, the nowadays leader must face and adopt his leadership style to a new free generation who would rather climb the highest mountains then the organizational or corporative leader, but asking for their parents money. In less than five years 50% of the work force will be represented by Millennials, a self-focused generation with different views than we are used to have and the question is how to deal with them to achieve the corporate goals and at the same time to grow them, in order to create a new generation of leaders, by using their positive attitude and their new, different vision of life. The purpose of this paper is to highlight the nowadays leaders need for adaptive change in order to develop other leaders and to deliver the requested expectations, by using the new Facebook generation vision of life and work. At the same time It will highlight how this model can be translated into the daily activity so that Millennials be perceived as precious source for the future leadership way.