Fr. Pat looks at God’s providence with respect to three things: our sin, the moral order, and our conduct.

Attention Interest Desire Action (AIDA) is a copy formula that uses features and benefits to move prospects through the customer journey.

The post Attention Interest Desire Action: Use this to get, and keep, people reading appeared first on Coaching and training to scale your copywriting business, plus programs for new copywriters, startups, and marketers.

Now when you search for restaurants on Google Local (formerly Google Maps), you get details about the restaurant (location, food, reviews) along with its location. (example)

The NASUWT union said that despite a year of waiting for the advice to be published, there was a "lack of practical guidance" from the government.

A man in his 30s is being questioned after a man in his 60s was found dead in a County Laois hotel.

A 34-year-old man was arrested in connection with the incident and has been released pending further inquiries.

The cottage, located on Mar Lodge Estate near Braemar, was visited by the queen on her trips to Balmoral.

Police say a number of cars, a wheelie bin and fence were deliberately set alight.

Dima Kim also claims groups of teenagers threw eggs at his restaurant in Kimberley, Nottinghamshire.

South African FA president Danny Jordaan is alleged to have used the organisation's resources for personal gain between 2014 and 2018.

Liverpool City Council is expected to announce next year whether it will approve the hotel's plans.

Watch highlights as a Kyle Wootton goal in extra time gives League One Stockport County a narrow victory over National League high-fliers Forest Green Rovers in the first round of the FA Cup.

Counterterrorism police say the officer is suspected of expressing support for the proscribed group online.

Councillors reject the plans saying they have concerns over a lack of public transport.

A restriction zone has been extended to cover the island and part of Hampshire.

Bank of England interest rates affect the mortgage, loan and savings rates for millions of people.

Interest rates were cut to 4.75% but the Bank expects inflation to creep higher after last week's Budget.

Police were called after a witness reported a man being assaulted in Rugby.

Palestine Action said its members blocked the entrance to two Elbit Systems UK sites in Bristol.

Niels Wittich's unexpected departure as Formula 1's race director recreates the circumstances in which Michael Masi was thrown in at the deep end.

We're excited to announce a Search Central Live event in Bucharest, Romania on April 4, 2024. Search Central Live is our global Google Search event series specifically for site owners, publishers, and SEOs.

Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. Here neural network weights are considered as regularization parameter values instead of explicitly specifying them. The weights are modified during the training through the supply of training set data. The desired response of the network is in the form of estimated value of the current pixel. This estimated value is used to modify the network weights such that the restored value produced by the network for a pixel is as close as to this desired response. One of the advantages of the proposed approach is that, once the neural network is trained, images can be restored without having prior information about the model of noise/blurring with which the image is corrupted.

Aiming at the problems of high error rate, low evaluation accuracy and low investment return in traditional methods, a random forest-based e-bank investment risk evaluation method is proposed. First, establish a scientific e-bank investment risk evaluation index system. Then, G1-COWA combined weighting method is used to calculate the weights of each index. Finally, the e-bank investment risk evaluation index data is taken as the input vector, and the e-bank investment risk evaluation result is taken as the output vector. The random forest model is established and the result of e-banking investment risk evaluation is obtained. The experimental results show that the maximum relative error rate of this method is 4.32%, the evaluation accuracy range is 94.5~98.1%, and the maximum return rate of e-banking investment is 8.32%. It shows that this method can accurately evaluate the investment risk of electronic banking.

Physical and social aspects each make up a separate part of servicescape. Together, these make up the servicescape. Although previous research has frequently investigated these aspects separately, the purpose of this study is to simultaneously find out the impact of both aspects within the casual dining restaurants' context. In total, 462 customers in Delhi were polled for this study, and structural equation modelling was used to analyse the data. According to the results, both the social and physical parts of the servicescape have the ability to affect how satisfied customers are, which in turn can affect how they behave in the future.

The supply chains of the Canadian forest products industry are largely dependent on accurate demand forecasts. The USA is the major export market for the Canadian forest products industry, although some Canadian provinces are also exporting forest products to other global markets. However, it is very difficult for each province to develop accurate demand forecasts, given the number of factors determining the demand of the forest products in the global markets. We develop multi-layer feed-forward artificial neural network (ANN) models for demand forecasting of the Canadian forest products industry. We find that the ANN models have lower prediction errors and higher threshold statistics as compared to that of the traditional models for predicting the demand of the Canadian forest products. Accurate future demand forecasts will not only help in improving the short-term profitability of the Canadian forest products industry, but also their long-term competitiveness in the global markets.

Aim/Purpose: Bioengineering is a burgeoning interdisciplinary learning domain that could inspire the imaginations of elementary aged children but is not traditionally taught to this age group for reasons unrelated to student ability. This pilot study presents the BacToMars videogame and accompanying curricular intervention, designed to introduce children (aged 7-11) to foundational concepts of bioengineering and to the interdisciplinary nature of scientific endeavors. Background: This pilot study explores the bioengineering-related learning outcomes and attitudes of children after engaging with the BacToMars game and curriculum intervention. Methodology: This study drew on prior findings in game-based learning and applied them to a videogame designed to connect microbiology with Constructionist microworlds. An experimental comparison showed the learning and engagement affordances of integrating this videogame into a mixed-media bioengineering curriculum. Elementary-aged children (N = 17) participated in a 9-hour learning intervention, with one group of n = 8 children receiving the BacToMars videogame and the other group (n = 9) receiving traditional learning activities on the same content. Pre- and post-surveys and interview data were collected from both groups. Contribution: This paper contributes to education research on children’s ability to meaningfully engage with abstract concepts at the intersection of science and engineering through bioengineering education, and to design research on developing educational technology for introducing bioengineering content to elementary school children. Findings: Children in both groups showed improved knowledge and attitudes related to bioengineering. Children who used BacToMars showed slightly stronger performance on game-specific concepts, while children in the control condition showed slightly higher generalized knowledge of bioengineering concepts. Recommendations for Practitioners: Practitioners should consider bioengineering as a domain for meaningful, interdisciplinary learning in elementary education.. Recommendation for Researchers: Design researchers should develop playful ways to introduce bioengineering concepts accurately and to engage children’s imaginations and problem-solving skills. Education researchers should further investigate developmentally appropriate ways to introduce bioengineering in elementary education. Impact on Society: BacToMars introduces a meaningful scenario to contextualize complex con-cepts at the intersection of science and engineering, and to engage children in real-world, interdisciplinary problem solving. Future Research: Future research should explore BacToMars and bioengineering curricula for elementary-aged children in larger samples, with longer intervention times.

Aiming to improve the accuracy, recall, and F1 value of data classification, this paper proposes an applied university innovation and entrepreneurship data classification method based on the nearest neighbour criterion. Firstly, the decision tree algorithm is used to mine innovation and entrepreneurship data from applied universities. Then, dynamic weight is introduced to improve the similarity calculation method based on edit distance, and the improved method is used to realise data de-duplication to avoid data over fitting. Finally, the nearest neighbour criterion method is used to classify applied university innovation and entrepreneurship data, and cosine similarity is used to calculate the similarity between the samples to be classified and each sample in the training data, achieving data classification. The experimental results demonstrate that the proposed method achieves a maximum accuracy of 96.5% and an average F1 score of 0.91. These findings indicate a high level of accuracy, recall, and F1 value for data classification using the proposed method.

In order to improve the identification accuracy, accuracy and time-consuming of traditional financial risk identification methods, this paper proposes a risk identification method for financial abnormal data based on weighted random forest. Firstly, SMOTE algorithm is used to collect abnormal financial data; secondly, the original accounting data is decomposed into features, and the features of abnormal data are extracted through random forests; then, the index weight is calculated according to the entropy weight method; finally, the negative gradient fitting is used to determine the loss function, and the weighted random forest method is used to solve the loss function value, and the recognition result is obtained. The results show that the identification accuracy of this method can reach 99.9%, the accuracy rate can reach 96.06%, and the time consumption is only 6.8 seconds, indicating that the risk identification effect of this method is good.

Aim/Purpose: The aim of this study was to develop a prototype of an information-generating computer tool designed to automatically map the dental restorations in a panoramic radiograph. Background: A panoramic radiograph is an external dental radiograph of the oro-maxillofacial region, obtained with minimal discomfort and significantly lower radiation dose compared to full mouth intra-oral radiographs or cone-beam computed tomography (CBCT) imaging. Currently, however, a radiologic informative report is not regularly designed for a panoramic radiograph, and the referring doctor needs to interpret the panoramic radiograph manually, according to his own judgment. Methodology: An algorithm, based on techniques of computer vision and machine learning, was developed to automatically detect and classify dental restorations in a panoramic radiograph, such as fillings, crowns, root canal treatments and implants. An experienced dentist evaluated 63 panoramic anonymized images and marked on them, manually, 316 various restorations. The images were automatically cropped to obtain a region of interest (ROI) containing only the upper and lower alveolar ridges. The algorithm automatically segmented the restorations using a local adaptive threshold. In order to improve detection of the dental restorations, morphological operations such as opening, closing and hole-filling were employed. Since each restoration is characterized by a unique shape and unique gray level distribution, 20 numerical features describing the contour and the texture were extracted in order to classify the restorations. Twenty-two different machine learning models were evaluated, using a cross-validation approach, to automatically classify the dental restorations into 9 categories. Contribution: The computer tool will provide automatic detection and classification of dental restorations, as an initial step toward automatic detection of oral pathologies in a panoramic radiograph. The use of this algorithm will aid in generating a radiologic report which includes all the information required to improve patient management and treatment outcome. Findings: The automatic cropping of the ROI in the panoramic radiographs, in order to include only the alveolar ridges, was successful in 97% of the cases. The developed algorithm for detection and classification of the dental restorations correctly detected 95% of the restorations. ‘Weighted k-NN’ was the machine-learning model that yielded the best classification rate of the dental restorations - 92%. Impact on Society: Information that will be extracted automatically from the panoramic image will provide a reliable, reproducible radiographic report, currently unavailable, which will assist the clinician as well as improve patients’ reliance on the diagnosis. Future Research: The algorithm for automatic detection and classification of dental restorations in panoramic imaging must be trained on a larger dataset to improve the results. This algorithm will then be used as a preliminary stage for automatically detecting incidental oral pathologies exhibited in the panoramic images.

Can questions sent to Open-Educational-Resource (OER) websites such as Ask-An-Expert serve as indicators for students’ interest in science? This issue was examined using an online questionnaire which included an equal number of questions about the topics “space” and “nutrition” randomly selected from three different sources: a 5th-grade science textbook, the “Ask-An-Expert” website, and questions collected from other students in the same age group. A sample of 113 5th-graders from two elementary schools were asked to rate their interest level in finding out the answer to these questions without knowledge of their source. Significant differences in students’ interest level were found between questions: textbook questions were ranked lowest for both subjects, and questions from the open-resource were ranked high. This finding suggests that questions sent to an open-resource could be used as an indicator of students’ interest in science. In addition, the high correlation of interests expressed by students from the two schools may point to a potential generalization of the findings. This study contributes by highlighting OER as a new and promising indicator of student interest, which may help bring “student voices” into mainstream science teaching to increase student interest in science.

Underpinned by stakeholder and agency theories, this study adopts a qualitative multiple-case study approach to explore and analyse various stakeholder interests and how they affect digitalisation in the health sector of a developing country (DC). The study's findings revealed that four key stakeholder interests - political, regulatory, leadership, and operational - affect digitalisation in the health sector of DCs. Further, the study found that operational and leadership interests were emergent and were triggered by some digitalisation initiatives, which included, inter alia, the use of new eHealth software and the COVID-19 vaccination exercise, which established new structures and worked better through digitalisation. Conversely, political and regulatory interests were found to be relatively enduring since they existed throughout the pre- and post-digitalisation eras. The study also unearthed principal-agent conflicts arising from technological, organisational and regulatory factors that contribute to the paradoxical outcomes of digitalisation in the health sector.

A new Trump administration will be far better prepared to restore Constitutional order than the first Trump administration.

For now, there are several good choices for gun owners that DeWine can make, a few problematic ones, and one that’s completely unacceptable, his previous pick Dolan.

KUALA LUMPUR: Former finance minister Tun Daim Zainuddin was laid to rest at the Bukit Kiara Muslim Cemetery 1 at 6.07 pm today.

The hearse carrying his remains arrived at the burial site at 5.16 pm.

Approximately 200 family members and friends were present for the burial, which took place under overcast skies following the rain.

Daim, 86, died at 8.21 am today while receiving treatment at Assunta Hospital in Petaling Jaya.

His remains were brought to his residence in Persiaran Bukit Tunku at 11.30 am, before being taken to the Federal Territory Mosque in Jalan Duta, where the funeral prayer was performed led by the mosque’s grand imam Jamal Abdul Halim.

Among the prominent figures who paid their last respects at Daim’s residence were former prime minister Tun Dr Mahathir Mohamad, Deputy Prime Minister Datuk Seri Fadillah Yusof, former Senate president Tan Sri Dr Rais Yatim, Opposition leader Datuk Seri Hamzah Zainudin and Muar Member of Parliament Syed Saddiq Syed Abdul Rahman.

Daim, whose full name is Che Abdul Daim Zainuddin, served as Finance Minister twice. His first term was from 1984 to 1991 under Dr Mahathir’s administration, where he played a key role in managing Malaysia’s economy and implementing structural adjustments.

He returned to the role of Finance Minister for a second term from 1999 to 2001, once again under Dr Mahathir, to tackle the economic challenges resulting from the Asian financial crisis.

Born on April 29, 1938, in Kedah, Daim served as a Member of Parliament for five terms between 1982 and 2004.

SUBANG JAYA: The Domestic Trade and Cost of Living Ministry (KPDN) will summon the Johor Indian Muslim Entrepreneurs Association tomorrow to seek clarification on its proposal to raise food prices by five per cent starting next year.

Minister Datuk Armizan Mohd Ali said KPDN had issued a notice to the association under Section 21 of the Price Control and Anti-Profiteering Act 2011, requiring an explanation for the proposed price increase.

“Since this association has only just made the announcement for next year, we are taking proactive steps to prevent anyone from taking advantage of the situation.

“This notice is to summon the association to provide an explanation for their announcement regarding the price increase,” he told reporters after the signing of a Memorandum of Understanding (MoU) on price data sharing between KPDN, Mydin, and Redtick here today.

According to media reports, about 300 mamak restaurant operators in Johor expressed concerns about rising operating costs, with the implementation of the minimum wage next year expected to further increase expenses.

As a result, Indian Muslim restaurant operators are expected to raise food prices by at least five per cent at their premises from next year.

Elaborating, Armizan cited an example from OPS Kesan 2.0, where the ministry had taken action against those attempting to take advantage of the implementation of targeted diesel subsidies and the sales and service tax (SST) hike.

“Some parties announced a price increase, but after being summoned and asked to explain, it was found that their reasons were unfounded.

“For instance, the construction sector claimed that the price increase was due to the implementation of the targeted diesel subsidies, even though it is not eligible to use subsidised diesel,” he said.

Armizan said, therefore, that KPDN had issued a notice and taken action under OPS Kesan 2.0 to ensure that price increases were only made based on relevant, actual costs.

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In its recently released mobile device best practices guide, the National Security Agency (NSA) goes old-school geek and advises people to turn their phones off and on again....

The best online banks charge you fewer fees and pay you more interest. If you don’t mind doing your banking digitally rather than in person, they’re an excellent option. In this article, I’ll explain the factors you should consider when comparing online banks. I’ll also list some of the online banks I recommend and tell […]

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Husband detained as mother of two found dead in Landhi.