PRZOOM - Newswire (press release) - Mon, 11 Nov 2024 00:00:00 -0500, San Antonio TX United States - PathogenDx’s Microarray Detection Platform is the fastest and most cost-effective test for UTI detection with higher throughput for efficient and accurate diagnosis - PathogenDx.com

J&B Solar completed a 175-megawatt project in Montcalm County, MI, ahead of schedule and on budget, cementing its top status in the industry. Partnering with Roncelli, Inc., J&B Solar managed the mechanical construction, installing 46,000 piles, 1.2 million feet of racking, and 320,000 panels. Achieving 100% IRA and 95% union labor compliance, this project reinforces J&B Solar’s reputation as a leading U.S. contractor [PR.com]

A new look for ClearlyCultural.com! We will again be providing you with the latest news on cross cultural communication, as well as categorizing useful tools, resources and other information that will help you understand intercultural differences and how to apply that knowledge in informal and business settings.

10 benefits of exercising early in the morning and about gyms in Birmingham, UK.

Sony Music has been signalling its podcasting ambitions with a series of partnerships over the past year. Now it has revealed nearly 40 new shows resulting from those deals – and they’re all launching this year.

The unveiling happened at the major labels first IAB Podcast Upfront presentation, with shows in categories including true crime, politics, current events, and social / racial justice, as well as music.

On the latter front, two of the new shows talked about at the upfront presentation were My 90s Playlist with hosts Tracy Clayton and Akoto Ofori-Atta, and a music/sports show from NFL reporter Lindsay Czarniak.

bi-weekly mortgage, biweekly mortgages, biweekly mortgage payments, bi-weekly mortgage, mortgage reduction

JupiterOne, the leading cyber asset visibility and management company, today announced the release of its second annual State of Cyber Assets Report (SCAR). The report analyzed more than 291amp;nbsp;million assets, findings, and policies to establish the current state of enterprise cloud assets, including cloud and physical environments of devices, networks, apps, data,amp;nbsp;and users.amp;nbsp;

Book Early and SAVE Up To 20%

Book Early and SAVE Up To 20%

Game will have a unified global launch across all modes; Campaign, Multiplayer, and Zombies, on October 25, 2024.

Enjoy a huge $340 off this portable power source while this deal lasts.

Christmas is just a few weeks away, and if you’re planning to work on some fun DIY projects—the earlier you do it, the better. Getting an early start on your holiday DIY projects comes with a long list of benefits, and here are five reasons why it’s always a good idea. More Time The earlier […]

The holidays are just around the corner, which means it's a great time to snag deals on Nintendo Switch consoles, games, and accessories for everyone on your shopping list.

We've rounded up some top early Black Friday discounts available at Best Buy right now. Save on TVs, laptops, appliances, and more.

Frederica shares a piece that she wrote for National Review magazine in its special issue on women.

In the second in his series on bishops, Fr. Tom reflects on the New Testament and early Church formulations of the offices and functions of clergy.

The current delusion of our day is that life should be free of suffering or struggle. But that lie is actually leaving people in a perpentual adolescence that is destroying lives. The Faith offers us another path where we expect struggle and have Joy THROUGH it!

He was a soldier in the Roman army and, according to the venerable Bede, was brought to faith in Christ by a fugitive priest to whom he gave shelter. The saint exchanged clothes with the priest, allowing him to escape and ensuring his own martyrdom. Some writers, including St Bede, place his martyrdom during the reign of Diocletian (286-303).   Saint Alban's tomb was venerated as early as 429 by St Germanus of Auxerre. The town of Verulamium is either his home town or the place of his martyrdom; near it a monastery was founded, around which grew the English town of St Albans.

He was a soldier in the Roman army and, according to the venerable Bede, was brought to faith in Christ by a fugitive priest to whom he gave shelter. The saint exchanged clothes with the priest, allowing him to escape and ensuring his own martyrdom. Some writers, including St Bede, place his martyrdom during the reign of Diocletian (286-303).   Saint Alban's tomb was venerated as early as 429 by St Germanus of Auxerre. The town of Verulamium is either his home town or the place of his martyrdom; near it a monastery was founded, around which grew the English town of St Albans.

Now is the time to prepare for a spiritually beneficial Lent that will help us grow in the humility necessary to see ourselves and our neighbors clearly as we reorient our lives toward the great joy of Pascha.

Fr. John discusses the development of Christian hymnography.

Fr. John looks at some of the actual texts of early Christian hymns and the way in which they gave expression to the vision of early Christendom.

The Nativity and Early Life of St. John the Forerunner, by Lily Parascheva Rowe, illustrated by Roland J Ford (St. Stylianos Books, 2012)

Dawn’s Gentle Light, "Early Spring 1911," by Renee Riva (Pink Heart Press, 2017)

We are all called to a personal relationship with the Lord, but first of all, we must recognize that “Jesus Christ is the Lord” – our Lord. To achieve this, we need to have Him cure the blindness of our spiritual eyes, and this calls for an act of loving submission of our wills unto Him.

What is the Kingdom of God and how can we seek it?

Bobby Maddex interviews Angela Doll Carlson, the author of the forthcoming AFP book Nearly Orthodox: On Being a Modern Woman in an Ancient Tradition.

Fr. Alkiviadis Calivas discusses church life in the first century, the celebration of the Lord’s Day, the development of the parish, and church history through the lens of martyrdom and architectural setting.

Bobby Maddex interviews Frederica Mathewes-Green, host of the AFR podcast "Frederica Here and Now," about her book Mary As the Early Christians Knew Her: The Mother of Jesus in Three Ancient Texts, which was just released in paperback by Paraclete Press.

Bobby Maddex interviews Dr. David C. Ford, Professor of Church History at St. Tikhon’s Orthodox Theological Seminary and the author of the new St. Tikhon’s Monastery Press book Wisdom for Today from the Early Church.

Most Christians are not aware that in the latter part of the 16th century, early Lutheran Reformers - close colleagues and followers of Martin Luther - set in motion an eight year contact and correspondence with the (then) Ecumenical Patriarch, Jeremias II of Constantinople. The outcome might have changed the course of Christian history. Kevin Allen speaks with scholar Dr Paraskeve (Eve) Tibbs about this fascinating and largely unknown chapter in post-Reformation history.

The inaugural schedule for TGL, the tech-infused golf competition spearheaded by Tiger Woods and Rory McIlroy, has been revealed.

Chairman Kelvin Thomas says the project is running to schedule and should finish early next year.

Liverpool have taken early control of the Premier League title race, but Alexis Mac Allister says he didn't think they would be contenders at the start of the season.

The Cathedral is bringing back an ancient tradition not seen in the town for 200 years.

Responsive open learning environments (ROLEs) are the next generation of personal learning environments (PLEs). While PLEs rely on the simple aggregation of existing content and services mainly using Web 2.0 technologies, ROLEs are transforming lifelong learning by introducing a new infrastructure on a global scale while dealing with existing learning management systems, institutions, and technologies. The requirements engineering process in highly populated test-beds is as important as the technology development. In this paper, we will describe first experiences deploying ROLEs at two higher learning institutions in very different cultural settings. The Shanghai Jiao Tong University in China and at the “Center for Learning and Knowledge Management and Department of Information Management in Mechanical Engineering” (ZLW/IMA) at RWTH Aachen University have exposed ROLEs to theirs students in already established courses. The results demonstrated to readiness of the technology for large-scale trials and the benefits for the students leading to new insights in the design of ROLEs also for more informal learning situations.

In order to further improve the public health assurance system and the infectious diseases early warning system to give play to their positive roles and enhance their collaborative capacity, this paper, based on the big and thick data analytics technology, designs a 'rolling-type' data synergy model. This model covers districts and counties, municipalities, provinces, and the country. It forms a data blockchain for the public health assurance system and enables high sharing of data from existing system platforms such as the infectious diseases early warning system, the hospital medical record management system, the public health data management system, and the health big and thick data management system. Additionally, it realises prevention, control and early warning by utilising data mining and synergy technologies, and ideally solves problems of traditional public health assurance system platforms such as excessive pressure on the 'central node', poor data tamper-proofing capacity, low transmission efficiency of big and thick data, bad timeliness of emergency response, and so on. The realisation of this technology can greatly improve the application and analytics of big and thick data and further enhance the public health assurance capacity.

Many parents, educators, and policy makers see great potential for leveraging tools like laptop computers, tablets, and smartphones in the classrooms of the world. Although increasing students’ technology access may be associated with increased student achievement, there is little research directly investigating objective measures of student achievement. This study addresses the short-term and long-term quantitative impacts of one of the world’s first school efforts to provide Kindergarten through 3rd grade classrooms with 1:1 iPad access and a range of English Language Arts (ELA) and math Apps. This report summarizes two investigations conducted during this iPad implementation. First, a 9-week pre/post randomized control trial was conducted in which 8 Kindergarten classes used literacy and numeracy apps while another 8 Kindergarten classes used their traditional (non-iPad) resources. At the end of this short implementation period, slightly stronger literacy performance gains were observed in the iPad settings. In a second longitudinal study, three years of assessment data were explored before and after the 1:1 iPad implementation in grades K to 2. Results from the longitudinal study provide emerging evidence of potential increases in ELA achievement, but no consistent results in math achievement. This paper adds to the sparse literature in this area and provides a springboard for further research.

Aim/Purpose: The goal of this paper is to examine whether having female robotics teachers positively impacts girls’ performance on programming and robotics tasks Background: Women continue to be underrepresented in the technical STEM fields such as engineering and computer science. New programs and initiatives are needed to engage girls in STEM beginning in early childhood. The goal of this work is to explore the impact of teacher gender on young children’s mastery of programming concepts after completing an introductory robotics program. Methodology: A sample of N=105 children from six classrooms (2 Kindergarten, 2 first grade, and 2 second grade classes) from a public school in Somerville, Massachusetts, participated in this research. Children were taught the same robotics curriculum by either an all-male or all-female teaching team. Upon completion of the curriculum, they completed programming knowledge assessments called Solve-Its. Comparisons between the performance of boys and girls in each of the teaching groups were made. Findings: This paper provides preliminary evidence that having a female instructor may positively impact girls’ performance on certain programming tasks and reduce the number of gender differences between boys and girls in their mastery of programming concepts. Recommendations for Practitioners: Practitioners should expose children to STEM role-models from a variety of backgrounds, genders, ethnicities, and experiences. Future Research: Researchers should conduct future studies with larger samples of teachers in order to replicate the findings here. Additionally, future research should focus on collecting data from teachers in the form of interviews and surveys in order to find out more about gender-based differences in teaching style and mentorship and the impact of this on girls' interest and performance in STEM.

Aim/Purpose: This paper aims to explore whether having state Computer Science standards in place will increase young children’s exposure to coding and powerful ideas from computer science in the early years. Background: Computer science education in the K-2 educational segment is receiving a growing amount of attention as national and state educational frameworks are emerging. By focusing on the app ScratchJr, the most popular free introductory block-based programming language for early childhood, this paper explores if there is a relationship between the presence of state frameworks and ScratchJr’s frequency of use. Methodology: This paper analyzes quantitative non-identifying data from Google Analytics on users of the ScratchJr programming app. Google Analytics is a free tool that allows access to user activity as it happens in real time on the app, as well as audience demographics and behavior. An analysis of trends by state, time of year, type of in-app activities completed, and more are analyzed with a specific focus on comparing states with K-12 Computer Science in place versus those without. Contribution: Results demonstrate the importance of having state standards in place to increase young children’s exposure to coding and powerful ideas from computer science in the early years. Moreover, we see preliminary evidence that states with Computer Science standards in place support skills like perseverance and debugging through ScratchJr. Findings: Findings show that in the case of ScratchJr, app usage decreases during the summer months and on weekends, which may indicate that coding with ScratchJr is more often happening in school than at home. Results also show that states with Computer Science standards have more ScratchJr users on average and have more total sessions with the app on average. Results also show preliminary evidence that states with Computer Science standards in place have longer average session duration as well as a higher average number of users returning to edit an existing project. Recommendations for Practitioners: Successful early childhood computer science education programs must teach powerful ideas from the discipline of computer science in a developmentally appropriate way, provide means for self-expression, prompt debugging and problem solving, and offer a low-floor/high-ceiling interface for both novices and experts. Practitioners should be aware in drops in computer science learning during the summer months when school is not in session. Recommendation for Researchers: Researchers should consider the impact of state and national frameworks on computer science learning and skills mastered during the early childhood years. Researchers should look for ways to continue engaging students in computer science education during times when school is not in session. Impact on Society: Results demonstrate the importance of having state CS standards in place to increase young children’s exposure to coding and powerful ideas from computer science in the early years. Moreover, we see preliminary evidence that states with Computer Science standards in place support skills like perseverance and debugging through ScratchJr. Future Research: Future research should continue collecting Google Analytics from the ScratchJr app and track changes in usage. Future research should also collect analytics from a wide range of programming applications for young children to see if the trends identified here are consistent across different apps.

Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students’ academic achievement early using Educational Data Mining (EDM). This study aims to predict students’ final grades and identify honorary students at an early stage. Background: EDM research has emerged as an exciting research area, which can unfold valuable knowledge from educational databases for many purposes, such as identifying the dropouts and students who need special attention and discovering honorary students for allocating scholarships. Methodology: In this work, we have collected 300 undergraduate students’ records from three departments of a Computer and Information Science College at a university located in Saudi Arabia. We compared the performance of six data mining methods in predicting academic achievement. Those methods are C4.5, Simple CART, LADTree, Naïve Bayes, Bayes Net with ADTree, and Random Forest. Contribution: We tested the significance of correlation attribute predictors using four different methods. We found 9 out of 18 proposed features with a significant correlation for predicting students’ academic achievement after their 4th semester. Those features are student GPA during the first four semesters, the number of failed courses during the first four semesters, and the grades of three core courses, i.e., database fundamentals, programming language (1), and computer network fundamentals. Findings: The empirical results show the following: (i) the main features that can predict students’ academic achievement are the student GPA during the first four semesters, the number of failed courses during the first four semesters, and the grades of three core courses; (ii) Naïve Bayes classifier performed better than Tree-based Models in predicting students’ academic achievement in general, however, Random Forest outperformed Naïve Bayes in predicting honorary students; (iii) English language skills do not play an essential role in students’ success at the college of Computer and Information Sciences; and (iv) studying an orientation year does not contribute to students’ success. Recommendations for Practitioners: We would recommend instructors to consider using EDM in predicting students’ academic achievement and benefit from that in customizing students’ learning experience based on their different needs. Recommendation for Researchers: We would highly endorse that researchers apply more EDM studies across various universities and compare between them. For example, future research could investigate the effects of offering tutoring sessions for students who fail core courses in their first semesters, examine the role of language skills in social science programs, and examine the role of the orientation year in other programs. Impact on Society: The prediction of academic performance can help both teachers and students in many ways. It also enables the early discovery of honorary students. Thus, well-deserved opportunities can be offered; for example, scholarships, internships, and workshops. It can also help identify students who require special attention to take an appropriate intervention at the earliest stage possible. Moreover, instructors can be aware of each student’s capability and customize the teaching tasks based on students’ needs. Future Research: For future work, the experiment can be repeated with a larger dataset. It could also be extended with more distinctive attributes to reach more accurate results that are useful for improving the students’ learning outcomes. Moreover, experiments could be done using other data mining algorithms to get a broader approach and more valuable and accurate outputs.

Aim/Purpose: The purpose of this article is to provide an overview and analysis of the emerging research landscape surrounding the integration of ChatGPT into education. The main problem appears to be that this is a new, rapidly developing research area for which there is no comprehensive synthesis of the current literature. The aim of the article is to fill this gap by conducting a timely bibliometric study to map publication trends, influential works, themes, and opportunities, thus representing the growth and structure of ChatGPT educational research. Background: This article addresses the issue of the lack of a comprehensive synthesis of the new research on ChatGPT in education by conducting a bibliometric analysis. Specifically, the authors use statistical and network analysis techniques to examine the patterns of publication, citation, and keywords and map the growth, contributions, themes, structure, and opportunities in this evolving field. The bibliometric approach provides a comprehensive, evidence-based overview of the current state of the literature to uncover trends and gaps and help researchers improve their understanding of appropriate and effective applications of ChatGPT in educational contexts. Methodology: The authors used bibliometric analysis as the primary method to summarize the new research on ChatGPT in education. We searched the database of the Web of Science Core Collection to find 51 relevant documents from 2023 that included ChatGPT in the title and were classified as ‘educational research.’ The sample consisted of these 51 documents, including articles, early access articles, editorials, reviews, and letters. Statistical techniques examined publication, citation, and keyword patterns. Network analysis visualized citation and co-occurrence networks to reveal intellectual structure. The multifaceted bibliometric approach allowed a comprehensive study of the sample from a productive, conceptual, and intellectual perspective. Contribution: This article conducts comprehensive bibliometric analysis of this emerging research area and synthesizes publication, citation, and keyword data to map the growth and structure of the literature. The results reveal important trends, such as the rapid growth of publications since the release of ChatGPT, initial authorship patterns, the focus on higher education applications, and distinct research clusters around pedagogical, ethical, and assessment issues. Visualizing citation networks identifies seminal studies while mapping co-occurrence clarifies conceptual relationships between topics. The comparative analysis highlights the differences between document types, topics, and time periods. Knowledge mapping highlights gaps in the literature, such as lack of focus on K-12 contexts, and highlights opportunities for further research. Findings: Key findings from this bibliometric analysis of the emerging research land-scape surrounding ChatGPT integration in education include the following: • Since ChatGPT was released in late 2022, the number of releases has increased significantly, indicating rapid growth in this emerging space. • The most cited authors initially came primarily from Anthropic, but over time, the citations spread throughout the research community. • The topics focused primarily on higher education applications, with a clear focus on pedagogical strategies, ethical risks, and implications for assessment. • Citation networks visualized seminal studies, while the co-occurrence of keywords clarified conceptual connections. • Gaps such as applications in the K-12 context were uncovered, and opportunities for further research were highlighted. • The literature is rapidly evolving and requires ongoing monitoring of the development of this field. In general, the analysis presents the productivity, contributors, themes, struc-ture, and opportunities in this emerging area around the integration of ChatGPT in education based on current scientific evidence. The key findings focus on the growing early interest, gaps and developments that can provide insight for researchers and educators. Recommendations for Practitioners: Practitioners should carefully integrate ChatGPT into education based on new evidence, carefully assess contextual applicability, and proactively develop guidelines for ethical and equitable implementation. Ongoing advice, impact monitoring, and research partnerships are crucial to informing best practices. Educators must be vigilant for risks such as privacy, student well-being, and competence impairment while staying abreast of advances in knowledge to dynamically adapt integration strategies. The introduction should empower diverse learners through measured, integrative approaches based on continuous contextual analysis and ethical principles. Recommendation for Researchers: This article recommends that researchers conduct more studies in under-researched contexts, use multiple methods to capture nuanced impacts, increase focus on responsible integration strategies, develop tailored assessments, conduct interdisciplinary collaborations, monitor long-term adoption, mix with interactive explain and publish open access technologies, help guide adoption pathways through actionable studies, and synthesize the exponentially growing literature through updated systematic reviews. Impact on Society: The rapid publication growth and prevailing optimism suggest that the integration of ChatGPT into education will accelerate, increasing the need for rigorous research that guides ethical, responsible innovations that avoid risks and improve outcomes in all educational contexts. The findings have broader implications for guiding adoption trajectories through ongoing evidence synthesis and expanded investigations in under-researched areas to address knowledge gaps. Ultimately, continued monitoring and updated guidance are critical to ensure that ChatGPT’s educational penetration progresses carefully by maximizing benefits and minimizing harms in rapidly evolving AI-powered learning ecosystems. Future Research: Based on the basic mapping provided by this paper, recommended research directions include longitudinal impact studies, research tailored to under-researched contexts such as K-12, qualitative research to capture stakeholder perspectives, development and testing of AI-calibrated assessments as well as explorations that combine conversational and interactive learning technologies, updated systematic reviews, and co-designed implementation research that explain pedagogical strategies that ethically unlock learning potential while mitigating risks in diverse educational environments. Such multilayered tracking can provide critical insights to guide context-specific, responsible ChatGPT integration and monitor impact within rapidly evolving AI-powered education ecosystems.

Mental illnesses are common among college students as well as their non-student peers, and the number and severity of these problems are increasing. It can be difficult to identify people suffering from mental illness and get the help they need early. So in this paper, the SqueezeR_MobileNet method is proposed. It performs feature fusion and early mental health prediction. Initially, outliers in the input data are detected and removed. After that, using missing data imputation and Z-score normalisation the pre-processing phase is executed. Next to this, for feature fusion, a combination of the Soergel metric and deep Kronecker network (DKN) is used. By utilising bootstrapping data augmentation is performed. Finally, early mental health prediction is done using SqueezeR_MobileNet, which is the incorporation of residual SqueezeNet and MobileNet. The devised approach has reached the highest specificity of 0.937, accuracy of 0.911 and sensitivity of 0.907.