Miracle-dz/UniFAR-FTUs huggingface dataset:
Leakage Power Attack-Resilient Symmetrical 8T SRAM Cell

Power analysis attacks have become a serious threat to security systems by enabling secret data extraction using side-channel leakage information. Embedded memories, often implemented with 6T SRAM cells, serve as a key component in many of these systems. However, conventional SRAM cells are prone to side-channel leakage power attacks. To provide resiliency to these types of attacks, we propose a symmetric 8T SRAM cell which incorporates two more transistors than the conventional 6T cell to significantly reduce the correlation between the stored data and the leakage currents. To demonstrate the improved security of the suggested memory array, both cells were implemented in a 65-nm CMOS technology. Simulation results, including Monte Carlo analysis and signal-to-noise ratio comparison, illustrate the resiliency of the 8T cell to leakage power attacks.
Multipath Source Routing Protocol for Mobile Adhoc Networks with Performance Effective Analysis

Wireless Adhoc Network (WANET) is an attractive technology that will determine many applications on new technology. Manet has the principle of infrastructure and infrastructure less, where static as well as dynamic networks are attractive, there are few major limitation's that shield commercial elasticity. Privacy of data is a main barrier; MANET'S have major concern about Security attacks. We discovered key to increase the security resilience is to make use of dynamic multi source routing algorithms and it has new problems in form of security and its overhead. In this discovery we consider the limitations of protected routing in completely or partially circulated WANETs using multipath dynamic source routing. After spotting the previous results of multipath in terms of security, I proposed a high performance multipath Routing Algorithm and a new feature to control security breech and to secure routing protocol to decrease the security overhead.
A regional bolus tracking and real‐time B1 calibration method for hyperpolarized 13C MRI

Acquisition timing and B1 calibration are two key factors that affect the quality and accuracy of hyperpolarized 13C MRI. The goal of this project was to develop a new approach using regional bolus tracking to trigger Bloch‐Siegert B1 mapping and real‐time B1 calibration based on regional B1 measurements, followed by dynamic imaging of hyperpolarized 13C metabolites in vivo.
Measuring the Innovation Efficiency in China's High-Tech Industries: An Empirical Study Based on Panel Data

Measuring the innovation efficiency of high-tech industries correctly is critical for technical gap narrows and industrial policy making which can help in improving the innovation capability. In this study, we propose a novel measurement framework based on knowledge based view and the innovation efficiency is broken down into development efficiency and transformation efficiency. To confirming this new framework, we employ stochastic frontier analysis technique and a unique panel data set of high-tech industries cross-region in China from 2010 to 2014. Results indicate that trans-log function is fit for measuring the development efficiency and Cobb-Douglas function is fit for measuring the transformation efficiency. It also provides evidences that innovation inefficiency exist in China's high-tech industries although the overall trend of efficiency is increasing.
Resource Allocation for D2D-Enabled Communications in Vehicle Platooning

Recent studies have shown that traffic safety and efficiency can be substantially improved by vehicle platooning, in which the platoon’ stability is ensured through the exchange of control information among vehicles. So, it is a key issue to share control information efficiently and timely. Proximity-based device-to-device (D2D) communications with high transmission rate, can provide a promising solution to the above issue. In this paper, a platoon leader evaluation-based two-stage platoon formation algorithm is proposed to form stable platoons, which can significantly reduce the spectrum resource overhead and improve the safety of vehicle platooning. After that, we propose a predecessor-following communication mode-based on D2D, ensuring high-rate transmission of control information. Moreover, we propose time division-based intra-platoon and minimum rate guaranteed inter-platoon resource allocation mechanisms, which aims at allocating resources for D2D users efficiently within the platoon and optimize cellular users’ rate, respectively. Numerical results show that the proposed mechanism and algorithm can not only significantly improve spectrum resource utilization, but also guarantee the platoon stability.
Polymer Halide Perovskites-Waveguides Integrated in Nanocellulose as a Wearable Amplifier-Photodetector System

Semiconductor organometallic halide (CH3NH3PbX3, X=Cl, Br, I) perovskites (MHP) have emerged as a very high promising material for optoelectronics. Their large absorption coefficients, high electronic mobilities, excellent quantum yield of emission at room temperature and tunable band-gap with the composition resulted in a new generation of photovoltaics and electronic devices. In this work, HPVK materials are successfully incorporated on a nanocellulose (NC) substrate with the intention to exploit the interesting properties of HPVK materials to construct wearable devices. In particular, a bilayer Poly(methyl methacrylate) /HPVK deposited on NC resulted in a suitable waveguide to demonstrate amplification of the spontaneous emission (ASE) with a threshold as low as 3 – 4 nJ. Moreover, when a photodetector system is integrated within the waveguide, the device provides a photocurrent useful to monitor the light/ASE propagated/generated along the structure. This approximation paves the road of new wearable systems with a broad range of applications.
!FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances

Nearest neighbor classifiers recognize stroke gestures by computing a (dis)similarity between a candidate gesture and a training set based on points, which may require normalization, resampling, and rotation to a reference before processing. To eliminate this expensive preprocessing, this paper introduces a vector-between-vectors recognition where a gesture is defined by a vector based on geometric algebra and performs recognition by computing a novel Local Shape Distance (LSD) between vectors. We mathematically prove the LSD position, scale, and rotation invariance, thus eliminating the preprocessing. To demonstrate the viability of this approach, we instantiate LSD for n=2 to compare ! FTL, a 2D stroke-gesture recognizer with respect to $1 and $P, two state-of-the-art gesture recognizers, on a gesture set typically used for benchmarking. FTL benefits from a recognition rate similar to $P, but a significant smaller execution time and a lower algorithmic complexity.
Advances in Forensic Data Acquisition

Editor’s note: You all know this from watching CSI: When a crime is committed, usually some form of digital evidence is left on devices such as computers, mobile phones, or the navigation system of a car a suspect has used. Indeed, law enforcement agencies are regularly interested in data from personal devices to find evidence, guide investigations, or even act as proof in a court of law. This tutorial article by Felix Freiling et al. mentions the San Bernadino case as a prominent example. But how do police investigators go about accessing this evidence? Is what is shown on TV realistic? Whereas, in times of classical hard disks, accessing data was quite easy due to the non- volatility of the memory device. However, this is getting increasingly difficult because of developing technologies like SSDs, other forms of flash storage, and, in particular, for volatile memory such as RAM, with the major problem being to read out data while guarding “authenticity. ” In the past ten years, there has been some substantial development in the area of forensic data acquisition, which is summarized by the article. It gives clear indications of what currently can be technically done and what cannot be done by police investigators. So, if you watch CSI again and the cops need to access some digital evidence, you can tell truth from fiction. —Jürgen Teich, Friedrich-Alexander-Universität Erlangen-Nürnberg
DIMENSION: Dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training

Dynamic MR image reconstruction from incomplete k‐space data has generated great research interest due to its capability in reducing scan time. Nevertheless, the reconstruction problem is still challenging due to its ill‐posed nature. Most existing methods either suffer from long iterative reconstruction time or explore limited prior knowledge. This paper proposes a dynamic MR imaging method with both k‐space and spatial prior knowledge integrated via multi‐supervised network training, dubbed as DIMENSION. Specifically, the DIMENSION architecture consists of a frequential prior network for updating the k‐space with its network prediction and a spatial prior network for capturing image structures and details. Furthermore, a multi‐supervised network training technique is developed to constrain the frequency domain information and the spatial domain information. The comparisons with classical k‐t FOCUSS, k‐t SLR, L+S and the state‐of‐the‐art CNN‐based method on in vivo datasets show our method can achieve improved reconstruction results in shorter time.
Agile Smart-device based Multi-factor Authentication for Modern Identity Management Systems

: Identiﬁcation and authentication are essential processes in various areas of applications. While these processes are widely described and examined in respect to Web applications that are used on personal computers, the situation is more demanding on smart or mobile devices, as these devices provide other interfaces and have a different user behavior. Additionally, the smart or mobile technology sector has a continuous enhancement that results in no stable technology over the years. Consequently, new usable, agile, and secure methods become necessary to bring identiﬁcation and secure authentication on smart or mobile platforms. Several proposals are published that should solve this open problem. However, all of them lacks in respect to high-secure authentication by using smart or mobile devices only. In this paper, we propose an agile smart-device based multi-factor authentication model to close the open gap on high-secure authentication. This proposed model combines multiple authenticators on client-side only to increase the assurance of authentication on an eID consumer service. We illustrate the practical applicability of our model by implementing all needed components. Finally, we evaluate the implemented components during the ﬁrst test in a small group and we a are currently for a wider pilot to evaluate the usability of our proposed model.
Focal and Non-Focal Epilepsy Localization: A Review

The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which has affected $\approx ~60$ million people in the world. Hence, an early detection of the focal epileptic seizures can be carried out using the EEG signals, which act as a helpful tool for early diagnosis of epilepsy. Several EEG-based approaches have been proposed and developed to understand the underlying characteristics of the epileptic seizures. Despite the fact that the early results were positive, the proposed techniques cannot generate reproducible results and lack a statistical validation, which has led to doubts regarding the presence of the pre-ictal state. Various methodical and algorithmic studies have indicated that the transition to an ictal state is not a random process, and the build-up can lead to epileptic seizures. This study reviews many recently-proposed algorithms for detecting the focal epileptic seizures. Generally, the techniques developed for detecting the epileptic seizures were based on tensors, entropy, empirical mode decomposition, wavelet transform and dynamic analysis. The existing algorithms were compared and the need for implementing a practical and reliable new algorithm is highlighted. The research regarding the epileptic seizure detection research is more focused on the development of precise and non-invasive techniques for rapid and reliable diagnosis. Finally, the researchers noted that all the methods that were developed for epileptic seizure detection lacks standardization, which hinders the homogeneous comparison of the detector performance.
Comparison of Approaches of Distributed Satellite Image Edge Detection on Hadoop

In the world of bigdata, Hadoop has become the major platform for storage and processing. Due to advancement in technology in the area of remote sensing, tremendous growth in data has been witnessed. In this paper, we have conducted experiments and compared two methods in which edge detection of satellite images is performed on Hadoop. Since, edge detection is one of the prime steps in the field of image processing and is being used for object detection in the image, we have targeted this basic algorithm of image processing for our experiments. In earlier research for edge detection on Hadoop, SequenceFiles were used to store and process images. In our experiments, we have leveraged distributed processing of Hadoop by logically splitting the file on HDFS and performing edge detection in distributed manner. The experiments were performed on Amazon AWS Elastic MapReduce (EMR) cluster using different satellite images varying from 10MB-200MB. The paper describes the comparison of the two approaches.
MiR-205 Mediated Cu-Induced Lipid Accumulation in Yellow Catfish Pelteobagrus fulvidraco

The present working hypothesis is that the Cu-induced changes in lipid metabolism may be mediated by miRNAs. Here, we describe the miRNA profile of the liver tissues of yellow catfish exposed to waterborne Cu, based on larger-scale sequencing of small RNA libraries. We identified a total of 172 distinct miRNAs. Among these miRNAs, compared to the control, mRNA expression levels of 16 miRNAs (miR-203a, 205, 1788-3p, 375, 31, 196a, 203b-3p, 2187-5p, 196d, 459-3p, 153a and miR-725, and two novel-miRNAs: chr4-1432, chr-7684) were down-regulated, and mRNA levels of miR-212 and chr20-5274 were up-regulated in Cu-exposed group. The functions of their target genes mainly involved ether lipid metabolism, glycerophospholipid metabolism, linoleic acid metabolism and α-linolenic acid metabolism. Cu exposure inhibited the expression of miR-205, whose predicted target genes were enriched in the pathway of lipid metabolism, including fas, lxrα, ddit3, lamp2, casp3a and baxa. These potential target genes were further verified by Dual-luciferase reporter gene assay. Using primary hepatocytes of yellow catfish, Cu incubation down-regulated miR-205 expression, and increased TG contents and FAS activity. LXR antagonist effectively ameliorate the Cu-induced change of TG content and FAS activity. These data suggest that down-regulation of the miRNA-205 may be an important step in Cu-induced changes in lipid metabolism in yellow catfish.
Keeping Emotions in Mind: The Influence of Working Memory Capacity on Parent-Reported Symptoms of Emotional Lability in a Sample of Children With and Without ADHD

Emotional lability (EL) often co-occurs with attention-deficit/hyperactivity disorder (ADHD) in children. However, difficulties of regulating intense emotions in ADHD are still poorly understood. We investigated the potential role of working memory (WM) as a protective factor against EL in children with ADHD by building on models describing the close relationship between WM and regulation of emotions. The parents of 41 children with ADHD and 34 typically developing children (TDC) filled out the emotional control scale (ECS) from the Behavior Rating Inventory of Executive Functioning and the child behavior checklist (CBCL). The children themselves completed the backward conditions of the digit span (DS) and spatial span (SS) tasks as well as the letter–umber sequencing (LNS) task. The results of a stepwise regression analysis confirmed the negative relationship between parent reported EL measured using the ECS and scores on the LNS, when controlling for symptoms of ADHD and oppositional defiant disorder (ODD). WM thus seems to be important for the ability of the children to express emotions in an adaptive and flexible way. We therefore suggest that a poorer WM capacity, which is often found in children with ADHD, may be a predictor of high levels of EL.
Galgeun-tang Attenuates Cigarette Smoke and Lipopolysaccharide Induced Pulmonary Inflammation via IκBα/NF-κB Signaling

Galgeun-tang water extract (GGWE) is used to treat various diseases such as the common cold, eczema and asthma in China and Korea. In this study, we investigated the anti-inflammatory effect of GGWE using a cigarette smoke (CS)- and lipopolysaccharide (LPS)-induced induced pulmonary inflammation mouse model. The mice were exposed to CS for a total of seven days (eight cigarettes per day for 1 h) and LPS was administered intranasally to mice on day 4. GGWE was administered by oral gavage at doses of 50 mg/kg or 100 mg/kg 1 h before exposure to CS. GGWE decreased inflammatory cell counts, and expression of inflammatory cytokines such as interleukin (IL)-6 and tumor necrosis factor alpha (TNF-α) in bronchoalveolar lavage fluid (BALF) from mice exposed to CS and LPS. GGWE reduced the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2), as well as the phosphorylation of inhibitor of kappa-B subunit alpha (IκBα) and nuclear factor kappa-B (NF-κB) in CS- and LPS-exposed mice. Histological examinations revealed that GGWE suppressed inflammatory cell infiltration into lung tissue compared to untreated CS- and LPS-exposed mice. In conclusion, GGWE effectively suppressed CS- and LPS-induced pulmonary inflammation. Our results indicate that GGWE may be used as a protective drug to control pulmonary inflammation diseases such as chronic obstructive pulmonary disease.
A Two-element Wideband MIMO Antenna For X-Band, Ku-Band, K-band Applications

A two-element wideband MIMO antenna is presented in this letter. This wideband MIMO is composed of two inverted E-shaped monopole elements having symmetrically configuration, and uses of dumbbell shaped slot structure between central positions of two elements to achieve low mutual coupling. It has covered wide frequency bandwidth from 8.47 GHz to 26.76 GHz with higher isolation (more than 22 dB). The overall dimension of this antenna is 35mm × 40mm × 1.6mm. This simulated antenna is realized on FR4 substrate with relative permittivity of 4.4. The ECC (envelope correlation coefficient) and diversity gain are also studied and calculated which provide satisfactory results over the entire operating band for the application of X-band, Ku-band and K-band.
Clinical experience with a novel anchored, frameless copper-releasing contraceptive device for intra-caesarean insertion

Abstract Objectives: The primary objective of the study was to determine the expulsion rate of the newly developed frameless GyneFix Caesarean Section (Gyn-CS®) device, specifically developed to minimise expulsion when inserted immediately after delivery of the placenta during caesarean section. Secondary objectives included evaluation of side effects, patient’s satisfaction with the method and continuation of use. Methods: A prospective, non-randomised clinical trial was conducted at a single university hospital research centre in Istanbul, Turkey, with follow-up at 4–6 weeks and again at 3 months. The majority of participants (∼80%) were planned for elective caesarean delivery. Results: The study analysed 100 Gyn-CS devices inserted immediately after delivery of the placenta in a group of multiparous women undergoing planned or emergency caesarean section. One expulsion occurred early in the study, which was subsequently attributed to improper anchoring of the device. No serious adverse events (e.g. pelvic inflammatory disease or perforation) were reported. At the last follow-up visit, at approximately 90 d, 89 Gyn-CS devices were still in place (one participant was lost to follow-up). Conclusion: The study confirms that intra-caesarean implantation of the newly designed frameless Gyn-CS to the uterine fundus is a simple procedure that has no timing restraints, high patient acceptance and minimal risk of expulsion and displacement, while affording all the contraceptive benefits of a conventional copper-releasing intrauterine device. In addition, by preventing a shortened interpregnancy interval, the Gyn-CS can promote proper healing of the laparotomy wound. As insertion is easy, safe and quick, the Gyn-CS could significantly increase the use of immediate postplacental delivery intrauterine contraception, thus serving to reduce the number of unintended follow-on pregnancies.
Syncytial isopotentiality: A system‐wide electrical feature of astrocytic networks in the brain

Syncytial isopotentiality, resulting from a strong electrical coupling, emerges as a physiological mechanism that coordinates individual astrocytes to function as a highly efficient system in brain homeostasis. However, whether syncytial isopotentiality occurs selectively to certain brain regions or is universal to astrocytic networks remains unknown. Here, we have explored the correlation of syncytial isopotentiality with different astrocyte subtypes in various brain regions. Using a nonphysiological K+‐free/Na+ electrode solution to depolarize a recorded astrocyte in situ, the existence of syncytial isopotentiality can be revealed: the recorded astrocyte's membrane potential remains at a quasi‐physiological level due to strong electrical coupling with neighboring astrocytes. Syncytial isopotentiality appears in Layer I of the motor, sensory, and visual cortical regions, where astrocytes are organized with comparable cell densities, interastrocytic distances, and the quantity of directly coupled neighbors. Second, though astrocytes vary in their cytoarchitecture in association with neuronal circuits from Layers I–VI, the established syncytial isopotentiality remains comparable among different layers in the visual cortex. Third, neurons and astrocytes are uniquely organized as barrels in Layer IV somatosensory cortex; interestingly, astrocytes both inside and outside of the barrels do electrically communicate with each other and also share syncytial isopotentiality. Fourth, syncytial isopotentiality appears in radial‐shaped Bergmann glia and velate astrocytes in the cerebellar cortex. Fifth, although fibrous astrocytes in white matter exhibit a distinct morphology, their network syncytial isopotentiality is comparable with protoplasmic astrocytes. Altogether, syncytial isopotentiality appears as a system‐wide electrical feature of astrocytic networks in the brain.