Miracle-dz/UniFAR-FTUs huggingface dataset:
“ Radioactivity in the Marine Environment and in Fisheries Products during the Five Years after the Fukushima Dai-ichi Nuclear Power Plant Accident Long-term Distribution of Radioactive Cesium in the Coastal Seawater and Sediments of Japan

A radioactivity survey was launched in 1983 to determine background levels of artifi cial radionuclides such as 90Sr and 137Cs in marine environments offshore of nuclear power stations throughout Japan and one nuclear fuel reprocessing plant. In addition, an environmental radioactivity monitoring study, with a particular focus on the waters off Fukushima and nearby prefectures, was initiated shortly after the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident. Here, we report on spatiotemporal changes of radiocesium in the waters off FDNPP, as well as on long-term (>30-year) temporal changes in radionuclides in the marine environment off the nuclear power stations and the fuel reprocessing facility. We determined that 137Cs concentrations decreased over the period 1983–2010, with the exception of a spike corresponding to the Chernobyl nuclear accident in 1986. Levels of radiocesium prior to the FDNPP accident (2006–2010) indicated that 137Cs concentrations ranged from 1.3 to 2.5 mBq/L (mean: 1.6 mBq/L). Post-accident monitoring revealed a heavy burden of artifi cial radionuclides in Japanese coastal areas, as 137Cs concentrations in surface seawaters of the northwestern North Pacifi c Ocean increased markedly. On the other hand, concentrations of 134Cs, which has a short half-life (around 2 years), decreased sharply due to seawater dispersion by coastal currents. Although concentrations of 137Cs in coastal seawater within 10 km of FDNPP remained high even 5 years after the FDNPP accident, concentrations in seawater >30 km from FDNPP have almost returned to background values. Concentrations of 137Cs in sediments declined slightly over the period 1983–2010, but maximum values were observed at all monitoring stations near the FDNPP in September 2011 (8.0–580 Bq/kg-dry), several months after the accident; almost all concentrations exceeded pre-accident 5-year averages (2.1 Bq/kg-dry) for Japanese coastal regions. However, fi ve years of monitoring after the accident reveal a trend of exponential decline.
FeedMixer Web Application for Animal Feed Formulation

Feed formulation is the process of quantifying the amounts of feed ingredients that need to be combined to form a single uniform mixture (diet) for poultry that supplies all of their nutrient requirements. In local farming, farmers are so used with the conventional method of animal feeding by buying the commercial feeds from supplier. However, feed represents the major cost of poultry production, constituting up to 70% of the total. Therefore, feed formulation concept comes up to deal with the high production cost and variety food issues. Our FeedMixer Web Application is developed to help the farmers to calculate the least possible cost of feed formulation by comparing the ingredient price between suppliers. Besides, FeedMixer is able to help farmers to utilize the budget by calculating the maximum amount of feeds can be produced within the budget and maximum number of feeding days of the animals. In conclusion, FeedMixer is able to help farmers to lower down the production cost and at the same time to maintain a good livestock production. Key-Words: Feed formulation, budgeting feed, animal feed, feed application
Teachers Related Factors that Influence Secondary School Teachers Job Satisfaction Levels in Public Secondary Schools in Mombasa District , Kenya

Job satisfaction has been linked to various teacher’s characteristics including commitment, absenteeism, turnover, efficiency and productivity. A Job satisfaction level among teachers has been low due to many factors. The purpose of this study was to investigate teacher related factors that influence job satisfaction levels in public secondary schools in Mombasa District of Kenya. The study used a descriptive research design. The study was undertaken in 35 public secondary schools using a sample of 320 teachers which was selected using stratified random sampling technique. Data were collected using questionnaires. Data were analyzed using inferential statistics. Hypotheses were tested at alpha level of 0.05. Results of the hypotheses indicated that there was no significant relationship between job satisfaction of teachers and the demographic variables of gender, age, marital status, academic qualification and professional grade. Significant relationship was found between job satisfaction levels and variables of age and teaching experience. Multiple regression analysis revealed that age and teaching experience were the best predictors of teacher’s job satisfaction.
How to Register a VGOS Radio Telescope at ITU and Why It Is Important

VGOS radio telescopes enable observations in the range of 2–14 GHz and are much more recep-tive for unwanted radio frequency interference. Some spaceborne transmitters may cause detrimental radiation to VGOS receivers. The registration of new VGOS sites at ITU is important for obtaining administrative protection. This may help to avoid direct illumination by strong radars. This paper introduces the risk of damage and explains the registration procedure.
Circular Convolutional Neural Networks for Panoramic Images and Laser Data

Circular Convolutional Neural Networks (CCNN) are an easy to use alternative to CNNs for input data with wrap-around structure like 360°images and multi-layer laserscans. Although circular convolutions have been used in neural networks before, a detailed description and analysis is still missing. This paper closes this gap by defining circular convolutional and circular transposed convolutional layers as the replacement of their linear counterparts, and by identifying pros and cons of applying CCNNs. We experimentally evaluate their properties using a circular MNIST classification and a Velodyne laserscanner segmentation dataset. For the latter, we replace the convolutional layers in two state-of-the-art networks with the proposed circular convolutional layers. Compared to the standard CNNs, the resulting CCNNs show improved recognition rates in image border areas. This is essential to prevent blind spots in the environmental perception. Further, we present and evaluate how weight transfer can be used to obtain a CCNN from an available, readily trained CNN. Compared to alternative approaches (e.g. input padding), our experiments show benefits of CCNNs and transfered CCNNs regarding simplicity of usage (once the layer implementations are available), performance and runtime for training and inference. Implementations for Keras with Tensorflow are provided online22Open source code for Circular Convolutional and Transposed Convolutional Layers and MNIST example in Keras with Tensorflow: http://www.tu-chemnitz.de/etit/proaut/ccnn.
Wealth Shocks and Macroeconomic Dynamics 1

The effect of wealth on consumption is an issue of longstanding interest to economists. Conventional wisdom suggests that fluctuations in household wealth have driven major swings in economic activity. This article considers so-called consumption wealth effects. There is an extensive existing literature on wealth effects that has yielded some insights. For example, research has documented the average historical relationship between aggregate household wealth and aggregate consumption, and a large number of household-level studies suggest that wealth effects are larger for households facing credit constraints. However, there are also many unresolved issues regarding the influence of household wealth on consumption. We review the most important of these issues and argue that there is a need for much more research in these areas as well as better data sources for conducting such analysis.
Identification of Single Nucleotide Polymorphism and Restriction Enzyme in FASN and CAPN-1 Genes in Ongole Grade cattle

FASN have responsible for the activity of FASN enzymes and fatty acid synthesis. CAPN-1 gene is the primary enzyme in the postmortem tenderization process. This study aims to identify Single Nucleotide Polymorphism (SNP) FASN and CAPN-1 genes, and restriction enzymes that will be used in determining animal genotype. Thirty-eight meat samples from 22 Ongole Grade cattle slaughter in Giwangan slaughter house and 16 Kebumen Ongole Grade cattle were collected in Kebumen slaughter house. The samples were analyzed using the PCR method and sequencing for SNP identification. Two SNPs of FASN were detected in intron region (g.17066 G>A and g.17104 T>C) by direct sequencing. Restriction enzyme FatI has been identified to digest FASN gene target in the SNP g.17104T>C. However, no enzyme detected in SNP g.17066 G>A of FASN gene. Nine SNPs was detected with GenBank’s alignments (g.16838G>A, g.16844G>C, g.16986G>A, g.17058C>A, g.17091G>A, g.17100G>A, g.17104T>C, g.17194C>A, g.17195C>A). Using direct sequencing, the CAPN-1 gene was revealed three synonymous polymorphism (g.4481A>G, g.4519C>A, which located in intron 4 and g.4631T>C which located in intron 5) and one non-synonymous polymorphism (g.4554C>T) located in exon 4. Only one SNP detected (g.4732T>G) with GenBank’s alignment. The AciI and FauI for SNP g.4481A>G, MnlI and BccI for SNP g.4519C>A, and Sau3AI, MboI, DpnII, DpnI, and BclI restriction enzyme could digest the SNP g.4554C>T. In conclusion, the identified the SNPs could be utilized for genotyping of Ongole Grade and Kebumen Ongole Grade cattle for future studies
Chapter 10 Sequence models and lexical resources for MWE identification in French

We present a simple and efficient sequence tagger capable of identifying continuous multiword expressions (MWEs) of several categories in French texts. It is based on conditional random fields (CRF), using as features local context information such as previous and next word lemmas and parts of speech. We show that this approach can obtain results that, in some cases, approach more sophisticated parser-based MWE identification methods without requiring syntactic trees from a treebank. Moreover, we study how well the CRF can take into account external information coming from both high-quality hand-crafted lexicons and MWE lists automatically obtained from large monolingual corpora. Results indicate that external information systematically helps improving the tagger’s performance, compensating for the limited amount of training data.
Introducing In-Frame Shear Constraints for Monocular Motion Segmentation

In this thesis, the problem of motion segmentation is discussed. The aim of motion segmentation is to decompose a video into different objects that move through the sequence. In many computer vision pipelines, this is an important, middle step. It is essential in several applications like robotics, visual surveillance and traffic monitoring. While,there is already a vast amount of literature on the topic, the performance of all thus-far proposed algorithms are far behind human perception. This thesis starts of with a formal introduction to the problem. Then, it proceeds to explain the main approaches proposed to the problem, along with their advantages, and shortcomings. Finally, the proposed algorithm, that forms the keystone of this thesis, is introduced and fully-fleshed out, giving motivation for the structure and the various parts of the algorithm. In addition, the traditional comparison is given with the other-proposed state-of-the art algorithms. We do so, on the standard benchmark Hopkins-155 dataset, as well as a new dataset, compiled from video sequences from the publically available, KITTI dataset, the Versailles-Rond sequence taken from [] and several sequences taken around the IIIT Hyderabad campus. The sequences in the dataset, consist of video footage taken from a singlecamera mounted on the front of a car. The dataset is far more realistic and challenging than the Hopkins dataset, and provides a more rigorous assessment for both the proposed algorithm, as well as other state-of-the-art algorithms in motion segmentation. This dataset is hereby referred to as the On-Road dataset. On the Hopkins-155, our algorithm achieves near state-of-the-art performance, while performing substantially better on the On-Road dataset, showing that the proposed algorithm, has superior performance in realistic scenarios.
STABILITY ANALYSIS AND MOLECULAR EVALUATION NEW GARDEN PEA GENOTYPES IN EGYPT

Thirteen new promising lines in addition to two commercial cultivars of garden pea (Pisum sativum L.) were evaluated under six environments in Lower Egypt (two seasons of 2013/2014 and 2014/2015, and three locations). Data were recorded for plant length, no. of days to flowering, pod length, pod weight, no. of seeds/pod, 100-seeds weight, shelling percentage and total green yield. The linear response of genotypes to environments was highly significant for all studied traits. The mean squares due to Environment + (Genotypes × Environment) was significant for all studied traits. The results of stability analysis indicated that the genotypes G1, G5, G6 and G13, most stable genotypes, gave the maximum total green yield overall the six studied environments and were adapted to environments for total green yield and most studied traits. Also, the genotype G10 can be considered promising line as early and short stem length cultivar due to its performance and stability for total green yield and most studied traits. The genetic similarity coefficients among garden pea genotypes evaluated by SCOT markers varied from 68.4% to 99.6%, indicating high level of genetic diversity existing among the pea genotypes which could be valuable for pea breeding in the future. The dendrogram generated with hierarchical UPGMA (Un-weighted Pair Group Method with Arithmetic Averages) cluster analysis of the Jaccard's similarity coefficient matrices revealed two major clusters.
THE RELATIONSHIP BETWEEN CROSS SECTIONAL AREAS OF TRUNK AND THIGH MUSCLES AND CROSS-DIRECTIONAL DIFFERENCE OF SPRINT TIME ALONG A CURVE 1

INTRODUCTION Morphological characteristics of muscles were affec ted by the specific and continuous training programs of co mpetitive sports. Track and field athletes repetitively exer cise on counter-clockwise curvilinear running in their dail y training. These training would cause the morphological characteristics of the muscles of track and field a thletes to adapt for the specific purpose. Therefore, sprint along a counter-clockwise curve would be preferable than cl ockwise for these athletes. The purpose of this study was to investigate whether bilateral difference of cross s ectional area (CSA) of trunk and thigh muscles related to th e curvilinear sprint time in track and field athletes .
A product-of-exponential-based robot calibration method with optimal measurement configurations

This article presents a systematic and practical calibration method for an industrial robot to improve its absolute accuracy. The forward kinematics is established based on the global product-of-exponential formula considering some practical constraints. An enhanced partial pose measurement technique is used to construct the linearized error model with only position measurement. All the kinematic parameters are identified via the linear least-squared iteration. The end effector errors are compensated by an inverse Jacobian iteration algorithm in the robot joint space. To suppress the influences of the measurement error, an improved sequential forward floating search algorithm is proposed to select an optimal subset of configurations from a large pool of measured poses based on the D-Optimality. The proposed algorithm is verified via simulations. The calibration method is validated by experiments on an industrial robot, showing that the absolute accuracy of the robot is improved about 10 times under a statistics sense after the calibration.
Exemplary Achievements SC 2 challenges : when Satisfiability Checking and Symbolic Computation join forces

Symbolic Computation and Satisfiability Checking are two research areas, both having their individual scientific focus but with common interests, e.g., in the development, implementation and application of decision procedures for arithmetic theories. Despite their commonalities, the two communities are rather weakly connected. The aim of the SC initiative is to strengthen the connection between these communities by creating common platforms, initiating interaction and exchange, identifying common challenges, and developing a common roadmap from theory along the way to tools and (industrial) applications.
Effect and mechanism of pulmonary infection on immune function and renin-angiotensin-aldosterone system in patients with severe acute pancreatitis

Objective: To explore the effect and mechanism of pulmonary infection on immune function and reninangiotensin-aldosterone system (RAAS) in patients with severe acute pancreatitis (SAP). Methods: The clinical data of patients with SAP admitted to the Affiliated Yantai Yuhuangding Hospital of Qingdao University from January 2016 to March 2018 were selected for retrospective analysis and randomized into the control group (n=64) and the pulmonary infection group (n=58) according to the presence or absence of pulmonary infection. In two groups of patients, serum levels of interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), c-reactive protein (CRP), procalcitonin (PCT), interleukin-17 (IL-17), interleukin-23 (IL-23), angiotensin-I (Ang-I), angiotensin-II (Ang-II), renin (REN), aldosterone (ALD) were detected with enzyme-linked immunosorbent assay while the expression of Toll-like receptor 4 (TLR4) in peripheral blood mononuclear cells was measured using Western blot. Results: There was no statistical difference in the general data in two groups of patients (P>0.05). Compared with those in the control group, patients in the pulmonary infection group had higher levels of serum IL-1β, IL-6, TNF-α, CRP, PCT, IL-17, IL-23, Ang-I, Ang-II, REN and ALD (all P<0.05), and higher expression of TLR4 in mononuclear cells (P<0.001). Conclusion: RAAS can be activated and inflammatory responses be aggravated in SAP patients complicated with pulmonary infection, which may be related to the activation of TLR4/IL-23/IL-17 signaling pathway.
Effect of Phyllanthus amarus extract on antioxidant and lipid metabolism gene expression in HepG 2 cells

Phyllanthus amarus (PA) is used for treatment of se veral diseases such as liver disease, hyperlipidemi a and diabetes mellitus in Thai traditional medicine and worldwide . Oxidative stress plays a major role in the pathog enesis of degenerative diseases induced by free radicals such as hyperlipidemia, diabetes mellitus and cardiovas cular disease. So the effect of PA extract (PAE) on anti oxidant and lipid metabolism gene expression in Hep G2 cells was studied. We found that PAE possessed high levels of total phenolic contents and total antioxidants wit hin the range 379.3 ± 7.0 gallic acid equivalents mM/kg dry mass nd 11,079.2 ± 336.0 Trolox equivalents mM/kg dry m ass using Folin Ciocalteu phenol (FCP) assay and oxygen radic l absorbance capacity (ORAC) assay, respectively. PAE at high doses (2,000-3,000 mg/L) induced cytotoxicity according to the neutral red assay. However PAE dos es of 100800 mg/L could reduce intracellular oxidative stress in a dose-dependent manner (P<0.05) using dichlorodihydrofluorescein diacetate (DCFH-DA) assay. PAE significantly enhanced antioxidant acti vity by induction of GPX1 gene and Nrf2 gene but decreased Nrf1 gene expression, and reduced cholesterol synth esis by induction of LDLR gene and PPAR γ gene expression using reverse transcription-polyme rase chain reaction (RTPCR) assay. It is suggested that PAE may be beneficial f or reducing oxidative stress, decrease cholesterol synthesis thereby maintaining overall cellular homeostasis.
Stable Coalition Structures: Characterizations and Applications of Hart and Kurz's Four Stability Concepts

Hart and Kurz (1983) introduced four stability concepts, called α-, β-, γ-, and δ-stability. In contrast to the intensive studies on their conceptual aspects, these notions have rarely been adopted to analyze stable coalition structures in an application because the definitions consist of multiple intermediate steps. The purpose of this paper is to solve these practical difficulties. We provide an explicit form for each of the four stability concepts and reformulate each concept without using any intermediate steps. Moreover, we offer some sufficient conditions that guarantee the existence of stable coalition structures and the inclusion relation among the four stability notions. In addition, we propose a new approach to characterize the notions of stability. An application of our results to Cournot oligopoly is also provided.
2 . 1 Constructing Half Open Cones

The computation of the tropical prevariety is the first step in the application of polyhedral methods to compute positive dimensional solution sets of polynomial systems. In particular, pretropisms are candidate leading exponents for the power series developments of the solutions. The computation of the power series may start as soon as one pretropism is available, so our parallel computation of the tropical prevariety has an application in a pipelined solver. We present a parallel implementation of dynamic enumeration. Our first distributed memory implementation with forked processes achieved good speedups, but quite often resulted in large variations in the execution times of the processes. The shared memory multithreaded version applies work stealing to reduce the variability of the run time. Our implementation applies the thread safe Parma Polyhedral Library (PPL), in exact arithmetic with the GNU Multiprecision Arithmetic Library (GMP), aided by the fast memory allocations of TCMalloc. Our parallel implementation is capable of computing the tropical prevariety of the cyclic 16-roots problem. We also report on computational experiments on the n-body and n-vortex problems; our computational results compare favorably with Gfan.
THE EFFICACY OF COURT-TYPE THAI TRADITIONAL MASSAGE ON KNEE PAIN RELIEF IN OSTEOARTHRITIS PATIENTS

Osteoarthritis (OA) is the most common degenerative joint disorder, resulting in significant mobility and health care expenses. It affects more than 60% of Western World adults over the age of 65 years. Moreover; it causes pain and dysfunction in 20 % of elderly persons. Objective: To assess the efficacy of the court-type Thai traditional massage on knee pain relief in patients with osteoarthritis. Materials and methods: This study was a phase II clinical research at Applied Thai Traditional Medical Service Center, Phon Hospital, Khon Kaen province. Thirty patients with osteoarthitis of the knee, aged 50-65 years, voluntary participated in the study. Each of them was treated with the court-type Thai traditional massage once a week for twelve weeks at the hospital. The treatment was assessed before the first week and after the twelfth week using VAS, timed up – and – go test, active knee range of motion. Dependent samples t-test was used as statistical analysis. The results showed that knee pain of the patients was reduced significantly after twelve weeks of the treatment. The patients were able to walk faster after the treatment with having better quality of life. There was no side effect found within the study period.