Miracle-dz/UniFAR-FTUs huggingface dataset:
WOUND HEALING POTENTIAL OF ZIZIPHUS XYLOPYRUS WILLD. (RHAMNACEAE) STEM BARK ETHANOL EXTRACT USING IN VITRO AND IN VIVO MODEL

Ziziphus xylopyrus Willd. is reported for widely use in diarrhoea, chest pain and as an analgesic, anti-inflammatory and healing of wounds in folk medicine. The angiogenic activity of ethanolic extract of Z. xylopyrus Willd. stem bark was studied using chorioallantoic membrane (CAM) model ( in-vitro ) in 9 days old fertilized chick eggs. The extract found to promote angiogenesis as evidenced in CAM model, presenting increasing number of capillaries on the treated CAM surfaces, which might be beneficial in the treatment of wound healing. The wound healing activity of the test extract was also investigated using excision and incision wound model ( in-vivo ) in Swiss Albino rats. In excision wound model, the percent contraction of wound was found significantly higher in the ointment containing ethanolic extract of Z. xylopyrus Willd. stem bark (10 %) treated group compared to the control group. Linear incision by using tensiometer and circular excision wound models were evaluated on rats. In incision wound model, tensile strength of the healing tissue after treatment with the ointment containing Z. xylopyrus Willd. stem bark ethanolic extract (10 %) was found significantly higher than the control group ( p < 0.05), indicating the better wound healing activity. The results of histological examination supported the outcome of linear incision and excision wound model as well. The experimental data demonstrated that Z. xylopyrus Willd. stem bark extract displayed remarkable wound healing activity. KEY WORDS : Ziziphus xylopyrus Willd. ; chorioallantoic membrane model; angiogenesis; wound healing.
Labor division in household in China : change of trends between 1989 and 2006

With the rapid social and economic changes, gender roles, as seen inside and outside of households, have been changing in China. Traditionally, wives are responsible for the whole domestic activities inside households or unpaid work and husbands are responsible for the economic activities outside household or paid work. These earning and caring activities have undergone change in terms of their division in families. After considering the basis of social and economic change in families, this paper analyzes paid and unpaid work of women and men, based on the China Health and Nutrition Survey (CHNS) of 1989 and 2006. The focus is on gender as well as marital, parental and employment status over the life course. We also identify five models of the division of work: complementary-traditional, complementary-gender reversed, women’s double burden, men’s double burden, and collaborative (or shared roles). We will examine the change of each model with time and discuss the impact of the changes in broader society on this change inside households, such as equal opportunities and changing gender roles in the broader society. Finally, a multilevel model is used to examine the contributions of factors such as education and labor force participation to this change.
Report on passive acoustic analysis for marine mammals before and after the Submarine Commanders Course training exercise at PMRF Feb 16-19 , 2010

This report provides passive acoustic evidence of the presence of beaked and minke whales on the Pacific Missile Range Facility (PMRF) instrumented acoustic range (BSURE and BARSTUR) before and after the Feb 2010 Submarine Commanders Course training event (SCC). The effort focuses on these species utilizing automated species passive acoustic detection and classification algorithms. Manual verification of selected automatic detections was performed to confirm presence of the species under investigation. Results indicate presence of beaked whales (BW), suspected to be Blainville’s and Cuvier’s (Mesoplodon densirostris and Ziphius cavirostris respectively) and minke whales (Balaenoptera acutorostrata) before and after the SCC on the PMRF range. While data does show a lower number for the POST versus the PRE periods, it is not clear if the differences are due to the exercise or normal variations.
Data as a Language: A Novel Approach to Data Integration

In modern enterprises, both operational and organizational data is typically spread across multiple heterogeneous systems, databases and file systems. Recognizing the value of their data assets, companies and institutions construct data lakes, storing disparate datasets from dierent departments and systems. However, for those datasets to become useful, they need to be cleaned and integrated. Data can be well documented, structured and encoded in dierent schemata, but also unstructured with implicit, human-understandable semantics. Due to the sheer scale of the data itself but also the multitude of representations and schemata, data integration techniques need to scale without relying heavily on human labor. Existing integration approaches fail to address hidden semantics without human input or some form of ontology, making large scale integration a daunting task. The goal of my doctoral work is to devise scalable data integration methods, employing modern machine learning to exploit semantics and facilitate discovery of novel relationship types. In order to capture semantics with minimal human intervention, we propose a new approach which we call Data as a Language (DaaL). By leveraging embeddings from the Natural Language Processing (NLP) literature, DaaL aims at extracting semantics from structured and semi-structured data, allowing the exploration of relevance and similarity among dierent data sources. This paper discusses existing data integration mechanisms and elaborates on how NLP techniques can be used in data integration, alongside challenges and research directions.
mpact of Cache Voltage Scaling on Energy-Time Pareto Frontier in ulticore Systems

High performance computing centers need to keep up with the growing workload of varying computational characteristics. Due to their high computation rates, these computing systems consume vast amounts of energy with increasing electricity costs. As an approach to balancing computation demand with energy consumption, state-of-the-art dynamic voltage and frequency scaling (DVFS) methodologies are used for improving the energy efficiency of computing systems. However, these studies often do not explore the extent to which their solutions are close to theoretically optimal limits. This work formulates optimal boundaries for energy-time performance with a Linear Programming (LP) approach. The formulation utilizes per-core energy consumptions and execution times obtained during the profiling phase to optimize the voltage and frequency (V/F) level assignments at runtime. For each of the four benchmarks considered in this work, the optimized V/F assignments are used to bound Pareto frontiers, which trade off energy consumption and execution time. In particular, this work studies the impact of scaling the voltage and frequency of the cache subsystem in a multicore system on establishing the energy-time Pareto frontier. An unexpected result of our study is that when the frequencies of caches are not scaled with that of the cores (i.e., fixed at 2.0 GHz), the proposed LP-based technique improves the overall Energy-Delay-Product (EDP) as much as 35% compared to the traditional no-DVFS Pareto frontier. Furthermore, this work compares the performance of three heuristic-based energy-efficient DVFS algorithms to demonstrate the differences between heuristics performances and the LP-based optimal Pareto frontier. © 2018 Elsevier Inc. All rights reserved.
„ A Shape-Matching Algorithm for deep drawing applications "

To get a more precise description of the material behavior of automotive parts in crash scenarios it is important to take into account the production processes of the formed parts [10]. For this purpose different thickness and strain tensor data from the results of the stamping simulation have to be mapped to the car components. Typically different coordinate systems are being used for the stamping and the crash simulation. Also mesh sizes are different in stamping and crash applications. Before the necessary strain interpolation process can be started (*include stamped part), the stamped part and the crash part must be matched. For this purpose different algorithms from computer graphics programming have been compared and one algorithm (Iterative Closest Point) was implemented and tested on different configurations. The work was made by Markus Brüchle as his Diploma Thesis and supervised by Uli Göhner at the University of Applied Sciences Kempten.
Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression

In this work we present a novel approach to joint semantic localisation and scene understanding. Our work is motivated by the need for localisation algorithms which not only predict 6-DoF camera pose but also simultaneously recognise surrounding objects and estimate 3D geometry. Such capabilities are crucial for computer vision guided systems which interact with the environment: autonomous driving, augmented reality and robotics. In particular, we propose a two step procedure. During the first step we train a convolutional neural network to jointly predict per-pixel globally unique instance labels and corresponding local coordinates for each instance of a static object (e.g. a building). During the second step we obtain scene coordinates by combining object center coordinates and local coordinates and use them to perform 6-DoF camera pose estimation. We evaluate our approach on real world (CamVid-360) and artificial (SceneCity) autonomous driving datasets. We obtain smaller mean distance and angular errors than state-of-the-art 6-DoF pose estimation algorithms based on direct pose regression and pose estimation from scene coordinates on all datasets. Our contributions include: (i) a novel formulation of scene coordinate regression as two separate tasks of object instance recognition and local coordinate regression and a demonstration that our proposed solution allows to predict accurate 3D geometry of static objects and estimate 6-DoF pose of camera on (ii) maps larger by several orders of magnitude than previously attempted by scene coordinate regression methods, as well as on (iii) lightweight, approximate 3D maps built from 3D primitives such as building-aligned cuboids.
Title : Mapping factors of low efficiency of studying in higher education in Serbia

This paper provides analysis on how teachers and students of 5 universities in Serbia (Belgrade, Novi Sad, Nis, and Kragujevac) perceive problems with efficiency of studying, with respect to the new, “Bologna” organisation of studies. The empirical foundation for this paper is composed of questionnaires distributed to students and teachers of the five aforementioned institutions and a semi-structured in-depth interview with students and teachers of the two faculties of the University of Belgrade. The results presented point to key factors affecting efficiency of studying, as well as structural changes in power relations between different social actors.
Nanotoxicology : A Safety Evaluation of Nanomaterials Silver

Overview Nanomaterials are incorporated into various categories of consumer products, including cosmetics, textiles, electronics, food and medicines. The increase in demand of nanomaterials in these manufacturers is leading to the increase in their bulk production. Thus, safety of these materials to human health and the environment becomes concerning issues. Because of their very small size and higher surface area per mass, nanomaterials often behave differently from their bulk counterparts. Most of them have greater chemical and biological activities as well as toxicological effects. The term of nanotoxicology, therefore, has been emerged. Additionally, nanomaterials can be internalized into the cells of living organisms in which they might interact with the intracellular components. This work collected some studies on toxicological effects of three high frequent used nanomaterials including silver, titanium dioxide and carbon nanotubes. Rawiwan Maniratanachote National Nanotechnology Center, National Science and Technology Development Agency, Thailand Nanotoxicology: A Safety Evaluation of Nanomaterials
Sunflower grains or protected fat in high concentrate diets and compensatory gain for feedlot lambs

The effects of three diets and two feeding managements were assessed on feedlot lamb performance and carcass. Thirty six lambs with initial 18.7 ± 2.4 kg weight were distributed in a randomized complete block design in a 3 × 2 factorial arrangement and were fed a free-lipid diet, and a sunflower grains-added diet or a protected fat-added diet. Six lambs on each diet were submitted to feeding restriction management and later compensatory gain, while the other half was fed ad libitum throughout the feedlot period. Dry matter intake, weight gain and feed conversion ratio, urea and blood cholesterol, carcass characteristics and slaughter by-products were evaluated. During realimentation period the intake of lambs that underwent feeding restriction did not differ from the freely-fed animals. It was not affected by the diet but at the end of this period, the accumulated intake was 11.8% smaller for those lambs previously submitted to feeding restriction. Feed intake to slaughter weight was not influenced by the feeding management. In the restriction period, the blood cholesterol levels were 24% higher than those without restriction, but there was no difference during the realimentation period. The lipids in the diets increased the cholesterol blood levels in both the restriction and realimentation periods and reduced urea blood levels during the realimentation period. The performance, evaluated at slaughter weight, was damaged by the restriction management. There were no effects of feeding management or diet on the carcass parameters. Lipid sources increased the total fat proportion and decreased the gastrointestinal tract content. The feeding management with restriction damages weight gain and feed conversion ratio in lambs up to slaughter.
Chapter 10 OCEAN DATA ASSIMILATION USING SEQUENTIAL METHODS BASED ON THE KALMAN FILTER From theory to practical implementations

The main purpose of this chapter is to review the fundamentals of the Kalman Filter for ocean data assimilation and to expose the basic ingredients of practical assimilation algorithms developed for applied ocean research and operational forecasting, focusing mainly on high-resolution applications. Important implementation issues such as the reduction in dimensionality of the estimation problem, the simplification of the schemes based on static error covariances, the formulation of low-rank filters, the problem of consistency verification, and the concepts of adaptivity and incremental analysis updating will be addressed using scientific and operational examples. Finally, the discussion will conclude with a number of key questions related to the assimilation challenges of
Asynchronous Virtual Classroom-Agent-Based Reusable Learning Environment -

A shift from the face-to-face lectures performed conventionally in universities to the remote ones using the computers and networks has occurred in recent years, especially in the last decade in 20th century. This means that the lecture halls are no longer restricted with time and space. Such anytime/anywhere virtual learning spaces, however, may produce contrary effects of sparse communications among participants. Therefore, the designer who designs an asynchronous virtual learning environment should promote the chance to communicate in it. AVC, which stands for Asynchronous Virtual Classroom, uses a video with simultaneous slides and advice as main learning materials, asynchronous communication for collaboration, and a lecture notebook for individual/shared annotation. The AVC system accumulates and manages each participant's actions and interactions in order to reuse them for subsequent learners. In this way, AVC system encourages both individual and collaborative learning.
A STUDY ON IMPACT OF PERFORMANCE APPRAISAL ON EMPLOYEE SATISFACTION IN IT SECTOR

Research Methodology: To achieve the set objectives, the study used a mixed-methods research design to collect requisite data, which allowed it to collect both qualitative and quantitative data. A survey was floated between 12 November to 18November, 2015 and 112 responses were received. Whereas quantitative data were analysed using Statistical Package for Social Science (SPSS), qualitative data were subjected to content analysis.
Review on Elements of JIT Implementation

This article reviewed the elements of Just-InTime (JIT) implementation in automotive industry. JIT is considered as one of the most effective management system in manufacturing since it has been introduced. By implementing JIT, Toyota has become world best manufacturer. Based on Toyota Production System (TPS), there are three elements should be considered in order to implement JIT. But, as many companies all over the world are trying to implement JIT, the implementation elements have been varies. This paper discuss in details of elements that are important in implementing JIT. The article ended by concluding the top crucial elements that being frequently mentioned in literature as it is important to implement JIT in a desired company. Keywords—Just-In-Time implementation, elements in Just-InTime, automotive manufacturing system, pull system.
Anatomy of a Building Introducing interactive RGB lenses for architectural data visualization

The paper proposes an alternative way to present architectural information, using color filters - specifically RGB lenses - as an interface to emphasize or reveal the internal structure or hidden logic of an architectural artifact. In an interplay of analogue and digital techniques, it employs rules of color blocking in order to highlight certain aspects of complex buildings, urban plans, or interiors, which cannot be discovered using conventional visualization methods. In this research, the authors developed an interactive RGB lens-interface and techniques for superimposed color visualizations that can be used for an enhanced visualization of the internal structure of a building. By applying physical or digital color lenses, viewers can perceive individual layers of project visualizations, in order to understand certain tectonic or construction logics, such as skin, structure or infrastructure. Based on existing bibliography, the paper presents the workflow from drawing, 3D model or photograph to RGB visualization, through a series of test case scenarios applicable to the field of architecture and design.
Anomaly Prediction Based on Machine Learning for Memory-Constrained Devices

This paper proposes an anomaly prediction method based on k-means clustering that assumes embedded devices with memory constraints. With this method, by checking control system behavior in detail using k-means clustering, it is possible to predict anomalies. However, continuing clustering is difficult because data accumulate in memory similar to existing k-means clustering method, which is problematic for embedded devices with low memory capacity. Therefore, we also propose k-means clustering to continue clustering for infinite stream data. The proposed k-means clustering method is based on online k-means clustering of sequential processing. The proposed k-means clustering method only stores data required for anomaly prediction and releases other data from memory. Due to these characteristics, the proposed k-means clustering realizes that anomaly prediction is performed by reducing memory consumption. Experiments were performed with actual data of control system for anomaly prediction. Experimental results show that the proposed anomaly prediction method can predict anomaly, and the proposed k-means clustering can predict anomalies similar to standard k-means clustering while reducing memory consumption. Moreover, the proposed k-means clustering demonstrates better results of anomaly prediction than existing online k-means clustering. key words: anomaly prediction, k-means clustering, online k-means clustering
Antibioticoterapia em Crianças com Pneumonia Antibioticoterapia em Crianças com Pneumonia Antibioticoterapia em Crianças com Pneumonia Antibioticoterapia em Crianças com Pneumonia Antibioticoterapia em Crianças com Pneumonia Therapy with Antibiotics in Childhood Pneumonia

Pneumonia e responsavel por elevadas taxas de hospitalizacao e obito na faixa etaria pediatrica, especialmente em criancas menores de cinco anos. Um grande numero de microorganismos pode causar pneumonia na infância; no entanto, ha nitido predominio dos agentes bacterianos, principalmente do Streptococcus pneumoniae, entre os casos fatais. A terapia antimicrobiana e, portanto, um importante meio de controle da mortalidade por pneumonia, sendo habitualmente iniciada de forma empirica, de acordo com a idade e a gravidade do paciente. Os antibioticos utilizados incluem amoxicilina, amoxicilina-acido clavulânico, eritromicina, cefuroxime-axetil, penicilina cristalina, ampicilina, oxacilina, cefotaxime, ceftriaxona, cloranfenicol, vancomicina e aminoglicosideos, conforme indicacao especifica. Palavras-chave: pneumonia, Streptococcus pneumoniae, penicilina, tratamento. In childhood, great rates of morbidity and mortality are attributable to pneumonia, especially among children aged less than five years. A great number of infectious agents can cause childhood pneumonia; nevertheless, the bacterial agents, mainly Streptococcus pneumoniae, are frequent among fatal cases. The antibacterial therapy is an important tool to control death due to pneumonia, and it is usually started empirically, in accordance with age and severity. The antibiotics used are amoxicillin, amoxicillin-clavulanate, erythromycin, cefuroxime-axetil,
Antarctic strain of green filamentous alga Zygnema sp . shows a high resistance to photoinhibition under simulated polar conditions

This study deals with treatment-dependent differences in sensitivity of Antarctic filamentous alga Zygnema sp. to photoinhibition. Zygnema sp. (strain EEL201) was collected at the James Ross Island, Antarctica (57° 52 ́ 57 ́ ́ W, 63° 48 ́ 02 ́ ́ S). In a laboratory, the alga was cultivated on agar first and then innoculated to liquid medium. They were exposed to a short-term (30 min.) high light (HL) treatments. Particular treatments comprised 600, 1 400 and 2 100 and 3 500 μmol m s of photosynthetically active radiation (PAR). Photosynthetic efficiency of Zygnema sp. in individual HL treatments was monitored by chlorophyll fluorescence parameters, potential (FV/FM) and actual (PSII) quantum yield of photochemical processes in photosystem II in particular. Zygnema sp. showed a high resistance to HL since it both chlorophyll fluorescence parameters recovered to about 70% of initial values after 4 h in dark. Chlorophyll fluorescence measured immediately after particular treatment, showed HL-dependent decrease in absolute values of chlorophyll fluorescence signal and consequent uncompleted recovery as well. Quenching of F0, an indicator of changes in light-harvesting complexes of photosystem II, did not show dose-dependent response, however, general trend was a decrease found immediately HL treatment with consequent uncompleated recovery. In general, Zygnema sp. exhibited high resistance to PAR doses that the species can whitness in the field during austral summer. Thus the species could be considered highly adapted for high light and has effective mechanisms to cope with photoinhibition. Involvement of particular photoprotective mechanism, their activation and share in natural environment is a topic for future studies.