Miracle-dz/UniFAR-FTUs huggingface dataset:
Android platform for machine translation -a focus on Yorùbá Language

Android platform provides useful words and phrases in English language, with translations in Yorùbá language, for the use of visitors to places where the language is spoken; it can be likened to bilingual dictionary of English-Yorùbá. It is developed on Mobile platform for easier accessibility, convenience and portability. Rough Set Theory (RST) is the mathematical tool used in decision support and data analysis of words or phrases that are to be translated. Comparisons between query that is, word or phrase to be translated, are made with the created corpus, using RST. Programming tools employed for mobile platform are JDK 6, Apache Ant 1.8 or later, Android Software Development Kit, Eclipse Integrated Development Environment, Android Developer and Android Studio while latest technologies such as PHP, Mysql,. net, Mssql 2005, 2008, Ajax techies, C#. It brings the usefulness of Information Technology to the doorstep of nonYorùbá tourists or learners who wish to converse, make friends with Yorùbá people or transact business with Yorùbá indigenes that are not literate. It was found after its deployment to be intelligible and accurate with minimal errors. New words and expressions that are suitable for situations, legislation, science, engineering, commerce, computing, mass communication and other sphere of life were created in a large number.
A Foundation for Gamification in Planning Communication

Planning in the urban context is always a complex task in which the diverse interests of different stakeholders have to be weighed up against each other. For this to happen, communication is the key leading to successful and sustainable solutions. Often objective factors like the number and diversity of participating stakeholders is the benchmark for successful planning processes. We examine the motivational factors of the different main stakeholder groups and give an insight in the complex system of motivational and hindering factors that need to be considered when designing engaging sensible and sustainable exchange of knowledge and interests.
BRÛLANTS EN CANCÉROLOGIE DIGESTIVE Les indications de la TEP-TDM en oncologie digestive PET-CT in gastrointestinal cancer

La TEP-TDM (Petscan ou PET-CT) est une technique d’imagerie hybride associant une caméra, le tomographe par émission de positons (TEP) à un scanner multibarette. La TEP mesure la distribution sur l’ensemble du corps d’une molécule marquée par un émetteur de positons. Une acquisition d’images est effectuée pour chaque modalité, suivie d’une fusion de ces images TEP et TDM. Cela permet une meilleure qualité d’imagerie, mais aussi un repérage anatomique précis des lésions métaboliques dans les trois plans de l’espace. La TEP utilise en clinique courante un seul traceur, le fluorodéoxyglucose marqué au fluor 18 (18F) (FDG). Celui-ci permet la détection des lésions hypermétaboliques, en particulier néoplasiques. La plupart des cellules tumorales malignes ont un hypermétabolisme avec une majoration de la glycolyse, résultant d’une augmentation des capacités de transport membranaire du glucose et de l’activité des principales enzymes contrôlant la glycolyse. Le FDG, analogue du glucose, rentre dans la cellule après une liaison aux protéines de transport membranaires, subit l’action de l’hexokinase pour donner le FDG-6-phosphate, qui n’est pas un substrat des autres enzymes de la glycolyse et
Effectiveness of aromatherapy massage on postoperative pain and sleep pattern among children

Introduction: Post operative pain management is challenging for nurses especially in pediatrics even though adequate analgesics are available to control the pain. The new trend in nursing is the use of complementary therapy to enhance the physical and mental well being of the patient. Aromatherapy is one of the most widely used methods of complementary therapies. Aromatherapy is used for controlling the pain, anxiety, depression, stress, and improves the sleep pattern. Children who had undergone surgery will perceive moderate to severe pain and it can have a significant effect on patient recovery. Aromatherapy is one of the most rapidly expanding areas among complementary therapy. Complementary therapies may have an important role in holistic pediatrics pain management Back ground of the study Illness and hospitalization is a threat. It affects the sphere of growth and development of children and particularly the emotional development. The main nursing responsibility in pediatric setting is alleviation of pain and providing comfort to the child. Nurse can use both pharmacological and non pharmacological methods to relieve the pain and to provide comfort to a child. Aromatherapy is one among the many non pharmacological methods which can be used to enhance the physical and emotional well being of a child. Aim The aim of the study was to evaluate the effectiveness of aromatherapy massage in reducing pain and improving sleeping pattern among post operative children.
Virtual Forces in Design and Fabrication Process: Assembly and Construction of Physical Prototypes

This paper demonstrates a preliminary research and teaching investigation that attempts to use virtual forces in order to achieve interaction behavior between individual components as mechanism for the development of physical prototypes in various scales. Through case studies, the current research examines possibilities for the design of global systems, structural components and joints aiming to construct prototypes that can be characterized by continuity in their forms, structures and materials. In parallel, a number of questions are raised. Is the process from design to fabrication linear? What can be the relation between digital and physical processes? In which level this integration can be achieved? This work attempts to investigate the application of such methodology, both in design and fabrication, and to examine its contribution in the design and construction process.
Generative Probabilistic Models for Positive-Unlabeled Learning

Positive-Unlabeled (PU) learning works by considering a set of positive samples, and a (usually larger) set of unlabeled ones. This challenging setting requires algorithms to cleverly exploit dependencies hidden in the unlabeled data in order to build models able to accurately discriminate between positive and negative samples. We propose to exploit probabilistic generative models to characterize the distribution of the positive samples, and to label as reliable negative samples those that are in the lowest density regions with respect to the positive ones. The overall framework is flexible enough to be applied on many domains by leveraging tools provided by years of research from the probabilistic generative model community. Results on several benchmark datasets show the performance and flexibility of the proposed approach.
Clinical and morphological prognostic factors in membranous nephropathy: significance of focal segmental glomerulosclerosis.

BACKGROUND Progression of idiopathic membranous glomerulonephritis (IMGN) to renal insufficiency depends on various clinical and laboratory factors that have been taken into account in most therapeutic trials based on such aggressive drugs as alkylating agents or cyclosporine. However, few studies have envisaged the prognostic significance of morphological factors and their importance for stratification of patients enrolled in therapeutic trials. METHODS Records of patients with membranous glomerulonephritis (MGN) from 1976 to 2001 from five nephrology units were reviewed retrospectively. Secondary causes were ruled out, especially occult malignancy. Eligible cases were analyzed according to clinical profile, abundance of proteinuria, blood pressure, and standard renal pathological characteristics, including MGN staging, vascular lesions, and degree of interstitial fibrosis on a semiquantitative scale. Renal survival curves from renal insufficiency were calculated by the Kaplan-Meier method. Mean follow-up was 68 months. RESULTS Initial multiple regression analysis showed that the most significant prognostic variable was the presence of focal segmental glomerulosclerosis (FSGS)-type glomerular lesions (P < 0.001), and patients therefore were divided into two groups: 42 patients had MGN only (group I) and 30 patients had superimposed FSGS (group II). Group II patients were more hypertensive, and all renal lesions were significantly more severe, with a higher mean stage of membranous lesions, more obsolescent glomeruli, greater mesangial proliferation, and worse interstitial fibrosis and vascular lesions. Renal survival for group II was significantly lower (P < 0.001, log-rank test). Only one remission occurred in group II, whereas 38% of group I patients experienced remission (P = 0.002). We pooled our results with those of three previous studies in the literature, totaling 282 patients (156 patients, MGN alone; 126 patients, MGN plus FSGS). Remission rates were 32% and 12.7%, respectively (P < 0.001). The prognostic value of hypertension was noted in three of the four series, including ours. CONCLUSION FSGS lesions superimposed on IMGN are common and portend a significantly worse outcome in terms of nephrotic syndrome and renal insufficiency. Therefore, we consider that future therapeutic trials of IMGN should include case stratification based on the presence or absence of FSGS on pretreatment biopsy.
Advances in esophageal motor disorders

Purpose of review Esophageal motor disorders, often leading to dysphagia and chest pain, continue to pose diagnostic and therapeutic problems. In the past 12 months important new information regarding esophageal motor disorders was published. This information will be reviewed in this paper. Recent findings A number of studies have addressed the issue of heterogeneity in achalasia, the best defined esophageal motility disorder. The spastic esophageal motility disorders nutcracker esophagus and diffuse esophageal spasm may coexist with gastroesophageal reflux disease, which has consequences for the management of patients with these disorders. The entity labelled ineffective esophageal motility is associated with reflux esophagitis, but also with morbid obesity. For the detection of disordered transit caused by ineffective esophageal motility, application of intraluminal impedance monitoring in conjunction with manometry leads to improved diagnosis. New data on the effect of Nissen fundoplication on esophageal motility were published during the last year. Summary Recent knowledge on the heterogeneity of achalasia and the association of spastic esophageal motor disorders and ineffective motility with reflux disease will help the clinician in the management of patients with these disorders.
Magnetic Field Vector Structure of NGC6946

We studied large-scale magnetic field reversals of a galaxy based on a magnetic vector map of NGC6946. The magnetic vector map was constructed based on the polarization maps in the C and X bands after the determination of the geometrical orientation of a disk with the use of an infrared image and the velocity field, according to the trailing spiral arm assumption. We examined the azimuthal variation of the magnetic vector and found that the magnetic pitch angle changes continually as a function of the azimuthal angle in the inter-arm region. However, the direction of the magnetic field had 180 ∘ jumps at the azimuthal angles of 20 ∘ , 110 ∘ , 140 ∘ , 220 ∘ , 280 ∘ , and 330 ∘ . These reversals seem to be related to the spiral arms since the locations of the jumps are coincident with those of the spiral arms. These six reversals of the magnetic field were seen only in the inner region of NGC6946 whereas four reversals can be identified in the outer region.
AES BIOFLUX Advances in Environmental Sciences-International Journal of the Bioflux Society Diversity and distribution of fishes of Gaji River , Bauchi State , Nigeria

Fish sampling was conducted along the Gaji River with a view to assessing the Diversity and Distribution of the fishes. The river which is the major source of water for the diverse wild fauna in and around the Yankari National Park, is located on Latitude 9 45’ 16” and Longitude 10 30’ 37” and covers an area of about 2,244 km2 (870 mi2) and is home to several natural warm water springs, as well as a wide variety of flora and fauna (Wikipedia 2011). A total of twenty sampling locations were established on the river and throughout the period of the work, different fishing gears which included cast nets, gill nets, entrance traps, hooks and line and in some cases seines were used. Furthermore, Mitochondrial DNA cytochrome b sequencing was employed to study the genetic diversity of Clarias gariepinus sampled from the study area due to its economic importance. Amplification of the cytochrome b (cyt b) gene was done using the polymerase chain reaction (PCR). A portion of mtDNA containing the gene was amplified using primers L15267, 5-AAT GAC TTG AAG AAC CAC CGT-3 and H15891, 5-GTT TGA TCC CGT TTC GTG TA-3 described by Briolay et al (1998). A total of 13 species were identified from the 4,218 individuals collected, representing 12 families and 13 genera. Their percentage distribution showed that Oreochromis niloticus had the highest percentage occurrence of about 31% followed by Parachanna obscura with 27%. This was followed by Clarias gariepinus which had about 20% distribution of occurrence. On the distribution of the identified species in the various sampling locations, Ruwan Bangiya had the highest occurrence of the different species with 11 out of the total 13 species found in this location. Ruwan Dinya, Ruwan Sarki and Ruwan Gajin Gwaza also had relatively high occurrence of the identified fish species. The lowest occurrence was found in Ruwan Dalamiri, Ruwan Kunkuru and Ruwan Kankwana. Ruwan Gada and Ruwan Kakkida had moderate distribution of the various species. Three haplotypes were identified and the result further showed that population distribution of C. gariepinus is homogenous throughout the study area during the study period. The mean genetic distance between all populations is low indicating that frequent gene flow occurs between all populations.
5-15-2019 FACTORS THAT INFLUENCE INFORMATION TECHNOLOGY USE DURING POST-IMPLEMENTATION : A LITERATURE

Organizations invest in Information Technology (IT) expecting to derive organizational performance benefits from their investments. However, most of the investments do not result in expected benefits because either the implementation fails, or the IT implemented gets misused, underutilized or abandoned during post-implementation. Research suggests that for an organization to derive benefits from its IT investments, users in the organization should actively use the IT for an extended period. Consequently, researchers have investigated factors that can influence IT-use during post-implementation; howbeit, the factors are dispersed across individual publications. Drawing on a review of 68 empirical articles on IT-use, this paper collates and synthesizes factors that influence IT-use during postimplementation. The factors consist of support structures, support properties, and support activities, and do manifest at different levels. Relationships among the factors and IT-use are discussed. Further, this study collates various perspectives on IT-use to improve our understanding of the different ways in which users engage with IT during post-implementation. Finally, the implications of the findings for research and practice are discussed. In general, this study contributes to research on the derivation of business value of IT from IT investments, and specifically, to research on IT-use during post-
Evaluation and Development of Data Mining Tools for Online Social Networks

This chapter reviews existing data mining tools for scraping data from heterogenous online social networks. It introduces not only the complexities of scraping data from these sources (which include diverse data forms), but also presents currently available tools including their strengths and weaknesses. The chapter introduces our solution to effectively mining online social networks through the development of VoyeurServer, a tool we designed which builds upon the open-source Web-Harvest framework. We have shared details of how VoyeurServer was developed and how it works so that data mining developers can develop their own customized data mining solutions built upon the Web-Harvest framework. We conclude the chapter with future directions of our data mining project so that developers can incorporate relevant features into their data mining applications.
REVEALING PATTERNS Using parametric design patterns in building façade design workflow HSIU-PAI SU and SHENG-FEN CHIEN

The objective of this paper is to provide a way of viewing design knowledge imbedded in the design workflow. By reviewing known design projects, we have observed common occurrences of design patterns in different stages of parametric façade design workflow. We demonstrate the application of parametric design patterns in practices as preliminary studies of forming a pattern language of parametric design.
Collaborative Design with Mobile Augmented Reality

In early design process, designers employ several media for externalizations of their design ideas which facilitate decision making, discussion and evaluation. Especially models are the most common representation tools and are used generally to understand and make spatial reasoning on the design ideas. Besides the traditional methods, today, the technological developments bring new ways for collaboration and design in 3D; the mobile augmented reality (MAR) technology is one of them. MAR is augmented reality technology which is provided by mobile devices. This study focuses on the early design process of collaborative designers' communication when they are working with the MAR technology. We developed a MAR environment for designers, and conducted an experiment to understand the key elements of the interaction of the designers with the interface. The communication and interaction of the designers are analyzed using the protocol analysis method. The results show that the MAR technology supports the co-design activities encouraging the designers to manipulate the created artefact. The results of the study would be indicative for future studies.
SPEED CONTROL OF A 6 / 4 SWITCHED RELUCTANCE MOTOR DRIVE

Now a days, Switched Reluctance Motors (SRMs) attract more and more attention. The Switched Reluctance Motor is simple to construct. It not only features a salient pole stator with concentrated coils, which allows earlier winding and shorter end returns than other types of motors, bur also features a salient pole rotor, which has no conductors or magnets and is thus the simplest of all electric machine rotors. Simply makes the SRM inexpensive and reliable, and together with its high speed capacity and high torque to inertia ratio, makes it a superior choice in different applications. The open loop and closed loop control of SRM drive is presented in this paper. Finally open loop and closed loop controllers for a three phase 4/6 SRM drive is implemented in Matlab/simulink software and the corresponding results are presented.
Methods to improve diagnostic accuracy in a community mental health setting.

OBJECTIVE This study determined the extent to which adding structured procedures improved diagnostic accuracy for outpatients with severe mental illness in a community mental health setting. METHOD The Structured Clinical Interview for DSM-III-R (SCID) was used to interview 200 psychiatric outpatients. A research nurse reviewed medical records and amended the SCID diagnoses accordingly. A research psychiatrist or psychologist reviewed the diagnostic data and interviewed each patient to verify or further modify the previous findings. Diagnostic outcomes at each step of the procedure were compared to determine whether adding additional data improved diagnostic accuracy. The additional time required for each element of the diagnostic procedure was also assessed. RESULTS Kappa comparisons of the different diagnostic levels showed that adding additional data significantly improved accuracy. Diagnoses rendered by combining the SCID and review of the medical record were the most accurate, followed by the SCID alone, and then diagnoses made by psychiatrists during routine care. In addition, the SCID alone identified five times as many current and past secondary diagnoses as were documented routinely in patients' charts. CONCLUSIONS Combining structured interviewing with a review of the medical record appears to produce more accurate primary diagnoses and to identify more secondary diagnoses than routine clinical methods. The patients' knowledge of their diagnoses was limited, suggesting a need for patient education in this setting. Whether use of structured interviewing in routine practice improves patient outcomes deserves further study.
Recent Advances in Adaptive Liquid Crystal Lenses

An adaptive-focus lens is a device that is capable of tuning its focal length by means of an external stimulus. Numerous techniques for the demonstration of such devices have been reported thus far. Moving beyond traditional solutions, several new approaches have been proposed in recent years based on the use of liquid crystals, which can have a great impact in emerging applications. This work focuses on the recent advances in liquid crystal lenses with diameters larger than 1 mm. Recent demonstrations and their performance characteristics are reviewed, discussing the advantages and disadvantages of the reported technologies and identifying the challenges and future prospects in the active research field of adaptive-focus liquid crystal (LC) lenses.
HOLOSYNC A Comparative Study on Mixed Reality and Contemporary Communication Methods in a Building Design Context

The integration of technology into the design process has enabled us to communicate through various modes of virtuality, while more traditional face-to-face collaborations are becoming less frequent, specifically for large scale companies. Both modes of communication have benefits and disadvantages virtual communication enables us to connect over large distances, however can often lead to miscommunication, while face-to-face communication builds stronger relationship, however may be problematic for geographically dispersed teams. Mixed Reality is argued to be a hybrid of face-to-face and virtual communication, and is yet to be integrated into the building design process. Despite its current limitations, such as field of view, Mixed Reality is an effective tool that generates high levels of nonverbal and verbal communication, and encourages a high and equal level of participation in comparison to virtual and face-to-face communication. Being a powerful communication tool for complex visualisations, it would be best implemented in the later stages of the building design process where teams can present designs to clients or where multiple designers can collaborate over final details.
ESTIMATION OF GLOBAL SOLAR IRRADIATION BY USING TAKAGI-SUGENO FUZZY SYSTEMS

Artificial intelligence, as an alternative to the conventional statistical methods, has the ability to track complicated dependencies between different variables, where traditional methods have their limits. The fuzzy sets theory replaces the classical bivalent logic with a multi-valued logic. In this paper is developed a new model for estimation of daily global solar irradiation using Takagi-Sugeno fuzzy algorithms. Model construction procedure is presented in detail and a comparison with other models from literature is carried out. A critical assessment of the model performance is presented. Even if the model was built with data measured from the meteorological station of Timisoara, its application can be extended to other locations with similar meteorological regime. This conclusion is supported by the results obtained from testing the model in several locations.