Miracle-dz/UniFAR-FTUs huggingface dataset:
Microbiological quality of cooked skewers sold in the municipality of Adjame in Abidjan (Côte d’Ivoire)

The objective of this study is to evaluate the microbiological quality of skewers sold on the street in order to define an approach to protect consumer health. A consumption survey was carried in the commune of Adjame because in this commune, the sale and consumption of beef skewers meat is widespread. For this study, 108 peoples were interviewed. In the same way, the enumeration of certain microorganisms was carried out. Results had showed that the number of male consumers was equal to that of female consumers (50%) but majority of consumers were single (82%). Among consumers, 52% developed discomfort at least once after eating beef skewers meat. The symptoms of these discomforts were mainly diarrhea (18%), abdominal aches (11%) and vomiting (6%), These discomforts lasted at least 1 day to 3 days and 6 % of these patients were hospitalized. In addition, microbiological analyses reveal the presence of microorganism such as Staphylococcus aureus, Escherichia coli, mesophilic aerobic germs, and coliforms with microbial loads higher than the European Community (EC) standard n°2073/2005 on ready-to eat, notably cold sold skewers. The mesophilic aerobic flora counted after the analysis of the cold-cooked skewers was 9.7±2.7x108 CFU/g and those cooked hot were 6±1.1 x106 CFU/g. So, our samples are highly contaminated. Thus, the sellers and consumers of skewers should receive training in food hygiene. Particular attention should be paid to all causes of food poisoning.
Dynamic survival prediction combining landmarking with a machine learning ensemble: Methodology and empirical comparison

Dynamic prediction models provide predicted survival probabilities that can be updated over time for an individual as new measurements become available. Two techniques for dynamic survival prediction with longitudinal data dominate the statistical literature: joint modelling and landmarking. There is substantial interest in the use of machine learning methods for prediction; however, their use in the context of dynamic survival prediction has been limited. We show how landmarking can be combined with a machine learning ensemble—the Super Learner. The ensemble combines predictions from different machine learning and statistical algorithms with the goal of achieving improved performance. The proposed approach exploits discrete time survival analysis techniques to enable the use of machine learning algorithms for binary outcomes. We discuss practical and statistical considerations involved in implementing the ensemble. The methods are illustrated and compared using longitudinal data from the UK Cystic Fibrosis Registry. Standard landmarking and the landmark Super Learner approach resulted in similar cross‐validated predictive performance, in this case, outperforming joint modelling.
The Effect of Drama-based Pedagogies on K-12 Literacy-Related Outcomes: A Meta-Analysis of 30 Years of Research

The effect of drama-based pedagogies on K-12 literacy-related outcomes: A meta-analysis of 30 years of research. International Journal of Education & the Arts , 21 (30). Retrieved from Abstract A recent national report heartily supported arts integration as an effective, innovative, and cost-efficient way to address teachers’ and students’ needs; however, the report called for a better understanding of when, for whom, and what content areas are best served by arts integration methods. The effectiveness of drama-based pedagogy (DBP), a type of arts integration, has been assessed in previous meta-analyses; however, an updated meta-analysis is warranted. In the present report, we review and meta-analyze thirty years of accumulated research of the effects of drama-based pedagogies on literacy related student outcomes. The findings show a significant positive effect of DBP on achievement, attitudes, 21 st century skills, drama skills, and motivation. In particular, effects are more positive when DBP is led by a classroom teacher over multiple hours of instruction. Limitations and implications are discussed. Megan R. is an Professor Education where she teaches pre-service teacher literacy and special education methods courses. She teaches about using drama-based pedagogies with students with disabilities. She received her Ph.D. in Teaching and Learning from The Ohio State University and an M.A. in Children’s Literature from Hollins University. Her past experiences include numerous teaching opportunities where she utilized drama-based pedagogies to support her students’ literacy learning. Currently, her research focuses on children’s literature, disability studies, and literacy education.
Visible-Light-Absorbing Potassium Niobate-Titanate-Molybdate Ferroelectrics

Through the bulk photovoltaic effect (BPVE), devices based on ferroelectric (FE) perovskite oxides can overcome the Shockley-Queisser efficiency limit for solar cells. For efficient visible-light absorption, these oxides require the usually contradictory properties of small band gap and a ${d}^{0}$ transition metal at the $B$ site in their $A\phantom{\rule{0}{0ex}}B$O${}_{3}$ structure. Here both first-principles calculations and experiment are used to study the cosubstitution of Mo and Ti for Nb in KNbO${}_{3}$. This substitution yields a band gap of 2.2 eV while preserving the FE polarization. The obtained solid solution is a promising absorber material for photovoltaic applications exploiting the BPVE.
TNSA ion acceleration at 1016 W/cm2 sub-nanosecond laser intensity

Micrometric thin targets have been irradiated in vacuum in TNSA (Target Normal Sheath Acceleration) configuration at PALS Laboratory in Prague by using 1016 W/cm2 laser intensity, 1315 nm wavelength, 300 ps pulse duration and different laser beam energies and focal positions. The plasmas produced were characterized by using ion collectors, semiconductor SiC detectors, X-ray streak camera and Thomson parabola spectrometer. Time of flight techniques, time resolved imaging and ion deflection spectrometry were used to characterize the laser-generated non-equilibrium plasma and the electric field driving ion acceleration developed at the rear side of the target. The maximum ion acceleration can be obtained for optimal film thickness depending on the laser energy and on the kind of irradiated targets. Special targets containing nanostructures, showing high absorption and low reflective coefficients, induce resonant absorption effects enhancing the electric acceleration field. The maximum kinetic energy measured for proton ions was above 5.0 MeV and the ion distributions can be fitted with Coulomb-Boltzmann shifted functions.
Prevalence of depression and its associated factors among the doctors working in a private medical college, Trichy- a cross sectional study

Background: Stress is one among the leading health problem throughout the world. Stress due to family problems and work related are often encountered. Among the various professionals, health care providers are found to be more depressed than others. This study was conducted with an objective to study the socio demographic characters of the study participants, to study the depression status of the study participants and to study the association between various factors and depression.Methods: This descriptive cross sectional study done among the doctors working in a tertiary teaching hospital. A total of 150 participants were included in this study. Simple random sampling method was used to identify the study participants.Results: Around 76% of the participants belongs to the age group of 20-30 years of age. 71.3% of the study population were junior residents. Nearly 64% were found to be depressed among which 8% were found to be on severely depressed. Statistical significant association was found between factors like designation and time spending with family with depression.Conclusions: Since stress and burnout became the leading mental health problems, and health care providers posing as a vulnerable group by virtue of their profession. Hence behavioral therapy sessions and stress management programs are to be conducted frequently to screen as well to relieve from the mental health issues.
Human Hand Anatomy-Based Prosthetic Hand

The present paper describes the development of a prosthetic hand based on human hand anatomy. The hand phalanges are printed with 3D printing with Polylactic Acid material. One of the main contributions is the investigation on the prosthetic hand joins; the proposed design enables one to create personalized joins that provide the prosthetic hand a high level of movement by increasing the degrees of freedom of the fingers. Moreover, the driven wire tendons show a progressive grasping movement, being the friction of the tendons with the phalanges very low. Another important point is the use of force sensitive resistors (FSR) for simulating the hand touch pressure. These are used for the grasping stop simulating touch pressure of the fingers. Surface Electromyogram (EMG) sensors allow the user to control the prosthetic hand-grasping start. Their use may provide the prosthetic hand the possibility of the classification of the hand movements. The practical results included in the paper prove the importance of the soft joins for the object manipulation and to get adapted to the object surface. Finally, the force sensitive sensors allow the prosthesis to actuate more naturally by adding conditions and classifications to the Electromyogram sensor.
Vanadium Oxide Electrochemical Capacitors: An Investigation into Aqueous Capacitive Degradation, Alternate Electrolyte-Solvent Systems, Whole Cell Performance and Graphene Oxide Composite Electrodes

Author(s): Engstrom, Allison Michelle | Advisor(s): Doyle, Fiona M | Abstract: Vanadium oxide has emerged as a potential electrochemical capacitor material due to its attractive pseudocapacitive performance; however, it is known to suffer from capacitive degradation upon sustained cycling. In this work, the electrochemical cycling behavior of anodically electrodeposited vanadium oxide films with various surface treatments in aqueous solutions is investigated at different pH. Quantitative compositional analysis and morphological studies provide additional insight into the mechanism responsible for capacitive degradation. Furthermore, the capacitance and impedance behavior of vanadium oxide electrochemical capacitor electrodes is compared for both aqueous and nonaqueous electrolyte-solvent systems. Alkali metal chloride and bromide electrolytes were studied in aqueous systems, and nonaqueous systems containing alkali metal bromides were studied in polar aprotic propylene carbonate (PC) or dimethyl sulfoxide (DMSO) solvents. The preferred aqueous and nonaqueous systems identified in the half-cell studies were utilized in symmetric vanadium oxide whole-cells. An aqueous system utilizing a 3.0 M NaCl electrolyte at pH 3.0 exhibited an excellent 96% capacitance retention over 3000 cycles at 10 mV s-1. An equivalent system tested at 500 mV s-1 displayed an increase in capacitance over the first several thousands of cycles, and eventually stabilized over 50,000 cycles. Electrodes cycled in nonaqueous 1.0 M LiBr in PC exhibited mostly non-capacitive charge-storage, and electrodes cycled in LiBr-DMSO exhibited a gradual capacitive decay over 10,000 cycles at 500 mV s-1. Morphological and compositional analyses, as well as electrochemical impedance modeling, provide additional insight into the cause of the cycing behavior. Lastly, reduced graphene oxide and vanadium oxide nanowire composites have been successfully synthesized using electrophoretic deposition for electrochemical capacitor electrodes. The composite material was found to perform with a higher capacitance than electrodes containing only vanadium oxide nanowires by a factor of 4.0 at 10 mV s-1 and 7.5 at 500 mV s-1. The thermally reduced composite material was examined in both symmetric and asymmetric whole cell electrochemical capacitor devices, and although the asymmetric cell achieved both higher energy and power density, the symmetric cell retained a higher capacitance over 50,000 cycles at 200 mV s-1.
Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal

Intelligent fault diagnosis methods have replaced time consuming and unreliable human analysis, increasing anomaly detection efficiency. Deep learning models are clear cut techniques for this purpose. This paper’s fundamental purpose is to automatically detect leakage in tanks during production with more reliability than a manual inspection, a common practice in industries. This research proposes an inspection system to predict tank leakage using hydrophone sensor data and deep learning algorithms after production. In this paper, leak detection was investigated using an experimental setup consisting of a plastic tank immersed underwater. Three different techniques for this purpose were implemented and compared with each other, including fast Fourier transform (FFT), wavelet transforms, and time-domain features, all of which are followed with 1D convolution neural network (1D-CNN). Applying FFT and converting the signal to a 1D image followed by 1D-CNN showed better results than other methods. Experimental results demonstrate the effectiveness and the superiority of the proposed methodology for detecting real-time leakage inaccuracy.
INITIAL PROFICIENCY AND L2 GRAMMAR DEVELOPMENT DURING SHORT-TERM IMMERSION ABROAD

Abstract The first goal of this study was to examine how individual differences in initial L2 proficiency help explain L2 grammar development in oral production during short-term immersion abroad. The second goal of the study was methodological, and evaluated challenges that can result from operationalizing learners’ initial L2 proficiency as pretest performance on outcome measures (as opposed to independent proficiency measures) in analyses of L2 change. L2 Spanish learners participating in summer study abroad completed an elicited imitation task and two oral production tasks. Production data were analyzed for changes in relevant grammatical complexity and accuracy dimensions. Results indicate that learners with higher initial L2 proficiency experience greater L2 grammar advancement from short-term immersion, and that pretest performance can be an unreliable operational estimate of initial proficiency when analyzing L2 gains. We discuss findings following cognitive accounts of SLA, and highlight methodological implications for further research in immersion contexts and beyond.
An Academic Model for Building Effective Faculty Teams to Promote Excellence in Nursing Education

As a result of the national movement to advance nurses at the doctoral level, and the concurrent shortage of nursing faculty, the role of the DNP prepared nurse in the academic setting continues to evolve. At our School of Nursing, the need to define, understand and utilize the various faculty roles led to the development and implementation of an Academic Model for Nursing Education. This mixed-method research study was conducted to identify the factors that contribute to an effective culture in academia. The findings from the survey and focus groups indicated our model had a positive association on instructional design, teaching, administrative processes, adjustments of college tenure and promotion, clinical partnerships, shared faculty teaching loads, and succession planning. Focus group findings included the unanticipated benefits of improved faculty engagement, empowerment, collaboration, and faculty mentoring. Our academic practice model is reflective of the changes already occurring in collaborative clinical pathways in healthcare systems. The expected benefits of our academic practice model and those occurring in healthcare share comparable outcomes. These may include improving nursing scholarship, patient and student outcomes, strengthening the position of nursing in organizations and the broader community through enhanced leadership, providing parity with other healthcare disciplines, and improving the overall image of nursing [1]. Our Academic Model for Nursing Education is reflective of current healthcare practices, addresses the nurse faculty shortage while promoting faculty collaboration and job satisfaction.
Strategies for co-workership retention

ABSTRACT Co-workership is a Scandinavian working life concept that is based on post-bureaucratic organizing, the cornerstones of which are decentralization and a vision of responsible individual autonomy and participation. Research has shown positive results from implementing/developing co-workership in organizations; however, in terms of the post-bureaucratic character of the concept, it might be more challenging to retain positive results than to succeed with short-term development and implementation. This study aimed to describe and analyse the retention of co-workership. A qualitative case study based on interviews and observations was conducted at an elderly care unit that had attracted a lot of attention for its organizational development, largely due to co-workership. The present study focused on retention of the active co-workership that the former development had resulted in. Four main challenges were identified as central to co-workership retention. The paper contributes to the scientific community concerning retention of organizational development efforts, particularly by emphasizing the concept of co-workership retention, which is crucial for producing excellent operational performance over extended periods of time.
Azimuthal Anisotropy of the Crust and Uppermost Mantle Beneath Alaska

This study presents an azimuthally anisotropic shear wave velocity model of the crust and uppermost mantle beneath Alaska, based on Rayleigh wave phase speed observations from 10 to 80 s period recorded at more than 500 broadband stations. We test the hypothesis that a model composed of two homogeneous layers of anisotropy can explain these measurements. This “Two‐Layer Model” confines azimuthal anisotropy to the brittle upper crust along with the uppermost mantle from the Moho to 200 km depth. This model passes the hypothesis test for most of the region of study, from which we draw two conclusions. (a) The data are consistent with crustal azimuthal anisotropy being dominantly controlled by deformationally aligned cracks and fractures in the upper crust undergoing brittle deformation. (b) The data are also consistent with the uppermost mantle beneath Alaska and surroundings experiencing vertically coherent deformation. The model resolves several prominent features. (1) In the upper crust, fast directions are principally aligned with the orientation of major faults. (2) In the upper mantle, fast directions are aligned with the compressional direction in compressional tectonic domains and with the tensional direction in tensional domains. (3) The mantle fast directions located near the Alaska‐Aleutian subduction zone and the surrounding back‐arc area form a toroidal pattern that is consistent with mantle flow directions predicted by recent geodynamical models. Finally, the mantle anisotropy is remarkably consistent with SKS fast directions, but to fit SKS split times, anisotropy must extend below 200 km depth across most of the study region.
Raman investigations on marker pen inks

Characterization and conservation of materials used in contemporary art are a big challenge for scientists and restorers because of the huge variability and the large heterogeneity of their use and compositions. The aim of this work is to contribute to the knowledge of the composition of new materials extensively applied in contemporary artworks, namely the marker pen inks. Marker pen inks represent a serious problem for restorers as they fade in a few years, changing colour and shade. Moreover, they are often soluble in the commonly used solvents. This research is performed in collaboration with the Fondazione Federico Fellini, owner of more than 500 original drawings of the famous movie director – most of them realised by marker pens. In this work, we report, for the first time, Raman spectra of marker pen original and ‘laboratory’ drawings. Studies of the ‘laboratory’ samples have been complemented by thin layer chromatography in order to separate the complex colouring mixture into its individual components. Raman spectra of yellow, orange and red standard samples of two consumer and two professional brands have been recorded and identified. A comparison among old and new marker pen inks composition is discussed, and inferences are drawn about the brand likely used in the two originals. Interestingly, we notice that food additives are often used as colour agents in marker pen inks and report here their standard Raman spectra. This study puts into evidence the need for a reliable standard database of pigments and dyes. Copyright © 2012 John Wiley & Sons, Ltd.
Optimisation strategy of roadside units deployment towards VANET localisation with dead reckoning

: In vehicle ad-hoc networks (VANETs), the full coverage of roadside units (RSUs) is not necessary with the assistance of dead reckoning (DR) for the RSU-based vehicle localisation. This study proposes an optimisation strategy of RSUs deployment, which seeks an optimal RSU layout ensuring the best localisation accuracy with a minimum number of RSUs. With the assistance of DR, first, the average geometric dilution of precision (GDOP) for a specific localisation region is derived through a non-linear recursive model. Then the RSUs deployment is formulated into an optimisation problem, and the objective is as a function of the average GDOP and deploying interval. Finally, the optimisation problem is solved by a centre particle swarm optimisation (CPSO) algorithm. The convergence and stability of CPSO are evaluated via simulations. Furthermore, simulations also show that the proposed strategy can optimise the localisation accuracy of RSUs deployment in the VANET scenario.
Optical investigation of ethanol and n-heptane dual-fuel partially premixed combustion in a reciprocating engine

As a result of recent focus on the control of Low Temperature Combustion (LTC) modes, dual-fuel combustion strategies such as Reactivity Controlled Compression Ignition (RCCI) have been developed. Reactivity stratification of the auto-igniting mixture is thought to be responsible for the increase in allowable engine load compared to other LTC combustion modes such as Homogenous Charge Compression Ignition (HCCI). The current study investigates the effect of ethanol intake fuel injection on in-cylinder formaldehyde formation and stratification within an optically accessible engine operated with n-heptane direct injection using optical measurements and zero-dimensional chemical kinetic models. Images obtained by Planar Laser Induced Fluorescence (PLIF) of formaldehyde using the third harmonic of a pulsed Nd:YAG laser indicate an increase in formaldehyde heterogeneity as measured by the fluorescence signal standard deviation. The experimental observations are complemented by a discussion regarding definitions of “reactivity”.