Miracle-dz/UniFAR-FTUs huggingface dataset:
Supply Chain Construction In The Moroccan Public Admnistration

The construction supply chain is characterized by the multiplicity of links and the divergence of the actors, making customer satisfaction difficult to measure. The purpose of this paper is to explore the concept of satisfaction and identify the determinants that influence it, in the supply chain construction, through a study conducted on the Moroccan public administration. The literature review involved several relational parameters including trust, commitment and effective communication, and transactional factors such as control, power and formalization that influence satisfaction, more tangible variables to measure an abstract concept. To focus our study and look for concrete answers, the research orbit will be the Construction Supply Chain related to the Moroccan public administration contracts.
Reliability and Construct Validity of the Organizational Citizenship Behaviour (OCB) Scale

The purpose of this study is to examine the reliability and construct validity of organizational citizenship behaviour, to find dimensions and indicators that can form organizational citizenship behaviour. Organizational citizenship behaviour measured by the dimensions of altruism, courtesy, conscientiousness, sportsmanship, and civic virtue. The population in this study were teachers in junior high schools in Purwokerto region with a total of 327 teachers. The sample of this study was 90 teachers. The sampling technique in this study uses accidental sampling. Data collection methods use the organizational citizenship behaviour scale. Research data were analyzed with Structural Equation Modeling (SEM) through the SmartPLS 3.2. 8 program. Based on the analysis results, the dimensions and indicators that form the construct of organizational citizenship behaviour are declared valid and reliable. The most dimension that reflects the construction of organizational citizenship behaviour is a civic virtue, with a loading factor of 0.781. The lowest dimension that reflects the construct of organizational citizenship behaviour is courtesy with a loading factor of 0.400. This research shows that all dimensions and indicators are able to reflect and form the construct of organizational citizenship behaviour. Thus, the measurement model can be accepted because the theory was described organizational citizenship behaviour is consistent with empirical data obtained from the subject.
Structural and Morphological Characterization of the Expanded Graphite Obtained by Ball Milling and HF Leaching

In this research, expanded graphite (EG) was successfully fabricated using a simple ball milling process followed by hydrofluoric (HF, 10 wt. %) leaching. The effect of ball milling time (0-15 h) and leaching time (1-24 h) on the exfoliation of graphite were examined by XRD and Raman spectroscopy. Furthermore, the morphological evaluation of the obtained expanded graphite samples was carried out by scanning electron microscopy (SEM). The XRD results of the ball-milled and HF treated samples showed a slight peak shift and broadening of (002) plane for expanded graphitein in comparison to the precursor and HF-treated samples. Moreover, the intensity of the (002) planes remarkably decreased by the ball milling process but remained constant after HF treatment. Raman spectra of the samples confirmed the ordering process only in HF-treated specimens. Moreover, the intensity ratio of 2D1 to 2D2 band gradually increased with enhancing the HF treatment time up to 5 hrs, indicating a decrement in the number of graphite layers by leaching in the HF solution
NEW TECHNOLOGY OF LAYERED STRUCTURES IMPLEMENTED IN SELECTED GYROPLANE COMPONENTS

The paper presents work carried out by Institute of Aviation for the project entitled “Implementation of new material technology in aviation products of Artur Trendak Aviation Company”. The aim of the work is to develop innovative components using new technology of bonding the high-strength aluminum alloy elements and give them functional qualities, that had not been previously used in ultra-light aviation. The final stage will be the commercialization of those structures on readymade autogyros of AAT Company. Works are focused on improving material efficiency indicators for the critical components of aviation construction, which should translate into their level of safety, as well as the main operational advantages preferred by the customer. As a part of work, the numerical analysis were carried out, i.e. strength and stiffness tests for a number of layered structure variants. In the next step, based on optimized technology, the critical components of gyroplane, such as rotor blade, hub connector, gyroplane mast and undercarriage leg, were made and tested on bench stand.
Fault Detection in Shipboard Integrated Electric Propulsion System with EEMD and XGBoost

In this paper, a fault detection method of shipboard medium-voltage DC (MVDC) integrated electric propulsion system (IEPS) based on Ensemble Empirical Mode Decomposition (EEMD) and XGBoost is proposed. Particle swarm optimization (PSO) is used to optimize the parameters to solve the problem that the standard deviation of auxiliary white noise in EEMD needs to be artificially selected. Firstly, the voltage signal on the DC bus is preprocessed by PSO-EEMD, which is decomposed into a set of Intrinsic Mode Functions (IMFs) according to the local characteristic time scale of the signal, and then the energy entropy is calculated as the fault feature vector. The fault feature vector is used to train and test the fault classifier based on XGBoost, and finally, the fault detection is completed. The simplified model of shipboard MVDC IEPS is built in AppSIM Time Simulator. The faults on generator output and DC cable are used to verify the proposed fault detection method. Fault feature extraction method and fault classifier design are completed in Python. Verification by simulation platform and comparison with other intelligent detection methods illustrates that proposed detection method can detect different faults quickly and accurately, is enabled for future practical use.
Role of Heuristic on Informed and Uninformed Search

The aspiration of this paper is to presents the heuristic function is the important role in artificial intelligence (AI) algorithms. It describes the use of these search algorithms in two types, uninformed and informed search. Firstly, it finds out the solution of the shortest path or cost optimization in uninformed search. Then, some informed search strategies will be operated based on the additional information. Informed search is developed to reduce the amount of search by making the intelligence choice for expansion. To achieve effective outcomes, the decision making depends on the heuristic function. And then the heuristic search to reduce the memory requirement by keeping the generated nodes in memory and pruning some of them away when the memory runs out. This research emphasizes to attention the role of problem-specific information to get optimal solution more efficiently than uninformed strategies.
DEVELOPMENT OF ELECTRONIC NOSE MEASUREMENTS FOR MANGO ( MANGIFERA INDICA ) HOMOGENATE AND WHOLE FRUIT

Mango fruit from Latin America (cv. Tommy Atkins), were purchased from a local Florida supermarket, homoge- nized, and sampled for volatile analysis by static headspace method. Some of the material was analyzed using an electronic nose (e-nose) with metal oxide coated or uncoated sensors (500 µL injection volume) and some by gas chromatography (GC) equipped with a polar Carbowax column and a flame ion- ization detector. Dilution of homogenate and homogenate vol- ume were analyzed to determine effect on e-nose and GC headspace measurements. Mango homogenate (1.0, 1.5, and 2.0 mL) was diluted with DI water to 50, 25, and 12.5% of original concentration. The resulting e-nose signal intensities (changes in resistance across the metal oxide sensor due to non-selec- tive interactions with volatile compounds in the headspace) were analyzed by discriminant factor analysis (DFA), which re- sulted in grouping by dilution factor, regardless of sample size. A combination of 2.0 mL and 25% dilution of mango homoge- nate was determined to be optimal. These results were com- pared to analysis of 13 characteristic mango volatiles by gas chromatography (GC) headspace analysis of the mango homo- genate for the same volume/dilution combinations. Concentra- tion of volatiles in the headspace generally increased with volume and decreased with dilution, but there were some ex- ceptions and inconsistencies. The increase in headspace con- centration was not directly proportional to the homogenate volume, indicating matrix effects on aroma partitioning into the headspace, which varied for different compounds. Whole man- goes (cv. Keitt and Kent) harvested in Homestead, Fla. , were put in sealed containers for 3 hours to accumulate enough vol- atiles for headspace analysis. A large injection volume injected into the e-nose (2000 µL) was necessary to get ample signal and reproducible results, and separated the two varieties based on their volatile emission to the headspace.
iHuman CAPTCHA: An Alternative CAPTCHA for Visually Impaired Based on Face Liveness Detection System

Department of Information Technology, Sanjivani College of Engineering, Kopargaon, Savitribai Phule Pune University, Pune, MH, India. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract With the tremendous progress in computer technology, bot attacks have become the main problem. CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) has been introduced to tackle this problem. In various systems, the CAPTCHA is presented in a form of characters, numbers, symbols, images, mathematical problems, etc. that makes it challenging for the visually impaired to authenticate. In this work, we propose the Face Liveness Detection CAPTCHA (iHuman CAPTCHA) as an alternative solution, which will directly detect the face of a human. The face is the common property of the human. Most of the visually impaired use the talkback feature, which is in-build in many systems. The iHuman CAPTCHA system is trained using CNN Algorithm. To authenticate into the system, the visually impaired will click the 'Verify using the camera' button.
CMB-2019-0193-ver9-Hanson_1P 1..20

The folding of a protein structure is a process governed by both local and nonlocal interactions. While incorporating local dependencies into a machine learning algorithm for protein structure prediction is simple and has been exploited for some time, the modeling of long-range dependences which result from structurally-neighboring residues has only recently begun to be addressed. Structural properties designed to localize the prediction space from direct tertiary structure prediction, such as secondary structure, contact maps, and intrinsic disorder, among others, have begun to greatly benefit from machine learning models capable of modeling a widened, potentially global protein context. This has led to a direct enhancement of the quality of predicted tertiary structures through both the optimization of structural constraints and improved reliability of alignments to structural templates. These improvements have stemmed from the application of recurrent and convolutional neural network architectures effective not only at innate sequential context propagation but also deep feature extraction due to novel skip connections and normalization techniques allowing for greatly enhanced error back-propagation. The recent results from independent blind testing in Critical Assessment of Structure Prediction 13 have signaled the beginning of a new generation of protein structure prediction through the utilization of these contextual techniques. The ripples from advancements in the determination of one-dimensional and two-dimensional structural properties have us moving ever closer to the solution of the protein structure prediction problem.
Innovation opportunity mapping – MFC film as a packaging barrier

This thesis provides insight into the key factors affecting the commercialization process of microfibrillated cellulose (MFC) barrier films in packaging applications. MFC is presented and the technical properties affecting its performance as a packaging barrier are investigated. This is done based on previous research and the knowledge of an experienced team with focus on MFC research. The target market of high barrier packaging with the specific segments of grease and oxygen barriers is further analyzed and future forecasts for the market presented. Organizational innovation adoption theory by Frambach and Schillewaert (2002) is used as a theoretical framework with a deep connection to Rogers’ (1983) adoption theory. Since MFC is a bio-based material, specific focus is on the characteristics of launching eco-innovations. While the general rules of launching innovations also apply to eco-innovations, characteristics such as institutional interference can play a large part. Semi-Structured interviews with representatives from both innovators and potential customers’ side are used to gain an extensive picture about the situation. Evidence based on the interviews is compared to the theoretical framework and based on this comparison, vital actions and determinants of successful commercialization are proposed. The diffusion process of eco-innovations is often rather slow, and therefore strategies to speed up the diffusion process are presented. Extensive research about the technical properties of MFC has been conducted previously but there is lack of research on market diffusion and market pull effects in barrier packaging. This thesis aims to provide a connection of an industry under transition with scientific research on innovation diffusion and contribute to the process of forest-based industry to become more customer oriented. The key component when commercializing eco-innovations is identified to be the importance of creating awareness about the innovation among customers. Keywords: Microfibrillated cellulose, diffusion of innovations, packaging barriers, ecoinnovations, organizational innovation adoption Table of Contents 1. Introduction . 1 1.1. Background . 1 1.2. Purpose . 2 1.3. Reliability and Validity . 3 2. Methods . 4 3. Technical specifications of MFC and its barrier properties . 6 3.1. MFC . 6 3.2. Barrier properties . 7 4. Market overview – presenting the barrier packaging market and future forecasts . 9 4.1. Development of MFC . 9 4.2. High barrier packaging film market . 10 4.3. Grease barriers . 12 4.4. Oxygen barriers . 13 4.5. Dried food packaging . 14 4.6. Snack foods and confectionary . 15 4.7. New technologies . 17 5. Theoretical framework and literature review . 18 5.1. Diffusion of innovation . 18 5.2. Organizational innovation adoption . 22 6. Empirical evidence . 26 6.1. Diffusion barriers . 27 6.2. Rate of adoption . 27 6.3. Diffusion of eco-innovations . 28 6.4. What is sustainable packaging? 28 6.5. Organizational innovation adoption . 29 7. Actions . 32 8. Conclusions and suggestions for further research . 36 9. References . 38 10. Appendix . 41
Impute Missing Values in R Language using IBK Classification Algorithm

: In machine learning and other relevant areas such as database knowledge discovery and data mining, data quality is a crucial concern because most machine learning approaches acquire knowledge exclusively from the data it is therefore important to determine the quality of the knowledge extracted however, the actual data in the world today are particularly sensitive to noisy, losing and incomplete knowledge, this data can confuse the mining process and lead to incorrect results, this made missing values is the primary challenge for data quality, many machine learning algorithms are quite unsophisticated in handling missing values, so the handling of incomplete data should be carefully considered because otherwise bias might be injected further into discovery of knowledge, here when attempts to pre-process the missing values we used imputation approach which is a concept that describes a strategy that fills incomplete values in a data set with constant values so we use the IBK classification algorithm to indicate the missing data and Impute it based on KNN this leads to develop a way to handle missing values, after imputing the incomplete data the user can examine and use the generated complete file and choose it as entry to data mining.
Semi Automatic Process of Feature-Based Approach to Face Recognition by using SVD

Face recognition (FR) is a very challenging problem and up to date. Due to dissimilarity in human pose, facial expressions, hairstyle, image style and lighting condition, the problem is very difficult. This paper proposes the method of the face recognition focus on still image in frontal view. The facial feature is extracted from the face in frontal view or near frontal view. The silent feature region also extract from the two eyes and the mouth. Singular value decomposition approach is applied for detecting the matching point pairs. Some experiments have been done to confirm the effectiveness of our system.
Twist1 contributes to developing and sustaining corticosteroid resistance in ulcerative colitis

Rationale: Corticosteroid resistance (CR) is a serious drawback to steroid therapy in patients with ulcerative colitis (UC); the underlying mechanism is incompletely understood. Twist1 protein (TW1) is an apoptosis inhibitor and has immune regulatory functions. This study aims to elucidate the roles of TW1 in inducing and sustaining the CR status in UC. Methods: Surgically removed colon tissues of patients with ulcerative colitis (UC) were collected, from which neutrophils were isolated by flow cytometry. The inflammation-related gene activities in neutrophils were analyzed by RNA sequencing. A CR colitis mouse model was developed with the dextran sulfate sodium approach in a hypoxia environment. Results: Higher TW1 gene expression was detected in neutrophils isolated from the colon tissues of UC patients with CR and the CR mouse colon tissues. TW1 physically interacted with glucocorticoid receptor (GR)α in CR neutrophils that prevented GRα from interacting with steroids; which consequently abrogated the effects of steroids on regulating the cellular activities of neutrophils. STAT3 (Signal Transducer and Activator of Transcription-3) interacted with Ras protein activator like 1 to sustain the high TW1 expression in colon mucosal neutrophils of CR patients and CR mice. Inhibition of TW1 restored the sensitivity to corticosteroid of neutrophils in the colon tissues of a CR murine model. Conclusions: UC patients at CR status showed high TW1 expression in neutrophils. TW1 prevented steroids from regulating neutrophil activities. Inhibition of TW1 restored the sensitivity to corticosteroids in the colon tissues at the CR status.
Model-Predictive-Type Signal Control for a Burgers' Cellular Automaton Traffic Flow Model Based on Particle Swarm Optimization

This study is devoted to development of a new systematic signal control method for a traffic flow model represented by the Burgers’ cellular automaton. First, it is shown that an optimal signal control problem with an objective function on the total number of traffic jam is formulated as a nonlinear integer programming problem.Then, a new algorithm to solve the optimal signal control problem based on particle swarm optimization (PSO), and the method is extended to a model-predictive-type control method in order to treat inflow and outflow of cars. Some numerical simulations indicate that the new signal control method can reduce the total number of traffic jam the most in the four methods.
STUDIES ABOUT STRUCTURAL AND THERMAL INVESTIGATIONS ON Ti50Ni30Cu20 ALLOYS OBTAINED BY DIFFERENT TECHNOLOGICAL PROCESSES

The paper presents the research results in the field of TiNiCu shape memory alloys processed by powder metallurgy techniques. The powders mixtures used to synthesize Ti50Ni30Cu20 alloys were obtained by blended constitutive elemental powders or by mechanical alloying of powder mixtures for 10 and 20 hours, respectively. Finally, a subsequent annealing process was carried out, followed by a rapid cooling in ice water. All experiments were performed under 99.9% argon atmosphere. At room temperature, the obtained materials contained monoclinic and orthorhombic martensite type. The structural and thermal investigation of these materials were discussed in view of the potential development of actuators.
Exploiting Micro Facial Expressions for More Inclusive User Interfaces

Current image/video acquisition and analysis techniques allow for not only the identification and classification of objects in a scene but also more sophisticated processing. For example, there are video cameras today able to capture micro facial expressions, namely, facial expressions that occur in a fraction of a second. Such micro expressions can provide useful information to define a person’s emotional state. In this article, we propose to use these features to collect useful information for designing and implementing increasingly effective interactive technologies. In particular, facial micro expressions could be used to develop interfaces capable of fostering the social and cultural inclusion of users belonging to different realities and categories. The preliminary experimental results obtained by recording the reactions of individuals while observing artworks demonstrate the existence of correlations between the action units (i.e., single components of the muscular movement in which it is possible to break down facial expressions) and the emotional reactions of a sample of users, as well as correlations within some homogeneous groups of testers.
Hermes: Supplementary Materials

DEFINITION A.2. Liveness. A migration technique ensures liveness if it meets the following conditions: (1) Termination: if the nodes participating in a migration are not faulty and can communicate with each other for a sufficiently long period during the migration, the process will terminate; and (2) Starvation Freedom: in the presence of one or more failures, each migrating data set always has at least one node that can execute its transaction.
Application of Low Temperature during the Malaxation Phase of Virgin Olive Oil Mechanical Extraction Processes of Three Different Italian Cultivars

The malaxation step, one of the most important phases of the virgin olive oil (VOO) mechanical extraction process involved in the development of the main quality characteristics of the final product, was carried out at a low temperature (18 °C). The rapid control of malaxer temperature was handled with the same chiller as that of the heat exchanger used in a semi-industrial extraction plant. Low temperature was used during the full olive paste kneading process and also for half of this process, which showed that there was a significant impact on the phenolic and volatile contents of VOO. Trials were conducted on three different cultivars (Canino, Moraiolo and Peranzana), and their phenolic and volatile concentrations showed different quantitative and qualitative effects due to the prolonged use of low temperature after the crushing phase, as a function of the different genetic origins of the olives. The process of phenolic compound solubilization into the oily phase was negatively influenced by the use of low temperature during the entire malaxation period for all the cultivars, whereas the volatile fraction showed an improvement in VOO flavor mainly due to the oil extracted from Canino olives.