Miracle-dz/UniFAR-FTUs huggingface dataset:
Upper Crossed Syndrome and Dentistry Why the Need for Concern

Occupational hazard is an umbrella term, encompassing various short and long term risk factors encountered in the work place. Being un heedful of the potential work environment risk factors will lead to vulnerable state. Dental profession presents a unique platform relating to work burdens and ailments. Occupational Safety and Health Administration has outlined the involved factors related to dentistry, its recognition, control and prevention. Major risk factors included, but essentially not limited are biological, chemical and pharmaceutical hazards, musculoskeletal disorders and ergonomic issues, noise and vibration related hazards and psychological issues [1]. Musculoskeletal disorders (MSD) are key contemporary dental occupational hazard and its reported incidence is as high as 81.4% [2]. The work related pain was mostly attributed to shoulder, lower back and neck region [3]. Lower back pain had high prevalence of 64%, closely followed by 60% neck pain, with simultaneous pain in multiple sites tagging behind [4]. Females are found to be at higher risk than that of a male dentist.
Characterization of Vibrio Isolates from Carpet Shell Clam (Ruditapes Decussatus) Suffering from Brown Ring Disease (BRD) on Tunisian Coasts

A total of 13 pathogenic Vibrio spp. bacteria were isolated fro m carpet shell clams (Ruditapes decussatus) with Brown Ring Disease (BRD) in Tunisia. Organisms were identified based on a combination of phenotypic and mo lecular methods (SSP-PCR and 16SrDNA sequencing). Viru lence effects were determined by in vivo testing on R. decussatus and in vitro testing on the Manila clam (Ruditapes philippinarum). All isolates demonstrated biochemical profiles typical of Vibrio spp; nine different biotypes. Three isolates were identified as V.splendidus biovar II TA E2 but the remain ing isolates fell into eight biotypes different fro m each other and fro m the V.tapetis biotype. Species delineation based on 16S rDNA sequencing indicated that the isolated Vibrio spp closely resembled V.chagasii (eight isolates), V.splendidus (two isolates), V.alginolyticus(one isolates), Psychrobacter spp. and Pseudoalteromonas mariniglutinosa (one isolates for each). In vitro cytotoxicity effects and mortalit ies could be induced by the isolates of V.chagasii, V.splendidus and V.alginolyticus at lower dosages than induced by V.tapetis (CECT4600).
Experimental and numerical investigation of supported rhodium catalysts for partial oxidation ofmethane in exhaust gas diluted reactionmixtures

The partial oxidation of methane/oxygen mixtures with large exhaust gas dilution (46.3 vol% H2O and 23.1 vol% CO2) has been investigated experimentally and numerically over Rh/CeO2.ZrO2, Rh/ZrO2 and Rh/ -Al2O3 catalysts. Experiments were carried out in a short-contacttime (∼ 8 ms) reactor at 5 bar and included exhaust gas analysis, temperature measurements along the reactor, and catalyst characterization. Additional experiments were performed in an optically accessible channel-flow reactor and involved in situ Raman measurements of major gas-phase species concentrations over the catalyst boundary layer and laser-induced fluorescence (LIF) of formaldehyde. A full elliptic twodimensional numerical code that included elementary hetero-/homogeneous chemical reaction schemes and relevant heat transfer mechanisms in the solid was used in the simulations. The employed heterogeneous reaction mechanism, including only active Rh sites, reproduced the experiments with good accuracy. The ratio of active to geometrical surface area, deduced from hydrogen chemisorption measurements, was the single model parameter needed to account for the effect of different supports. This indicated that water activation occurring on support sites, resulting in inverse OH spillover from the support to the noble metal sites, could be neglected under the present conditions with high water dilution. An evident relationship between noble metal dispersion and catalytic behavior, in terms of methane conversion and synthesis gas yields, could be established. Both measurements and predictions indicated that an increasing Rh dispersion (in the order Rh/ -Al2O3, Rh/ZrO2, and Rh/CeO2.ZrO2) resulted in higher methane conversions, lower surface temperatures, and higher synthesis gas yields. 2007 Elsevier Ltd. All rights reserved.
1 REDISCOVERY OF PATTERN LANGUAGE FROM THE INFORMATION SYSTEMS VIEWPOINT

Software engineering produced the significant results of design patterns, Pattern-Oriented Software Architecture, and so forth, by using the pattern language of architectonics, but it only focused on the aspect of the format of the pattern as know-how description. Focusing on another aspect of pattern language—“timeless way” as continuous activities—it seems that pattern language is an ideal mechanism to incorporate the requirements and the design constraints of information systems into itself as organization learning. In this paper, the information systems cycle is proposed for the building process of the enterprise information systems from such a viewpoint, and the meaning and the problem of incorporating the pattern language into the cycle are discussed.
Methods and technologies for creation of the information processing system applied to publications on geology of the Russian Far East

Quantitative database extracted from scientific publications is developed within the framework of the development of the Information Infrastructure in order to support scientific geological research of the Russian Far East. Based on the analysis of the existing methods and technologies used for processing of scientific publications, new technological approaches to automatic extraction and processing of quantitative data in scientific publications are applied. This is the e-book version of the article, published in Russian Journal of Earth Sciences (doi:10.2205/2015ES000560). It is generated from the original source file using LaTeX’s epub.cls class.
Panoramic Image Generation Algorithm based on Hu’s Moment Invariants

The construction of large, high-resolution image is an active area of research in the fields of computer vision, image processing, and computer graphics. A Panorama is the process of combining multiple images with overlapping fields of view to produce a panorama. It is possible to produce a complete view of an area or location that cannot fit in a single shot. In this paper a high performance method for generating panoramic image is introduced. The process to generate a panoramic view can be divided into three main components: image acquisition, image registration, and merging. Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to determine the locations of merging the images to produce the panorama. The final step is adjusting the colors of the merged images. The results of experiments conducted on images taken by camera and test images loaded from the internet. The results show that the proposed algorithm is fast and efficient.
Adoption and profitability of improved tomato variety in the Chittagong region of Bangladesh.

Mohiuddin, M. , Uddin, M. S. , Rashid, M. H. , Hossain, K. M. F. and Matin, M. A. 2007. Adoption and Profitability of Improved Tomato Variety in the Chittagong Region of Bangladesh. J . Soil . Nature . 1(3): 52-58 The study was conducted in Patiya and Satkania upazila of Chittagong district during 2005-2006 to assess the adoption status, agronomic practices and profitability of improved tomato variety among the farmers. Data were analyzed through tabular methods and Cobb- Douglas production model. The adoption status of improved tomato variety was found very low. Considering all the improved varieties that are cultivated in the study area Surokka (Indian variety) are ranked first followed by Ratan (BARI variety) and Ruma VF (Indian variety). Farmers’ consciousness about improved tomato cultivation was found increasing. Gross margin was Tk 101566/ha and Tk 140015/ha on the basis of variable cost and cash cost respectively. Per hectare net return from tomato cultivation was Tk 100338 on the basis of full cost. On the basis of variable cost, returns to labour and returns to irrigation were Tk 483 and Tk 13.33 respectively. Major reasons in favour of improved tomato cultivation were higher yields, thick fruit skin, large size, long durability and high price due to attractive colour and size. The farmers of improved tomato adopters facing several problems like non-availability of quality seed, unfavorable weather, good quality fertilizer and insecticide for tomato cultivation. High price of inputs was recorded as one of the major problem to the tomato farmers.
Investigating smallholder farmers’ exclusion from credit markets in South Africa

Access to credit by smallholder farmers in South Africa has been empirically observed to be characterised by a variety constraints. This paper examines the demographic, financial and economic characteristics of smallholder farmers in order to gain a better understanding of why smallholder farmers are excluded from formal credit markets. The paper uses survey data collected from 362 smallholder farmers randomly selected from Mpumalanga and North West Provinces of South Africa. Using descriptive analysis, the paper observes that smallholder farmers have low annual turnover, low demand for credit and often with a family culture not to borrow. The paper concludes that smallholder farmers in South Africa are still financially excluded, particularly from the formal banking systems. Results of this paper demonstrate a need for a review of financial policies in favour of increasing the supply of financial services, particularly credit to smallholder farmers if South Africa is to achieve its Millenium Development Goals of employment creation and poverty alleviation.
Factors preceding CRM readiness in small- and medium-sized tourism enterprises

Orientation: Customer relationship management (CRM) is important to organisations striving for competitive advantage through building relationships with their customers. Research purpose: This study identified the factors preceding CRM and assessed selected South African small- and medium-sized tourism enterprises’ (SMTEs) readiness for CRM. Motivation: CRM is likely to enhance SMTEs’ competitiveness. However, successful adoption and implementation of CRM is unlikely unless the organisation is ready for it. Research design, approach and method: A quantitative research approach and survey questionnaire yielded primary data from 332 respondent organisations selected by systematic sampling. Exploratory factor analysis was used to identify the latent factors preceding CRM readiness. Organisational CRM readiness was assessed based on CRM maturity in terms of data collection, use and sharing throughout the organisation. Main findings: Respondent-organisations performed well on the four factors preceding CRM readiness − business strategy, customer strategy, touch points and competencies, skills and technology and also on data collections and use, but not on data sharing. Practical/Managerial implications: CRM practice is believed to assist organisations in tailoring products and services to customers’ needs, providing customer satisfaction, enhancing customer retention and ultimately improving the organisation’s competitiveness and profitability. CRM might fail if SMTEs do not have CRM-enabling conditions in place and a CRM readiness audit should therefore be performed. Contribution: The study contributes to a largely under-researched area concerning CRM in SMTEs by providing an improved understanding of the factors that will enable SMTEs to engage in CRM activities.
CARINA alkalinity data in the Atlantic Ocean

Abstract. Data on carbon and carbon-relevant hydrographic and hydrochemical parameters from previously non-publicly available cruise data sets in the Arctic, Atlantic and Southern Ocean have been retrieved and merged to a new database: CARINA (CARbon IN the Atlantic). These data have gone through rigorous quality control (QC) procedures to assure the highest possible quality and consistency. The data for most of the measured parameters in the CARINA data base were objectively examined in order to quantify systematic differences in the reported values, i.e. secondary quality control. Systematic biases found in the data have been corrected in the data products, i.e. three merged data files with measured, calculated and interpolated data for each of the three CARINA regions; Arctic, Atlantic and Southern Ocean. Out of a total of 188 cruise entries in the CARINA database, 98 were conducted in the Atlantic Ocean and of these, 75 cruises report alkalinity values. Here we present details of the secondary QC on alkalinity for the Atlantic Ocean part of CARINA. Procedures of quality control, including crossover analysis between cruises and inversion analysis of all crossover data are briefly described. Adjustments were applied to the alkalinity values for 16 of the cruises in the Atlantic Ocean region. With these adjustments the CARINA database is consistent both internally as well as with GLODAP data, an oceanographic data set based on the World Hydrographic Program in the 1990s. Based on our analysis we estimate the internal accuracy of the CARINA-ATL alkalinity data to be 3.3 μmol kg−1. The CARINA data are now suitable for accurate assessments of, for example, oceanic carbon inventories and uptake rates and for model validation.
On the cluster analysis of grains and crystals in rocks

Abstract Cluster analysis has the potential to quantify the size and characteristics of groups or clusters of grains and crystals within a rock texture. We present two techniques: (1) the complete linkage hierarchical cluster analysis (CLHCA) technique that we use to analyze grain-center distributions, and (2) the density linkage cluster analysis (DLCA) technique that we use to analyze grain boundary distributions. CLHCA applies a cluster algorithm to the distance matrix calculated from grain-center coordinates. This produces a hierarchical cluster distribution that is characteristic of the spatial pattern of the texture. This cluster distribution is normalized to that of a random distribution of points to identify clustered and ordered patterns in the data. The technique successfully identified 3-D cluster sizes from 2-D sections of a modal data set. In the application to real rock textures, the CLHCA of a komatiite cumulate identified a glomerocryst population with cluster sizes in the range of 0.3-2.5 mm, and also a variation of cluster patterns up through the cumulate pile. The CLHCA of a polymodal texture from a pyroxene-scapolite-sphene granulite indicated a clustered distribution for the sphene, which was restricted in growth pattern by the pyroxene and scapolite in the texture. DLCA computes a single solution of clusters that conforms to the search criteria input into the algorithm. DLCA performed poorly when used to identify distributions of large, randomly packed clusters of small spheres, mainly identifying smaller cluster patterns within each large cluster. Application of DLCA to the komatiite cumulate example indicated cluster lengths of 0.72-0.80 mm similar to the CLHCA results, and an average aspect ratio of 1.52.
The effect of building energy management systems on battery aging

Smart buildings are a key element to walk towards smart cities and grids. Nonetheless, there are several degrees of intelligence. A first step is to incorporate commercial self-consumption solutions in buildings so they can manage the energy from local renewable power generators. A second step is to substitute this commercial solutions with an optimized Energy Management System (EMS) to reduce the electricity bill at the end of the month. Further. This EMS may contribute to stabilize and improve the quality and emissions of the electricity grid by offering some energy flexibility to the electricity system in favour of decentralization. This study compares the battery aging between buildings that count with an EMS to optimize the electricity bill under three scenarios in contrast to those that have a simple self-consumption kit. Lithium ion battery lifespan is estimated by means of an electric equivalent battery circuit model that runs on Matlab and simulates its behaviour through time. Moreover, this study evaluates the distribution of the battery costs regarding its use, observing that batteries controlled by simple self-consumption kits have longer lifespan because they are underused, ending up in higher calendar aging costs than the ones that are controlled by EMS.
Modeling and Numerical Simulation of Ferroelectric Material Behavior Using Hysteresis Operators

The piezoelectric effect is a coupling between electrical and mechanical fields within certain materials that has numerous applications ranging from ultrasound generation in medical imaging and therapy via acceleration sensors and injection valves in automotive industry to high precision positioning systems. Driven by the increasing demand for devices operating at high field intensities especially in actuator applications, the field of hysteresis modeling for piezoelectric materials is currently one of highly active research. The approaches that have been considered so far can be divided into four categories:
An Implementation of RCA to Find High Accuracy & Least Error Rate Using Weka Tool over the Various Data Sets

— Data mining is the approaching inquiries range to solve a number of difficulties and classify datasets is one of the main in the applied of data mining. Data mining denotes to mining knowledge as of big size of records. In this implementation, many datasets are paralleled with RCA (Reliability Classification Algorithm). This classification is used to sort each in set of data in to one of the established in advance set of classes. The data sets are arranged and collected from the Educational Sector, Health care & Agriculture etc., The current study designed to do the great performance result of decision tree Reliability Classification Algorithm using freely available data mining WEKA tool over the different data sets. A reliability classification algorithm for a several data sets are chosen based on excessive classification accuracy and minimum fault rate. This work has been carried out to make a performance evaluation of RCA. The results in this paper demonstrate that the efficiency of RCA is good to perform over various datasets better than other classifiers.
Adoption and impact of conservation farming on crop productivity among smallholder farmers in Kapiri Mposhi District of Zambia.

1 SUMMARY Crop productivity among small-scale farmers in Zambia is constantly low mainly due to poor and unsustainable farming systems. As a solution, conservation farming (CF) is being advocated to scale up crop productivity. This study was undertaken to assess the rate of adoption and ascertain the impact of this practice on crop productivity among small-scale farmers in Kapiri Mposhi District. A structured questionnaire was administered to 252 farm householders randomly selected and data collected were analyzed using SPSS. About 91% of farmers are practicing the technology at different levels depending on the component adopted out of the six, namely minimum land tillage; laying out fixed planting basins; no burning of crop residues; planting and input application in basins; and rotation with nitrogen-fixing crops for soil fertility restitution, outlined by the Conservation Farming Unit (CFU). Some respondents (10.3%) have adopted five to six components of the technology, 39.7% four and 40.5% practicing only the reduced tillage. Overall, the adoption rate between 2000 and 2008 stands at 98.9%. Increased maize yield after CF adoption was recorded among 65.7% of the respondents with a gain in yield amounting to 2 tons/ha on average, which is three times more than the yield from conventional farming. It is, therefore, concluded that CF constitutes currently one of the major keys to increasing crop yield and productivity in Zambia. The extension service should focus on achieving the adoption of the technology on a larger scale to ensure food security in the country. To diffuse the adoption, the Ministry of Agriculture in partnership with other stakeholders should take a proactive role to strengthen and support extension services for the provision of farmers hands-on training, production and dissemination of training materials, increase in number of demonstration plots, backstopping in fields and for monitoring and evaluation of adoption and impact. It should also embark on full scale distribution of CF implements such as Chaka hoe, Magoye ripper and Teren rope within the current Fertilizer Support Programme Pack as incentive. A policy framework should be in place to link up farmers to markets to increase their confidence and scale up the adoption rate.
Zimbabwean female participation in physics: The influence of identity formation on perception and participation

Abstract The study investigated the influence of identity formation on the perceptions and participation of Zimbabwean Advanced Level (A’ Level) female adolescent students in physics. Nine female adolescent students eighteen years and above: three doing mathematics and physics, one doing physics without mathematics and five doing mathematics without physics were purposively selected. The data generating instruments used were semi-structured interview and classroom observation guides as well as document analysis. Findings show that female students associate scientists within a masculine framework in a Eurocentric environment, specifically those scientists who are depicted in their textbooks. The female students doing physics had a positive physics identity which resulted in the formation of positive perceptions towards physics and their participation in the subject. The female students with a negative physics identity perceived physics, to be irrelevant to their future aspirations, difficult, too involving and masculine causing them not to opt for physics as one of their A’ Level subjects. Thus, the formation of a positive or negative physics identity by female adolescent students influences their positive or negative perceptions of physics and hence their participation or non-participation in the subject, respectively. We recommend that a wider and more comprehensive study nationally is warranted to confirm the findings of this study.
Adaptive Control of Nonlinear Discrete-Time Systems by Using OS-ELM Neural Networks

As a kind of novel feedforward neural network with single hidden layer, ELM (extreme learning machine) neural networks are studied for the identification and control of nonlinear dynamic systems. The property of simple structure and fast convergence of ELM can be shown clearly. In this paper, we are interested in adaptive control of nonlinear dynamic plants by using OS-ELM (online sequential extreme learning machine) neural networks. Based on data scope division, the problem that training process of ELM neural network is sensitive to the initial training data is also solved. According to the output range of the controlled plant, the data corresponding to this range will be used to initialize ELM. Furthermore, due to the drawback of conventional adaptive control, when the OS-ELM neural network is used for adaptive control of the system with jumping parameters, the topological structure of the neural network can be adjusted dynamically by using multiple model switching strategy, and an MMAC (multiple model adaptive control) will be used to improve the control performance. Simulation results are included to complement the theoretical results.