nils-herrmann/clean_scirepeval huggingface dataset:
The Econometric Analysis Of Transition Data

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Development and evaluation of a spatial decision support system for malaria elimination in Bhutan
Venue: Malaria Journal

BackgroundBhutan has reduced its malaria incidence significantly in the last 5 years, and is aiming for malaria elimination by 2016. To assist with the management of the Bhutanese malaria elimination programme a spatial decision support system (SDSS) was developed. The current study aims to describe SDSS development and evaluate SDSS utility and acceptability through informant interviews.MethodsThe SDSS was developed based on the open source Quantum geographical information system (QGIS) and piloted to support the distribution of long lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) in the two sub districts of Samdrup Jongkhar District. It was subsequently used to support reactive case detection (RACD) in the two sub districts of Samdrup Jongkhar and two additional sub districts in Sarpang District. Interviews were conducted to ascertain perceptions on utility and acceptability of 11 informants using the SDSS, including programme and district managers, and field workers. total of 1502 households with a population of 7165 were enumerated in the four sub districts, and a total of 3491 LLINs were distributed with one LLIN per 1.7 persons. A total of 279 households representing 728 residents were involved with RACD. Informants considered that the SDSS was an improvement on previous methods for organizing LLIN distribution, IRS and RACD, and could be easily integrated into routine malaria and other vector borne disease surveillance systems. Informants identified some challenges at the programme and field level, including the need for more skilled personnel to manage the SDSS, and more training to improve the effectiveness of SDSS implementation and use of hardware.ConclusionsThe SDSS was well accepted and informants expected its use to be extended to other malaria reporting districts and other vector borne diseases. Challenges associated with efficient SDSS use included adequate skills and knowledge, access to training and support, and availability of hardware including computers and global positioning system receivers.
Spatial decision support system to evaluate crop residue energy potential by anaerobic digestion.
Venue: Bioresource technology

Implementing anaerobic digestion (AD) in energy production from crop residues requires development of decision tools to assess its feasibility and sustainability. A spatial decision support system (SDSS) was constructed to assist decision makers to select appropriate feedstock according to biomethanation potential, identify the most suitable location for biogas facilities, determine optimum plant capacity and supply chain, and evaluate associated risks and costs. SDSS involves a spatially explicit analysis, fuzzy multi criteria analysis, and statistical and optimization models. The tool was validated on seven crop residues located in Santander, Colombia. For example, fique bagasse generates about 0.21millionm(3)CH4year( 1) (0.329m(3)CH4kg( 1) volatile solids) with a minimum profitable plant of about 2000tonyear( 1) and an internal rate of return of 10.5% SDSS can be applied to evaluate other biomass resources, availability periods, and co digestion potential.
Achievement motivation for band: A cross cultural examination of the 2 x 2 achievement goal motivation framework

The purpose of this study was to explore the achievement goal motivation orientations of instrumental music students in the US and Singapore. Participants in this study were volunteer band students (N 359) from eight American public high schools (n 217) and five polytechnics in Singapore (n 142) Data were collected via a questionnaire that included measures of (a) the 2 x 2 achievement goal orientation constructs (mastery approach, mastery avoid, performance approach, and performance avoid) (b) flow in band rehearsal, (c) grit in practicing, and (d) commitment to band. Confirmatory factor analyses indicated that the 2 x 2 achievement goal framework specifying four latent variables (mastery approach, mastery avoid, performance approach, performance avoid) was the best relative fit to the data when compared with competing dichotomous and trichotomous models. In contrast to previous research comparing achievement goals of learners from collectivistic and individualistic cultures, no significant differences in achievement goal sub scale means were found as a function of culture. However, some differentiated patterns of relationship were found between the achievement goal sub scales and flow, grit, and commitment to band as a function of culture.
The artificial pancreas: evaluating risk of hypoglycaemia following errors that can be expected with prolonged at home use
Venue: Diabetic medicine a journal of the British Diabetic Association

Artificial pancreas systems show benefit in closely monitored at home studies, but may not have sufficient power to assess safety during infrequent, but expected, system or user errors. The aim of this study was to assess the safety of an artificial pancreas system emulating the b cell when the glucose value used for control is improperly calibrated and participants forget to administer pre meal insulin boluses.
International Research Journal of Engineering and Technology (IRJET)

Hydraulic jumps are frequently used for excessive kinetic energy dissipation under hydraulic structures like spillways, chutes, gates, drops etc. and the jumps are often generated with the assistant of baffle blocks and kept inside the stilling basin. In this research the effect of spaced and staggered semi circular strip corrugated beds on characteristics of hydraulic jump has been experimentally investigated. Comparison between different corrugation heights and spacing is also experimentally examined.Seventy experimental runs were carried out considering wide range of Froude numbers ranging from 2.5 to 6.2. Relative roughness ranges from 0.3 to 0.8 of corrugated shapes were studied under different flow conditions. Performance of hydraulic jump on corrugated beds by varying the roughness intensity by 50% 33% 25% and 20% respectively and by keeping the roughness intensity same i.e. 25%for getting optimum results was also experimentally investigated. The result of this study confirms that for spaced and staggered semicircular strips the sequent depths were reduced by average values 29% and 34% respectively, length of jump reduced by average values 21% and 24% respectively while creates a high energy loss of average values 34.6% and 36.6% respectively compared to a classical hydraulic jump respectively. Shear stress increases eight times than that of smooth bed by staggered corrugated bed. Staggered semi circular corrugated bed showed optimum results than spaced semi circular strip beds. Results of the present study were agreed acceptably with the previous studies.The use of corrugated beds reduce the length and depth as well as can decrease the stilling basin installation cost. The results also show the effectiveness of corrugated beds for energy dissipation downstream the hydraulic
Gastric mucosal irritation following oral exposure to sodium metabisulphite: A reproducible effect?
Venue: Regulatory toxicology and pharmacology RTP

Sulphiting agents, such as sodium metabisulphite (SM) are used in food as bleaching agents and to prevent browning reactions. A 1972 repeat dose study in rats found that dietary sulphites caused irritation of the stomach with inflammation, hyperplasia and bleeding. We conducted a 7 day dietary study in rats to confirm that stomach lesions were the most sensitive toxicological endpoint. Rat feed was prepared daily with 0% 0.25% 0.5% 1% or 4% (w/w) SM. Parameters included clinical signs, feed and water intake, bodyweight gain, haematology, serum protein chemistry, necropsy findings and gastrointestinal histopathology. There were no treatment related clinical signs or gastrointestinal lesions. Mean bodyweight gain was markedly decreased in the 4% (w/w) SM group although feed consumption was marginally depressed. Slightly lower mean values for RBC, Hb, Hct, total WBC and lymphocyte count were observed in the 4% SM group with no evidence of compensatory haematopoiesis. The gastric lesions in rats observed in a 1972 study of dietary SM for 10 56 days could not be replicated. These findings create uncertainty around the most relevant toxicological endpoint to establish a suitable health based guidance value, which can only be overcome if a robust long term dietary study is undertaken.
Clean Foods: The Inhibitory Effect of Five Natural Juices on the Browning of Apple Slices during Drying

Enzymatic browning, which accompanies food preservation processes based on drying, is a common obstacle to obtaining marketable and consumer appealing products. In this paper, we investigate the application of one of the methods commonly used in order to counter the browning process, namely dipping. Dipping involves a soaking of the foods in liquids or solutions in order to suppress the activity of polyphenoloxidase (PPO) enzymes, either by physically preventing oxygen from interacting with it, or by dramatically decreasing water activity and thus slowing down water dependent reactions. In this study, juices from selected fresh fruits with high ascorbic acid content were used as natural preservatives with antibrowning effects. The juices were prepared from fruit of the following species: Sorbus aucuparia, Diospyros kaki, Hippophae rhamnoides, Actinidia deliciosa, and Rosa canina. The effect of selected juices on color change was tested on dried "Idared" apple slices and was compared to slices of freshly cut apples (standard) The browning index of all sample groups showed significant differences between treatment groups and the standard except for samples treated with Rosa canina juice. The effect of the juices was also evaluated via a sensory panel, where color change, degree of browning, change of taste, and overall acceptability of the resulting color and taste were evaluated. Results showed that the best antibrowning effect was achieved by macerate from fruits of Rosa canina. The results of this study showed that dipping in some plant juices has the potential of complementing or replacing the sulphite based approach, which is the current method of choice of the food industry.
Multiview Uncorrelated Discriminant Analysis
Venue: IEEE Transactions on Cybernetics

Multiview learning is more robust than single view learning in many real applications. Canonical correlation analysis (CCA) is a popular technique to utilize information stemming from multiple feature sets. However, it does not exploit label information effectively. Later multiview linear discriminant analysis (MLDA) was proposed through combining CCA and linear discriminant analysis (LDA) Due to the successful application of uncorrelated LDA (ULDA) which seeks optimal discriminant features with minimum redundancy, we propose a new supervised learning method called multiview ULDA (MULDA) in this paper. This method combines the theory of ULDA with CCA. Then we adapt discriminant CCA (DCCA) instead of the CCA in MLDA and MULDA, and discuss about the effect of this modification. Furthermore, we generalize these methods to the nonlinear case by kernel based learning techniques. The new method is called kernel multiview uncorrelated discriminant analysis (KMUDA) Then we modify kernel multiview discriminant analysis and KMUDA by replacing Kernel CCA with Kernel DCCA. Our methods are tested on different real datasets and compared with other state of the art methods. Experimental results validate the effectiveness of our methods.
Uncorrelated multiview discriminant locality preserving projection analysis for multiview facial expression recognition
Venue: ICVGIP '16

Recently several multi view learning based methods have been proposed, and they are found to be more efficient in many real world applications. However, existing multi view learning based methods are not suitable for finding discriminative directions if the data is multi modal. In such cases, Locality Preserving Projection (LPP) and/or Local Fisher Discriminant Analysis (LFDA) are found to be more appropriate to capture discriminative directions. Furthermore, existing methods show that imposing uncorrelated constraint onto the common space improves classification accuracy of the system. Hence inspired from the above findings, we propose an Un correlated Multi view Discriminant Locality Preserving Projection (UMvDLPP) based approach. The proposed method searches a common uncorrelated discriminative space for multiple observable spaces. Moreover, the proposed method can also handle the multimodal characteristic, which is inherently embedded in multi view facial expression recognition (FER) data. Hence, the proposed method is effectively more efficient for multi view FER problem. Experimental results show that the proposed method outperforms state of the art multi view learning based methods.
Critical Success Factors in Agile Software Development Projects: A Review

Business activities are rapidly changing now a days and there are increasingly complex requirements set on programming solutions. That puts traditional software development methods also called heavyweight behind and leads to the need for different approaches. Modern approach is called agile or lightweight. Dissertation will described the characteristics of some traditional and agile methodologies that are widely used in software development, strengths and weakness between the two opposing methodologies will be compared. We will also discuss the challenges associated with implementing agile processes in the software industry. This anecdotal evidence is rising regarding the effectiveness of agile methodologies in certain environments; but there have not been much collection and analysis of empirical evidence for agile projects in Indian environment.
Optimal power factor for optimally located and sized solar parking lots applying quantum annealing

Investigating optimal value of the power factor for the optimally allocated and sized solar parking lots of the plug in electric vehicles (PEVs) based on minimum total cost of the problem over the given planning period is the aim of this study. Covering a parking lot with photovoltaic (PV) panels can keep the PEVs cool, charge their batteries for free, and generate extra energy and deliver it to the grid. Moreover, the inverter installed in the charging station of a parking lot is capable of generating or absorbing reactive power by changing the operating mode of the inverter without any degradation of the PEV's battery. Therefore, the PEVs and the solar parking lots can be applied as the auxiliary sources of active and reactive powers by the local distribution company (DISCO) In this study, in order to achieve realistic results, the economic aspects and technical factors of the system, and also the behavioural model of the PEVs fleet are taken into consideration in the planning problem. Moreover, the stochastic nature of the PEVs behaviour and power of the installed PV panels are modelled in the problem. Herein, the planning problem is solved applying quantum annealing (QA)
Millimeter Wave MIMO With Lens Antenna Array: A New Path Division Multiplexing Paradigm
Venue: IEEE Transactions on Communications

Millimeter wave (mmWave) communication is a promising technology for future wireless systems, while one practical challenge is to achieve its large antenna gains with only limited radio frequency (RF) chains for cost effective implementation. To this end, we study in this paper a new lens antenna array enabled mmWave multiple input multiple output (MIMO) communication system. We first show that the array response of lens antenna arrays follows a "sinc" function, where the antenna element with the peak response is determined by the angle of arrival (AoA)/departure (AoD) of the received/transmitted signal. By exploiting this unique property along with the multi path sparsity of mmWave channels, we propose a novel low cost and capacity achieving spatial multiplexing scheme for both narrow band and wide band mmWave communications, termed path division multiplexing (PDM) where parallel data streams are transmitted over different propagation paths with simple per path processing. We further propose a simple path grouping technique with group based small scale MIMO processing to effectively mitigate the inter stream interference due to similar AoAs/AoDs. Numerical results are provided to compare the performance of the proposed mmWave lens MIMO against the conventional MIMO with uniform planar arrays (UPAs) and hybrid analog/digital processing. It is shown that the proposed design achieves significant throughput gains as well as complexity and cost reductions, thus leading to a promising new paradigm for mmWave MIMO communications.
Seeing through the metaphor: The OECD quality toolbox for early childhood

This paper explores the idea of metaphor as a persuasive device, using as an example a recent OECD publication purporting to be a quality toolbox for early childhood education and care. Leaving aside the problematic notion of quality, we argue that there is a serious problem with the idea of education as something that can be done with a toolbox, particularly in the formative stages of young children's education. We suggest that the OECD selection of the toolbox as a metaphor is a way of inserting international economic imperatives into local government education policy, in ways that the citizenry is not aware of. As with any metaphor for education, the selection highlights some aspects while hiding others, a concealment that can't be exposed by intensifying one's gaze without a change in perspective. To examine the extent of what remains hidden by the toolbox, we engage in creative play with some different metaphors for education, arguing that particular metaphors may serve to obfuscate rather than clarify, an artifice that is not acceptable from a body as influential and far reaching as the OECD.
Predicting the mesiodistal width of unerupted canine and premolars by using width of the permanent mandibular incisors and first molar in the Himachal population
Venue: Journal of the Indian Society of Pedodontics and Preventive Dentistry

The determination of tooth size to arch length discrepancy in mixed dentition requires an accurate prediction of mesiodistal width of unerupted permanent teeth. Presently available methods use only the mesiodistal width of mandibular incisors. Melgaco (2007) introduced a new method of estimating width of unerupted canine and premolars by using mesiodistal width of incisors and first permanent molar.  The aim of this study is to determine linear regression equation for estimating the widths of mandibular permanent canines and premolars using mesiodistal width of mandibular incisors and first molars in the Himachal population.  Dental casts of 250 subjects were selected from the Himachal population who had fully erupted mandibular permanent incisors, canine, premolar, and first molar. Actual mesiodistal width of all fully erupted teeth were measured with digital vernier caliper and the values obtained were subjected to statistical and regression analysis.  High values of correlation (0.957) were found while considering Melgaco's method.  From this study, it can be evaluated that Melgaco's method gives better prediction of unerupted permanent canines and premolars, and the equation Y 13.48 0.614X can be suggested for the present population.
Prediction of Mesiodistal Width of the Mandibular Permanent Canines and Premolars by Utilizing the Mesiodistal Width of Mandibular First Permanent Molars and Incisors

Prediction of mesiodistal (MD) width of unerupted permanent canines and premolars is an essential aspect of mixed dentition analysis. Several methods are used to predict tooth width. The best methods demonstrate high values of correlation and determination coeffi cients. In this study, we aimed to determine the linear regression equation that would predict the sum of the MD widths of mandibular permanent canines and premolars based on the sum of widths of the four mandibular permanent incisors and fi rst permanent molars.  The sample consisted of 100 dental casts, obtained from Indian patients (50 male, 50 female, age ranges from 13 to 18 years) MD widths were measured with an electronic digital caliper. Paired and unpaired t tests were used to determine measurement consistencies and the inter examiner calibration, respectively. Unpaired t test was also used to determine right/left side and sex differences. Paired t test was also used to compare the predicted and actual sum of width of mandibular permanent canines and premolars.  We found high values of correlation (r) and determination (r2) coeffi cients (i.e. r 0.746 and r2 0.557) On average, there was no difference between predicted and actual widths of the mandibular permanent canines and premolars, and the standard errors of estimation were 1.69, 1.48, and 1.69 mm for the males, females, and the total sample, respectively.  The proposed method showed good accuracy and was easy to use, but it must be tested for other population.
New prediction equations for the estimation of maxillary mandibular canine and premolar widths from mandibular incisors and mandibular first permanent molar widths: A digital model study
Venue: Korean journal of orthodontics

The primary aim of the study was to generate new prediction equations for the estimation of maxillary and mandibular canine and premolar widths based on mandibular incisors and first permanent molar widths.  A total of 2,340 calculations (768 based on the sum of mandibular incisor and first permanent molar widths, and 1,572 based on the maxillary and mandibular canine and premolar widths) were performed, and a digital stereomicroscope was used to derive the the digital models and measurements. Mesiodistal widths of maxillary and mandibular teeth were measured via scanned digital models.  There was a strong positive correlation between the estimation of maxillary (r 0.85994, r2 0.7395) and mandibular (r 0.8708, r2 0.7582) canine and premolar widths. The intraclass correlation coefficients were statistically significant, and the coefficients were in the strong correlation range, with an average of 0.9. Linear regression analysis was used to establish prediction equations. Prediction equations were developed to estimate maxillary arches based on Y 15.746 0.602 x sum of mandibular incisors and mandibular first permanent molar widths (sum of mandibular incisors [SMI] molars) Y 18.224 0.540 x (SMI molars) and Y 16.186 0.586 x (SMI molars) for both genders, and to estimate mandibular arches the parameters used were Y 16.391 0.564 x (SMI molars) Y 14.444 0.609 x (SMI molars) and Y 19.915 0.481 x (SMI molars)  These formulas will be helpful for orthodontic diagnosis and clinical treatment planning during the mixed dentition stage.