Miracle-dz/UniFAR-FTUs huggingface dataset:
Substrate effects in monolithic RF transformers on silicon

The effect of substrate RF losses on the characteristics of silicon-based integrated transformers is studied experimentally by using a substrate transfer technique. The maximum available gain is used to evaluate the quality of transformers similarly to that of active devices. The silicon substrate has a pronounced effect on the quality factor and mutual resistive coupling factor of the primary and secondary coils, thereby degrading the maximum available gain of the transformer. A highly structured patterned ground shield is shown to improve the maximum available gain of a transformer at high frequencies, while at low frequencies, it has little effect on the maximum available gain and even degrades the quality factors of the transformer coils. It is shown that the low-frequency degradation of the coil quality factors relates to local eddy currents in the patterned metal shield.
Business application design and enterprise service design: a comparison

The ever growing complexity of Information System (IS) landscapes is a transparency and simplification challenge by its own. When business requirements frequently change or when technical innovations are frequently implemented, IS agility has to be aimed at in addition to transparency and simplicity. Service orientation claims to support agility. An integrated methodology to service construction is needed which is based on an appropriate Enterprise Architecture (EA) framework, and which reflects the different life cycles on the various architectural layers. As a contribution towards service construction methodology, this paper compares Enterprise Service (ES) construction with the construction of conventional business applications in order to assess the (re)usability of business application construction techniques for ES construction. Based on an analysis of traditional business application design techniques, hypotheses for the design of ESs are developed. Five case studies are presented and analysed which represent ES design practices in large companies with heterogeneous IS landscapes. On the one hand, there is evidence that ESs are designed along the same guidelines which proved useful for traditional application development. On the other hand, there are indicators that the specific properties of ESs lead to adjusted design guidelines.
Assessment of the graduates' skills environment for job performance: structural equation modeling

All students need a set of skills and attributes to prepare them for both jobs and further learning. Environmental skills (ES) for graduates are the secret that graduates think makes a good worker. Unique qualities and main skills that contribute to overall employability include loyalty, dedication, authenticity and integrity, enthusiasm, personal appearance, inspiration, adaptability and ability to cope with pressure. Employability skills are the "core skills and personal qualities that you need to join, function and succeed in a new world of work. " These are the transferable skills that we carry from one job situation to another. Key skills include communication, collaboration, problem-solving, initiative and enterprise, organizing and planning, self-management, technical skills and technology. There is some controversy about the extent at which college students improve their skills and the degree to which higher education institutions are successful in preparing their students to meet the requirements of the labour force. This study therefore explores the expectations of the employability skills of students of the College of Business Administration (CBA) in the United States and how they have developed those skills. Using the Likert-scale survey, 303 student-participants self-reported their skill levels in different environmental skills areas. Structural equation modelling approaches used to analyses and quantify the skills that undergraduate students need for jobs. Our research has shown that, higher education institutions must be able to discuss the problem of employability after graduation and to find innovative and better ways of improving Skills for their students, such as their ability to conceptualize; creativity, innovation and change; leadership and influence; interpersonal relations and motivation-Personal qualities that have had the greatest impact on jobs.
Final Report for ARMY STIR Grant W911NF-10-1-0360: Inferring Implicit Human Social Network Structure from Multi-modal Data

Abstract : Markov Random Fields (MRFs), a.k. a. Graphical Models, serve as popular models for networks in the social and biological sciences, as well as communications and signal processing. A central problem is one of structure learning or model selection: given samples from the MRF, determine the graph structure of the underlying distribution. When the MRF is not Gaussian (e.g. the Ising model) and contains cycles, structure learning is known to be NP hard even with infinite samples. Existing approaches typically focus either on specific parametric classes of models, or on the sub-class of graphs with bounded degree; the complexity of many of these methods grows quickly in the degree bound. We develop a simple new greedy' algorithm for learning the structure of graphical models of discrete random variables. It learns the Markov neighborhood of a node by sequentially adding to it the node that produces the highest reduction in conditional entropy. In our work, we provide a general sufficient condition for exact structure recovery (under conditions on the degree/girth/correlation decay), and study its sample and computational complexity. We then consider its implications for the Ising model, for which we establish a self-contained condition for exact structure recovery.
A CMOS Fractional Frequency Synthesizer for a Fully Integrated S-Band Extravehicular Activity (EVA) Radio Transceiver

The future of manned space explorations demands the development and use of low-power, lightweight and miniaturized communication systems. A very important aspect of space explorations is extravehicular activity (EVA) which enables astronauts carry out tasks outside the protective environment of the spacecraft cabin. EVA radios enable the crew to transmit and receive information among themselves and with equipment in space during EVA. One of the key building blocks in the EVA radio transceiver is the frequency synthesizer whose purpose is to generate the local oscillator (LO) signals for the transmitter (TX) and receiver (RX). This seminar presents the design of a dual-band fractional-N frequency synthesizer for an EVA radio transceiver at 2.4 GHz. The synthesizer is required to generate quadrature signals at 2.4GHz for the direct conversion RX, and 1.6GHz and 0.8GHz (quadrature) LO signals for dual up-conversion in the TX to prevent VCO pulling. The VCO employed in the synthesizer uses the resonant mode switching technique to provide two separate resonant modes at 1.6GHz and 4.8GHz with a divide by two circuit to generate the quadrature signals of 0.8GHz and 2.4GHz for the TX and RX respectively while satisfying phase noise requirements. The synthesizer is implemented in 0. 18µm CMOS and achieves a measured phase noise at 1MHz offset of -130.4 dBc/Hz at 1.62GHz and -120 dBc/Hz at 4.86GHz with reference spurs <-70.2dBc for the lower band and < -63.8dBc for the higher band. The synthesizer occupies an area of 1.54mm 2 with total power consumption of 18.2 - 22.7mW.
Collision avoidance among AGVs at junctions

The movement of a vehicle in an automated guided vehicle system (AGVS) depends on the status of other vehicles present in the system. One of the objectives of automation is to have collision free movement to increase the safety. In this paper, two controllers are suggested that by design guarantee no collision between two vehicles at the junctions. The control laws obtained are used for finding out the initial conditions that will be safe under both of these laws, or at least under one law. Accordingly, the set of conditions for which collision can not be avoided is determined.
Conservation genomics of the endangered Seychelles Magpie‐Robin (
 Copsychus sechellarum
 ): A unique insight into the history of a precious endemic bird

The Seychelles Magpie-Robin Copsychus sechellarum is an IUCN Red-List Endangered species endemic to the Seychelles, whose population was reduced to eight individuals on a single island in the 1960s. Translocations from the remaining population to four additional islands have been an integral factor in their recovery, but the potential genetic consequences of their translocation history have not previously been explored. We rese-quenced the genomes of 141 individuals sampled
Hydrogen Safety Prediction and Analysis of Hydrogen Refueling Station Leakage Accidents and Process Using Multi-Relevance Machine Learning

Hydrogen energy vehicles are being increasingly widely used. To ensure the safety of hydrogenation stations, research into the detection of hydrogen leaks is required. Offline analysis using data machine learning is achieved using Spark SQL and Spark MLlib technology. In this study, to determine the safety status of a hydrogen refueling station, we used multiple algorithm models to perform calculation and analysis: a multi-source data association prediction algorithm, a random gradient descent algorithm, a deep neural network optimization algorithm, and other algorithm models. We successfully analyzed the data, including the potential relationships, internal relationships, and operation laws between the data, to detect the safety statuses of hydrogen refueling stations.
Tunable Mixed-Mode Voltage Differencing Buffered Amplifier-Based Universal Filter with Independently High-Q Factor Controllability

This paper proposes the design of a mixed-mode universal biquad configuration, which realizes generic filter functions in all four possible modes, namely voltage mode (VM), current mode (CM), transadmittance mode (TAM), and transimpedance mode (TIM). The filter architecture employs two voltage differencing buffered amplifiers (VDBAs), two resistors and two capacitors, and can provide lowpass (LP), bandpass (BP), highpass (HP), bandstop (BS), and allpass (AP) biquadratic filtering responses without any circuit alteration. All passive elements used are grounded, except VM. The circuit not only allows for the electronic tuning of the natural angular frequency (ωo), but also achieves orthogonal tunability of the quality factor (Q). It also provides the feature of availability of output voltage at the low-output impedance terminal in VM and TIM, and does not require inverting-type or double-type input signals to realize all the responses. Moreover, in all modes of operation, the high-Q filter can be easily obtained by adjusting a single resistance value. Influences of the VDBA nonidealities and parasitic elements are also discussed in detail. PSPICE simulations with TSMC 0.18-µm CMOS process parameters and experimental testing results with commercially available IC LT1228s have been used to validate the theoretical predictions.
A Study on the Mediating Effect of Customer Orientation between O2O Service Quality and Customers' Perceived Service Satisfaction

Purpose: O2O (Online to Offline) is an internet-based platform. The purpose of this study is to confirm the effect of service quality of O2O food delivery service on service satisfaction, and whether customer orientation mediates the relationship between service quality and service satisfaction. Research design, data and methodology: This paper surveyed Chinese consumers using the O2O food delivery platform through a questionnaire technique. Smart PLS 3.0 was used to verify the hypothesis of this study. PLS is characterized by the advantage of minimizing measurement errors and maximizing the influence of each factor. Results: It was confirmed that O2O food delivery companies need to increase service quality (information quality, product quality, and social quality, system quality) in order to obtain customer satisfaction. Additionally, the perceived customer orientation was found to completely mediate the relationship between perceived service quality (information quality, product quality) and perceived service satisfaction. Conclusions: The service level of the O2O delivery company to the customer's request when a problem occurs in the customer's order must be raised to increase the customer's satisfaction. For example, timely response to customer inquiries and timely feedback of delivery information to customers during the delivery process should improve the quality of after-sales service.
Present and future trends of supply chain management in the presence of COVID-19: a structured literature review

ABSTRACT The COVID-19 inflicted worldwide heavy losses and exposed the vulnerability of the global supply chain. Since then, the number of research works exploring the supply chain-related issues raised by this terrible pandemic steadily increases, making a structured review a necessity. To this end, this paper figured out three major tasks: (1) 166 relevant articles are identified, along with a macro-level analysis in terms of general information of the literature; (2) through mapping the relevant research works from the problem-oriented and methodology-driven perspective, the present research hotspots and methodologies/theories used in these studies are revealed; and (3) a research agenda with the consideration of supply chain disruptions and 3Rs in the supply chain is proposed. Research findings may shed more light on the discussion of the COVID-19’s impacts on supply chains, and providing academical guides for researchers and managerial insights for decision-makers to develop appropriate responses to the pandemic.
Feature-Based Multi-Class Classification and Novelty Detection for Fault Diagnosis of Industrial Machinery

Given the strategic role that maintenance assumes in achieving profitability and competitiveness, many industries are dedicating many efforts and resources to improve their maintenance approaches. The concept of the Smart Factory and the possibility of highly connected plants enable the collection of massive data that allow equipment to be monitored continuously and real-time feedback on their health status. The main issue met by industries is the lack of data corresponding to faulty conditions, due to environmental and safety issues that failed machinery might cause, besides the production loss and product quality issues. In this paper, a complete and easy-to-implement procedure for streaming fault diagnosis and novelty detection, using different Machine Learning techniques, is applied to an industrial machinery sub-system. The paper aims to offer useful guidelines to practitioners to choose the best solution for their systems, including a model hyperparameter optimization technique that supports the choice of the best model. Results indicate that the methodology is easy, fast, and accurate. Few training data guarantee a high accuracy and a high generalization ability of the classification models, while the integration of a classifier and an anomaly detector reduces the number of false alarms and the computational time.
Commercial-Off-The-Shelf Selection Process

Abstract: This article presents a Commercial-Off-The-Shelf (COTS) evaluation and selection process that utilizes a weighted scoring model to facilitate the comparison of COTS components relative to a number of pre-established evaluation criteria. The application of a COTS evaluation methodology will enable project teams responsible for designing complex systems to take advantage of potential economic leverage and performance advantages COTS technology presents. More importantly, this approach provides a mechanism for careful evaluation of the candidate COTS components to ensure engineers developing COTS-intensive systems give appropriate consideration to critical COTS attributes such as operational requirements, risk, cost, technology maturity, and supplier viability.
The Impact of the Financial Wellbeing of the Elderly of Kazakhstan on Their Family Life

Today, many countries in the world are concerned about the well-being of pensioners, as their number is growing every year and pension systems cannot cope with ensuring a decent old age. The well-being of pensioners is part of the well-being of society, and the pension system is an institution for ensuring the well-being of pensioners. Therefore, it is important to understand the relationship between the financial well-being of older people and the country’s pension system. It is also important to understand that the family is an integral part of a person and therefore the well-being of each family member affects family relationships. This article is devoted to the assessment of the financial well-being of pensioners in Kazakhstan as a key factor affecting the family relations of a pensioner with partner, children, and grandchildren. Primary and secondary data were used for this study. The primary data were collected through interviews, which allowed us to obtain a subjective definition of financial well-being on the part of pensioners and its impact on family relations. This data was processed and encoded using the Atlas.ti program. Data from the Bureau of National Statistics made it possible to objectively assess the financial situation of Kazakhstani pensioners. The study found that the concept of financial well-being among Kazakhstani pensioners is more important for men than for women. Pensioners are not happy with their financial well-being, but this does not significantly affect their relationship with their families. The results of the study will allow us to assess the financial well-being of pensioners and can be used in the reform of social policy, pension provision of the country. Through the use of interviews financial literacy has been identified as one of the key factors, which depends on circumstances and the context.
The ecology of diatoms inhabiting cryoconite holes in Antisana Glacier, Ecuador

Abstract In the ablation zone of glacier habitats, cryoconite holes are known to harbor diverse microbial communities, including unique diatom floras distinct from those of surrounding aquatic and terrestrial systems. Besides descriptive studies, little is known about the diversity of cryoconite diatoms and their response to environmental stressors, particularly in low-latitude glaciers. This paper documents an extremely diversified diatom community in Antisana Glacier (Ecuador), reporting 278 taxa found in 54 surface holes, although with low individual abundances. Contrary to our expectations, assemblage structure did not respond to water physical or chemical characteristics, nor to cryoconite hole morphology, but to elevation. We demonstrate that elevation is a driver of diatom assemblages. Both alpha diversity (measured as Fisher's index) and species richness (corrected for unequal sample sizes) correlated negatively with elevation, suggesting a replacement toward simplified, poorer communities along this gradient. The taxonomic composition also changed significantly, as revealed by multivariate statistics. In summary, cryoconite holes are sites of high taxonomic diversity composed of taxa that are allochthonous in origin.
Simultaneous assessment of motor and cognitive tasks reveals reductions in working memory performance following exercise in the heat

ABSTRACT This study tested the hypothesis that, following exercise in the heat, motor task performance will be impaired when assessed simultaneously with a cognitive task. In a randomized, crossover and counterbalanced design, twelve healthy adults (23 ± 2 years, 5 women) completed four 10-minute exercise circuits involving upper and lower body exercise in a moderate (18.1 ± 1.7°C, 38 ± 10% relative humidity) and a hot (40.3 ± 1.1°C, 26 ± 5% relative humidity) environment. Experimental testing was completed in a temperate thermal environment before exercise (~25°C) and in either the moderate or hot environment following exercise. The 3 Back test (a test of working memory) was used as the cognitive task and postural sway was used as the motor task. Cognitive and motor task performance assessments were conducted both individually (solo) and simultaneously (dual). At the end of exercise, core temperature (by 0.4 ± 0.3°C, P < 0.001), heart rate (by 12 ± 18 bpm, P = 0.025), and mean skin temperature (by 7.6 ± 0.8°C, P < 0.001) were higher in the Hot trial compared to Moderate. During solo testing, postural sway increased from pre- to post-exercise in the Hot (P ≤ 0.028), but not the Moderate (P ≥ 0.261) trial. During dual testing, postural sway did not differ between trials (P ≥ 0.065) or over time (P ≥ 0.094). During solo testing, 3 Back performance did not differ between trials (P = 0.810) or over time (P = 0.707), but during dual testing 3 Back performance following exercise was reduced in the Hot compared to the Moderate trial (P = 0.028). Simultaneous assessment of motor and cognitive tasks reveals that motor performance is reduced following exercise in the heat.
Performance Evaluation of NVMe-over-TCP Using Journaling File Systems in International WAN

Distributing Big Data for science is pushing the capabilities of networks and computing systems. However, the fundamental concept of copying data from one machine to another has not been challenged in collaborative science. As recent storage system development uses modern fabrics to provide faster remote data access with lower overhead, traditional data movement using Data Transfer Nodes must cope with the paradigm shift from a store-and-forward model to streaming data with direct storage access over the networks. This study evaluates NVMe-over-TCP (NVMe-TCP) in a long-distance network using different file systems and configurations to characterize remote NVMe file system access performance in MAN and WAN data moving scenarios. We found that NVMe-TCP is more suitable for remote data read than remote data write over the networks, and using RAID0 can significantly improve performance in a long-distance network. Additionally, a fine-tuning file system can improve remote write performance in DTNs with a long-distance network.
Sensor-based data recording of use conditions for product takeback

Information on product properties and the history of product use are essential for higher levels of product recovery like the reuse of components or remanufacturing. These product recovery options are economically more attractive than materials recycling. In this paper, the ISPR (Information System for Product Recovery) is proposed. Its key component is an electronic device, the so-called EDL (Electronic Data Log), which is integrated in a product to record and store data strongly correlated with the degradation of components during the use stage of a product. The data recorded and processed during the use stage are retrieved and analyzed by the ISPR when the product is returned. The objectives for the development of the EDL, its implementation and its economical efficiency are discussed in detail.
Computational modelling in sport: a hybrid simulation of the runner as a complex adaptive system

Abstract Running-related injuries, specifically overuse injuries, are complex and multifaceted. A different way of thinking is required to fully comprehend why, and how, these injuries occur. The systems thinking perspective offers tools and techniques to capture system-wide interactions in causal, closed-loop structures which may be studied and quantified in a practical way. The value of systems thinking in sport may only realise when pragmatic models follow descriptive, qualitative models. This article instantiates a qualitative, systems thinking perspective of the runner as a complex adaptive system with a hybrid simulation model. The approach is substantiated with principles from physics and physiology and is partially driven by data from a running watch. Results demonstrate that the scientific, reductionist method may be augmented with dynamic, closed-loop thinking and simulation modelling.