Miracle-dz/UniFAR-FTUs huggingface dataset:
Trumpism as an Alternative Look at the Great America

The article analyzes the phenomenon of “Trumpism,” which brought hopes for its renewal and expectation of changes into traditional American politics. “Trumpism” swung at the power of the Deep State and showed America that it is historically, mentally, culturally, and economically fragmented. The paternalism of American democrats toward a certain part of the country’s population, which Trump positions as “communism,” opposes the true America, which is personified by the states of the “rusty belt” and its working class. “Trumpism” sees the true rebirth of America in a policy of sound national egoism and in America’s focus on itself. For opponents of President Donald Trump, his return to power means another immersion of the ruling elite in the fight against many unknown things, when the political “behind the scenes” has already come out of the shadows and has shown its actual goals.
The Algorithm of Acoustic Location for Boiler Tube Leakage

The time delay estimation algorithm based on generalized cross correlation, can suppress the noise power effectively. More accurate result can be gotten by this method of time delay estimation. It is proved by simulation and experimentation that the estimated value of time delay given by generalized cross correlation method is more accurate than which is given by basic correlation method when the signal and noise ratio is stationary, thus the location result based on the time delay is more accurate.
Load balancing - node transfer trade-off in reconfigurable WDM networks

When the traffic demand changes in single-hop WDM broadcast and select networks, the load can become unbalanced. This situation leads to poor resource utilisation and the wavelength assignment (WLA) requires reconfiguring to maintain a balanced load. The problem of reconfiguring the wavelength assignment in single-hop WDM networks is considered here. Topologies used in the study are passive star and bus networks, and all nodes in the network are assumed equipped with fast tunable transmitters (FTTs) and slowly tunable receivers (STRs). When reconfiguring the WLA according to the new traffic demand, it is important to reduce the number of receivers that need to be retuned to provide low disruption to the network traffic and thus correspondingly reduce the periods when the network operation is suspended during the retuning. The trade-off here is thus between the number of node transfers and the degree of network load balance. A new WLA reconfiguration algorithm is introduced, the one direction transfer (1DT) algorithm, which provides a low number of retunings and an excellent load balance. The 1DT algorithm transfers a group of nodes from the highest loaded channels to the lowest loaded channels. A comparison between the proposed algorithm and previous algorithms found in the literature is carried out to demonstrate the efficiency of the proposed algorithm.
Time Delay Estimation Using Thie Cross-bispectrum

The cross bispectrum phase can be effectively used to estimate the time required for a non-Gaussian signal to propagate between a pair of spatially separated sensors in the presence of highly correlated Gaussian noise. In this paper we present a consistent estimator of the phase of the cross bispectrum, derive the exact distribution of the phase of a complex Gaussian sample bispectrum, and show that in most cases the exact distribution can be approximated by a Gaussian distribution. Using this Gaussian approximation, we derive the variance of the time delay estimate computed from the sample cross bispectrum of a signal in additive correlated noise. This results allows the performance of time delay estimators based on the cross bispectrum phase to be quantified as a function of the sample size, the skewness of the signal, the signal-to-noise ratio (SNR), and the noise correlation.
Governing through consensus? The European Semester, soft power and education governance in the EU

This paper discusses the workings of the European Semester (ES) in relation to the policy field of education. My study shows how the ES enables the steering of education policy through encouraging specific economic and employment-related actions by European Union (EU) member states. With a focus on the relationship between the EU institutions and member states, this paper examines how the ES discursively promotes certain approaches to education through country-specific recommendations (CSRs). In this study, CSRs are revealed as policy spaces where European and national interests are brought together, enabling shared problem definition and collective learning. The paper illustrates how policy moves through translation and negotiation in the construction of CSR. The evidence drawn on here comes from analysis of CSRs in 2011–2016 and 15 semi-structured interviews with key policy actors, mainly from the European Commission, Council and Parliament. This paper concludes that CSRs work through soft power to manage governing tensions through translation and by building convergence and consensus. The analysis is framed theoretically by research on governing and knowledge and draws on a social constructivist perspective on policy work.
The Endoplasmic Reticulum-Mitochondria Encounter Structure and its Regulatory Proteins

In fungi, the endoplasmic reticulum-mitochondria encounter structure (ERMES) is present between the endoplasmic reticulon (ER) and mitochondria to promote the formation of the ER-mitochondria contact sites. Four constitutive components (Mmm1, Mdm12, Mdm34, and Mdm10) assemble to form the ERMES complex while regulator proteins are required for regulating the organization and function of the ERMES complex. Multiple regulator proteins, including Gem1, Lam6, Tom7, and Emr1, of the ERMES complex, have been identified recently. In this review, we discuss the organization of the ERMES complex and the roles of the regulator proteins of the ERMES complex.
Dual output three-level boost power factor correction converter with unbalanced loads

In this paper, a control strategy for three-level boost power factor correction converter with fully regulated two outputs is proposed. Beyond two outputs which are completely regulated, a switching logic law is established to minimize the input current ripple. Besides the features of the three-level boost power converter already known, the proposed approach has the advantage of regulating two output voltages for unbalanced loads, guaranteeing voltage sharing across the semiconductor device independent of the load, based on a Lyapunov-like technique. The robustness of the feedback control system is investigated, and experimental results are reported.
Neutrophil Extracellular Traps (NETs) in Cancer Metastasis

Simple Summary Neutrophil Extracellular Traps (NETs) are formed following the activation of neutrophils and play an important role in the development of cancer, especially metastatic disease. In this review, we will portray the role of Neutrophils/NETs in the tumor microenvironment and circulation. We will furthermore discuss the role of neutrophil reverse migration, NET-mediated pre-metastatic niche formation, and possible treatment strategies to decrease metastatic cascade. Abstract Metastasis is the leading cause of cancer related morbidity and mortality. The metastatic process involves several identifiable biological stages, including tumor cell dissemination, intravasation, and the extravasation of circulating cancer cells to facilitate colonization at a distant site. Immune cell infiltration and inflammation within the tumor microenvironment coincide with tumor progression and metastatic spread and are thought to be the key mediators of this complex process. Amongst many infiltrating cells, neutrophils have recently emerged as an important player in fueling tumor progression, both in animal models and cancer patients. The production of Neutrophil Extracellular Traps (NETs) is particularly important in the pathogenesis of the metastatic cascade. NETs are composed of web-like DNA structures with entangled proteins that are released in response to inflammatory cues in the environment. NETs play an important role in driving tumor progression both in experimental and clinical models. In this review, we aim to summarize the current advances in understanding the role of NETs in cancer, with a specific focus on their role in promoting premetastatic niche formation, interaction with circulating cancer cells, and in epithelial to mesenchymal transition during cancer metastasis. We will furthermore discuss the possible role and different treatment options for targeting NETs to prevent tumor progression.
ALADDIN: the 1024x1024 InSb array--design, description, and results

Seven Aladdin sensor chip assemblies (SCAs) have been produced and nine more are in production. In this paper we cover the design, description, and measured performance of the Aladdin SCA. At over 7.5 square cm Aladdin is the largest single chip infrared array in use today. It is a hybrid assembly made up from an InSb detector coupled, via indium bumps, to a silicon readout. An array of this size is only possible because the InSb detector material is thinned to less than 10 microns which allows it to accommodate the InSb/silicon thermal mismatch. The Aladdin development program is a success and the resulting devices met most of the original design goals. Experience with Aladdin I led to improvements in the readout multiplexer design and, with these changes, we expect to meet the remaining goals. The new readouts have completed processing but testing has just started. The ALADDIN program is a joint collaboration between the National Optical Astronomy Observatories (NOAO) and the U.S. Naval Observatory (USNO) with Santa Barbara Research Center (SBRC).
Energy loss reduction by critical switches

A systematic method to derive an optimal switching plan to achieve energy loss minimization for short term and long term operation of distribution systems is presented. The short term optimal switching criterion is developed by binary integer programming with a branch and bound technique. An overall optimization problem is formulated for the optimal switching operation. It is further divided into several subproblems to find the largest energy loss reduction among all possible switching operations between two feeders. A quick method is applied to estimate the largest loss reduction for each feeder-pair in the distribution system during short term switching operation. The composite load profile of each feeder is derived by field tests over a one year period. After determining the hourly optimal network configuration by taking into the account the typical daily load patterns for all the distributed feeders, the long term optimal criterion for each season is derived and the corresponding critical switches are determined. >
MACROSTRUCTURAL CHARACTERISTICS OF STARCH ACETATE EXTRUDED WITH NATURAL FIBERS

Starch acetate was extruded with wood fiber, oat fiber, and cellulose in a C.W. Brabender twin-screw laboratory extruder at 160.C barrel temperature and 225 rpm screw speed. Ethanol was used as a blowing agent. Starch acetate-fiber foams were subjected to a post-extrusion steaming process to recover or re-expand the collapsed cells after exiting the die nozzle. The cell morphology of steamed and unsteamed starch acetate-based fiber foams were compared to conventionally expanded polystyrene foams and native starch-based loose-fill foams. More uniform cell distribution was observed in starch acetate -fiber foams than in native starch-based loose-fill foams. Nearly hexagonal cells were formed in starch acetate -cellulose foams as compared with expanded polystyrene foams. Relations between cell morphology and foam functional properties were also investigated. Recovery with post-extrusion steaming and well developed hexagonal cell structure enhanced the mechanical properties, increased the expansion, and lowered the unit and bulk densities. Overall, post-extrusion steaming recovered collapsed cells after the starch acetate-fiber dough exited the die nozzle.
Edge Intelligence Based Collaborative Learning System for IoT Edge

Edge Intelligence based collaborative learning systems have been developed to perform collaborative learning among multiple devices in a distributed environment. Majority of the collaborative learning systems have been designed using resources containing high computational power. It was identified that a system could be implemented to facilitate collaborative learning in resource constrained Internet of Things (IoT) devices. The existing collaborative learning systems were critically reviewed and analyzed to identify the ideal collaborative learning approach for resource constrained IoT edge. During the initial stages of the research, partitioned model training was identified as the most ideal approach. The research paved the way to design and implement two training architectures based on partitioned model training approach to facilitate environments with adequate and limited access to edge infrastructure. The proposed system utilized a hybrid deep learning model in partitioned model training approach for the first time. Furthermore, the research utilized a lightweight containerization mechanism to deploy the proposed collaborative learning system. The testing and evaluation phases of the research proved that the system was able to significantly reduce the resource consumption of the devices while achieving high model accuracy. The experimental setup reached up to 97% in model accuracy while consuming a significantly lower CPU consumption of 6.33%. The proposed system also proved to function efficiently by reducing energy consumption and reducing operational temperature by up to 4°C.
The use of the story-telling technique in teaching vocabulary in high school classrooms

One of the most crucial aspects of learning a language is vocabulary acquisition. In Vietnam, the definition and translation-based method in teaching vocabulary is extremely popular in most high school classrooms because of its time-saving nature and undemanding implementation. This article; therefore, aims to introduce an innovative yet effective presentation of vocabulary through stories and visual aids in the hope that this technique could assist high school teachers in creating lively vocabulary instruction lessons in their classrooms.
Spatial Audio Music Player for Web

Spatial audio offers new expressive means to music composers. Spatial audio technology is well supported in web browsers for desktop and mobiles platforms alike [ Error! Reference source not found. ]. However, the spatial audio is only marginally represented in web music industry. Most of the online streaming platforms such as Spotify, YouTube or Soundcloud use predominantly stereo format for playback. We propose a new easy to use web-based spatial audio player. We also propose spatial audio encoding using existing audio codecs and discuss the practical implementation. Evaluation of the player was conducted using qualitative user research and by logging measurable data during listening. We aim to democratize the use of spatial audio on the web for non-expert users.
Implementation of power‐aided control for a virtual reality exercise bike

Abstract This paper investigates the designs and applications of a virtual reality exercise bike system utilizing active power control. An impedance control which employs a state filter to simplify certain circuits such as torque sensors, is presented for executing functions required by these machines. This approach can be used to improve the indoor exercise experience and assist in physical rehabilitation. Moreover, this method, as opposed to passive techniques, gives patients more options in their endeavors to recover. An experimental setup is given to evaluate control performance in real time and also to demonstrate some practical uses.
The European power systems on the threshold of a new East-West co-operation

The European power systems are in the process of a new orientation. The aim of interconnecting the grids to large power systems is to facilitate and promote the exchange of electric power. The progressive extension of the synchronous parallel operation of UCPTE with Eastern countries has been discussed extensively between the concerned utilities. A lot of studies have been accomplished to investigate practical and theoretical questions of the intended interconnections. In late summer 1995 the East and West German Power Systems have been interconnected; followed by the interconnection of CENTREL to UCPTE. In a later stage the networks of Bulgaria and Romania shall also be connected to the UCPTE system. In order to investigate the future power exchange between the East and West European countries a feasibility study on an East-West High Power Transmission System being able to transport 4 GW between Russia, Belarus, Poland and Germany has been performed. This High Power link is to become an integrated part of the Baltic Ring, which resumes the idea of creating an electrical interconnection around the Baltic Sea.
Learning to learn from positive experiences

ABSTRACT People draw on psychological resources such as gratitude to cope with adversity and maintain well-being. These resources must largely be acquired, and studies have identified environmental and behavioral factors of this learning. Yet little research has investigated how people can be active agents in this process by how they engage their experiences of psychological resources. Consequently, the HEAL framework was developed to organize numerous ‘mental engagement factors,’ and the Taking in the Good Course (TGC) was created to explore their use. In a multiple arm, pre-post intervention study, TGC participants reported significant increases in composite measures of Cognitive Resources, Positive Emotions, and Total Happiness, and decreases in a composite measure of Negative Emotions; these results persisted two months after the course ended. These findings suggest that people can learn how to heighten the internalization of beneficial experiences, with implications for improving responses to treatment and the development of psychological resources.
Toward the Fourth Generation

Future universal broadband mobile services present a challenge for telecommunications architectures, control, and management. The focus of the future mobile (fourth) generation vision is turned from capacity to services, from radio to networkwide issues. New types of applications will evolve that should be supported by an adequate programmable intelligent telecommunications infrastructure. A convergence between telecom and datacom networks will happen based on the communications middleware concept, which will provide universal secure connectivity between mobile users and their applications. Actual specifications of TINA-C do not address all such necessary issues. There is a need for technology evolution, enhancement, and integration to meet these new requirements at different levels.
Comparison of half-bridge off-line, ZCS-QRC and ZVS-MRC

The performance of the half-bridge (HB) zero-current-switched (ZCS) quasi-resonant converter (QRC) and zero-voltage-switched (ZVS) multiresonant converter (MRC) is compared with respect to their efficiency, input voltage range, semiconductor stresses, power density, and reliability. The efficiency of the HB ZVS-MRC at a given nominal input is shown to be highly dependent on the range of the input voltage, and it suffers when the converter has to be designed to cover a wide range. However, this is not the case for the HB ZCS-QRC. Experimental versions of the HB ZCS-QRC and HB ZVS-MRC were designed for the input voltage range from 150 to 350 V and a maximum output power of 100 W, under the same constraints, to facilitate their comparison. >
Design and realization of a 4 × 4 microstrip Butler matrix without any crossing in millimeter waves

This paper deals with the design of a 4 × 4 Butler matrix with millimeter microstrip technology. The design of this matrix at around 40 GHz suggests a circuit without any crossing on single‐layer substrate. Thus its main advantage is low cost. Simulations, realization, and measurements are discussed in the present paper. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 38: 462–465, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.11090
Analyzing the reliability impact of distributed generation

With recent advances in technology, utilities can expect to see increasing amounts of distributed generation (DG) on their distribution systems. This DG can have positive impacts such as voltage support and deferred capital investments, but can also have negative impacts on protection coordination, voltage regulation, voltage flicker and short circuit levels. Reliability is an area where DG can have both a positive and a negative impact. This paper describes these situations and develops methods to analyze them using predictive reliability assessment tools.
Computation of transient electromagnetic fields radiated by a transmission line: An exact model

A novel time domain analytical method for predicting electromagnetic field transients resulting from power line switching operations is presented in this paper. This method, which is directly derived from electromagnetic field theory of a power transmission line, allows the field transients to be accurately and efficiently calculated. It will be shown that conventional numerical methods for computing transmission line transient electromagnetic fields are in fact degenerative approximate models for this analytical method. >
TEACHING INFORMATION SYSTEMS DEVELOPMENT USING "VIRTUAL TEAM" PROJECTS 1

In this paper, we discuss our experiences in designing and implementing a “virtual team” systems development project that enabled us to incorporate the different types of knowledge relevant to teaching Information Systems Development (ISD) and the different stages of learning applicable to students in institutions of higher education. We outline some of the unique advantages as well as potential pitfalls that professors interested in adopting this project structure should be aware of. We also provide a framework that can guide the design and evaluation of ISD courses.
Contractor Selection Model for Highway Projects Using Integrated Simulation and Analytic Network Process

AbstractSelecting the appropriate contractor is a significant step to highway project success. The process of selection is subjected to uncertainty and influence of criteria other than bid price. This paper presents an approach to prioritize competitive contractors at the prebidding stage for highway projects by utilizing the analytic network process (ANP) and Monte Carlo simulation. Both techniques are integrated on a single platform to build the proposed model. Initially, the main quantitative and qualitative criteria affecting the contractors’ selection process are identified and studied. The effective criteria in the selection process were obtained from experts and literature. A structured questionnaire was designed and sent to experts in highway projects. The ANP was used to prioritize these criteria subsequently, and Monte Carlo simulation was utilized to develop the selection model. The applicability of the proposed model was tested using four real cases of highway projects. It was concluded that u.