Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning to Augment with Feature Side-information

Neural networks typically need huge amounts of data to train in order to get reasonable generalizable results. A common approach is to artiﬁcially generate samples by using prior knowledge of the data properties or other relevant domain knowledge. However, if the assumptions on the data properties are not accurate or the domain knowledge is irrelevant to the task at hand, one may end up degenerating learning performance by using such augmented data in comparison to simply training on the limited available dataset. We propose a critical data augmentation method using feature side-information, which is obtained from domain knowledge and provides detailed information about features’ intrinsic properties. Most importantly, we introduce an instance wise quality checking procedure on the augmented data. It ﬁlters out irrelevant or harmful augmented data prior to entering the model. We validated this approach on both synthetic and real-world datasets, speciﬁcally in a scenario where the data augmentation is done based on a task independent, unreliable source of information. The experiments show that the introduced critical data augmentation scheme helps avoid performance degeneration resulting from incorporating wrong augmented data.
SENSORY ACCEPTANCE OF CHUNCHEON DAKGALBI PROCESSED BY SOUS VIDE METHOD AND ITS QUALITY CHANGES DURING STORAGE

The aim of this study was to observe the sensory acceptance of Chuncheon dakgalbi (Korean marinated chicken) cooked using sous vide (SV) method at 63 °C for 90 min (SV-90), 180 min (SV-180), and 270 min (SV-270) and their quality changes during chilled storage at 5±1 °C for 7 weeks compared with raw (control). The longer the SV heating time was used, the lower the overall acceptance score and the higher the malondialdehyde content was observed. The volatile basic nitrogen content of control was higher than those of SV groups. Although prolonged cooking time resulted in lower viable cell counts significantly, SV-90 is recommended to both match the sensory preferences and extend the shelf life of ready-toserve Chuncheon dakgalbi.
Roles of miRNAs in spinal cord injury and potential therapeutic interventions

Spinal cord injury (SCI) affects approximately 200,000 individuals per year worldwide. There are more than 27 million people worldwide living with long-term disability due to SCI. Historically, it was thought that the central nervous system (CNS) had little ability for regeneration; however, more recent studies have demonstrated potential for repair within the CNS. Because of this, there exists a renewed interest in the discovery of novel approaches to promote regeneration in the CNS including the spinal cord. It is important to know the roles of the microRNAs (miRNAs) in modulation of pathogenesis in SCI and the potentials of the miRNA-based clinical interventions for controlling post-injury symptoms and improving functional recovery. The miRNAs, which are non-coding RNAs with an average of 22 nucleotides in length, are post-transcriptional gene regulators that cause degradation of the target mRNAs and thus negatively control their translation. This review article focuses on current research related to miRNAs and their roles in modulating SCI symptoms, asserting that miRNAs contribute to critical post-SCI molecular processes including neuroplasticity, functional recovery, astrogliosis, neuropathic pain, inflammation, and apoptosis. In particular, miR-96 provides a promising therapeutic opportunity to improve the outcomes of clinical interventions, including the way SCI injuries are evaluated and treated.
High-Bandwidth Active Impedance Control of the Proprioceptive Actuator Design in Dynamic Compliant Robotics

Dynamic compliant robotics is a fast growing field because of its ability to widen the scope of robotics. The reason for this is that compliant mechanisms may ensure safe/compliant interactions between a robot and an external element—for instance, a human operator. Active impedance control may widen the scope even further in relation to passive elements, but it requires high-bandwidth robust torque and active impedance control which induces high-noise issues even if high-end sensors are used. To address these issues, a complete controller design scheme, including Field-Oriented Control (FOC) of a Brushless Direct Current (BLDC) motor, is proposed. In this paper, controller designs for controlling the virtual impedance, motor torque and field are proposed which enables high-bandwidth robust control. Additionally, a novel speed and angle observer is proposed that aims to reduce noise arising in the angle sensor (typically a 12-bit magnetic encoder) and a Kalman/Luenberger based torque observer is proposed that aims to reduce noise arising in the phase current sensors. Through experimental tests, the combination of the controller designs and observers facilitated a closed-loop torque bandwidth of 2 . 6 k Hz and a noise reduction of 13 . 5 (in relation to no observers), at a sample rate and Pulse Width Modulation (PWM) frequency of 25 k Hz . Additionally, experiments verified a precise and high performing controller scheme both during impacts and at a variety of different virtual compliance characteristics.
University of Southern Denmark Clinical Implications of Complex Pharmacokinetics for Daratumumab Dose Regimen in Patients With Relapsed / Refractory Multiple Myeloma

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Coaxial Co 3 O 4 @ polypyrrole core-shell nanowire arrays for high performance lithium ion batteries

Coaxial Co3O4@polypyrrole (Co3O4@PPy) nanowire arrays have been successfully synthesized via a simple hydrothermal method and further a polymerization process. According to the composition and morphology characterization, it is found that a thin layer of amorphous PPy is uniformly coated on the surface of the Co3O4 nanowire. When directly used as an anode material for lithium-ion batteries, the Co3O4@PPy nanowire arrays electrode exhibits high reversible capacity, good rate capability, and improved cycling stability. A reversible capacity of 700 mAh g 1 is sustained at the current of 3 A g 1 after 500 cycles, showing better cycling stability than the bare Co3O4 nanowire arrays (only 150 mAh g 1 at the current of 3 A g after 100 cycles). Even at a high current of 20 A g , the Co3O4@PPy nanowire arrays can still maintain a capacity of 470 mAh g , which is much higher than that of the bare Co3O4 nanowire arrays (158 mAh g ). The synergetic effect of the arrays structure and the PPy buffer layer contributes to the enhanced electrochemical performance of the Co3O4@PPy nanoarrys. As a result, the introduction of conductive polymer coating layer is an effective strategy to enhance the electrochemical performance of nanoarrays structure for advanced energy storage. ã 2016 Elsevier Ltd. All rights reserved.
ER Stress Activates the NLRP3 Inflammasome: A Novel Mechanism of Atherosclerosis

The endoplasmic reticulum (ER) is an important organelle that regulates several fundamental cellular processes, and ER dysfunction has implications for many intracellular events. The nucleotide-binding oligomerization domain-like receptor family, pyrin domain-containing 3 (NLRP3) inflammasome is an intracellularly produced macromolecular complex that can trigger pyroptosis and inflammation, and its activation is induced by a variety of signals. ER stress has been found to affect NLRP3 inflammasome activation through multiple effects including the unfolded protein response (UPR), calcium or lipid metabolism, and reactive oxygen species (ROS) generation. Intriguingly, the role of ER stress in inflammasome activation has not attracted a great deal of attention. In addition, increasing evidence highlights that both ER stress and NLRP3 inflammasome activation contribute to atherosclerosis (AS). AS is a common cardiovascular disease with complex pathogenesis, and the precise mechanisms behind its pathogenesis remain to be determined. Both ER stress and the NLRP3 inflammasome have emerged as critical individual contributors of AS, and owing to the multiple associations between these two events, we speculate that they contribute to the mechanisms of pathogenesis in AS. In this review, we aim to summarize the molecular mechanisms of ER stress, NLRP3 inflammasome activation, and the cross talk between these two pathways in AS in the hopes of providing new pharmacological targets for AS treatment.
siRNA-DIRECTED INHIBITION OF HIV-1 INFECTION

Novina CD, Murray MF, Dykxhoorn DM, et al. Nature Med. 2002;8:681–686 In mammalian cells, DNA is transcribed into RNA. “RNA interference” is a mechanism of posttranscriptional gene silencing. Short interfering 21-23-mer double-stranded RNA segments guide messenger RNA (mRNA) degradation in a sequence-specific fashion. The purpose of this study was to investigate the feasibility of using siRNA to suppress the expression of human immunodeficiency …
Pornographic Images Filtering Using PMK-based MIL Algorithm

Focusing on the problem of pornographic images filtering on the Internet, a novel multi-instance learning (MIL) algorithm based on pyramid match kernel (PMK) is proposed in this paper. Firstly, improved JSEG image segmentation method is used to divide each image into several different regions, and extract the lowlevel visual features (i.e. color and texture) of each region, then image regards as bag, and the low-level visual features of its segmented regions as instances. As a result, the pornographic images filtering problem be transformed into a MIL problem. Secondly, PMK is used to measure the similarity between the multi-instance bags, so the MIL problem can be solved directly by the support vector machine (SVM). Finally, in a real condition image set that the radio of normal image to pornographic image is 4:1, experimental results show that the proposed algorithm, named PMK-MIL, can achieve the recall rate 91.2%, the error rate 9.6%, and its performance is superior to other algorithms.
A new auroral structure on Jupiter: Jupiter's auroral bridge

The intense auroral emissions of Jupiter are well studied. However, there is still a lot of information to discover. In this study, a structure of the northern hemisphere has been analysed. It has been named Jupiter’s auroral bridge since it connects the duskside main emission and the polar region. This structure is not always visible. Three cases with different characteristics were therefore selected in order to analyse the behaviour of this feature. This study is based on the ultraviolet images obtained by the Space Telescope Imaging Spectrograph (STIS) on board the Hubble Space Telescope (HST). The analysis required mapping the locations where this structure appears in the ionosphere towards the equatorial plane in the magnetosphere. To do so, two different methods of mapping were considered. This data could help to infer the origin of this auroral emission. Moreover, in order to estimate its contribution to the total emitted power, the power radiated by the auroral bridge was also analysed. During this study, it was observed that this structure moves equatorward with time and that it pulsates. The periodicity was consequently estimated. This study offers some preliminary results which will be used to characterise Jupiter’s auroral bridge; a structure which has been little studied so far.
DNA Fingerprinting of Resistant Mycobacterium tuberculosis Isolates in Iran by IS6110-RFLP Method

The objective of the research was to identify resistant Mycobacterium tuberculosis strains and recognize their molecular epidemiology and how they are disseminated in order to determine the cause and the effect of drug resistance and the process of its development. Materials and methods. Genomic deoxyribonucleic acid obtained from 37 drug-resistant Mycobacterium tuberculosis isolates were examined and fingerprinted by the IS6110- restriction fragment length polymorphism method. The data obtained were then analyzed using SPSS statistics software. Results. The mean patients’ age was 51 ± 15.5 years. There were 46% of male patients, 67.6% of the patients from urban areas, 86.5% of Iranians, 21.6% of relapsed cases, 8.1% of human immunodeficiency virus-positive patients, and 10.8% of the patients with a history of contact with tuberculosis patient. Based on IS6110 - restriction fragment length polymorphism, 30 different genetic types were observed which indicated a significant variation of this pathogen in Markazi province, Iran. The number of cluster genotypes was determined by 6 clusters; the number of unique types was 24. There were no relationships between age, gender, nationality, residence, close contact with tuberculosis patients, recurrence of tuberculosis, positive human immunodeficiency virus status and clustered or non-clustered strain genotype. Conclusions. Considering the high genetic diversity in Mycobacterium tuberculosis strains, it can be concluded that, based on IS6110 - restriction fragment length polymorphism, about 65% of cases occurred due to reactivation, and 35% of the cases were due to recent transmission. The information obtained through the molecular typing method can be very effective in future planning for tuberculosis control in Iran.
ect of Doping Temperatures and Nitrogen Precursors on the Physicochemical , Optical , and Electrical Conductivity Properties of Nitrogen-Doped Reduced Graphene Oxide

The greatest challenge in graphene-based material synthesis is achieving large surface area of high conductivity. Thus, tuning physico-electrochemical properties of these materials is of paramount importance. An even greater problem is to obtain a desired dopant configuration which allows control over device sensitivity and enhanced reproducibility. In this work, substitutional doping of graphene oxide (GO) with nitrogen atoms to induce lattice–structural modification of GO resulted in nitrogen-doped reduced graphene oxide (N-rGO). The effect of doping temperatures and various nitrogen precursors on the physicochemical, optical, and conductivity properties of N-rGO is hereby reported. This was achieved by thermal treating GO with different nitrogen precursors at various doping temperatures. The lowest doping temperature (600 ◦C) resulted in less thermally stable N-rGO, yet with higher porosity, while the highest doping temperature (800 ◦C) produced the opposite results. The choice of nitrogen precursors had a significant impact on the atomic percentage of nitrogen in N-rGO. Nitrogen-rich precursor, 4-nitro-o-phenylenediamine, provided N-rGO with favorable physicochemical properties (larger surface area of 154.02 m2 g−1) with an enhanced electrical conductivity (0.133 S cm−1) property, making it more useful in energy storage devices. Thus, by adjusting the doping temperatures and nitrogen precursors, one can tailor various properties of N-rGO.
PR ] 1 3 O ct 2 01 9 High mode transport noise improves vorticity blow-up control in 3 D Navier-Stokes equations

The paper is devoted to the open problem of regularization by noise of 3D Navier-Stokes equations. Opposite to several attempts made with additive noise which remained inconclusive, we show here that a suitable multiplicative noise of transport type has a regularizing effect. It is proven that, given a time interval [0, T ], stochastic transport noise provides a bound on vorticity on such interval which gives well posedness, with high probability. The result holds for sufficiently large noise intensity and sufficiently high spectrum of the noise.
Authentication , Authorisation & Accountability ( AAA )

Access control builds on authorisation and authentication. This KA will present the general foundations of access control and some significant instantiations that have emerged as IT kept spreading into new application areas. It will survey modes of user authentication and the way they are currently deployed, authentication protocols for the web, noting how new use cases have led to a shift from authentication to authorisation protocols, and the formalisation of authentication properties as used in today’s protocol analysis tools. On accountability, the focus is on the management and protection of audit logs. The surveillance of logs to detect attacks or inappropriate behaviour is described in the Security Operations & Incident Management KA while the examination of evidence following a breach of policy or attack is covered in the Forensics KA. Throughout the KA, we will flag technical terms that appear in more than one meaning in the academic and the trade literature.
PTK 2 B / Pyk 2 overexpression improves a mouse model of Alzheimer ' s disease

Please cite this article as: Albert Giralt, Benoît de Pins, Carmen Cifuentes-Díaz, Laura López-Molina, Amel Thamila Farah, Marion Tible, Vincent Deramecourt, Stefan Arold, Silvia Ginés, Jacques Hugon, Jean-Antoine Girault , PTK2B/Pyk2 overexpression improves a mouse model of Alzheimer's disease. The address for the corresponding author was captured as affiliation for all authors. Please check if appropriate. Yexnr(2017), doi:10.1016/j.expneurol. 2018.05. 020
Investigating a relation between knowledge management and organizational performance of staff personal of Qazvin province's Sepah Bank

This research is aimed to investigate a relation between the knowledge management and organizational performance of the staff personal of the Qazvin province's Sepah Bank. Methodology: The research type is an applied goal one, because its main goal is promotion at an applied knowledge in organization field, also it is a descriptive research and would be named as correlation due to the method a descriptive research and would be named as correlation due to the method of the research, since we want know is there a relation between variables on is so, that is how much and which direction? First, a series of the sub structural elements in the management knowledge, culture, technology and organizational structure have been identified, than the variables of the organizational performance were assigned as well.
What Don’t RNN Language Models Learn About Filler-Gap Dependencies?

In a series of experiments Wilcox et al. (2018, 2019b) provide evidence suggesting that general-purpose state-of-the-art LSTM RNN language models have not only learned English filler-gap dependencies, but also some of their associated ‘island’ constraints (Ross, 1967)). In the present paper, I cast doubt on such claims, and argue that upon closer inspection filler-gap dependencies are learned only very imperfectly, including their associated island constraints. I conjecture that the LSTM RNN models in question have more likely learned some surface statistical regularities in the dataset rather than higher-level abstract generalizations about the linguistic mechanisms underlying filler-gap constructions.
Optimal paid job-protected leave policy

Although many countries give workers the right to return to their previous workplace after a temporary leave period ends, little is known about the details of such policies. This study characterizes the optimal paid job-protected leave policy using a model in which a worker has to leave his or her job with a certain probability and chooses whether to return to work after the leave period ends. An optimal policy, consisting of the consumption of a worker, that of a worker on leave, and the length of the leave, maximizes social welfare subject to the resource feasibility constraint and incentive constraint under which a worker on leave voluntarily chooses to return to work after the leave period ends. The present study finds that when the incentive constraint does not bind, the income risk caused by the leave should be perfectly shared among workers and workers on leave and that the leave period balances the marginal welfare gain and loss from a slight increase in the leave period. When the incentive constraint binds, the income risk caused by the leave is not perfectly shared among workers and workers on leave and that workers consume more than workers on leave because the constrained-optimal allocation has to give an incentive to workers on leave to return to work. By lengthening the leave period, another feasible allocation improves social welfare, which implies that the length of the leave period at the constrained-optimal allocation is too short. In addition, the study compares two economies, one that experiences a high discount factor and the other that experiences a low discount factor. In the former economy, the incentive constraint does not bind, whereas it does bind in the latter economy. Comparing the constrained-optimal allocations in these two economies, I find that workers consume more in the latter economy than in the former economy and that {¥it total} consumption during the leave period in the former economy is larger than that in the latter economy. Moreover, as an application of the theory, the study focuses on the paid parental leave policies adopted by most OECD countries. Using a numerical simulation, I conclude that the negative relationship between the replacement rate, namely the ratio of cash benefits during the leave to wages while working, and length of the leave period could result from constrained-optimal allocations.
The Public Health Concerns of Marijuana Legalization: An Overview of Current Trends

The objective of this study was to conduct a review of the benefits and adverse effects of cannabis (or marijuana) legalization in various states across the US. The current study offers a preliminary evaluation of the problems concerning marijuana legalization in several states, with the primary goal being the assessment of the impact of laws and policies governing the legalization and use of marijuana for medical purposes. A comprehensive search on cannabis and its derivatives was performed using multiple resource databases: PubMed, MEDLINE, Embase, PsycINFO, CENTRAL (Cochrane Controlled Register of Trials), government web sources, and the Department of Public Health databases. A total of 47 reports that evaluated the effects of cannabis legalization were included in this review. All review stages were conducted independently by two reviewers. Data were extracted in standardized tables by one reviewer and adjusted by a second, which were verified by the third author. We examined the use of cannabis before and after the changes in policy and the impact of marijuana legalization on traffic safety, behavior and educational achievement in adolescents, public health, tax revenues, criminal justice expenditures, and financial outcomes. We analyzed the effects and consequences of marijuana use in states that have or have not legalized marijuana. This report also includes the responsiveness of the people in states where marijuana is legalized and its value in the healthcare system. Our study highlights the existing limitations of reviews that probe the effect of decriminalizing marijuana in some states of the country. Our analysis shows that detailed and precise evaluation of policy dynamics must be conducted, taking into account the heterogeneity in population sub-groups and policies. Accordingly, in states where marijuana is used for its medicinal value and recreational purposes, people have different views on the legalization of marijuana. The complete effect of legalizing and commercializing marijuana on consumers' mental health and their educational outcomes is expected to take a longer duration prior to its achievement; unfortunately, fewer merits are anticipated. Most of the reports evaluated in this article proved to be marred with inconsistencies. Many of the stated claims did not pass a methodical evaluation. Going forward, additional data from available sources will lead to stronger conclusions. We weighed the pros and cons of marijuana legalization. However, we are certain that consumers can make better decisions by weighing each opinion by its reliability and safety.