Miracle-dz/UniFAR-FTUs huggingface dataset:
Single Electron Transistor Scheme Based on Multiple Quantum Dot Islands: Carbon Nanotube and Fullerene

Single electron transistor (SET) is a nano dimension device that is offered by technology to solve the problem of aggressive scaling in traditional transistors. Its operation speed depends on carrier mobility of its quantum dot. In this research, fullerene (C60) and carbon nanotube (CNT) are utilized as materials of quantum dots in SET. Two SETs with different multiple quantum dots as C60-CNT-C60 and CNT-C60-CNT are modeled and analyzed. The comparison study shows that total length of quantum dots as fullerene diameter and CNT length have indirect effect on its current. Moreover increasing temperature decreases its current while rising of the gate voltage increases its current. In other words, quantum dot length, temperature and gate voltage are parameters which can control SET operation. Furthermore two SETs are simulated and their stability diagrams are analyzed. The simulation results show that C60-CNT-C60 SET has lower coulomb blockade and also it has more reliability and faster operation than CNT-C60-CNT SET.
Understanding executive women´s perspectives on job satisfaction and their different domains

This paper studies gender differences in job satisfaction considering job rank (managers, self-employed and employees) using the Spanish Quality of Life Survey (SQLS) for Spain throughout the period 2006-2010 and the sixth European Working Conditions Survey (EWCS) prepared in 2015, to test if the so-called "paradox of female contented worker" will extend to all ranked positions. Differences in job satisfaction by gender and job rank are analysed at an aggregated level and in terms of satisfaction with salary, promotion prospects, working hours, flexibility, stability, stress and work environment. Econometric estimations, using ordinary least squares method, are carried out and the results show that being a woman increases job satisfaction at an aggregated level. Occupying higher rank positions and being self-employed also increases job satisfaction. However, interactions for females between high and low-level managerial positions have a significant negative influence on job satisfaction. This interaction especially penalizes satisfaction in terms of promotion, working hours, work flexibility and stability.
L’IMPACT INDIVIDUEL PERÇU D’UN LOGICIEL D’AUTOMATISATION D’AUDIT PAR LES AUDITEURS FINANCIERS MAROCAINS : RESULTATS D’UNE ENQUETE EXPLORATOIRE

To meet the challenges of rapid advances in client technology, audit standards urge auditors to use audit technology to increase audit efficiency and effectiveness. However, recent research suggests that audit technology use is fairly low, so, the audit performance can’t be reached. This research proposes to study the acceptance determinants and success of audit technology used by external auditors on their mission. Mobilizing two IS theories: the acceptance of technology at the individual level, including the technology acceptance model (Davis, 1989) and the success of technology at the individual level, the conceptual model, established according to a systemic approach, formalize relations between acceptance determinants, beliefs auditor, satisfaction and the perceived individual impact of EWP. The exploratory factor analysis and internal coherence analysis revealed the unidimensionality of the scales of measurements and eliminated items that reduced psychometric quality measures. Also, the result indicate, firstly the importance of external variables to determinate the acceptance of this technology; Secondly, that the use of EWP have a significant impact on the auditors productivity, audit and service quality.
Audio style conversion using deep learning

ABSTRACT Style transfer is one of the most popular uses of neural networks. It has been thoroughly researched, such as extracting the style from famous paintings and applying it to other images thus creating synthetic paintings. Generative adversarial networks (GANs) are used to achieve this. This paper explores the many ways in which the same results can be achieved with audio related tasks, for which a plethora of new applications can be found. Analysis of different techniques used to transfer styles of audios, specifically changing the gender of the audio is implemented. The Crowd sourced high-quality UK and Ireland English Dialect speech data set was used. In this paper, the input is the male or female wave form and the opposite gender’s waveform is synthesized by the network, with the content spoken remaining the same. Different architectures are explored, from naive techniques and directly training audio waveforms against convolution neural networks (CNN) to using extensive algorithms researched for image style conversion and generation of spectrograms (using GANs) to be trained on CNNs. This research has a broader scope when used in converting music from one genre to another, identification of synthetic voices, curating voices for AIs based on preference etc.
Surface astrochemistry: a computational chemistry perspective

Abstract Molecules in space are synthesized via a large variety of gas-phase reactions, and reactions on dust-grain surfaces, where the surface acts as a catalyst. Especially, saturated, hydrogen-rich molecules are formed through surface chemistry. Astrochemical models have developed over the decades to understand the molecular processes in the interstellar medium, taking into account grain surface chemistry. However, essential input information for gas-grain models, such as binding energies of molecules to the surface, have been derived experimentally only for a handful of species, leaving hundreds of species with highly uncertain estimates. Moreover, some fundamental processes are not well enough constrained to implement these into the models. The proceedings gives three examples how computational chemistry techniques can help answer fundamental questions regarding grain surface chemistry.
Exploring the Effects of Data-Driven Hospital Operations on Operational Performance From the Resource Orchestration Theory Perspective

In the big data era, managing data-driven hospital operations have become one of the most important tasks for healthcare executives, increasing responsiveness to exceptional disruptions such as those caused by the COVID-19 pandemic. However, they are still facing the challenges of how best to orchestrate the digital medical resources for improving operational performance such as cost, delivery, and quality. Therefore, drawing upon resource orchestration theory, this article investigates how hospitals orchestrate data-driven culture (DDC) and digital technology orientation (DTO) to develop big data analytics capability (BDAC) for operational performance improvement. Survey data were collected from 105 hospitals in China and analyzed using structural equation modeling and ordinary least square regression. The results show that DDC has a significant positive impact on DTO. More interestingly, there is no significant interaction effect between DDC and DTO, indicating that DDC and DTO affect BDAC independently, and not synergistically. The results further reveal that BDAC fully mediates the DTO–operational performance relationship. The findings offer useful and timely guidance on how healthcare executives can manage data-driven hospital operations to improve operational performance during and post the COVID-19 pandemic.
Photoinitiated Polymerization-Induced Self-Assembly in the Presence of Surfactants Enables Membrane Protein Incorporation into Vesicles

Photoinitiated polymerization-induced self-assembly (photo-PISA) is an efficient approach to predictably prepare polymeric nanostructures with a wide range of morphologies. Given that this process can be performed at high concentrations and under mild reaction conditions, it has the potential to have significant industrial scope. However, given that the majority of industrial (and more specifically biotechnological) formulations contain mixtures of polymers and surfactants, the effect of such surfactants on the PISA process is an important consideration. Thus, to expand the scope of the methodology, the effect of small molecule surfactants on the PISA process, specifically for the preparation of unilamellar vesicles, was investigated. Similar to aqueous photo-PISA findings in the absence of surfactant molecules, the originally targeted vesicular morphology was retained in the presence of varying concentrations of non-ionic surfactants, while a diverse set of lower-order morphologies was observed for ionic.
Fast Triacylglycerol Screening and Semi-Quantitative Analysis of Fatty Acids in Commercial Oils by DIMS with 18-Crown-6 Ether/Trifluoracetic Acid Dopants

Vegetable oil analyses, especially due to the complexity of the oil components, are commonly laborious, requiring several analytical techniques. In this work, electrospray ionization mass spectrometry with direct injection (DIMS), along with 18-crown-6 ether (crown ether) chelating agent and trifluoroacetic acid (TFA), was used to characterize and semi-quantitatively evaluate commercial vegetable oils. As a result, an unprecedented DIMS method of triacylglycerols (TAGs) analysis for semi-quantitative profiling of fatty acids in commercial oils (e.g., soybean, sunflower, corn, oil, canola), without sample derivatization, was developed. The results of the ion abundances related to the analyzed TAGs, with quantitative percentage analyzed by gas chromatography with flame ionization detector (GC-FID), allowed generating correction factors for each oil. DIMS analysis with crown ether/TFA resulted in the elimination of isobaric interferences from sodium and potassium adducts, facilitating the ion assignments, due to the one-ion-per-molecule observation in the mass spectrum. Chemometric analyses by principal component analysis (PCA) and heatmap, to evaluate the ionic profile of the oils, grouped them accordingly to their TAG content. Olive oil was identified as the most different from the other oils. Overall, a semi-quantitative approach to investigate the vegetable oils, reaching low percentage variation for DIMS, with 2 min analyses and 30 min sample preparation, was proposed.
Time-Domain Characterization and Detection of Open-Circuit Faults for the H-Bridge Power Cell

This article presents the time-domain characterization of semiconductor open-circuit switch faults (OCSFs), such as an open switch with a healthy diode and switch–diode pair open for the H-bridge power cell. The inverter fault signatures under diagonally opposite open switch fault conditions with a healthy diode are approximately similar; therefore, this article presents a detection algorithm with a unique identification of each faulty switch within the H-bridge power cell. The proposed algorithm is also designed to detect and identify multiple OCSFs. The nonideal characteristics of semiconductor switches are considered for the identification of switch faults. The well-known unipolar sinusoidal pulsewidth modulation technique is used for the switching of semiconductor devices for the single power cell. The mathematical expressions have also been derived to find out the effect of the switch fault using a double Fourier integral solution and the switching states. The analytical expressions have been developed for the switched output voltage waveforms under ideal switching conditions. The behavior of the switch faults has been analyzed using inverter output voltage, load current, and total harmonic distortion of the pulsewidth-modulated inverter output voltage.
An Intelligent Hybrid–Integrated System Using Speech Recognition and a 3D Display for Early Childhood Education

In the past few years, people’s attitudes toward early childhood education (PAUD) have undergone a complete transformation. Personalized and intelligent communication methods are highly praised, which also promotes the further focus on timely and effective human–computer interaction. Since traditional English learning that relies on parents consumes more time and energy and is prone to errors and omissions, this paper proposes a system based on a convolution neural network (CNN) and automatic speech recognition (ASR) to achieve an integrated process of object recognition, intelligent speech interaction, and synchronization of learning records in children’s education. Compared with platforms described in the literature, not only does it shoot objects in the real-life environment to obtain English words, their pronunciation, and example sentences corresponding to them, but also it combines the technique of a three-dimensional display to help children learn abstract words. At the same time, the cloud database summarizes and tracks the learning progress by a horizontal comparison, which makes it convenient for parents to figure out the situation. The performance evaluation of image and speech recognition demonstrates that the overall accuracy remains above 96%. Through comprehensive experiments in different scenarios, we prove that the platform is suitable for children as an auxiliary method and cultivates their interest in learning English.
Adsorption of Enzyme for Sulfur Mustard Decontamination by Mesocellular Foam

: With polyoxyethylene-polyoxypropylene-polyoxyethylene (P123) as template, 1,3,5-trimethylbenzene (TMB) as swelling agent and tetramethoxysilane (TEOS) as silica source, mesocellular foam (MCF) with three di-mensional (3D) cage-like mesopores linked by windows was successfully synthesized by hydrothermal method. N 2 isothermal adsorption characterization indicated that the largest pore size was 17.3 nm, and the other structural parameters as window size, specific surface area and pore volume were 8.2 nm, 770.3 m 2 /g, 2.3 cm 3 /g, respectively. MCF was employed as carrier for adsorption of DhaA which is an enzyme for sulfur mustard decontamination. The effect of pH to saturated adsorption capacity of DhaA in MCF was studied and the results showed that the largest loading amount of DhaA was achieved at pH 6.5. The adsorption kinetics followed Elovich kinetic model very well, and rate-determining step of this adsorption process was intraparticle diffusion. Adsorption isotherm curve of DhaA matched Sips model. The catalytic activity and conformation of DhaA changed obviously catalytic activity.
Verificação Automática de Protocolos de Segurança com a ferramenta Scyther

Protocolos de segurança (e.g. Needham-Schroeder, IKE, IPSec, SSH, Kerberos, TLS) representam o alicerce das comunicações do mundo atual. Protocolos como o IKE e o TLS permitem a troca de chaves na internet e propriedades de segurança essenciais para as comunicações (e.g. confidencialidade, integridade e autenticidade). Um dos grandes desafios no projeto desses protocolos é garantir a sua própria segurança, ou seja, garantir que o protocolo seja livre de vulnerabilidades. Atualmente, existem algumas ferramentas desenvolvidas especificamente para a verificação formal automática de protocolos de comunicação e segurança, como a Scyther, CrytoVerif, Tamarin Prover e AVISPA. Entretanto, essas são ainda pouco conhecidas e utilizadas na prática por projetistas de protocolos. Este trabalho tem por objetivo contribuir no fechamento desta lacuna através da introdução e demonstração prática de utilização da ferramenta Scyther, projetada para auxiliar na verificação automática de protocolos de segurança.
The Effect of Chemical Pressure on the Magnetic Ground States of Rare Earth Pyrochlores

The rare earth pyrochlore oxides, with formula R2B2O7, are a chemically versatile family of materials that exhibit a diverse array of magnetic phenomena. In this structure the R and B site cations each form a corner-sharing tetrahedral network, a motif that is prone to intense geometric magnetic frustration. As a consequence of their magnetic frustration, rare earth pyrochlores are observed to host a number of remarkable states such as spin ice and spin liquid states. In this thesis we endeavor to explore the phase diagrams of the rare earth pyrochlores through the lens of chemical pressure. Chemical pressure is applied by varying the ionic radius of the non-magnetic B site cation, which either expands or contracts the lattice, in analogy to externally applied pressure. We apply positive chemical pressure by substituting germanium at the B site and negative chemical pressure by substituting lead at the B site. We also consider the effect of platinum substitution, which has nominally negligible chemical pressure effects. In the ytterbium pyrochlores, we find that positive chemical pressure tunes the magnetic ground state from ferromagnetic to antiferromagnetic. Remarkably, we also find that the ytterbium pyrochlores share a ubiquitous form to their low temperature spin dynamics despite their disparate ordered states. In the terbium pyrochlores, we find that positive chemical pressure promotes ferromagnetic correlations the opposite effect of externally applied pressure. Our studies of platinum pyrochlores reveal that platinum, while non-magnetic, is able to facilitate superexchange pathways. Thus, the magnetic ground states of the platinum pyrochlores are significantly altered from their titanate analogs. The work in this thesis highlights the delicate balance of interactions inherent to rare earth pyrochlore magnetism and shows that chemical pressure is a powerful tool for navigating their phase spaces.
Simulación en laparoscopía avanzada con un modelo de anastomosis entero-entérica

Introducción: la enseñanza de la cirugía atraviesa un cambio de paradigma, siendo el entrenamiento en laparoscopía avanzada uno de sus mayores desafíos. El objetivo de este estudio es describir y evaluar la experiencia de un servicio de cirugía universitario con un modelo de entrenamiento simulado de anastomosis intestinal laparoscópica. Método: tres residentes de cirugía general completaron un programa de entrenamiento de cuatro semanas. Se utilizó un modelo biológico ex vivo en box trainer, evaluando objetivamente la realización de una anastomosis entero-entérica. Resultados: el tiempo de ejecución del procedimiento se redujo en una media de 15 minutos, con una mejoría significativa del desempeño según la escala OSATS. Discusión: la implementación de un programa validado y modificado de simulación en laparoscopía avanzada permitió obtener resultados positivos, utilizando para ello solo el 4% de la carga horaria semanal curricular. El modelo tiene una alta fidelidad, bajo costo y es fácilmente reproducible. Conclusiones: el entrenamiento simulado en laparoscopía es una herramienta obligatoria y beneficiosa durante la formación del cirujano general.
A SURVEY OF SECURITY THREATS IN DISTRIBUTED OPERATING
SYSTEM

— Over the last years, the security into software systems especially in the distributed system becomes complex day by day. The secure and trusted environment is a considerably important subject to address. Different services and resources in the distributed system have to be secure at different levels, for this reason, we have analysed in detail the flaws of the distributed systems, all the security threats, situations where the system at risk faces, and the best possible solutions to secure the distributed system. Globus security mechanism is discussed in detail well as how the authentication can be done and how do we achieve message confidentiality and integrity. Every idea that radiates all sorts of solutions to this matter is verified and well-studied. It provides the proper knowledge to help one understand the meaning of a secure system, the security policies, and the security mechanism.
Inter-Domain Charge Transfer as a Rationale for Superior Photovoltaic Performances of Mixed Halide Lead Perovskites

Organic-inorganic lead halide perovskites containing a mixture of iodide and bromide anions consistently perform better in donor-acceptor heterojunction solar cells than the standard methylammonium lead triiodide material. This observation is counterintuitive, as it is generally expected for photovoltaic materials that heterogeneities and compositional disorder cause reduced carrier diffusion length and conversion efficiency. Here, we combine ultrafast photoinduced electroabsorption and broadband fluorescence up-conversion spectroscopy measurements to scrutinize the carrier dynamics in mixed-cations, mixed-halide lead perovskite thin films. Our results evidence the formation of charge transfer excitons (CTE) across the boundaries of domains of various halide compositions. A global analysis of photoinduced transient Stark signals shows that CTE evolve gradually from Br-rich to I-rich domains over tens to hundreds of picoseconds. Rather than constituting recombination centres, boundaries between domains of various halide compositions appear then to favour charge carrier separation by driving photogenerated holes along channels of decreasing bromide content.
Puma verbs and the Proto-Kiranti verbal agreement system

The purpose of this paper is to overview the historical status of conjugations observed in the Puma language based on a comparison of Proto-Kiranti verbal agreement system. The provenance of Proto-Kiranti affixal agreement paradigms is presented by investigating the conjugations of Puma. While some Puma suffixes are identical with the Proto-Kiranti morphemes, a few are cognate with the Proto-Kiranti reflexes.
Reaction mechanism on Ni-C2-NS single-atom catalysis for the efficient CO2 reduction reaction

Abstract Ni-based single-atom catalysis (Ni-SAC) has been experimentally reported with superior performance in reducing CO2 to CO. However, due to the ambiguities in its structures, the active sites of Ni-SAC that are responsible for superior performance have not yet been resolved. This work investigates the CO2 reduction reaction (CO2RR) mechanism on Ni-SAC by carrying out quantum mechanics (QM) simulation to consider both solvation effects. After exploring multiple possible combinations of N, S, and C, we distinguish a Ni-SAC site with two C, one S, and one N, representing the best performance. The predicted formation energy is closely consistent with experimental onset potential. Our prediction also suggests further improvement by finely tuning the electronics state of metal sites by changing the SAC support. Graphical Abstract
SELE: RSS-Based Siamese Embedding Location Estimator for a Dynamic IoT Environment

Wireless Fidelity (Wi-Fi)-received signal strength (RSS) fingerprints are extensively used for localization in an indoor Internet of Things (IoT) environment. However, RSS fingerprinting-based localization methods face two major challenges. First, the labor-intensive and time-consuming task of constructing a fingerprinting database with a large number of RSS samples for offline training. Second, the RSS values vary due to device heterogeneity and temporal variance caused by the change in access points (APs), device orientation, and environmental factors. These dynamic RSS variations in the online phase decrease localization accuracy. This article proposes a Siamese embedding-based localization method for a dynamic IoT environment. The proposed method provides high localization accuracy with limited RSS samples by utilizing our proposed distance-based sampling method. Also, the Siamese embeddings capture the spatial relations between locations and remain persistent even with the RSS variations in the online phase. This is possible with the help of a lightweight, offline fine-tuning method that requires minimal RSS samples. The proposed method is validated on three real IoT testbeds with RSS variations. It outperforms the existing state-of-the-art methods on two testbeds along with the comparable results on the third.