Queen Abigail the Wise, Chapter Nine, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Ten, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Eleven, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Twelve, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Thirteen, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Fourteen, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Fifteen, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Sixteen, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Seventeen, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Eighteen, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter nineteen, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Twenty, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Twenty One, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Twenty Two, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Twenty Three, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

Queen Abigail the Wise, Chapter Twenty Four and conclusion, written and illustrated by Grace Brooks. Create Space (2015) Available on Amazon

The work of the prophet Haggai is short and easy to miss; it is a mere two chapters in our Bibles sandwiched in between the books of Zephaniah and Zechariah. If you are flipping quickly through the final pages of the Old Testament he easy to miss. After ploughing through longer works such as those of Isaiah (66 chapters), Jeremiah (52 chapters, plus 5 more chapters of Lamentations), and Ezekiel (48 chapters), Haggai looks positively puny in comparison

Working from the Epistle reading in Colossians, Fr. Apostolos underscores the basic spiritual truth that our oneness in Christ precludes every possibility for bigotry of any kind and that we, as Light-bearers, must light the way out of the fear and ignorance that gives rise to such base and passe divisions.

What is the most important question of all time? Fr. Gregory addresses that in today's episode.

The Fathers of the Church are very clear that it is not God who separates himself from sinners and punishes them but rather sinners themselves who, through their own bad choices, separate themselves from the Lord and experience in that separation the sufferings of hell, darkness and despair.

Fr. Christopher reminds us that the coming of Christ was an act of mercy and salvation in a world soiled by darkness, sin and evil.

Bobby Maddex interviews Fr. Stephen Siniari, the author of a brand new collection of short stories titled Big In Heaven.

Continuing the theme of the last episode which dealt with Orthodoxy as Paradoxy, Dr. Rossi talks about the need to embrace ambiguity.

In an earlier podcast, Dr. Rossi dealt with our need to embrace ambiguity as a way to become a healing presence. After receiving an email from a listener, he continues with this theme today.

Fr. Pat discusses the parable of the rich man's barns.

So, I have some BIG news… I am quitting online courses. (And don’t worry. If you already invested in one of my courses, you won’t lose access. The website will still live on. I’m just done selling them after one final enrollment period). “Why? ARE YOU CRAZY!?!?!” No. I’m not crazy. “IS THIS A SCAM? […]

Jack Draper wins the biggest title of his career at the Erste Bank Open in Vienna as the British number one's breakout season reaches even greater heights.

Watch highlights as Warrington Wolves head into the Super League play-offs with a big win over London Broncos.

Warren Gatland has a week to lift his players enough to prevent a record 11th Test loss in a row.

The vote risks sparking a trade war as the EU looks to protect its own car makers.

Rizzle Kicks' Jordan Stephens has written a memoir: Avoidance, Drugs, Heartbreak & Dogs.

Showcasing the best images sent to us from around Hampshire & Isle of Wight.

Showcasing the best images sent to us from around Hampshire & Isle of Wight.

Sheffield Steelers will take on German champions Eisbären Berlin at Sheffield Arena.

Aled Morris says the show has become a big part of his life.

Campaigners say it should be easier for plus-size walkers to enjoy the countryside.

Showcasing the best images sent to us from around Berkshire.

The average home cost £581,000 at the end of September - down from £651,000 a year earlier.

Showcasing the best images sent to us from around Dorset.

When Ariana Grande wrote “could get it again” next to Big Sean’s picture in her “Thank U, Next” video, she might not have been joking. The two were spotted hanging out yesterday, and maybe they were recording new music, maybe she was bouncing back to that dick, or maybe both. While ex-fiance Pete Davidson has […]

The post Ariana Grande Spotted with Ex, Big Sean appeared first on HecklerSpray.

  Halloween may be the time for frightful fun and eerie excitement, but the costs of costumes, decorations, and sweets can quickly turn from treat to trick. Thankfully, celebrating the […]

The post 6 tips to help you save big for Halloween appeared first on ShinyShiny.

This is the last part of a series on training for legal translators. See the first post here. To put yourself on the path to becoming a good legal translator, you need to make one big study commitment. A big study commitment is anything that takes at least a year, challenges you, and costs a lot of […]

We investigate ambiguity for symmetric difference nondeterministic finite automata. We show the existence of unambiguous, finitely ambiguous, polynomially ambiguous and exponentially ambiguous symmetric difference nondeterministic finite automata. We show that, for each of these classes, there is a family of n-state nondeterministic finite automata such that the smallest equivalent deterministic finite automata have O(2ⁿ) states.

by Mitchell Longan[1] Introduction The European Parliament is currently considering a proposal to address problems of piracy and other forms of copyright infringement associated with the digital world.[2] Article 13 of the proposed Directive on Copyright in the Digital Single

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.

Emergency disaster management presents substantial risks and obstacles to shield tunnel building projects, particularly in the event of water leakage accidents. Contemporary water leak detection is critical for guaranteeing safety by reducing the likelihood of disasters and the severity of any resulting damages. However, it can be difficult. Deep learning models can analyse images taken inside the tunnel to look for signs of water damage. This study introduces a unique strategy that employs deep learning techniques, generative adversarial networks (GAN) with long short-term memory (LSTM) for water leakage detection i shield tunnel construction (WLD-STC) to conduct classification and prediction tasks on the massive image dataset. The results demonstrate that for identifying and analysing water leakage episodes during shield tunnel construction, the WLD-STC strategy using LSTM-based GAN networks outperformed other methods, particularly on huge data.

In the context of smart city development, the managed pressure drilling (MPD) drilling process faces many uncertainties, but the characteristics of the process are complex and require accurate wellbore pressure control. However, this process runs the risk of introducing un-modelled dynamics into the system. To this problem, this paper employs neural network control techniques to construct a dual-network system for throttle pressure control, the design encompasses both the controller and identifier components. The radial basis function (RBF) network and proportional features are connected in parallel in the controller structure, and the RBF network learning algorithm is used to train the identifier structure. The simulation results show that the actual wellbore pressure can quickly track the reference pressure value when the pressure setpoint changes. In addition, the controller based on neural network realises effective control, which enables the system to track the input target quickly and achieve stable convergence.

Research on the quality evaluation of teaching reforms plays an important role in promoting improvements in teaching quality. Therefore, an evaluation method of teaching reform quality in colleges and universities based on big data analysis is proposed. A multivariate logistic model is used to select the evaluation indicators for the quality evaluation of teaching reforms in universities. And clustering and cleaning of the evaluation indicator data are performed through big data analysis. The evaluation indicator data is used as input vectors, and the results of the teaching reform quality evaluation are used as output vectors. A support vector machine model based on the whale algorithm is built to obtain the relevant evaluation results. Experimental results show that the proposed method achieves a minimum recall rate of 98.7% for evaluation indicator data, the minimum data processing time of 96.3 ms, the accuracy rate consistently above 97.1%.

Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dimension that is related to storage, analytics and visualization of big data; the human aspects of big data; and, in addition, the process management dimension that involves in a technological and business approach the aspects of big data management.

Aim/Purpose: Board of Directors seek to use their big data as a competitive advantage. Still, scholars note the complexities of corporate governance in practice related to information security risk management (ISRM) effectiveness. Background: While the interest in ISRM and its relationship to organizational success has grown, the scholarly literature is unclear about the effects of Chief Technology Officers (CTOs) leadership styles, the alignment of the governance of big data, and ISRM effectiveness in organizations in the West-ern United States. Methodology: The research method selected for this study was a quantitative, correlational research design. Data from 139 participant survey responses from Chief Technology Officers (CTOs) in the Western United States were analyzed using 3 regression models to test for mediation following Baron and Kenny’s methodology. Contribution: Previous scholarship has established the importance of leadership styles, big data governance, and ISRM effectiveness, but not in a combined understanding of the relationship between all three variables. The researchers’ primary objective was to contribute valuable knowledge to the practical field of computer science by empirically validating the relationships between the CTOs leadership styles, the alignment of the governance of big data, and ISRM effectiveness. Findings: The results of the first regression model between CTOs leadership styles and ISRM effectiveness were statistically significant. The second regression model results between CTOs leadership styles and the alignment of the governance of big data were not statistically significant. The results of the third regression model between CTOs leadership styles, the alignment of the governance of big data, and ISRM effectiveness were statistically significant. The alignment of the governance of big data was a significant predictor in the model. At the same time, the predictive strength of all 3 CTOs leadership styles was diminished between the first regression model and the third regression model. The regression models indicated that the alignment of the governance of big data was a partial mediator of the relationship between CTOs leadership styles and ISRM effectiveness. Recommendations for Practitioners: With big data growing at an exponential rate, this research may be useful in helping other practitioners think about how to test mediation with other interconnected variables related to the alignment of the governance of big data. Overall, the alignment of governance of big data being a partial mediator of the relationship between CTOs leadership styles and ISRM effectiveness suggests the significant role that the alignment of the governance of big data plays within an organization. Recommendations for Researchers: While this exact study has not been previously conducted with these three variables with CTOs in the Western United States, overall, these results are in agreement with the literature that information security governance does not significantly mediate the relationship between IT leadership styles and ISRM. However, some of the overall findings did vary from the literature, including the predictive relationship between transactional leadership and ISRM effectiveness. With the finding of partial mediation indicated in this study, this also suggests that the alignment of the governance of big data provides a partial intervention between CTOs leadership styles and ISRM effectiveness. Impact on Society: Big data breaches are increasing year after year, exposing sensitive information that can lead to harm to citizens. This study supports the broader scholarly consensus that to achieve ISRM effectiveness, better alignment of governance policies is essential. This research highlights the importance of higher-level governance as it relates to ISRM effectiveness, implying that ineffective governance could negatively impact both leadership and ISRM effectiveness, which could potentially cause reputational harm. Future Research: This study raised questions about CTO leadership styles, the specific governance structures involved related to the alignment of big data and ISRM effectiveness. While the research around these variables independently is mature, there is an overall lack of mediation studies as it relates to the impact of the alignment of the governance of big data. With the lack of alignment around a universal framework, evolving frameworks could be tested in future research to see if similar results are obtained.