The French view of their education system as one of the best in the world is hardly reflected by their leading establishments' low rankings in the world.
In the top 100 world universities or further education establishments, France manages just two entries at 26th and 28th, the ENS and the Ecole Polytechnique.
The ENS and the Ecole Polytechnique have a combined annual intake of 694 students. They are 'Grand Ecoles' with all the snoberry and elitism that one associates with the finishing (...)

A bodybuilding and weight training book review.

Foods that provide the human body with the correct fuel to boost and strengthen the immune system.

Selecting the best cheap computer system that is right for you and is of high quality.

Cheap Computer Guide - Learn how to set up and use your new computer system.

Choosing the best Surge Suppressor and UPS Backup System for your Computer.

ClickBank highest-rated income generating system. From the desk of the Operations Manager at ClickBank - I regularly refer affiliates that are searching for these tools directly to 1stPromotion Pro. The 1stPromotion Pro system offers a very comprehensive Clickbank search tool. Their storefront and search box plug-in offer 100% search capability of our Marketplace with great accuracy, and they continue to develop serious tools for serious Clickbank affiliates. Best Regards, Jennifer J., Operations Manager, ClickBank.

How To Build Your Own Automatic Lawn Sprinkler System

Clip ==> "Loudblog is a sleek and easy-to-use Content Management System (CMS) for publishing audio content on the web. It automatically generates a skinnable website and an RSS-Feed for Podcasting. Just upload your audio files, add some notes and links, and you’re done!" Thoughts ==> Pretty slick. Link ==> Loudblog.

As a car wash owner, you know that providing your customers with high-quality services is key to your success. One service you should consider investing in is a spot-free car rinse system. Here are five reasons why: 

1. Provides a High-Quality Finish A spot-free car rinse system ensures that your customers' vehicles have a high-quality finish after a wash. With a spot-free rinse, no water spots or streaks will be left on the car. This will leave your customers satisfied with the quality of the wash and more likely to return for future services. Your customers will not have to re-wash the windows or body of the car to get rid of water spot stains or streaks. 

2. Saves Time and Money A spot-free car rinse system can save you time and money in the long run. With a spot-free rinse, there's no need to spend extra time drying the vehicle or using additional products to remove water spots. This means you can wash more cars in less time and reduce the labor required. Increasing efficiency is the key to a successful business. 

3. Attracts More Customers A spot-free car rinse system can also help you attract more customers. Customers are more likely to choose a car wash that offers a spot-free rinse over one that doesn't. This is because they know that the spot-free rinse will provide a higher quality finish and protect their vehicle's paint. Offering a high-quality product will help ensure you always have customers waiting to use your car wash. 

4. Protects Paint and Finishes A spot-free car rinse system can help protect your customers' vehicle paint and finishes. Hard water and mineral deposits in regular tap water can damage vehicle paint and finishes over time. A spot-free rinse removes these minerals and protects the paint and finish from damage.

5. Provides a Competitive Edge Finally, investing in a spot-free car rinse system can provide you with a competitive edge. With a spot-free rinse, you can offer a higher-quality wash than your competitors. This can help you stand out in a crowded market and attract more customers. 

In conclusion, a spot-free car rinse system is a valuable investment for any car wash owner. It provides a high-quality finish, saves time and money, attracts more customers, protects paint and finishes, and provides a competitive edge. If you want to improve the quality of your car wash services and attract more customers, consider investing in a spot-free car rinse system. 

Why do you need a solar system for your Commercial or Industrial Business? Solar power is clean and renewable energy, where the panels harvest all the energy from the sun. The energy is converted into electricity that can run small to large companies. Commercial solar panel systems are a great way to reduce huge electricity [...]

The post C & I Solar Systems the Way to Go in South Africa appeared first on Braves News World.

California's Aventon hauled itself into the utility bike world last year with the Abound cargo ebike. Now the company has added a short-tail version, which comes with an all-new smart system for peace-of-mind security as well as enhanced connectivity.

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Category: Bicycles, Transport

Tags: ebikes, Pedal-assisted, cargo bike, Security

When a raging forest fire is approaching a community, a good rainfall greatly reduces the chances of the flames actually reaching the buildings. But if rain isn't in the forecast … well, that's where the RainStream tower is designed to come in.

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Category: Good Thinking, Lifestyle

Tags: Firefighting, Forest

(Telecompaper) Amdocs has announced a five-year extension of its contract with Vodafone Italia to update the operator's IT systems...

(Telecompaper) Tele2 Latvia has implemented a protective system that automatically blocks calls from alternate mobile numbers from foreign networks, providing customers with safer voice communication...

(Telecompaper) Enterprise equipment vendor Lancom Systems has announced the launch of its first Wi Fi 7-enabled access points...

University of Florida researchers develop AI system that detects pain in goats through facial expressions, marking significant advance in animal care with potential human applications.

As third-party risk continues to be a critical concern for enterprises, the need for effective risk management strategies has never been more pressing. We spoke with Bob Maley, CISO of third-party risk management specialist Black Kite, to get his insights into effective strategies for managing this challenge along with the nuanced risks and necessary tactics to secure enterprise environments against sophisticated threats. BN: How can organizations assess and manage risks associated with emerging technologies? BM: Organizations need a proactive approach that begins with detailed assessments to identify potential risks. These assessments should focus on the technology’s architecture, possible attack vectors,… [Continue Reading]

A new system called Pomelo has been developed to estimate population densities during emergencies with unerring accuracy using artificial intelligence. The system has been designed to provide a fast and accurate mini census in times of emergency, such as natural disasters or war. Pomelo, created as a joint venture between the International Red Cross, Lausanne Polytechnic and Bin Khalifa University in Qatar, uses large sets of data from remote sensing systems, and uses a neural network to identify likely population...

The post Pomelo – New AI System Offers Benefits For Humanitarian Relief appeared first on The Red Ferret Journal.

Listen for the exploration of a personal G.P.S. – GOD Positioning System to help guide you on your journey through life. Bill is joined by Father Barnabas Powell, as they discuss the 3 essential first steps you need to take in order to begin your journey, and the 3 critical questions you need to answer to discern and live your calling.

Supporting each other with our health efforts can be an act of love. Rita discusses the importance of taking advantage of the buddy system.

Elissa reminds us that the body of Christ is a living organism, and we remove pieces of it to the detriment of the whole.

Fr. John draws attention to a feature of Byzantine statecraft in which the Emperor persecuted and manipulated the leadership of the Church.

Fr. Ted explains the way in which decisions, like recognizing saints, are made in the Orthodox Church through a synodal system.

Dr. Rossi once again interviews Fr. Sean Levine, a graduate of St. Vladimir's Orthodox Theological Seminary and now chaplain in the United States Army, regarding Family Systems Theory and how it applies to our healing the growth.

Dr. Albert Rossi discusses how we express our beliefs as Orthodox Christians with Dr. Peter Bouteneff, Professor of Systematic Theology at St. Vladimir's Orthodox Theological Seminary in Younkers, NY.

Bobby Maddex, the Director of Digital Media for Ancient Faith Ministries, interviews Dr. John Burgess, the James Henry Snowden, professor of Systematic Theology at Pittsburgh Theological Seminary.

Here is part two of my perspective on race matters. Again, this is my own perspective, but it's important that we keep communicating and trying to understand one another.

What is a flywheel? My first real life encounter with a flywheel was on a water well in South Africa. I was working at an orphanage where one of our projects was to provide a reliable water source. Because electricity was unreliable, we mounted a hand-powered pump. But we couldn’t use the kind of pump […]

I used to keep the records on my clients, projects, invoices, etc. in Excel sheets and to generate my monthly invoices manually. However, with growing client base, invoicing became a time-consuming and annoying work that had to be performed at the … Continue reading →

As some of you already know, the TR?ICTIO Invoicing System is a simple invoicing platform focusing on freelance translators. I have been developing the system for about 12 months and after extensive personal testing and actual use in my business, as … Continue reading →

Advances in mobile technologies are opening new possibilities to support collaborative activities through mobile devices. Unfortunately, mobile collaborative systems have been difficult to conceive, design and implement. These difficulties are caused in part by their unclear requirements and developers' lack of experience with this type of systems. However, several requirements involved in the collaborative back-end of these products are recurrent and should be considered in every development. This paper introduces a characterization of mobile collaboration and a framework that specifies a list of general requirements to be considered during the conception and design of a system in order to increase its probability of success. This framework was used in the development of two mobile collaborative systems, providing developers with a base of back-end requirements to aid system design and implementation. The systems were positively evaluated by their users.

Decision-making involves choosing between one ore more alternatives, to achieve one or more goals. To support this process, there are decision support systems that employ different approaches, supporting groups or not. Generally, however, these systems do not have great flexibility; their users have to follow preestablished decision methods. This paper, after exposing some decision-making processes, describes a system, LaSca (from Large Scale), to support decisions in large-scale groups. This system, besides allowing effective achievement of the benefits of deciding in large groups through the proper structuring of the group, also allows its users to define themselves how this structuring will happen, based or not in the existing theories on the subject. So, in addition to facilitate the decision-making process, LaSca also allows its users to decide how to decide.

This paper presents a system that simulates, in real time, the volumetric deformation of muscles during human locomotion. We propose a two-layered motion model. The requirements of realism and real time computation lead to a hybrid locomotion system that uses a skeleton as first layer. The muscles, represented by an anatomical surface model, constitute the second layer, whose deformations are simulated with a finite element method (FEM). The FEM subsystem is fed by the torques and forces got from the locomotion system, through a line of action model, and takes into account the geometry and material properties of the muscles. High level parameters (like height, weight, physical constitution, step frequency, step length or speed) allow to customize the individuals and the locomotion and therefore, the deformation of the persons' muscles.

E-speranto is a formal language for generating multilingual texts on the World Wide Web. It is currently still under development. The vocabulary and grammar rules of E-speranto are based on Esperanto; the syntax of E-speranto, however, is based on XML (eXtensible Markup Language). The latter enables the integration of documents generated in E-speranto into web pages. When a user accesses a web page generated in E-speranto, the interpreter interprets the document into a chosen natural language, which enables the user to read the document in any arbitrary language supported by the interpreter.

The basic parts of the E-speranto interpreting system are the interpreters and information resources, which complies with the principle of separating the interpretation process from the data itself. The architecture of the E-speranto interpreter takes advantage of the resemblance between the languages belonging to the same linguistic group, which consequently results in a lower production cost of the interpreters for the same linguistic group.

We designed a proof-of-concept implementation for interpreting E-speranto in three Slavic languages: Slovenian, Serbian and Russian. These languages share many common features in addition to having a similar syntax and vocabulary. The content of the information resources (vocabulary, lexicon) was limited to the extent that was needed to interpret the test documents. The testing confirmed the applicability of our concept and also indicated the guidelines for future development of both the interpreters and E-speranto itself.

Software components are used in various application domains, and many component models and frameworks have been proposed to fulfill domain-specific requirements. The general trend followed by these approaches is to provide ad-hoc models and tools for capturing these requirements and for implementing their support within dedicated runtime platforms, limited to features of the targeted domain. The challenge is then to propose more flexible solutions, where components reuse is domain agnostic. In this article, we present a framework supporting compositional construction and development of applications that must meet various extra-functional/domain-specific requirements. The key points of our contribution are: i) We target development of component-oriented applications where extra-functional requirements are expressed as annotations on the units of composition in the application architecture. ii) These annotations are implemented as open and extensible component-based containers, achieving full separation of functional and extra-functional concerns. iii) Finally, the full machinery is implemented using the Aspect-Oriented Programming paradigm. We validate our approach with two case studies: the first is related to real-time and embedded applications, while the

Service composition is an effective approach for large-scale multimedia delivery. In previous works, user requirement is represented as one fixed functional path which is composed of several functional components in a certain order. Actually, there may be several functional paths (deliver different quality level multimedia data, e.g., image pixel, frame rate) that can meet one request. And due to the diversity of devices and connections in pervasive environment, system should choose a suitable media quality delivery path in accordance with context, instead of one fixed functional path. This paper presents a deep study of multimedia delivery problem and proposes an on-line algorithm LDPath and an off-line centralized algorithm LD/RPath respectively. LDPath aims at delivering multimedia data to end user with lowest delay by choosing services to build delivery paths hop-by-hop, which is adapted to the unstable open environment. And LD/RPath is developed for a relatively stable environment, which generates delivery paths according to the trade-off between delay and reliability metrics, because the service reliability is also an important fact in such scenario. Experimental results show that both algorithms have good performance with low overhead to the system.

Project monitoring plays a crucial role in project management, which is a part of every stage of a project's life-cycle. Nevertheless, along with the increasing ratio of outsourcing in many companies' strategic plans, project monitoring has been challenged by geographically dispersed project teams and culturally diverse team members. Furthermore, because of the lack of a uniform standard, data exchange between various project monitoring software becomes an impossible mission. These factors together lead to the issue of ambiguity in project monitoring processes. Ontology is a form of knowledge representation with the purpose of disambiguation. Consequently, in this paper, we propose the framework of an ontology-based real-time project monitoring system (ORPSM), in order to, by means of ontologies, solve the ambiguity issue in project monitoring processes caused by multiple factors. The framework incorporates a series of ontologies for knowledge capture, storage, sharing and term disambiguation in project monitoring processes, and a series of metrics for assisting management of project organizations to better monitor projects. We propose to configure the ORPMS framework in a cloud environment, aiming at providing the project monitoring service to geographically distributed and dynamic project members with great flexibility, scalability and security. A case study is conducted on a prototype of the ORPMS in order to evaluate the framework.

This paper presents a sequential edge swap (SQES) mechanism to design a robust network for a healthcare system utilising energy and communication range of nodes. Two operations: sequential degree difference operation (SQDDO) and sequential angle sum operation (SQASO) are performed to enhance the robustness of network. With equivalent degrees of nodes from the network's centre to its periphery, these operations build a robust network structure. Disaster attacks that have a substantial impact on the network are carried out using the network information. To identify a link between the malicious and disaster attacks, the Pearson coefficient is employed. SQES creates a robust network structure as a single objective optimisation solution by changing the connections of nodes based on the positive correlation of these attacks. SQES beats the current methods, according to simulation results. When compared to hill-climbing algorithm, simulated annealing, and ROSE, respectively, the robustness of SQES is improved by roughly 26%, 19% and 12%.

At present, there is a need for an authentic and fast approach to certificate verification. Which verifies and authenticates the certificates to reduce the extent of duplicity and time. An academic certificate is significant for students, the government, universities, and employers. Academic credentials play a vital role in the career of students. A few people manipulate academic documents for their benefit. There are cases identified where people produced fake academic certificates for jobs or higher education admission. Various research works are developing a secure model to verify genuine academic credentials. This research article proposed a new security model which contains several security algorithms such as timestamps, hash function, digital signature, steganography, and blockchain. The proposed model issues secure digital academic certificates. It enhanced security measures and automated educational certificate verification using blockchain technology. The advantages of the proposed model are automated, cost-effective, secured, traceable, accurate, and time-saving.

Although artificial intelligence provides a new method to gather, process, analyse data, generate insights, and offer customised solutions, such methods could change how marketers deal with customers, and there is a lack of literature to portray the application of artificial intelligence in marketing. This study aims to recognise and portray the use of artificial intelligence from a marketing standpoint, as well as to provide a conceptual framework for the application of artificial intelligence in marketing. This study uses a systematic literature review analysis as a research method to achieve the aims. Data from 142 articles were extracted from the Scopus database using relevant search terms for artificial intelligence and marketing. The systematic review identified significant usage of artificial intelligence in conversational artificial intelligence, content creation, audience segmentation, predictive analytics, personalisation, paid ads, sales forecasting, dynamic pricing, and recommendation engines and the bibliometric analysis produced the trend in co-authorship, citation, bibliographic coupling, and co-citation analysis. Practitioners and academics may use this study to decide on the marketing area in which artificial intelligence can be invested and used.

The performance of a building's internal environment, which includes the air temperature, lighting and acoustics, is what determines the quality of the environment inside the building. We present a thermal model for achieving thermal comfort in buildings that makes use of a multimodal analytic framework as a solution to this challenge. In this study, a multimodal combination is used to evaluate several temperature and humidity sensors as well as an area image. Additionally, a CNN and LSTM combination is used to process the image and sensor data. The results show that heating setback and interior set point temperatures, as well as mechanical ventilation based on real people's presence and CO<SUB align=right>2 levels, are all consistently reduced when ICT-driven intelligent solutions are used. The CNN-LSTM model has a goodness of fit that is 0.7258 on average, which is much higher than both the CNN (0.5291) and LSTM (0.5949) models.

Aiming at the problem of aggravation of traffic congestion caused by unstable signal control of traffic signal control system, the Multi-Agent Deep Deterministic Policy Gradient-based Traffic Cyclic Signal (MADDPG-TCS) control algorithm is used to control the time and data dimensions of the signal control scheme. The results show that the maximum vehicle delay time and vehicle queue length of the proposed algorithm are 11.33 s and 27.18 m, which are lower than those of the traditional control methods. Therefore, this method can effectively reduce the delay of traffic signal control and improve the stability of signal control.

5G mobile communication systems are an in-depth fusion of multi-radio access technologies characterised with frequent handover between cells. Handover management is a particularly challenging issue for 5G networks development. In this article, a novel optimised handover framework is proposed to find the optimal network to connect with a good quality of service in accordance with the user's preferences. This framework is based on an extension of IEEE 802.21 standard with new components and new service primitives for seamless handover. Moreover, the proposed vertical handover process is based on an adaptive heuristic model aimed at achieving an optimised network during the decision-making stage. Simulation results demonstrate that, compared to other existing works, the proposed framework is capable of selecting the best network candidate accurately based on the quality-of-service requirements of the application, network conditions, mobile terminal conditions and user preferences. It significantly reduces the handover delay, handover blocking probability and packet loss rate.

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.

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.