President-elect Trump and Elon Musk, two billionaires with strikingly similar DNAs, are fusing into a new, powerful governing-media paradigm.

TOKYO, Nov. 13, 2024 — NEC Corporation has received an order for a next-generation supercomputer system from Japan’s National Institutes for Quantum Science and Technology (QST), under the National Research […]

The post NEC Secures Order for Advanced Supercomputer to Drive Fusion Science Research at Japan’s National Institutes appeared first on HPCwire.

1. John Krasinski revealed as People magazine's Sexiest Man Alive after Benny Blanco confusion; fans are relieved  Hindustan Times
2. John Krasinski reveals wife Emily Blunt's reaction to his Sexiest Man Alive title  Hindustan Times
3. Not Shah Rukh Khan, Hrithik Roshan, Leonardo Dicaprio, Chris Evans, or Tom Cruise, THIS actor is the sexiest  India.com
4. Actor John Krasinski Named 'Sexiest Man Alive' Of 2024 By People Magazine  NDTV
5. Is Jim from The Office really the sexiest man in the world?  The Guardian

GAMMA Sports, a leading manufacturer of premium pickleball paddles, is excited to announce their collaboration with Target stores nationwide to launch a new line of Fusion pickleball paddles. The paddles will be available at all Target locations nationwide this July.

Using the muscle confusion training technique and P90X.

(Telecompaper) NEC Corporation has received an order for a next-generation supercomputer system from Japan's National Institutes for Quantum Science and Technology...

(Telecompaper) UK ISP Fusion Fibre Group has partnered with Platform X Communications (PXC), wholesale network division of TalkTalk Telecom Group, to expand its UK network coverage...

Influences from around the world in luxury home design

How to Fight Evil from our Hearts in a World of Lies and Confusion (w/ Fr. Seraphim Aldea)

Speakers from College Conference 2011 at Antiochian Village offer their reflections.

In this week's Ortho-Man sequel, Fr. Joseph can't understand the movie, gets knocked out, smells garlic, dreams of Popeye, quotes St Nicholai of Zica and ponders the mysterious identity of Psssst Man.

Fr. Anthony talks with Fr. Gregory Jensen about motivated reason and the consequences of mixing micro and macro domains. They suggest that our increasing tribalism is exacerbated of confusing pastoral and public communications - something that is all but impossible to avoid on social media. Enjoy the show!

This work describes an online handwritten character recognition system working in combination with an offline recognition system. The online input data is also converted into an offline image, and in parallel recognized by both online and offline strategies. Features are proposed for offline recognition and a disambiguation step is employed in the offline system for the samples for which the confidence level of the classier is low. The outputs are then combined probabilistically resulting in a classier out-performing both individual systems. Experiments are performed for Kannada, a South Indian Language, over a database of 295 classes. The accuracy of the online recognizer improves by 11% when the combination with offline system is used.

The conventional methods for identifying English online course learning behaviours have the problems of low recognition accuracy and high time cost. Therefore, a multimodal data fusion-based method for identifying English online course learning behaviours is proposed. Firstly, the analytic hierarchy process is used for decision fusion of multimodal data of learning behaviour. Secondly, based on the fusion results of multimodal data, weight coefficients are set to minimise losses and extract learning behaviour features. Finally, based on the extracted learning behaviour characteristics, the optimal classification function is constructed to classify the learning behaviour of English online courses. Based on the transfer information of learning behaviour status, the identification of online course learning behaviour is completed. The experimental results show that the recognition accuracy of the proposed method is above 90%, and its recognition accuracy is and can shorten the recognition time of learning behaviour, with high practical application reliability.

Aim/Purpose: This paper aims to investigate and understand the intentions of management undergraduate students in Hangzhou, China, regarding the adoption of Artificial Intelligence (AI) technologies in their education. It addresses the need to explore the factors influencing AI adoption in the educational context and contribute to the ongoing discourse on technology integration in higher education. Background: The paper addresses the problem by conducting a comprehensive investigation into the perceptions of management undergraduate students in Hangzhou, China, regarding the adoption of AI in education. The study explores various factors, including Perceived Relative Advantage and Trialability, to shed light on the nuanced dynamics influencing AI technology adoption in the context of higher education. Methodology: The study employs a quantitative research approach, utilizing the Confirmatory Tetrad Analysis (CTA) and Partial Least Squares Structural Equation Modeling (PLS-SEM) methodologies. The research sample consists of management undergraduate students in Hangzhou, China, and the methods include data screening, principal component analysis, confirmatory tetrad analysis, and evaluation of the measurement and structural models. We used a random sampling method to distribute 420 online, self-administered questionnaires among management students aged 18 to 21 at universities in Hangzhou. Contribution: This paper explores how management students in Hangzhou, China, perceive the adoption of AI in education. It identifies factors that influence AI adoption intention. Furthermore, the study emphasizes the complex nature of technology adoption in the changing educational technology landscape. It offers a thorough comprehension of this process while challenging and expanding the existing literature by revealing the insignificant impacts of certain factors. This highlights the need for an approach to AI integration in education that is context-specific and culturally sensitive. Findings: The study highlights students’ positive attitudes toward integrating AI in educational settings. Perceived relative advantage and trialability were found to impact AI adoption intention significantly. AI adoption is influenced by social and cultural contexts rather than factors like compatibility, complexity, and observability. Peer influence, instructor guidance, and the university environment were identified as pivotal in shaping students’ attitudes toward AI technologies. Recommendations for Practitioners: To promote the use of AI among management students in Hangzhou, practitioners should highlight the benefits and the ease of testing these technologies. It is essential to create communication strategies tailored to the student’s needs, consider cultural differences, and utilize the influence of peers and instructors. Establishing a supportive environment within the university that encourages innovation through policies and regulations is vital. Additionally, it is recommended that students’ attitudes towards AI be monitored constantly, and strategies adjusted accordingly to keep up with the changing technological landscape. Recommendation for Researchers: Researchers should conduct cross-disciplinary and cross-cultural studies with qualitative and longitudinal research designs to understand factors affecting AI adoption in education. It is essential to investigate compatibility, complexity, observability, individual attitudes, prior experience, and the evolving role of peers and instructors. Impact on Society: The study’s insights into the positive attitudes of management students in Hangzhou, China, toward AI adoption in education have broader societal implications. It reflects a readiness for transformative educational experiences in a region known for technological advancements. However, the study also underscores the importance of cautious integration, considering associated risks like data privacy and biases to ensure equitable benefits and uphold educational values. Future Research: Future research should delve into AI adoption in various academic disciplines and regions, employing longitudinal designs and qualitative methods to understand cultural influences and the roles of peers and instructors. Investigating moderating factors influencing specific factors’ relationship with AI adoption intention is essential for a comprehensive understanding.

DSSP stands as a foundational tool in the domain of protein secondary structure prediction, yet it encounters notable challenges in accurately annotating irregular structures, such as β-turns and γ-turns, which constitute approximately 25%-30% and 10%-15% of protein turns, respectively. This limitation arises from DSSP's reliance on hydrogen-bond analysis, resulting in annotation gaps and reduced consensus on irregular structures. Alternatively, PROMOTIF excels at identifying these irregular structure annotations using phi-psi information. Despite their complementary strengths, previous methodologies utilised DSSP and PROMOTIF separately, leading to disparate prediction methods for protein secondary structures, hampering comprehensive structure analysis crucial for drug development. In this work, we bridge this gap using an annotation fusion approach, combining DSSP structures with beta, and gamma turns. We introduce IRNN-SS, a model employing deep inception and bidirectional gated recurrent neural networks, achieving 77.4% prediction accuracy on benchmark datasets, outpacing current models.

Qinghua WU,Weitong LI, Vol.E107-D, No.11, pp.1422-1432
Multi-focus image fusion involves combining partially focused images of the same scene to create an all-in-focus image. Aiming at the problems of existing multi-focus image fusion algorithms that the benchmark image is difficult to obtain and the convolutional neural network focuses too much on the local region, a fusion algorithm that combines local and global feature encoding is proposed. Initially, we devise two self-supervised image reconstruction tasks and train an encoder-decoder network through multi-task learning. Subsequently, within the encoder, we merge the dense connection module with the PS-ViT module, enabling the network to utilize local and global information during feature extraction. Finally, to enhance the overall efficiency of the model, distinct loss functions are applied to each task. To preserve the more robust features from the original images, spatial frequency is employed during the fusion stage to obtain the feature map of the fused image. Experimental results demonstrate that, in comparison to twelve other prominent algorithms, our method exhibits good fusion performance in objective evaluation. Ten of the selected twelve evaluation metrics show an improvement of more than 0.28%. Additionally, it presents superior visual effects subjectively.
Publication Date: 2024/11/01

Background and Objective: In response to the challenges of poor mapping outcomes and susceptibility to obstacles encountered by indoor mobile vehicles relying solely on pure cameras or pure LiDAR during their movements, this paper proposes an obstacle avoidance method for indoor mobile vehicles that integrates image and LiDAR data, thus achieving obstacle avoidance for mobile vehicles. Materials and Methods: This method combines data from a depth camera and LiDAR, employing the Gmapping SLAM algorithm for environmental mapping, along with the A* algorithm and TEB algorithm for local path planning. In addition, this approach incorporates gesture functionality, which can be used to control the vehicle in certain special scenarios where “pseudo-obstacles” exist. The method utilizes the YOLO V3 algorithm for gesture recognition. Results: This paper merges the maps generated by the depth camera and LiDAR, resulting in a three-dimensional map that is more enriched and better aligned with real-world conditions. Combined with the A* algorithm and TEB algorithm, an optimal route is planned, enabling the mobile vehicles to effectively obtain obstacle information and thus achieve obstacle avoidance. Additionally, the introduced gesture recognition feature, which has been validated, also effectively controls the forward and backward movements of the mobile vehicles, facilitating obstacle avoidance. Conclusion: The experimental platform for the mobile vehicles, which integrates depth camera and LiDAR, built in this study has been validated for real-time obstacle avoidance through path planning in indoor environments. The introduced gesture recognition also effectively enables obstacle avoidance for the mobile vehicles.

...

Add Western touches to traditional outfits to get the best of both worlds

Much to food and internet enthusiasts’ delight, Masoom’s Bakery has launched an impressive rendition of the dessert

Washington — Seal checks should be conducted every time respiratory protection is used on the job, and employers and workers should ensure the equipment is worn properly so an adequate seal is achieved, NIOSH states in a recently published list of frequently asked questions about user seal checks.

Infusion Direct Marketing Inc. announced it has recently launched a new website along with an expanded portfolio of marketing and technology services.

Arlington, VA — Choosing head protection can be “confusing and complicated” because of the numerous options available, especially when trying to discern the key differences among them, researchers say.

A breakfast smoothie created to replace breakfast, Todo provides prebiotics, adaptogens and antioxidants, is filled with fiber, and offers a milk base of 25g of complete protein, fully devoid of artificial sweeteners or added sugar. 

CULT blends 100% natural ingredients and then slow-steep for a fresh and crisp taste in a hydrating drink with zero sugar and zero caffeine.

Rebellious Infusions launched Pure Energy Infusions, a premium range that maintains a high antioxidant level of 100mg as well as 100mg of caffeine per serving. Powered to increase a sense of alertness and enhance focus without the energy crash often synonymous with caffeinated beverages, the company launched three new flavors: Marvelous (Mango), Tenacious (Tangerine), and Courageous (Cherry).

With all-natural ingredients like rooibos, hibiscus, monk fruit, and lemon, Rebellious Infusions' Caffeine-Free products are free of sugar, calories, artificial colorings, flavors, sweeteners, and fillers.

All Friends answers rising demand for better for you beverage options, especially among Millennials and Gen Z who control the largest share of dollars in the QSR and fast casual space.

Updated July 25, 2006: Young-Earth creationists consider the helium diffusion studies of D. Russell Humphreys and others to be one of their greatest achievements in arguing for a 6,000 year old Earth. A geologist shows that these studies are extensively flawed and include: serious miscalculations in their data, sampling the wrong rock type, failing to eliminate possible contamination, using equations that are based on invalid assumptions and relying on questionable data. Appendices C and D have been added in response to Dr. Humphreys' most recent statements in his January 2006 "Trueorigins" essay.

Neutron spectroscopy uniquely and non-destructively accesses diffusive dynamics in soft and biological matter, including for instance proteins in hydrated powders or in solution, and more generally dynamic properties of condensed matter on the molecular level. Given the limited neutron flux resulting in long counting times, it is important to optimize data acquisition for the specific question, in particular for time-resolved (kinetic) studies. The required acquisition time was recently significantly reduced by measurements of discrete energy transfers rather than quasi-continuous neutron scattering spectra on neutron backscattering spectrometers. Besides this reduction in acquisition times, smaller amounts of samples can be measured with better statistics, and most importantly, kinetically changing samples, such as aggregating or crystallizing samples, can be followed. However, given the small number of discrete energy transfers probed in this mode, established analysis frameworks for full spectra can break down. Presented here are new approaches to analyze measurements of diffusive dynamics recorded within fixed windows in energy transfer, and these are compared with the analysis of full spectra. The new approaches are tested by both modeled scattering functions and a comparative analysis of fixed energy window data and full spectra on well understood reference samples. This new approach can be employed successfully for kinetic studies of the dynamics focusing on the short-time apparent center-of-mass diffusion.

Compared with batch and vapor diffusion methods, counter diffusion can generate larger and higher-quality protein crystals yielding improved diffraction data and higher-resolution structures. Typically, counter-diffusion experiments are conducted in elongated chambers, such as glass capillaries, and the crystals are either directly measured in the capillary or extracted and mounted at the X-ray beamline. Despite the advantages of counter-diffusion protein crystallization, there are few fixed-target devices that utilize counter diffusion for crystallization. In this article, different designs of user-friendly counter-diffusion chambers are presented which can be used to grow large protein crystals in a 2D polymer microfluidic fixed-target chip. Methods for rapid chip fabrication using commercially available thin-film materials such as Mylar, propyl­ene and Kapton are also detailed. Rules of thumb are provided to tune the nucleation and crystal growth to meet users' needs while minimizing sample consumption. These designs provide a reliable approach to forming large crystals and maintaining their hydration for weeks and even months. This allows ample time to grow, select and preserve the best crystal batches before X-ray beam time. Importantly, the fixed-target microfluidic chip has a low background scatter and can be directly used at beamlines without any crystal handling, enabling crystal quality to be preserved. The approach is demonstrated with serial diffraction of photoactive yellow protein, yielding 1.32 Å resolution at room temperature. Fabrication of this standard microfluidic chip with commercially available thin films greatly simplifies fabrication and provides enhanced stability under vacuum. These advances will further broaden microfluidic fixed-target utilization by crystallographers.

Along with participation in the International Thermonuclear Experimental Reactor (ITER) project – a large, international burning plasma experiment – the U.S. Department of Energy (DOE) should start a national program of accompanying research and technology to build a compact pilot plant that produces electricity from fusion at the lowest possible capital cost, says a new report from the National Academies of Sciences, Engineering, and Medicine.

The U.S. Department of Energy (DOE) and private industry should invest now in order to have an operational fusion pilot plant in the 2035-2040 time frame, says Bringing Fusion to the U.S. Grid, a new report from the National Academies of Sciences, Engineering, and Medicine.

As organizations become more complex, the necessity for collaborative leadership—where CXOs work together rather than in silos—has never been more pronounced.

The explosion of gluten-free products in the marketplace is good news for people with celiac disease and gluten sensitivity.

Lifeway Foods Inc., a leading U.S. supplier of kefir and fermented probiotic products, announced the release of 10 new innovative flavors to its on-the-go 8-ounce line of organic kefir. 

7-Eleven Inc., Irving, Texas, is introducing new 7-Select additions to its beverage lineup including a new energy beverage, 7-Select Fusion Energy, and a new premium hydration beverage, 7-Select Rehydrate.

Technology from air brake charging and control system developer Bendix Commercial Vehicle Systems now is available to order on select Kenworth Truck Co. vehicles.

This online exhibition introduced was not a one-time business event, but provides regular business services based on various events and promotions.

The study bridged the gap between primary and tertiary care in the treatment of degenerative symptoms such as adjacent segment disease.