Miracle-dz/UniFAR-FTUs huggingface dataset:
ß-catenin signaling is required for RAS-driven thyroid cancer through PI3K activation

Mutations in ß-catenin are traditionally described as late events in thyroid cancer progression. However, the functional implications of ß-catenin dysregulation in the context of tumor initiating events remain unclear. The aim of this work was to investigate whether the two main oncogenic drivers in thyroid cancer, RAS and BRAF, could activate the Wnt/ß-catenin pathway. Expression of HRASV12 but not BRAFV600E in thyroid cells induced ß-catenin nuclear localization, increased ß-catenin-dependent transcriptional activity and inhibited GSK3ß. In a panel of human thyroid cancer cell lines representative of the main genetic events in thyroid cancer, ß-catenin activation was highly dependent on PI3K/AKT activity through its phosphorylation at S552, but not on MAPK. Silencing of ß-catenin expression in cell lines led to a dramatic reduction in proliferation due to an induction of senescence, which was concordant with a reduction in tumor size in nude mice. Moreover, ß-catenin silencing suppressed the expression of EMT-related genes and reduced the invasive capacity of the tumor cells. In conclusion, this work demonstrates that RAS-driven tumors induce PI3K/AKT-dependent ß-catenin activation.
Improved Regularity Model-Based EDA for Many-Objective Optimization

The performance of multiobjective evolutionary algorithms deteriorates appreciably in solving many-objective optimization problems (MaOPs) which encompass more than three objectives. One of the known rationales is the loss of selection pressure which leads to the selected parents not generating promising offspring toward Pareto-optimal front (PF) with diversity. Estimation of distribution algorithms sample new solutions with a probabilistic model built from the statistics extracting over the existing solutions so as to mitigate the adverse impact of genetic operators. In this paper, an improved regularity-based estimation of distribution algorithm is proposed to effectively tackle unconstrained MaOPs. In the proposed algorithm, diversity repairing mechanism is utilized to mend the areas, where need nondominated solutions with a closer proximity to the PF. Then favorable solutions are generated by the model built from the regularity of the solutions surrounding a group of representatives. These two steps collectively enhance the selection pressure which gives rise to the superior convergence of the proposed algorithm. In addition, dimension reduction technique is employed in the decision space to speed up the estimation search of the proposed algorithm. Finally, by assigning the Pareto-optimal solutions to the uniformly distributed reference vectors, a set of solutions with excellent diversity and convergence is obtained. To measure the performance, NSGA-III, GrEA, MOEA/D, HypE, MBN-EDA, and RM-MEDA are selected to perform comparison experiments over DTLZ and DTLZ− test suites with 3-, 5-, 8-, 10-, and 15-objective. Experimental results quantified by the selected performance metrics reveal that the proposed algorithm shows considerable competitiveness in addressing unconstrained MaOPs.
Towards the Development of Computational Tools for Evaluating Phylogenetic Network Reconstruction Methods

We report on a suite of algorithms and techniques that together provide a simulation flow for studying the topological accuracy of methods for reconstructing phylogenetic networks. We implemented those algorithms and techniques and used three phylogenetic reconstruction methods for a case study of our tools. We present the results of our experimental studies in analyzing the relative performance of these methods. Our results indicate that our simulator and our proposed measure of accuracy, the latter an extension of the widely used Robinson-Foulds measure, offer a robust platform for the evaluation of network reconstruction algorithms.
MD Simulation of the Crystal Morphology of β-HMX Affected by NTO,FOX-7 and RDX

The crystal growth morphology of β-HMX was simulated using a molecular dynamics(MD) method and Material Studio software.A double-layer structure model was used to simulate the effect of insensitive energetic compounds NTO,FOX-7 and RDX on β-HMX crystal morphology,as well as their coating role on β-HMX crystal.The results show that three types of molecules can be attached to the grown crystal face of β-HMX,of which FOX-7 can be evenly attached to the β-HMX crystal face,expecting to achieve high energy-insensitive coating,but having a little influence on β-HMX crystal morphology.NTO and RDX molecules have different bonding energy on each β-HMX crystal face,so they can control the HMX crystal morphology to some extent,of which,RDX can make β-HMX tend to spherical crystal morphology.
Drp1/Fis1 interaction mediates mitochondrial dysfunction, bioenergetic failure and cognitive decline in Alzheimer's disease

Mitochondrial dynamics, involving a balance between fusion and fission, regulates mitochondrial quality and number. Increasing evidence suggests that dysfunctional mitochondria play a role in Alzheimer's disease (AD). We observed that Drp1 interaction with one of the adaptors, Fis1, is significantly increased in Aβ-treated neurons and AD patient-derived fibroblasts. P110, a seven-amino acid peptide, which specifically inhibits Drp1/Fis1 interaction without affecting the interaction of Drp1 with its other adaptors, attenuated Aβ42-induced mitochondrial recruitment of Drp1 and prevented mitochondrial structural and functional dysfunction in cultured neurons, in cells expressing mutant amyloid precursor protein (KM670/671NL), and in five different AD patient-derived fibroblasts. Importantly, sustained P110 treatment significantly improved behavioral deficits, and reduced Aβ accumulation, energetic failure and oxidative stress in the brain of the AD mouse model, 5XFAD. This suggests that Drp1/Fis1 interaction and excessive mitochondrial fission greatly contribute to Aβ-mediated and AD-related neuropathology and cognitive decline. Therefore, inhibiting excessive Drp1/Fis1-mediated mitochondrial fission may benefit AD patients.
Undetected post-traumatic stress disorder in secondary-care mental health services: systematic review

Background Comorbid post-traumatic stress disorder (PTSD) is associated with poorer outcomes of other disorders, but is treatable. Aims To estimate the frequency of clinically undetected PTSD in secondary care. Method A systematic review of studies that screened for PTSD and reported on PTSD documentation in clinical records. Frequency of undetected PTSD was estimated, and reasons for heterogeneity explored. Results The median proportion of participants with undetected PTSD (29 studies) was 28.6% (interquartile range 18.2–38.6%). There was substantial heterogeneity, with studies conducted in the USA and those with the highest proportions of in-patients and patients with psychotic disorder reporting higher frequencies of undetected PTSD. Conclusions Undetected PTSD is common in secondary care, even if the true value is at the lower limit of the estimates reported here. Trials examining the impact of routine screening for PTSD are required to determine whether such programmes should be standard procedure for all mental health services. Declaration of interest None.
Nonlinear Disturbance Observer-Based Dynamic Surface Control of Mobile Wheeled Inverted Pendulum

In this brief, a dynamic model of a mobile wheeled inverted pendulum (MWIP) system is improved considering friction forces, and a nonlinear disturbance observer (NDO)-based dynamic surface controller is investigated to control the MWIP system. Using a coordinate transformation, this non-Class-I type underactuated system is presented as a semistrict feedback form, which is convenient for dynamic surface controller design. A dynamic surface controller together with an NDO is designed to stabilize the underactuated plant. The proposed approach can compensate the external disturbances and the model uncertainties to improve the system performance significantly. The stability of the closed-loop MWIP system is proved by Lyapunov theorem. Experiment results are presented to illustrate the feasibility and efficiency of the proposed method.
An RFID-Based Smart Structure for the Supply Chain: Resilient Scanning Proofs and Ownership Transfer with Positive Secrecy Capacity Channels †

The National Strategy for Global Supply Chain Security published in 2012 by the White House identifies two primary goals for strengthening global supply chains: first, to promote the efficient and secure movement of goods, and second to foster a resilient supply chain. The Internet of Things (IoT), and in particular Radio Frequency Identification (RFID) technology, can be used to realize these goals. For product identification, tracking and real-time awareness, RFID tags are attached to goods. As tagged goods move along the supply chain from the suppliers to the manufacturers, and then on to the retailers until eventually they reach the customers, two major security challenges can be identified: (I) to protect the shipment of goods that are controlled by potentially untrusted carriers; and (II) to secure the transfer of ownership at each stage of the chain. For the former, grouping proofs in which the tags of the scanned goods generate a proof of “simulatenous” presence can be employed, while for the latter, ownership transfer protocols (OTP) are used. This paper describes enhanced security solutions for both challenges. We first extend earlier work on grouping proofs and group codes to capture resilient group scanning with untrusted readers; then, we describe a modified version of a recently published OTP based on channels with positive secrecy capacity adapted to be implemented on common RFID systems in the supply chain. The proposed solutions take into account the limitations of low cost tags employed in the supply chain, which are only required to generate pseudorandom numbers and compute one-way hash functions.
Long-time Dynamics of Spontaneous Parametric Down-conversion and Quantum Limitations of Conversion Efficiency

Abstract We analyze the long-time quantum dynamics of degenerate parametric down-conversion from an initial sub-harmonic vacuum (spontaenous down-conversion). Standard linearization of the Heisenberg equations of motion fails in this case, since it is based on an expansion around an unstable classical solution and neglects pump depletion. Introducing a mean-field approximation we find a periodic exchange of energy between the pump and subharmonic mode goverened by an anharmonic pendulum equation. From this equation the optimum interaction time or crystal length for maximum conversion can be determined. A numerical integration of the 2-mode Schrödinger equation using a dynamically optimized basis of displaced and squeezed number states verifies the characteristic times predicted by the mean-field approximation. In contrast to semiclassical and mean-field predictions it is found that quantum fluctuations of the pump mode lead to a substantial limitation of the efficiency of parametric down-conversion.
A Comparative Study on the Development of Binary Object Extraction System using Different Self Organizing Neural Network

Accurately Extraction of a binary object from a noisy perspective has been a daunting task in the field of pattern recognition. Several techniques have been tried to optimally solve the problem of denoising of object over the decades. In this paper, different binary object extraction methods are reviewed which are basically guided by different SelfOrganizing Neural Networks (SONN) architectures as BiDirectional Self Organizing Neural Network (BDSONN), multi-Layer Self Organizing neural Network (MLSONN) and quantum version of MLSONN (QMLSONN). The result shows that QMLSONN outperforms over other network architectures in terms of time and also it restores shape of the object with great accuracy.
Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL

Recent developments in High Level Synthesis tools have attracted software programmers to accelerate their high-performance computing applications on FPGAs. Even though it has been shown that FPGAs can compete with GPUs in terms of performance for stencil computation, most previous work achieve this by avoiding spatial blocking and restricting input dimensions relative to FPGA on-chip memory. In this work we create a stencil accelerator using Intel FPGA SDK for OpenCL that achieves high performance without having such restrictions. We combine spatial and temporal blocking to avoid input size restrictions, and employ multiple FPGA-specific optimizations to tackle issues arisen from the added design complexity. Accelerator parameter tuning is guided by our performance model, which we also use to project performance for the upcoming Intel Stratix 10 devices. On an Arria 10 GX 1150 device, our accelerator can reach up to 760 and 375 GFLOP/s of compute performance, for 2D and 3D stencils, respectively, which rivals the performance of a highly-optimized GPU implementation. Furthermore, we estimate that the upcoming Stratix 10 devices can achieve a performance of up to 3.5 TFLOP/s and 1.6 TFLOP/s for 2D and 3D stencil computation, respectively.
Avalanche Multiplication and Breakdown in Al Ga As

Measurements carried out on thick Al Ga As diodes showed that the ionization coefficients of Al Ga As become widely different when and are virtually independent of for . A strong dead space effect is also observed in thick Al Ga As structures with . The breakdown voltage is found to increase at a slower rate with when . Index Terms—Al Ga As, avalanche breakdown, avalanche multipli- cation, impact ionization, ionization coefficients. m for ) and ranging from 0.4 to 0.9 were used in this study. Two Al Ga As layers reported previously (8) are included here for completeness. All p-i-n (n-i-p) structures were grown by conventional solid-source molecular beam epitaxy on n (p ) (100) oriented GaAs substrates. The p-i-n (n-i-p) structures comprise a thin n (p ) GaAs buffer, an n (p )A l Ga As cladding layer, an undoped Al Ga As i-region, a p (n )A l Ga As cladding layer and a thin p (n ) GaAs cap. The p and n cladding layers were nominally between 0.5 m and 1 m thick and were doped with Be and Si respectively to levels of 1-2 10 cm . Table I lists the aluminum fractions, the breakdown voltages and the parameters obtained from modeling the capacitance-voltage profiles of the layers. All layers, except P70a, had windows etched in the substrate so that both electron and hole initiated multiplication characteristics, and respectively, can be measured on the same diode. Excitation light from a laser source was focused to a small spot ( 10 m) on either the top or back cladding layer of the diodes to inject carriers into the high field regions. An increase in the primary photocurrent prior to avalanche multiplication was corrected using the method of Woods et
A 1-D Photonic Band Gap Tunable Optical Filter in (110) Silicon

In this paper, we describe an electrostatically tunable optical bandpass filter that is fabricated in (110) silicon. Deep reactive-ion etching is the main process that is used to fabricate the overall device structure. To create the highly parallel surfaces that are needed for the photonic band gap elements, electrochemical (KOH) etching of the vertical (111) planes is then used. Back etching is used to release the moving parts. Fiber pigtails are attached in etched alignment grooves, and fiber-fiber insertion loss below 11 dB was obtained. The measured passband width was 3 nm with a tuning range of 8 nm.
Comparison of Concussive Symptoms, Cognitive Performance, and Psychological Symptoms Between Acute Blast-Versus Nonblast-Induced Mild Traumatic Brain Injury

Abstract Blast-related head injuries are one of the most prevalent injuries among military personnel deployed in service of Operation Iraqi Freedom. Although several studies have evaluated symptoms after blast injury in military personnel, few studies compared them to nonblast injuries or measured symptoms within the acute stage after traumatic brain injury (TBI). Knowledge of acute symptoms will help deployed clinicians make important decisions regarding recommendations for treatment and return to duty. Furthermore, differences more apparent during the acute stage might suggest important predictors of the long-term trajectory of recovery. This study evaluated concussive, psychological, and cognitive symptoms in military personnel and civilian contractors (N = 82) diagnosed with mild TBI (mTBI) at a combat support hospital in Iraq. Participants completed a clinical interview, the Automated Neuropsychological Assessment Metric (ANAM), PTSD Checklist-Military Version (PCL-M), Behavioral Health Measure (BHM), and Insomnia Severity Index (ISI) within 72 hr of injury. Results suggest that there are few differences in concussive symptoms, psychological symptoms, and neurocognitive performance between blast and nonblast mTBIs, although clinically significant impairment in cognitive reaction time for both blast and nonblast groups is observed. Reductions in ANAM accuracy were related to duration of loss of consciousness, not injury mechanism. (JINS, 2011, 17, 000–000)
Synthesis of Vibration Damping Control Systems based on the Identified Model of a Mechanical Construction at Broadband Disturbance Influence

changing of certain types of energy into other types in machines and mechanisms, the transformation of movement forms and carrying out certain working processes inevitably causes the emergence of variable forces and vibration-causing momentum. Vibration control and management are important tasks in aerospace field. This thesis solves the problem of the development of an effective control system based on the active method used for vibration reduction in a mechanical construction of a cantilever fixed metal plate broadband disturbance lab device. In the system synthesis process a carry out structural and parametric identification of the mathematical model of the controlled object using experimental data. LabVIEW 10.0 development environment and FPGA hardware technology from National Instruments were used to create a spectrum analyzer measurement system, which allows solving problems of experimental acquisition and identification of the dynamic properties of mechanical objects. With the help of MATHLAB environment mathematical apparatus and Optimization and Control System Toolbox packages, a mathematical model of the control object, regulators' synthesis was built; their optimal parameters were searched for, and system operation with different object structures and regulators (PID, LQG) was modeled. Keywordssystem, regulator, PID, LQG, vibration, control object, mathematical model, LabVIEW, MATHLAB.
Discrete time optimal design for voltage prefilter in grid synchronization system from control perspective

The grid synchronization system, which plays an important role in the control of grid-connected power converters, often needs to manipulate the grid voltage to extract the fundamental and harmonic sequence components. Generally a prefilter can achieve this function. In this paper, a systematic and general approach to design the multiple block based prefilter is introduced. First a complex variable discrete resonantor is adopted in the prefilter. Furthermore, the multiple coefficients of the prefilter are tuned by means of minimum energy method with variance constraint from control perspective. The proposed approach is described as an optimal solution in form of linear matrix inequality (LMI). Moreover, the approach is allowed to customize the settling time of the prefilter by designer. In addition, the prefilter yielded from the approach also performs good dynamic performance such as the fast settling time and smooth transient waveforms. The effectiveness and superiority of the proposed approach is verified by the numerical results.
Advances in Design and Self-Assembly of Functionalized LB Films and Supramolecular Gels

The recent progress in functionalized LB films and supramolecular gels varies and occupies various fields. Self-assembly technique is playing an important role in preparing well-defined multilevel nanostructures and the functionalized nanomaterials with the designed and controlled properties. In this chapter, various kinds of functionalized LB films and supramolecular gels, including gold nanoparticles, inorganicorganic hybrid composites, and graphene oxide nanocomposites, have been demonstrated and analyzed. We show main research contributions in recent years in two sections: preparation and self-assembly of some functionalized LB films and preparation and self-assembly of some functionalized supramolecular gels. The above research work may give the potential perspective for the design and preparation of new selfassembly nanomaterials. Future research on preparation of LB films and supramolecular gels will depend on the novel applications and special nanostructures in order to produce novel functional nanomaterials and devices.
Adapting to Life after Hurricane Katrina and the Deepwater Horizon Oil Spill: An Examination of Psychological Resilience and Depression on the Mississippi Gulf Coast

The purpose of this study was to examine relationships among depression, psychological resilience, and other sociodemographic factors of individuals who were highly exposed to Hurricane Katrina in 2005 and the Deepwater Horizon Oil Spill in 2010. A spatially stratified random sample of 294 Mississippi Gulf Coast residents living in close proximity to the Gulf of Mexico were surveyed. Findings indicated that low education attainment, financial hardship, and disaster-related damages increased the likelihood of depression, whereas psychological resilience and having health insurance reduced the odds of depression. Implications for enhancing psychological resilience and increasing access to health insurance are discussed.
Surface skimming bulk waves: a novel approach to acoustic biosensors

Mass loading of the SSBW (surface skimming bulk wave) device results in a composite acoustic device, known as a Love plate, with a shear-horizontal wave guided at the interface of the deposited layer (overlayer) and the SSBW substrate. Two different Love plate composite structures were investigated, one with a silica and one with a poly(methyl)methacrylate overlayer. Insertion loss and phase measurements were used to assess the optimum thickness of each overlayer and the sensitivity of the device to mass loading and viscosity changes. The potential of the device as a liquid-based immunosensor was also demonstrated by following the adsorption of human-immunoglobulin-G (IgG) on the polymer surface and the subsequent binding of anti-human IgG and protein A. <<ETX>>
Temperature Dependence of Faraday Effect-Induced Bias Error in a Fiber Optic Gyroscope

Improving the performance of interferometric fiber optic gyroscope (IFOG) in harsh environments, such as magnetic field and temperature field variation, is necessary for its practical applications. This paper presents an investigation of Faraday effect-induced bias error of IFOG under varying temperature. Jones matrix method is utilized to formulize the temperature dependence of Faraday effect-induced bias error. Theoretical results show that the Faraday effect-induced bias error changes with the temperature in the non-skeleton polarization maintaining (PM) fiber coil. This phenomenon is caused by the temperature dependence of linear birefringence and Verdet constant of PM fiber. Particularly, Faraday effect-induced bias errors of two polarizations always have opposite signs that can be compensated optically regardless of the changes of the temperature. Two experiments with a 1000 m non-skeleton PM fiber coil are performed, and the experimental results support these theoretical predictions. This study is promising for improving the bias stability of IFOG.