Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality Of Life and Satisfaction of Patients Wearing Full-Arch Implant- Supported Prosthesis: Observational, Analytic and Transversal Study

Few studies have assessed the real gain in satisfaction and quality of life of patients rehabilitated with full-arch implantsupported prosthesis. Here, a validated questionnaire (OHIP-14) was used to assess satisfaction and quality of life of patients using total upper and/or lower prosthesis who were rehabilitated with this type of prostheses. The sample consisted of 150 patients divided in three groups (Group 1 = lower protocol; Group 2 = upper protocol; and Group 3 = upper and lower protocol). Most of the answers were zero for all three groups. The intergroup analysis showed no significant difference in the total sum of questions. In the intragroup analysis, the total sum of questions was significantly smaller in the Upper and Lower Group. Time of use of fixed prosthesis accounts for over 30% of the variation in total OHIP-14. There was no influence of protocol location on OHIP-14 answers and, in general, the satisfaction of patients rehabilitated with implant-supported prosthesis is clear.
Crop and weed discrimination using Laws’ texture masks

Computers have become an integral part of human lives. Computers are used in almost every field even in agriculture. Technologies like computer vision-based pattern recognition are being used to detect diseases and pests like weeds affecting the crop. The Weeds are unwanted plants growing among crops competing for nutrients, water, and sunlight. It can significantly reduce the quality and yield of the crops incurring a huge loss to the farmers. This paper investigates the use of texture features extracted from Laws’ texture masks for discrimination of Carrot crops and weeds in digital images. Laws’ texture method is one of the popular methods used to extract texture features in medical image processing, though not much explored in plant-based images or agricultural images. This experiment was carried out on two categories of benchmark digital image datasets of Carrot crop and Carrot weed respectively, which are publicly available. A total of 70 texture features were extracted. The dimensionality reduction technique was used to get the optimal features. These features were then used to train the Random Forest classifier. The results and observations from the experiment showed that the classifier achieved above 94% accuracy. Keywords: precision agriculture, crop, weed, texture analysis, classifier DOI: 10.25165/j.ijabe. 20201301.4920 Citation: Kamath R, Balachandra M, Prabhu S. Crop and weed discrimination using Laws’ texture masks. Int J Agric & Biol Eng, 2020; 13(1): 191–197.
Factors Contributing to Low Performance of Boys in English Language at Ordinary Level: A Focus on Six Secondary Schools in Chegutu District, Zimbabwe

Issues of learner performance have remained central to many academics and scholars. Apart from the purpose it serves as an indicator of quality, learner performance justifies the extent to which resources are expended, at the same time assessment of learner performance acts as a mirror on the level at which educational goals are being met. Learner performance has now become a gender issue. When reference is made to gender issues in education focus has tended to be on factors that have disadvantaged the girl learner. However, there have been observations that the performance of girls has been much better than boys in a number of areas at both primary and secondary school. One such area has been the English Language O’ level examinations in Zimbabwe. The purpose of the study was to analyze factors that contribute to low performance by boys in English Language at O’ level. The study used the mixed methodology and the case study design. Data was collected from six purposively selected secondary schools in Chegutu district and 24 English language teachers, 200 O’ level female learners and 200 O’ level male learners who were randomly selected. Data was collected through the use of questionnaires and face-to-face interviews. The major factors analyzed were the use of traditional teaching methods which most boys found boring; the verbal medium which tended to favour girls; gender stereotype and culture which promoted physical activity among boys; negative attitudes by teachers and boy learners; gender imbalances in the distribution of teachers which tended to disadvantage boy learners; lack of reading culture; and limited teaching and learning resources in schools. The study makes recommendations on the need for teachers to move away from relying on the traditional methods of teaching and incorporate modern educational technology. It also recommends gender balance in the distribution and allocation of teachers. It further recommends constant supervision of teachers and learners.
Assessment on Sustainability of Micro and Small Scale Food and Beverage Outlets in the North Western Part of Ethiopia: Lessons from the Historic City of Gondar

Micro and small scale food and beverage outlets are a rapidly expanding and dynamic sector of regional tourism industries in North Western Part of Ethiopia in general and the historic city of Gondar in particular. However, attempts to improve sustainability of these enterprises have often proved misguided largely due to poor understanding of issues affecting owners/ managers. So, the objective of this research was to assess a range of factors that would determine sustainability of micro and small scale food and beverage outlets. To this end, an in-depth interview together with document consultation was employed to complement each other. Samples were taken from tea rooms, hotels, butcher shops, cafeterias, restaurants, traditional dish houses, juice house, and groceries. To assure the reliability of the data all interviews were recorded and registered word for word throughout the courses of interview. The interpretation of the data employed a thematic descriptive approach. The findings suggest that the sustainability of micro and small scale food and beverage outlets are challenged by the capacity of owner-managers in planning, marketing, resource management, and use of information technology; and external factors such access to working space and raw material.
Influencing Factors Of Futures Contract – Evidences From Indian It Companies Equity Futures

: Theoretically, both the spot and futures market must move together and adjust or respond to the information and events in a similar manner The main objective of this paper is to analyze the factors influencing futures contract. Eight top market capitalization Indian IT companies were used. Number of Contracts, Spot Return and Turnover were the major factors have significant impact on the futures return.
Comparative study of efficacy and adverse effects profile of azilsartan, olmesartan and candesartan in the control of essential hypertension

Hypertension is a common disorder in adults around the globe and among the most common attributable causes of mortality. The goal of antihypertensive therapy is to maintain blood pressure of <140/90mmHg for most people. The angiotensin receptor blockers (ARBs) have been in clinical use since 1995 and known to be effective antihypertensive agent with excellent tolerability profiles. Azilsartan medoximil, a new generation ARB for the treatment of essential hypertension. Azilsartan was discovered through the efforts of scientists from Takeda, a Japanese pharmaceutical company by modifying the tetrazole ring present in candesartan. The chemical structure of azilsartan is very similar to the structure of candesartan and differs only by replacement of candesartan’s 5 member tetrazole ring with the oxaoxadiazole ring of azilsartan. This modification makes azilsartan less acidic and more lipophilic than candesartan. Azilsartan was recently approved and has been shown to provide a more potent and sustained antihypertensive effects than other ARBs. Azilsartan medoxomil, ABSTRACT
Storage Stability of a Nigerian Traditional Corn-Based Snack (Kokoro)

A Nigerian traditional corn-based snack, Kokoro was produced by the traditional hand rolling method and with the use of a manual extruder. Samples from the market were designated as Control. The chemical composition of the samples was determined using standard laboratory procedures. Sorption isotherms were determined using static gravimetric method at different water activities (aw) (0.22 0.85) and temperatures (20 – 40 o C). Data obtained were analyzed using Analysis of Variance and means were separated with Duncan’s multiple range test. Ash, moisture, fat, Free Fatty Acid (FFA), calcium, zinc, iron, phosphorus and potassium contents for traditional hand rolled and manual extruded Kokoro samples ranged from 1.56-1.76%, 1.46 to 4.46%, 31.25-34.97%, 0.33 to 0.45% 68.92 to 71.02 mg/100g, 1.76 to 1.94 mg/100g, 4.89 to 6.11 mg/100g, 218.5 to 233.5 mg/100g and 288.0 to 317.0 mg/100g, respectively. The high fat content predisposes the Kokoro samples to rancidity. Peleg, Oswin and GAB sorption models gave the highest R 2 values (R 2 >0.991), lowest % Error (%E) and Root Mean Square (RMSQ) values (%E < 0.4%, RMSQ < 1.05). The storage stability study showed that bacterial loads for hand rolled were significantly (p<0.05) higher than those of manually extruded Kokoro. The sorption isotherm studies revealed that the monolayer value which is indicative of the safest water activity (aw) for an acceptable and good keeping quality Kokoro was found to be 1.8 to 4.28 kgsolid/kg-water (dwb).
THE IMPACT OF TAX CUT ON FOREIGN DIRECT INVESTMENT: A CASE STUDY IN SOUTHEAST ASIAN COUNTRIES

In this paper, we have examined the impact of tax cut on foreign direct investment (FDI) in Southeast Asian countries as a response to the debatable issue of the relationship between tax cut policy and FDI. We use corruption perception index and government effectiveness as the control variable, as well as other economic and demographic variables such as GDP growth, tax revenue, inflation, unemployment and population growth. Using Fixed Effect Model on panel data for a period of 1997-2016 adopted from World Bank, UNCTAD, and various websites, our findings suggest that in Southeast Asian countries, even though corporate tax cut policy gives a negative effect on FDI, this tax cut policy is not the main factor that induce investors. It is trade openness and GDP growth which become the reasons for investors to invest in this region. Moreover, the effect of government performance has played pivotal role in attracting FDI inflows.
Infections by Small Ruminant Lentiviruses

Small ruminant lentiviruses (SRLV) affect sheep and goats. Though in many cases clinical signs are hardly noticeable, infections in both species may produce economic losses due to an insidious drop in milk production, weight loss or decrease in progeny. Diagnosis is problematic because there is no ‘gold standard’ diagnostic test and the inconvenience in obtaining blood samples. This book supplies evidence that milk is an adequate sample for diagnosis instead of blood, especially for serology, and that a serological method, such as ELISA, should be used in combination with a molecular biology method, such as PCR, for a more accurate diagnosis. This may be related to the different role played by SRLV-specific antibodies in sheep and goats. The book also describes the results of one of the first studies using milk instead of blood to estimate seroprevalence of SRLV in the central region of Spain, as well as the most recent prevalence study in this area, the risk factors which may affect SRLV infection, and to what degree productivity may be affected. All these data should aid farmers, laboratory diagnosis and researchers in controlling SRLV infections.
Concentrations Using Empirical Mode Decomposition

Regional-scale air quality models are being used fo r studying the sources, composition, transport, 10 transformation, and deposition of fine particulate matter (PM2.5). The availability of decadal air quality simulati ons 11 provides a unique opportunity to explore sophistica ted model evaluation techniques rather than relying solely on 12 traditional operational evaluations. In this study, we propose a new approach for process-based model evaluation of 13 speciated PM2.5 using improved Complete Ensemble Empirical Mode De composition with Adaptive Noise (improved 14 CEEMDAN) to assess how well version 5.0. 2 of the co upled Weather Research and Forecasting model Comm unity 15 Multiscale Air Quality model (WRF-CMAQ) simulates t he time-dependent long-term trend and cyclical vari ations in 16 the daily average PM 2.5 and its species, including sulfate (SO 4), nitrate (NO3), ammonium (NH4), chloride (Cl) organic 17 carbon (OC) and elemental carbon (EC) . The utility of the proposed approach for model evaluation is d emonstrated 18 using PM2.5 data at three monitoring locations. At these locati ons, the model is generally more capable of simulat ing 19 the rate of change in the long-term trend component than its absolute magnitude. Amplitudes of the sub easonal and 20 annual cycles of total PM 2.5, SO4 and OC are well reproduced. However, the time-depe ndent phase difference in the 21 annual cycles for total PM 2.5, OC and EC reveal a phase shift of up to half year , indicating the need for proper temporal 22 allocation of emissions and for updating the treatm ent of organic aerosols compared to the model versi on used for this 23 set of simulations. Evaluation of sub-seasonal and inter-annual variations indicates that CMAQ is more capable of 24 replicating the sub-seasonal cycles than inter-annu l variations in magnitude and phase. 25
Kinetics of phenol degradation by selected bacterial strains with different genetic properties

The major environmental problem in the northeastern Estonia is the semi-coke mounds in oilshale industry areas, Alternatives to the chemical methods (sorption, ozonation) for removingxenobiotic compounds from leachate are biological methods, like bioaugmentation, where theproperly selected microorganisms are used. Determination of the kinetic constants (maximumspecific growth rates (µmax), lag times (A.), half saturation constants (Kso for oxygenatingactivity and Ksa for growth) and inhibition constants (Ki)) will give us information about therate of pollutant degradation and is the basis for the selection of the most effective bacteria forbioaugmentation. In phenol degradation the initial and rate-limiting enzyme is phenolhydroxylase, encoded by different genes, The aim of this work was to carry out a kineticstudy of the aerobic degradation of phenol using single strains (Pseudomonas mendocinaPC 1, P. fluorescens PC 18, PC20 and PC24) isolated from river water continuously pollutedwith phenolic compounds, The strains PC 1 and PC 18 contain genes for multicomponentphenol hydroxylase, whereas single-component phenol hydroxylase (pheBA operon)characterizes the strains PC20 and PC24, The phenol-oxygenating activity (Kso) was obtainedfrom substrate-dependent oxygen uptake data (oxygen concentrations were measured with aClark-type oxygen electrode) using Michaelis-Mentens model. Specific growth rates µ andlag times). were calculated from absorbance growth curves on phenol concentrations 0,2-10.6mM and the growth kinetic constants (µmax, Ksa, Ki) were estimated using Haldanes, Edwardsand Aiba-Edwards model. The Kso values for phenol were one order of magnitude lower instrains PC 1 and PC 18 than in strains PC20 and PC24.
Clinical Outcomes of the Michigan Cranial Reshaping Orthosis: A Retrospective Review of Outcomes Measured by Three-Dimensional Laser Scanning

ABSTRACT Introduction: Infants treated for positional cranial asymmetry involving plagiocephaly, brachycephaly, and scaphocephaly are often treated with cranial reshaping orthotic helmets to encourage symmetrical cranial growth. The Michigan Cranial Reshaping Orthosis is a bivalve helmet that accommodates overall cranial growth during the therapy period while still directing cranial growth toward the desired areas. This design differs from standard one-piece helmets that allow limited volume for overall cranial growth. This study examines the efficacy and success rate of this low-profile design. Materials and Methods: Visual inspection and manual measurements taken throughout the helmet therapy period, using a flexible tape measure and an AP-ML gauge, indicate significant cranial asymmetry correction. However, measurement inconsistencies due to soft tissue compression and clinician technique may limit the accuracy of outcome measures. Seventy subjects treated for plagiocephaly and/or brachycephaly with the Michigan Cranial Reshaping Orthosis were identified in this retrospective study. Data were compiled from Omega Tracer (Ohio Willow Wood Company, Mount Sterling, OH, USA) computer-aided design clinical database of three-dimensional cranial scans taken before and after helmet therapy. Cranial helmet therapy treatment timeline was verified through the electronic medical record database. Cranial landmarks were defined on each three-dimensional image. Measurements between defined points were compared on the initial assessment scanned image and the final discharge scanned image for each patient. Results: Comparison of initial and final three-dimensional scans showed improved symmetry in the relevant measures of cranial vault asymmetry index (CVAI) and cephalic ratio (CR) in 84.3% of subjects. Children in the plagiocephaly-only group showed 28.8% improvement in CVAI. Although sample size was low, children in the brachycephaly-only group showed 4.66% improvement in CR. Children in the combined plagiocephaly/brachycephaly group showed 41.4% improvement in CVAI and 2.60% improvement in CR. Overall, a 33.5% in CVAI and 2.10% improvement in CR were seen. These results are comparable to other studies of remolding helmet efficacy. Conclusions: The data in the present study, therefore, support the use of the Michigan Cranial Reshaping Orthosis as a viable option in the treatment of plagiocephaly and/or brachycephaly when the primary method of treatment is utilization of a cranial remolding helmet.
The art of stage-craft: A dramaturgical perspective on strategic change

This article contributes to our understanding of how organisations change the set of practices and practitioners involved in strategising, what we term the ‘strategy arrangement’. Drawing on insights from a qualitative study of the introduction and subsequent removal of a new strategy team, we develop a dramaturgical theory of the practices involved in changing strategy arrangements. First, we conceptualise the relationship between the frontstage performances where impressions are generated and the backstage work that takes place to craft and control those impressions. Second, we distinguish between preventive practices designed to ‘stage the show’, where foresight is used to imagine the impressions of the audience and inform the design of the show, and corrective practices designed to ‘save the show’, where the desired impression has been discredited and repair is needed to restore the desired impression. Third and finally, we distinguish between the more innocuous backstage practice of rehearsing, the ‘behind the scenes’ work that involves taking up the roles of actor, playwright, director, audience and critic to craft the show, and the less innocuous practice of conspiring, where team members work ‘behind the backs’ of the audience to construct false impressions. In so doing, we seek to advance strategy-as-practice research by developing a dramaturgical theory of practice that captures the theatrical dynamics of strategic change.
NIMA (Network Impact Modeling and Analysis): A QoS Perspective

The mammoth Internet traffic growth puts a significant load on Internet Service Provider's (ISP) network capacity which impacts a wide range of network Quality of Service (QoS) metrics such as latency, jitter, throughput, packet loss, link utilization, load balancing, and service availability. From the ISP's perspective, understanding the possible impact of the future Internet traffic on its network QoS is critical for provisioning their network capacity in a cost-effective manner while meeting Service Level Agreement (SLA) between an operator and its customers. To achieve the above goal, one needs a mechanism that is capable of taking input from the projected future traffic, assign the forecasted traffic over the end-to-end network, and then analyses the impact on the network's QoS status. In this paper, we developed a novel network planning framework, namely Network Impact Modeling and Analysis (NIMA) that uses novel methods and techniques to alert ISP's network capacity planners on the: (a) links that are subject to high-risk in terms of congestion; (b) impact on latency, jitter, packet loss, and throughput; (c) impact on load balancing; and finally suggests an optimal routing strategy that can improve the overall network health. For simulation purposes, we used Mininet in combination with a floodlight controller for implementation. The experiments are performed on different sized mesh topologies to test the effectiveness of our proposed framework.
Forecasting Tourist Arrival To Bali-Indonesia From 3 Continents Using Thief-MLP Hybrid Method

In this study, four different method namely Thief-MLP Hybrid, Thief-ELM Hybrid, TBATS and Theta methods are adopted and compared for forecasting tourist arrival to Bali-Indonesia from 3 different continents such as the Australia continent, Europe continent, and Asia continent. To evaluate performance of different methods, the criteria like the Mean Absolute Percentage Error (MAPE) and The Mean Absolute Scaled Error (MASE) are used. This study demonstrates that Thief-MLP Hybrid method outperforms Thief-ELM Hybrid, TBATS and Theta methods. Thus, we can produce short-term forecasts and give a contribution to exploring the best performances of the Thief-MLP Hybrid method.
AUDIT ON NETWORK WORK PROCESS ADMINISTRATION FRAMEWORK

: Unique A work process application comprises of a piece of part applications that must be executed in the request controlled by their control and information reliance These can have various segment applications that can be executed simultaneously, or once in a while only a solitary segment which can be executed in parallel on numerous processors. Such parallelization brings about efficient usage of the figure energy of Network. The primary issues engaged with work process speciﬁcation are the work process portrayal model and data about the applications sent on lattice. Likewise, for the execution of work process, the fundamental issues to be tended to are application disclosure and determination, co appointment of work process execution and giving adaptation to internal failure instruments. Network middleware, which tends to the previously mentioned issues in work process speciﬁcation and execution, has been named as Framework work process administration framework {GWMS}.
Application of Odontometry in gender determination: A cross sectional study

1 Associate Professor, Department of oral medicine and radiology, Kamineni Institute Dental Sciences, Sreepuram, Narketpally, Telangana, India 2 Assistant Professor, Department of oral medicine and radiology, Kamineni Institute Dental Sciences, Sreepuram, Narketpally, Telangana, India 3 Assistant Professor, Department of oral medicine and radiology, SB Patil Dental College And Hospital, Near Bharat Ford Showroom, Bidar Humnabad Rd, Naubad, Bidar, Karnataka, India 4 Assistant Professor, Department of oral medicine and radiology, YCMMRDF'S Dental College And Hospital, Ahmednagar, Maharashtra, India
Chapter 11 : Fitting birth-death models Section 11 . 1 : Hotspots of diversity

The number of species on the Earth remains highly uncertain, but our best estimates are around 10 million (Mora et al. 2011). This is a mind-boggling number, and far more than have been described. As far as we know, all of those species are descended from a single common ancestor that lived some 4.2 billion years ago (Hedges and Kumar 2009). All of these species formed by the process of speciation, the process by which one species splits into two (or more) descendants (Coyne and Orr 2004).