Miracle-dz/UniFAR-FTUs huggingface dataset:
Lattice Boltzmann Simulation of Forced Convection in Vented Cavity Filled by Porous Medium with Obstruction

In this paper, numerical study of forced convection heat transfer in a square cavity with inlet and outlet slots and hot obstacle with and without porous medium was investigated. The walls of cavity in addition of inlet and outlet ports are thermally insulated and the obstacle is maintained at constant temperature. A lattice Boltzmann model for incompressible flow in porous media and Brinkman Forchheimer equation is used to simulate the problem. Effect of Reynolds and Prandtl Numbers on flow field and temperature distribution is studied at different porosities. Results are presented in form of streamlines, temperature contours and averaged Nusselt numbers. Results show that by adding the porous medium to the domain and decreasing porosity heat transfer enhances.
Title: The Role of Internal Branding in Nonprofit Brand Management: An Empirical Investigation Keywords: Brand Orientation; Staff Emotional Brand Attachment; Staff Service Involvement; Charismatic Leadership; Internal Branding

Internal branding refers to an organization’s attempts to persuade its staff to buy-in to the organization’s brand value and transform it into a reality. Drawing from self-determination theory and leadership theory, we seek to develop a deeper understanding of the process of internal branding in the nonprofit sector. More specifically, we propose and examine the mediating effects of the staff’s emotional brand attachment, staff service involvement and the moderating effect of charismatic leadership on the brand orientation behaviour-organizational performance relationship using data obtained from the representatives of 301 UK nonprofit organizations. On a general level, the findings suggest that staff emotional brand attachment and staff service involvement are linked to brand orientation and organizational performance. Moreover, charismatic leadership increases the strength of this linkage. All of these findings extend the literature on internal branding.
Value-Based Deep Reinforcement Learning

In this section, we introduce three popular value-based deep reinforcement learning (RL) algorithms: Deep Q-Network (DQN) [1], Double DQN [2] and Dueling DQN [3]. All the three neural architectures are able to learn successful policies directly from high-dimensional inputs, e.g. preprocessed pixels from video games, by using end-to-end reinforcement learning, and they all achieved a level of performance that is comparable to a professional human games tester across a set of 49 names on Atari 2600 [4].
Rupture Process of the 2011 Mw 9 . 0 Tohoku Earthquake And Strong Motion Simulation from the Viewpoint of NPP Seismic Design

Rupture process of the 2011 Mw9.0 Tohoku earthquake is estimated by using long-period waveform inversion. Our results show that the earthquake produced large dislocations of nearly 70m in the up-dip region, a relatively shallow area along the Japan trench, consistent with the source models inferred from tsunami observation. On the other hand, a source model constructed by strong motion simulation is composed of five asperities (or strong motion generation areas, SMGA) in the down-dip region. In contrast to the moment magnitude of 9.0 estimated from the long-period waveform inversion, each SMGA is of moment magnitude not larger than 8.0. It suggests a frequency-dependent rupture pattern featured with short-period wave radiation concentrated in the down-dip region and long-period wave radiation in the up-dip region. This finding is of great importance for NPP seismic design since asperities in the previous source models for seismic design are mainly in the down-dip region.
Sustainable, efficient livestock production with high biodiversity and good welfare for animals

What is the future for livestock agriculture in the world? Consumers have concerns about sustainability but many widely used livestock production methods do not satisfy consumers' requirements for a sustainable system. However, production can be sustainable, occurring in environments that: supply the needs of the animals resulting in good welfare, allow coexistence with a wide diversity of organisms native to the area, minimize carbon footprint and provide a fair lifestyle for the people working there. Conservation need not just involve tiny islands of natural vegetation in a barren world of agriculture, as there can be great increases in biodiversity in farmed areas. Herbivores, especially ruminants that consume materials inedible by humans, are important for human food in the future. However, their diet should not be just ground-level plants. Silvopastoral systems, pastures with shrubs and trees as well as herbage, are described which are normally more productive than pasture alone. When compared with widely used livestock production systems, silvopastoral systems can provide efficient feed conversion, higher biodiversity, enhanced connectivity between habitat patches and better animal welfare, so they can replace existing systems in many parts of the world and should be further developed.
Do-It-Yourself Health Care: A Three-Step Approach to Supporting Patient Self-Management in Clinical Practice

Implementation issues plague the uptake and effectiveness of self-management programs in clinical practice. Using a participatory design, we developed an innovative three-step approach to support patient self-management in the field. This approach is based on existing evidence-based techniques and is supported by a Web-based patient portal. The focus of this online patient portal is threefold: firstly, patients are taught the skills and helped to build the confidence to adequately self-manage their disease in the homeenvironment. Secondly, professionals are provided with the tools and techniques to guide and monitor this process. Thirdly, the portal allows for data sharing, long-term progress monitoring and efficient communication between different health care providers. The authors are currently in the process of evaluating this approach and assessing the uptake, usability and usefulness in clinical practice. Keywords-self-management; health care; e-health; implementation; participatory design; patient portal
Big Five Personality Dimensions

Levitt, B. , & March, J. G. (1988). Organizational learning. In W. R. Scott & J. Blake (Eds.), Annual review of sociology (Vol. 14, pp. 319–340). Palo Alto, CA: Annual Reviews. March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2, 71–87. March, J. G. (1994). A primer on decision making: How decisions happen. New York, NY: Free Press. March, J. G. , & Weil, T. (2005). On leadership. Hoboken, NJ: Wiley-Blackwell. Ocasio, W. (1997, Summer). Towards an attention-based theory of the firm. Strategic Management Journal, 18, 187–206.
FORECAST AND ESTIMATING OF ELECTRICITY CONSUMPTION USING BIG DATA ANALYSIS

The energy conception is a very difficult in data analysis using big data. With the defiance of gravity of smart grid, masses of renewable energy assets such as wind and solar are applied in power system management. The power system load varied complex than before which will bring drawback in short-term load predicting zone. First, a cluster analysis is consummate to categorize everyday load arrangements for separate loads using smart pattern data. Next, an association analysis is used to choose critical commanding issues. This is followed by the presentation of a decision tree to create classification rules. Then, suitable estimating models are chosen for dissimilar load designs. Finally, the predicting total system load is found through an accumulation of a separate load’s predicting results. Chaining KNN (k-nearest neighbor) is an extensively used classification algorithm due to its simplicity. It is one of the top ten data mining algorithms, has been widely applied in various fields. KNN has few restrictions affecting its accuracy of classification. It has large memory requirements as well as high time complexity.
Annealing Effect on Optical Properties of Thalium Sulphide (Tl2S) Thin Films

This paper investigates the effect of heat treatment on the optical properties of Thalium Sulphide (Tl2S). Interest in the binary and ternary thin films has led to increased research in photovoltaic. Tl2S thin films have a number of applications in various fields. The layers of thallium sulphides are commonly produced by the deposition method from chemical solutions. The chemical bath solution was obtained by preparing obtained by adding 20 ml of 0.5M Thiourea-(a precursor for Sulphur), 10ml of 1.0M Thallium chloride (TlCl) solution –(a Thalium precursor) and 1ml of 0.5M Trisodium Citrate into 100ml beaker as a complexant. Then 40ml of distilled water was added to the solution and then gently stirred at room temperature to obtain a homogenous solution. 2ml of 0.3M ammonia (NH3) was added in drops until a pH of 8.0 was reached. The bath pH of the solution was measured with Mettler Toledo AG 8603 pH meter. Finally, the substrates were immersed into the precursor and deposit for 6 hrs at about 70 C. The substrates were removed, rinsed with distilled water and allow air-drying after the deposition. One sample was labelled as-deposited with two others annealed at temperature 300 C and 350 C respectively to study the effect of annealing on the deposited films. The results show that the presence of heat in Tl2S thin films increases its properties such as reflectance of the films in the visible range, higher absorption and energy band-gap. Conversely, increase in heat treatment brought about decrease in transmittance properties of Tl2S.
HYPNOSIS FOR INDIVIDUALS TOO SUSCEPTIBLE TO

Lack of assertiveness may be related to over susceptibility to suggestions. According to Janet, the essential characteristics of an effective suggestion are belief in both the suggested event and in the power of the suggestion. This article describes a hypnotic procedure, based upon cue-conditioning, that is intended to help clients learn to believe in their ability to counter undesired influences from other people.
Burnout and its Associated Factors in Medical Students of Lahore, Pakistan

Introduction: Burnout is a widely known phenomenon. It is defined as a state of prolonged physical and psychological exhaustion and is experienced virtually by every medical student due to the highly demanding nature of medical education. This study probes into the prevalence and psychosocial determinants of burnout in Pakistani medical students. Methods: A descriptive, cross-sectional study design and convenience (non-probability) sampling technique were employed in undergraduate medical students from years 1-5. A total of 777 medical students from two medical colleges were included in the study from May-August, 2014. An English version of the Copenhagen Burnout Inventory (CBI) and a series of demographic questions, intermixed with questions from other topics, were included in the questionnaire. Data was analysed by using SPSS ver.21. Results: The majority of students were females and enrolled in the third year of MBBS. Of the medical students involved, 30.6% were found to have high/very high levels of burnout (Kristenson’s burnout scoring). Although 38.7% of students said that they did not feel burned out after reading the definition of burnout given in the questionnaire, 35.9% out of these students actually had high levels of burnout according to CBI. According to the multiple regression analysis, burnout in medical students was significantly associated with age, gender, doctor parents, no help or no supportive resources (e.g., from colleagues), lack of time off, lack of belief in what you do, fear of big consequences of failure, family responsibilities, and uncertain future. Perception of teachers lacking leadership skills and doing too much study with little balance was associated with low burnout scores. Conclusion: There is a high prevalence of burnout in Pakistani medical students. The present study identifies several factors associated with burnout in Pakistani medical students. Although these factors are a part of daily life of medical students, their identification should prompt the use of effective coping strategies and skills, thus, minimising their burnout levels.
Phylogeography and recolonization of the Swiss Alps by the Valais shrew (Sorex antinorii), inferred with autosomal and sex‐specific markers

Using one male‐inherited, one female‐inherited and eight biparentally inherited markers, we investigate the population genetic structure of the Valais shrew (Sorex antinorii) in the Swiss Alps. Bayesian analysis on autosomal microsatellites suggests a clear genetic differentiation between two groups of populations. This geographically based structure is consistent with two separate postglacial recolonization routes of the species into Switzerland from Italian refugia after the last Pleistocene glaciations. Sex‐specific markers also confirm genetic structuring among western and eastern areas, since very few haplotypes for either Y chromosome or mtDNA genome are shared between the two regions. Overall, these results suggest that two already well‐differentiated genetic lineages colonized the Swiss Alps and came into secondary contact in the Rhône Valley. Low level of admixture between the two lineages is likely explained by the mountainous landscape structure of lateral valleys orthogonal to the main Rhône valley.
Animal Models in Osteosarcoma

Osteosarcoma (OS) is the most common non-hematologic primary tumor of bone in children and adults. High-dose cytotoxic chemotherapy and surgical resection have improved prognosis, with long-term survival for non-metastatic disease approaching 70%. However, most OS tumors are high grade and tend to rapidly develop pulmonary metastases. Despite clinical advances, patients with metastatic disease or relapse have a poor prognosis. Toward a better understanding of the molecular pathogenesis of human OS, several genetically modified OS mouse models have been developed and will be reviewed here. However, better animal models that more accurately recapitulate the natural progression of the disease are needed for the development of improved prognostic and diagnostic markers as well as targeted therapies for both primary and metastatic OS.
Parametric Yield-Driven Resource Binding in High-Level Synthesis with Multi-Vth/Vdd Library and Device Sizing

The ever-increasing chip power dissipation in SoCs has imposed great challenges on today's circuit design. It has been shown that multiple threshold and supply voltages assignment (multi-Vth/Vdd) is an effective way to reduce power dissipation. However, most of the prior multi-Vth/Vdd optimizations are performed under deterministic conditions. With the increasing process variability that has significant impact on both the power dissipation and performance of circuit designs, it is necessary to employ statistical approaches in analysis and optimizations for low power. This paper studies the impact of process variations on the multi-Vth/Vdd technique at the behavioral synthesis level. A multi-Vth/Vdd resource library is characterized for delay and power variations at different voltage combinations. Meanwhile, device sizing is performed on the resources in the library to mitigate the impact of variation, and to enlarge the design space for better quality of the design choice. A parametric yield-driven resource binding algorithm is then proposed, which uses the characterized power and delay distributions and efficiently maximizes power yield under a timing yield constraint. During the resource binding process, voltage level converters are inserted between resources when required. Experimental results show that significant power reduction can be achieved with the proposed variation-aware framework, compared with traditional worstcase based deterministic approaches.
Nutrient-Gene Expression Regulation of Intestinal Apolipoprotein B mRNA Editing Levels by a Zinc-Deficient Diet and cDNA Cloning of Editing Protein in Hamsters 1 , 2

This study was conducted to investigate the influence of dietary zinc on intestinal apoB mRNA editing in hamsters. Apolipoprotein B-48 (apoB-48) is synthesized from the same gene as apoB-100 by a post-transcriptional, site-specific cytidine deamination, a process known as apoB mRNA editing. A cDNA encoding the hamster apoB mRNA editing enzyme was obtained by reverse transcriptase-polymerase chain reaction (RT-PCR) and the deduced amino acid sequence was found to possess high amino acid sequence identity to apoB mRNA editing enzymes from several other species. Editing activity was detected in the small intestine and colon but, like humans, none was detected in the liver. Analysis by RT-PCR indicated that the small intestine possessed the highest expression of editing enzyme mRNA abundance, whereas both liver and small intestine expressed relatively high levels of apoB mRNA. The influence of dietary zinc on intestinal apoB mRNA editing levels was examined in Golden Syrian hamsters (7 wk old) assigned to one of the following three dietary treatments: Zn-adequate (ZA, 30 mg Zn/kg diet), Zn-deficient (ZD, ,0.5 mg Zn/kg diet), or Zn-replenished (ZDA, ZD hamsters receiving ZA diet for last 2 d) for 7 wk. Hamsters consuming the ZD diet had modestly but significantly lower intestinal editing activity than ZA hamsters. Intestinal editing activity in the ZDA group was not different from that of ZA hamsters. Data derived from these studies contribute to the understanding of lipoprotein metabolism in hamsters, a suitable model for the study of atherosclerosis. J. Nutr. 130: 2166–2173, 2000.
Discriminative Network Models of Schizophrenia

Schizophrenia is a complex psychiatric disorder that has eluded a characterization in terms of local abnormalities of brain activity, and is hypothesized to affect the collective, "emergent" working of the brain. We propose a novel data-driven approach to capture emergent features using functional brain networks [4] extracted from fMRI data, and demonstrate its advantage over traditional region-of-interest (ROI) and local, task-specific linear activation analyzes. Our results suggest that schizophrenia is indeed associated with disruption of global brain properties related to its functioning as a network, which cannot be explained by alteration of local activation patterns. Moreover, further exploitation of interactions by sparse Markov Random Field classifiers shows clear gain over linear methods, such as Gaussian Naive Bayes and SVM, allowing to reach 86% accuracy (over 50% baseline - random guess), which is quite remarkable given that it is based on a single fMRI experiment using a simple auditory task.
Intergenerational Equity and the Social Discount Rate

Recent modelling of the costs and benefits of climate change has renewed debate regarding assumptions for the social discount rate in analysing the impacts of environmental change. Previous literature suggests two key factors influence estimates of the social discount rate: the rate of pure time preference and the elasticity of marginal utility of future consumption. These components of the social discount rate reinforce the linkages between the choice of social discount rate and intergenerational distribution. This paper addresses the question of the relationship between intergenerational equity and the social discount rate and promotes the application of intergenerational distributional weights as a means of incorporating intergenerational equity preferences in policy analysis. Intergenerational equity-adjusted social discount rates are derived as a means of decomposing the intergenerational equity aspect of the social discount rate. The work has significant policy implications for projects with long time frames given the sensitivity of Cost Benefit Analysis outcomes to decisions regarding the social discount rate.
Synthesis and characterization of Fe3O4-MPTMS-PLGA nanocomposites for anticancer drug loading and release studies

Abstract Magnetic nanocomposites (Fe3O4-MPTMS-PLGA) were synthesized by single oil emulsion method and characterized by transmission electron microscopy (TEM), X-Ray diffraction (XRD), and vibrating sample magnetometer (VSM). Particle size of nanocomposites was between 117 nm and 246 nm. High performance liquid chromatography (HPLC) was used to investigate drug loading (paclitaxel, PTX) and release from Fe3O4-MPTMS-PLGA-PTX nanocomposites. The percentages of drug loading and encapsulation efficiency onto nanocomposites were found as 7.35 and 68.58, respectively. Cytotoxities of free anticancer drug and anticancer drug-loaded nanocomposites were determined by MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay. In vitro cell culture studies indicated that Fe3O4-MPTMS-PLGA-PTX had significant toxicity on MG-63 cancer cells.
The MUCT Landmarked Face Database

We present the MUCT database consisting of 3755 images of human faces with 76 manual landmarks. Compared to existing publicly available 2D manually landmarked databases, the MUCT database provides more diversity of lighting, age, and ethnicity. As an example application of the database we show that an Active Shape Model trained on the MUCT data is a little more flexible than one trained on the XM2VTS data. The database is freely available for academic use.
Benchmarking in European Higher Education: A step beyond current quality models

This paper presents the findings of a two-year EU-funded project (DG Education and Culture) Benchmarking in European Higher Education, carried out from 2006 to 2008 by a consortium led by the European Centre for Strategic Management of Universities (ESMU), with the Centre for Higher Education Development, UNESCO-CEPES, and the Universidade de Aveiro. Quality assurance as currently practised may ensure accountability, yet it does not sufficiently enhance the quality of higher education. The application of industrial quality models has shown its limitations. Going beyond current quality approaches, benchmarking is a modern management tool to set targets for increased performance through inter-organisational learning.
Chaotic Maps for Biometric Template Protection-A Proposal

Modern biometric technologies claim to provide alternative solution to traditional authentication processes. Even though there are various advantages of biometric process, it is vulnerable to attacks which can decline its security. Towards addressing these concerns and improving public confidence, Biometric Cryptosystems and Cancelable Biometrics represent emerging technologies. This paper presents a comprehensive survey of Biometric Cryptosystems and Cancelable Biometrics along with the open issues and challenges. A new approach is proposed to address these open issues and challenges based on Cancellable Biometrics using chaotic maps, which are known to posses desirable properties of pseudo randomness, high sensitivity to initial conditions and very large key space.
Event-Based Extractive Summarization

Most approaches to extractive summarization deﬁne a set of features upon which selection of sentences is based, using algorithms independent of the features themselves. We propose a new set of features based on low-level, atomic events that describe relationships between important actors in a document or set of documents. We investigate the effect this new feature has on extractive summarization, compared with a baseline feature set consisting of the words in the input documents, and with state-of-the-art summarization systems. Our experimental results indicate that not only the event-based features offer an improvement in summary quality over words as features, but that this effect is more pronounced for more sophisticated summarization methods that avoid redundancy in the output.