Bobby Maddex interviews renowned Orthodox poet Scott Cairns about his new collection of poetry Idiot Psalms.

The focus of our lives when living with others. St Paul's Advice. Romans 15: 1- 7

Oban Elliott is ready to realise his lifelong dream of fighting at Madison Square Garden at UFC 309

A report on the summer riots shows asylum seekers and refugees were afraid to leave their homes.

Cameron Bell was seen wearing her work uniform as a group walked through Tamworth town centre.

The confluence of the internet of things (IoT) with smart grids has ushered in a paradigm shift in energy management, promising unparalleled efficiency, economic robustness and unwavering reliability. However, this integrative evolution has concurrently amplified the grid's susceptibility to cyber intrusions, casting shadows on its foundational security and structural integrity. Machine learning (ML) and deep learning (DL) emerge as beacons in this landscape, offering robust methodologies to navigate the intricate cybersecurity labyrinth of IoT-infused smart grids. While ML excels at sifting through voluminous data to identify and classify looming threats, DL delves deeper, crafting sophisticated models equipped to counteract avant-garde cyber offensives. Both of these techniques are united in their objective of leveraging intricate data patterns to provide real-time, actionable security intelligence. Yet, despite the revolutionary potential of ML and DL, the battle against the ceaselessly morphing cyber threat landscape is relentless. The pursuit of an impervious smart grid continues to be a collective odyssey. In this review, we embark on a scholarly exploration of ML and DL's indispensable contributions to enhancing cybersecurity in IoT-centric smart grids. We meticulously dissect predominant cyber threats, critically assess extant security paradigms, and spotlight research frontiers yearning for deeper inquiry and innovation.

This study focuses on the importance of monitoring student attendance in education and the challenges faced by educators in doing so. Existing methods for attendance tracking have drawbacks, including high costs, long processing times, and inaccuracies, while security and privacy concerns have often been overlooked. To address these issues, the authors present a novel internet of things (IoT)-based self-lecture attendance system (SLAS) that leverages smartphones and QR codes. This system effectively addresses security and privacy concerns while providing streamlined attendance tracking. It offers several advantages such as compact size, affordability, scalability, and flexible features for teachers and students. Empirical research conducted in a live lecture setting demonstrates the efficacy and precision of the SLAS system. The authors believe that their system will be valuable for educational institutions aiming to streamline attendance tracking while ensuring security and privacy.

Smart home devices are vulnerable to various attacks, including distributed-denial-of-service (DDoS) attacks. Current detection techniques face challenges due to nonlinear thought, unusual system traffic, and the fluctuating data flow caused by human activities and device interactions. Identifying the baseline for 'normal' traffic and suspicious activities like DDoS attacks from encrypted data is also challenging due to the encrypted protective layer. This work introduces a concept called synoptic crow search with recurrent transformer network-based DDoS attack detection, which uses the synoptic weighted crow search algorithm to capture varying traffic patterns and prioritise critical information handling. An adaptive recurrent transformer neural network is introduced to effectively regulate DDoS attacks within encrypted data, counting the historical context of the data flow. The proposed model shows effective performance in terms of low false alarm rate, higher detection rate, and accuracy.

Numerous Internet of Things (IoT) applications require brain-empowered intelligence. This necessity has caused the emergence of a new area called cognitive IoT (CIoT). Reasoning, planning, and selection are typically involved in decision-making within the network bandwidth limit. Consequently, data minimisation is needed. Therefore, this research proposes a novel technique to extract conscious data from a massive dataset. First, it groups the data using k-means clustering, and the entropy is computed for each cluster. The most prominent cluster is then determined by selecting the cluster with the highest entropy. Subsequently, it transforms each cluster element into an informative element. The most informative data is chosen from the most prominent cluster that represents the whole massive data, which is further used for intelligent decision-making. The experimental evaluation is conducted on the 21.25 years of environmental dataset, revealing that the proposed method is efficient over competing approaches.

This paper reports on research with a broad objective to examine the relationship between two organizational entities, the formally structured organization and informal organizational structures, in a changing operational environment, more specifically during military deployments. The paper draws on organizational and complexity paradigms; based on empirical evidence obtained through qualitative techniques, it describes mechanisms that enable a symbiotic relationship between these two organizational structures in a complex operational landscape. Substantive findings provide insights into the dynamics of the interactions between these structures and illuminate the relationship between three enabling factors – accountability, responsible autonomy, and command and control arrangements – that need to be considered to fully exploit the strengths inherent in both formal and informal structures. Based on these findings, a model for enhancement of organizational agility in response to changes in a complex operational environment is described. The model is predicated on feedback and mutual adjustment of the organization, institution and individual through sensemaking; it illustrates the dynamic nature of interactions that are required for such a response.

Aim/Purpose: The primary purpose of this study is to provide a cost-effective and artificial intelligence enabled security solution for IoT enabled healthcare ecosystem. It helps to implement, improve, and add new attributes to healthcare services. The paper aims to develop a method based on an artificial neural network technique to predict suspicious devices based on bandwidth usage. Background: COVID has made it mandatory to make medical services available online to every remote place. However, services in the healthcare ecosystem require fast, uninterrupted facilities while securing the data flowing through them. The solution in this paper addresses both the security and uninterrupted services issue. This paper proposes a neural network based solution to detect and disable suspicious devices without interrupting critical and life-saving services. Methodology: This paper is an advancement on our previous research, where we performed manual knowledge-based intrusion detection. In this research, all the experiments were executed in the healthcare domain. The mobility pattern of the devices was divided into six parts, and each one is assigned a dedicated slice. The security module regularly monitored all the clients connected to slices, and machine learning was used to detect and disable the problematic or suspicious devices. We have used MATLAB’s neural network to train the dataset and automatically detect and disable suspicious devices. The different network architectures and different training algorithms (Levenberg–Marquardt and Bayesian Framework) in MATLAB software have attempted to achieve more precise values with different properties. Five iterations of training were executed and compared to get the best result of R=99971. We configured the application to handle the four most applicable use cases. We also performed an experimental application simulation for the assessment and validation of predictions. Contribution: This paper provides a security solution for the IoT enabled healthcare system. The architectures discussed suggest an end-to-end solution on the sliced network. Efficient use of artificial neural networks detects and block suspicious devices. Moreover, the solution can be modified, configured and deployed in many other ecosystems like home automation. Findings: This simulation is a subset of the more extensive simulation previously performed on the sliced network to enhance its security. This paper trained the data using a neural network to make the application intelligent and robust. This enhancement helps detect suspicious devices and isolate them before any harm is caused on the network. The solution works both for an intrusion detection and prevention system by detecting and blocking them from using network resources. The result concludes that using multiple hidden layers and a non-linear transfer function, logsig improved the learning and results. Recommendations for Practitioners: Everything from offices, schools, colleges, and e-consultation is currently happening remotely. It has caused extensive pressure on the network where the data flowing through it has increased multifold. Therefore, it becomes our joint responsibility to provide a cost-effective and sustainable security solution for IoT enabled healthcare services. Practitioners can efficiently use this affordable solution compared to the expensive security options available in the commercial market and deploy it over a sliced network. The solution can be implemented by NGOs and federal governments to provide secure and affordable healthcare monitoring services to patients in remote locations. Recommendation for Researchers: Research can take this solution to the next level by integrating artificial intelligence into all the modules. They can augment this solution by making it compatible with the federal government’s data privacy laws. Authentication and encryption modules can be integrated to enhance it further. Impact on Society: COVID has given massive exposure to the healthcare sector since last year. With everything online, data security and privacy is the next most significant concern. This research can be of great support to those working for the security of health care services. This paper provides “Security as a Solution”, which can enhance the security of an otherwise less secure ecosystem. The healthcare use cases discussed in this paper address the most common security issues in the IoT enabled healthcare ecosystem. Future Research: We can enhance this application by including data privacy modules like authentication and authorisation, data encryption and help to abide by the federal privacy laws. In addition, machine learning and artificial intelligence can be extended to other modules of this application. Moreover, this experiment can be easily applicable to many other domains like e-homes, e-offices and many others. For example, e-homes can have devices like kitchen equipment, rooms, dining, cars, bicycles, and smartwatches. Therefore, one can use this application to monitor these devices and detect any suspicious activity.

Aim/Purpose: 5G and IoT are two path-breaking technologies, and they are like wall and climbers, where IoT as a climber is growing tremendously, taking the support of 5G as a wall. The main challenge that emerges here is to secure the ecosystem created by the collaboration of 5G and IoT, which consists of a network, users, endpoints, devices, and data. Other than underlying and hereditary security issues, they bring many Zero-day vulnerabilities, which always pose a risk. This paper proposes a security solution using network slicing, where each slice serves customers with different problems. Background: 5G and IoT are a combination of technology that will enhance the user experience and add many security issues to existing ones like DDoS, DoS. This paper aims to solve some of these problems by using network slicing and implementing an Intrusion Detection System to identify and isolate the compromised resources. Methodology: This paper proposes a 5G-IoT architecture using network slicing. Research here is an advancement to our previous implementation, a Python-based software divided into five different modules. This paper’s amplification includes induction of security using pattern matching intrusion detection methods and conducting tests in five different scenarios, with 1000 up to 5000 devices in different security modes. This enhancement in security helps differentiate and isolate attacks on IoT endpoints, base stations, and slices. Contribution: Network slicing is a known security technique; we have used it as a platform and developed a solution to host IoT devices with peculiar requirements and enhance their security by identifying intruders. This paper gives a different solution for implementing security while using slicing technology. Findings: The study entails and simulates how the IoT ecosystem can be variedly deployed on 5G networks using network slicing for different types of IoT devices and users. Simulation done in this research proves that the suggested architecture can be successfully implemented on IoT users with peculiar requirements in a network slicing environment. Recommendations for Practitioners: Practitioners can implement this solution in any live or production IoT environment to enhance security. This solution helps them get a cost-effective method for deploying IoT devices on a 5G network, which would otherwise have been an expensive technology to implement. Recommendation for Researchers: Researchers can enhance the simulations by amplifying the different types of IoT devices on varied hardware. They can even perform the simulation on a real network to unearth the actual impact. Impact on Society: This research provides an affordable and modest solution for securing the IoT ecosystem on a 5G network using network slicing technology, which will eventually benefit society as an end-user. This research can be of great assistance to all those working towards implementing security in IoT ecosystems. Future Research: All the configuration and slicing resources allocation done in this research was performed manually; it can be automated to improve accuracy and results. Our future direction will include machine learning techniques to make this application and intrusion detection more intelligent and advanced. This simulation can be combined and performed with smart network devices to obtain more varied results. A proof-of-concept system can be implemented on a real 5G network to amplify the concept further.

Simon Beech and another man were jailed in 2011 for trying to blow up a mosque in Stoke-on-Trent.

[…] Se også Karen Blakeman’s Bloginnlegg. […]

Activist investor Elliott Investment Management has taken a more than $5 billion stake in Honeywell International and is calling for the conglomerate to split into two separate companies.

A senior police officer warned Tuesday of calls for more rioting in Amsterdam, after dozens of people armed with sticks and firecrackers set a tram on fire Monday night as the city faces tensions following violence last week targeting fans of an Israeli soccer club.

A new "LinkOut" feature introduced by the National Center for Biotechnology Information (NCBI) NCBI’s allows the easy linking to content on PubMed and GenBank.  Dryad has already introduced the feature benefitting from easy and fast linking of associated content to the two resources.

PubMed and GenBank, from the National Center for Biotechnology Information (NCBI), are hugely popular resources for searching and retrieving article abstracts and nucleotide sequence data, respectively.  PubMed indexes the vast majority of the biomedical literature, and deposition of nucleotide sequences in GenBank or one of the other INSDC databases is a near universal requirement for publication in a scientific journal. LinkOut allows the data from an article to be distributed among repositories without compromising its discoverability.

Dryad, intends to expand on this feature in a couple of ways. First, it is planned to make Dryad content searchable via the PubMed and GenBank identifiers, which because of their wide use will provide a convenient gateway for other biomedical databases to link out to Dryad.  Second, open web standards will be used to expose relationships between content in Dryad and other repositories, not just NCBI.

Original source: Dryad news and views

BIOTALENT is a multilingual blended e-learning training programme to gain crucial skills and knowledge in biodiversity. Protecting life on earth in all its forms also involves introducing innovative ways to address pressing environmental issues of today. A strong investment in environmental education and a passion for science is therefore essential to this programme.

This one-day event, Taking place on 18 May 2017, in Brussels, will illustrate the uniqueness of the BIOTALENT project and programme in the way environmental education is brought to the course participant. The various expert speakers that are invited are all very passionate about innovation in education and the new ways in which scientific and environmental education can contribute to conserving biodiversity.  

To register and find out more visit the official announcement.

"Obviously I don't care who you play for or what team you are, that's not a good formula right there."

The post Tom Brady and Bill Belichick shared their opinions on Jerod Mayo, Patriots’ struggles appeared first on Boston.com.

"They never really called out Russell on certain things, but Bill would call Tom out on everything," Bennett said, comparing the Seahawks and Patriots in the 2010s.

The post Michael Bennett recalled how Bill Belichick treated Tom Brady as harshly as other Patriots appeared first on Boston.com.

"I could never have reached this area of growth that I needed to."

The post Tom Brady credited this for helping him find success early on with the Patriots appeared first on Boston.com.

"After today, I don't know how you don't walk away and just feel better about that quarterback position in there with Drake Maye."

The post Former Patriot Ted Johnson explained why Drake Maye is preferable to ‘mopey’ Caleb Williams appeared first on Boston.com.

"As I always say, I use this as a microphone not only to give you guys information, but also to talk to the players. So, players, this is how we need to play going forward."

The post ‘This is who we are’: Patriots’ Jerod Mayo used his Monday press conference to ‘talk to the players’ appeared first on Boston.com.

Drake Maye was a star, but the defense stole the show. Reporter Khari A. Thompson examines if it was a turning point for New England.

The post Watch: Is the Patriots’ win a sign of improvement? Or a fluke? appeared first on Boston.com.

"To me, the bigger thing is just where the Bears are."

The post Bill Belichick focuses more on Bears’ dysfunction than Patriots’ strides after win in Chicago appeared first on Boston.com.

"I just felt like I didn’t fit into the situation."

The post Former Pro Bowler explains why he ‘didn’t like’ playing for the Patriots  appeared first on Boston.com.

The Patriots are now 3-7 after Sunday’s win over the Bears.

The post Patriots may have a long way to go, but this win showed they are playing hard for Jerod Mayo appeared first on Boston.com.

“This is who we are.”

The post In this win over Bears, there were clear similarities to Patriots’ season-opening victory appeared first on Boston.com.

Plus: Long-snapper and Naval Reserve officer Joe Cardona joins the show to commemorate Veterans Day.

The post ‘The Quick Snap’ podcast: Rams Week brings back Super Bowl LIII memories for Patriots appeared first on Boston.com.

The former Patriots QB cited McDaniels's halftime adjustments as a major reason for the team's most recent Super Bowl title.

The post Brian Hoyer: Josh McDaniels’s quick thinking won Super Bowl LIII for the Patriots appeared first on Boston.com.

"He's the one who took my game to a whole new level," Gronkowski said of Belichick, adding that he thinks his former coach will be "unbelievable" as a television analyst.

The post Rob Gronkowski discussed why ending up with Bill Belichick, Patriots was ‘perfect fit’ appeared first on Boston.com.

"I think it was a great play to start Jacoby Brissett, let Drake [Maye] develop."

The post Rob Gronkowski is the latest Patriots icon to defend decision to start Jacoby Brissett over Drake Maye appeared first on Boston.com.

"It will be the same old story with Drake Maye in, if he replaces Jacoby Brissett."

The post Rob Gronkowski warns Patriots fans calling for Drake Maye to start  appeared first on Boston.com.

“Dudes on Dudes with Gronk and Jules” premiered on Tuesday.

The post Former Patriots Rob Gronkowski and Julian Edelman announce new podcast appeared first on Boston.com.

With Bill Burr back hosting 'Saturday Night Live,' the 'SNL' writing staff came up with three Boston-adjacent sketches for the Canton native.

The post Watch Bill Burr play a ‘real Patriots fan’ on ‘SNL’ appeared first on Boston.com.

A series of webinars will confront the root causes of the racist riots that took place over the summer

Voluntary sector leaders say they share the sector’s ‘shock and horror’ at the violent scenes across the country

A recent report by Black Lotus Labs has revealed a multi-year campaign aimed at vulnerable small home/small office (SOHO) routers.

Tagatose is 90% as sweet as table sugar, but with 62% fewer calories than regular sugar, with no bitter aftertaste. It is also ultra-low on the glycemic index, making it a suitable sweetener for people with diabetes or anyone watching their health. 

Sirio Pharma Co., Ltd. (Sirio), a global manufacturer of nutritional supplements, launched BloomDays^TM, a postbiotic gummy product featuring EpiCor®, Cargill’s postbiotic ingredient.

The new Probiotic+ Gummies come at a time when gut and immune health are top-of-mind.

New distribution of its all-new Mini Probiotic Fruit Bar Variety Pack at Sam’s Clubs nationwide has contributed significantly to these increases, as That’s it. probiotic products are now available to millions of Sam’s Club shoppers across the country for the first time. 

Consumer interest in fermented foods, immune health and gut health has soared, alongside interest in the connection between gut health and the immune system.

LOLA Snack's current success is an endorsement as an emerging leader in the bar space, with products available nationwide in more than 3,000 doors across the natural and conventional grocery channels.

The new Good Culture Probiotic Milk combines the taste and nutrition of lactose-free milk with a patented probiotic shown to help support digestion and a healthy immune system.