Miracle-dz/UniFAR-FTUs huggingface dataset:
Response and Economic Indices of Broilers on Low Crude Protein Diets Fortified with Lysine

Aims: This study is to evaluate the growth performance, flock uniformity, feather weight, carcass characteristics and economic indices of broilers fed low protein diets fortified with synthetic lysine. Study Design: All data generated were subjected to analysis of variance in a complete randomized design. Place and Duration: The experiment was carried out at the Teaching and Research Farm of the Ladoke Akintola University of Technology, Ogbomoso, Nigeria, between November and December 2014. Methodology: One hundred and eighty unsexed Abor Acres strain day old broiler chicks were used in a seven-week feeding trial. Five experimental diets were formulated. Diets 1 and 2 were negative and positive control respectively with 22.23% crude protein while diets 3, 4 and 5 contained 18.2% each at the starter phase and 17.8% at the finisher phase. They all had recommended level of methionine with varying levels of synthetic lysine inclusion ranging from 0.40% in diet 1 to 0.65% in diet 5 at the starter phase and 0.40 to 0.60% at the finisher phase. Original Research Article Ojediran et al.; AJEA, 10(4): 1-7, 2016; Article no.AJEA. 22243 2 Results: The result indicated that birds on diet 3 with 18.26% crude protein (CP) and high lysine inclusion had a higher (P<0.05) daily gain and least feed to gain ratio at the starter phase, although, the birds on low protein diets had a numerical increase in feed intake but weight gain decreased as the lysine inclusion increased beyond diet 3. The fortification with lysine resulted in a least cost input but an increased profit, economic efficiency of growth, live weight and thigh. Conclusion: From this study, the objective of the poultry farmer to achieve optimum production with least input is possible using a low crude protein diet supplemented with lysine. This will result in increased profit, economic efficiency of growth, live weight and thigh size.
Assessing user specifications of robot behaviour for material transport tasks

Robots are an established component of many existing manufacturing processes. In the majority of cases, these robots operate in segregated areas, separated from human workers. However, as robots’ capabilities in sensing and autonomy improve, they are expected to increasingly operate in human environments, and interact with novice, untrained users. When robots operate in human or shared environments, their tasks and behaviours need to be specified. This is typically performed by a human operator or supervisor, who may specify constraints on robot behaviour to make the robot more predictable or align its behaviour with user expectations. However, these constraints may impact robot task performance. This thesis develops a user interface to obtain robot specifications, and proposes metrics for quantifying the specification quality, and to investigate how users create robot specifications. The metrics relate the robot’s performance in the specified environment to its performance in a fully-unconstrained environment, and capture the trade-offs that users make in ensuring that the robot accomplishes its tasks while minimizing the loss of performance. The proposed approach is evaluated in a series of user studies. The first user study sought to understand how novice users provide specifications for an autonomous robot operating in a shared warehouse environment, and to validate the metrics by applying them to user-created specifications. The metrics were then modified based on the results of the pilot study, and employed in a second, larger study. The second study trialed a modified interface and interaction scheme that implemented an interactive preference learning system, aimed at modifying specifications to improve robot performance. The modified metrics were then used to assess the quality of specifications following the preference learning system. The two studies show that inexperienced users create a wide variety of behaviourlimiting specifications, and that they generally have difficulty creating efficient specifications, or assessing their own performance. Furthermore, the preference learning process succeeds in improving specification quality by making them more efficient and more similar between different users. Moreover, users that created specifications of worse initial quality benefit the most from the interactive learning process, as those specifications see a larger improvement.
OTT_A_223422 7067..7077

Department of Oncology, Liaocheng People’s Hospital, Liaocheng City, Shandong Province 252000, People’s Republic of China Purpose: Src homology 2-containing inositol 5-phosphatase 2 (SHIP2) gene is associated with arthrosclerosis, gastric cancer and diabetes. In this study, we revealed that overexpression of SHIP2 is closely implicated with the development of breast cancer (BC). Methods: The BC tissue and adjacent cancerous tissue were obtained from BC patients who had underwent mastectomy. BC cells with either overexpression or knockdown of SHIP2 were analyzed to determine cell proliferation, migration, invasion and apoptosis using the CCK-8 assay, colony formation assay, scratch assay, transwell assay and flow cytometry, respectively. A rat BC xenograft model was constructed to explore the role of SHIP2 on tumor growth in vivo. Results: The expression levels of SHIP2 in BC tissues and cells were significantly higher than those in adjacent tissues and normal breast cells, respectively. Silencing SHIP2 suppressed BC cells proliferation and promoted apoptosis. Overexpression of SHIP2 enhanced the cells migration/invasion in BC. Moreover, SHIP2 participated in the Wnt/β-catenin pathway by regulating GSK-3β and its downstream genes. β-Catenin activator LiCl could significantly eliminate the effect of si-SHIP2 on BC cells. Moreover, overexpression of SHIP2 increased tumor volume and weight in rat model, and Wnt/β-catenin pathway inhibitor ICG001 reversed the promoting effect of SHIP2 on tumorigenesis. Conclusion: Upregulation of SHIP2 could increase the migration, invasion, proliferation, and decrease apoptosis in BC cells. Moreover, SHIP2 participated in the progression of BC via activating the Wnt/β-catenin pathway.
Effect of Curcumin and Nano-curcumin on Reduce Aluminum Toxicity in Rats

Aluminum is a ubiquitous toxic metal that mainly affects brain, bone, spleen, liver, kidney, hepatic hematopoietic system. This study investigated the effect of Curcumin and Curcumin Nanoparticles on reduced the toxicity of aluminum chloride in treated rats. Six groups of rats were used: (1) control; (2) curcumin-treated rats (15 mg curcumin /Kg BW; (3) Nano-curcumin -treated rats (15 mg Nano-curcumin /Kg BW); (4) aluminum chloride-treated rats (100 mg/kg BW); (5) AlCl3- curcumin-treated rats (100 mg AlCl3 and 15 mg curcumin/kg BW); (6) AlCl3- Nano-curcumin -treated rats (100 mg AlCl3 and 15 mg Nano-curcumin /kg BW). The treatment with AlCl3 alone caused significant (P≤ 0.05) increased in liver and kidney functions of rats, while the oral intake of curcumin and Nano-curcumin eliminate the harmful effect of AlCl3. On the same side, the treatment with AlCl3 alone significantly (P≤ 0.05) increase the free radical level and decreased the activities of antioxidant enzymes in plasma, while the treatment with curcumin and Nano-curcumin reduced this increased in free radicals and increased the activities of antioxidant enzymes. These results confirmed that the curcumin and Nano-curcumin reduced the toxicity effect of AlCl3 in rats; moreover, Nano-curcumin has a best biological and antioxidant activity than curcumin in healthy and AlCl3-treated rats.
ATP effects on response of human erythrocyte membrane to high pressure

Phosphorylation of membrane proteins in human erythrocytes is mediated by intracellular ATP levels. Such phosphorylation modulates the interactions of the bilayer with the cytoskeleton and affects the membrane stability under high pressure. In erythrocytes with high intracellular ATP levels, the bilayer-cytoskeleton interaction was weakened. Compression of such erythrocytes induced the release of large vesicles due to the suppression of fragmentation and resulted in the enhanced hemolysis. On the other hand, in ATP-depleted erythrocytes the interaction between the bilayer and the cytoskeleton was strengthened. Upon compression of these erythrocytes, the release of small vesicles due to the facilitation of vesiculation resulted in suppression of hemolysis. Taken together, these results suggest that the responses, i.e., vesiculation, fragmentation, and hemolysis, of the erythrocytes to high pressure are largely modulated by the bilayer-cytoskeleton interaction, which is mediated by intracellular ATP levels.
Error Analysis in a Hate Speech Detection Task: The Case of HaSpeeDe-TW at EVALITA 2018

Taking as a case study the Hate Speech Detection task at EVALITA 2018, the paper discusses the distribution and typology of the errors made by the five bestscoring systems. The focus is on the subtask where Twitter data was used both for training and testing (HaSpeeDe-TW). In order to highlight the complexity of hate speech and the reasons beyond the failures in its automatic detection, the annotation provided for the task is enriched with orthogonal categories annotated in the original reference corpus, such as aggressiveness, offensiveness, irony and the presence of stereotypes.
The Importance of Using Collaborative Learning Strategy in Learning English Writing

This study investigated the importance of using collaborative learning as a strategy to enhance English writing skills of EFL learners. The study was a classroom based, the participants of the study were 25 female Libyan students from two different secondary schools in Misrata . All students who were chosen randomly were asked to fill in the questionnaire given. The research was done by using a mixed method approach. The data analysis obtained from the questionnaire and observation indicated that the majority of students were positive about collaborative writing although some of them were not interested when engaging collaboratively . It is a suitable and applicable strategy for improving students' English writing performance and to develop their critical thinking. Moreover, working collaboratively has a good impact on all members in a group since collaboration engages students to express their opinions and respect others' opinions; it fosters negotiation, and it engages students to share their knowledge.
Effect Of Post-Installed Rebar Connection On Concrete Structure

With increase in demand of construction industry, man has developed various techniques of construction. Post-installed connection is one of the techniques which allows to extend or strengthen the structure without affecting the existing structure. The technology of post-installed reinforcing bars is gaining importance since these bars are being frequently used in horizontal, vertical, and overhead applications in retrofit and rehabilitation of structures. Design of post-installed rebar connection is an issue as proper design guidelines are not yet provided in IS codes. Proper design of anchorage length is important parameter in post-installed connection. Post installed rebar connections, Eurocode approach to design, post-installed reinforcement approval and design method for static loads are discussed. The main aim of the study is to design post-installed rebar connections for existing structure. We have also carried out analytical investigation using finite element method to check the effect of post-installed connections by varying anchorage length as 10d, 15d, 20d and compared the effect with actual designed anchorage length for static loads. Behavior of structure after post-installed connection under static loading is studied. Index Terms : Anchorage Length, Ansys Workbench, Design, Post-installed, rebar, strut-tie model ——————————  ——————————
A comparison of aggregated and disaggregated approaches

We analyse the determinants of the protracted period of exceptionally low inflation in the emerging, small open economy of Poland. We consider a fairly standard set of macroeconomic variables and establish a structural VAR model estimated using Bayesian methods and disentangle the influence of the global and domestic, supply and demand factors affecting headline and core inflation by means of the mixture of zero and sign restrictions. Next, we extend the analysis on a battery of inflation components and construct inflation indices sensitive to the global and domestic factors. We find that the excessive disinflation has been primarily caused by the deteriorating domestic conditions whilst deflation has resulted from the convolution of waning global demand and plummeting oil prices. Disaggregated analysis corroborates the conclusion of the aggregated approach but reveals considerable heterogeneities in the sensitivity of inflation components to the identified shocks. We conclude that the disaggregated analysis brings important information for the monetary policy conduct. JEL: C32, E31, E52
Motor Imagery Signal Classification Using CNN With Application For Brain Computer Interface

:A Brain Computer Interface gives a way to link human mind and the computer machine. EEG collecting Modulations corresponding to Motor Imagery are the input to brain computer Interface. The signal captured by non-invasive method like EEG is contaminated and thus is difficult to classify. In this paper matrix of seven statistical features is passed to Convolution neural network (CNN) for classification. Thus, it acts as input to three-layer CNN which consist of convolution, subsampling and fully connected layers. This method is adventitious as provides better accuracy and is manageable in less memory.
TACG_A_198593 63..70

Muthukrishnan Eaaswarkhanth* Motasem Melhem* Prem Sharma Rasheeba Nizam Ashraf Al Madhoun Gyaneshwer Chaubey Osama Alsmadi Ebaa AlOzairi Fahd Al-Mulla 1Genetics and Bioinformatics Department, Dasman Diabetes Institute, Dasman, 15462, Kuwait; 2Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, India; 3Department of Cell Therapy & Applied Genomics, King Hussein Cancer Center, Amman, Jordan
Kappa statistic for judgment agreement in Sociolinguistics / Estatística Kappa para concordância de julgamento em Sociolinguística

Abstract: Perception studies have required the development of new techniques, as well as new ways of analyzing data. This paper discusses the proposal of Kappa statistic for the measurement of agreement amongst judgments in perception tests. The analysis deals with data obtained from a subjective reaction test focusing on the variable pronunciation of /t, d/ as stops or affricates in Aracaju, Sergipe, Brazil, considering aesthetic, rhythmic, and dialectal factors. Kappa statistic shows aspects of the inter-rater agreement and reliability that can explain how the linguistic change is driven in the community. This type of analysis also allows to account for, in a perception study, the sex/gender bias observed in production. Results suggest that Kappa-statistics is a tool that can improve the explanatory power of perceptual studies in Sociolinguistics.Keywords: Sociolinguistic perception; statistic tools; inter-rater agreement; /t,d/ palatalization.Resumo: Estudos de percepção têm demandado o desenvolvimento de novas técnicas, assim como novas formas de analisar os dados obtidos. Este texto discute a proposta do teste Kappa para a aferição da força de convergência de julgamentos em testes de percepção. A análise é realizada com dados obtidos em um teste de reação subjetiva quanto à realização variável de /t,d/ em Aracaju, Brasil, considerando fatores estéticos, rítmicos e dialetais. A estatística Kappa mostra aspectos da concordância e da confiabilidade entre os avaliadores que podem ser usados para explicar como a mudança linguística se dá na comunidade. A análise também permite identificar em um estudo da percepção o viés de sexo/gênero observado nos estudos de produção. Os resultados mostram que a estatística Kappa é uma ferramenta que pode ampliar o poder explanatório dos estudos de percepção em Sociolinguística. Palavras-chave: percepção sociolinguística; ferramentas estatísticas; concordância de juízes; palatalização de /t,d/.
Using Emphasis-Purposeful Sampling-Phenomenon of Interest–Context (EPPiC) Framework to Reflect on Two Qualitative Research Designs and Questions: A Reflective Process

A satisfactory research question often signifies the beginning point for many researchers. While this can be true for quantitative studies because of pre-defined research questions, qualitative research questions undergo series of revisions through a reflective process. This reflective process provides the framework for the subjectivity associated with qualitative inquiry. The continuous iterative reflective process is an essential component for developing qualitative research questions that correspond with the various qualitative study designs. Although qualitative inquiry is term exclusively subjective, there is a need to use a framework in developing qualitative research questions. The Emphasis- Purposeful sampling- Phenomenon of interest – Context (EPPiC) framework guides qualitative researchers in developing and revising qualitative research questions to suit a specific qualitative approach. This article addresses both the development of a research question using the “EPPiC framework” and demonstrate how to revise the “developed” research question to reflect two qualitative research design. I developed a qualitative research question for Sally Thorne’s Interpretive Description design using the EPPiC Framework and subsequently revised the research question to suit a grounded theory design.
EXPLORANDO REDES NEURAIS CONVOLUCIONAIS PARA DESCRIÇÃO CONTEXTUAL BASEADA EM SUPERPIXELS

Remote sensing is an important technique for acquiring consistent, repeated high resolution observations of large-scale phenomena and processes. However, the ever increasing amount of data provided by the continuing improvement in coverage and repetition rates in recent years makes the manual interpretation of the raw data impracticable in many cases. Devising automatic procedures to extract useful semantic information is then crucial for enabling the latest remote sensing based applications. Automatic methods offer a wide gamut of benefits and are the focus of many research fields. Potential applications range from detecting changes in vegetation and climate, ice melt, etc. to the mapping of natural disasters such as earthquakes, tsunamis, landslides or avalanches, to tracking of moving objects, e.g. for traffic monitoring or surveillance and urban planning. Due to the complexity of these phenomena, fully automatic processing is often not yet possible. However, reliable, fast and objective processing of the recorded data in all these cases is of great importance and requires advanced methods. The evolution in spatial resolution of satellites has increased the scope for feature extraction leading to a rising number of land cover classes, while the underlying semantics of these classes were not explored. Pixel-based classification methods became then less effective, since the relationship between the pixel size and the dimension of the observed objects on the Earth’s surface has changed significantly. Therefore objectoriented classification has become increasingly popular over the past decade. This combines segmentation and contextual classification. Segmentation divides the image into homogeneous pixel groups (segments), which are arranged into classes based on their spectral, geometric, textural and other features. However, this task is notoriously challenging and low-level descriptors usually employed ignore semantic information that may be provided by the spatial configuration of the classes present in an image. Deep learning, a recent breakthrough in machine learning, has shed light on this problem. The aim of this work is to evaluate the applicability of a superpixel based contextual description method used for image classification to the scenario of object detection
A new classification of satellite derived liquid water cloud regimes at cloud scale

Abstract. Clouds are highly variable in time and space affecting climate sensitivity and climate change. To study and distinguish the different influences of clouds on the climate system it is useful to separate clouds into individual cloud regimes. In this work we present a new cloud classification for liquid water clouds at cloud scale defined using cloud parameters retrieved from combined satellite measurements from CloudSat and CALIPSO. The idea is that cloud heterogeneity is a measure that allows to distinguish cumuliform and stratiform clouds, and cloud base height a measure to distinguish cloud altitude. The approach makes use of a newly-developed cloud-base height retrieval. Using three cloud base height intervals and two intervals of cloud top variability as an inhomogeneity parameter provides six new liquid cloud classes. The results show a smooth transition between marine and continental clouds as well as between stratiform and cumuliform clouds in different latitudes at the high spatial resolution of about 20 km. Analyzing the micro- and macrophysical cloud parameters from collocated combined MODIS, CloudSat and CALIPSO retrievals shows distinct characteristics for each cloud regimes that are in agreement with expectation and literature. This demonstrates the usefulness of the classification.
ECOLOGY AND POPULATION BIOLOGY and Diversity of a Tachinid Parasitoid Community Over Space and Time

Many species of Tachinidae are important parasitoids of herbivorous insects in natural and managed systems; yet, little is known about tachinid diversity and how this diversity is distributed across space and time. Here, pan trap sampling was used to analyze the richness, microhabitat speciÞcity, and seasonal diversity of a tachinid parasitoid community in an oakÐ mesquite savanna of Southeastern Arizona. Twenty-four traps were set out monthly during the growing season in three different microhabitats (open grassland, woodland understory, and woodland canopy). In total, 79 tachinid species were sampled with an estimated total diversity of 122 species. Most individual traps sampled few species; yet, variation in species composition ( diversity) among sampling dates and microhabitats was high, accounting for 40Ð70% of the total diversity. SigniÞcant intraspeciÞc aggregation was not observed across traps or microhabitats, but it was observed across dates, suggesting that the activity of tachinid species may be associated with host phenology and seasonal periods of precipitation. The diversity associated with microhabitat and sampling date was signiÞcantly greater than expected. Tachinid species diversity was highest in the canopy traps, whereas the open-exposed traps exhibited high abundances of relatively few species, and understory traps sampled few individuals of few species. Most species tended to be sampled where their hosts would be expected to be found, although males were also frequently sampled in microhabitats associated with mate Þnding. These patterns of diversity and abundance may aid in understanding parasitoidÐhost associations and variation in rates of parasitism by tachinid ßies.