Miracle-dz/UniFAR-FTUs huggingface dataset:
Futsch/MAP1B mRNA Is a Translational Target of TDP-43 and Is Neuroprotective in a Drosophila Model of Amyotrophic Lateral Sclerosis

TDP-43 is an RNA-binding protein linked to amyotrophic lateral sclerosis (ALS) that is known to regulate the splicing, transport, and storage of specific mRNAs into stress granules. Although TDP-43 has been shown to interact with translation factors, its role in protein synthesis remains unclear, and no in vivo translation targets have been reported to date. Here we provide evidence that TDP-43 associates with futsch mRNA in a complex and regulates its expression at the neuromuscular junction (NMJ) in Drosophila. In the context of TDP-43-induced proteinopathy, there is a significant reduction of futsch mRNA at the NMJ compared with motor neuron cell bodies where we find higher levels of transcript compared with controls. TDP-43 also leads to a significant reduction in Futsch protein expression at the NMJ. Polysome fractionations coupled with quantitative PCR experiments indicate that TDP-43 leads to a futsch mRNA shift from actively translating polysomes to nontranslating ribonuclear protein particles, suggesting that in addition to its effect on localization, TDP-43 also regulates the translation of futsch mRNA. We also show that futsch overexpression is neuroprotective by extending life span, reducing TDP-43 aggregation, and suppressing ALS-like locomotor dysfunction as well as NMJ abnormalities linked to microtubule and synaptic stabilization. Furthermore, the localization of MAP1B, the mammalian homolog of Futsch, is altered in ALS spinal cords in a manner similar to our observations in Drosophila motor neurons. Together, our results suggest a microtubule-dependent mechanism in motor neuron disease caused by TDP-43-dependent alterations in futsch mRNA localization and translation in vivo.
Unified Grey Relational Analysis on Transformer DGA Fault Diagnosis

Power transformer is one of the most important equipment in the electric system. Dissolved Gases Analysis is an important method in the diagnosis of internal fault of transformers. Because the signs and types of fault have complicated nonlinear relations, the traditional methods can not exactly meet the requirements of engineer application. This paper proposes synthesis of relational grey incidence to analyze the comparability and the proximity of the sequence, which can effectively diagnose the type of transformer faults.
Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems

This paper proposes a new adaptive least-significant- bit (LSB) steganographic method using pixel-value differencing (PVD) that provides a larger embedding capacity and imperceptible stegoimages. The method exploits the difference value of two consecutive pixels to estimate how many secret bits will be embedded into the two pixels. Pixels located in the edge areas are embedded by a k-bit LSB substitution method with a larger value of k than that of the pixels located in smooth areas. The range of difference values is adaptively divided into lower level, middle level, and higher level. For any pair of consecutive pixels, both pixels are embedded by the k-bit LSB substitution method. However, the value k is adaptive and is decided by the level which the difference value belongs to. In order to remain at the same level where the difference value of two consecutive pixels belongs, before and after embedding, a delicate readjusting phase is used. When compared to the past study of Wu et al.'s PVD and LSB replacement method, our experimental results show that our proposed approach provides both larger embedding capacity and higher image quality.
Mixing Oscillators for Phase Noise Reduction

The output of oscillators is usually not stable over time. In particular, phase variations-or phase noise-corrupts the oscillations. In this letter, we describe a circuit that is designed to average the phase noise processes and frequency offsets in frequency-matched oscillators. The basic circuit uses the independence of two phase noise processes to provide a cleaner oscillating output with a lower phase noise variance. We describe extensions of the circuit designed to average out more than two oscillators, as well as a single one through delay elements. In all the examples covered, we provide a theoretical analysis of the resulting phase noise process when the input phase noise processes follow a Wiener model.
Statechart testing method for aircraft control systems

A number of current control systems for aircraft have been specified with statecharts. The risk of failures requires the use of a formal testing approach to ensure that all possible faults are considered. However, testing the compliance of an implementation of a system to its specification is dependent on the specification method and little work has been reported relating to the use of statechart‐specific methods. This paper describes a modification of a formal testing method for extended finite‐state machines to handle the above problem. The method allows one to demonstrate correct behaviour of an implementation of some system, with respect to its specification, provided certain specific requirements for both of them are satisfied. The case study illustrates these and shows the applicability of the method. By considering the process used to develop the system it is possible to reduce the size of the test set dramatically; the method to be described is easy to automate. Copyright © 2001 John Wiley & Sons, Ltd.
High Fmax GaN-HEMT with High Breakdown Voltage for Millimeter-Wave Applications

The state-of-the-art GaN high electron mobility transistors (GaN-HEMTs) technology for millimeter-wave amplifiers is described in this paper. A high maximum frequency of an oscillation (fmax) device with high breakdown voltage (BVgd) was focused on to improve the gain, efficiency, and reliability of the millimeter-wave amplifier. In this study, we demonstrated a high fmax of 180 GHz with a BVgd of 190 V using a novel Y-shaped Schottky gate and n-type doped GaN cap structure. The effects of the AlGaN layer, device dimensions, and sheet resistance were investigated to obtain a highly reliable W- band power amplifier. Index Terms — Semiconductor devices, Millimeter-wave FETs, power amplifiers.
Broadband mm-wave signal generation and amplification in CMOS using synthetic impedance

This thesis explores the concept of synthesizing tunable impedances by establishing the appropriate phase relationship between the drain voltage and drain current of a MOS transistor. A high frequency, wide tuning range 105-121GHz oscillator and a small-footprint 20-40GHz oscillator using synthetic resonance are presented. The concept of impedance synthesis is also used to generate a novel frequency-adaptive loss compensation scheme for distributed amplifiers which is shown to improve the bandwidth by 30%. The performance of these circuits was analyzed and simulated on a TSMC 65nm bulk CMOS process. Thesis Supervisor: Ruonan Han Title: Assistant Professor
The Role of Maxims in The Process of Investigations: A Case Study in Situbondo Resort Police Office

This study aims to reveal the role of maxim in the conversation between the investigators and suspects in giving information during the making of investigation reports in Situbondo police office. This is an interdisciplinary linguistic research that utilizes linguistic and pragmatic disciplines. The theory used to analyze the data in this study is the theory of speech acts initiated by Searle. This is a qualitative descriptive research, and it produces deep descriptions of the words, writings, and behaviors that can be observed from a specific individual, group, society, or organization in a particular context that is holistically studied. The result of this research is the role of maxim in the process of investigation and the degree of the trustworthiness.
Crossing sexual barriers: Predictors of sexual guilt and sexual anxiety among young Canadian and American Muslim adults

Abstract:The current study tested two exploratory path models predicting sexual guilt and sexual anxiety in young Muslims adults living in Canada and the United States. Using path analysis, I examined the joint influence of background (religiosity, perceived parental sexual attitudes, and gender) and attitudinal (sexual attitudes, gender role attitudes, and sexual double standard) factors on sexual guilt and sexual anxiety. Surveys were completed by 403 Canadian and American young heterosexual Muslim adults (ages 17–35). Most participants (79.4%) were women, approximately one-third of the participants were born outside Canada or the United States, and half identified as students. Most participants identified as either South Asian (43.1%) or Arab (25.1%) and the majority had either an undergraduate (32.3%) or graduate (37.2%) degree. In the final two path models, religiosity both directly and indirectly predicted sexual guilt and anxiety while sexual attitudes, belief in the sexual double standard, and gender role attitudes partially mediated this relationship. Gender role attitudes were strongly related to participants' support for the sexual double standard, while gender was not a predictor of sexual guilt or anxiety. Perceived parental attitudes had no predictive value, possibly being redundant with religiosity. The path models revealed complex and interesting relationships between the variables which have various implications for young Muslim adults as well as the practitioners who work with them.
The dark side of DEMMON: what is behind the scene in engineering large-scale wireless sensor networks

Most research work on WSNs has focused on protocols or on specific applications. There is a clear lack of easy/ready-to-use WSN technologies and tools for planning, implementing, testing and commissioning WSN systems in an integrated fashion. While there exists a plethora of papers about network planning and deployment methodologies, to the best of our knowledge none of them helps the designer to match coverage requirements with network performance evaluation. In this paper we aim at filling this gap by presenting an unified toolset, i.e., a framework able to provide a global picture of the system, from the network deployment planning to system test and validation. This toolset has been designed to back up the EMMON WSN system architecture for large-scale, dense, real-time embedded monitoring. It includes network deployment planning, worst-case analysis and dimensioning, protocol simulation and automatic remote programming and hardware testing tools. This toolset has been paramount to validate the system architecture through DEMMON1, the first EMMON demonstrator, i.e., a 300+ node test-bed, which is, to the best of our knowledge, the largest single-site WSN test-bed in Europe to date.
Effects of Ritonavir-Boosted Darunavir, Atazanavir and Lopinavir on Adipose Functions and Insulin Sensitivity in Murine and Human Adipocytes

Background Ritonavir-boosted protease inhibitors (PIs) could adversely affect metabolism and adipose tissue to different extents, depending on the molecule. Using drugs with minimal adverse metabolic effects is an important consideration in at-risk HIV-infected patients. In vitro adipocyte models can be useful for comparing the effects of different PIs. Methods We compared the effects of darunavir, darunavir/ritonavir, atazanavir/ritonavir and lopinavir/ritonavir in murine and human adipocytes on differentiation, mitochondrial function, reactive oxygen species (ROS) production and insulin sensitivity. Results In human and murine adipocytes, differentiation evaluated by lipid content and protein expression of adipogenic markers, mitochondrial function evaluated by aggregation of the cationic dye JC-1 and by 3-[4,5-dimethyl-thiazol-2-yl]-2,5 diphenyltetrazolium bromide lysis, and mitochondrial mass evaluated by MitoTracker fluorescence and the expression of mitochondrial proteins were unaffected by darunavir, mildly affected by darunavir/ritonavir and further altered by atazanavir/ritonavir and lopinavir/ ritonavir. ROS production was unaltered by darunavir and darunavir/ritonavir but was increased by lopinavir/ritonavir and atazanavir/ritonavir. Regarding insulin sensitivity, darunavir and darunavir/ritonavir had no significant effect on insulin activation of protein kinase B (Akt/PKB) and MAP kinase and of glucose transport, whereas lopinavir/ ritonavir and atazanavir/ritonavir partly impaired the effect of insulin. The effect of atazanavir/ritonavir was generally milder than that of lopinavir/ritonavir. Conclusions The various PIs differentially modified adipocyte functions. Darunavir alone did not affect adipocyte functions and only modestly altered differentiation and mitochondrial function when associated with ritonavir. Lopinavir/ritonavir adversely affected differentiation and lipid content, mitochondrial function, ROS production and insulin sensitivity, and the effect of atazanavir/ ritonavir was intermediate. Thus, in vitro, darunavir/ritonavir presented a safer metabolic profile on adipocytes than atazanavir/ritonavir and lopinavir/ritonavir.
A Comparative Study on Cloud Gaming Platforms

Cloud computing has provided multiple challenges to software and infrastructure services. In order to maximize the benefits of resource consolidation, most cloud providers only offer general purpose computing resources that are located in a relatively small number of large data enters. Furthermore, many cloud data center locations are chosen to minimize cooling and electricity costs, rather than to minimize latency to end-users. Unfortunately, these architectural decisions are in conflict with the needs of an emerging class of multimedia applications that is interactive, and requires specialized hardware resources. Recently, a new type of cloud service has been introduced, which may have the most stringent demands on network QoS to date: cloud gaming. In this survey paper, we conduct a systematic analysis of state-of-the-art cloud gaming platforms, and compare some of this platforms.
Multitask Learning and the Reorganization of Work: From Tayloristic to Holistic Organization

This article analyzes an important aspect of the contemporary reorganization of work within firms: the shift from “Tayloristic” organization (characterized by specialization by tasks) to “holistic” organization (featuring job rotation, integration of tasks, and learning across tasks). We examine four driving forces behind this restructuring process: advances in production technologies promoting technological task complementarities, advances in information technologies promoting informational task complementarities, changes in worker preferences in favor of versatile work, and advances in human capital that make workers more versatile. Our analysis also helps explain the recent widening of wage differentials and disparities in job opportunities within narrowly defined groups.
Dynamic service policy-based clustered wireless sensor networks

Energy is one of the main obstacles to deploying wireless sensor networks (WSNs) because tiny sensor nodes cannot accommodate sufficient energy for achieving the desired level of usage. The clustering protocols of wireless sensor network attain the acme popularity among researchers because of effective usage clustering concepts based on locality and the election of a cluster head for each of them. We derive motivation from energy saving clustering schemes and propose an enhancement by saving energy and prolonging the lifetime of a sensor network significantly. The Low Energy Adaptive Clustering Hierarchy (LEACH) achieves popularity for its simplicity and applicability in WSNs. A large number of works exist that modify LEACH to strengthen the applicability of this scheme in practice, but only limited to the cluster set-up phase. In this paper, we observe a major problem that exists in all of the clustering protocols based on LEACH. That is, LEACH and its variants encounter premature death of cluster heads because data transmission time of each cycle of communication is fixed. Our proposed dynamic service policy-based scheme decreases the premature death of cluster heads and packet loss significantly.
Agent-based trace learning in a recommendation-verification system for cybersecurity

Agents in a social-technological network can be thought of as strategically interacting with each other by continually observing their own local or hyperlocal information and communicating suitable signals to the receivers who can take appropriate actions. Such interactions have been modeled as information-asymmetric signaling games and studied in our earlier work to understand the role of deception, which often results in general loss of cybersecurity. While there have been attempts to model and check such a body of agents for various global properties and hyperproperties, it has become clear that various theoretical obstacles against this approach are unsurmountable. We instead advocate an approach to dynamically check various liveness and safety hyperproperties with the help of recommenders and verifiers; we focus on empirical studies of the resulting signaling games to understand their equilibria and stability. Agents in such a proposed system may mutate, publish, and recommend strategies and verify properties, for instance, by using statistical inference, machine learning, and model checking with models derived from the past behavior of the system. For the sake of concreteness, we focus on a well-studied problem of detecting a malicious code family using statistical learning on trace features and show how such a machine learner - in this study a classifier for Zeus/Zbot - can be rendered as a property, and then be deployed on endpoint devices with trace monitors. The results of this paper, in combination with our earlier work, indicate the feasibility and way forward for a recommendation-verification system to achieve a novel defense mechanism in a social-technological network in the era of ubiquitous computing.
The Challenge of Cardiovascular Diseases and Diabetes to Public Health: A Study Based on Qualitative Systemic Approach

The most common modeling approaches to understanding incidence, prevalence and control of chronic diseases in populations, such as statistical regression models, are limited when it comes to dealing with the complexity of those problems. Those complex adaptive systems have characteristics such as emerging properties, self-organization and feedbacks, which structure the system stability and resistance to changes. Recently, system science approaches have been proposed to deal with the range, complexity, and multifactor nature of those public health problems. In this paper we applied a multilevel systemic approach to create an integrated, coherent, and increasingly precise conceptual framework, capable of aggregating different partial or specialized studies, based on the challenges of the Longitudinal Study of Adult Health – ELSA-Brasil. The failure to control blood pressure found in several of the study's subjects was discussed, based on the proposed model, analyzing different loops, time lags, and feedback that influence this outcome in a population with high educational level, with reasonably good health services access. We were able to identify the internal circularities and cycles that generate the system’s resistance to change. We believe that this study can contribute to propose some new possibilities of the research agenda and to the discussion of integrated actions in the field of public health.
A new modified broadband asymmetric Doherty power amplifier

A new design using a single peaking power amplifier to modify multi-way peaking power amplifiers to realize multi-way asymmetric Doherty structure is presented in this paper. Compared with three-way Doherty power amplifier(DPA), the proposed asymmetric DPA shows higher efficiency at output power back-off range in a wide frequency band. The measured drain efficiency of 55 ~ 66% over 700 MHz at 6-8 dB output power back-off and 35 ~ 45 % at 10dB output power back-off(OBO) are achieved. Continuous wave(CW) signal measurement at 2.4 GHz exhibits a drain efficiency of 55% at 6dB OBO, 50% at 8 dB OBO and 41 % at 10dB OBO, respectively. It indicate a nice performance of the broadband DPA in large back-off range.
Relationship Between Functional Movement Screen and Some Athletic Abilities in Karate Athletes

In karate athletes, quality of movement and trunk control are important factors. Power output that is performed in short time requires functional movement capabilities. It’s quite important to know that which athletic abilities are related to functional movement. Due to this concern, the aim of the study was to examine relationship between functional movement screen (FMS) and some athletic abilities.20 male, 12 female karate athletes (Blue or higher belts; age: 16,06±0,9 years; training age: 7,5±1,1 years; weight: 63,06±11,6 kg; height: 171,9±6,1 cm) voluntarily participated in the study. Measurements have been taken on non-consecutive days in Functional Movement Screen (FMS) test battery, core stabilization test battery, back-leg extension isometric strength (BS), handgrip strength (HS), flexibility (S&R) and vertical jumping (SJ). The results showed that there is the significant relationship between FMS and S&R, SJ, core stabilization (p<0.01), and BS (p<0.05). There is no the significant correlation between HS. Due to the relationship between FMS Score and core stabilization, S&R, SJ and BS.It’s recommended practicing all these abilities to increase the quality of movement. Likewise, functional movement levels should be increased to perform better these athletic abilities.
Liberouter: Towards autonomous neighborhood networking

We present the Liberouter framework, a complete communication system design (and its implementation) to enable neighborhood networking without relying on the Internet infrastructure for information exchange. The core is a low-cost router platform that serves as WLAN access points, individual or (dis)connected ones, and offers message storage and relaying in combination with a distributed app store. It allows bootstrapping Android devices to become additional routers (and thus expand the network) and install applications. It also instruments other mobile devices to assist in message forwarding and offers web-based access to content of the neighborhood stored locally.
A Modified Harmony Search for Multi-mode Resource Constrained Project Scheduling Problem

A harmony search is modified to optimize typical multi-mode resource constrained project scheduling problem, which aims to minimize the project make span. In order to inherit elitist solution and maintain population's diversity based on distance simultaneously, we add a selection operator when the harmony memory is initialized and modify the replacement operator. A new solution can be improvised by three options, i.e. usage of harmony memory, pitch adjusting and randomization. The first option is adjusted to select solutions from harmony memory based on average objective value, and the second is only to justify mode selection. Finally, the harmony search is compared with the genetic algorithm which has better performance. The numerical experiments based on benchmark test sets of 20 and 30 activities with three modes show that harmony search can obtain high-quality and robust solutions.