Miracle-dz/UniFAR-FTUs huggingface dataset:
A diagnostic tool to evaluate the proactivity levels of risk-Reporting activities by the workforce

Prevention of occupational injuries is an important task of Human Resource Management. Empiric research showed that risk perception, safety communication and worker's participation in safety programs may have a relevant role in reducing accident and injury occurrence - see for example (Conchie, 2013). These considerations lead us to this study to propose a new methodology which consists in an index aimed to assess the proactivity of worker participation in safety management systems. The innovation consists in defining a diagnostic measurement model to assess the degree of workforce proactivity, considering a specific kind of participatory contribute by workers for safety promotion in the workplace, like the spontaneous risk-reporting initiatives. The measurement tool has been defined and tested by an interdisciplinary team composed of four university researchers (human factor experts) and two site safety managers of a chemical site which is chosen with the purpose to apply for the first time the new tool. Preliminary results show that different levels of proactivity were adopted and that the highest levels of proactivity are relatively less frequent. The tool offers relevant diagnostic information for the industrial organizations which aim to achieve higher level of proactivity in risk management, offering practical indications for managerial interventions focused on stimulating and improving appropriate participation by the workforce. © Copyright 2014, AIDIC Servizi S.r. l.
Non- invasive technique using breath analysis for detection and classification of diabetes

Diabetes, a metabolic disease that is characterized by high glucose level in the blood, is a major problem affecting millions of people today. This disease if left unchecked can create enormous implication on the health of the population. Among the various non-invasive methods of detection, breath analysis presents an easier, more accurate and viable method in providing comprehensive clinical care for the disease. This paper examines the concentration of acetone levels in breath for monitoring blood-glucose levels and thus predicting diabetes. The analysis uses the support vector mechanism to classify the response to healthy and diabetic samples. For the analysis, ten subject samples of acetone levels are taken into consideration and are classified according to three labels, which are healthy, type one diabetic and type two diabetic.
Altered piRNA Profiles in Bladder Cancer: A New Challenge in the Next- Generation Sequencing Era?

The low diagnostic sensitivity of cytology for detecting low-grade bladder tumors as well as the inconvenience for patients and the costs of cystoscopy for diagnosis and follow-up monitoring have provided a strong boost for the research and development of numerous noninvasive urine-based tests [5]. In this respect, among the 21st century new challenges in BC research, the European Association of Urology (EAU) has listed the following hurdles to be fronted: 1) new screening strategies for the population at risk of developing BC; 2) the prioritized evaluation of patients with suspicious symptoms for BC; 3) the implementation of BC patients surveillance to reduce the number of cystoscopies to be undertaken [6].
Direct volumetry versus cylindrical approximation to assess left atrial volumetric changes before and after catheter ablation for atrial fibrillation using ECG-gated MDCT

Poster: "ECR 2011 / C-1812 / Direct volumetry versus cylindrical approximation to assess left atrial volumetric changes before and after catheter ablation for atrial fibrillation using ECG-gated MDCT" by: "S. Yoshida, K. Takase, S. kakiuchi, M. Tsuda, K. Seiji, K. fukuda, Y. wakayama, H. shimokawa, S. Takahashi; Sendai/JP"
Minimization of Risk in Extraction of Peripheral Hydrocarbons: Delineation of Pinchouts in Basin Margin from Bouguer Gravity Data

Summary After discovery of structural traps mostly by seismic method, oil industries are looking for strategraphic traps, pinchouts in particular, at the margin of a basin. A sand body thinning out at the periphery of an oil field generally carries hydrocarbons in it and it evades detection by seismic when it is less than 10 m in thickness. This creates a seismically dark zone in the basin margin inviting uncertainty in choice of location of drilling. This in turn leads to a financial risk in extraction of the peripheral hydrocarbons in a basin. In this paper an attempt is made for delineation of a pinchout by isolation of its partial residual gravity response. It is achieved by successive removal of low frequency components from Bouguer gravity data in an iterative scheme. The computed gradients of the residual ensure its isolation by exhibiting a similar set of gravity and gravity-gradient signatures at the same location, as the process of separation continues, the gradients defining the terminating edge of the pinchout. The subsurface feature is then identified by simultaneous consideration of the partial residual and its gradients and depth to it i s obtained by down continuation of the horizontal gradient along a vertical passing through it. The technique is applied to the field data of Ankleshwar and Mansa area of Cambay basin, Gujarat. The pinchouts identified along Ankleshwar –Kosamba in Ankleshwar and those along a EW line in Mansa, agree closely with the drilled data.
Why Bother with What Others Tell You?

This paper investigates the relevance of reputation to improve the explorative capabilities of agents in uncertain environments. We have presented a laboratory experiment where sixty-four subjects were asked to take iterated economic investment decisions. An agent-based model based on their behavioural patterns replicated the experiment exactly. Exploring this experimentally grounded model, we studied the effects of various reputational mechanisms on explorative capabilities at a systemic level. The results showed that reputation mechanisms increase the agents' capability for coping with uncertain environments more than individualistic atomistic exploration strategies, although the former does entail a certain amount of false information inside the system.
Hydrothermal Stability of Mesoporous SBA-15 Modified with Alumina and Titania

Hydrothermal stability of alumina or titania modified SBA-15 was studied. Al2O3 and TiO2 were introduced into the SBA-15 structures either by post-synthetic deposition or isomorphous substitution. Appropriate isopropoxides were applied as the reagents for modifications. In all cases surface area and pore volume on non-modified SBA-15 decreased significantly after hydrothermal treatment. Surface decreased by more than 60% after 2 hs at 975 K. Stabilization effect was found only after introduction of titanium and aluminum ions via sol-gel technique. Here, the decrease of surface area was only 20% of the initial one. Independently from the stabilization effect of the SBA-15 structure the creation of surface acidity was also possible. In contrast, the stabilization effect after isomorphous substitution was negligible. All samples were studied with XRD, TEM, nitrogen sorption at 77 K, TPD of ammonia. Hydrothermal stability was tested under water vapour at temperatures up to 975 K.
Path Coefficient Analysis for Water Use Efficiency, Evapo-transpiration Efficiency and Some Yield Related Traits in Wheat

Correlation and path-coefficient were computed on 10 bread wheat genotypes for plant height, flag leaf area, grains per spike, 100-grain weight, total dry matter of above ground material, total water used, evapo-transpiration efficiency, harvest index, water use efficiency and grain yield per plant. Highly significant differences were observed among the varieties/advanced lines for all the traits except water use efficiency, which was only significant. Grain yield was positively and significantly correlated with total dry matter, evapo-transpiration efficiency, harvest index and water use efficiency but non-significantly with plant height, flag leaf area, grains per spike, 100-grain weight and total water used. Maximum and positive direct effect (1.2956) was produced by water use efficiency and followed by total dry matter (1.286). While minimum negative direct effect was produced by 100-grain weight (-0.7902). Plant height, flag leaf area, 100-grain weight, total water used, evapo-transpiration efficiency and water use efficiency produced maximum positive indirect effects of 0.5313, 0.3390, 0.6495, 0.6985, 0.7382 and 0.4079 on grain yield through total dry matter, respectively. The traits having positive direct effects on grain yield, considered to be a suitable selection criteria for evolving high yielding genotypes. While in case of negative direct effects on grain yield, indirect selection criteria could be practiced through traits with positive indirect effects.
External factors and the interference of L1 Estonian on L2 English pronunciation: An apparent-time study

DOI: http://dx.doi. org/10.5128/ERYa11.02 This study focusses on external factors of second language learning (L2) and their effect on L2 sound production. The aim was to find out whether young adults whose first language (L1) is Estonian speak L2 English with less accent than older speakers of L1 Estonian. Prior studies have claimed that more exposure to the target language lessens the effect of L1 interference (internal factors) (e.g. Piske et al. 2001, Munoz, Llanes 2014). An apparent-time study was imple- mented in order to test whether a change in learner setting (i.e. limited exposure to the target language vs. abundant exposure) shows any evidence which can be explained by such external factors. Data was elicited from the speech samples of 97 speakers of L1 Estonian and L1 interference effects were analysed sound by sound. The results show that the younger generation displays less L1 Estonian interference than the older generation. Both greater exposure to the target language and earlier age of L2 learning onset correlate with the ability to produce more sounds target-like.
Morse–Bott functions and the Witten Laplacian

Suppose g is a metric on N, associated to a Morse-Bott function h. Suppose M is the critical manifold of h. The main result of the paper states that as a oo the eigenvalues of L(a), which stay bounded, converge to eigenvalues of the Laplacian /:;;. on M, twisted by the orientation bundle of the negative directions in the normal bundle to M in N. All the eigenvalues of /:;;. are limits of the eigenvalues of L(a). The paper provides the estimates on the rate of convergence as aoo of the bounded eigenvalues of L(a). The main idea of the proof is to use the adiabatic limit technique of Mazzeo-Melrose and Forman to analyze the spectrum of the Witten Laplacian on the tubular neighborhood of M . As an application a new Hodge theoretic proof of the Thom isomorphism and of the degenerate inequalities of Morse is given.
A sEMG-driven Musculoskeletal Model to Control Exoskeleton Robot Used in Lower Extremity Rehabilitation

A control system framework of lower extremity rehabilitation exoskeleton robot is presented. It is based on the Neuro-Musculo-Skeletal biological model. Its core composition module, the motion intent parser part, mainly comprises of three distinct parts. The first part is signal acquisition of surface electromyography (sEMG) that is the summation of motor unit action potential (MUAP) starting from central nervous system (CNS). sEMG can be used to decode action intent of operator to make the patient actively participate in specific training . As another composition part, a muscle dynamics model that is comprised of activation and contraction dynamic model is developed. It is mainly used to calculate muscle force. The last part is the skeletal dynamic model that is simplified as a linked segment mechanics. Combined with muscle dynamic model, the joint torque exerted by internal muscles can be exported, which can be used to do a exoskeleton controller design. The developed control framework can make exoskeleton offer assistance to operators during rehabilitation by guiding motions on correct training rehabilitation trajectories, or give force support to be able to perform certain motions. Though the presentation is orientated towards the lower extremity exoskeleton, it is generic and can be applied to almost any part of the human body.
Brief communication: Getting Greenland's glaciers right - a new data set of all official Greenlandic glacier names

Abstract. Place names in Greenland can be difficult to get right, as they are a mix of Greenlandic, Danish, and other foreign languages. In addition, orthographies have changed over time. With this new data set, we give the researcher working with Greenlandic glaciers the proper tool to find the correct name for glaciers and ice caps in Greenland and to locate glaciers described in the historic literature with the old Greenlandic orthography. The data set contains information on the names of 733 glaciers, 285 originating from the Greenland Ice Sheet (GrIS) and 448 from local glaciers and ice caps (LGICs).
Blue-Emitting CsPbBr3 Perovskite Quantum Rods and Their Wide-Area 2D Self-Assembly

A self-digestive process leading to strong blue-emitting nearly monodisperse CsPbBr3 quantum rods in wide-area 2D self-assembly is reported. These are facilitated by aging the presynthesized ultrathin CsPbBr3 nanowires dispersed in appropriate solvent. The time frame was unusual, and the reaction continued for 3–5 days to observe such intriguing patterns. Interfering species such as unreacted precursors, amines, or acids were intentionally minimized with repeated purification for triggering this self-digestive process, which led to the quantum-confined nanorods. Carrying out this reaction in different solvents and in the presence of various additives, the reaction mechanism for such a slow process is established. These nanorods and their large-area self-assembly remained unique in perovskite nanostructures, and the chemistry of the slow process also provided new fundamental insights of the crystallization process of nanorods and their self-assembly.
Teachers’ Professional Knowledge: The case of Variability

In this research, we explore teachers’ statistical knowledge in relation with variability. Several high school mathematics teachers were presented with situations describing how students dealt with tasks based on the concept of variability. The teachers’ responses primarily helped us to analyze their comprehension and practices associated with the concept of variability and also to gain insight on how to teach this concept. Secondly, the study shows that students and high school teachers share the same conceptions on this subject.
Shu-Te University College of Management Graduate School of Business and Administration Master Employee’s job satisfaction at joint stock commercial bank for foreign trade of Vietnam, Hai Duong branch

Creating job satisfaction for employees is very important to organizations. Although there have been a number of studies on job satisfaction in Vietnam, but the study in the banking sector is still very limited. Thus, this study was carried out with the purpose of exploring, testing the effects of the work factors on job satisfaction of employees at Vietcombank Hai Duong branch. The model was built on the adjusted JDI, which includes five factors: the work itself, opportunities for promotion and training, supervision, co-workers and pay. Analytical techniques used were multivariate statistical analysis such as by Cronbach’s Alpha, factor analysis regression, and ANOVA. Results from the analysis of 152 valid questionnaires showed that two factors are statistically significant: opportunities for promotion and training, and pay. Other factors have no statistical significance. The study also showed no difference in the level of job satisfaction according to demographic classifications. The study also gives implication, limitations and directions for future similar researches.
Ecological peculiarities of natural populations of hyperhalobe microalga Dunaliella salina Teod. in solar salt work ponds of the South of Ukraine and Russia

The paper presents the results of expedition research of some solar salt works of the South of Ukraine (Kherson region, AR Crimea) and lake Baskunchak (Astrachan region, Russia), as well as stationary observations on populations of the microalga Dunaliella salina Teod. in the ponds of Heroyske salt works (Gola Prystan’ district, Kherson region) that we carried out in 2005–2008. We discuss the approaches to modeling natural environment in D. salina laboratory culture to develop and optimize the process of industrial culturing in the open culture.
Comparative Analysis of Synthetic Natural Gas versus Hydrogen Production from Bagasse

A rigorous and comparative evaluation of two biomass-to-gases (BtG) conversion routes was performed and, according to this outcome, it is suggested which of the options evaluated is most desirable. These options, the hydrogen and synthetic natural gas (SNG) production, were designed in Aspen Plus process simulation software. Sugar cane bagasse was considered as feedstock. Mass and energy balance data were extracted from the simulations, and consequently thermodynamic (exergy analysis), economic (financial and uncertainty analysis), and environmental (CO2 emissions) evaluations were carried out. Exergy and environmental analysis favor the SNG production while the hydrogen route provides higher profits.
NUMERICAL APPROACHES TO NEW PARTICLE FORMATION AND GROWTH IN THE ATMOSPHERE

Aerosols impact the planet and our daily lives through various effects, perhaps most notably those related to their climatic and health-related consequences. While there are several primary particle sources, secondary new particle formation from precursor vapors is also known to be a frequent, global phenomenon. Nevertheless, the formation mechanism of new particles, as well as the vapors participating in the process, remain a mystery. This thesis consists of studies on new particle formation specifically from the point of view of numerical modeling. A dependence of formation rate of 3 nm particles on the sulphuric acid concentration to the power of 1–2 has been observed. This suggests nucleation mechanism to be of first or second order with respect to the sulphuric acid concentration, in other words the mechanisms based on activation or kinetic collision of clusters. However, model studies have had difficulties in replicating the small exponents observed in nature. The work done in this thesis indicates that the exponents may be lowered by the participation of a co-condensing (and potentially nucleating) low-volatility organic vapor, or by increasing the assumed size of the critical clusters. On the other hand, the presented new and more accurate method for determining the exponent indicates high diurnal variability. Additionally, these studies included several semi-empirical nucleation rate parameterizations as well as a detailed investigation of the analysis used to determine the apparent particle formation rate. Due to their high proportion of the earth’s surface area, oceans could potentially prove to be climatically significant sources of secondary particles. In the lack of marine observation data, new particle formation events in a coastal region were parameterized and studied. Since the formation mechanism is believed to be similar, the new parameterization was applied in a marine scenario. The work showed that marine CCN production is feasible in the presence of additional vapors contributing to particle growth. Finally, a new method to estimate concentrations of condensing organics was developed. The algorithm utilizes a Markov chain Monte Carlo method to determine the required combination of vapor concentrations by comparing a measured particle size distribution with one from an aerosol dynamics process model. The evaluation indicated excellent agreement against model data, and initial results with field data appear sound as well.
Modelling the spatial dynamics of ground beetles (Carabidae) within landscapes

A generalised matrix model for analysing the spatial dynamics of ground beetle populations in landscape is described. The model links simple population dynamics models for stage structured populations and their spatial distributions. The model assumes that individual populations have their own internal dynamics, but interact with each other through the dispersal of animals between them.The model consists of three components. i) age structured models describing dynamics of individual populations, ii) functional relationships linking life history characteristics to the underlying environments, and iii) a spatial process model linking populations in space.The utility of the model is assessed by analysis of the dynamics and spread of Leistus rufomarginatus through the United Kingdom over the last 30 years: the model was reasonably accurate in predicting the geographical spread of this species. Whilst the model provides only a general framework, and does not incorporate all biotic processes (e.g. inter-specific competition) it could readily be modified to model the distribution and spread of many other invertebrate species. variables have been identified the spatial distribution of these can be used to predict the distribution of organisms in other landscapes. The commonest associative techniques have been based on regression. Other approaches have been based on the use of ecological hierarchies. A matrix model was developed by Rushton (1992) which linked associations of species to the habitats in which they were found and this was used to predict the distribution of
To adopt or not to adopt: the case of advanced thermoplastic composites in the automotive industry

This thesis aims to provide a study on the constraints of technology adoption in the automotive sector, with a focus on a material substitution. The accompanying research topics are adoption and innovation theories, theory of competitive strategy, and the role of organizational buyers. The case of this thesis is the adoption of Advanced Thermoplastic Composites in the automotive industry. The research objective is stated as following: finding out which factors could speed up the adoption process of advanced thermoplastic composites in automotive applications.
Consumer Responses to Femvertising: A Data-Mining Case of Dove’s “Campaign for Real Beauty” on YouTube

Adopting a combination of qualitative textual analysis, human-based content analysis, and machine learning–based data mining, we propose a procedure to analyze user-generated content (UGC) on social media using Dove’s “Campaign for Real Beauty” as a case for demonstration. We provide a guideline to explicate all six steps of the analysis procedure: topic identification through qualitative textual analysis, generation of labeled data through human coding, data preprocessing, evaluation of machine learning–based classifiers, topic classification of unlabeled data, and conducting research. The study has important methodological implications for advertising scholars and practitioners.
Benefit-Cost Analysis of Environmental Projects: A Plethora of Systematic Biases

There are many reasons to suspect that benefit-cost analysis applied to environmental policies will result in policy decisions that will reject those environmental policies. The important question, of course, is whether those rejections are based on proper science. The present paper explores sources of bias in the methods used to evaluate environmental policy in the United States, although most of the arguments translate immediately to decision-making in other countries. There are some “big picture” considerations that have gone unrecognized, and there are numerous more minor, yet cumulatively important, technical details that point to potentially large biases against acceptance on benefit-cost grounds of environmental policies that have true marginal benefits greater than true marginal costs, both in net present value terms. It is hoped that the issues raised here will improve future conduct of benefit-cost analyses of environmental policies.