Miracle-dz/UniFAR-FTUs huggingface dataset:
Fashion Clothing Involvement : Testing a Theoretical Model

For centuries the phenomena of fashion behavior has been the varied subject of social analysts, cultural historians, moral critics, academic theorists, and business entrepreneurs. Based on this context, this study has as main goal to test an extended and adapted theoretical model of fashion clothing involvement. The method used was a survey where the sample was defined as non-probabilistic by convenience with 315 people. The results showed that the fashion involvement antecedents need to be more explored, because from the three constructs supposed to be antecedents, just one was supported (i.e. Age). In addition, support was found to the fact that fashion clothing involvement meditates two theoretical relations. The first one is between age and commitment, and the second one is between age and subjective knowledge. Other studies might refine the model suggested here and advance more in the fashion involvement comprehension, mainly in the antecedents’ part. Key-Word: Fashion, Involvement, Modeling
Companies ’ customer portfolio management practices and performance in different exchange contexts

Customer portfolio management represents one of the our key relationship management levels in busines s markets. A large number of customer portfolio model s has been suggested and tested since early 1980s. However, there is currently only little knowledge abou t companies’ actual customer portfolio management ( CPM) practices and their performance. Moreover, there is currently little knowledge about the role of compa ny context on customer portfolio management. This study e xamines the relationship between companies’ CPM pra ctices and performance in different exchange context s. Total nine hypotheses are suggested and they are tested by PLS-modeling. The CPM activities are found to be connected to customer profitability and overall cu stomer performance but only with caution directly to firm performance. Different CPM styles are found e ffective in two examined exchange contexts. Highly desi gned, mechanistic CPM practices are best suited to market-like exchange contexts where the managerial cha llenges arise from structural complexity of custome r base. In turn, the network-like exchange context fa vors a less designed, more organic CPM style becaus of the greater complexity present in customer relation ships and interaction. Finally, the results indicat e lso that different facets of CPM activities are emphasized f or attaining performance depending on the context o f exchange. Overall, the findings show the importance o f tailoring the CPM practices to company’s relation al context.
WEAK TYPE INEQUALITIES FOR SOME OPERATORS ON GENERALIZED MORREY SPACES OVER METRIC MEASURE SPACES

We discuss weak type inequalities for maximal and fractional integral operators on generalized Morrey spaces over metric measure spaces. Here the measure satisfies the so called growth condition. From the weak type inequality for maximal operator we obtain a Hedberg type inequality, which leads us to the weak type inequality for the fractional integral operator on the same spaces.
Modelling pollutants sub-grid scale variability due to surface emission heterogeneity at urban areas

We propose a sub-grid scale model, that takes into account surface emission heterogeneity and models pollutants variability at scales smaller than model resolution. Grid-average emission flux is split into a sub-grid mosaic of different types of emitting surfaces (traffic, residential, etc.). The model is implemented into a mesoscale chemistry transport model and results for a 3-months simulation over Paris (June 1st to August 31) are compared with surface measurements at traffic and background stations. The model is able to differentiate correctly pollutants concentrations over sub-grid scale micro-environments (close to streets or over residential areas) improving correlation with measurements up to 25% for [PM10] and up to 72% for [NO2]. Decrease in model bias reaches 30% for [NO] and 11% for [O3] compared to grid-average concentrations. Different sensitivity of ozone production to its precursors emission rates is observed between sub-grid simulations. Modelled [O3] sub-grid scale variability is found to vary by a factor of 3 depending on the photochemical regime, with the NO − x-sensitive photochemistry favouring variability creation compared to the V OC-sensitive regime.
A Novel Design and Analysis of non-linear Autopilot system

Control systems are probably one of the important building blocks in almost every man-made entity, machinery and electromechanical systems. With automation expanding rapidly in every field supported by advancing technology, to reduce human work load and improve performance and delivery of systems, the need for effective and smarter control systems is ever-growing. This paper presents the design and analysis of an autopilot system. The mathematical model of the aircraft has been limited to a longitudinal 3 Degrees Of Freedom model (3-DOF), reasons for which are explained. The model developed have been tested and analyzed under various flying conditions based on the pilot inputs and results of the same are depicted. The paper provides the methodology of building the autopilot system and precisely compiled results of testing. Key-Words: Aerodynamic, Flight dynamics, 3-DOF autopilot, PID, control automation.
Partial differential equations / Numerical analysis Localization of extended current source with finite frequencies Localisation de sources étendues à partir d ’ un nombre fini de fréquences

Article history: Received 1 July 2014 Accepted after revision 12 September 2014 Available online 26 September 2014 Presented by Philippe G. Ciarlet A phase conjugation algorithm for localizing the spatial support of an extended radiating current source from boundary measurements of the electric field over a finite set of frequencies is presented. An imaging function using a full frequency bandwidth is established and analyzed. It is subsequently adopted to the case of finite frequency measurements. Finally, the algorithm is blended with l1-regularization in order to deal with the artifacts associated with finite frequency data. © 2014 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved. r é s u m é Dans cette note, nous présentons un algorithme de conjugaison de phase pour la reconstruction d’une source étendue à partir de mesures de champ électrique obtenues pour un ensemble fini de fréquences. Nous commençons par introduire et analyser une fonctionnelle d’imagerie à partir de mesures obtenues pour un intervalle de fréquences. Ensuite, nous proposons une régularisation l1 d’une telle fonctionnelle d’imagerie afin d’éliminer les artefacts dus à l’aspect discret et limité des fréquences utilisées. © 2014 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved.
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects

Methods tackling multi-object tracking need to estimate the number of targets in the sensing area as well as to estimate their continuous state. While the majority of existing methods focus on data association, precise state (3D pose) estimation is often only coarsely estimated by approximating targets with centroids or (3D) bounding boxes. However, in automotive scenarios, motion perception of surrounding agents is critical and inaccuracies in the vehicle close-range can have catastrophic consequences. In this work, we focus on precise 3D track state estimation and propose a learning-based approach for object-centric relative motion estimation of partially observed objects. Instead of approximating targets with their centroids, our approach is capable of utilizing noisy 3D point segments of objects to estimate their motion. To that end, we propose a simple, yet effective and efficient network, AlignNet-3D, that learns to align point clouds. Our evaluation on two different datasets demonstrates that our method outperforms computationally expensive, global 3D registration methods while being significantly more efficient. We make our data, code, and models available at https://www.vision. rwth-aachen.de/page/alignnet.
Multiple-response optimization of the acidic pre-treatment of the brown alga Sargassum cristaefolium for the alginate extraction using twin screw extruder

1 Doctoral Degree of Agricultural Product Technology, Faculty of Agriculture , Brawijaya University, Malang 65145, Indonesia 2 Department of Fisheries Science ,Faculty of Agriculture, Madura Islamic UniversityPamekasan 69351, Indonesia 3 Department of Chemistry – Faculty of Sciences – Brawijaya University – Malang65145, Indonesia 4 Department of Food Science and Technology – Faculty of Agricultural Technology – Brawijaya University Malang, 65145, Indonesia
Aboveground biomass and tree species diversity along altitudinal gradient in Central Highland , Vietnam

Central Highlands in Vietnam supports a very high forest cover and high tree species diversity. However, there are no quantitative studies that deal with altitudinal changes in aboveground biomass (AGB) and tree species diversity. Therefore, in this study we tested patterns of AGB, stem density, species diversity and canopy height along increasing altitude. A total of 49 temporary 50 m x 50 m plots were established in lower lowland (< 500 m), upper lowland (500–1000 m), sub-montane (1000–1500 m), and montane (1500–1800 m) zones. All individuals having stem diameter at breast height (dbh) ≥ 10 cm were identified to species and measured for dbh. AGB (R2 = 0.67) and stem density (R2 = 0.39) significantly increased with increasing altitude, while top canopy height (R2 = 0.78) decreased. Species density (R2 = 0.52) and diversity Shannon-Weiner index (R2 = 0.31) significantly decreased towards higher altitude. Diameter at breast height showed a significant (R2 = 0.26), but small, increase with increasing altitude. Cluster analysis indicated that there are two significant vegetation zones of different stand structures and tree species diversity in the Central Highlands of Vietnam, viz., lowland forests below 1000 m, and lower montane forests between 1000–1800 m elevation. This study found an increasing trends in AGB and stem density with increasing altitude.
Applying methods of machine learning in the task of intrusion detection based on the analysis of industrial process state and ICS networking

Modern industrial control systems (ICS) are increasingly becoming targets of cyber attacks. Traditional security tools based on a signature approach are not always able to detect a new attack, the signature of which has not yet been described. In particular, this occurs during targeted attacks on industrial facilities. Cyber attacks can cause anomalies in the operation of an industrial control system and process equipment under its control. Therefore, to detect attacks, it is advisable to use an approach based on the detection of anomalies. A reasonable way to implement this approach is to use machine learning techniques. The paper deals with the most common methods of machine learning (decision tree algorithms, linear algorithms, support vector machine) and neural networks. To assess their applicability in the problem of detection of ICS anomalies, the Additional Tennessee Eastman Process Simulation Data for Anomaly Detection Evaluation and Gas Pipeline datasets were used
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability

Multilingual topic models (MTMs) learn topics on documents in multiple languages. Past models align topics across languages by implicitly assuming the documents in different languages are highly comparable, often a false assumption. We introduce a new model that does not rely on this assumption, particularly useful in important low-resource language scenarios. Our MTM learns weighted topic links and connects cross-lingual topics only when the dominant words defining them are similar, outperforming LDA and previous MTMs in classification tasks using documents’ topic posteriors as features. It also learns coherent topics on documents with low comparability.
Tech Report : Fair Scheduling for Deadline Driven , Resource-Constrained Multi-Analytics Workloads

In this paper, we analyze and empirically evaluate Justice, a new approach to fair-share, deadline-aware job scheduling for resource-constrained cloud deployments managed by big data resource negotiators. Justice provides admission control, which leverages historical traces and job deadlines to guide and adapt resource allocation decisions to changing workload conditions. We evaluate Justice using different deadline types and production analytics workloads. We find that it outperforms extant allocators in terms of fair allocation, deadline satisfaction, and useful work. Keywords—cloud for IoT; scheduling; big-data; fairness;
Chapter 2 Hurdle Technology in Food Preservation

Most of the food products in the market are preserved (i.e. retained its stability) based on more than one hurdle or preservation method. In order to determine the food stability, two questions need to be asked: what target attribute(s) needs to be achieved in the microbial, chemical, bio-chemical and physical changes; and what is the required time frame of stability? When considering stability, the microbial and chemical safety aspects must be considered first before sensory properties. The microbial stability and safety of the most traditional and novel foods is based on a combination of several preservation factors (called hurdles), and the microorganisms present in food are unable to overcome. This is illustrated by the so-called hurdle effect, first highlighted by Leistner (1978). The critical limits are being used by the industry when each hurdle such as heat treatment, water content, pH and storage temperature is applied alone. Fundamental based theoretical concepts of F-value (hurdle: heat treatment), water activity (hurdle: water content) and glass transition (hurdle: glassy state; depending on water, storage temperature, and structure) are the most successful in determining food stability during food processing and storage. These concepts (i.e. each hurdle) are usually applied to specific types of products, for examples F-value to canned foods (i.e. high moisture); and water activity and glass transition for dried and frozen foods. The F-value is based on commercial sterility, water activity by state of water (i.e. bound or free) and glass-rubber transition by structural mobility. However, more than 60 hurdles may involve in food preservation (Leistner 2000a). The details of the important hurdles used in establishing food stability are discussed in the IFT/FDA Report (2003) and Leistner (2007).
Phylogeny and biogeography of Chinese sisorid catfishes re-examined using mitochondrial cytochrome b and 16 S rRNA gene sequences

The family Sisoridae is one of the largest and most diverse Asiatic catfish families, most species occurring in the water systems of the Qinhai-Tibetan Plateau and East Himalayas. To date published morphological and molecular phylogenetics hypotheses of sisorid catfishes are part congruent, and there are some areas of significant disagreement with respect to intergeneric relationships. We used mitochondrial cytochrome b and 16S rRNA gene sequences to clarify existing gaps in phylogenetics and to test conflicting vicariant and dispersal biogeographical hypotheses of Chinese sisorids using dispersal–vicariance analysis and weighted ancestral area analysis in combination with palaeogeographical data as well as molecular clock calibration. Our results suggest that: (1) Chinese sisorid catfishes form a monophyletic group with two distinct clades, one represented by (Gagata (Bagarius, Glyptothorax)) and the other by (glyptosternoids, Pseudecheneis); (2) the glyptosternoid is a monophyletic group and Glyptosternum, Glaridoglanis, and Exostoma are three basal species having a primitive position among it; (3) a hypothesis referring to Pseudecheneis as the sister group of the glyptosternoids, based on morphological evidence, is supported; (4) the genus Pareuchiloglanis, as presently defined, is not monophyletic; (5) congruent with previous hypotheses, the uplift of Qinghai-Tibetan Plateau played a primary role in the speciation and radiation of the Chinese sisorids; and (6) an evolutionary scenario combining aspects of both vicariance and dispersal theory is necessary to explain the distribution pattern of the glyptosternoids. In addition, using a cytochrome b substitution rate of 0.91% per million years and 0.23% for 16S rRNA, we tentatively date that the glyptosternoids most possibly originated in Oligocene–Miocene boundary (19–24Myr), and radiated fromMiocene to Pleistocene, along with a center of origin in the Irrawaddy–Tsangpo drainages and several rapid speciation in a relatively short time. 2005 Elsevier Inc. All rights reserved.
IFAD RESEARCH SERIES 46 Economic Participation of Rural Youth: What Matters?

Employment opportunities (for youth and non-youth) depend on the development of the economy: structural transformation, rural transformation and employment transformation. In rural areas, employment transformation (to steady, more productive wage employment) takes longer than in urban areas. Strategies to facilitate youth’s entry into employment (the youth-specific employment challenge) have to take account of this. <br><br>We have limited evidence on how youth handle this challenge in rural areas, and on effects of targeted programmes on this challenge – either the impact of non-targeted agricultural productivity and earnings programmes on youth’s challenges or the impact of targeted youth programmes in rural areas. Certainly, the rural-urban gap in education and learning disadvantages rural youth. Anecdotal evidence suggests that when new off-farm opportunities develop in rural areas, youth are able to access them, while entry into farming may be hindered by lack of access to land. <br><br>Evidence on programmes in urban areas to help youth enter self-employment may hold lessons for programme design for rural youth. A key lesson is that lack of technical skills does not seem to be the biggest obstacle youth face in entering the labour force. Given that most rural tasks (farm or non-farm) do not require a high degree of technical skill, we can expect that this would be even truer in rural areas. Microfinance (or cash grants) has been helpful in urban settings to help youth start non-farm businesses. Evidence on agricultural extension programmes suggests that peer-to-peer learning works best, perhaps arguing for youth-specific programmes to upgrade farming skills and knowledge, but this needs to be tested.
A Chromosome 4 q 25 Variant is Associated with Atrial Fibrillation Recurrence After Catheter Ablation : A Systematic Review and Meta-Analysis

Recurrence After Catheter Ablation: A Systematic Review and Meta-Analysis Pattara Rattanawong1,2, Jirat Chenbhanich3, Wasawat Vutthikraivit4, Pakawat Chongsathidkiet5 1University of Hawaii Internal Medicine Residency Program, Honolulu, HI, USA. 2Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand. 3Department of Internal Medicine, Metrowest Medical Center, Framingham, MA, USA. 4Department of Medicine, Texas Tech University Health Sciences Center, TX, USA. 5Department of Pathology, Duke University Medical Center, Durham, NC, USA.
Molecular markers as a tool for participatory cassava breeding

It is of fundamental importance to know the genetic identity of the plants used in the breeding process and in the case of asexually reproduced crops to know to which clone a plant belongs. Since cassava smallscale farmers do not maintain a one-to-one relationship between variety and clone participatory cassava breeding has a problem using farmer’s plants. This study uses molecular markers to identify clones popular by small-scale cassava farmers and to describe the impact of genotype by environment interaction (GxE) on farms. Popular clones are particularly important when choosing local parents for crossings. Better knowledge of GxE at the farm level would improve the selection schemes. Eight SSR markers were found to be sufficient to discriminate between clones. A wide diffusion of a clone was used as an estimate of its popularity. Plants were collected from ten districts of Malawi. Most clones were limited in their geographic distribution. A majority was represented by a single plant but a few were found in several districts. Plants of the clones ‘gomani’ and ‘mbundumali’, that for decades have been distributed by the national breeding programme, were collected from farmers in three and nine districts, respectively. There was genetic identity between all ‘gomani’ collected from the farmers and the ‘gomani’ in the breeding programme. Plants that belonged to the program clone ‘mbundumali’ had seven variety names among farmers and these varieties also included a fraction of other clones. Consequently farmers can maintain varieties as single clones but mostly molecular markers are needed for identification of a plant’s genotype. The study also suggests that the major part of the small-scale farmers’ clones is used for breeding the rest for production. The analysis of GxE in farmers’ fields showed that interaction occurred within farms for variables related to cultivation activities as well as to natural environmental variation.
Predictors of Cervical Cancer Screening Uptake among Women Living with HIV (WLHIV) in Kigali, Rwanda

: Predictors of cervical cancer screening uptake among women living with HIV (WLWH) in Rwanda was determined using a cross sectional mixed study design with a convenience sample to select 384 WLWH aged 30-50 years from four health centers (HC) in Kigali. Descriptive statistics, bivariate, and multivariable analysis were used to assess the variables and identify factors associated with cervical cancer screening. A thematic network analysis was also to analysis data from individual and key informants’ interview to provide detailed information on reasons behind predictors of cervical cancer screening uptake. Among 384 participants, 224 (58.3%) have been screened for cervical cancer. Three hundred and eleven (81%) and 279 (73%) had knowledge on symptoms and risk factors of cervical cancer respectively. Women who were screened had greater awareness of the importance of early detection and prevention, more commonly had a sense of feeling at risk of developing cervical cancer, more commonly reported that a physician had recommended screening (P<0.001). Women who were not screened more commonly reported living far from screening services (P=0.007), and concerns about the expense of screening (P=0.002), fear of pain from the screening procedures (P<0.001), fear of being diagnosed with cervical cancer (P<0.001), or reported that they had no need for screening (P<0.001). Knowledge of the risk factors for cervical cancer was associated with screening uptake. Health Center based patient education were highly associated with screening uptake. Therefore, we recommend integrating cervical cancer information in community health promotion interventions to increase uptake in