Miracle-dz/UniFAR-FTUs huggingface dataset:
3.2 Construction of a Smart Vision-Guided Robot System for Manipulation in a Dynamic Environment

This article outlines the construction of universal, user-friendly smart robot system for manipulation in a dynamic environment through AI-based vision system which incorporates processing on the edge. To successfully perform complex tasks in changing conditions, robots require both intelligence for adaptive decision-making and the ability to accurately perceive the environment and interface with it. The proposed system is built in a way that maximizes the modularity of the system. And thus, improves the ease at which the system can be modiﬁed to other speciﬁc goals after it has been operationalized. In this work, these characteristics are achieved by the use of synthetically generated data and Robot Operating System (ROS) as a middleware software. The ﬁrst results prove the feasibility of training object detection networks on synthetically generated data sets. And also a combination of a 3D camera and industrial robot provides a convenient way for adding new objects to the database.
Carbon-Isotope Chemostratigraphy and Fluvial Sedimentology of the Moenave Formation, Utah

The end Triassic extinction (ETE) is one of the largest mass extinction events of the Phanerozoic, and it has been hypothesized that this event, as well as the Triassic-Jurassic (TJ) boundary, are preserved within the Moenave Formation of the Colorado Plateau. Identification of this boundary within southwest Utah sections of the Colorado Plateau region is critical for better understanding the relationship between climate change and the ETE in terrestrial, low latitude paleoenvironments. The Moenave Formation is well exposed in Blacks Canyon of Zion National Park and in the nearby Warner Valley, where detailed sedimentologic observations and carbon isotope sampling have been conducted. Chemostratigraphic correlation of the bulk organic carbon (δCorg) (this study) with carbonate carbon (δCcarbonate) and oxygen isotope (δOcarbonate) chemostratigraphy, detrital zircon U-Pb geochronology, and biostratigraphy provide new constraints on the location of the Triassic—Jurassic boundary and the ETE within the Moenave Formation. This study identifies three negative δCorg excursions (NCIE) within the Moenave Formation of Blacks Canyon. The first represents the “initial NCIE” at ~36 m above the base of the Dinosaur Canyon Member (DCM) with a magnitude of ~ -5 ‰, a second NCIE with a magnitude of ~ -6.8 ‰ occurs at ~47 m above the base of the DCM, and the third NCIE has been correlated to the “main NCIE” in the WPM with a magnitude of ~ -5.9 ‰ at ~69 m above the base of the formation. The onset of the ETE is associated with the initial NCIE while the TJ boundary is correlated to the main NCIE. Therefore, these δCorg data, in conjunction with detrital zircon U-Pb age constrains from chemical abrasion-thermal ionization mass spectrometry (CA-TIMS), suggest that the ETE occurs in the middle DCM, ~24-36 m above the base of the formation, and the TJB occurs higher in the section in the upper DCM or Whitmore Point Member (WPM). The locations of these boundary events and fieldand drone-based observations and measurements are used to quantify the impact of climatic warming across the Late Triassic-Early Jurassic boundary by relating sedimentologic observations to paleohydrologic processes. Observations indicate a trend toward upwards-increasing and then decreasing channelization in the fluvial DCM, with an increase in median and P95 grain size, and possibly fluvial channel depth, near the onset of the ETE. These data are interpreted to reflect an increase in precipitation during, and possibly before, the ETE that ultimately culminated in formation of Lake Dixie, manifested as lacustrine facies of the Whitmore Point Member. This research provides the first direct evidence for the preservation of the ETE within the Moenave Formation and provides insight into the sedimentologic and hydrologic response to the ETE within a low-latitude, arid environment.
TO IMPLEMENT PARALLEL PERFORMANCE (PROCESSOR) IN DATA WAREHOUSE USING CLOUD COMPUTING SYSTEM

— Databases today, irrespective of whether they are data warehouses, functioning data stores, or OLTP systems, enclose a huge volume of statistics. But, outcome and offering the correct statistics in an appropriate manner has to a challenge because of the huge amount of data complicated. Parallel performance is the competence that addresses this challenge. Cloud computing is developing of Parallel Performance (Processor) in Data warehouse. The development of cloud computing has made parallel processor derive into commons lives. Firstly, this paper develops the model of cloud computing and introduces two numerous traditional Parallel performance develops processing, When to Implement Parallel Performance or not and in-Memory Parallel Execution. The implementation of parallel performance has two levels. It has analysed and studied the principles, advantages and disadvantages of parallel performance develop processing. The results of this paper are intended to provide a reference for the development of parallel performance develops processing.
DIMENSIONALITY REDUCTION - A STUDY

: Data mining is the task of exploring new pattern from the huge database. Dimensionality reduction or dimension reduction (DR) is the measure of condensing the number of attributes under required condition. It is of two types: they are feature extraction (FE) and feature selection (FS). FE alters the high dimensional space into fewer dimensions whereas, FS captures a subset of compatible variables or attributes. Many numbers of algorithms are used for dimensionality reduction. Nowadays DR is used in number of applications for getting efficient results. The main objective of this paper is to provide the complete study about the dimensionality reduction concepts,, Basic methods, Techniques and applications
Isolation and Characterization of Siderophore and HCN Producing Pseudomonas aeruginosa from Indian Pompano Trachinotus mookalee Cuvier, 1832

Bacterial diversity study in marine fin-fish, Trachinotus mookalee Cuvier, 1832 lead to the isolation of six strains of Pseudomonas spp. The bacteria were isolated from the skin, gills and intestine of live fish collected from Karwar, Karnataka, India (N13°, 05.722‘; E079°, 48.658‘). Among the six strains three were non-fluorescent and three fluorescent Pseudomonas strains. Fluorescent strains were found to secrete pyoverdine, a yellow-green siderophore which has wide application in agriculture and allied sectors for use as biocontrol agent. Fluorescent strains were characterized phenotypically as well as by 16S rdna sequencing and were identified as Pseudomonas aeruginosa strain TRG1 (Genbank Accession No. KC109784).
Leader–member exchange and strain: a study of job demands and role status. Human Resource Management , 459-478.

High quality supervisor-subordinate relationships, measured as Leader Member Exchange (LMX), can either reduce or intensify subordinates’ job strain. We examined LMX effects on job demands and strain in junior and senior role nursing dyads in a sample of five UK hospitals. LMX reduced job demands and strain for junior subordinates, but for senior subordinates both low and high quality LMX lead to greater strain, indicating a curvilinear relationship between LMX and strain. We found no buffering effect of LMX between job demands and strain. The paper discusses the role of supervisors in controlling potential job stressors for employees and implications for stress management in large, complex workplaces.
Notes on causal inference and directed acyclic graphs

Say we observe a negative relationship between number of apples eaten per day and heart disease. Does this relationship mean that apples are protective against disease? Maybe. It is well known that correlation does not imply causation. Perhaps in this case number of apples eaten per day correlates with general diet, or general fitness, which instead are the cause of lower heart disease. Such factors are a source of confounding. How do we distinguish between these possibilities? A statistician answers these causal inference questions in two ways: by considering counterfactuals and interventions. A counterfactual is simply a potential event that did not occur. A given patient either does or does not receive the treatment on a given trial. Whichever event does not occur is the counterfactual. Under a counterfactual account of causality to claim that a proposed treatment causes disease remission is to claim that had the patient not received the treatment then the disease outcome would be different (greater). Interventionist accounts are similar but focus on the notion of manipulability. Here to claim that one variable causes another is to claim that if through intervention one variable is forced to a given state then a change in the other variable will be observed. Here the notion of intervention is treated as a primitive and causal relationships are derived from that. Thus, had a given patient not had so many apples per day, would their health be worse? And, if a patient was forced to eat many apples per day, would their health be better? Here we focus on frameworks that attempt to answer these questions in the presence of confounding. The basic idea is that if we do observe all the factors we reasonably consider to be confounding the estimate then we can correct for this.
Deep Reinforcement Learning Based Energy Management Strategy for Hybrid Vehicles in Consideration of Engine Start-up Conditions

As one of the most important supervisory control functionalities, the energy management strategy (EMS) of a hybrid electrified vehicle (HEV) optimizes the use of onboard energy resources for energy conservation and emission mitigation. Engine Start-up proved to have great contribution to fuel consumption and emission. A deep reinforcement learning based EMS is proposed for a power-split HEV to reduce the energy consumption and emission by recognizing start-up conditions and decreasing the start-up frequency. The EMSs based on Proximal Policy Optimization (PPO) and Twin-delayed Deep Deterministic Policy Gradient (TD3) are also compared in transient working condition frequency. Simulation study is conducted to demonstrate the advantage of the proposed energy management method. The EMS considering fuel consumption minimization and irrational actions avoidance is optimized by running the vehicle model under the WLTC condition repeatedly. PPO can get 9.02% lower fuel consumption, 25.6% lower start-up times and 8.2% transient working condition percentage than TD3. PPO is more suitable in the EMS domain.
Self-Efficacy’s Influence on a Student’s Self-Assessed Level of Preparation for College Level English

This study focused on how self-efficacy and a student’s self-assessed level of preparation for college level English impacted their success in a first-year composition course at a community college. The purpose of this study was to uncover the factors that led to successful writers with a focus on self-efficacy and collegiate writing. The research focused on how a student’s self-assessed level of preparation for their first-year college composition course impacted other aspects of selfefficacy and student success such as a student’s self-apprehensiveness and the student’s perception of their prior teacher’s effectiveness. The study utilized a purely quantitative research method to analyze the Research Question. The Research Question was answered with a statistically significant Pearson Correlation Coefficient at the 0.01 level.
EFFECTS OF ANALOGIES STRATEGY ON SENIOR SECONDARY SCHOOL STUDENTS’ ACHIEVEMENT IN BIOLOGY IN NIGERIA

Records from examination bodies have confirmed the persistent poor achievements of senior secondary school students in Biology. Ecology is one of the important areas in Biology that students did not master correctly. The students’ poor achievement in this area contributed to the poor achievements in Biology. Therefore, this study investigated the effects of analogies strategy on senior secondary school students’ achievements in ecological concepts in Ogbomoso South, Nigeria. The study was a quasi-experimental design. All senior secondary school II Biology students in Ogbomoso South, Nigeria constituted the population for the study. Four intact classes from four public co-educational schools were involved while the sample included 172 students. Biology Achievement Test (BAT) was the major instrument used. Using Cronbach Alpha, reliability value of 0.75 was obtained. Data were analyzed using t-test. Findings of the study showed that there was a significant difference in the achievements of students taught Biology using analogies strategy. It was recommended that Biology students should be exposed to the use of analogies strategy in the learning of Biology.
Interactive augmented reality storytelling guided by scene semantics

We present a novel interactive augmented reality (AR) storytelling approach guided by indoor scene semantics. Our approach automatically populates virtual contents in real-world environments to deliver AR stories, which match both the story plots and scene semantics. During the storytelling process, a player can participate as a character in the story. Meanwhile, the behaviors of the virtual characters and the placement of the virtual items adapt to the player's actions. An input raw story is represented as a sequence of events, which contain high-level descriptions of the characters' states, and is converted into a graph representation with automatically supplemented low-level spatial details. Our hierarchical story sampling approach samples realistic character behaviors that fit the story contexts through optimizations; and an animator, which estimates and prioritizes the player's actions, animates the virtual characters to tell the story in AR. Through experiments and a user study, we validated the effectiveness of our approach for AR storytelling in different environments.
Relationship Between Career Interest and Career Decision-Making of Grade 12 Learners in Township Secondary Schools in South Africa

This study examined the relationship between career interests and career decision-making of grade 12 learners in township secondary schools in South Africa. The correlational survey research design was adopted. The sample size comprised 204 grade 12 learners selected from six township secondary schools. The career interest and career decision-making scales were used to collect data from the learners. The inferential statistics such as Pearson correlation, Analysis of Variance (ANOVA), and regression analysis were used to analyse data. The results indicated that the correlation between enterprising career interest and career decision-making was established to be the strongest (r=0.535, n=204, p<0.001), followed by the relationship between adventurous career interest and career decision-making (r=0.465, n=204, p<0.001), but operational career interest had the least relationship with career decision-making, r (204)=0.284, p<0.001. The study concludes that the career interest model, F (9, 194)=17.403, p<0.01, is a significant predictor of career decision-making among the 12th grade learners. The study recommends that school psychologists should do early assessment of learners to ascertain their career interests. Keywords: Career interest, career decision-making, secondary school, grade 12 learners, township schools
A cost analysis of local anaesthetic nose and sinus surgery for the treatment of chronic rhinosinusitis

Background: People with chronic rhinosinusitis may be referred for endoscopic sinus surgery (ESS), a procedure commonly performed under general anaesthesia, once maximal medical therapy has failed. A new pathway of care is emerging: Local Anaesthetic Nose & Sinus Surgery (LANSS). With LANSS the patient is not placed under general anaesthesia, but instead the procedure is performed under a local anaesthetic. Methodology: A decision analytic model was developed from the perspective of the UK National Health Service (NHS) to assess the potential cost impact of LANSS versus current standard care pathway for ESS. Results: Modelling indicated that the introduction of LANSS would generate substantial savings of around £84,500 per year if introduced to a typical NHS trust with a large otolaryngology department undertaking 300 ESS procedures per year. These savings are generated as a proportion of the ESS procedures no longer need to be completed in an operating theatre, which reduces operational costs (saving around £64,500 per year), plus the use of local anaesthetic instead of general anaesthetic and a reduction in the time a patient spends as an inpatient. Conclusions: The uptake of LANSS could generate cost-savings of around £84,500 per year to a typical NHS trust in the UK.
Application of Resampling Techniques in Orthogonal Regression

The classical Orthogonal Regression analysis relies heavily on the normality assumption. However, sometimes we might be uncertain of the underlying distribution of our dataset or the sample size might be small, which would cause an inaccurate inference on the parameter if the data is not normally distributed. This leads to the main objective of this paper which is to examine alternative methods to the parametric OR analysis which do not rely on the normality assumption. In this paper, the nonparametric jackknife and bootstrap resampling techniques were applied to assess the bias, standard errors and confidence intervals for the parameters of the model. We studied on the method of delete-one jackknife and bootstrapping the observations and made comparisons between the two methods as well. Under bootstrapping, three methods were considered to construct the confidence intervals which include percentile interval, bias-corrected (BC) interval and bias-corrected and accelerated (BCa) interval. Based on the results, it was found that the bootstrap estimators were closer to the values of classical OR analysis compared to jackknifed estimators. Besides, the jackknife estimates of bias and standard errors were slightly larger than that of bootstrap. Furthermore, we also found that the confidence intervals for the parameters constructed from jackknife have longer lengths and closer to that of OR. This showed that jackknife performed better in constructing confidence interval than the bootstrap. INTRODUCTION Orthogonal regression (OR) is a type of structural relationship or errors-in-variables analysis. It is used to examine the linear relationship between two continuous variables X and Y when both variables are measured with error. It is different from ordinary least square (OLS) regression where only the response variable Y contains the measurement error. The best fitting line of OR minimizes the sum of squares of the distances that are perpendicular or in direction other than vertical from the plotted points to the line. A classical use of OR is to determine whether two methods are equivalent in measuring the same quantity. In the context of regression, our interest is to determine the regression parameters in the model, to estimate the precision of the estimators and to make inference on the parameters. In recent years, many researchers tend to use resampling techniques in regression data analysis instead of the classical parametric procedures. Two of the common resampling techniques are jackknifing and bootstrapping. In the past literatures, many researchers studied on the applications of jackknife and bootstrap in linear regression. However, we found that there are not much efforts and concerns on the OR. This raises our interest to investigate on the resampling in OR.
Antecedents of Product Owner Preference for Agile Software Development

As Product Owners on software development projects, our participants clearly preferred agile as the software development method of choice. We used a Grounded Theory approach to explore the interview data. Through our data analysis we discovered eight factors that influence preference for agile. Product Owner preference for agile methods is identified as the core category. The eight supporting factors are: customer representation, communication, collaborative empowerment, incremental approach, increased accountability, scope dynamics, and create valuable products. We relate these factors to existing literature to show that our participants’ experiences and beliefs resonate with the current body of knowledge and we extend the literature by identifying antecedents of preference. This novel combination of field discovered factors provides a unique perspective to information systems development.
Immunomodulatory components of Trichinella spiralis excretory-secretory products with lactose-binding specificity

The immunomodulatory potential of Trichinella spiralis muscle larvae excretory-secretory products (ES L1) has been well documented in vitro on dendritic cells (DCs) and in animal models of autoimmune diseases. ES L1 products possess the potential to induce tolerogenic DCs and consequently trigger regulatory mechanisms that maintain immune homeostasis. The use of ES L1 as a potential treatment for various inflammatory disorders proved to be beneficial in animal models, although the precise immunomodulatory factors have not yet been identified. This study aimed at the isolation and characterization of ES L1 components that possess galectin family member properties. Galectin-1-like proteins (TsGal-1-like) were isolated from ES L1 based on the assumption of the existence of a lactose-specific carbohydrate-recognition domain and were recognized by anti-galectin-1 antibodies in Western blot. This TsGal-1-like isolate, similar to galectin-1, induced DCs with tolerogenic properties and hence, the capacity to polarize T cell response towards a regulatory type. This was reflected by a significantly increased percentage of CD4+CD25+Foxp3+ regulatory T cells and significantly increased expression of IL-10 and TGF-β within this cell population. Proteomic analysis of TsGal-1-like isolate by mass spectrometry identified nineteen proteins, seven with annotated function after blast analysis against a database for T. spiralis and the UniProt database. To our surprise, none of the identified proteins possesses homology with known galectin family members. Nevertheless, the isolated components of ES L1 possess certain galectin-1 properties, such as specific lactose binding and the potential to elicit a regulatory immune response, so it would be worth further investigating the structure of sugar binding within isolated proteins and its biological significance.
Geocriticism of The Old Man and the Sea

“The old man” and “the sea” are two essential parts of The Old Man and the Sea; however, most critics have given priority to “the old man” when interpreting the short novel. This essay thinks that the sea is not just a setting for action and attempts to explore the multiple meaning of the sea from the perspective of geocriticism. With theories of Westphal’s geocriticism and Tally’s literary cartography, it analyzes what the sea as geography does to the old man, how the sea is crucial to Hemingway’s writing and how Hemingway maps the sea. Geocriticism of the novella offers new insights in understanding literature.
The Impact of a Student’s Self-Efficacy and Self- Apprehensiveness in an Introductory College Composition Course

This study focused on how self-efficacy and self-apprehensiveness affected student perception and success in a first-year composition course at a community college. The purpose of this study was to uncover the factors that led to successful writers with a focus on self-efficacy and collegiate writing, namely introductory college composition.