Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of gender perception regarding Performance Management Systems in the organisations

† This paper aims at studying the similarities or differences in gender perception on various parameters of performance appraisal system in their respective organisations. Data has been collected from 150 employees engaged in private sector with minimum 1 year of experience in a particular organisation. The respondents belong to different types of organisations ranging from IT, pharmaceutical, education, Textile etc. The result of the research suggests that the Gender perception varies largely due to failure of organisation to create a healthy culture to promote gender sensitization, and the Gender perception is quite similar due to transparent Performance Management System and Policy. The significant difference in Gender perception is in the area of development planning. The study found that this is due to lower attention paid in career planning of one of the gender. Besides this, gender perception varies in the areas of Job Analysis, Gender sensitization at work place and consulting employees in finalization of decision making process. Apart from these difference Gender perception was found to be similar in many areas such as satisfaction on goal setting, performance evaluation, 360 degree feedback, Training received, Reward and Incentives. This suggests that the organisational policies are fair and equitable. Also the perception is found to be similar in about the understanding of Performance Management System of the organisation, mentoring process in the organisation, the compensation given to the employees. These evidences regarding similarities and differences in the perception of employees regarding the system indicate that the organisations want to implement the fair and equitable Performance Management System but they fail to create an environment within their organisation that could encourage its employees to implement suitable Performance Management System.
The Most Efficient Classifiers for the Students’ Academic Dataset

Educational institutions contain a vast collection of data accumulated for years, so it is difficult to use this data to solve problems related to the progress of the educational process and also contribute to achieving quality. For this reason, the use of data mining techniques helps to extract hidden knowledge that helps in making the decisions necessary to develop education and achieve quality requirements. The data of this study obtained from the College of Business and Economics at Qassim University. Three of the classifiers were compared in this study Decision Tree, Random Forest and Naive Bayes. The results showed that Random Forest outperforms other algorithms with 71.5% of Precision, 71.2% F1-score, and also it got 71.3% of Recall and Classification Accuracy (CA). This study helps reduce failure by providing an academic advisor to students who have weaknesses in achieving a high-Grade Point Average (GPA). It also helps in developing the educational process by discovering and overcoming weaknesses.
DEGREE PROGRAMME IN MECHANICAL ENGINEERING

This thesis attempts to investigate the effect of the implementation of Flettner rotors in the topology of the cruise ship Silja Serenade, which, in the year of this thesis dissertation, travels from Helsinki to Stockholm. The aim is the implementation of simulation models written in Matlab that simulate the behaviour of the ship topologies’ components, with the goal of minimising the global fuel consumption. The models refer to a particular time period defined by the provided data, but the structure is completely general and can be applied to the most different data and time periods, and for every ship. The topologies will consider the presence of a battery and a shaft generator. In the first part of this work, the literature part is described, covering the reasons of fuel consumption’s restrictions, the Flettner rotor’s old and recent history, the fundamentals of the ships’ topologies and a brief introduction to the optimisation theory. Those chapters are essential in order to comprehend what are the motivations for the research topic and how the work is developed. The second part includes the building of the optimisation models, the logic that they follow and the results. Each component of the topologies is explained separately, clarifying the assumptions taken over them and explaining why they are reasonable. The optimisation models are explained step by step, discussing why each decision is taken and how they influence the final results. In the final part, final conclusions are drawn. Results compare the case of different topologies in order to establish firmly the impact of the various topologies arrangements on the total fuel consumption, with a special focus on the effects that the Flettner rotors’ implementation has on it.
Microglial heterogeneity: distinct cell types or differential functional adaptation?

Microglia were first characterized by del Rio Hortega about 100 years ago but our understanding of these cells has only gained traction in the last 20 years. We now recognize that microglia are involved in a plethora of activities including circuitry refinement, neuronal and glial trophic support, cell number modulation, angiogenesis and immune surveillance. Specific to immune surveillance, microglia detect threats which then drive their transformation from ramified to amoeboid cells. This morphological transition is accompanied by changes in cytokine and chemokine expression, which are far less conserved than morphology. To simplify discussion of these expression changes, nomenclature ascribed to states of macrophage activation, known as Macrophage 1 (“M1”; classic) and Macrophage 2 (“M2”; alternative), have been assigned to microglia. However, such a classification for microglia is an oversimplification that fails to accurately represent the array of cellular phenotypes. Additionally, multiple subclasses of microglia have now been described that do not belong to the “M1/M2” classification. Here, we provide a brief review outlining the prominent subclasses of microglia that have been described recently. Additionally, we present novel NanoString data demonstrating distinct microglial phenotypes from three commonly used central nervous system inflammation murine models to study microglial response and conclude with an introduction of recent RNA sequencing studies. In turn, this may not only facilitate a more appropriate naming scheme for these enigmatic cells, but more importantly, provide a framework for generating microglial expression “fingerprints” that may assist in the development of novel therapies by targeting disease-specific microglial subtypes.
multi-layer graphene reinforced pure titanium matrix composites by a micro-laminated structure design

In this study, a micro-laminated structure of titanium matrix composite with uniformly dowel-like and aligned multi-layer graphene (MLG) is fabricated by flake powder metallurgy. High energy ball milling method is applied to efficiently obtain flaky Ti powders with embedded MLG flakes. Spark plasma sintering (sps) which can enable the MLG to preserve its original structure. Also, it can consolidate mixed powders to obtain the laminated billet. Subsequent hot-rolling (HR) is applied to control the degree of interfacial reaction and reduce the internal defection of composites. Results show that interface of the composite owns one in-situ formed TiC thin layer between MLG and matrix. Also, the composite with micro-laminated structure shows significant improvement of strength. Consequently, a uniform disperse of only 0.1wt% MLG enables the as-designed composite to exhibit 218% increase of yield strength compared to monolithic matrix. Keyword: titanium matrix composites; multi-layer graphene; micro-laminated structure; mechanical properties
Effects of coconut water on callus initiation and plant regeneration potentials of sweetpotato.

Embryogenic callus initiation and plant regeneration in sweetpotato in vitro have been accomplished through various amendments with supplements. Such amendments include use of appropriate growth regulator combinations or inclusion of other supplements that have the potentials to enhance callus initiation and shoot proliferation. Coconut water has been reported to enhance callus induction, shoot development and multiplication in tissue culture of plants but has never been tried in sweetpotato, which is still recalcitrant to most in vitro treatments reported. The objective of this study was to evaluate callus initiation; shoot proliferation and plant regeneration potentials of four different quantities of coconut water levels (0mlL-1, 25mlL-1, 50mlL-1, 75mlL-1 and 100mlL-1) on three sweetpotato cultivars of Papua New Guinea in vitro, on a modified Murashidge and Skoog (MS) medium. The modified medium was supplemented with 3mgL-1 2, 4-dichlorophenoxyacetic acid and 0.5mgL-1 6-benzyl amino purine. The control medium was set without any of the coconut water levels. At coconut water levels lower than 75mlL-, callus initiation and plant regeneration potentials of all the sweetpotato cultivars were relatively low. At coconut water levels of 75mlL-1or higher, more than 85% of SK010, 75% of WHCH005 and 50% of PRAP496 initiated callus that were capable of proliferating into shoots. Shoot proliferation was also poor at lower coconut water levels. Shoot isolates that proliferated from calli at higher coconut water levels were able to grow to maturity.
CLASSIFICATION OF HIGH FREQUENCY IMPACT SIGNAL IN VIBRATIONAL ANALYSIS OF SPUR GEARS BY USING CONVOLUTIONAL NEURAL NETWORKS

-Spur gears are one of the widely used gears in a gearbox assembly. They often require lubrication and replacement of pinion and gears as prone to damage in high speed shafts with heavy loads and adverse working conditions. These creates spalling and breakage of gear tooth due to material fatigue from excessive loads and also forms pitting corrosion due to reduced lubrication and higher input shaft speeds. Vibrational analysis of these rolling elements is necessary for monitoring the health of gears periodically. These graphs provide a pattern waveform over time to study the characteristic high frequency impact noise signal peaks due to increased vibrations from faulty sections. This paper depicts about the implementation of convolutional neural networks to analyze the vibrational graphs obtained at different rotating speed of shafts for various gear ratios to plot the high frequency impact noise and train the neural networks to identify the peaks and classify among the faulty and healthy spur gears and pinions for a better way to reduce time in estimating the remaining average working life of gears and perform adequate maintenance of components.
Pathomorphological, parasitological and molecular diagnosis of Babesia gibsoni in a dog

A 7 year old female German Shepered dog was presented with a primary complaint of inappetence and incoordination for 2 months. Physical examination revealed pale mucous membranes, enlarged pre-scapular lymph nodes, bilateral ocular discharges, pyrexia (41.2 °C), depression. History revealed that the dog was vaccinated and dewormed regularly. Following clinical examination, blood samples were collected for haematological, biochemical and parasitological analyses, and the results revealed the presence of intraerythrocytic Babesia parasites, normocytic and normochromic anaemia with extensive cellular damage. However, during the course of the investigation, the dog died. Post-mortem examination was carried out with appropriate consent. Gross examination revealed spleenomegaly, fatty change of liver, haemorrhage on the kidney and mucosal surface of stomach. Diffuse oedema with interstitial pneumonia in the lung, focal haemorrhage with cellular infiltration in the heart and coagulative necrosis, presence of urinary cast in the lumen of tubules, sub acute glomerulonephritis in the kidney were observed. Spleen revealed diffuse haemorrhage and stomach showed haemorrhage and congestion. Fatty changes associated with scattered haemoorhages were also recorded. Many of the observed clinicopathological alterations were consistent with chronic babesiosis.
Deep Learning Algorithm for Brain-Computer Interface

Electroencephalography-(EEG-) based control is a noninvasive technique which employs brain signals to control electrical devices/circuits. Currently, the brain-computer interface (BCI) systems provide two types of signals, raw signals and logic state signals. The latter signals are used to turn on/off the devices. In this paper, the capabilities of BCI systems are explored, and a survey is conducted how to extend and enhance the reliability and accuracy of the BCI systems. A structured overview was provided which consists of the data acquisition, feature extraction, and classification algorithm methods used by different researchers in the past few years. Some classification algorithms for EEG-based BCI systems are adaptive classifiers, tensor classifiers, transfer learning approach, and deep learning, as well as some miscellaneous techniques. Based on our assessment, we generally concluded that, through adaptive classifiers, accurate results are acquired as compared to the static classification techniques. Deep learning techniques were developed to achieve the desired objectives and their real-time implementation as compared to other algorithms.
New Multifunctional Isolated Microinverter with Integrated Energy Storage System for PV Applications

This paper proposes a novel multifunctional isolated microinverter which is able to extract the maximum available power from a solar photovoltaic module and inject it into the power grid, while simultaneously charging a battery energy storage system (BESS). The proposed microinverter integrates a novel DC–DC power converter and a conventional DC–AC power converter. The DC–DC power converter is able to send electrical energy to the secondary side of a high-frequency transformer and to the BESS, using only two power switches. Throughout this paper, the converter topology, the operation modes, the control algorithms, and the development of a laboratory prototype of the proposed microinverter are described in detail. Moreover, simulation and experimental results are presented to demonstrate the feasibility of the proposed solution.
Interference of Quinolinate Phosphoribosyltransferase Gene QPT Affects Agronomic Traits and Leaf Quality in Nicotiana tabacum L.

Quinolinate phosphoribosyltransferase (QPRTase), a key enzyme in ensuring nicotinic acid is available for the synthesis of defensive pyridine alkaloids in Nicotiana species, also plays an important role in nicotinamide adenine dinucleotide (NAD) biosynthesis. In this study, the morphological traits, the quality characteristics and photosynthetic parameters in QPT-overexpressing/interfering tobacco plants were investigated, respectively. Results showed that the interference of QPT gene not only reduced significantly the morphological traits including plant height, stem girth, leaf number and leaf length, etc. at 20 days after transplanting (DAT), but the flowering period was delayed 10-15 d in interfered tobaccos compared with the overexpressed, control and wild-type counterparts. However, at 40 DAT and 60 DAT, only three indexes (plant height, stem girth and leaf number) in QPT-interfering plants appeared significant difference in comparison with other three types of tobacco lines. Meanwhile, the determination results from nicotine, sugar, K and Cl content showed the nicotine content in interfered plants was always significantly lower than that in overexpressed plants, control and the wild-type ones respectively whatever toppling or not. At the same time, the toppling treatment also caused the increasement of K content among the four different tobacco lines, but the maximum increase amplitude of K content was found in QPT-overexpressing tobaccos while the minimum appeared in QPT-interfering plants. Finally, QPT-interference in transgenic tobaccos likewise affected the photosynthesis by reducing net photosynthetic rate (Pn), stomata conductance (Gs) and transpiration rate (Tr), while there was no significant difference between QPT-overexpressing plants and the controls and the wild-types.
Comprehensive analysis of the lncRNA-miRNA-mRNA ceRNA network in aortic dissection

Aortic dissection (AD) is a critical cardiovascular system disease caused by blood in the aortic cavity penetrating into the middle layer of the aortic wall through the intimal rift and extending along the long axis of the aorta. Studies have shown that long noncoding RNAs (lncRNAs) can bind to microRNAs (miRNAs) as competing endogenous RNAs (ceRNAs) and further affect the levels of target mRNAs. The purpose of this study was to construct and analyse the lncRNA-miRNA-mRNA ceRNA network in AD.We first downloaded the AD expression data of five normal samples and seven AD samples from the Gene Expression Omnibus (GEO) database (GSE52093) and identified differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of DEmRNAs were performed using the DAVID and KOBAS online databases. The ceRNA network was constructed by using the miRcode, miRDB, miRTarBase, and TargetScan databases and visualised by Cytoscape v3.6. 1. In addition, a protein-protein interaction (PPI) network of DEmRNAs was also constructed.In total, 13 lncRNAs and 472 mRNAs were identified as significantly differentially expressed between the AD and normal samples (|logFC| > 1.0, false discovery rate (FDR) < 0.05). In addition, seven lncRNAs, 18 miRNAs, and 48 mRNAs contributed to the construction of the ceRNA network.We confirmed the DElncRNAs and DEmRNAs in AD and constructed a lncRNA-miRNA-mRNA ceRNA network by using bioinformatics methods, which may provide a novel perspective for the diagnosis of, and potential therapeutic targets for, AD.
Changes in chemical constituents of herbal banana-guava cheese during storage

Mulethi and satavar roots were processed to prepare powder and were used in the development of herbal banana-guava cheese. Cheese variants supplemented with 4% mulethi powder and 4% satavar powder were selected for preparation and evaluation of herbal banana-guava cheese variants. The products were evaluated for changes in chemical parameters at monthly interval for three months storage period. Total sugars, reducing sugars, acidity, non-enzymatic browning and peroxide value increased significantly, while ascorbic acid, total carotenoids, total phenols and water activity decreased significantly in herbal banana-guava cheese variants during three months storage.
Genetic diversity of whitefly, Bemisia tabaci population of Rajendranagar, Telangana, India

The genetic identification of whiteflies collected from the different fields of Rajendranagar, Hyderabad, Telangana, India during summer 2017 was done by SSR-PCR of the mitochondrial cytochrome oxidase I (mtCOI) gene. The results obtained from the present study revealed the amplification of mitochondrial cytochrome oxidase I (mtCOI) gene fragment using the primers (C1-J-2195 and L2-N-3014) produced Bemisia tabaci specific ~860bp band in all the samples of B. tabaci. MtCOI gene of this B. tabaci samples collected from Rajendranagar, Telangana were compared with other known sequences in GenBank and the test samples showed high level of nucleotide and amino acid identity with Asia I and Asia II-1 genetic groups. The phylogenetic tree constructed based on UPGMA (Unweighted Pair Group Method with Arithmetic Mean) analysis with 10 mtCO1 sequences of B. tabaci samples also revealed that Rajendranagar B. tabaci population clustered with sequences corresponding to Asia-I and Asia II-1 genetic groups. So far there is no report on the presence of Asia II-1 genetic group from the Telangana state.
Behavior of Fibrous Light Weight Concrete in Comparison to Traditional Fibrous Concrete

This paper presents a focused study on hardened properties of traditional fibrous concrete in comparison to fibrous light weight concrete. Fibrous concrete is made in order to achieve tangible improvement in mechanical properties of hardened concrete. It is now well established that, one of the important properties of steel fiber reinforced concrete (SFRC/SFRLWC) is to superior resistance to cracking and crack propagation. Using fibers in virgin concrete could be capable of transfer brittle failure mode of virgin concrete to semi-ductile failure mode. As a result of this ability to stitching cracks, fiber composites possess increased compressive strength, splitting tensile strength and flexural strength. An experimental program is established to obtain the optimum volume fraction for using steel fiber then study the effects of optimum steel fiber percentage on the traditional and light weight concrete. The experimental program consist of two phases, the first one focused on testing different specimens (cubes ,cylinders and prisms) to get the optimum percentage for steel fibers used. The second phase was focused on testing standard specimens (cubes ,cylinders and prisms) which are mixed with the obtained optimum percentage of steel fibers. Number of Specimens were strengthened with external GFRP sheet then results were compared with non strengthened traditional/lightweight fibrous concrete specimens.
Internal Quality Assurance Affecting Educational Quality: A Case of Private Universities in Ho Chi Minh City

The internal quality assurance helps private universities identify problems, risks, ethical practices, and opportunities. So, private universities can better serve their students. The information on quality assurance got from a useful review. It is a university's asset, and its value is much higher than the meager cost of training and time the organization has invested. Therefore, the main objective of this study is to explore critical factors that influence the internal quality assurance of the private universities in Ho Chi Minh City (HCMC) and educational quality. The authors surveyed 600 persons related to education, such as managers, lecturers, and staff who are working at six private universities in HCMC. Each private university has 100 persons surveyed. The authors applied a random sampling technique and used Structural Equation Modelling (SEM). The study used items on a 5-point Likert scale. Research results showed five factors influencing the internal quality assurance of the private universities and its' impact on educational quality in HCMC with significant at 1.0 percent.