Miracle-dz/UniFAR-FTUs huggingface dataset:
Residual LSTM Attention Network for Object Tracking

In this letter, we propose an attention network for object tracking. To construct the proposed attention network for sequential data, we combine long–short term memory (LSTM) and a residual framework into a residual LSTM (RLSTM). The LSTM, which learns temporal correlation, is used for a temporal learning of object tracking. In the proposed RLSTM method, the residual framework, which achieves the highest accuracy in ImageNet large scale visual recognition competition (ILSVRC) 2016, learns the variations of spatial inputs and thus achieves the spatio-temporal attention of the target object. Also, a rule-based RLSTM learning is used for robust attention. Experimental results on large tracking benchmark datasets object tracking benchmark (OTB)-2013, OTB-100, and OTB-50 show that the proposed RLSTM tracker achieves the highest performance among existing trackers including the Siamese trackers, attention trackers, and correlation trackers, and also has comparable performance with the state-of-the-art deep trackers.
On high-level control of power-augmentation lower extremity exoskeletons: Human walking intention

Lower extremity exoskeleton is a powerful tool for power augmentation of the user. In general, three control levels can be designed for motion stabilization of human-robot interaction: high-level control represented by human walking intention, mid-level control for regulation of switching periods of walking phases, and low-level control for motion tracking and stabilization purposes. Three important points should be considered while designing the control architecture: (1) determination of the power assist rate required for empowering the user, (2) minimization of the interaction force wrench at the attachment locations, and (3) regulation of switching periods of the walking phases. To end this, the user's joint torques and/or his/her position are often required to be measured/estimated. There are different techniques used for extracting and capturing the user intention such as electromyography technique, measurement of global kinematic parameters, and the use of force/torque sensors at the physical interaction interfaces. Accordingly, this paper introduces a systematic overview of capturing user-walking intention with focus on poweraugmentation lower extremity exoskeletons.
Impact of photovoltaic penetration on small signal stability considering uncertainties

This paper applies cumulant method to analyze the influence of Photovoltaic Penetration (PV) considering fluctuations in small signal stability The cumulant method for small signal stability is mainly based on sensitivity analysis which is then used with Gram-Charlier expansion to obtain the valuable information of probability density function (PDF) and Cumulative Density Function (CDF) of the real part of the critical eigen value and damping factor. A supplementary controller to enhance small signal stability is also presented and its performance is also analyzed. The test system is a modified IEEE 16 machine, 68 bus system which is benchmarked to study small signal oscillatory dynamics in power systems. The results show that the PV fluctuations have potential to cause oscillatory instability and the future large PV farms should also contain Power Oscillation Damper (POD) to damp these oscillations.
Prenatal Exposure to Perfluoroalkyl Substances and IQ Scores at Age 5; a Study in the Danish National Birth Cohort

Background: Perfluoroalkyl substances (PFASs) are widespread persistent organic compounds that have been suggested to affect neurodevelopment. Objective: We aimed to evaluate whether prenatal exposure to PFASs is associated with IQ in children. Methods: We studied 1,592 pregnancies enrolled in the Danish National Birth Cohort (DNBC) during 1996–2002. Sixteen PFASs were measured in maternal plasma collected in early gestation. Child IQ was assessed at 5 y of age using the Wechsler Primary and Preschool Scales of Intelligence–Revised (WPPSI-R) administered by trained psychologists. Using multivariable linear regression models, we estimated the differences in child IQ scores according to PFAS concentration [per natural-log (ng/mL) unit increase or values categorized in quartiles]. Results: Perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) were detected in all samples, and five additional PFASs were quantified in >80% of the samples. Overall, we found no strong associations between a natural-log unit increase in each of the seven PFASs we evaluated and child IQ scores. A few positive and negative associations were found in the sex-stratified PFAS quartile analyses, but the patterns were inconsistent. Conclusion: Overall, we did not find consistent evidence to suggest prenatal exposure to PFASs to be associated with child IQ scores at 5 y of age in the DNBC. Some of the sex-specific observations warrant further investigation. Additional studies should examine offspring IQ at older ages and assess other functional cognitive and neuropsychiatric measures in addition to intelligence. Postnatal exposures to PFASs and mixture effects for PFASs and PFASs with other environmental pollutants should also be considered in future research. https://doi.org/10.1289/EHP2754
A MODEL APPROACH TO DESCRIBE THE FRESH PROPERTIES OF SELF-COMPACTING CONCRETE (SCC) EIN MODELLANSATZ ZUR BESCHREIBUNG DER FRISCHBETON- EIGENSCHAFTEN VON SELBSTVERDICHTENDEM BETON (SVB) UN MODELE DECRIVANT LES PROPRIETES A L'ETAT FRAIS DES

Within the scope of a parameter study the influence of the mixture composition on the fresh concrete properties of self-compacting concrete was investigated. The concrete was modelled as a two-phase system, consisting of the fluid phase “paste” and the solid phase “aggregates”. Thus the consistency control parameters paste volume, mortar volume and the coarse aggregate volume could be transferred into the model parameter excess paste thickness. By means of this model parameter the characteristic values of the standard tests – such as slump flow test and V-funnel test – and the fundamental rheological parameters yield stress and the plastic viscosity could be described.
Wavelet neural network based-identification and control for a class of nonlinear-systems: Application to two-mass motor drive system

In the framework of nonlinear process modeling, we propose a scheme of identification and control of a class of nonlinear systems based on the wavelet neural networks technique. The rules to update the system parameters are managed by gradient-based techniques. Initialization procedure of wavelet parameters is established by the heuristic method. The structure of the proposed approach is tested for the identification and the control of a class of nonlinear systems based type motor drive system and dynamic plants commonly used in the literature.
Silicon-Micro-Ring Resonator-Based Erbium Fiber Laser With Single-Longitudinal-Mode Oscillation

In this paper, we propose and experimentally illustrate a wavelength-switchable erbium-doped fiber (EDF) dual-ring (DR) laser with stable single-longitudinal-mode (SLM) oscillation. In the experiment, a silicon-micro-ring-resonator (SiMRR) is applied in the proposed DR cavity for tuning different output wavelengths, when the birefringence loss is adjusted correctly. To compress the densely multilongitudinal-mode oscillations, the DR scheme together with a 2-m unpumped EDF-based saturable absorber is acted as the mode filter. The DR also can produce self-injection loop for an SLM operation. The wavelength tunability is between 1532.61 to 1557.98 nm and the measured 3-dB output linewidth is ∼22.5 kHz. Moreover, the output stabilizations of the proposed SiMRR-based EDF DR laser are also analyzed and discussed.
Analog direct path interference suppression for FM based passive radars

In passive radar systems the direct path interference strongly limits the detection performance, and demands the application of high resolution ADCs (Analog to Digital Converter). In this paper a direct path interference suppression technique is presented which operates in the analog domain prior to the digitalization. Using the introduced interference mitigation procedure the dynamic range required to the received signal can be effectively decreased, allowing the use of low resolution ADCs and low cost general purpose SDR devices. Laboratory measurement results taken with an FM based demonstrator system shows 20dB suppression. While in real environment 15dB detection performance enhancement could be evinced with field trials.
Model predictive field oriented speed control of brushless doubly-fed reluctance motor drive

The paper proposes model predictive current control (MPCC) strategy for the speed control of brushless doubly-fed reluctance motor (BDFRM) drive. For the decoupled control of torque/speed and flux, the primary field orientation strategy is included in the control mechanism. Improved and straightforward current control is achieved by replacing linear current controllers and pulse-width modulator with model predictive current controller. The proposed MPCC is compared with classical FOC approach of BDFRM drive concerning speed, torque ripple contents and transient response. The efficacy of the proposed method is verified by simulation study in MATLAB/Simulink.
On the unimportance of phase-coherent measurements for beampattern-assisted positioning

Accurate indoor radio positioning requires high-resolution measurements to either utilize or mitigate the impact of multipath propagation. This high resolution can be achieved using large signal-bandwidth, leading to superior time resolution and / or multiple antennas, leading to additional angle resolution. To facilitate multiple antennas, phase-coherent measurements are typically necessary. In this work we propose to employ non-phase-coherent measurements obtained from directional antennas for accurate single-anchor indoor positioning. The derived algorithm exploits beampatterns to jointly estimate multipath amplitudes to be used in maximum likelihood position estimation. Our evaluations based on measured and computer generated data demonstrate only a minor degradation in comparison to a phase-coherent processing scheme.
Anti-tumor activity of phenoxybenzamine and its inhibition of histone deacetylases

The principal finding from this study was the recognition that the α-adrenergic antagonist, phenoxybenzamine, possesses histone deacetylase inhibitory activity. Phenoxybenzamine is approved by the United States Food and Drug Administration for the treatment of hypertensive crises associated with tumors of the adrenal medulla, pheochromocytomas. It has several “off label” indications relative to its capacity to relax vascular smooth muscle and smooth muscle of the urogenital tract. The drug also has a long history of apparent efficacy in ameliorating, and perhaps reversing, the severe symptoms of neuropathic pain syndromes. Our interest in this feature of the drug relates to the fact that certain types of neuropathic pain, in particular complex regional pain syndrome, demonstrate a proliferative nature, with the capacity to spread from an injured limb, for example, to a non-injured limb and perhaps to essentially the entire body. Sensory neuronal sprouting in the spinal cord has been observed under conditions where there is a high sensory input from painful stimuli. Searches of gene expression signatures in the BroadBuild02 Molecular Signature Database using their connectivity map software suggested that phenoxybenzamine may have histone deacetylase inhibitory activity. Studies by others have reported inhibitory effects of phenoxybenzamine on growth, invasion and migration of human tumor cell cultures and, in one study, inhibition of tumor expansion in animal experiments. Inhibitory effects on human tumor cell cultures are also reported in the present study. Phenoxybenzamine was also found to have histone deacetylase inhibitory activity; histone deacetylase isoforms 5, 6, and 9 were the most sensitive to inhibition by phenoxybenzamine. The importance of elevated levels of these isoforms as biomarkers of poor prognosis in human malignant disease, and the recognized suppression of tumor growth that may accrue from their inhibition, opens consideration of possible translation of phenoxybenzamine to new clinical applications. This might be facilitated by the fact that phenoxybenzamine is already an approved drug entity. There appears to be no previous report of the activity of phenoxybenzamine as a histone deacetylase inhibitor.
Induction of apoptosis and suppression of tumor growth by Nur77-derived Bcl-2 converting peptide in chemoresistant lung cancer cells

Resistance to chemotherapy is a major cause of treatment failure and poor overall survival in patients with lung cancer. Identification of molecular targets present in resistant cancer cells is essential for addressing therapeutic resistance and prolonging lung cancer patient survival. Members of the B-cell lymphoma 2 (Bcl-2) family of proteins are associated with chemotherapeutic resistance. In this study, we found that pro-survival protein Bcl-2 is upregulated in paclitaxel resistant cells, potentially contributing to chemotherapy resistance. To exploit the increase in Bcl-2 expression for targeting therapy resistance, we investigated the effects of a peptide derived from the nuclear receptor Nur77 that converts Bcl-2 from an anti-apoptotic protein to a pro-apoptotic protein. The Nur77 derived peptide preferentially induced apoptosis in paclitaxel-resistant cancer cells with high expression of Bcl-2. This peptide also induced apoptosis of multidrug resistant H69AR lung cancer cells that express Bcl-2 and inhibited their growth in 3D spheroids. The Nur77 peptide strongly suppressed the growth of paclitaxel-resistant lung cancer cells in a zebrafish xenograft tumor model. Taken together, our data supports a new strategy for treating lung cancers that acquire resistance to chemotherapy through overexpression of Bcl-2.
English supplementive ing-clauses and their German and Swedish correspondences

This paper investigates English supplementive ing -clauses (e.g., Hitler exploded, demanding examples. ) in German and Swedish contrast. The material consists of popular non-fiction originals and their translations from the Linnaeus University English-German-Swedish corpus (LEGS) (version 0.1). The results show that coordination is the most frequent correspondence of supplementive ing -clauses in German and Swedish translations and originals. Like the supplementive ing -clause, a coordination is a compressed and semantically indeterminate structure. The other major correspondences include subordination, main clause and prepositional phrase. German translators more often use main clauses than Swedish translators, which seems to be related to an increasing German tendency for parataxis rather than hypotaxis. A number of German and Swedish instances involve different kinds of explicitation, including conjunctions and German pronominal adverbs.
QoE based SDN heterogeneous LTE and WLAN multi-radio networks for multi-user access

The scarcity of the long term evolution (LTE) bandwidth and the increasing data demand call for more wireless local area networks (WLANs) to help the cellular offloading. A software-defined networking (SDN) based control approach is proposed to effectively utilize the heterogeneous LTE and WLAN radio bandwidth by operating the multi-radio interfaces simultaneously. The use of the deployed Wi-Fi access points (APs) for Internet access has been a common practice for most people, however, the total utility or the quality of experience (QoE) drops when users compete for a single Wi-Fi AP or there is no controller to aid them to allocate rates to each radio access technology (RAT). This problem will even aggravate when more APs are involved in wireless mobile networks. This paper investigates how heterogeneous resources should be coordinated and allocated to multi-user access of the LTE and Wi-Fi aggregation (LWA) network. The proposed application layer scheme can adjust the target users and resources adaptively based on estimated users states so that the total QoE attained by all users is maximized. The developed scheme can help the operator decide the associations of users to appropriate Wi-Fi APs and adaptively adjust rate allocations of each user on the associated Wi-Fi and LTE. The good performance and low complexity of the proposed scheme is validated in a network simulator (NS-3).
Self-authenticating secure boot for FPGAs

Secure boot within an FPGA environment is traditionally implemented using hardwired embedded cryptographic primitives and NVM-based keys, whereby an encrypted bitstream is decrypted as it is loaded from an external storage medium, e.g., Flash memory. A novel technique is proposed in this paper that self-authenticates an unencrypted FPGA configuration bitstream loaded into the FPGA during startup. The power-on process of an FPGA loads an unencrypted bitstream into the programmable logic portion which embeds the self-authenticating PUF architecture. Challenges are applied to the components of the PUF engine both as a means of generating a key and performing self-authentication. Any modifications made to the PUF architecture results in key generation failure, and failure of subsequent stages of the secure boot process. The generated key is used in the second stage of the boot process to decrypt the programmable logic portion of the design as well as components of the software, e.g., Linux operating system and applications, that run on the processor side of the FPGA.
Tectonic setting of the Glance Conglomerate along the Sawmill Canyon fault zone, southern Arizona: A sequence analysis of an intra-arc strike-slip basin

In the western Bisbee Basin of southern Arizona, detailed mapping and sequence analysis of the Glance Conglomerate along the largest basin-bounding fault, the Sawmill Canyon fault zone, reveals interbedded clastic, volcanic, and volcaniclastic lithofacies and their relationship to intrabasinal faulting, unconformities, and basin-bounding faults. The basin fi ll is dominated by small polygenetic, multivent volcanic complexes ranging in composition from rhyolite to andesite typical of continental arc volcanism. Syndepositional basin-bounding faults, the Sawmill Canyon and Gringo Gulch fault zones, controlled subsidence within the basin and plumbed small batches of magma to the surface. Small intrabasinal faults show stratigraphically limited offsets that alternate between normal and reverse separation. Eight unconformable surfaces occur within the basin. Five are asymmetrical, with one very steep wall and one gradually sloping wall. They show extreme vertical relief (460‐910 m) with very high paleoslope gradients (40°‐71°) that dip away from the master fault. We interpret these as uplifted fault scarps or paleoslide scars. The other three unconformities are symmetrical, V-shaped surfaces that have less steep walls, with vertical relief of 200‐600 m and paleoslope gradients of 20°‐25°. We interpret the symmetrical surfaces to be walls of deep paleocanyons cut during basin uplift events or following large ignimbrite eruptions. Analysis of the unconformably bound stratigraphic sequences shows deposition to be related to subsidence along large basin-bounding faults modifi ed by intrabasinal, high-angle, syndepositional normal and reverse faults. Erosion of the sequence-bounding unconformities took place during uplift associated with basin inversion. Alternation of uplift and subsidence and the juxtaposition of intrabasinal reverse and normal faults is typical of strike-slip basins. We interpret the Glance Conglomerate in the Santa Rita Mountains as the fi ll of an intra-arc strike-slip basin where strike-slip deformation was concentrated along the thermally weakened arc axis. We suggest a model for the Bisbee Basin of a strain-partitioned, obliquely convergent continental arc with backarc extension-transtension.
PKCδ inhibition as a novel medical countermeasure for radiation‐induced vascular damage

In the event of a radiologic catastrophe, endothelial cell and neutrophil dysfunction play important roles in tissue injury. Clinically available therapeutics for radiation‐induced vascular injury are largely supportive. PKCδ was identified as a critical regulator of the inflammatory response, and its inhibition was shown to protect critical organs during sepsis. We used a novel biomimetic microfluidic assay (bMFA) to interrogate the role of PKCδ in radiation‐induced neutrophil‐endothelial cell interaction and endothelial cell function. HUVECs formed a complete lumen in bMFA and were treated with 0.5, 2, or 5 Gy ionizing radiation (IR). At 24 h post‐IR, the cells were treated with a PKCδ inhibitor for an additional 24 h. Under physiologic shear flow, the role of PKCδ on endothelium function and neutrophil adherence/migration was determined. PKCδ inhibition dramatically attenuated IR‐induced endothelium permeability increase and significantly decreased neutrophil migration across IR‐treated endothelial cells. Moreover, neutrophil adhesion to irradiated endothelial cells was significantly decreased after PKCδ inhibition in a flow‐dependent manner. PKCδ inhibition downregulated IR‐induced P‐selectin, intercellular adhesion molecule 1, and VCAM‐1 but not E‐selectin overexpression. PKCδ is an important regulator of neutrophil‐endothelial cell interaction post‐IR, and its inhibition can serve as a potential radiation medical countermeasure. —Soroush, F. , Tang, Y. , Zaidi, H. M. , Sheffield, J. B. , Kilpatrick, L. E. , Kiani, M. F. PKCδ inhibition as a novel medical countermeasure for radiation‐induced vascular damage. FASEB J. 32, 6436–6444 (2018). www.fasebj. org
Image encryption based on cell shuffling and scanning techniques

In current time, multimedia technologies are created altogether. Information containing sound, video and images exchanges over the web is open and not secure. Security is required for storing and transmission of digital images to avoid from unauthorized entities. This paper presents the novel approach using cell shuffling and scanning techniques for image encryption. The proposed method contain two stage, first divide the image in to number of blocks and then shuffled the original image and in second stage the spiral wave scan pattern are applied to get encrypted image. A number of parameters, like correlation coefficient, information entropy, PSNR, MSE, number of pixels change rate, average intensity and unified average change intensity etc., are used to check the quality of cipher image.
BESS life span evaluation in terms of battery wear through operation examples of BESS for frequency regulation

Recently the application of frequency control using Battery Energy Storage System(BESS) has gained research interest due to the benefits of BESS. As such electric companies such as Korea Electric Power Corporation(KEPCO) has adopted this in their operation schemes. Most researches pertaining battery life assessment techniques do not take into account factors that cause deterioration. In this paper, we estimate battery life from the viewpoint of capacity through operational data of BESS for Frequency Regulation(FR). Also, the lifetime of the BESS is evaluated considering wear. The wear cost of each operation mode is derived by introducing a Wear Density Function reflecting factors of C-rate, temperature, and DOD.