Equipping Associate Ministers for Ordination into the Christian Ministry at the Trinity Missionary Baptist Church, Pontiac, Michigan

ABSTRACT EQUIPPING ASSOCIATE MINISTERS FOR ORDINATION INTO THE CHRISTIAN MINISTRY AT THE TRINITY MISSIONARY BAPTIST CHURCH, PONTIAC, MICHIGAN John DeVar Tolbert, D.Min. The Southern Baptist Theological Seminary, 2015 Faculty Supervisor: Dr. T. Vaughn Walker This project was designed to train and develop associate ministers into prepared ordination candidates at the Trinity Missionary Baptist Church, Pontiac, Michigan. Chapter 1 states the purpose and goals of this project. Attention is also given to context, definitions and delimitations, and the project methodology. Chapter 2 observes the biblical and theological rationale for developing associate ministers into prepared ordination candidates. Chapter 3 focuses on evaluating and implementing practical concepts for ordination preparation. Perspectives of understanding pragmatic methods of leadership are examined in this chapter along with insight to the role of the pastor in the development process of training associate ministers for ordination. Chapter 4 gives attention to the project design. Specifically, an analysis of how the project was implemented is reviewed. Insight is given on the presentation of various training sessions. Chapter 5 analyzes the conclusion of the project. Results and expressions regarding conclusive results are given in this chapter

Justice in 100 Metrics: Tools for Measuring Equity in 100% Renewable Energy Policy Implementation

This report reviews existing literature and compiles equity metrics for the implementation of 100% renewable energy policy. Initiative for Energy Justice created this literature review for energy regulators and communities engaged in energy rulemaking proceedings in particular. The content may also be adapted to address equity initiatives within utilities, and used by advocates in independent efforts to hold utilities accountable to equity standards. The resources provided are meant to provide a flexible basis from which to expand systems of accountability regarding equity goals in the implementation of 100% renewable energy (or 100% clean energy) policy

Évolution de la microstructure lors du traitement thermique de l’acier inoxydable AISI 410

Dans ce travail de recherche, l’influence des différents paramètres sur les phénomènes qui se produisent durant l’austénitisation et le revenu de l’acier inoxydable AISI 410, ont été investigués. Grâce à un dilatomètre à haute résolution, les échantillons ont subi trois cycles de traitement thermique d’austénitisation à différente température afin d’observer l’influence de la température d’austénitisation avec et sans revenu sur la microstructure, la taille de grains et la dureté. Les résultats ont indiqué d’importantes influences sur la microstructure, la taille de grains et la dureté aux différentes températures d’austénitisation même avec et sans le revenu. Les résultats ont aussi montré que la quantité de dissolution des carbures est influencer par la température d’austénitisation. Par la suite, des cycles de revenus non-isothermes à 677 °C ont été réalisés avec différents temps de maintien pour étudier l’évolution de la microstructure lors du traitement thermique de revenu. Le cycle complet étudié dans cette étude est le cycle de revenu du partenaire industriel Finkl Steel où il était question d’avoir une meilleure compréhension de l’évolution de la microstructure lors du cycle de revenu complet industriel. Les résultats obtenus ont démontré une évolution progressive des différents paramètres étudiés jusqu’à la fin du premier revenu. Après le premier revenu, plusieurs exigences industrielles étaient déjà obtenues. Comme le cycle de revenu industriel habituel d’un acier inoxydable AISI 410 est un double revenu, les résultats ont indiqué que l’évolution de la microstructure lors du deuxième revenu ralentit considérablement et qu’il serait possible qu’un deuxième revenu ne soit pas nécessaire

A Systematic Literature Review of Empirical Evidence on Students with Mathematics Learning Disabilities

Mathematics is a particularly important component in our daily life and many students find it as an exceedingly difficult subject to be learned. The similar problem is being faced by special needs students such as those with learning disabilities (LD). This paper provides a current and thorough literature review of the empirical evidence on students with mathematics learning disabilities. The authors conducted the review of literature from the year 2016 to 2020 using Education Resources Information Center (ERIC) as the database. A total of 31 articles were found. Multiple mathematics learning disabilities were identified and the educational interventions that were used vary accordingly. Finding shows that most of the studies focused on technology-based interventions to help students with intellectual disability which includes problem solving and creative thinking. The implications of the study are also discussed in this literature review, which indicates that teachers need to use the appropriate educational interventions to meet the needs of students with learning disabilities and maximize their mathematics learning outcomes in schools

MULTIVARIATE TIME SERIES PATTERN RECOGNITION USING MACHINE LEARNING AND DEEP LEARNING METHODS

In this research work, we have implemented machine learning & deep-learning algorithms on real-time multivariate time series datasets in the manufacturing & health care fields. The research work is organized in two case-studies. The case study-1 is about rare event classification in multivariate time series in a pulp and paper manufacturing industry, data was collected of multiple sensors at each stage of production line, the data contains a rare event of paper break that commonly occurs in the industry. For preprocessing we have implemented sliding window approach for calculating first order difference method to capture the variation in the data over the time. The sliding window approach helps to arrange the data for early prediction for instance we can set sliding window parameters predict two or four minutes early as required. Our results indicate that for case study-1 best accuracy score was produced by TensorFlow deep neural network model it was able to predict 50% of failures and 99% of non-failures with an overall accuracy of 75%. In case study-2 we have brain eeg signal data of patients which was collected with the help of Stereo EEG Implantation strategy to measure their ability to remember words shown to him/her after distracting him /her with math problems and other activities. The data was collected at a health-care lab UT-Southwestern Medical Center. The brain eeg signal data collected by the company was preprocessed by using Pearson’s and Spearman’s correlations, extracting bandwidth frequencies and basic statistics from eeg signal data extracted for each event, event in case study-2 refers to a word shown to a patient. We have used minimum redundancy and maximum relevance feature selection method for dimensionality reduction of the data and to get most effective features out of all. For case-study 2 best results were produced by SVM-RBF i.e. 73% accuracy to predict if a patient will remember or not remember a word

Students with disability, the disability unit and lecturers' narratives of disability within a tertiary institution.

M. Soc. Sc. University of KwaZulu-Natal, Durban 2015.The purpose of the study was to explore the narratives of disability among students with disabilities, lecturers and the Disability Unit (DU) within a tertiary institution with a view to better understand their experiences and required initiatives to address the challenges of disability within a tertiary institution. Understanding how students with disabilities within a higher education context perceive and experience disability as well as how key players, namely lecturers’ and DU staff, who influence that experience is important in providing a truly inclusive environment for all within a tertiary institution. A review of the literature highlights that despite enabling legislation, in many South African Higher Education Institutions students with disability still experience many barriers to learning. The study drew from three theoretical frameworks in understanding participants’ narratives, namely social constructionism, feminist disability theory and a Foucauldian perspective. A qualitative study was conducted among 24 participants, who were purposively sampled and consisted of students with disability (N=12), disability unit staff members (N=7) and lecturers (N=5) within a South African tertiary institution. Semi- structured interviews and biographical questionnaires were used to collect the data which was analysed using thematic analysis. The findings indicate that dominant representations of disability that exist within the tertiary context are disempowering and understand different embodiment, as less. There is a strong emphasis on students having to adapt in a tertiary context. Through normalisation mechanisms of the ‘gaze’, through engagement with the non- disabled and through the language used when speaking about students with disability, dominant understandings are perpetuated and internalised. Consequently, many students with disability modify their behaviour and act in ways to fit in and disassociate with being disabled. Further, many believe that they have to take ownership for their disability and manage it. These disempowering representations are reinforced by inadequate infrastructure, resources and clear processes that limit accessibility to students with disability. This lack of consideration has a normalising function which gear students with disability to adapt and regulate themselves to fit in. The need for awareness and education, improving engagement with key stakeholders and improving integration were understood as important initiatives that the tertiary community should consider. Through these initiatives, opportunities to create positive representations are opened, which provide moments for students with disability to create more accepting representations of self with disability when interacting with the non-disabled and challenge dominant disempowering understandings of disability. The current study highlights the need for creating spaces and engagement within a tertiary institution that celebrate and create positive representations of disability

Equitable Community Solar: California & Beyond

Residential solar and utility scale solar are low-hanging fruit in the renewables transition, but targeting low-hanging fruit can only go so far. Can states innovate, reach further, and ignite near-universal consumer demand for clean energy and achieve social justice goals through equitable community solar? For the last decade, the goal of mitigating climate change primarily drove the transition to renewable energy in states and countries that took the climate change crisis seriously. But there is even greater promise. The shift to renewable energy holds the transformative potential for broader social benefits, such as wealth-building opportunities, good jobs, health improvements, energy bill savings, and resilience in the face of power outages. Manifesting this potential requires intentional policy. Unfortunately, even in California, a state determined to lead the transition to renewable energy, the implementation of climate action is poised for inequitable disparities. Although advocates saw community solar— cooperatively generating solar energy—as an avenue for all communities to benefit from the energy transition, the state poorly designed its first community solar policy, and the program has been a failure. California is now embarking on a significantly smaller second attempt at community solar targeted at serving disadvantaged communities: the Community Solar Green Tariff. But has the state learned from its first failure? This Article analyzes California’s new community solar program and proposes a framework for “equitable community solar” to improve program design, in hopes that other states learn from where the Golden State has stumbled

Insights into Knowledge, Attitude and Perception about Dental Ergonomics and Work-Related Musculo Skeletal Disorders (MSD) among Dental Professionals at Chengalpet District, Tamil Nadu, India: A cross-sectional study

Introduction: Despite all modern technological advances, dentistry is a profession still being affected by various musculoskeletal disorders, because of their prolonged working hours and difficult postures. Hence, this study was undertaken to assess the basic knowledge, attitude and practice of dental ergonomics during routine dental procedures among dental professionals and the second aim of the study focused on knowledge, attitude and practice of dental ergonomics by gender. Methods: A cross-sectional study was conducted among 203 dental professionals from January 2021 to February 2021. A structured questionnaire consisting of 15 questions was administered. Descriptive analysis of demographic variables was done and knowledge, attitude and perception scores were performed using the chi-square test. Results: Among the 203 participants, a considerable majority of the participants which is about 75.9% (male: 71.1% and female: 79.6%) reported that they have awareness of dental ergonomics. There were no statistically significant differences between males and females regarding knowledge score of p=1.280. About 46.4% of participants (male: 54.3 % and female: 43.9%), complained of neck pain followed by 44.3% (male 41.3% and female 45.2%) complained of back pain. About 58.6% reported that the pain was caused strictly because of improper posture and non-ergonomically designed equipment. The difference between the gender variations was statistically significant regarding perception about dental ergonomics (p=0.001*) Conclusion: Dental professionals have considerable awareness of ergonomics in dental practice. The current study highlights the situation of ergonomics in dental practice in the form of knowledge, attitude, and practices