Miracle-dz/UniFAR-FTUs huggingface dataset:
Strained semiconductor clusters in sodalite

We have studied, by the ab initio Car-Parrinello molecular-dynamics approach, the structure and band gaps of III-V semiconductor clusters included in sodalite as a function of the cluster size up to full filling of the sodalite cage. This study allows us to address directly the role of quantum confinement. The minimum-energy structures present large deviations from bulklike tetrahedral coordination and are reminiscent of amorphous structures. In contrast to the quantum confinement picture, the energy gap grows for increasing cluster size. The shift of the gap is instead due to an effective tensile/compressive strain exerted by the cage on the cluster and is comparable to the variation of the bulk band gap under the effect of hydrostatic pressure. @S0163-1829~99! 12931-X#
The Impact of Psychopathy on the Family

Psychopathy is the amalgamation of personality disorder traits associated with criminal and other antisocial behavior. Although current theory postulates that psychopathic individuals do not form lasting bonds with others, this chapter provides ample evidence that psychopathic individuals are highly social and maintain ties over years. Psychopathic individuals have relationships with friends, co-workers, relatives, siblings, parents, romantic partners, and children. These relationships serve their social and material needs. This chapter presents all available studies to date on the friendship, filial, sibling, partnering, and parenting behavior of psychopathic individuals. The impact of psychopathic individuals on organizational and family functioning is also addressed.
Joint graph regularization based semantic analysis for cross-media retrieval: a systematic review

The large number of heterogeneous data are rapidly increasing in the internet and most data consist of audio, video, text and images. The searching of the required data from the large database is difficult and time taking process. The single media retrieval is used to get the needed data from the large dataset and it has the drawback, it can only retrieve the single media only. If the query is given as the text and acquired result are present in text. The users demand the cross-media retrieval for their queries and it is very consistent in providing the result. This helps the users to get more information regarding to their queries. Finding the similarities between the heterogeneous data is very complex. Many research is done on the cross-media retrieval with different methods and provide the different result. The aim is to analysis the different cross-media retrieval with the joint graph regularization (JGR) to understand the various technique. The most of researches are using the parameter of MAP, precision and recall for their research.
Environmental Accounting as a Cornerstone of Corporate Sustainability Reporting

The major objective of this paper is to stress a role of environmental accounting in developing management’s strategic initiatives in the field of environmental protection. The socially responsible behavior of a company implies undertaking various activities for prevention, removal and minimizing the harmful effects on the environment. Such a responsible strategic approach ultimately leads to numerous cost savings, improvement in profitability and reputation and finally enables corporate sustainable development. In order to achieve its goal, this research will be methodologically based on the qualitative approach of published articles' content analysis and the analysis of corporate practice in designing environmental accounting systems that allow better identification and control of costs and benefits related to environmental protection activities. Analysis of different accounting practices in producing financial and nonfinancial environmental information requires distinction between environmental financial and management accounting, given the fact that they create different types of information intended for internal and external users. Management needs such information for the purposes of identification and control of environmental protection costs, making decisions about the more efficient use of resources, projecting costs and benefits of further activities and attempts to increase company's value through a socially responsible behavior. The expected results of this research should confirm the premise that increased awareness of the need of environmental protection and achieving sustainable development motivates companies for more frequently producing obligatory and voluntary external and internal reports about their environmental activities. At the same time, environmental accounting is supporting these initiatives, but we expect that in future new tools will be developed that will improve the quality and scope of its informational offer, which may be the area of potential for further research
Context Aware Rain/Noise Removal Using PCA And Affinity Propagation Enhanced Sparse Coding

Image decomposition is an effective area for various image processing. Based on the sparse representation, the proposed framework, for reconstruction first learns an over-complete dictionary purposes from the high spatial frequency parts of the input image. An unsupervised clustering is performed on the observed dictionary atoms (and their corresponding reconstructed image versions) via affinity propagation to identify image-dependent components with similar context information. While applying the proposed method for the applications of image denoising, it will automatically determine the undesirable patterns (e.g., rain streaks or Gaussian noise) from the derived image components directly from the input image, therefore the necessary informations will be available from the input image.PCA and SVM is manily used to distinguish LF and HF part of the image. Different from prior image processing works with sparse representation, this method does not need to collect training image data in advance, nor do assume the image priors such as the relationship between input and output image dictionaries. This method is applicable for two denoising problems: single-image denoising with Gaussian noise and single-image rain removal. This method will shown to outperform state-of-the-art image denoising algorithms
Effects of rapid broadband trills on responses to song overlapping in nightingales

In communication, animals often use complex signals with different traits carrying different information. In the song of some songbirds, both trills and song overlapping signal arousal or the readiness to escalate a contest in male-male interactions, yet they also differ inherently from each other. Song overlapping is restricted to interactions and has a clear directive function as the songs are timed specifically to the songs of a counterpart. Trills, however, can be used without opponents actively singing and do not have such a directional character unless when combined with directed traits. This difference raises the question whether trills can enhance the agonistic function of song overlapping when being used simultaneously. Here, we exposed male nightingales (Luscinia megarhynchos) prior to pairing to overlapping playback treatments differing in the presence or absence of rapid broadband trills. Males responded differently to the two playback treatments suggesting that song overlapping and rapid broadband trills have some synergistic effects. Consequently, the separate or simultaneous use of trills and of song overlapping may allow males to adjust information encoded in their singing on a fine scale. Furthermore, males that remained unpaired throughout the breeding season responded differently to the playbacks than did subsequently paired males, emphasizing the implications of differences in territory defence behaviour on males subsequent pairing success.
Microbiological and Antimicrobial Profile of Pathogens Associated with Pediatric Urinary Tract Infection

Introduction: Urinary tract infections in the pediatric population are second only to respiratory tract infections. There is limited information on bacterial resistance to commonly used antibiotics or on the risk factors for increased resistance in these patients. Settings and Design: A retrospective study was carried out to evaluate the microbiological and antimicrobial profile of uropathogens isolated in between January 2011 and December 2011 from the pediatrics department, St John’s Medical College Hospital, a tertiary-care setting in Bangalore, India. Materials and Methods: Urine samples were collected by the mid-stream “clean catch” method and were tested microbiologically by standard procedures. Antibiotic susceptibility of the isolated pathogens was tested for commonly-used antibiotics by Kirby-Bauer technique according to CLIS guidelines. Results: Of 1254 samples tested, 357 (28.5%) showed significant growth and 229 (64.3%) were from children less than 5 years of age, more commonly in males. Escherichia coli (54.4%) was the leading uropathogen, resistant to cephalosporin (78%), fluroquinolones (76.8%) and sensitive to aminoglycoside antibiotics (72.6%). Klebsiella spp. was found to be highly resistant to many of the antimicrobials as compared to other gram negative bacilli. The incidence of Candida spp. was higher in pediatric intensive care unit (39%). Pediatric surgery unit had higher rates of isolation (42.7%) and Pseudomonas spp. , NFGNB and Enterococcus spp. were common. Conclusion: High level of antimicrobial resistance amongst the pathogens causing urinary tract infection observed in pediatric population. Escherichia coli and Klebsiella spp. Other gram negative bacilli are Proteus spp. , Enterobacter spp . , Pseudomonas aeruginosa and Acinetobacter spp [3]. Enterococcus spp. are most common among the Gram positive cocci. Increasing rates of isolation of Candida spp. could be a reflection of the increased use of antibiotics. UTI can be characterized by nonspecific symptoms, such as poor feeding, vomiting, irritability, jaundice (in newborns), fever alone or specific symptoms, such as dysuria, frequency, urgency, suprapubic discomfort, and flank pain in older children [2,4]. Congenital abnormalities of the kidneys, pelvi-ureteric junction obstruction, vesico-ureteric reflux, posterior urethral valve and neurogenic bladder are the usual risk factors associated with acquiring UTI and also for recurrent UTI. Appropriate treatment with antimicrobials would help prevent the occurrence of associated complications like renal scarring, hypertension and chronic renal failure [1]. Inappropriate and extensive use of antibiotics has lead to the development of multidrug resistance among the pathogens [4-9]. In the present study we report the microbiological and
Crude Oil Market Pricing Mechanism analysis and Simulation

This paper aims to estimate chaos characteristics of different time in oil market and to forecast price of oil in short term. Method of Lyapunov exponent estimating and V-Statistics were utilized to estimate chaos degree and non-period cycle length, and an oil market model developed by the author was also utilized to simulate mechanism of oil price pricing process. The result shows that during the past 27 years, chaos characteristics had been reduced in oil market, but the price series enhanced its trend than before. In the case of simulation and forecasting, result shows that the oil market model can simulate the pricing process exactly. So the oil market model can be utilized to simulate the market pricing process, and forecast the price for decision making.
Smart Suit® Lite: KEIROKA TechnologyPaper Title

We are developing a passive power assist supporter called Smart Suit Lite. Smart Suit Lite is a compact and lightweight power assist device that utilizes the elastic force of elastic belts. To design the Smart Suit Lite, we developed a motion-based assist method and an extended musculoskeletal model. The motion-based assist method was used to design the arrangements and properties of the elastic belts by utilizing the relation between the target motions and the corresponding muscle forces. To analyze the assistive forces provided by the elastic belts, skin segments that represent the surface of the human body features the extended musculoskeletal model and can reproduce changes in length of the body surface with changes in posture. In this study, we used the developed method to produce the Smart Suit Lite for care workers. Furthermore, through the "trial experiment" in this experiment, we found that wear comfort was strongly correlated with the assistance perceived by the user. Thus, we have improved the Smart Suit Lite from the aspect of wear comfort and verified the enhancement of the assistance provided by the device. In user testing, 90% of the participants reported a decrease in load on the low back during care work. Keywords-Power Assist; Iomechanics; Human Body Dynamics Mode; KEIROKA Technology; Smart Suit Lite.
NEUROSCIENCE, PSYCHOLOGY AND THE TEACHING OF VOCABULARY

The field of cognitive neuroscience has advanced to the stage where inferencesωn be made as to how vocabulary knowledge is stored in semantic networks in the brain. 百1Ís paper is a demonstration of how research企om the fields of psychology and cognitive neurosCÍence can be applied to language teaching pedagogy and in particular, vocabulary. 脳の中のセマンティックネットワークに、 語録知識がどのように蓄えられていくのかが、 認知神経科学の分 野において推測出来るようになった。 この論文では認知神経科学や心理学の研究成果を語学教育、 特に語舞
An investigation into the effect of thickness of titanium dioxide and gold–silver nanoparticle titanium dioxide composite thin-films on photocatalytic activity and photo-induced oxygen production in a sacrificial system

Thin films of titanium dioxide and titanium dioxide with incorporated gold and silver nanoparticles were deposited onto glass microscope slides, steel and titanium foil coupons by two sol–gel dip-coating methods. The film's photocatalytic activity and ability to evolve oxygen in a sacrificial solution were assessed. It was found that photocatalytic activity increased with film thickness (from 50 to 500 nm thick samples) for the photocatalytic degradation of methylene blue in solution and resazurin redox dye in an intelligent ink dye deposited on the surface. Contrastingly, an optimum film thickness of ∼200 nm for both composite and pure films of titanium dioxide was found for water oxidation, using persulfate (S2O82−) as a sacrificial electron acceptor. The nanoparticle composite films showed significantly higher activity in oxygen evolution studies compared with plain TiO2 films.
46 GEOMETRY OF NANOPARTICLES AS A DETERMINANT OF THEIR CYTOTOXICITY

At present time one of priorities of occupational health researches is nanotoxicology. The study of toxicity of nanoparticles, comprised of various elements, is of great importance due to: (1) a large number of workers, which contact professionally with nanomaterials; (2) a permanent growing of nanotechnology products, their wide spreading among consumers and possible adverse effects on human health and the environment. There is a need to carry out an efficient toxicological risk assessment, associated with various non-tested nanoparticles and their variations in size, composition, shape, etc [3, 6]. Nanotoxicology studies an interaction between nanostructures and biological systems, aiming to reveal a correlation between a nanoparticle physical and chemical properties (such as size, shape, surface characteristics, composition, and aggregation degree) and a toxic response of biological structures. So, a nanosystem toxicity includes physiological, physicochemical and molecular aspects. It is known, that nanoparticles can penetrate into the body through hematoencephalic barrier, skin, respiratory tract as well as through gastrointestinal tract, characterized by a long half-life, accumulation in the bone marrow, central and peripheral nervous systems, organs of alimentary tract, lungs, liver, kidneys, and lymph nodes [9]. A problem of the so-called nanotoxicity is of special attention, because toxicity of nanoparticles cannot be determined through simple transfer of the known toxicological data to nanoscales. It is known that physicochemical properties of nanoparticles cause formation of a pro-oxidative medium in cells, causing instability of the energy system, and, as a result, nanoparticles induce adverse biological effects from inflammation initiation to cell death [5]. In turn, the toxicity of metal nanoparticles relates directly on their physicochemical properties, i.e. on the size and, respectively, on the free surface area, which stipulates high chemical activity of the particle and its high ability to penetrate into the body. Thus, the smaller is the particle size, the bigger is the surface area and degree of toxicity of the material. In particular, in nanoand macroparticles of the same composition the number of physicochemical properties differs significantly. For instance, considerable decrease of the melting temperature is observed in nanoparticles of many УДК 546.57-168:612.04. 46
Rational Food Fortification Programs to Alleviate Micronutrient Deficiencies

Key presentations of severe malnutrition or undernutrition caused by macronutrient deficiencies are marasmus, a disease causing stunting; wasting; underweight or kwashiorkor; or a combination of these. Micronutrient insufficiencies cause a variety of disorders, and correction of these deficiencies on an individual basis is costprohibitive. Therefore, food fortification is an accepted, practical and affordable solution to overcome this problem. The cost of adding vitamins and minerals to commonly consumed foods is very low; estimated to range between 0.5% and 2.0% of the cost of a typical staple food. For formulations that include Vitamin A and D, iron, zinc, and folic acid, the cost is approximately US $8 to $10 per metric ton. If an individual consumes 100 g/day (37 kg/year) of the final product, the cost of fortification is approximately US $0.40 per person/year; a cost that is affordable to industry and consumers. For more complex formulations, such as the World Food Program’s (WFP) Corn Soy Blend, the cost increases to US $1.0 per person per year. The WFP estimates a minimum normal “food basket” cost of approximately US $0.25 per person/day or US $92 per year. Thus, the cost of adding micronutrients is approximately 0.6% of the food in the basic food basket or, at the higher end, about 1% of added cost. Nevertheless, the outcomes of alleviating micronutrient deficiencies, decreasing the disease burden, and the cost-effectiveness are exceptional. Especially the poor, who live in developing countries, would get the most benefit. In addition to enhancing the production of healthy food and assuring its wide availability and affordability, the food industry should constantly develop healthful, nutritious foods using innovative technologies and market these products to consumers at affordable prices. Cost-effective and practical micronutrient food-fortification programs should designed to add micronutrients to common staple foods, such as flour or parboiled rice, depending on the cultural and food habits of individuals in a given country.
Cancer Cure: Handle Gently (New Hopes for Patients and Responsibilities of Scientists)

Cancer is one of the leading causes of morbidity and mortality worldwide. Many patients succumbed to the disease despite best efforts from medical and surgical oncologists. This is because of several challenges like treatment resistance, genetic heterogeneity of tumor cells and high cost of new therapies. It is clear from the recent research that to overcome cancer, a gentler approach is necessary. This approach include controlling inflammatory processes, discovering compounds which can offer minimum resistance from cancer cells, targeting therapy where it is actually needed and increase strength of the patient’s body by non-drug ways like exercise and modulating gut microflora. Scientists can help the patients more directly by devising more clinical level studies and publishing results as much as possible, even negative ones (like failure of a novel drug to treat cancer), to avoid loss of precious time and money. A coordinated effort from clinicians, patients and scientists planning studies at clinical level and publication of data, even negative ones can help defeat cancer, even at advanced metastatic stage IV stage.
Using sparse kernels to design computer experiments with tunable precision

Statistical methods to design computer experiments usually rely on a Gaussian process (GP) surrogate model, and typically aim at selecting design points (combinations of algorithmic and model parameters) that minimize the average prediction variance, or maximize the prediction accuracy for the hyperparameters of the GP surrogate. In many applications, experiments have a tunable precision, in the sense that one software parameter controls the tradeoff between accuracy and computing time (e.g., mesh size in FEM simulations or number of Monte-Carlo samples). We formulate the problem of allocating a budget of computing time over a finite set of candidate points for the goals mentioned above. This is a continuous optimization problem, which is moreover convex whenever the tradeoff function accuracy vs. computing time is concave. On the other hand, using non-concave weight functions can help to identify sparse designs. In addition, using sparse kernel approximations drastically reduce the cost per iteration of the multiplicative weights updates that can be used to solve this problem.
The impact of the minimum wage on Spanish youth: Evidence from a natural experiment

This work assesses the impact of the minimum wage on youth employment, unemployment and education enrolment in Spain. Using a difference-in-differences approach, we take advantage of the fact that the minimum wage for people aged 16 and 17 years old, which was approximately two thirds the level of the standard minimum wage, was raised to reach full convergence with the latter in a period of three years (from 1995 to 1998). The empirical analysis suggests that this policy intervention depressed the employment levels of the affected group, raised unemployment among them and decreased the probability of remaining in formal education.