Miracle-dz/UniFAR-FTUs huggingface dataset:
Market Orientation of New Product Development: Assessment of the Impact of Innovative Climate and Culture on Customer Needs in China

The competition in the worldwide business environment is quite high. The major challenge faced by companies in satisfying the needs of their customers is keeping up with the constant changes in the business arena. Innovation is key to gaining customer loyalty, but is a difficult task in the industry considering how quickly industry trends change. The purpose of this study is to investigate the impacts of this climate and culture of constant innovation on customer needs. The assessment involved the application of two aspects or measures of client needs, namely customer acceptance and loyalty, mainly through the relationship between innovation and brand loyalty. The hypothesis was formed after an extensive literature review and the use of a questionnaire to gather data from 85 respondents. In order to make those responses meaningful data, the questionnaires were then subjected to a simple linear regression. The results of the study show a positive relationship between an innovative climate and culture, and customer needs, satisfaction, and brand loyalty in China. That also indicated a significant association between customers’ needs satisfaction and brand loyalty. This study is unique, however, in the sense that it only investigates students as the users of the Chinese mobile market. Therefore, this study provides specific information on a particular demographic within the mobile phone industry.
Client perceptions of therapeutic factors in the Myers-Briggs type indicator (MBTI) as a therapeutic intervention : an exploratory study

This study explored participants' experiences of engagement with the collaborative group interpretation of the Myers-Briggs Type Indicator (MBTI). It adapts the collaborative model described by Newman and Greenway (1997) in their study using Minnesota Multiphasic Personality Inventory-2 results. Participants were 12 adults recruited from the general population in a large urban centre who were interested in obtaining MBTI results. A l l participants simultaneously completed the collaborative group administration and interpretation of the MBTI in a four-hour session and immediately completed a self-report questionnaire. Five weeks after the interpretation session three participants completed follow-up interviews, and field notes summarizing my observations as the primary researcher and facilitator were made throughout. Data were analyzed via constant comparative analysis and interpreted through a constructivist lens. Participants all indicated an engaging experience that was both meaningful and useful. Participants described four characteristics attributed to the MBTI that facilitated their experiences of engagement: (a) It validated participants' self-perceptions, experiences, and the different preferences of others; (b) it provided a framework and vocabulary for exploring individual differences; (c) it explicitly allows for both individual variability and change over time; and (d) it is accessible and readily transferable to lived experience. Participants also described the collaborative group interpretation process as a significant contributor to their experiences of engagement. Overall, the findings support the efficacy of the MBTI as a therapeutic intervention. Client Perceptions of Therapeutic Factors in the MBTI
Analysis of alfalfa leafcutter bee (Megachile rotundata) provisions pre-and post-sterilization with propylene oxide

Cette etude evalue l'efficacite de l'oxyde de propylene pour steriliser les provisions de la megachile de la luzerne (Megachile rotun-data), compare les caracteres physicochimiques des provisions traitees et non traitees et determine l'action des provisions sterilisees ou non et des provisions artificielles sur le developpement larvaire et la sensibilite a Ascosphaera aggregata, agent du couvain plâtre. L'oxyde de propylene a d'abord ete teste a differentes concentrations (0,1;0,6 et 1,2% (V/V) pendant 24 h) et a differentes durees d'exposition (0,6 et 12 h a 0,6%)
D UP L OG : Probabilistic Logical Interpretation of Duplo Assemblies from 3 D Vision

Composite real world objects can be logically explained by their components and their relations. Knowing and expressing the logical relations between the components can facilitate 3D object recognition employing semantic information. We present DUPLOG, a novel method for 3D model acquisition of Duplo block assemblies from video. It acquires percepts trough a Kinect camera and translates these inputs into a structured representation through octrees and logical constraints. The high-level, declarative (logical) constraints are represented in a probabilistic logic and provide a new principled way for 3D object recognition. We show that our system is efficient and effective in the interpretation of arbitrary Duplo buildings.
MicroRNA Expression in Different Sybtypes of Breast Cancer

Summary Introduction. MicroRNAs are a class of small, non-coding RNA molecules able to regulate gene expression at the post-transcriptional level through binding to the 3’-UTR of the targeted mRNA, thus suppressing translation of the mRNA. In various diseases, including malignancies, expression of microRNAs is altered. Moreover, the altered expression of the microRNAs correlates with clinical and pathophysiological features of cancer thus making them good candidates for prognostic/predictive markers. Aim of the study. The aim of this study was to determine expression level of five different microRNAs (miR-10b, miR-21, miR-29a, miR-31, and miR-214) in breast cancer tissues and to look for the differences in microRNA expression between distinct subtypes of breast cancer. Material and methods. Forty five breast cancer and corresponding resection line tissues (control tissues) were studied. Breast cancer tissues were classified into the subtypes of triple-negative (23), luminal-A (13), luminal-B (7), and HER2+ (2). Quantitative analysis of miR-10b, miR-21, miR-29a, miR-31, and miR-214 was performed by real-time PCR. The expression levels of microRNAs were normalized by the expression of the reference gene RNU6B. The event-free survival in regard of high and low expression levels of microRNAs were analyzed by Log-rank (Mantel Cox) and Gehan-Breslow-Wilcoxon tests. Results. Expression levels of four microRNAs (miR-21, miR-29a, miR-31, and miR-214) were significantly higher in cancer tissues than in corresponding resection line tissues. Breast cancer patients with low expression level of miR-21 showed a trend of better event-free survival than breast cancer patients with high expression level of miR-21; however, this trend did not reach statistical significance. In triple-negative tumor tissues, miR-21, miR-29a, and miR-31 showed significantly higher expression level than in luminal-A tumor tissues. Expression levels of miR-21 and miR-29a were significantly higher in triple-negative tumor tissues than in luminal-B tumor tissues. Conclusions. Breast cancer patients with high expression level of miR-21 in tumor tissues show a trend of worse event-free survival, though; this trend did not reach statistical significance. Different microRNA expression in distinct subtypes of breast cancer points to the genetic heterogeneity of breast cancer, different regulatory targets and signaling pathways
Continuous Disclosure Requirements and the Investor Distraction Hypothesis

The magnitude of the short term market reaction to news announcements is adversely affected by the total number of announcements that day. We argue that the total number of announcements creates a level of distraction that results in a significant underreaction on high distraction days. The relative order in which announcements are released during the day also plays a role in the market reaction. The delay in the market reaction is not caused by either additional information releases by the company or by analyst recommendation revisions. Our results emphasize the importance of actions taken in the Australian market to reduce the impact of investor distraction that could be emulated in other markets, such as labeling certain announcements as market sensitive and using trading halts to attract investor attention.
LEARNING TO FORECAST AND CYCLICAL BEHAVIOR OF OUTPUT AND INFLATION

This paper considers a sticky price model with a cash-in-advance constraint where agents forecast inflation rates with the help of econometric models. Agents use least-squares learning to estimate two competing models of which one is consistent with rational expectations once learning is complete. When past performance governs the choice of forecast model, agents may prefer to use the inconsistent forecast model, which generates an equilibrium where forecasts are only constrained rational. Output and inflation then display persistence, inflation responds sluggishly to nominal disturbances, and the dynamic correlations of output and inflation match U.S. data surprisingly well. The rational expectations equilibrium instead has great difficulty in matching any of these features.
Surface deformation detected by the space-observed small baseline SAR interferometry over permafrost environment in Tibet Plateau, China

Abstract. The evolution of permafrost and the active layer is highly related to climate change because of its feedback effects involving water and carbon storage. In this study, we firstly examined the relationship of regional water balance, geomorphological process and anthropogenic activities by means of Small Baseline Synthetic Aperture Radar Interferometry (SB-InSAR) to monitor the surface movements overlaid on the permafrost of Tibet Plateau (TP), China, using 3.5-yr observation span of L-band ALOS PALSAR data (June, 2007 to December, 2010). The estimated displacements (primarily in the range of −30 mm yr−1 to 30 mm yr−1) and time-series implied evolutions of the active layer and permafrost beneath. The motion trend along slopes was complicated, and thus interdisciplinary interpretations were required. Water level variations of inland lakes were then detected, although further investigations were required for validation. Anthropogenic influences on this frail permafrost environment were significant, proved by the remarkable surface settlement along the embankment of Qinghai-Tibet Railway. Consequently, it is crucial and necessary to monitor this arid and cold plateau owing to the combination of climate change, geo-hazards prediction as well as the regional sustainable development.
High resolution simulations of a variable HH jet

Context. In many papers, the flows in Herbig-Haro (HH) jets have been modeled as collimated outflows with a time-dependent ejection. In particular, a supersonic variability of the ejection velocity leads to the production of "internal working surfaces" which (for appropriate forms of the time-variability) can produce emitting knots that resemble the chains of knots observed along HH jets. Aims. In this paper, we present axisymmetric simulations of an "internal working surface" in a radiative jet (produced by an ejection velocity variability). We concentrate on a given parameter set (i.e., on a jet with a constante ejection density, and a sinusoidal velocity variability with a 20 yr period and a 40 km s -1 half-amplitude), and carry out a study of the behaviour of the solution for increasing numerical resolutions. Methods. In our simulations, we solve the gasdynamic equations together with a 17-species atomic/ionic network, and we are therefore able to compute emission coefficients for different emission lines. Results. We compute 3 adaptive grid simulations, with 20, 163 and 1310 grid points (at the highest grid resolution) across the initial jet radius. From these simulations we see that successively more complex structures are obtained for increasing numerical resolutions. Such an effect is seen in the stratifications of the flow variables as well as in the predicted emission line intensity maps. Conclusions. We find that while the detailed structure of an internal working surface depends on resolution, the predicted emission line luminosities (integrated over the volume of the working surface) are surprisingly stable. This is definitely good news for the future computation of predictions from radiative jet models for carrying out comparisons with observations of HH objects.
Horticultural Nutrition Intervention through Women’s Participation: An Action Research

Abstract India’s food and nutrition problems continue to be formidable and malnutrition is still one of the crucial problems in the process of development. The magnitude of malnutrition and the ignorance about the relationship between food and health among a majority of the population at all levels necessitates the need for nutrition education. This approach in the long term may promote self-reliance and self-support in the communities. Nutrition intervention programmes have been taken up and are being implemented by the Central and State governments and voluntary agencies with a view to ameliorating the nutritional status and health of the vulnerable sections of the population.The present study is an attempt to study the impact of horticultural nutrition intervention through women’s participation on nutritional knowledge of women and dietary intakes and nutritional status of their families.The study revealed that the horticultural nutrition intervention through women’s participation has a positive impact on women.
Influence of incubation temperature, ph and food substrate on production of Bacillus cereus extracellular proteins and toxins

A total of 422 isolates of Bacillus cereus, isolated from fresh vegetables were characterized alongside a reference strain (NRRL-B14726) and conditions influencing thier extracellular protein and toxin production were evaluated. Optimal temperature and pH conditions for growth of the isolates were 28 to 37°C and pH 6 to 7, respectively. Under these conditions, permissive for growth, the isolates produced extracellular proteins, with molecular weights ranging from 14 to 150 kDa, including those consistent with the 39, 45 and 105 kDa proteins of the Non-Haemolytic Enterotoxin (NHE) complex. There was no growth or extracellular protein detected at 4°C and pH 2 and 4. All isolates grew on rice medium, but only B24 produced an 8 kDa protein band which is presumed to represent the emetic toxin. Results from this study re-establish the great diversity in morphological and metabolic characteristics of B. cereus strains and the importance of food-storage conditions for prevention of B. cereus foodborne illnesses. Furthermore, it shows that food substrate may be an important determinant of toxin production. Key words: Bacillus cereus, food poisoning, diarrhoeal toxin, emetic toxin, vegetables.
Repertoire and frequency of consumption in wine: Are heavy buyers more loyal to product attributes?

Frequency of consumption has always been an important criterion for characterising and segmenting buyers. The aim of this paper is to provide a deeper understanding of the repertoire and loyalty structures between heavy and light wine buyers. Based on a study conducted with stated preference data, basic brand performance measures are estimated through Juster purchase probabilities of brand choice. The polarisation index φ (phi) is used as a measure to model loyalty. Results show that light buyers have a wider repertoire than heavy buyers, buying more small brands. In terms of loyalty, heavy buyers are more loyalty prone than light buyers, both as regards the brand name and the wine attributes examined in this study.
The development, the present situation and the prospects of Greek agriculture

There is a general consensus that the future of the European agricultural sector faces great insecurity. However, while agricultural exodus continues to constitute, in many Southern European Union regions, one of the most significant manifestations of agricultural occupational mobility, rural exodus should not be taken for granted. A large part of the surplus of agricultural labour force is absorbed locally due to economic decentralization and the concomitant development of nonagricultural activities, especially in the tertiary sector. The development of part-time farming and pluriactivity provides supplementary income to the farm holder or to other family members. This has allowed the survival of small, non-viable holdings which could not have been sustained otherwise. However, traditional and often outdated production and cultivation systems, as well as trade methods, hinder agricultural sector growth. In Greece, these dynamics have caused a number of changes to the employment structure of the active agricultural population, to agricultural income and to the country’s agricultural competitiveness. The last forty years have witnessed a decrease in the percentage of the active agricultural population from 36% during the 60s to 10.5% in 2007, agricultural income has over tripled, the agricultural gross national product is 7.3% of the GNP of the country and although the agro-food trade balance is in deficit, the value of agricultural exports represents 19.6% of the total exports of the country.
Partial purification and biochemical characterization of extracellular pectinase from Aspergillus niger isolated from groundnut seeds.

Objectives: To produce and partially purify pectinases from Aspergillus niger isolate JGIm2, characterize the enzymes for potential industrial applications in clarifying fruit juices. Methodology and results: Isolates of Aspergillus niger were screened for ability to produce pectinases by the enzymatic index method. All the 34 isolates screened were producers with isolates JGIm2, JGIm3 and JGIm5 being the best. Optimum enzyme production was found with medium containing 1.5% pectin after 48 h of fermentation. Partial purification of the enzyme was carried out by ethanol precipitation to give two fold purification and 56% yield. The enzyme had pH & temperature optima of 4.0 and 45°C, Km and Vmax values of 0.178 g/dl & 11.62 IU/mg protein, respectively. Clarification of banana and pineapple juice using the partially purified enzyme resulted in 38 and 41% reduction in viscosity as determined spectroscopically. Conclusions and potential application of findings : The results illustrate that a naturally secreted pectinase, produced by A. niger which is a ‘generally regarded as a safe’ organism has good potential for industrial application in that it’s enzyme activity is in the acidic range which is suitable for fruit juices. Low Km, appreciable Vmax and good yield values also enhance its capacity to clarify fruit juices. Pectinases are widely used in industrial processes that need solubilization of the cell wall of plants, wood, fruit or paper. The pectinase identified in this study has potential applications in processing of fruits and vegetables, agricultural and agro-industrial waste, coffee and tea fermentations, and in textile and paper making industry.
Effect of substrate bias on the structure and properties of multi-element (AlCrTaTiZr)N coatings

Multi-element (AlCrTaTiZr)N coatings are prepared by reactive RF magnetron sputtering. The influence of substrate bias (0 to −200 V) on the deposition rate, composition, structure and mechanical properties of these coatings is investigated. A reduction in both deposition rate and Al concentration is observed with increasing substrate bias. The grounded substrate is found to possess a columnar structure. The columnar structure is not so apparent in the denser coatings deposited at an applied substrate bias of −150 V. Furthermore, a minimum in coating roughness is found to occur at the intermediate substrate bias of −100 V. All the (AlCrTaTiZr)N coatings appear to have a single FCC structure from XRD analysis. Furthermore, it is determined from XRD that there is an increase in both (111) peak intensity and grain size, and a decrease in the lattice strain, for increasing substrate bias. The residual stress, hardness, elastic modulus and toughness of the coatings are found to be greatly enhanced by the substrate bias. The highest hardness and elastic modulus of approximately 36 Gpa and 360 GPa, respectively, were obtained at a substrate bias of −150 V.
Amadeu Silveira Campanelli A Model for Agile Method Tailoring

The software development industry has been adopting agile methods and practices instead of traditional software development methods because it is more flexible and can bring benefits such as handling requirements changes, productivity gains, frequent releases and business strategy focus. Since agile methods adoption is no simple task there are approaches for agile methods tailoring to the organization’s context to make the adoption process easier. This work proposes the identification and analysis of the criteria used for agile methods tailoring responding the following research question: which are the criteria utilized by organizations to tailor agile methods? The research will be conducted as a systematic literature review (SLR) and a survey. The SLR analyzed published papers on agile methods tailoring to identify research conduction, implementation approaches and the gaps on the theme’s research. The survey will be applied to IT professionals to identify how agile methods tailoring criteria used by organizations for agile practices adoption and their relationship with the adopted practices. The SLR results show that agile methods tailoring is an active research theme, majority of the research used empirical research procedures, majority of the tailoring approaches proposed on the literature are non agile methods specific and that tailoring is normally implemented using method engineering approaches. The expected results of the survey are the relationships between the criteria used for agile methods tailoring and the adopted agile practices. Key-words: agile methods tailoring. agile practices selection. agile methods. software method tailoring.
Method for Improving the Similarity Measure of Sparse Scoring Based on the Bhattacharyya Measure

The similarity computation has an important influence on the performance of the personalized recommendation system. Due to the sparsity of the data in the recommendation system, the traditional similarity measurement method can not achieve the desired results. Sparse scoring similarity measurement method based on the Bhattacharyya measure has achieved good results. In this paper, the score similarity measure is introduced. Then, a method to improve the similarity measure based on the Bhattacharyya measure is presented. Taking into account all the items of the two users’ score, and according to the score to distinguish between the user is really interested in the project.
Determinants of IPOs Initial Return: Extreme Analysis of Indian Market

This paper attempts to design and test empirical models, which integrate theoretical, institutional, and other factors, which interact to explain ownership structure. Ex-ante information at the level of under-pricing succeeds the Indian stock market crunch. The study is based on IPO that listed at Bombay stock exchange given that April 2000 to December 2011. Multiple linear regressions are used to distinguish the relationship between various independent variables with the dependent variable, i.e. level of underpricing. The outcomes of multiple regressions reveal that, firm’s age, IPO years, book building pricing mechanism, ownership structure, issue size, & market capitalization explained 44% of the variation in issuer under-pricing, Durbin Watson’s value subsisted 1.58, which indicates that, there is a positive sequential rela-tionship between variables. Number of share offered, issue size, market capitalization, subscription offer timing, book building mechanism and IPO years 2006, 2009 & 2011 are constructed to have important effect on the level of underpricing after the Indian market crisis. Nevertheless, firm’s age, IPOs year 2008, private issuing firms, non institutional promoters, Indian promoters and non institutional non promoters contain no significant difference in the level of underpricing after-market crisis.