Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Modeling of Two-Stage Extraction Kinetics using the Single Drop Technique

This paper focuses on the mathematical modeling of the two-stage extraction using the single drop technique. Two stages of extraction are being considered: the drop formation step, where dimensions of the drop are highly dependent on time, and the drop travel step, during which the drops size and dimensions are assumed constant. Models for both extraction steps are derived and the combined model is proposed. Two-stage and one-stage models of extraction are compared. Errors occuring when considering only the travel stage of the single drop extraction have been calculated and their dependencies on various extraction parameters have been determined. The analysis of the combined two-stage model has proven that the travel-stage-only model generates significant errors during the determination of reaction rate constants when the drop formation time is significant in relation to the whole extraction time. Thus, the two-stage model should be used to reduce originating errors.
PR ] 6 F eb 2 01 1 A MODIFIED LOG-HARNACK INEQUALITY AND ASYMPTOTICALLY STRONG

We introduce a new functional inequality, which is a modification of log-Harnack inequality established in [21] and [30], and prove that it implies the asymptotically strong Feller property (ASF). This inequality seems to generalize the criterion for ASF in [14, Proposition 3.12]. As a example, we show by an asymptotic coupling that 2D stochastic Navier-Stokes equation driven by highly degenerate but essentially elliptic noises satisfies our modified log-Harnack inequality. AMS subject Classification: 60J75, 60J45.
Designing an Open Visual Workflow Environment

This paper presents open piping, a box-and-wire programming environment, then uses Cognitive Di-mensions of Notations to analyse its interaction design and identify its weaknesses. Physics of Notations gives a complementary perspective to propose solutions which we present by example. We also discuss the respective uses and beneﬁts of Cognitive Dimensions and Physics of Notations in this work
Development of Optimal Decoking Scheduling Strategies for an Industrial Naphtha Cracking Furnace System

A naphtha cracking furnace produces various petrochemical products ranging from ethylene to pitch. Continuous operation of the furnace leads to coke formation, in increasing amounts, on the inner surface of the cracking coils. The coke deposits inside the coils decrease the productivity of the furnace, and therefore, its operation is periodically stopped for decoking to restore the productivity. An industrial furnace system has many furnaces in parallel, which share a common naphtha feed flow. This leads to an optimization problem in which the decoking schedule for a set of parallel furnaces must be decided simultaneously along with the distribution of the inlet naphtha feed flow among them. The optimization problem can be formulated as an MINLP, which may be computationally intractable for an industrially sized problem. Three alternative solution strategies have been developed to circumvent the inevitable nonlinear terms in the objective function. The performance of each strategy is presented in terms of.
Buckwheat groats production. Part I. The changes in carbohydrates and protein of buckwheat (Fagopyrum esculentum Moench) during processing

The changes in carbohydrates and protein of buckwheat during groats production were investigated. The influence of cleaning, dehulling and in particular two different systems of roasting on the buckwheat compounds were also discussed. It was found that processing of buckwheat was responsible for the changes in most factors studied regarding particular proteins and cellulose. During the roasting process temperature activity as well as the influence of water or steam created significant changes in the solubility of proteins. More pronounced changes in chemical composition were observed after steam roasting in comparison to fire roasting.
Impact de la politique fiscale dans les territoires subsahariens sur les IDE marocains : une modélisation économétrique de cointégration de panel

Since the 2000s, inflows of FDI into sub-Saharan countries from Morocco have increased significantly in the context of south-south cooperation and the economic integration of Morocco in its African continent. However, the volume of Moroccan FDI flows to sub-Saharan territories differs from one country to another, and this is explained by the heterogeneity of the factors of localization of FDI, including the fiscal policy of these countries, which constitutive an important determinant of the attractiveness of FDI alongside socio-political-economic conditions.
Porang (Amorphophallus Muelleri Blume) Glucomannan Solubility Increase by Wet dan Dry Milling

Despite of hydrophilic, glucomannan solubility is so slow that its solubility increase is required for easier, faster, and wider application. This research objective was to find a milling method which can enhance glucomannan solubility with high sol transparency, WHC and apparent viscosity. Native glucomannan extract from porang corm was classified into 3 treatments, no milling (native), grinding to pass through 80 mesh sieve (dry milling) or before grinding, the glucomannan were dissolved and precipitated using ethanol (wet milling) which then dried and passed through 80 mesh sieve. Compared to dry milling (13%), wet milling could significantly enhance higher glucomannan solubility (18%) with high sol transparency, WHC and apparent viscosity due to its depolymerization, molecular weight reduction, more porous and amorphous morphology as well.
High Perfomance Fiber- Kevlar the Super Tough Fiber

In today’s fast growing market, apart from general apparel clothing, some special applications are expected from textile fibers. Such fibers are used specifically for protective clothing and thus require certain high performance properties. This generation of fibers has been recently developed in the 20th century and are called high performance fibers. A class of these fibers have very high tenacity and high modulus which are used in applications such as bullet proof jackets, whereas another class of fibers would have high thermal or chemical resistance which can be used as flame resistant fabrics etc. High performance fibers include polymeric fibers such as aramids, aromatic copolyesters, extended chain flexible polyolefin etc.; carbon fiber; glass fibers; ceramic fibers and metallic fibers. High performance polymeric fibers being used for high mechanical properties should be highly oriented, linear aliphatic or aromatic molecules since flexible chains would give low melting polymers and thus low thermal resistance. On the other hand, carbon fibers are planar graphite structures with outstanding mechanical properties. Inorganic fibers have a three dimensional structure compared to a one dimensional and two dimensional structure of polymeric materials and carbon fibers respectively. They have very good mechanical properties but are brittle and have the highest thermal resistance. However, carbon fibers as well as inorganic fibers (except glass fibers) are very expensive. In the following sections, particularly, polymeric fibers would be discussed in detail. Although in the past there were some research works had done and papers also been published, but this paper just simplifies the things as well as highlight some superb features of the Kevlar fiber. However this is not a research article rather than a review article.
Reconstructing and/or Deconstructing Masculinity: A Commentary on the Case of "Tommy"

Men’s psychological well-being has in recent decades garnered increasing attention in research, clinical practice, and larger society. Dewey’s insightful case study provides an occasion for reflecting on the multiple conceptual lenses that can be used to understand and work with masculinity in psychotherapy. In this commentary, we discuss how these conceptualizations of masculinity facilitate different approaches to psychotherapy at the levels of treatment planning and intervention. We offer our own approach to masculine identity work, noting specific points of contrast with the approach illustrated by Dewey. Finally, we critically explore the clinical and societal implications of concepts like "toxic masculinity" and "healthy masculinity" in light of social justice pursuits for gender equality. Throughout, we emphasize the importance for clinicians to make deliberate choices about how masculinity is conceptualized and to consider the pragmatic consequences of these conceptual choices.
Functional diversity of organic and inorganic manured soils under cotton-wheat cropping sequences

Community level physiological profile (CLPP) assays, which assess a microbial community, has the capacity to metabolize specific sole carbon sources for study of environmental soil samples. Analysis of soils after ten years of application of different organic manures and inorganic fertilizers under cottonwheat cropping system at CCS H.A. U Hisar shows that there was a buildup of higher microbial functional diversity than those in conventional farming systems. In this study, we made an attempt to find out the effect of organic manuring and integrated nutrient management on microbial communities and BIOLOG assay. Functional microbial diversity on the basis of sugar and amino-acid utilization pattern was also studied in these soils and it was found that in inorganically fertilized, integrated managed and organically manured soils formed two different groups indicating the different microbial activity in these treatments.
INTUITIONISTIC FUZZY BASED BREAST HISTOLOGY IMAGE ANALYSIS AND CLASSIFICATION

Researchers from the medical image analysis domain apply microscopy-based computer aided image analysis as a tool for objective, precise and quantitative disease diagnosis. In the similar context, main goal of this dissertation is the development of techniques for object level computer aided image analysis of breast histology images. In microscopic image analysis research, histology image examination is considered as gold standard. Due to complex tissue appearance in histology images, its automated analysis is challenging and need objective decision support to pathologist so as to minimize inter-intra observer variability in decision making. In this research, we propose robust, accurate breast histology image segmentation and classification techniques using inputs from expert pathologists in development process. The main contributions of the research work are fivefold. Initially, a spatio-colour similarity based super pixel generation method to capture spatial arrangement and color of duct epithelial lining lumen or solid sheets without lumen in breast histology images is proposed. Secondly, we propose to integrate this super pixel with texton: clustered vector filter responses to formulate similarity measure for Normalized Cuts (NCUT) image segmentation method. Thirdly, we extend proposed super pixel and texton generation technique to Atanassov’s Intuitionistic Fuzzy Sets (AIFS) domain by inculcating hesitancy and non-membership knowledge of breast tissue appearance irrespective of staining concentration and different fixation procedure while preparing sample specimen from breast gross tissue. Using this fuzzy representation, AIFS based similarity measure is proposed to find more accurate breast duct segmentation using NCUT. Further, a new AIFS clustering based fuzzy texture map is generated to reduce computations required for AIFS texton image representation as fourth contribution. This AIFS texture map results were compared with map generated using the state of art fuzzy C-means (FCM) clustering approach and the two texture maps are integrated with AIFS super pixel separately for generating single color-texture based AIFS breast image for each integrated map. Further NCUT is performed on these resultant AIFS affinity matrices separately for segmenting duct epithelial regions in breast images and quantitative evaluation of each proposed integrated approach is performed. Finally, a texture and morphological feature based linear classifier is proposed to classify breast histology images as non-malignant and malignant images. Ground truth image database of both nonmalignant and malignant breast tissue images for evaluation of proposed algorithms was developed by expert pathologist. The experimentations and evaluations carried on these image databases demonstrate the superiority of proposed segmentation and classification algorithms.
Exploring destination image, familiarity, information search behaviour, involvement and travel motivation as influencers of ecotourists’ destination loyalty

This work aims at exploring the influence of selected factors that have received little attention in the past on ecotourism destination loyalty within the context of a developing country. The factors are destination image, familiarity, information search behaviour, involvement and travel motivation. The research was conducted on ecotourists visiting Malaysia who were approached on site and assisted to complete the survey instrument. The sample size was 813, representing a response rate of 47%. Hypotheses were tested using Structural Equation Model. It was found that while there are no linear relationships between the tested variables and destination loyalty, there are findings from the study that offer some managerial implications towards the industry.
University of Groningen Whole body vibration improves cognition in healthy young adults

This study investigated the acute effects of passive whole body vibration (WBV) on executive functions in healthy young adults. Participants (112 females, 21 males; age: 20.562.2 years) underwent six passive WBV sessions (frequency 30 Hz, amplitude approximately 0.5 mm) and six non-vibration control sessions of two minutes each while sitting on a chair mounted on a vibrating platform. A passive WBV session was alternated with a control session. Directly after each session, performance on the Stroop Color-Block Test (CBT), Stroop Color-Word Interference Test (CWIT), Stroop Difference Score (SDS) and Digit Span Backward task (DSBT) was measured. In half of the passive WBV and control sessions the test order was CBT-CWIT-DSBT, and DSBT-CBT-CWIT in the other half. Passive WBV improved CWIT (p = 0.009; effect size r = 0.20) and SDS (p = 0.034; r = 0.16) performance, but only when the CBT and CWIT preceded the DSBT. CBT and DSBT performance did not change. This study shows that two minutes passive WBV has positive acute effects on attention and inhibition in young adults, notwithstanding their high cognitive functioning which could have hampered improvement. This finding indicates the potential of passive WBV as a cognition-enhancing therapy worth further evaluation, especially in persons unable to perform active forms of exercise. Citation: Regterschot GRH, Van Heuvelen MJG, Zeinstra EB, Fuermaier ABM, Tucha L, et al. (2014) Whole Body Vibration Improves Cognition in Healthy Young Adults. PLoS ONE 9(6): e100506. doi:10.1371/journal.pone. 0100506 Editor: Reury F. P. Bacurau, University of Sao Paulo, Brazil Received November 8, 2013; Accepted May 28, 2014; Published June 20, 2014 Copyright: 2014 Regterschot et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. * E-mail: g.r. h.regterschot@umcg.nl
Combining Multiple Knowledge Sources for an Efficient Query Expansion in Cross-Language Information Retrieval

Cross-Language Information Retrieval (CLIR) consists of providing a query in one language and searching document collections in one or more languages. In the present paper, we focus on query translation and disambiguation to reduce errors associated with polysemy, caused after a simple dictionary translation. Combined query expansion, both before and after translation and disambiguation is used to improve the effectiveness of information retrieval. Therefore, we propose a model using multiple sources for query reformulation through different expansion techniques, such as pseudo-relevance feedback, thesauri and a new feedback strategy named domainbased feedback. Domain-based feedback is based on the extraction of domain keywords from web categories in order to expand original queries. We tested the effectiveness of different combinations of query expansion techniques on French-English information retrieval using TREC data collection. A combined domain-based feedback and thesauri-based expansion showed the greatest improvement for the effectiveness of information retrieval. The rest of this paper is organized as follows: Section 2 gives an overview of the adapted strategy for query translation and disambiguation in CLIR. Query expansion techniques are described in Section 3. Evaluation and results are discussed in Section 4. Section 5 presents the conclusion of this paper.
Ordinary Organizations2

This article presents a reinterpretation of important social-psychological experiments on obedience. It proposes the thesis that Frank's Soda Cracker Experiment, the Milgram Experiment, the Stanford Prison Experiment and the Deportation Experiment do not reproduce general behavior in contemporary society; rather, the experiments only allow conclusions about behavior in organizations. It can be shown that the experiments simulate (more by chance than intentionally) typical features of behavior in organizations: the membership issue, the member's self-commitment to the organization, and behavior within a zone of indifference and resistance in control gaps.
Impact of physical activity on the Body Mass Index and self- esteem of adolescents

The object of this study was to analyse the impact of the practice of physical activity on the body mass index (BMI) and self-esteem of adolescents. The samples included 1,011 adolescents, aged between 14 and 18 years. First the BMI was calculated, then the adolescents filled in the Rosenberg Self-esteem Scale (RSS) questionnaire and the International Physical Activity Questionnaire (IPAQ). Student's t-test and the chi-squared test were used for statistical analysis. The Odds Ratio and the Confidence Interval (95%) were also calculated. Female adolescents who are physically active have a 22.4% lower probability of developing overweight/obesity (OR=0.776, CI 95% 0.741-0.813) and 34.4% lower probability of presenting low self-esteem (OR=0.656, CI 95% 0.616-0.698). Participation in physical education classes reduces the probability that male adolescents will present low self-esteem by 88% (OR=0.120 CI 95% 0.043-0.339). In female adolescents, the practice of physical activity at school acts to prevent low selfesteem, as well as helping to control bodyweight increase. In male adolescents’ participation in physical education classes acts as a protection against low self-esteem.
A study of material constitutive behaviour at elevated temperature from compressive SHPB test using an inverse analysis method

In order to facilitate characterization of materials at high strain rate and high temperature, this paper introduces a technique for using the traditional Split Hopkinson Pressure Bar (SHPB) system at elevated temperature, with a different geometry for the specimen. This particular specimen is used to avoid a complicated SHPB system at an elevated temperature, and to keep things as simple as possible. The limitations of the compression SHPB in use at high temperatures, the need for extra computations and the requirement for additional equipment may be reasons why there is such a scarcity of reliable flow stress data for various materials at high temperatures in the literature. In order to identify the constitutive equation, an inverse analysis method is used from a reduced finite element simulation of the specimen compression. This simple, easy, practical experimental system and inverse analysis technique, have been used to study a AA5083 aluminium alloy at high temperature and high strain rates.
Evaluating the leximin method for community detection

We evaluate the leximin method for community detection, a divisive clustering scheme which achieves a higher normalized mutual information score (NMI) than eight popular methods on a common set of benchmark graphs with weak communities. This performance is an artifact of how NMI is computed, rather than an indication that the leximin method better recovers the true communities. We use this to argue that NMI should be replaced with another known measure: adjusted mutual information (AMI). On graphs with strong communities, the leximin method is competitive in its ability to recover ground-truth communities. Finally, it distinguishes itself from popular hierarchical CD methods by early stopping on weak communities, allowing ties, and achieving high performance.
An Approach to Teaching to Write Safe and Correct Imperative Programs — even in C ∗

C is widely used for low-level system programming. As such, it is a staple of systems courses. Manual memory management, undefined behaviors and the many other vagaries of C make it challenging to learn (and teach). In this paper, we describe our approach to teaching safe and correct imperative programming in C. It is based on first exposing students to a custom programming language that is a small safe subset of C, augmented with a layer of executable contracts. These contracts allow students to express the pre-and post-conditions of functions, to write loop invariants, and to capture data structure invariants. Contracts help students gain a deeper understanding of their code, thereby preempting many unsafe or incorrect statements. Being executable, contracts allow them to quickly identify remaining bugs. Once students have mastered writing safe and correct code in this language, we transition them to C. We have adapted our introductory data structures course (CS2) to use this custom language. This experience report is based on teaching this course for the last eight years to many thousand CS majors and non-majors.
Core-Concept-seeded based LDA towards Ontology Learning

Ontologies are powerful semantic models applied for various purposes such as improving system interoperability, information retrieval, question answering, etc. However, modeling domain ontology remains a tough task for humans especially when the concepts and properties are large or evolving, and also when the modeling is performed on a large-scale text data. Machine learning provides a valuable help by automatizing ontology learning from texts. In peculiar for concept formation task, clustering techniques are able to deal with a huge number of terms to extract concepts, i.e. clusters of semantically similar terms. However, current works have the issues of learning relevant clusters for speciﬁc domain or making relevant labels for clusters. To solve these issues, we propose both to use core concepts from a domain ontology as prior knowledge, and to adapt term clustering with seed knowledge based LDA models in order to take into account these core concepts, by ﬁrst assigning each LDA topic to a seeding core concept, then guiding LDA to put terms linked to the same core concept in the same topic. We evaluate our proposal on two textual corpora and compare it to 4 other clustering based approaches (two unsupervised methods and two semi-supervised methods). The results show that our approach beats them signiﬁcantly on clean corpus, and noisy corpus without serious imbalance on core concept classes (considering number of terms). For noisy corpus with prominent imbalance problem, our SMBM-SW is a good alternative.