Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural and molecular biology of Acheta domesticus segmented densovirus, the first parvovirus to harbor a bipartite genome

Parvoviruses (family Parvoviridae) are defined by their linear monopartite ssDNA genome, T=1 icosahedral capsid, and distinct structural (VP) and non-structural (NS) protein expression cassettes within their genome. Here, we report the first parvovirus with a segmented genome, Acheta domesticus segmented densovirus (AdSDV), a house cricket (Acheta domesticus) pathogen. The AdSDV harbors its NS and VP cassettes on two separate segmented genomes. Its VP segment acquired a phospholipase A2-encoding gene via inter-subfamily recombination, which is absent from its capsid. The AdSDV evolved a transcription profile in response to its multipartite replication strategy that has diverged from its Brevihamaparvovirus ancestors. Furthermore, AdSDV assembles three capsid populations, which package one genome segment per particle. The cryoEM structures of these three capsids (2.3 to 3.3 Å resolution) reveal a genome packaging mechanism, which differs from other parvoviruses. This study provides a new perspective on ssDNA genome segmentation and on the plasticity of parvovirus biology.
Dynamic Probabilistic Caching Algorithm with Content Priorities for Content‐Centric Networks

This paper presents a caching algorithm that offers better reconstructed data quality to the requesters than a probabilistic caching scheme while maintaining comparable network performance. It decides whether an incoming data packet must be cached based on the dynamic caching probability, which is adjusted according to the priorities of content carried by the data packet, the uncertainty of content popularities, and the records of cache events in the router. The adaptation of caching probability depends on the priorities of content, the multiplication factor adaptation, and the addition factor adaptation. The multiplication factor adaptation is computed from an instantaneous cache‐hit ratio, whereas the addition factor adaptation relies on a multiplication factor, popularities of requested contents, a cache‐hit ratio, and a cache‐miss ratio. We evaluate the performance of the caching algorithm by comparing it with previous caching schemes in network simulation. The simulation results indicate that our proposed caching algorithm surpasses previous schemes in terms of data quality and is comparable in terms of network performance.
Medicine’s Melodies: On the Costs & Benefits of Music, Soundscapes, & Noise in Healthcare Settings

A large and growing body of empirical research now demonstrates the positive impact that music and other auditory stimuli (such as nature soundscapes) can have across the entire spectrum of the healthcare ecosystem. From the point of entry and onward to the operating room/theatre, in the peri-operational environment, patient wards, and medical waiting rooms, music affects all of those who hear it: Patients, their families, surgeons, caregivers, and hospital staff alike. In the age of the “experience economy,” where patients are considered both guests and consumers, private healthcare is increasingly starting to focus on customer satisfaction, and its impact on both financial performance and (not unrelated) health outcomes. In this review, we summarize the latest evidence concerning the impact of music, soundscapes, and noise, on medical outcomes and healthcare provision. We highlight the importance of the auditory (and, ultimately, the multisensory) environment, not only for health and well-being, but also in terms of improving patient satisfaction and managing costs.KEYWORDS: MUSIC; MEDICINE; ATMOSPHERICS; SOUNDSCAPES
Wireless Dopamine Sensing Brain Implant: The Concept and First Results

In Parkinson’s disease (PD), dopamine neurons degenerate in the Substantia Nigra, and there is a reduction of dopamine in the caudate-putamen. The diagnosis of PD is principally clinical, although specific investigations (such as PET scans) can help the differential diagnosis from other forms of parkinsonism. A brain implant that enables continuous dopamine monitoring would be helpful for Parkinson’s disease patients. We address an RFID-based solution for data transmission and power transfer that facilitate the implementation of a fully implantable and batteryless brain implant. The wireless operation takes place on three frequency bands of 402, 902, and 2400 MHz for data telemetry, power transfer, and switching control, respectively.
Engineering work integrated learning placements: the influence of capitals on students’ access

ABSTRACT Work Integrated Learning (WIL) is embraced in Australian higher education (HE) and is a feature of most Australian HE ‘entry to profession’ engineering education programs accredited by Engineers Australia. Accreditation guidelines articulate the need for curriculum-integrated engagement with professional practice (EPP) and encourage EPP in a separate workplace environment, e.g. WIL. This article reports on the analysis of semi-structured interviews with staff and student engineers from four Australian HE institutions with mandatory engineering WIL. Framed by a Bourdieusian theoretical perspective, the influence of capitals on student access to engineering WIL placements was investigated. The research found that students’ capitals influenced access to engineering WIL placements. Policy and educational practice recommendations are made.
THE RELATONSHIP BETWEEN FEMALE UNEMPLOYMENT AND ENERGY CONSUMPTION: THE CASE OF OECD COUNTRIES

Bu calismada, 29 OECD ulkesinde enerji tuketimi ile kadin issizligi arasindaki kisa ve uzun donemli iliski, 1991-2015 donemine ait panel verileri kullanilarak arastirilmaktadir. Ampirik analiz icin, Panel ARDL yontemi ve Granger nedensellik testi kullanilmistir. Analizler sonucunda, hem kisa donemde hem de uzun donemde enerji tuketimi anlamli bir bicimde kadin issizligini negatif yonde etkiledigi gorulmustur. Yani enerji tuketimi, kadin issizlik orani acisindan negatif ve istatistiksel olarak anlamli bir etkiye sahiptir. Ayrica, Granger nedensellik testi sonucuna gore enerji tuketimi ile kadin issizlik orani arasinda cift yonlu (bidirectional) bir nedensellik oldugu saptanmistir.
Learning Environments in Health and Medical Studies: The Mediating Role of Emotional Intelligence

The conventional approach to sustainability is being extended through approaches such as the psychology of sustainability and sustainable development. Under such approaches, the analysis of sustainability also involves understanding improvements in people’s quality of life in environments such as education and learning. Based on this theoretical approach, this study explored the relationships between anxiety, emotional intelligence, and mechanisms for coping with stressful situations. The mediating role of emotional intelligence in the relationship between anxiety and coping mechanisms was also assessed. The anxiety, emotional intelligence, and coping variables were measured using standardized tests administered to students. This cross-sectional study was based on self-reports by health students at universities in Valencia (Spain). The study conformed to the ethical standards established by the Declaration of Helsinki. In total, 434 students participated in the study. The students were aged between 17 and 54 years (M = 21; SD = 0.320). From the perspective of the psychology of sustainability, the results indicate that avoidance coping strategies are positively related to anxiety and are negatively related to emotional intelligence. However, the results also show that approach coping strategies are positively related to emotional intelligence. In addition, the analysis shows the mediating role of emotional intelligence in the relationship between anxiety and coping. This study shows the need to encourage the sustainable development of emotional intelligence among health professionals and to consider this sustainable development when designing education programs for health-related fields.
A Modified Technique for Characterization of Baluns Based on One-Port S-Parameter Measurements

We present a modified technique for characterization of a three-port test set utilized to connect balanced one-port infrared detectors to single-ended port of measurement instrumentation. The test set operating as a balun is dedicated to spectral measurements of the noise power density of photodiodes mounted inside TO-8 package. Its scattering matrix needs to be known to deembed the noise and impedance performances of the photodiodes. Due to nonstandard ports on the balanced side of balun, this matrix is determinated indirectly with a calibration based on the reflection coefficients measured at single-ended port, while changing load conditions on the both other ports. To this end, we employ Open, Short, and $50 \Omega$ Match loads, whose characteristics have been obtained with electromagnetic field simulations. We calibrate the test set using the calibration loads combined in seven different pairs. The calibration results agree well with characteristics calculated using circuit simulations on measured S-matrices of the test-set components.
Economic and Education Transformation: Changing the Financial Paradigm

The formation of a new information paradigm of financial markets is an objective process that is taking place at the moment. The idea of rational consumer behavior in recent times is in question. Increasingly, researchers note the growth of anomalies in making investment decisions and the acquisition of consumer goods by market participants. In this study, attempt has been made to explain such behavior on the example of the stock market. The obtained results allow shaping a new paradigm based on behavioural features of market formation and educational restructuring. The analysis of theoretical studies and empirical evidence became the basis for the development of a new logistics paradigm for financial markets, which explains the anomalies arise when using linear and non-linear paradigm and is based on a modified Efficient Market Hypothesis (EMH). The object of the analysis is the financial market of economically developed countries through the application of event analysis in the original. The information base is the data of the exchanges indices: "Eurex" (European Union), "NASDAQ" (USA), "MICEX-RTS" (Russian Federation); and indexes of confidence – the analytical company: "Sentix" (European Union), "Business-insider" (Australia), "The new York non-profit research organization under the Ministry of Commerce" (USA) and banks: "Bank of Japan", "Federal reserve Bank of St. Louis" (USA); commercial banks: "AlfaBank" (Russia), "Natixis" (France) for the period from 8.03. 2010 year, on 08.08. 2016. The aim of this work is to develop a theoretical basis for the formation of event-driven research base.
Compact and Highly Efficient Coil Design Using a Repeater Coil in WPT System for BEV/PHEVs

Wireless power transfer (WPT) for BEV/PHEVs is being studied to improve user convenience and safety of charging. This paper presents a new WPT system for BEV/PHEVs that has a repeater mounted on the transmitter. The size of the repeater is adjusted according to vehicle height. By inserting a repeating coil between the transmitting and receiving coils, transmission efficiency is improved and the transmitting coil can be downsized. By theoretical analysis and electromagnetic field simulation, it is shown that insertion of a repeating coil is effective in reducing the size of the transmitting coil.
Flexible Production and Entry: Institutional, Technological, and Organizational Determinants

Academics, the media, and policymakers have all raised concerns about the implications of human workers being replaced by machines or software. Few have discussed the implications of the reverse: firms’ ability to replace capital with workers. We show that this flexibility can help new firms overcome uncertainty and increase entrepreneurial entry. We develop a simple real options model where permissive labor regulations allow firms to take advantage of capital-labor substitutability by replacing ‘rigid’ capital with ‘flexible’ labor. The model highlights institutional, technological, and organizational preconditions to using this flexibility. Using a large and comprehensive dataset on entry by standalone firms and group affiliates, we provide evidence in support of the model.
A Comparison of Virtual Platform Simulation Solutions for Timing Prediction of Small RISC-V Based SoCs

In an electronic system level design flow, early timing predictions can be realized by employing virtual platform simulations in the transaction level abstraction. However, there is little research comparing virtual platform solutions for small RISC-V based System-on-a-Chip architectures. This paper tries to fill this gap with a qualitative and quantitative comparison focusing on timing prediction accuracy. Starting with a total list of 25 RISC-V simulators, we found that only three candidates fulfill a comprehensive set of requirements for research applications. For these candidates we performed a quantitative comparison in which we model a single-master bus-based System-on-a-Chip at different abstraction levels and measure each simulator’s timing prediction accuracy and simulation speed.
Protéger les plus démunis. Guide de la micro-assurance, Volume II

«La micro-assurance est un outil essentiel pour aider les personnes demunies a gerer les risques efficacement. Du fait de l’interet croissant pour l’assurance a la base de la pyramide, les produits innovants et les mecanismes de distribution qui combinent durabilite et valeur pour les clients se developpent de plus en plus rapidement. Ce volume arrive au bon moment pour rassembler les enseignements cles degages a ce jour et resumer les dernieres innovations d’une liste impressionnante de leaders du marche. » -Tilman Ehrbeck, PDG, Consultative Group to Assist the Poor (CGAP) Ce second volume de «Proteger les plus demunis» est une collection unique de pratiques recentes et d’idees emergentes en micro-assurance. Il aborde les nombreuses innovations qui ont emerge au cours des dernieres annees pour repondre aux defis lies a la fourniture d’assurance aux personnes a faible revenu, allant des nouveaux produits et canaux de distribution aux outils d’education des consommateurs, tout en examinant les changements reglementaires, les fournisseurs et les regimes. Etant donne que la communaute de micro-assurance evolue de facon spectaculaire et que des millions d’autres menages a faible revenu ont acces a une meilleure couverture d’assurance, ce deuxieme volume sera une ressource inestimable pour les decideurs, les assureurs, les universitaires et les ONG. Edite par l’OIT et la fondation Munich Re.
Guaranteeing Network Reliability to 0-Day Exploits Using Cost-Effective Heterogeneous Node Migration

Network reliability has become an important concern to network administrators and service providers, and is prominently considered in network design. Particularly, 0-day vulnerabilities are an increasing threat to software-based networking systems. When shared between node appliances, they can be exploited simultaneously and compromise large portions of the network. Moreover, it has been observed that the number of 0-day vulnerabilities discovered yearly in node appliances tends to increase over time. Thus, we can expect that the reliability to 0-day exploits of a network implemented with these appliances will also worsen over time. In this work, we treat network reliability to 0-day exploits as a service, where the network provider agrees to deliver a reliability-based level of service over time. We propose a network reliability metric based on network connectivity and discovered appliance vulnerabilities. We formulate a strategy to guarantee a reliability value over time, based on heterogeneous networking and periodically running cost-effective partial node migrations. We use numerical evaluations to test our methodology on two software-defined wide-area networks based on known backbone IP topologies. Our significant findings are the following: First, when the network reliability becomes worse than the service guarantee, it can be restored in most cases by combining appliance reallocation and node migration. Second, our evaluations show a direct relationship between a network reliability value and the cost incurred to guarantee it. Third, we noted that, when using our appliance-to-node allocation strategy to guarantee the same reliability on different networks, their post-failure connectivity depends on the underlying network topology.
Sistemas biométricos multimodales que emplean rasgos audio-visuales

Resumen. Se observa en la actualidad una tendencia muy marcada al empleo de técnicas biométricas (las que incluyen rostro, huellas digitales, geometría de la mano, iris, patrones de retina, firma y voz, entre los más destacados) en los sistemas de identificación/autenticación de personas. Todas estas técnicas presentan diferentes grados de singularidad, permanencia, men-surabilidad, desempeño, aceptacción del usuario y robustez. Por otra parte, diferentes investigaciones sobre sistemas biométricos multimodales han demostrado que mediante su empleo es posible mejorar la carencias de cualquier sistema biométrico unimodal, por lo que desde hace algunos años, proliferan las propuestas para el empleo de dos o más métodos biométricos independientes. En el presente trabajo se analizan aspectos significativos de estos métodos y aproximaciones y se desarrollan breves reseñas, a partir de la búsqueda bibliográfica. Los aspectos abordados incluyen la fusión de información (poniendo el acento especialmente en la identificación y verificación audio-visual de personas), y las técnicas adaptativas y no-adaptativas para la decisión de verificación (utilizando información de habla y de rostro) en condiciones de audio con ruido. multimodal, seguridad de la información.
Reinforcement Learning Based Modulation for Balancing Capacitor Voltage and Thermal Stress to Enhance Current Capability of MMCs

Balancing DC capacitor voltage of many submodules (SMs) is one of the important issues in modular multilevel converter (MMC) systems. In addition, the balance of thermal stress between SMs should be considered to equalize the lifetime expectation of semiconductors and to enhance the current capability of MMC systems. However, it is complicated to balance all the various factors satisfactorily at the same time. Recent machine learning (ML) techniques can achieve optimal results through learning using numerous data acquired in complex environments. Therefore, this paper proposes a new modulation based on reinforcement learning (RL), which is a subclass of ML methods, to optimally balance the capacitor voltage and thermal stress of SMs. A deep Q-network (DQN) agent, which is one of the RL algorithms, is applied in accordance with a nearest-level modulation (NLM), and main features of the DQN agent are described in this paper. The effectiveness of the proposed modulation based on RL is verified by simulations results.
Comparison of Image Feature Detection Algorithms

The key of image processing is to extract feature points and feature vectors by appropriate methods. In order to analyze the application effect of common feature extraction methods in different scenarios, this paper adopts SIFT, BRISK, ORB, KAZE and AKAZE methods to rotate, adjust brightness, blur and zoom images based on two data sets. The operating efficiency, the ratio of feature points before and after operation, the best matching rate and accuracy rate of feature points pair of the five methods are analyzed, and the suggestions for selecting reasonable feature detection methods for different application scenarios are given.
New Method for Injectable Quinine Quality Assurance Control Using a Multi-Spectral Microscope

Africa is the world region that is most affected by malaria. Among the therapies used, injectable quinine is considered to be one of the effective antimalarial drug, however non-quality assured antimalarials clearly have a strong market penetration across Africa. To overcome this problem, it becomes more and more necessary to set up quantitative and qualitative analysis system for antimalarial quality control. The objective of the present investigation is an attempt to use customized multispectral microscope equipped with UV-Visible lasers for injectable quinine quality assurance control routinely. For that, we have established the calibration curve of quinine solution concentration as a function of area under light intensity histogram crossing the solution. From this calibration curve, we can check the conformity of any injectable quinine according to the pharmacopoeia involved. The proposed technique is a promising alternative for drug quality control routinely.
Fabrication of bulk nanostructured silver by spark plasma sintering from nanostructured silver powders

In this research, bulk nanostructured silver was successfully fabricated from nanocrystalled powder by mechanical alloying (MA) and spark plasma sintering (SPS). Mechanical Alloying behavior, changes in structural parameter, and crystal sizes were investigated by XRD. The initial powder and as-milled powder were subsequently consolidated by spark plasma sintering at 700 °C. During MA process, the crystal size decreased from 47 nm to 26 nm. After SPS process, the crystallite size increased to 6 and 21 percent for the samples produced from initial powder and as-milled samples respectively. The highest microhardness was obtained as 102 HV for the sample produced by as-milled powder, with the crystallite size of 50 nm and density of 93%.
Handling High Dimensional Educational Data using Feature Selection Techniques

Huge amounts of data in educational datasets may cause the problem in producing quality data. Recently, data mining approach are increasingly used by educational data mining researchers for analyzing the data patterns. However, many research studies have concentrated on selecting suitable learning algorithms instead of performing feature selection process. As a result, these data has problem with computational complexity and spend longer computational time for classification. The main objective of this research is to provide an overview of feature selection techniques that have been used to analyze the most significant features. Then, this research will propose a framework to improve the quality of students’ dataset. The proposed framework uses filter and wrapper based technique to support prediction process in future study.