Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of Double Compression for HEVC Videos With Fake Bitrate

Bitrate is an important criterion for digital video quality. Forgers prefer to up-convert bitrate of videos without improving the video quality at all, especially for videos over the Internet. Therefore, proposing an effective algorithm to expose fake bitrate videos becomes an important issue in digital video forensics. In this paper, a novel method based on prediction unit (PU) partition types is proposed to detect high efficient video coding (HEVC) videos with fake bitrate. PU partition type is one unique syntactic unit of HEVC and could be reflected by compression history, while it has not been addressed in the topic of fake bitrate detection. The proposed method adopts support vector machine classifiers with feature vectors formed by histograms of PU partition types in the first P-frame in each group of pictures (GOPs). The performance of the algorithm is compared with state-of-the-art algorithms on videos of various resolutions and bitrates. The experimental results show that the proposed method can identify the fake bitrate videos with high accuracy, and is robust to frame-deletion, copy-paste, and shifted GOP structure attacks.
Gradual Semantics Accounting for Similarity between Arguments

Argumentation is a reasoning model based on the justification of claims by arguments. Often, arguments to be considered are not completely independent, two arguments can be related for different reasons, they may overlap, or given by two persons that make similar statements during a debate, but express them differently, etc. This paper studies for the first time the impact of similarity (i.e., when pairs of arguments are related) in the context of gradual evaluation in abstract ar-gumentation. We present principles that a semantics accounting for similarities should satisfy, and show how to extend gradual semantics for this purpose. We propose three original methods to do so, and study their properties. In particular, the new semantics are evaluated with respect to the new principles , and others from the literature.
Protein kinase CK2α subunits constitutively activate ABA signaling in Arabidopsis

ABSTRACT Protein kinase CK2 (formerly known as casein kinase II), a Ser/Thr protein kinase highly conserved in eukaryotes, is essential for cell survival by regulating a wide range of plant growth, development, and stress responses. A growing body of evidence has shown a link between CK2 and abscisic acid (ABA) signaling in response to abiotic stress. However, the roles of CK2 subunits in ABA signaling remain unclear in plants. Our recent work in Arabidopsis thaliana has revealed that CK2α and CK2β subunits inversely modulate ABA signal output. Here, we examine the roles of CK2αs, by assessing how CK2αs affect ABA signaling. Together with the previous findings, our mutant and transient expression analyses demonstrate that CK2αs positively modulate ABA signaling through the core ABA signaling pathway in the presence of ABA, though the positive effect of CK2αs are much smaller than that of core ABA signaling components in ABA response. In addtion, our current and previous findings also suggest that CK2αs play a role in maintaining constitutively active ABA signaling even in the absence of ABA independently of the core ABA signaling pathway. Thus, we found that CK2αs constitutively activate ABA signaling in the presence or absence of ABA in a different manner in Arabidopsis plants.
Suicide Statistics in Iran: Let’s Get Specific

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). Mental Health and Wellbeing Letter to the Editor
Optimal Design of Quadrature-Shaped Pickup for Omnidirectional Wireless Power Transfer

This paper proposes an optimal design of quadrature-shaped pickup to satisfy various demands on performance at special positions for omnidirectional wireless power transfer (WPT). Omnidirectional WPT technology as a brand new way of energy supply has shown great potentials for charging objectives at all directions. In order to ensure the energy can be transmitted to arbitrary spatial directions, the orthogonal structure of three circular transmitting coils has been widely accepted matched with non-identical current control scheme. However, there are still some special positions where the transmitted power drops to the bottom which is not suitable for applications. Accordingly, this paper proposes an optimal design analysis for the quadrature-shaped pickup to satisfy different demands on either power or efficiency at such positions. The simulated analysis and experimental results are both given to verify the enhancement of the proposed quadrature-shaped pickup, which aims to provide a reference to fabricate an appropriate pickup up for utilizations.
Impact of Persistent Bubbles on Underwater Acoustic Communication

Although it is well known that bubbles have a strong influence on underwater acoustic propagation, typical acoustic communication channel models ignore the effect of bubbles. The rationale is that bubbles are only persistently present in the upper water column in special environments such as the surf zone. In other environments, one expects that the bubbles injected by episodic events such as passing ships quickly rise to the surface or dissolve and do not have a long term effect on the communication channel. We believe that bubbles have a large influence on acoustic communications in many environments with seemingly low bubble injection rates, as bubbles affecting typical communication frequency bands can persist in the water for long periods of time. Such environments include waters near shipping lanes, coral reefs, or places with strong winds. In this paper, we present a model for the persistence of bubbles, and validate it with controlled measurements in a wind-wave channel. We show that bubbles affecting medium-range communication systems can persist in the water column for many tens of minutes after they are injected. This can result in a significant impact on underwater acoustic communications.
Variable Elimination for DLP-Functions

Forgetting, or the elimination of middle variables no longer deemed relevant, has recently gained considerable interest in the context of Answer Set Programming (ASP), notably due to the formalization of strong persistence, a property based on strong equivalence between the program and the result of forgetting modulo the atoms being eliminated, which seems to adequately encode the requirements of the forgetting operation. Whereas it has been shown that in general, in ASP, it is not always possible to forget and obey strong persistence, the structure of modules in the form of DLP-functions, namely their restricted interface, invites the investigation of a weaker notion of persistence based on uniform equivalence.
EL AUTOCONCEPTO Y LA EDUCACIÓN FÍSICA EN ESTUDIANTES DE SECUNDARIA

Introduccion: El autoconcepto o percepcion que una persona tiene de si misma es un concepto que se va formando en la adolescencia y que tiene mucha trascendencia en aspectos como la autoestima y la satisfaccion personal. La educacion fisica esta muy relacionada con el autoconcepto en esta etapa en la que muchos jovenes empiezan a tomar conciencia de su cuerpo. Estos jovenes practican actividad fisica por diversos motivos, entre los que se encuentran los de demostrar sus capacidades fisicas, conseguir aceptacion social y divertirse. Objetivo: El objetivo de este trabajo es conocer la importancia de las variables sexo, nota media en la asignatura de educacion fisica, relaciones familiares y relaciones sociales en la escala de autoconcepto fisico de alumnos de educacion secundaria. Metodos: La investigacion se desarrollo entre septiembre y noviembre del 2016, aplicando inicialmente un cuestionario (Escala de autoconcepto fisico) de 25 preguntas, aplicandolas a 85 sujetos entre los 12-15 anos de edad (42 hombres y 43 mujeres), correlacionado las variables de interes con Chi Cuadrado y Spearman. Resultados: Los resultados muestran que el ser varon, tener una Revista Cubana de Investigaciones Biomedicas. 2017;36(3) 2 nota alta en la asignatura de educacion fisica, vivir con ambos padres y sentirse importante en el grupo de amigos tienen una correlacion positiva con el autoconcepto. Conclusiones: fomentar formas de evaluacion de la asignatura de educacion fisica que no impliquen necesariamente grandes logros o capacidades corporales, sino que valoren el esfuerzo del nino ante todo, y que fomenten el companerismo y las relaciones grupales.
Feasibility Study of Acoustic Imaging for Human Thorax Using Contrast Source Inversion

In this paper, we study an acoustic imaging method based on contrast source inversion and its feasibility in quantitatively reconstructing the thorax compressibility and qualitatively reconstructing the thorax attenuation and density. The existence of gradient and divergence operator in the acoustic wave equation makes the relationship between the contrast and the total pressure highly nonlinear. To reduce this nonlinearity, we introduce two contrast sources to ensure the symmetry of the equation, such that the inverse problem can be solved efficiently using conjugate gradient method. Moreover, to improve the stability of the algorithm, we applied the multiplicative regularization scheme with two additive regularization factors. Numerical results show that the acoustic parameters of human thorax can be properly reconstructed at frequency of tens of kHz using this inverse algorithm.
Subcarrier Index-Power Modulated-Optical OFDM With Dual Superposition Multiplexing for Directly Modulated DFB-Based IMDD PON Systems

A low-signal-modulation format-enabled highly spectrally efficient new transmission technique termed subcarrier index-power modulated optical OFDM with dual superposition multiplexing (SIPM-OOFDM-DSPM) is proposed and investigated, for the first time, in intensity modulation and direct detection (IMDD) passive optical network (PON) systems incorporating directly modulated DFB lasers (DMLs). The DSPM operation passively adds two low-signal-modulation format-encoded complex numbers and assigns the sum to subcarrier index-power modulation (SIPM)-generated low- and high-power subcarriers. Detailed numerical explorations of SIPM-OOFDM-DSPM performances over additive white Gaussian noise channels are undertaken, based on which optimum key transceiver parameters are identified. In comparison with previously published techniques, over simple DML-based IMDD PON systems, SIPM-OOFDM-DSPM considerably improves the signal transmission capacity, system power budget, and performance tolerance to both chromatic dispersion and fiber nonlinearity. The work suggests that SIPM-OOFDM-DSPM is a promising signal transmission technique capable of providing cost-sensitive PON systems with improved transmission capacity, performance flexibility, and adaptability.
Detection of Slit Defects on Backside of Steel Plate Using Low-Frequency Eddy-Current Testing

The evaluation of opposite-side defects in thick ferromagnetic objects (for example, steel plates) is essential for safety maintenance. Eddy-current testing (ECT) can detect defects in metallic specimens; however, owing to the skin effect, its use is limited to the evaluation of surface or subsurface defects. Therefore, in this paper, we propose a non-contacting inspection system that consists of two excitation coils and a detection coil to detect slit defects on the backside of a steel plate using low-frequency ECT (LF-ECT). Using the proposed system, we examine whether LF-ECT mainly detects the leakage or the flux induced by the eddy current, and also examine which direction of the excitation currents in the two excitation coils is suitable for detecting slit defects. The results suggest that the method to drive the current in the same direction and to detect the imaginary part of the magnetic flux density, which corresponds to the flux induced by the eddy current, is suitable for detecting slit defects. Subsequently, we examine the detection limit of the height of the slit defect when the thickness of the steel plate is 10 mm and the width and length of the slit defect are constant, at 50 and 1 mm, respectively. The results demonstrate that the slit defect can be detected by using the proposed system when the height is greater than or equal to 4 mm. Therefore, the proposed system is a promising tool to detect critical defects on the backside of steel plates.
Neurophysiological Profile of Antismoking Campaigns

Over the past few decades, antismoking public service announcements (PSAs) have been used by governments to promote healthy behaviours in citizens, for instance, against drinking before the drive and against smoke. Effectiveness of such PSAs has been suggested especially for young persons. By now, PSAs efficacy is still mainly assessed through traditional methods (questionnaires and metrics) and could be performed only after the PSAs broadcasting, leading to waste of economic resources and time in the case of Ineffective PSAs. One possible countermeasure to such ineffective use of PSAs could be promoted by the evaluation of the cerebral reaction to the PSA of particular segments of population (e.g., old, young, and heavy smokers). In addition, it is crucial to gather such cerebral activity in front of PSAs that have been assessed to be effective against smoke (Effective PSAs), comparing results to the cerebral reactions to PSAs that have been certified to be not effective (Ineffective PSAs). The eventual differences between the cerebral responses toward the two PSA groups will provide crucial information about the possible outcome of new PSAs before to its broadcasting. This study focused on adult population, by investigating the cerebral reaction to the vision of different PSA images, which have already been shown to be Effective and Ineffective for the promotion of an antismoking behaviour. Results showed how variables as gender and smoking habits can influence the perception of PSA images, and how different communication styles of the antismoking campaigns could facilitate the comprehension of PSA's message and then enhance the related impact.
Probabilistic Caching as Mixed Strategies in Spatially-Coupled Edge Caching

The problem of probabilistic caching in a network with multiple edge nodes and user nodes is studied. Files with different lengths, caches with different sizes, and spatial coupling through overlapping service areas are considered. The connection between caching probabilities and strategy-mixing probabilities in a mixed strategy is characterized. It is found that a given set of caching probabilities for an edge node can correspond to more than one mixed strategies. Through this characterization, caching probabilities can be decomposed into pure caching strategies and corresponding strategy-mixing probabilities. Moreover, the best-response caching strategy of an EN is studied and obtained based on the spatial-coupling discounted file preference level. The impact of information availability and request scenario on the best-response strategy is analyzed. Numeric examples demonstrate the best-response strategy and the decomposition of the caching probabilities into pure strategies and strategy-mixing probabilities.
Datanet: Deep Learning Based Encrypted Network Traffic Classification in SDN Home Gateway

A smart home network will support various smart devices and applications, e.g., home automation devices, E-health devices, regular computing devices, and so on. Most devices in a smart home access the Internet through a home gateway (HGW). In this paper, we propose a software-defined-network (SDN)-HGW framework to better manage distributed smart home networks and support the SDN controller of the core network. The SDN controller enables efficient network quality-of-service management based on real-time traffic monitoring and resource allocation of the core network. However, it cannot provide network management in distributed smart homes. Our proposed SDN-HGW extends the control to the access network, i.e., a smart home network, for better end-to-end network management. Specifically, the proposed SDN-HGW can achieve distributed application awareness by classifying data traffic in a smart home network. Most existing traffic classification solutions, e.g., deep packet inspection, cannot provide real-time application awareness for encrypted data traffic. To tackle those issues, we develop encrypted data classifiers (denoted as DataNets) based on three deep learning schemes, i.e., multilayer perceptron, stacked autoencoder, and convolutional neural networks, using an open data set that has over 200 000 encrypted data samples from 15 applications. A data preprocessing scheme is proposed to process raw data packets and the tested data set so that DataNet can be created. The experimental results show that the developed DataNets can be applied to enable distributed application-aware SDN-HGW in future smart home networks.
Novel Method for Making Surface Insulation Layer on Fe-Based Amorphous Alloy Powder by Surface-Modification Using Two-Step Acid Solution Processing

By introducing the SiC/GaN power devices, the high-frequency switching dc–dc converters are expected to have higher efficiency and lightweight. This paper focuses on the Fe-based amorphous alloy powder (Fe–Si–B–Cr–C based) used in the metal composite bulk magnetic core for high-frequency power inductor and transformer. In terms of eddy-current loss at MHz band or beyond, iron-based metal composites are required to have fine magnetic particles with surface insulation layer. In this paper, the finest amorphous powder with a median diameter of 2.57 <inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> made by water atomization process was used. In order to fabricate the amorphous powder with surface insulation layer, a surface-modification scheme through the two-step acid solution processing using phosphoric acid and hydrochloric acid was introduced. As a result, the surface-modification scheme enabled to make a single-phase silica thin layer on the surface of the amorphous powder, and the silica thin layer was considered to be derivable from the silicon element in the amorphous (Fe–Si–B–Cr–C based) powder.
Efficient Sensitive Information Classification and Topic Tracking Based on Tibetan Web Pages

Internet is an important platform to spread public opinion for Tibetan people. The research on the Tibetan Web pages content analysis is meaningful for public opinion monitoring. Detecting sensitive words is beneficial to understand public opinion of the minority. In this paper, we present a novel sensitive information classification algorithm and topic tracking algorithm for Web pages contents. First, a text sensitive information classification method is proposed based on a vector space model and cosine theorem. The main idea is the different locations of sensitive words gives different importance degrees at term weight computing. Building sensitive word list is an artificial work. Compared with sensitive thesaurus, Web texts are classified. Sensitive word list is the foundation of classification. After the classification of each texts, a new topic tracking algorithm is introduced, which monitors sensitive words during a period of time. The first step is to compute weight of sensitive words in a fixed period of time and select the top 10 sensitive words. The second step is to select the top 3 sensitive words to track in 10 sensitive words. Experiments show that the classification of the text sensitive information is very effective and result of topic tracking is ideal.
The applications of CRISPR/Cas system in molecular detection

The Streptococcus pyogenes CRISPR/Cas system has found widespread applications as a gene‐editing and regulatory tool for the simultaneous delivery of the Cas9 protein and guide RNAs into the cell, thus making the recognition of specific DNA sequences possible. The recent study that shows that Cas9 can also bind to and cleave RNA in an RNA‐programmable manner is suggestive of potential utility of this system as a universal nucleic‐acid recognition tool. To increase the signal intensity of the CRISPR/Cas system, a signal amplification technique has to be exploited appropriately; this requirement is also a challenge for the detection of DNA or RNA. Furthermore, the CRISPR/Cas system may be used to detect point mutations or single‐nucleotide variants because of the specificity of the recognition between the target sequence and the CRISPR/Cas system. These lines of evidence make this technique capable of detecting pathogens during infection via analysis of their DNA or RNA. Thus, here we summarize applications of the CRISPR/Cas system to the recognition and detection of DNA and RNA molecules as well as the signal amplification. We also describe its potential ability to detect mutations and single‐nucleotide variants. Finally, we sum up its applications to testing for pathogens and potential barriers for its implementation.
Magnetohydrodynamic Approach to Effective Blood-Flow Control Utilizing Extremely Low-Frequency Fields

In this paper, we investigated the magnetohydrodynamic effects of extremely low-frequency fields produced by a prototype diverted from an existing alternating magnetic therapy apparatus (AMTA). Diverting the use of a commercial AMTA, we prepared a prototype equipped with two additional coils for twisting the magnetic field of the apparatus. Five healthy male subjects ranging in age from 33 to 68 (two subjects each in their 30s and 40s, and one subject in his 60s) took part in this experiment. The heart beat fluctuation index [LF/HF: low frequency (LF) and high frequency (HF)] was measured with a prefrontal probe every 0.1 s during functional near-infrared spectroscopic (fNIRS) measurement sessions. Our experimental results showed the fact that the proper twisted magnetic fields induced from the prototyped machine were able to control the autonomic nervous system, judging from the LF/HF indexes on fNIRS measurements.
Perioperative Immunosuppression and Risk of Cancer Progression: The Impact of Opioids on Pain Management

Opioids comprise an important group of drugs used in cancer pain pharmacotherapy. In recent years, more and more studies have emerged indicating the potentially immunosuppressive effects of opioid analgesics and their serious consequences, including the risk of cancer progression. The identification of these risks has prompted a search for other effective, and most importantly, safer methods of perioperative analgesic management. Regional analgesia techniques, which allow for a significant reduction in opioid dosing and thus diminish the risk of immunosuppression associated with these drugs, seem to offer substantial hope in this respect. A number of studies available in the literature assess the effects of regional analgesia techniques on cancer progression; however, it is often difficult to interpret their results owing to several perioperative factors (such as surgical trauma, inadequate pain and stress relief, and hypothermia) which are also attributed immunosuppressive effects and tend to be implicated in increased risk of cancer progression. Further research is needed to verify the available data on both the potential adverse effects of opioids and the possible protective effects of regional analgesia techniques on cancer patients.