Miracle-dz/UniFAR-FTUs huggingface dataset:
Méthodes d’ordonnancement et d’orchestration dynamique des tâches de soins pour optimiser la prise en charge des patients dans les urgences hospitalières

Le service des urgences est un important service de soins qui represente le goulot d'etranglement de l'hopital. Les urgences sont souvent confrontees a des problemes de tension dans de nombreux pays a travers le monde. L'une des causes de la tension dans les urgences est l'interference permanente entre trois types de patients : les patients deja programmes, les patients non programmes et les patients non programmes urgents. Le but de cette these est de contribuer a l'etude et au developpement d'un systeme d’aide a la decision pour ameliorer la prise en charge des patients aussi bien en mode de fonctionnement normal qu’en mode tension. Deux principaux processus ont ete developpe. Un processus d’ordonnancement a horizon glissant en utilisant un algorithme mimetique avec l’integration des operateurs genetiques controles pour determiner un calendrier optimal de passage des patients. Le deuxieme processus d’orchestration dynamique, a base d’agents communicants, tient compte de la nature dynamique et incertaine de l'environnement des urgences en actualisant continuellement ce calendrier. Cette orchestration pilote en temps reel le workflow du parcours patient, ameliore pas a pas les indicateurs de performance durant l'execution. Grâce aux comportements des agents et aux protocoles de communication, le systeme propose a etabli un lien direct en temps reel entre les performances requises sur le terrain et les actions afin de diminuer l'impact de la tension. Les resultats experimentaux, mis en œuvre au CHRU de Lille, indiquent que l’application de nos approches permet d’ameliorer les indicateurs de performance grâce aux pilotage par les agents du workflow en cours execution.
Expression Analysis of Pyrenophora teres f. maculata-Responsive Loci in Hordeum vulgare

1Université de Tunis El Manar, Faculté des Sciences de Tunis, Unité de Recherche UR11ES10 Génomique des Insectes Ravageurs des Cultures d’intérêt agronomique (GIRC), 2092, El Manar, Tunis, Tunisia; 2Institut National Agronomique de Tunisie (INAT), Tunis, Tunisia; 3Université de Tunis El Manar, Faculté des Sciences de Tunis, Laboratoire LR99ES12 de Génétique Moléculaire, Immunologie et Biotechnologie, 2092 El Manar, Tunis, Tunisia; 4Centre Régional de Recherches sur les Grandes Cultures de Béja (CRRGC), Université de Jendouba, Béja, Tunisia; 5Université de Jendouba, Institut Supérieur de Biotechnologie de Béja (ISBB), Tunisia.
Social Mood Impact on Financial Decision Making: A Study of Twitter Sentiment on Stock Index Volume

Emotions and human behavior are an important subject for academics in the financial field as emotion and mood haven proved by psychologist as a main factor in people behavior and decision-making process. Hence, the modern improvement in social media like Twitter has open new possibilities for exploring more the emotional polarity in human, and their perception toward companies. Does this emotional public sentiment affect people's investment decisions? In this dissertation we explore whether the Nasdaq Composite Index (IXIC) volume is affected by the public mood, using Twitter sentiment analysis and how we can use that information for modelling Nasdaq Composite Volume Change. Our finding prove that sentiment is correlated with change in the IXIC volume, but we can use that information predict change in the IXIC using time series with small dataset.
A literature review on recommendation systems

On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized content and services. The purpose of this diploma thesis is to explore the different features and capabilities of different technical predictions in the recommendation systems to serve as a compass for research and practice in systemic recommendations
APPLICATION OF ACOUSTIC EMISSION (AE) IN MINING AND EARTH SCIENCES: A REVIEW

One of the most important products of the majority of tools, processes and, phenomena in mining engineering and earth sciences are high-frequency elastic waves, often referred to as acoustic waves. These acoustic waves can be a useful tool for prediction and measurement, monitoring and diagnosis. Due to the importance of engineering activities that should be specific, measurable, available, reliable and time-based (SMART), Acoustic Emission (AE) techniques can be inte- grated into engineering operations such as excavation to give exact estimations or simplify some aspects of investiga- tions. Hence, these techniques are expected to play an increasing role in the detection, monitoring, and measurement in engineering applications. With the development of acoustic signal processing methods in earth sciences and the grow- ing need for accurate, fast, and cost-effective prediction, monitoring and measurement methods, AE tools and tech- niques are expected to turn into powerful alternatives to current methods. The purpose of this paper is to review the application of the acoustic methods as a tool in various projects. For this purpose, the application of AE methods has been reviewed in different fields related to earth sciences including mining engineering, drilling engineering, geology, petroleum engineering, and other related fields. According to the purpose of using these methods, the application of AE is divided into three groups: prediction and estimation, monitoring and performance assessment, and detection. The use of AE methods, among other laboratory or in-situ methods, is very fast and accurate, and by only installing specific sen- sors with data logging equipment, it has been able to process and analyse data online and remotely. Finally, the possibil- ity of using AE techniques in design and calculating in various projects and as a tool for decision making was evaluated.
The global circulation of discursive resources and the lived experience of globalization

ABSTRACT This essay explores mainstream communication research related to globalization and the use of discursive resources. We provide a state-of-the-discipline review of contemporary empirical studies that tie globalization and linguistic communication to their social significance and to the contextually rooted practices of individuals. We organize the literature into four areas according to their treatment of the global circulation of signs: relationship between the local and global, human agency, identity formation, and media of circulation. Based on this review, we highlight the limitations of the circulation metaphor, describe the translocal movements of discursive resources as a potentially cyclical process, and show how the use of discursive resources can take on a political dimension. We conclude with four suggestions for future research.
Feasibility and Effectiveness of Virtual Reality Training on Balance and GaitRecovery Early after Stroke: A Pilot Study

Objective: To investigate the feasibility and effectiveness of virtual reality training for improving balance and/or gait during inpatient rehabilitation of patients within 12 weeks after stroke. Methods: Sixteen patients within 12 weeks after stroke and dependent gait as categorised with a Functional Ambulation Category score of 2 or 3 were included in this longitudinal pilot study. Participants received eight 30-min sessions of virtual reality training during four weeks as part of the regular inpatient rehabilitation program. Feasibility was assessed using compliance with the training, adverse events, experiences of the participants and the physiotherapists; and effectiveness with the Berg Balance Scale, centre of pressure velocity, Functional Ambulation Category and 10-meter walking test. Results: Participants positively evaluated the intervention and enjoyed the training sessions. Also, physiotherapists observed the training as feasible and beneficial for improving balance or gait. Compliance with the training was 88% and no serious adverse events occurred. The Berg Balance Scale, anterior-posterior centre of pressure velocity, Functional Ambulation Category and 10-meter walking test showed significant improvement after four weeks of training (p<0.05). Conclusion: This study demonstrates that virtual reality training in patients early after stroke is feasible and may be effective in improving balance and/or gait ability.
An Algorithm for Recognition of Left Atrial Appendage Boundaries in Echocardiographic Images

Introduction: Atrial fibrillation is the most common cardiac arrhythmia of clinical significance and is associated with increased risk of stroke through thrombus formation primarily in the left atrial appendage (LAA). LAA occlusion using a purpose-built device is a growing procedure. In this study, we aimed to develop a computer aided diagnostic system for recognition of the LAA in echocardiographic images.Material and methods: 3D echocardiographic images of the LAA of 26 patients who were successfully treated with an LAA occluder were used in this study. 208 3D derived 2D images in the axial plane were derived from each 3D dataset. 562 images in which the LAA boundaries were highly recognizable were selected. The proposed convolutional neural network (CNN) in this study is based on an open source object identification and classification platform that is compiled under the YOLO algorithm. 419 and 143 images were used for training and testing the algorithm respectively. Results: Algorithm performance on identifying the LAA region on the set of 143 images was compared to the traced regions on the same images by the expert in echocardiography using intersection over union (IOU) algorithm. The algorithm was able to correctly identify the LAA region in all 143 examined images with average IOU of 90.7%. Conclusion: The proposed image based CNN algorithm in this study showed high accuracy in recognizing LAA boundaries in the echocardiographic images. The method can be used in developing algorithms for automated analysis of the area of the LAA that is used for device sizing and procedural planning in the LAA occlusion procedures.
SocialRecruiter: Dynamic Incentive Mechanism for Mobile Crowdsourcing Worker Recruitment With Social Networks

Worker recruitment is an important problem in mobile crowdsourcing (MCS), which aims to find sufficient and suitable participants to perform tasks. However, existing worker recruitment approaches mainly focus on how to select the most suitable workers for tasks from a large worker pool, while the recruitment problem under insufficient workers (e.g., a new MCS system) has not been well addressed. In this paper, we focus on the insufficient participation problem of MCS systems with limited number of workers, and propose to leverage social network to recruit workers for task completion as well as expanding the worker pool. To this end, we propose a dynamic incentive mechanism, called SocialRecruiter, to encourage workers on the MCS platform to propagate tasks through social networks, so that inviting friends to join in the MCS platform to further propagate and complete tasks. Motivated by the SIR epidemic model, we propose a novel task-specific epidemic model to characterize the status change of users for task propagation and completion through social networks. In order to encourage task completion and propagation, the propagating reward and completing reward are provided according to workers’ actions. In particular, in order to maximize the task completion within the financial budget, the propagating and completing rewards are dynamically updated at each cycle according to real-time worker recruitment progress. The extensive experimental results on two real-world datasets demonstrate that SocialRecruiter outperforms the state-of-the-art approaches in terms of worker recruitment and task completion.
The measurement of attitudes toward abortion

Attitudes towards abortion have been a focal point within politics and religion for many years. Many methods have been created to test these attitudes. For example, Hess and Rueb created a 13-item scale and demonstrated its validity. However, this scale has several potential shortcomings. The developers did not report the reliability of the scale and its factor structure. Further, this scale includes a neutral point and legal language. One of the purposes of the present study was to develop a 12-item scale to address these issues. The present study compares and contrasts these two scales. Psychology student's participated in this study. The results indicated that both abortion scales were reliable and valid. A factor analysis indicated that the Hess and Rueb scale has 3 factors, whereas the researchers newly developed scale had two factors. Implications of these findings are discussed
Fusarium incarnatum
 is associated with postharvest fruit rot of muskmelon (
 Cucumis melo
 )

Postharvest fruit rot was observed on muskmelon (Cucumis melo) on market shelves at a melon farm in the city of Hatyai, Songkhla, Thailand. Diseased muskmelon fruit displayed cotton‐like mycelia on wounds and had brown to dark brown internal tissue. Based on morphological characteristics and molecular analysis of internal transcribed spacer (ITS) and translation elongation factor 1‐α (TEF1‐α) DNA sequences, the fungal pathogen was identified as Fusarium incarnatum. This species belongs to the Fusarium incarnatum‐equiseti species complex (FIESC). A pathogenicity test was conducted to verify Koch's postulates, and F. incarnatum was observed to cause fruit rot on muskmelon; symptoms of the disease were similar to those seen in the field. However, only artificially wounded melons became infected, suggesting that F. incarnatum is an obligate wound‐infecting pathogen. To our knowledge, this is the first report of F. incarnatum causing fruit rot of muskmelon in Thailand.
Research on the Application of Continuing Care Mode in the Home-Based Care of the Elderly with Chronic Renal Failure

In this study, effects of continuing care mode in elderly patients with chronic renal failure were studied. 84 elderly patients with chronic renal failure were randomly divided in an experimental group (41 cases) and a control group (43 cases). Patients in both the experimental group and the control group were comprehensively assessed in nursing, and hospital nursing plans for them were developed within 24 hours after they were admitted. The patients in the control group were given the conventional discharge guidance and health education, and those in the experimental group were given continuing care by the continuing care group. Patients with chronic renal failure in the two groups were compared in their self-care ability and quality of life between before and after discharge. The experimental group patients with chronic renal failure before discharge compared with the self-nursing ability of patients after discharge showed that self-care skills, sense of responsibility, self-concept and health knowledge score were significantly improved (P<0.01). The research showed that there were no obvious difference between the dimensions of the SF-36 scale of two groups were enrolled in (P>0.05), 3 months after the scales in two groups were higher than that of SF-36 group, there was significant difference (P<0.05), and the scores of experimental group in each dimension were higher than that of the control group (P<0.05). Continuing care can effectively improve the self-care ability of elderly patients with chronic renal failure, and the patients can actively cooperate with doctors and nurses in the treatment and nursing, thereby effectively controlling the progression of the disease, reducing the patients’ suffering and economic burden, and improving their quality of life. Keywords—continuing care mode; home-based care; elderly; chronic renal failure
Overcoming challenges for skin deposition of drugs: SiRNA and antimicrobial agents

of the Dissertation . ii Dedications . iv Chapter 1: Introduction . 1 Chapter 2: Topical siRNA Delivery: Challenges and Prospects . 8 2.1. Procedures to Overcome the Skin Barriers . 11 2.1.1. Microneedles . 11 2.1.2. Nanocarriers . 13 2.1.2.1. Skin Penetrating Peptides. 14 2.1.2.2. Carbon Nanotubes (CNT) . 15 2.1.2.3. Liquid Crystalline Nanodispersions . 16 2.1.2.4. Lipid Based Delivery Systems . 17 2.1.2.4.1. Conventional Liposomes. 17 2.1.2.4. 2. Flexible Liposomes . 18 2.1.2.5. Combination Therapy . 19 2.2. Directions for Future Research . 21 2.3. Conclusions . 21 Chapter 3: Membrane Properties for Permeation Testing: Skin versus Synthetic Membranes . 23 3.1. Materials and Methods . 26 3.1.1. Preparation of Drug Formulations . 26 3.1.1. 1. Diclofenac Sodium . 26 3.1.1.2. Hydrocortisone . 27 3.1.1.3. Caffeine . 27 3.1.2. Permeation Assay . 27 3.1.3. Reverse-phase high performance liquid chromatography (HPLC) . 28 3.1. 4. Data Analysis . 30 3.2. Results . 30 3.3. Discussion . 41 3.4. Conclusions . 43 Chapter 4: Molecular Properties for Permeability Testing: Skin Deposition of Antimicrobial Agents . 44 4.1. Materials and Methods . 47
Prevalence of Knee Osteoarthritis among Elderly Patients Attending Orthopaedics Department: A Hospital Based Study

Background: OA (Osteoarthritis) knee incidence is rising by increasing average age of general population. Osteoarthritis (OA) is a common disease found in old aged population. Therefore, this study was conducted to examine the prevalence and risk factors for knee osteoarthritis in elderly men and women. Methods: The study was conducted in the Department of Orthopaedics, Varun Arjun Medical College, Banthra, Shahjahanpur, U.P, India from February 2016 to July 2016. On the basis of inclusion and exclusion criteria, 125 patients were randomly selected from OPD and IPD of Hospital. The interview was structured as follows. Data was recorded on a standardized predesigned and a pre-tested questionnaire. Questionnaire focused on Socio-demographic profile and assessment of possible risk factors (age, family history, obesity, physical activity, and occupational knee bending and knee injury). Measurements like height, weight and body mass index (BMI) were recorded. Results: A complete interview was possible in 102 subjects (58.62% response rate). Participation was poorer among men and there was a slightly higher prevalence of radiographic changes of OA in women than in men. However, there was a significantly higher proportion of women with symptomatic disease (14% of all women versus 9% of all men; P = 0.003). Conclusions: : In our study, we observed that there is association between age, sex and BMI with OA. The incidence of OA increased as the age advances; hence it is likely that if preventive measures can be taken in the earlier age groups OA can be prevented.
The Quality of Customer Service and the Level of Consumer Satisfaction in Timor Leste Telecommunications

The quality of customer services and its resulting consumer satisfaction have greatly contributed to the success of numerous companies, since they constitute competitive advantages, helping companies retaining their costumers and contributing to the company’s recruitment of new clients. Satisfied customers are likely to return and recommend the service to friends and family. The goal of this research was to evaluate perceived service quality and customer satisfaction with the company Timor Telecom. Data was collected through a questionnaire applied to a sample of customers in Dili. The results indicated that customers are globally satisfied with the company and that the most relevant service quality dimensions were: products and services, the company itself, collaborators, and point-of-sale.
The plasma enhanced surface reactions in a packed bed dielectric barrier discharge reactor

The conversion and utilization of CO2 is one of the greatest global challenges. Plasma assisted catalysis provide a new resolution to this problem. However, the energy efficiency and conversion rates of the plasma process are still insufficient for industrial applications. The key reasons are the highly complex interaction between gaseous plasma and catalytic materials, especially in packed bed dielectric barrier discharges. Our study fills this critical gap by developing a novel numerical approach to study how the ns pulse driving plasma trigger the heterogeneous reactions on the Ni/γ-Al2O3 catalyst surface. The development of plasma inside the reactor is in the form of surface ionization wave (SIW) + filamentary microdischarges. The high electron power in the SIW region and the high ion power density in the sheath region on the catalysts surface provide enough energy to trigger heterogenous reactions. The heterogeneous reactions not only generate the local high CO density region near the Ni/γ-Al2O3 surface, but also increases the space averaged density of CO. The extension of activation time of catalytic material can significantly increase the conversion efficiency of CO2.
DNA barcoding as a method for species identification: case study in Ahaetulla snake

Species identification using molecular analyses has recently been developed, one of which is DNA barcoding method. The purpose of this study was to apply the DNA barcoding method to identify Ahaetulla snake which previously had not been identified molecularly. The specimens used came from Sumatra, Java, Bali, Lombok and additional samples obtained from Genbank. Cytochrome B gene was extracted and amplified to obtain DNA barcode. Phylogenetic analysis using ML method was used to determine the kinship relationship of the Ahaetulla snake. Morphological analyses were added to confirm the results of molecular identification. The results of molecular analysis using DNA barcoding method showed the presence of two Ahaetulla species in this study, there are A. prasina and A. mycterizans. This difference is indicated by the formation of two separate main clades, clade I contains A. prasina and clade II contains A. mycterizans. The results of the morphological analyses also showed differences in the character of the two different clade species. Thus, molecular analyses result agrees with morphological analyses. It can be concluded that the DNA barcoding method can be used as a valid method to identify Ahaetulla snake species.
Adoption of green jobs in Mauritius: drivers and challenges

This study investigates the drivers and challenges faced by Mauritian organisations in implementing green jobs. Data was collected through online questionnaires to companies in six major sectors of the economy to identify their level of awareness, to investigate their readiness to embark into green jobs while at the same, assess the drivers and the challenges. The results showed that the implementation of green jobs in Mauritius is at an early stage and that much needs to be done. Furthermore, Spearman rho correlation found no relation between sector activity and the level of awareness. Moreover, regardless of the sector that the companies are; they face the same difficulties to implement green jobs. The study however showed that firms that do not have green jobs, do engage in green practices like the use of renewable of energy, minimise pollution and maximise the use of day light. The major drivers identified were customer preferences and government regulations while the major challenges which emerged were costs and the lack of trained employees. Based on the findings recommendations were made with respect to the enhancement of existing regulations and policies, subsidisation of costs and dispensing of training programmes to stakeholders concerned.