Miracle-dz/UniFAR-FTUs huggingface dataset:
Validation of an Italian questionnaire to assess sleep disorders: The Sleep Disorders Score Questionnaire (SDS-Q)

Introduction: Many occupational factors disturb sleep. This can have significant consequences because sleep problems mediate the relationship between work stress and health disorders. The objective of this study is to validate the Sleep Disorders Score Questionnaire (SDS-Q), a questionnaire designed to measure sleep disorders and their consequences in workers. Methods: A cross-sectional study was carried out. Validity was analysed by exploratory factor analyses, and reliability by Cronbach’s alpha. Results: The study was conducted with 240 male police officers. Principal component analysis confirmed the existence of 3 subscales, regarding Insomnia symptoms, Excessive daytime sleepiness (EDS) and Obstructive Sleep Apnoea (OSA). The Cronbach’s alpha values of the subscales Insomnia symptoms (IS), Sleepiness symptoms (SS) and Apnoea symptoms (AS) were acceptable. Discussion and Conclusions: The Insomnia, Sleepiness and Apnoea subscales of SDS-Q have demonstrated good psychometric properties in terms of reliability and validity. The SDS-Q is a valid and reliable tool for assessing workers’ sleep problems and disorders. Journal of Health and Social Sciences 2020; 5,4:525-532 The Italian Journal for Interdisciplinary Health and Social Development
Artificial Intelligence Assisted Noncontact Microwave Sensor for Multivariable Biofuel Analysis

Multivariable component analysis is one of the most challenging topics in the area of microwave resonator based sensors. In this article, a new approach is developed for introducing new independent features for analyzing the volumetric fraction of water, ethanol, and gasoline in E85 biofuel samples. The novel features are extracted based on a multiharmonics measurement of frequency and amplitude variations of the transmission response of the resonator over multiple harmonics due to nonlinearity and uniqueness of the permittivity spectrum of different materials. For the experiments, 60 samples of biofuel mixtures are prepared with randomly chosen percentages of each of the components. An artificial neural network is trained with the extracted features from 40 of the samples and tested over the remaining 20 samples. The average relative error in determining the water concentration in the biofuel samples of as low as 0.09% is achieved. The experimental results verify the capability of the sensor for selective analysis of all the components of a multivariable mixture simultaneously.
Enhanced Microwave Induced Thermochemical Conversion of Waste Glycerol for Syngas Production

Glycerol waste from biodiesel production can be converted to syngas (CO+H2) via a thermochemical conversion process. In this study, microwave was used to initiate a glycerol conversion reaction in a specially fabricated quartz tube reactor with a silicon carbide bed as the microwave absorber. A nickel-based catalyst and steam were added to the reacting bed to enhance production of hydrogen. By adjusting the microwave power level from 110 to 880 watt (W), the reaction temperature of 500°C to more than 1400°C could be rapidly achieved within a few minutes, which is much faster than heating by conventional furnaces. The gasification reaction commenced by feeding raw material continuously through the hot silicon carbide bed at a rate of 1 g/min with the O2 to fuel ratio varying from 0-0.25. The overall time for each trial was 20-30 minutes including preheating of the bed material. In contrast to typical biomass gasification, char and tar yields were small in most runs. In general, glycerol waste yielded higher syngas when compared with pure glycerol conversion. Complete conversion to gas product may be achieved at a power level of 440W. The maximum syngas production from glycerol waste without a catalyst was more than 23.98 L over 20 min run at 660 W with 0.25 O2 to fuel ratio. Overall content of other hydrocarbon gases was around 3-28 vol.% depending on operating conditions and raw material. Lower heating values (LHV) of product gas for glycerol waste were much higher for runs at 1.0 L/min carrier gas flow, ranging from 3.75-17.64 MJ/m3 while relatively stable LHV of 1.96-5.88 were obtained from 2.0 L/min flow. The addition of a catalyst significantly increased gas production at lower wattage runs where overall conversions were comparable to those of higher wattage experiments without catalysts. The maximum total conversion and LHV were obtained from 1%Ni/SiC catalyst at a reaction temperature of 600°C (330W) and no external O2 with a gas product heating value of 9.18 MJ/m3 and 1.32 H2 to CO ratio. From these results, the novel microwave-induced heating technique can be considered as an efficient option for conversion of glycerol waste via the gasification process to acceptable quality syngas.
Darstellung und Charakterisierung von N(CH2PPh2)3, N(CH2PPh2)3Mo(CO)3 und [HN(CH2PPh2)3Mo(CÖ)3]BF4 / Preparation and Characterisation of N(CH2PPh2)3,N(CH2PPhi)3Mo(CO)3 and [HN(CH2PPh2)3Mo(CO)3]BF4

The synthesis of N(CH2PPh2)3 (1) and its spectroscopic properties are reported. Reaction of N(CH2PPh2)3 with (CH3CN)3Mo(CO)3 leads to N(CH2PPh2)3Mo(CO)3 (2). The cationic complex [HN(CH2PPh2)3Mo(CO)3]+ (3) is obtained by protonating the N atom of 2 with aqueous HBF4. The spectroscopic and structural properties of 2 and the cation 3 are compared. The results indicate an interaction of the ligand N atom and the Mo atom through space over more than 350 pm. It is shown from IR data that 2 is fixed on silicagel by hydrogen bonding.
Comparative analysis of Cardio-vascular endurance between the male raiders and stoppers of circle style kabaddi

The purpose of this study was to compare Cardio-Vascular endurance between the male raiders and stoppers of circle style kabbadi. With the purposive sampling technique a total two hundred sixteen (103 raiders and 113 stoppers) of circle style kabaddi were taken as subjects. The results were obtained through the SPSS version 21.0. In this study the 600 Meters Run Test was used to measure the Cardio-Vascular endurance of the players. The study had been analyzed with the help of mean, SD, Levene's test for equality of variances and the comparison between groups was done with the help of t-test. The study revealed that on the basis of the finding male raiders and stoppers were not possessing same degree of Cardio-Vascular endurance and raiders have more ability of Cardio-Vascular endurance than stoppers.
Rational design on D–A conjugated P(BDT–DTBT) polymers for polymer solar cells

Solution-processable D–A conjugated polymers are proving particularly promising in bulk heterojunction solar cells. Among these, P(BDT–DTBT) and their derivatives with benzodithiophene (BDT) as the donor unit and benzothiadiazole (DTBT) as the acceptor unit are the most commonly studied conjugated polymers due to their excellent photovoltaic properties. There have been a lot of reports recently on the design and structural organization of P(BDT–DTBT) for solar cells, and it has been demonstrated that one of the critical issues for achieving high performance is the rational molecular design of P(BDT–DTBT) polymers. In this review, we focus on the various structural modifications and photovoltaic properties of the resulting P(BDT–DTBT) polymers. We hope that this review will give some inspirations for high-performance P(BDT–DTBT) polymers and be an important guideline for the design of photovoltaic conjugated polymers.
Non Invasive Techniques for the Investigation of Foxing Stains on Graphic Art Material

Les taches jaunes et brunes, rondes ou de formes irregulieres que l'on appelle taches de moisissure ont ete souvent decrites dans les ouvrages de litterature specialisee relatifs a la conservation et a la restauration. Cependant nous n'avons toujours pas d'explication a leur sujet qui serait acceptee par le monde scientifique en general. Plusieurs hypotheses ont ete emises concernant leur origine mais nous deplorons un manque d'evidence du point de vue chimique et des preuves experimentales. Dans notre etude nous avons utilise deux techniques non-agressives pour l'identification chimique des taches de moisissure afin de definir objectivement les criteres pour la taxonomie de ces taches. La fluorescence donne peu d'informations chimiques mais s'il s'averait que les composes fluorescents etaient les precurseurs des substances brunes, alors les mesures quantitatives de fluorescence pourraient etre d'un interet majeur a titre preventif pour la conservation. La FTIR spectroscopie fournit davantage d'informations du point de vue chimique et dans cette mesure est un instrument tres approprie pour la taxonomie des taches de moisissure. Comme plusieurs combinaisons chimiques pourraient se superposer dans un seul et meme domaine on discute l'interpretation des spectres FTIR
MMHAR-EnsemNet: A Multi-Modal Human Activity Recognition Model

In this article, we propose a new deep learning model named as MMHAR-EnsemNet (Multi-Modal Human Activity Recognition Ensemble Network) which makes use of four different modalities to perform sensor-based Human Activity Recognition (HAR). Two separate Convolutional Neural Networks (CNNs) are made for skeleton data. While one CNN and one LSTM is trained for RGB images. For Accelerometer and Gyroscope data first it is converted to signal diagram then another CNN model is trained. Finally, all the outputs of the said models have been used to form an ensemble so that performance of the HAR model gets improved. The proposed model has been evaluated on two standard benchmark datasets namely UTD-MHAD and Berkeley-MHAD which contain four different modalities of input information. Experimental results confirm that the MMHAR-EnsemNet model has outperformed some recently proposed models considered here for comparison. Source code of this work can be found at: https://github.com/abhi1998das/MMHAREnsemNet.
Applying network analysis to the social media communication of the Youth Olympic Games and the Olympic Games

: This study examined the social media interactions between online stakeholders and the Youth Olympic Games (YOG) and the Olympic Games (OG). The investigation observed what type of users exist as network members within the organisations’ social networks (i.e., Twitter), analysed the network structures as they relate to the users engaged with the organisations, and mapped the network members and their online relationships to reveal how the network formations facilitate the social media interactions. Python was used to mine the data and create adjacency metrics and UCINET 6.627 and NetDraw were utilised for analytical procedures and visual representations of the networks. Key findings revealed that for the YOG there has been an evolution with regard to the structure and complexity of the network and that national sport organisations made up one of the key stakeholders for the YOG in comparison to other key stakeholders (e.g., media, Olympians, celebrities) for the OG.
Ultrawideband Conformal Transmitarray Employing Connected Slot-Bowtie Elements

In contrast to using multilayer frequency selective surface (FSS) elements or tightly coupled elements, a novel technique is introduced here to achieve ultrawideband planar and conformal transmitarrays, which are based on connected elements like those used in connected arrays. In particular, the elements consist of a horizontally connected slot-bowtie and vertical meander slot-lines. The elements are capable of achieving a 360° phase variation range at the highest frequency 17 GHz with the transmission loss less than 3 dB from 6 to 17 GHz. The transmitarrays have been designed, fabricated, and measured in both planar and conformal versions. Stable boresight radiation patterns from 6 to 17 GHz have been obtained for both antennas. Compared to conformal transmitarrays using multilayer FSS elements, the proposed solution has a much wider bandwidth of radiation patterns. Good agreement has been found between simulation and measurement.
Antiviral agents against COVID-19: structure-based design of specific peptidomimetic inhibitors of SARS-CoV-2 main protease

Despite the intense development of vaccines and antiviral therapeutics, no specific treatment of coronavirus disease 2019 (COVID-19), caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently available. Recently, X-ray crystallographic structures of a validated pharmacological target of SARS-CoV-2, the main protease (Mpro also called 3CLpro) in complex with peptide-like irreversible inhibitors have been published. We have carried out computer-aided structure-based design and optimization of peptidomimetic irreversible α-ketoamide Mpro inhibitors and their analogues using MM, MD and QM/MM methodology, with the goal to propose lead compounds with improved binding affinity to SARS-CoV-2 Mpro, enhanced specificity for pathogenic coronaviruses, decreased peptidic character, and favourable drug-like properties. The best inhibitor candidates designed in this work show largely improved interaction energies towards the Mpro and enhanced specificity due to 6 additional hydrogen bonds to the active site residues. The presented results on new SARS-CoV-2 Mpro inhibitors are expected to stimulate further research towards the development of specific anti-COVID-19 drugs.
Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning

Proactive taxi dispatching is of great importance to balance taxi demand-supply gaps among different locations in a city. Recent advances primarily rely on deep reinforcement learning (DRL) to directly learn the optimal dispatching policy. These works, however, are still not sufficiently efficient because they overlook several pieces of valuable context information. As a result, they may generate quite a few improper actions and introduce unnecessary coordination costs. To improve existing works, we present COX – a context-aware taxi dispatching approach that incorporates rich contexts into DRL modeling for more efficient taxi reallocations. Specifically, rather than simply dividing the service area into grids, COX proposes a road connectivity aware clustering algorithm to divide the road network graph into zones for practical taxi dispatching. In addition, COX comprehensively analyzes zone-level taxi demands and supplies through accurate taxi demand prediction and timely updates of taxi statuses. COX improves the DRL modeling by integrating these derived contexts, e.g., state representation with complete demand/supply data and sequential action generation with full coordination among idle taxis. In particular, we implement an environment simulator to train and evaluate COX using a large real-world taxi dataset. Extensive experiments show that COX outperforms state-of-the-art approaches on various performance metrics, e.g., on average improving the total order values by 6.74%, while reducing the number of unserved taxi orders and passengers’ waiting time by 4.92% and 44.84%, respectively.
Morphological Origin of Charge Transport Anisotropy in Aligned Polythiophene Thin Films

The morphological origin of anisotropic charge transport in uniaxially strain aligned poly(3‐hexylthiophene) (P3HT) films is investigated. The macroscale field effect mobility anisotropy is measured in an organic thin film transistor (OTFT) configuration and compared to the local aggregate P3HT mobility anisotropy determined using time‐resolved microwave conductivity (TRMC) measurements. The field effect mobility anisotropy in highly aligned P3HT films is substantially higher than the local mobility anisotropy in the aggregate P3HT. This difference is attributed to preferentially aligned polymer tie‐chains at grain boundaries that contribute to macroscale charge transport anisotropy but not the local anisotropy. The formation of sharp grains between oriented crystalline P3HT, through tie chain removal by thermal annealing the strained aligned films, results in an order of magnitude drop in the measured field effect mobility for charge transport parallel to the strain direction. The field effect mobility anisotropy is cut in half while the local mobility anisotropy remains relatively constant. The local mobility anisotropy is found to be surprisingly low in the aligned films, suggesting that the π−π stacking direction supports charge carrier mobility on the same order of magnitude as that in the intrachain direction, possibly due to poor intrachain mobility through chain torsion.
Water Activities and Osmotic Coefficients of Aqueous Solutions of Five Alkylaminium Sulfates and Their Mixtures with H2SO4 at 25oC

Alkylaminium sulfates are frequently detected in ambient aerosols, and are believed to be important in the nucleation of new particles in the atmosphere, despite the comparatively low gas phase concentrations of amines. In this study, water activities and osmotic coefficients have been measured, using a chilled mirror dew point technique, of aqueous mixtures of sulfuric acid and the following alkylaminium sulfates: methylaminium, ethylaminium, dimethylaminium, diethylaminium, and trimethylaminium sulf-ate. The samples were prepared by mixing solutions of the five corresponding amines and aqueous sulfuric acid and determining the exact aminium to sulfate molar ratios by ion chromatography. The results were correlated using an extended Zdanovskii–Stokes–Robinson equation to enable concentration/water activity rela-tionships to be calculated over the entire composition range from pure aqueous sulfuric acid to pure aqueous aminium sulfate. Water activities and osmotic coefficients for aminium:sulfate ratios of 1:1 (the bisulfate salts) and lower showed great similarity with ammonium bisulfate, but osmotic coefficients for the 2:1 ratio (the aminium sulfates) were significantly larger (and water activities lower) than for ammonium sulfate. These results differ from those obtained in Clegg et al.'s (2013) study. The relative values of the osmotic coefficients, in concentrated solutions, suggest that the numbers of methyl or ethyl groups in the aminium ion may have a stronger lowering effect on water activity than the alkyl chain length. Copyright 2015 American Association for Aerosol Research
Optimal pump selection for variable speed operation in water distribution network

The optimization of pumping stations operation in water distribution networks has been largely studied, especially with the development of speed drivers, which allowed the machines to adjust the hydraulic power inserted to the system according to the demand requirements. Although this approach results in high benefits, the original characteristics of pumps remains the same. Consequently, the pumps can be operating in a range of suboptimal efficiency. Thus, this paper will evaluate the benefits that an optimized pump selection can bring for variable speed operation. The selection of the pumps best efficiency point and the number of pumps operating in parallel are defined applying Particle Swarm Optimization (PSO) to minimize the energy costs of the system. For the case study, the results show that there is no benefit when more pumps are operated in parallel, and that a flexible operational routine significantly reduces the energy expenses, especially when the pump is selected for this purpose.
Study on the gas sensitivity of vanadium-doped molybdenum disulfide to mustard gas

As a graphene-like material, molybdenum disulfide has similar properties to graphene, but due to its excellent properties such as adjustable band gap, molybdenum disulfide has a broader application in many aspects (such as gas sensors). With the deepening of research, molybdenum disulfide cannot fully meet the needs of researchers due to defects and other reasons. Therefore, researches on doping and compounding of molybdenum disulfide have gradually attracted attention. At present, most of the research on gas sensitivity has focused on harmful gases (such as nitrogen dioxide, ammonia and carbon monoxide, etc.). There are few studies on the erosive chemical toxic mustard gas. In this paper, vanadium-doped molybdenum disulfide were prepared based on chemical vapor deposition, and the gas-sensitive response of vanadium-doped molybdenum disulfide to mustard gas was studied.
In situ forming biodegradable electroactive hydrogels

Electroactive injectable degradable hydrogels have great potential as bioactive scaffolds for tissue regeneration. We present the development of a series of in situ forming biodegradable electroactive hydrogels which were synthesized by in situ crosslinking of gelatin-graft-polyaniline (GP) by genipin at body temperature. The chemical structure and electroactivity of the GP co-polymers was confirmed. The formation of in situ hydrogels was demonstrated by the test tube inversion method and rheology measurement. Gelation time, swelling ratio and degradation rate of the hydrogels were controlled by the polyaniline content and genipin content. The conductivity of the hydrogels in the swollen state increased with increasing the polyaniline content in the materials. Interestingly, the hydrogels exhibited a linear release profile of in situ encapsulated diclofenac sodium. The non-cytotoxicity of the hydrogels was confirmed via cell adhesion and proliferation by using bone marrow mesenchymal stem cells and rat C2C12 myoblast cells. These in situ formed degradable electroactive hydrogels represent a new class of biomaterials and as biomimetic scaffolds they have great potential for sophisticated tissue engineering, such as bone, muscle and neural regeneration.
Hydration of Li+ ion. An ab initio molecular dynamics simulation

Ab initio Car–Parrinello molecular dynamics simulations of a Li+ ion in water have been carried out using the density-functional theory with Becke–Lee–Yang–Parr (BLYP) functional and ultrasoft Vanderbildt pseudopotentials. Both structural and dynamical properties of Li+ have been studied in detail and compared with available neutron scattering and spectroscopic data. Excellent agreement is obtained with the existing experimental data for the structure of the first hydration shell around the Li+ ion. Spectral features of bound water are compared to those of bulk water. Reasonable agreement is obtained with IR and Raman experiments. The ab initio simulation results have also been used to derive a Li+–water interaction potential. The best fit of the data gave a simple single-exponential potential function, which reproduces very well the liquid structure from the original ab initio simulations. This potential model, together with the simple point charge (SPC) water model, was applied to calculate the hydratio.
VLE and LLE Data for the System Cyclohexane + Cyclohexene + Water + Cyclohexanol

The ternary system cyclohexene + water + cyclohexanol is currently being studied with the aim of carrying out the reaction of cyclohexene and water to cyclohexanol in a reactive distillation column. The challenge this system poses for such a reactive separator lies in the liquid−liquid phase splitting behavior, which adds a third effect in addition to reaction and distillation. Cyclohexane is added as a fourth component into these studies, representing any C6 inerts. To be able to describe the activities of all four components, measurements were conducted of the liquid−liquid and vapor−liquid equilibria, and appropriate NRTL parameters matching both vapor−liquid and liquid−liquid phase splitting behavior were identified.