Lawmakers should resist National Popular Vote

In 2022, Google expanded support for Product structured data, enabling enhanced product experiences in Google Search. Then, in 2023 we added support for shipping and returns structured data. Today, we are adding structured data support for Product variants, allowing merchants to easily show more variations of the products they sell, and show shoppers more relevant, helpful results. Providing variant structured data will also complement and enhance merchant center feeds, including automated feeds.

This post discusses an update to Search Console's user and permissions to improve the accuracy and reflect the actual state of unused ownership tokens.

I have been working with Across for several years, but I never got rid of impression that this CAT tools is very user-unfriendly and bugged. A great limitation is a lack of means for an easy transfer of projects between … Continue reading →

If you read my articles regularly, you are already know that I dislike Across. Across is difficult to use, does not offer feature that are readily available in other CAT tools, and rather slows me down during my work instead of … 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 →

Have you ever reviewed a large file in SDL Trados Studio with numerous repetitions and struggled with confirmed segments not being propagated to the rest of the file? Here is what to do. Imagine you have a big file to … Continue reading →

Hay mucha controversia en torno a la Inteligencia Artificial. Algunos piensan que es la causa de la pérdida de trabajos y la bajada de tarifas. Pero no es así. Te lo contamos aquí. It’s the economy, stup$#. Con esta frase (y la palabrota) ganó unas...

La entrada El problema no es la IA aparece primero en Traducción Jurídica.

¿Sabes lo que significan realmente estos dos términos? ¿Y cuál es la diferencia entre ellos? Se trata de dos conceptos importantes de la justicia penal en los EE. UU. Te lo contamos a continuación. En inglés jurídico hay muchos términos parecidos, pero no iguales. Son...

La entrada Diccionario de inglés jurídico: Probation v. Parole aparece primero en Traducción Jurídica.

Los neófitos puede que no sepan cómo se aborda una traducción. Aún queda mucho por investigar sobre los procesos cognitivos que operan […]

Eramus es una palabra que, a muchos de nosotros, nos evoca gratos recuerdos de cuando éramos estudiantes. También existe un programa para […]

Tras la modificación de la normativa de 2014, esta es la primera vez que el Ministerio de Asuntos Exteriores, Unión Europea y Cooperación de España (conocido por todos por sus anteriores siglas, MAEC) pretende...

The post Proyecto de modificación del Reglamento de Traductores Jurados appeared first on El Blog del Traductor Jurado.

Ponencia presentada por Julia Benseñor en el III CONGRESO LATINOAMERICANO DE TRADUCCIÓN E INTERPRETACIÓN, CTPBA, Buenos Aires, abril de 2001

JAVIER MILEI, UN AN APRES (1/7). Depuis l'arrivee de l'economiste a la presidence, le pays a enregistre son premier excedent budgetaire et l'inflation, qui atteignait 25 % par mois, est tombee a 2,7 %.

Le patron de l'ONG de defense des oceans Sea Shepherd avait fait une demande d'asile politique a Emmanuel Macron, au mois d'octobre.

These days, commodity-off-the-shelf (COTS) hardware and software are used to build high-end and powerful workstations and servers to be deployed in today's local area networks of private homes and small- to medium-sized business. Typically, these servers are multipurpose and shared - running networking functionalities involving IP packet forwarding in addition to other CPU intensive applications. In this paper we study and investigate the impact of running CPU-bound applications on the performance of IP packet forwarding. We measure and compare the impact and performance for the two operating systems of choice for home and small-business users, namely Linux and Windows XP. The performance is studied in terms of key performance metrics which include throughput, packet loss, round-trip delay, and CPU availability. For our measurements, we consider today's typical home network hosts of modern processors and Gigabit network cards. We also consider different configuration setups and utilize open-source tools to generate relatively high traffic rates. Our empirical results show that Linux exhibits superior performance over Windows XP in terms of IP forwarding performance. Results also show that, unlike Windows XP, the IP forwarding performance of Linux is not significantly impacted by running CPU-bound applications.

This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under a few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water flow angle and unwetted image frames function enlargement. Results are encouraging due to text line segmentation improvement which is the most challenging process stage in document image processing.

This paper reports on the Joaquim Nabuco Project, a pioneering work in Latin America on document digitalization, enhancement, compression, indexing, retrieval and network transmission of historical document images.

This paper focuses on improving the management of New-Product Development (NPD) processes within the particular context of a cluster of enterprises that cooperate through a network of intra- and inter-firm relations. Ceramic tile design chains have certain singularities that condition the NPD process, such as the lack of a strong hierarchy, fashion pressure or the existence of different origins for NPD projects. We have studied these particular circumstances in order to tailor Product Life-cycle Management (PLM) tools and some other management mechanisms to fit suitable sectoral reference models. Special emphasis will be placed on PLM templates for structuring and standardizing projects, and also on the roles involved in the process.

This work describes a methodology that supports the design and implementation of software modules, which represent the individual and collaborative three-dimensional interaction process phases. The presented methodology integrates three modeling approaches: Petri Nets, a collaborative manipulation model based on the combination of single user interaction techniques taxonomy, and object-oriented programming concepts. The combination of these elements allows for the description of interaction tasks, the sequence of interaction processes being controlled by Petri Nets with the codes generated automatically. By the integration of these approaches, the present work addresses not only the entire development cycle of both individual and collaborative three-dimensional interaction, but also the reuse of developed interaction blocks in new virtual environment projects.

Process Modeling has been a very active research topic for the last decades. One of its main issues is the externalization of knowledge and its acquisition for further use, as this remains deeply related to the quality of the resulting process models produced by this task. This paper presents a method and a graphical supporting tool for process elicitation and modeling, combining the Group Storytelling technique with the advances of Text Mining and Natural Language Processing. The implemented tool extends its previous versions with several functionalities to facilitate group story telling by the users, as well as to improve the results of the acquired process model from the stories.

The paper explores the application of Web 2.0 technologies to support product development efforts in a global, virtual and cross-functional setting. It analyses the dichotomy between the prevailing hierarchical structure of CAD/PLM/PDM systems and the principles of the Social Web under the light of the emerging product development trends. Further it introduces the concept of Engineering 2.0, intended as a more bottom up and lightweight knowledge sharing approach to support early stage design decisions within virtual and cross-functional product development teams. The lessons learned collected from a cross-company study highlight how to further developblogs, wikis, forums and tags for the benefit of new product development teams, highlighting opportunities, challenges and no-go areas.

Collaborative Filtering(CF) is a well-known technique in recommender systems. CF exploits relationships between users and recommends items to the active user according to the ratings of his/her neighbors. CF suffers from the data sparsity problem, where users only rate a small set of items. That makes the computation of similarity between users imprecise and consequently reduces the accuracy of CF algorithms. In this article, we propose a clustering approach based on the social information of users to derive the recommendations. We study the application of this approach in two application scenarios: academic venue recommendation based on collaboration information and trust-based recommendation. Using the data from DBLP digital library and Epinion, the evaluation shows that our clustering technique based CF performs better than traditional CF algorithms.

One of the challenges in Dynamic Software Product Line (DSPL) is how to support the coordination of multiple instances of a service feature. In particular, there is a need for a decentralized decision-making capability that will be able to seamlessly integrate new instances of a service feature without an omniscient central controller. Because of the need for decentralization, we are investigating principles from self-organization in biological organisms. As an initial proof of concept, we have applied three bio-inspired techniques to a simple smart home scenario: quorum sensing based service activation, a firefly algorithm for synchronization, and a gossiping (epidemic) protocol for information dissemination. In this paper, we first explain why we selected those techniques using a set of motivating scenarios of a smart home and then describe our experiences in adopting them.

Web Services have become a standard for integration of systems in distributed environments. By using a set of open interoperability standards, they allow computer-computer interaction, regardless the programming languages and operating systems used. The Semantic Web Services, by its turn, make use of ontologies to describe their functionality in a more structural manner, allowing computers to reason about the information required and provided by them. Such a description also allows dynamic composition of several Web Services, when only one is not able to provide the desired functionality. There are scenarios, however, in which only the functional correctness is not enough to fulfill the user requirements, and a minimum level of quality should be guaranteed by their providers. In this context, this work presents an approach for dynamic Web Service composition that takes into account the composition overall quality. The proposed approach relies on a heuristics to efficiently perform the composition. In order to show the feasibility of the proposed approach, a Web Service composition application prototype was developed and experimented with public test sets, along with another approach that does not consider quality in the composition process. The results have shown that the proposed approach in general finds compositions with more quality, within a reasonable processing time.

Feature modeling is an approach to represent commonalities and variabilities among products of a product line. Context-aware applications use context information to provide relevant services and information for their users. One of the challenges to build a context-aware product line is to develop mechanisms to incorporate context information and adaptation knowledge in a feature model. This paper presents UbiFEX, an approach to support feature analysis for context-aware software product lines, which incorporates a modeling notation and a mechanism to verify the consistency of product configuration regarding context variations. Moreover, an experimental study was performed as a preliminary evaluation, and a prototype was developed to enable the application of the proposed approach.

Recently, IEEE 802.16 Worldwide Interoperability for Microwave Access (WiMAX for short) has provided us with low-cost, high efficiency and high bandwidth network services. However, as with the WiFi, the radio wave transmission also makes the WiMAX face the wireless transmission security problem. To solve this problem, the IEEE802.16Std during its development stage defines the Privacy Key Management (PKM for short) authentication process which offers a one-way authentication. However, using a one-way authentication, an SS may connect to a fake BS. Mutual authentication, like that developed for PKMv2, can avoid this problem. Therefore, in this paper, we propose an authentication key management approach, called Diffie-Hellman-PKDS-based authentication method (DiHam for short), which employs a secret door asymmetric one-way function, Public Key Distribution System (PKDS for short), to improve current security level of facility authentication between WiMAX's BS and SS. We further integrate the PKMv1 and the DiHam into a system, called PKM-DiHam (P-DiHam for short), in which the PKMv1 acts as the authentication process, and the DiHam is responsible for key management and delivery. By transmitting securely protected and well-defined parameters for SS and BS, the two stations can mutually authenticate each other. Messages including those conveying user data and authentication parameters can be then more securely delivered.

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.

Netanyahu s’est entretenu 3 fois avec Trump depuis sa réélection à propos de la "menace iranienne"

Espagne : des problèmes sanitaires dans les zones sinistrées par les inondations

The increased volume of accessible internet data creates an opportunity for researchers and practitioners to improve time series forecasting for many indicators. In our study, we assess the value of web traffic data in forecasting the number of short-term visitors travelling to Australia. We propose a feature-based model selection framework which combines random forest with feature ranking process to select the best performing model using limited and informative number of features extracted from web traffic data. The data was obtained for several tourist attraction and tourism information websites that could be visited by potential tourists to find out more about their destinations. The results of random forest models were evaluated over 3- and 12-month forecasting horizon. Features from web traffic data appears in the final model for short term forecasting. Further, the model with additional data performs better on unseen data post the COVID19 pandemic. Our study shows that web traffic data adds value to tourism forecasting and can assist tourist destination site managers and decision makers in forming timely decisions to prepare for changes in tourism demand.

1. Attention, votre airfryer pourrait produire une substance cancérigène dans vos aliments selon une étude  Yahoo Actualités
2. 3 bonnes raisons de choisir un Airfryer en 2024  La Provence
3. Nos 30 recettes rapides et faciles au Airfryer, du plat de résistance au dessert  Le Figaro
4. Les air fryers sont-ils dangereux pour la santé ? Une étude lance l'alerte  Allo Docteurs
5. Airfryer : attention aux acrylamides potentiellement cancérigènes  Pourquoi Docteur ?

1. XV de France – Antoine Dupont bien là, Thibaud Flament itou : la compo probable des Bleus pour la Nouvelle-Zélande  Rugbyrama
2. Bleus : Maxime Lamothe et Giorgi Beria appelés pour préparer le match de l'équipe de France contre les All Blacks  L'Équipe
3. XV de France : Dupont et Flament titulaires contre les All Blacks, Jalibert libéré ?  Le Figaro
4. Rugby : Giorgi Beria, le pilier gauche de l’USAP, appelé avec le XV de France pour préparer le choc contre les All Blacks  L'Indépendant
5. XV de France : Fabien Galthié rappelle deux joueurs à quelques jours du choc face aux All Blacks  La Dépêche du Midi

1. Un iPhone dans sa version Pro reconditionné pour moins de 300 € et c'est grâce à ce code promo exclusif au Black Friday  Lesmobiles
2. iPhone 13 : c’est le moment idéal pour obtenir le smartphone Apple à prix réduit sur Amazon  Capital.fr
3. Ce n’est pas une hallucination, l’iPhone 16 est en promotion dès 799 €, c’est le Black Friday avant l’heure !  Le Figaro
4. C’est le moment ou jamais de vous offrir l’iPhone 15 au meilleur prix : 629 euros seulement  20 Minutes
5. iPhone 14 Pro Max : même en 2024, son prix continue de chuter sans prévenir  Ouest-France

1. La PS5 Slim avec lecteur de disque est de retour à prix réduit avec ce code promo spécial Black Friday  Frandroid
2. Les scalpers surestiment l’engouement pour la PS5 Pro et se retrouvent avec une console invendable  jeuxvideo.com
3. Test de la PS5 Pro : la nouvelle console de Sony est-elle faite pour vous ?  Frandroid
4. Test PS5 Pro : un tournant pour les consoles de jeu  Canard PC
5. La meilleure offre pour acheter la PS5 Pro dès son lancement !  Midi Libre

1. Au procès des assistants parlementaires du FN, les flèches des avocats du Parlement européen  Le Monde
2. Procès du RN : « Un système pour détourner des fonds de l’UE au bénéfice du parti »  Ouest-France
3. "Marine Le Pen seule donneuse d’ordre" : au procès des assistants parlementaires, un "système" en accusation  Marianne
4. Procès des assistants parlementaires du FN: le Parlement européen réclame près de 4 millions d’euros au parti  Le Figaro
5. Marine Le Pen dans le piège de « l’inéligibilité obligatoire »  Le Point

1. Affaire Squarcini-LVMH : que reproche la justice à l'ancien patron du renseignement intérieur ?  franceinfo
2. Comment LVMH a échappé à un procès malgré l’espionnage de François Ruffin  Le HuffPost
3. Bernard Squarcini devant la justice pour « trafic d’influence »  Le Monde
4. Affaire Squarcini : le « Squale », comme un poisson à LVMH  Sud Ouest
5. Espionnage sur le tournage de "Merci patron" de François Ruffin, le député réclame un euro symbolique  France 3 Régions

1. ‘Been a long time since I felt that way’: Sexually transmitted infection numbers provide new hope  POLITICO
2. There are millions of sexually transmitted infections in the US every year, but new data shows the epidemic may be slowing  CNN
3. America's STD explosion laid bare and the shocking number of people catching one every minute  Daily Mail
4. At Long Last, the Surge in S.T.I.s May Be Leveling Off  The New York Times

Running and longevity: Sub-four-minute milers increase their lifespan by up to 9 years  Genetic Literacy Project

1. Why is Trump’s election as US president prompting a Bitcoin surge?  Al Jazeera English
2. Why crypto mania is reaching new heights  The Economist
3. Cryptocurrency traders: share what got you into crypto, and how you feel about recent developments  The Guardian
4. Bitcoin Continues Its Ascent To $100,000 Amid Ethereum, Solana, Dogecoin, Shiba Inu, BNB, XRP, Avalanche Rebound  Forbes
5. What to know about bitcoin’s post-election rally  BNN Bloomberg

Special counsel Jack Smith looking at stepping down before Trump takes office and is discussing how to end prosecutions  CNN

1. Bear encounter recorded in Whistler Village prompts conservation officer warning  CTV News Vancouver
2. Tourists 'shocked' to see man approach black bear in Whistler  Pique Newsmagazine

Une gigantesque panne d'électricité a affecté lundi une large partie du Pakistan, dont ses plus grandes villes Lahore et Karachi, avant que les autorités n'annoncent en soirée le retour progressif du courant.

Les coupures d'électricité sont fréquentes au Pakistan, englué depuis des années dans de graves problèmes budgétaires et énergétiques, et dont le système de distribution est complexe et vétuste.

La panne a été causée par un dysfonctionnement survenu à 07H30 locales (02H30 GMT) à la suite de mesures d'économies prises sur le réseau.

"Nous espérons que le courant sera rétabli partout dans le pays d'ici ce (lundi) soir", a déclaré dans un communiqué vidéo le ministre de l'Energie, Khurram Dastagir Khan.

La nuit avançant, il a assuré sur Twitter que l'électricité commençait à être rétablie progressivement.

Le ministère a tweeté que le courant était revenu dans le centre d'Islamabad et à Gujranwala, à quelque 200 km au sud-est de la capitale.

M. Khan a également retweeté le message d'un usager qui se félicitait qu'il y ait à nouveau "de la lumière à Lahore", la deuxième ville la plus peuplée du pays, avec plus de 10 millions d'habitants.

La panne a été causée par une variation de la fréquence électrique sur le réseau national, au redémarrage des unités de production électrique lundi matin.

Ces unités sont temporairement éteintes la nuit en hiver pour économiser du carburant, a expliqué M. Khan à la presse.

La plupart des hôpitaux, industries et institutions gouvernementales sont équipées de générateurs. Mais les ménages et petits commerces n'ont souvent pas les moyens de s'offrir un tel équipement.

Dans le nord du Pakistan, les températures devaient tomber lundi soir en dessous de 0°. Le chauffage au gaz est le plus répandu, mais n'est pas non plus toujours très fiable, les délestages étant fréquents en raison d'une pénurie de gaz.

Les réseaux de téléphonie mobile ont été également perturbés par la panne, selon un tweet du régulateur pakistanais des télécoms.

L'économie pakistanaise est déjà chancelante avec une inflation galopante, une devise nationale - la roupie - en chute libre et des réserves de change au plus bas. Une telle coupure d'électricité ne fait qu'accroître la pression sur les petits commerces.

A Rawalpindi, ville voisine de la capitale, Muhammad Iftikhar Sheikh, 71 ans, un vendeur d'électroménager, a déploré ne pas pouvoir tester ses appareils devant les clients.

"Les clients n'achètent jamais sans essayer d'abord", pestait-il. Du coup, "on est tous assis là, à ne rien faire".

Dans les écoles, les cours ont souvent eu lieu dans la pénombre, pour celles ne disposant pas d'éclairage sur batterie.

A Karachi (sud), où les températures étaient plus élevées, un commerçant a indiqué à l'AFP craindre que son stock entier de produits laitiers ne soit perdu, sans réfrigération.

Et Khurrum Khan, un imprimeur de 39 ans, voyait les commandes s'empiler, sans pouvoir y répondre. Les problèmes d'électricité sont "une malédiction permanente dont nos gouvernements n'ont pas réussi à se débarrasser", regrettait-il.

Une panne similaire en janvier 2021 avait plongé l'essentiel de ce pays de 220 millions d'habitants dans le noir pendant plusieurs heures, après qu'un dysfonctionnement technique dans le sud eut déclenché une réaction en chaîne dans plusieurs centrales électriques.

Les coupures d'électricité sont un problème récurrent au Pakistan. Mais la situation s'est encore détériorée ces derniers mois, la situation financière dramatique du pays aggravant un peu plus ses difficultés d'approvisionnement énergétique.

Les ménages ont été touchés, mais l'industrie également, notamment le textile, qui représente environ 60% des exportations pakistanaises.

A chaque jour, une nouvelle annonce. Cet ￜtￜ, le ministre de l'Intￜrieur, Gￜrald Darmanin, a multipliￜ les dￜplacements sur le terrain et les annonces. Pour lutter contre les pyromanes ￜ...

Image forgery detection techniques refer to the process of detecting manipulated or altered images, which can be used for various purposes, including malicious intent or misinformation. Image forgery detection is a crucial task in digital image forensics, where researchers have developed various techniques to detect image forgery. These techniques can be broadly categorised into active, passive, machine learning-based and hybrid. Active approaches involve embedding digital watermarks or signatures into the image during the creation process, which can later be used to detect any tampering. On the other hand, passive approaches rely on analysing the statistical properties of the image to detect any inconsistencies or irregularities that may indicate forgery. In this paper for the detection of scaling and cropping attack a deep learning method has been proposed using ResNet. The proposed method (Res-Net-Adam-Adam) is able to achieve highest amount of accuracy of 99.14% (0.9914) while detecting fake and real images.

Differential privacy is usually applied to location privacy protection scenarios, which confuses real data by adding interference noise to location points to achieve the purpose of protecting privacy. However, this method can result in a significant amount of redundant noisy data and impact the accuracy of the location. Considering the security and practicability of location data, an effective differential privacy protection method of location data based on perturbation loss constraint is proposed. After applying the Laplace mechanism under the condition of differential privacy to perturb the location data, the Savitzky-Golay filtering technology is used to correct the data with noise, and the data with large deviation and low availability is optimised. The introduction of Savitzky-Golay filtering mechanism in differential privacy can reduce the error caused by noise data while protecting user privacy. The experiments results indicate that the scheme improves the practicability of location data and is feasible.

Constrained programming is the concept used to select possible alternatives from an incredibly diverse range of candidates. This paper proposes an AI-assisted Backtracking Scheme (AI-BS) by integrating the generic backtracking algorithm with Artificial Intelligence (AI). The detailed study observes that the extreme dual ray associated with the infeasible linear program can be automatically extracted from minimum unfeasible sets. Constraints are used in artificial intelligence to list all possible values for a group of variables in a given universe. To put it another way, a solution is a way of assigning a value to each variable that these values satisfy all constraints. Furthermore, this helps the study reach a decreased search area for smart backtracking without paying high costs. The evaluation results exhibit that the IB-BC algorithm-based smart electricity schedule controller performs better electricity bill during the scheduled periods than comparison approaches such as binary backtracking and binary particle swarm optimiser.