Miracle-dz/UniFAR-FTUs huggingface dataset:
The Mediating Role of Conflict on Personality Traits and Performance in Ghana

Purpose – The difference in personality may play a significant role in the performance of an employee. And it can equally affect the type of Conflict (Relationship or Task) that an employee quickly gets entangled. This study aims to explore the role of personality traits in determining performance through conflict. Methodology: A random sampling technique was used to gather the data. Using R statistics, this study explored 360 employees of Ghana’s public sector within the capital city – Accra. Findings – According to the results, Openness to Experience and Agreeableness was significantly related to performance. Also, Agreeableness was negatively associated with task and relationship conflict. On the other hand, Conscientiousness and Neuroticism were also negatively associated with both types of conflict. Also, conflict as a mediator wasn’t statistically significant in determining the relationship between personality traits and performance. Practical implications – Knowing and understanding personality traits of employees, play a crucial role in employee performance and the type of perceived conflict. Culture has a possible influence on how employees handle conflict. Originality/value – This is the first research to use conflict as a mediator between personality traits and performance within the context of Ghana and Africa at large. It also adds to literature by investigating the role of personality traits on performance.
A UTILIZAÇÃO DE CLASSIFICADORES DE TEXTO NA
MINERAÇÃO DE IDEIAS AGREGANDO CRITÉRIOS DE
ESPECIALISTAS

Objetivo: A tarefa de buscar uma ideia em uma base de dados quando realizada por um especialista humano consiste em fazer a leitura de cada texto e estabelecer criterios de escolha para classificar textos que possam conter ou nao ideias. O objetivo deste trabalho e aplicar a classificacao de texto na mineracao de ideias com a finalidade de simular a atuacao de um especialista humano, comparando o desempenho dos classificadores de texto Support Vector Machines , Naive Bayes e Decision Trees . Design/Metodologia/Abordagem: O metodo cientifico utilizado neste trabalho caracteriza-se como indutivo. A abordagem e quantitativa e a natureza refere-se a uma pesquisa aplicada. Quanto aos objetivos, a pesquisa e exploratoria por proporcionar maior familiaridade com o problema, com vistas a torna-lo mais explicito ou construir hipoteses. Resultados: A partir dos experimentos praticos realizados conclui-se que os classificadores de textos analisados apresentaram bom desempenho na tarefa de separar uma base de ideias segundo criterios utilizados por especialistas, atraves do aprendizado de maquina. Originalidade/valor: A contribuicao deste trabalho esta fundamentada em agregar conhecimento de especialistas aos sistemas de aprendizado de maquina, mais especificamente aos classificadores de texto aplicados a mineracao de ideias.
International Journal of Food Engineering IDG-FEM Models for Survival and Growth of L . monocytogenes in Camembert Cheese

The cumulative effect of pH and moisture content on the survival and growth of Listeria monocytogenes was studied. Experiments were conducted to determine survival and growth characteristics of L. monocytogenes during ripening of Camembert cheese. Previously developed and verified pH and moisture content models were integrated with a dynamic survival and growth model for L. monocytogenes. In all, three PC-based computational models in MATLAB environment representing three levels of spatial detail were developed for calculating L. monocytogenes population during ripening phase of Camembert cheese. The integrated dynamic growth-finite element method (IDG-FEM) models' predicted survival and growth values were in good agreement with experimental data. The R2 values for the most detailed location-specific, intermediate detail region-specific, and overall section-specific IDG-FEM models were between 0.92 to 0.95, 0.99 and 0.98, and 0.98, respectively. The standard errors for three models between the experimental and predicted values varied from 0.26 to 0.54, 0.28 and 0.52, and 0.14 (CFU/g), respectively.
IMMEDIATE EFFECT OF ALTERNATIVE NOSTRIL BREATHING ON COGNITIVE FUNCTION – A RANDOMIZED CONTROL STUDY

Cognitive functioning deals with the intellectual activity that encompasses mental processes, such as attention, processing speed, learning and memory executive functions, verbal fluency, judgment and evaluation and working memory. Alternative nostril breathing or Nadi-Shodana pranayama is the key to bring about psychosomatic integration, optimizing human performance, overall well being and harmony. This study was designed to evaluate the immediate effect of alternative nostril breathing on cognitive function: attention, memory, learning, and autonomic variables: respiration, blood pressure, heart rate variables. A total of 60 eligible subjects who are new to yoga practice were recruited for this study after satisfying the inclusion and exclusion criteria and further randomized into two groups. The first group (n=30) comprised of yoga intervention, practiced alternative nostril breathing for 20 minutes and the second group (n=30) comprised of breath awareness, practiced breath awareness for 20minutes. Subjects across groups were assessed at the baseline (pre-intervention) and end point (post intervention). Data analysis was done using statistical analysis software. Significant results were observed in case group with respect to cognitive domains: attention questioner<0.001, RVLT<0.001, digit span memory<0.001, anxiety questioner <0.001and autonomic variables: Pulse rate, respiration rate, systolic blood pressure and diastolic blood pressure were decreased showing decrease in sympathetic activity and increase in parasympathetic activity when compared to the control group. Results of the present study showed, significant decrease in the mean HR, LF, LF/HF ratio and SBP and increase in the Mean RR, mean HR RMSSD, pNN50 and HF values in case group when compared to the control which indicates the sympathetic withdrawal with parasympathetic activation shifting the sympatho vagal balance towards parasympathetic dominance there by supporting practice of alternative nostril breathing. The results of the present study indicate the short-term practice of alternative nostril breathing or Nadi-Shodana pranayama induces parasympathetic dominance and improve cognitive function.
Non-Crypto Authentication for Smart Grid Based on Edge Computing

As a new computing architecture, edge computing has gradually penetrated into the smart grid and provide real time monitoring and control. However, as a new type of node arranged in the network, its own security protection has become an incredibly challenging task. Security authentication is the first line of defence for security protection. Due to its fast and light-weight characteristics, physical layer channel information access authentication technology for non-cryptographic packets is a potential identification method for the smart grid terminal access under the edge computing system, in which the real time response is incredibly important. This paper aims to investigate the physical layer authentication method compared with the traditional upper layer authentication technology, and an authentication scheme suitable for smart grid is proposed.
Neutral and charged polymer brushes : A model unifying curvature effects from micelles to flat surfaces

Conformations of neutral and charged brushes on spheres have been explored for diblock and triblock copolymers adsorbed on colloidal particles and associated in micelles. The variation of layer thickness L with adsorbed amount for a wide range of core radii R (0.04 < L/R < 20) agrees well with the blob model of Daoud and Cotton for neutral polymers and a new “electrostatic blob model” for semirigid polyelectrolytes. The latter combines the Daoud and Cotton model with the electrostatic wormlike chain theory for polyelectrolytes to account for chain stiffening and excluded volume interactions inside the blobs.
Public Spending Efficiency in the OECD: Benchmarking Health Care, Education, and General Administration

In many OECD countries, changes in demography and health conditions are putting pressure on public finance. To prevent further expansion of government spending as a percentage of GDP, public spending efficiency will need to be raised. This paper uses data envelopment analysis (DEA) to assess the efficiency of welfare spending (normalized by the working-age population) in a sample of OECD countries around 2012, focussing on health care, secondary education, and general public services. The DEA model has a two input-one output structure, with at least one of the variables representing a composite indicator controlling for country-specific factors (socio-economic environment and lifestyle factors, for example). We find wide dispersion in efficiency measures across OECD countries and provide possible quantified improvements for both output and input efficiency.
Using Raman Spectroscopy and Surface-Enhanced Raman Scattering To Identify Colorants in Art: An Experiment for an Upper-Division Chemistry Laboratory

Surface-enhanced Raman scattering (SERS) studies of art represent an attractive way to introduce undergraduate students to concepts in nanoscience, vibrational spectroscopy, and instrumental analysis. Here, we present an undergraduate analytical or physical chemistry laboratory wherein a combination of normal Raman and SERS spectroscopy is used to identify both inorganic and organic fluorescent colorants in an oil painting. On the basis of their experimental observations, students make procedural decisions to adjust acquisition settings and use SERS, thereby enabling the successful identification of unknowns. This laboratory engages undergraduate students by applying what they have learned about quantum mechanics, nanoscience, and spectroscopy to the real-world, problem-solving context of art conservation.
Band gap‐voltage offset and energy production in next‐generation multijunction solar cells

The potential for new 4‐, 5‐, and 6‐junction solar cell architectures to reach 50% efficiency is highly leveraging for the economics of concentrator photovoltaic (CPV) systems.The theoretical performance of such next‐generation cells, and experimental results for 3‐ and 4‐junction CPV cells, are examined here to evaluate their impact for real‐world solar electricity generation. Semiconductor device physics equations are formulated in terms of the band gap‐voltage offset Woc  (Eg/q) − Voc, to give a clearer physical understanding and more general analysis of the multiple subcell band gaps in multijunction cells. Band gap‐voltage offset is shown experimentally to be largely independent of band gap Eg for a wide range of metamorphic and lattice‐matched semiconductors from 0.67 to 2.1 eV. Its theoretical Eg dependence is calculated from that of the radiative recombination coefficient, and at a more fundamental level using the Shockley‐Queisser detailed balance model, bearing out experimental observations. Energy production of 4‐, 5‐, and 6‐junction CPV cells, calculated for changing air mass and spectrum over the course of the day, is found to be significantly greater than for conventional 3‐junction cells. The spectral sensitivity of these next‐generation cell designs is fairly low, and is outweighed by their higher efficiency. Lattice‐matched GaInP/GaInAs/Ge cells have reached an independently confirmed efficiency of 41.6%, the highest efficiency yet demonstrated for any type of solar cell. Light I‐V measurements of this record 41.6% cell, of next‐generation upright metamorphic 3‐junction cells with 40% target production efficiency, and of experimental 4‐junction CPV cells are presented. Copyright © 2010 John Wiley & Sons, Ltd.
Kristall‐ und Molekülstruktur von SbI3 · 9S3 (9S3 = 1,4,7‐Trithiacyclononan)

SbI3 bildet ein 1:1-Addukt mit 1,4,7-Trithiacyclononan. Die Kristallstruktur enthalt diskrete Komplexe mit verzerrt oktaedrischer Koordination von Antimon(III). Im Vergleich zum molekularen SbI3 ist der SbI-Abstand von 271,9 auf 290,4 pm aufgeweitet. Der mittlere SbS-Abstand betragt 287,5 pm. Die Ebenen durch die drei Iod- und drei Schwefelatome sind nahezu koplanar. Ein signifikanter stereochemischer Einflus des nichtbindenden Elektronenpaares von Sb(III) ist nicht zu erkennen. Crystal and Molecular Structure of SbI3 · 9S3 (9S3 = 1.4.7-Trithiacyclononane). SbI3 forms a 1:1 adduct with 1.4. 7-trithiacyclononane. The crystal structure exhibits discrete complexes with a distorted octahedral coordination of antimony(III). In comparison with molecular SbI3 the SbI distances are elongated from 271.9 to 290.4 pm (mean). The mean value of the SbS distances is 287.5 pm. The planes through iodine and sulfur atoms, respectively, are nearly coplanar. There is no significant stereochemical influence of the Sb(III) lone pair.
An Improved Mask Approach Based on Pointer Network for Domain Adaptation of BERT

Pre-trained BERT model has shown its amazing strength on downstream NLP tasks by fine-tuning. However, the results with fine-tuned BERT will decrease when the model is directly applied to a series of domain-specific tasks. he original fine-tuning method does not consider accurate semantics of tokens in a specific domain. Different from random selecting, we present a more efficient mask method which utilizes a pointer network to decide which tokens should be preferentially masked. The pointer network sorts tokens in a sentence by their recovery difficulty. Then we train a BERT model to predict top tokens that are replaced by [mask] in original sentences. We tested the new training approach on biomedical corpora. Experiments show that the new trained model outperforms the original BERT model in some domain-specific NLP tasks while consuming extra domain corpus.
High gain operational amplifier and a comparator with a-IGZO TFTs

This study presents a novel high gain operational amplifier (op-amp) and a comparator using n -type all enhancement amorphous indium-gallium-zinc-oxide (a-IGZO) thin-film transistors (TFTs). The proposed op-amp employs regulated cascode topology in conjunction with capacitive bootstrap load, which enhances the gain to 159.87% (V/V) as compared to op-amp with bootstrapping load. In addition, common mode feedback is introduced in the circuit which improves the common-mode rejection ratio (CMRR) of the amplifier without hampering the output voltage swing. The proposed op-amp offers a voltage gain of 46.2 dB, phase margin of 67°, CMRR of 51.8 dB, unity gain frequency of 215 kHz and power consumption of 0.22 mW. Furthermore, a novel comparator circuit at a clock frequency of 50 kHz is reported. The power consumption of the circuit is 0.248 mW and it can discriminate a minimum voltage of 50 mV. The performance of the proposed circuits is demonstrated using an analytical model of a-IGZO in Cadence environment with a channel length of 20 µm at a supply voltage of 10 V. Further with the help of the circuits reported in this work, many sensing systems of practical importance can be developed, such as smart packaging and bio-medical wearable devices using flexible electronics.
Polyurethane-Modified Epoxy Monoacrylates Containing Two Different UV-Curable Groups: Preparation and Charaterization

Polyurethane-modified epoxy monoacrylates (PMEMA) containing two different UV- curable groups (double bond and epoxy groups) were synthesized. The changes of NCO groups during the synthesis process of PMEMA were measured by chemical titration method, and its Fourier Transform Infrared (FTIR) spectra were investigated. The results indicated that polyurethane chain segments can be grafted onto the epoxy monacrylates (EMA) by the reaction of NCO and OH groups. The FTIR of PMEMA showed that it contains both double bond of acrylic ester (UV radical curable) and epoxy groups (UV cationic curable).
Particle Size Dependency of Ternary Diagrams at the Nanometer Scale: Evidence of TiO2 Clusters in Fe-Based Spinels

The bulk (Fe,Ti,O) phase diagram is strongly modified at the nanometer scale: instead of the mixture of the rhombohedral and pseudo-brookite phases normally present in the micrometer range, a single fcc phase is stabilized for grain size lower than 25 nm. The existence of a single phase permits the formation of small TiO2 clusters, which cannot happen in micrometer scaled compounds because of cluster growth until phase separation. Such clusters have been studied with techniques revealing order at different ranges. With diffraction experiments (revealing long range order), it has been shown that the crystallographic coherence between the fcc phase and the clusters is broken. With absorption spectroscopy experiments (revealing short range order), it was evidenced that the clusters consist of a compact stack of 4 TiO2 entities. The presence of the fcc matrix around the clusters leads then to a new magic number of 4. This corresponds to a very stable configuration of clusters constrained to reside in an embed.
Garbage Sorting System Based on Composite Layer CNN and Multi-Robots

Object detection technology is the key problem in the garbage sorting system. There are many difficulties in identifying the target in the garbage, such as poor visibility and targets being coverage. The existing image processing methods are difficult to detect the target objects in the garbage sorting system. To solve this problem, this paper proposes a garbage sorting system based on convolution neural network and robots. The CNN network combines the features of three different network layers and predicts the location and angle information of the target objects at the same time, which we called composite layer. Coupled with the training solution of classification regression and angle prediction, the performance of object detection is further improved. The entire sorting system is composed of three subsystems: vision system, electrical system and mechanical system. The vision system is responsible for the image processing and send the position and attitude information to the electrical system. The electrical system controls the different robots to do sorting motion. We construct a TestSet which has 23983 objects to be detected. The experiment results show that our system’s Drop rate is 1.7% and False rate is 4.8%, which is good enough to meet the needs.
Transfer of Radio-Adaptation via Serum: A Preliminary Report

Introduction: Adaptive response is one of the important concepts in radiobiology. The present report aimed to transfer the radio-adaptation via serum. Material and Methods: In total, 50 male adult Wistar rats were randomly divided into 6 groups, including control, serum control, low-dose (100cGy), low-dose/lethal, serum/lethal, and lethal (8Gy). Exposure was carried out by a linear accelerator (Elekta Synergy® Platform) with a 40×40cm field size. The animals were monitored in terms of the endpoints of the survival rate, and at the first stage, the rats were exposed to the low doses of radiation. Subsequently, the serum was injected intraperitoneally under sterile conditions 6 h after low-dose exposure. The Kaplan Meier Survival Curve was used to evaluate the survival rate (P<0.05). Results: There was a significant difference among different groups regarding the survival rates. Moreover, a statistically significant difference was observed between low-dose/lethal and low-dose/serum, low-dose/lethal and lethal, and low-dose/serum and lethal (P=0.001). Similarly, there was a statistically significant difference between the control and experimental groups regarding the survival rates (P=0.001). Conclusion: To the best of our knowledge, this method can lead to immunological responses or unknown mechanisms that result in the increased survival adaptive response to subsequent high-dose radiation.
Assessment of Various Physiological Fluids in Diabetes Diagnosis-A Mini Review

Diabetes mellitus is a metabolic disorder characterized by hyperglycemia due to insulin deficiency or its ineffectiveness. Successful management of diabetes involves constant monitoring of the glycemic status of the patient which is usually done by estimating the glucose concentration in blood. However, drawing blood is always an invasive procedure which has prompted researchers to look at alternative biofluids as a reliable substitute to blood for glucose estimation. This mini review examines various biofluids including urine, tears, sweat, and saliva as possible candidates for glucose estimation in diabetic patients.
Research on Identification Method and Device with Active Immune Attack

The large-scale establishment of charging devices facilitates the use of electric vehicles and promotes the development of the new energy industry. However, the core chips of most domestic charging devices use imported chips. There may be little-known backdoors in the chips, which may hide large loopholes. Once a cyber war occurs, the consequences are unimaginable. At the same time, with the intelligence and informationization of the power grid, various network attack methods are emerging, and the charging device is located in the public environment, which is vulnerable to various attacks. These attacks may sneak into the internal management system of the charging device and steal other user information, or modify your account balance for unlimited charging through virus intrusion, or even invade the power grid, causing grid failure. Aiming at the above problems, this paper adds the network attack detection module based on stack automatic encoder to the charging device to detect the data flow in the charging device in real time, mine and identify the hidden attacks in the data stream, so as to avoid the attacker further intruding the upper system through the security vulnerability of the charging device, and to improve the information security and operation reliability of the charging device, to a certain extent, it also ensures the safety of the power grid.
The effects of iodine and thyroxine administration on the Romney Crossbred ewe

Summary Two trials designed to compare the effects of thyroxine implantations and iodine injected as potassium iodide and Neo-Hydriol (iodised poppy-seed oil) on the Romney ewe, showed that none of the treatments had any significant effect on fleece weight or grade. The following observations were made in the second trial: Heart-rate measurements are highly repeatable, and are proportional to body weight, thus giving a reasonable indication of metabolic rate. An April 60-mg thyroxine implant resulted in a slight but nonsignificant effect on heart rate, body weight, and wool growth. A 90-mg implant in November increased heart rate 66%, and decreased body weight 12 lb, but did not stimulate wool growth. The two iodine treatments resulted in a highly significant effect on the thyroid glands, indicated by decreased cell heights and increased iodine contents, whereas thyroxine implantation slightly reduced cell height, but did not affect the iodine content. Several observations point to the possibility of a bo.
Modeling of Growth Morphology of Core-Shell Nanoparticles

We model shell formation of core-shell noble metal nanoparticles. A recently developed kinetic Monte Carlo approach is utilized to reproduce growth morphologies realized in recent experiments on core-shell nanoparticle synthesis, which reported smooth epitaxially grown shells. Specifically, we identify growth regimes that yield such smooth shells, but also those that lead to the formation of shells made of small clusters. The developed modeling approach allows us to qualitatively study the effects of temperature and supply the shell-metal atoms on the resulting shell morphology, when grown on a pre-synthesized nanocrystal core.