Miracle-dz/UniFAR-FTUs huggingface dataset:
Culture for Regenerating Cities: What can Istanbul 2010 learn from the European Capitals of Culture Glasgow 1990 and Lille 2004?

In our contemporary era, the advocacy for culture has been articulated over many fields. Within the era of late capitalism culture is now heavily incorporated in regeneration and image (re-)making strategies of cities. The European Capital of Culture (ECOC) programme has become to serve as a catalyst for urban regeneration goals in cities. Among them, Istanbul is going to be an ECOC in 2010. By that time, Istanbul has a long way to learn from former ECOCs to understand the phenomenon and practice of culture-led strategies in urban planning and development. It is crucial for Istanbul to sustain the long-lasting impact for continuity. The thesis is based on three pillars. First, it examines why cities pursue culture-led strategies in urban regeneration and how culture can contribute to urban regeneration in social and economic terms. Second, it finds out what academics, local authorities and Istanbul 2010 actors can learn from the highly debated cases of Glasgow 1990 and Lille 2004. Third, the theory and analysis of case studies of Glasgow and Lille offers projections for the Istanbul 2010 event and open space for future research on the challenges. By performing a comparative analysis of case studies, the main finding is that culture has mainly contributed to city life in short-term. However, main problems in using the ECOC as a driver for urban regeneration emerged from high economic expectations and lack of clarity in long-term projections. Also, economic and social targets have fallen short in achieving sustainability and integrity. The remedy is to assure that culture-led urban regeneration is backed up by concrete measures directed to economic and social issues separately. It is also found out that culture is way to far to solve structural problems of the city by itself.
Design Techniques for High-Speed I/Os: Challenges and Opportunities

This editorial examines design techniques for high-speed serial data links over wire channels. The state-of-theart of serial links over wire channels is briefly studied. The imperfections of wire channels at high frequencies and their effect on multi-Gbps serial links are examined. It is followed with a close examination of modulation schemes effective in combating the effect of the finite bandwidth of wire channels. Channel equalization, both pre-emphasis and post-equalization, are investigated with an emphasis on adaptive decision feedback equalization. Challenges and opportunities in combating ISI are explored.
On Hawking Radiation of 3D Rotating Hairy Black Holes

We study the Hawking radiation of 3D rotating hairy black holes. Specifically, we compute the transition probability of bosonic and fermionic particles in such backgrounds. Then, we show that the transition probability is independent of the nature of the particle. It is observed that the charge of the scalar hairy B and the rotation parameter a control such a probability.
Experimenter Demand Effects and Altruism Towards the Experimenter

As a stress test of experimenter demand effects, we run an experiment where subjects can physically destroy coupons awarded to them. About one subject out of three does. Giving money back to the experimenter is possible in a separate task but is more consistent with an experimenter demand effect than an explanation based on altruism towards the experimenter. A measure of sensitivity to social pressure helps predict destruction when social information is provided.
The Roadmap of Servitization for Manufacturing Companies to Strength Buyer-supplier Relationships

The article aims to introduce the concept of servivitization in lubricant industry, as well as why and how it can be a useful concept for industrial firms. This study first discusses recent literature related to the concept of servitization to understand how it can strengthen relationships and create value for clients in the lubricant industry. This study also constructs a roadmap to identify and illustrate service value, and proposes a four-step procedure for servitization in the lubricant industrial context. Results suggest that lubricant industry can develop new service-based and relationship-based value propositions, and servitization can strengthen relationships and creates value for clients. The road map can be useful when introducing the importance of services and the inter-relatedness between the service department and other parts of the organization, which communicates a better internal understanding of the servitization
Experimental drift study of a dry and adiabatic fluid cooler

Water drift emitted from cooling towers is objectionable for several reasons, mainly due to human health reasons. These objections raise walls to the installation of the cooling towers and penalize the COP of the cooling plants they serve. The dry and adiabatic fluid cooler works as a standard fluid dry cooler enhancing the dry cooler’s capacity with adiabatic pre-cooling of the air intake. The objectives of this work were two-fold: the first one was to review the available drift test methods usually used on cooling towers, and the second one was to carry out drift measurements on a dry and adiabatic fluid cooler and on a cooling tower of similar capacity working in real facilities. No drift was registered on the dry and adiabatic fluid cooler by using the sensitive paper drift test method, while a drift of 0.0023% was measured in the cooling tower.
The short-term combined effects of temperature and organic matter enrichment on permeable coral reef carbonate sediment metabolism and dissolution

Abstract. Rates of gross primary production (GPP), respiration (R), and net calcification (Gnet) in coral reef sediments are expected to change in response to global warming (and the consequent increase in sea surface temperature) and coastal eutrophication (and the subsequent increase in the concentration of organic matter, OM, being filtered by permeable coral reef carbonate sediments). To date, no studies have examined the combined effect of seawater warming and OM enrichment on coral reef carbonate sediment metabolism and dissolution. This study used 22 h in situ benthic chamber incubations to examine the combined effect of temperature (T) and OM, in the form of coral mucus and phytodetritus, on GPP, R, and Gnet in the permeable coral reef carbonate sediments of Heron Island lagoon, Australia. Compared to control incubations, both warming (+2.4 °C) and OM increased R and GPP. Under warmed conditions, R (Q10 = 10.7) was enhanced to a greater extent than GPP (Q10 = 7.3), resulting in a shift to net heterotrophy and net dissolution. Under both phytodetritus and coral mucus treatments, GPP was enhanced to a greater extent than R, resulting in a net increase in GPP / R and Gnet. The combined effect of warming and OM enhanced R and GPP, but the net effect on GPP / R and Gnet was not significantly different from control incubations. These findings show that a shift to net heterotrophy and dissolution due to short-term increases in seawater warming may be countered by a net increase GPP / R and Gnet due to short-term increases in nutrient release from OM.
Smarter Classification for Imbalanced Data Set and Its Application to Patent Evaluation

Overall, accuracy as a performance measure does not fully consider modular accuracy: the accuracy of classifying 1 (or true) as 1 is not same as classifying 0 (or false) as 0. A smarter classification algorithm would optimize the classification rules to match the modular accuracies’ goals according to the nature of problem. Correspondingly, smarter algorithms must be both more generalized with respect to the nature of problems, and free from decretization, which may cause distortion of the real performance. Hence, in this paper, we propose a novel vertical boosting algorithm that improves modular accuracies. Rather than decretizing items, we use simple classifiers such as a regression model that accepts continuous data types. To improve the generalization, and to select a classification model that is well-suited to the nature of the problem domain, we developed a model selection algorithm with smartness. To show the soundness of the proposed method, we performed an experiment with a real-world application: predicting the intellectual properties of e-transaction technology, which had a 47,000+ record data set.
Understanding Student-Teachers’ Performances within an Inquiry-Based Practicum

The role of an inquiry-based practicum in the education of future teachers has been identified as a key component to foster student-teachers’ abilities to face problems, try to solve them, work on doubts and produce situated and valuable learning from their own practices (Cochran-Smith & Little, 2001; Beck, 2001). The interaction between mentors and student-teachers involved in this process requires feeding the mutual understanding to collaboratelly make decisions to work on difficulties. In this reflective study, the practicum was the perfect scenario to evaluate how student-teachers and mentors engaged in inquiry-based work to face problems on a daily basis in schools in the context of teachers education. This article shows how a group of 12 students-teachers and their mentors experienced difficulties within an inquiry-based practicum in an undergraduate program while conducting an instructional intervention, designing, implementing and applying a project relevant to their teaching context. Given the qualitative nature of this study, some stages of the process were analysed over a period of a year bringing as a result relevant insights to enhance their teaching practicum-process in Colombian public schools.
MARSCHALEK, R. (2003): Marker Assisted Selection for the development of intervarietal substitution lines in rape- seed (Brassica napus L.) and the estimation of QTL

This study was carried out to define the extent of allelic variation of 3-hydroxy-3-methylglutaryl-CoA reductase gene (HMGR) in wild Hevea accessions, based on SSR polymorphisms existing at their 3’-untranslated regions (UTRs). Existence of two microsatellite alleles and their repeat compositions was demonstrated earlier in cultivated rubber clones. Both alleles contained perfect poly (AG)n repeats interrupted by a short sequence of 12 nucleotides and allelic variation at this microsatellite locus was the result of repeat length polymorphisms. In wild populations of rubber, nine microsatellite alleles (‘A’ to ‘I’) were identified at the HMGR locus revealing a wide allelic diversity compared to cultivated clones. Out Allelic Diversity Revealed Through SSR Polymorphisms at the Locus Encoding HMG-CoA Reductase in Rubber (Hevea brasiliensis) By T. SAHA*), C. B. ROY1), M. RAVINDRAN, K. BINI and M. A. NAZEER Genome Analysis Laboratory, Rubber Research Institute of India, Kottayam 686 009, Kerala, India (Received 29th December 2005) 1) Present affiliation: Plant Pathology Division, RRII. *) Author for correspondence: Tel. : +91-481-2353311, Fax: +91481-2353327. E.mail: saha@rubberboard.org. in Saha et. al.·Silvae Genetica (2007) 56-2, 58-65 DOI:10.1515/sg-2007-0009 edited by Thünen Institute of Forest Genetics 59 of nine, four alleles (‘B’, ‘C’, ‘D’ and ‘G’) were present in higher frequencies than the others. In total, 15 allelic combinations were noticed for HMGR among wild accessions and four of them were unique. Twenty-five out of 60 wild accessions were found to be homozygous for the above four alleles (‘BB’, ‘CC’, ‘DD’ and ‘GG’) and the rest were heterozygous, characterized by 11 different allelic combinations. Repeat-length polymorphisms were noticed in these four alleles prevailing among wild Hevea accessions. Genetic relatedness of Mato Grosso accessions with cultivated Hevea clones, as revealed through this study, is in agreement with earlier reports on phylogenetic studies using molecular markers. This work is a significant step towards understanding the functional variability of HMGR for latex production in Hevea brasiliensis.
Effectiveness of cognitive-behavioral group therapy based on Heimbergs model of self-concept

The objective of this study is to review the effectiveness of cognitive-behavioral group therapy (CBGT) on girl students’ self-concept based on Heimberg's model. The method of this study was an experimental type. Using Tennessee’s self-concept questionnaire, 18 students (n = 9 for each group) were randomly selected into two groups: experimental group (cognitive behavioral group therapy) and control group (no treatment). After 12 session treatments (2 h per session), Tennessee’s self-concept questionnaire was repeated as a post-test in both groups. Covariance test showed that CBGT based on Heimberg’s model was more effective in experimental students' self-concept than in control group, with 99% confidence. Therefore, CBGT based on Heimberg’s model was associated with a marked positive response in young students’ self-concept. Key words: Cognitive-behavioral group therapy, Heimberg's model, self-concept, young students.
The equations of ferrohydrodynamics: modeling and numerical methods

We discuss the equations describing the motion of ferrofluids subject to an external magnetic field. We concentrate on the model proposed by R. Rosensweig, provide an appropriate definition for the effective magnetizing field, and explain the simplifications behind this definition. We show that this system is formally energy stable, and devise a numerical scheme that mimics the same stability estimate. We prove that solutions of the numerical scheme always exist and, under further simplifying assumptions, that the discrete solutions converge. We also discuss alternative formulations proposed in pre-existing work, primarily involving a regularization of the magnetization equation and supply boundary conditions which lead to an energy stable system. We present a series of numerical experiments which illustrate the potential of the scheme in the context of real applications.
Identification of molecular markers associated with the deleted region in common bean (Phaseolus vulgaris) ur-3 mutants

Common bean (Phaseolus vulgaris L.) is one of the most widely cultivated legumes grown for its dietary fiber and protein. Bean rust caused by the fungal pathogen Uromyces appendiculatus is a major constraint for bean production. Ur-3, one of several race specific loci in the bean genome contributing to rust resistance, provides resistance to 44 of the 89 rust races curated in the United States. Thus, development of markers linked to this locus is very important. The bean cultivar "Sierra" exhibits hypersensitive resistance response to race 53. The susceptible mutants ur3-Δ2 and ur3-Δ3 were derived by fast neutron bombardment of Sierra, and have deletions in the Ur-3 region of the genome. This research is aimed at finding molecular markers associated with the deleted region in the mutants as a tool to better understand Ur-3-mediated rust resistance. Until now, only two RAPD-derived sequence characterized amplification region markers SK14 and SAE 19 are available for the Ur-3 locus. We discovered that these markers are present (as PCR amplicons) in Sierra but are absent in the ur3-Δ2 and ur3-Δ3 mutants. We attempted to develop new molecular markers for characterization and tracking of this genomic region. Hybridization of a SK14-derived overgo probe showed erratic results by identifying BACs in and outside of the Ur-3 region. Therefore, we developed a new SCAR marker named DESU-G1 utilizing the amplified fragment length polymorphism (AFLP) methodology for this deleted region in the ur-3 rust susceptible mutants. This is the first attempt to develop AFLP markers associated with the Ur-3 locus in common bean.
Seed Morphology of Vitis vinifera and Its Relationship to Ecogeographical Groups and Chlorotypes

Grapevine (Vitis vinifera L.) comprises over 10,000 different cultivars and cultivar groups. These show morphological diversity and genetic polymorphism that follow geographical gradients W to E and N to S. This has led many authors to conclude that grapevine is polyphyletic. Grapevine biogeographical and ecogeographical patterns of variation were first described by Negrul in terms of “Proles”, which were characterized by the type of indumentum on leaves and shoots, and grape shape as main descriptors. Recent studies have shown the existence of eight different chlorotypes (seven in cultivars and wild grapevines and one exclusively in wild grapevines) or six haplotypes. We compare the geographical patterns and relationships of chlorotypes/haplotypes with proles and morphological descriptors. We studied the indumentum type in nearly 1,000 grapevine cultivars and wild grapevine populations extending from Western Europe and North Africa to Central Asia. Chlorotypes and ecogeographical groups show similar patterns of variation in a transect W to E. However, low correlation was found between chlorotypes and ecogeographical groups, e.g. chlorotype A (characteristic of many cultivars from Spain) is mainly found in accessions of the Proles Occidentalis (with arachnoid indumentum on the abaxial surface of adult leaves). However, cultivars morphologically belonging to Proles Orientalis Subproles Caspica (with erect hairs) and Proles Pontica (with mixed indumentum) also show chlorotype A. Alternative approaches for interpreting this divergence are discussed in this paper.
Monitoring Pesticide Residues in Surface and Ground Water in Hungary: Surveys in 1990–2015

Over 2000 surface, ground and raw drinking water samples have been analyzed in the frame of different monitoring projects in Hungary and watercourses in neighboring countries between 1990 and 2015. Effects of pesticide contamination on ecological farming and drinking water supply have been assessed. Main water pollutant ingredients of agricultural origin in Hungary are herbicides related to maize production. After EU pesticide re-registration, diazinon, atrazine, and trifluralin gradually disappeared as contaminants. High levels of water soluble pollutants (e.g., acetochlor) in surface water result in temporarily enhanced levels in raw drinking water as well. Extreme levels observed for herbicide residues were of agrochemical industrial origin.
Development and validation of a CCD-laser aerosol detective system for measuring the ambient aerosol phase function

Abstract. Aerosol phase function represents the angular scattering property of aerosols, which is crucial for understanding the climate effects of aerosols that have been identified as one of the largest uncertainties in the evaluation of radiative forcing. So far, there is a lack of instruments with which to measure the aerosol phase function directly and accurately in laboratory studies and in situ measurements. A portable instrument with high angular range and resolution has been developed for the measurement of the phase function of ambient aerosols in this study. The charge-coupled device-laser aerosol detective system (CCD-LADS) measures the aerosol phase function both across a relatively wide angular range of 10–170° and at a high resolution of 0.1°. The system includes a continuous laser, two charge-coupled device cameras and the corresponding fisheye lenses. The CCD-LADS was validated by both a laboratory study and a field measurement. The comparison between the aerosol phase function retrieved from CCD-LADS and Mie-scattering model shows good agreement. Compared with the TSI polar nephelometer, CCD-LADS has the advantages of wider detection range and better stability.
Real-time Facial Expression Recognition System using Raspberry Pi

— In present day technology human-machine interaction is growing in demand and machine needs to understand human gestures and emotions. Emotions can understand by text, vocal, verbal and facial expressions. Facial expressions are a rich source of communicative information about human behaviour and emotion. Facial Expression Recognition is challenging problem up till now because of many reasons, moreover, it consists of three sub challenging tasks face detection, facial feature extraction and expression classification. Automatic facial expression analysis is an interesting and challenging problem which impacts important applications in many areas such as human-computer interaction and data driven animation. Deriving effective facial representative features from face images is a vital step towards successful expression recognition. Most of the systems are able to recognize basic prototype emotions like Happy, Sad, Surprise, Anger, Fear and Disgust. These general expressions are detected using certain variations of the facial features like broadening of mouth, closing of eyes, twitching of nose, etc. The proposed method achieves a fast and robust facial feature extraction based on consecutively applying filters to the image. The proposed method implements the real time emotion recognition from facial image using three steps face detection, features extraction and classifier for classification of emotions. The proposed method uses raspberry pi for implementing emotions recognition.
Resilience of Stateful IoT Applications in a Dynamic Fog Environment

Fog computing provides computing, storage and communication resources at the edge of the network, near the physical world. Subsequently, end devices nearing the physical world can have interesting properties such as short delays, responsiveness, optimized communications and privacy. However, these end devices have low stability and are prone to failures. There is consequently a need for failure management protocols for IoT applications in the Fog. The design of such solutions is complex due to the specificities of the environment, i.e., (i) dynamic infrastructure where entities join and leave without synchronization, (ii) high heterogeneity in terms of functions, communication models, network, processing and storage capabilities, and, (iii) cyber-physical interactions which introduce non-deterministic and physical world's space and time dependent events. This paper presents a fault tolerance approach taking into account these three characteristics of the Fog-IoT environment. Fault tolerance is achieved by saving the state of the application in an uncoordinated way. When a failure is detected, notifications are propagated to limit the impact of failures and dynamically reconfigure the application. Data stored during the state saving process are used for recovery, taking into account consistency with respect to the physical world. The approach was validated through practical experiments on a smart home platform.
Non-Evaporating Liquid Spray Simulations with the ETAB and WAVE droplet Breakup models

Non-evaporating diesel sprays have been simulated u sing the ETAB and the WAVE breakup models and have been compared with experimental data. The ETAB breakup model has been implemented into the commercial CFD-package Star-CD during this s tudy. The model evaluation criteria include the spray penetration, the spray width, and the local droplet size. The c omparisons have been made for various gas densities. The simulations showed good overall agreement with experimental data. However, the ca pability to predict the spray widths and droplet sizes could be improved for both models.
Regional Competitiveness in Fresh Produce Markets: Exploring Seasonal Dynamics and the Role of Energy Costs in Apple Markets

The fresh produce sector is subject to season-specific market conditions so understanding differential impacts of various factors across marketing periods is important. We analyze the market structure, key factors influencing shipments, and seasonal price relationships in regional apple markets at the shipping-point and terminal-market levels using a symmetric variable threshold autoregressive model that allows threshold bands (which define price ranges considered in shipping decisions) to vary seasonally. We find that transportation costs and seasonality have a significant impact on threshold bands of market pairs and that the impact varies seasonally. This varying band across seasons may represent suppliers who perceive more or less opportunities to adjust their supply between regional markets and gain advantage by being responsive to market conditions.