Wagner & Co. unveils its newest line of SECUSOL systems designed as standalone appliances for domestic hot water preparation.

C++ Developer for Windows Internals (Hybrid TLV) Requirements: 10 years of experience working with C++ in Microsoft Windows environments. Experience in Object-Oriented development. In-depth knowledge of the Microsoft Windows operating system, especially Windows Internals. Experience in Multi-threading development and debugging. Experience in developing System Services under Windows. Knowledge of communication protocols such as TCP, UDP. Advantage: Experience with Microsoft .NET and C#. Expe...

Nov. 13, 2024 — When researchers use high-performance computing (HPC)—to model electric vehicle infrastructure or to test the performance of sustainable technologies, for example—they can see how advanced computing impacts their […]

The post NREL Partnership Demonstrates Computationally Efficient Analysis of Hybrid Plants appeared first on HPCwire.

On Saturday 18 June, A-ROSA's ground-breaking new river cruise ship, A-ROSA SENA, departed from Cologne on her maiden voyage.

(Telecompaper) Cisco is publicising a deal with consulting firm LTIMindtree to deploy secure edge technology for its hybrid workforce and global consulting client base...

What started out as curiosity about water lilies has grown into full blown passion for Viji Abi of Thrissur

It isn’t often that a new car impresses me as much as the Toyota Hyryder has. The hybrid’s EV-like initial responses, fuel efficiency that’s better than most frugal diesel cars and a likeable package backed by Toyota are some of the reasons why I persuaded my wife to buy the SUV as soon as it was launched.

But while I have one at home, it’s hard to pry it away from my wife. So, I grabbed the keys to the one Toyota lent us as a long-termer.

I think the Hyryder’s design is very appealing, and its ‘Speedy Blue’ paint makes it quite striking, too. On the inside, the dashboard and doors have a nice leatherette padding, and the brown and black colour scheme certainly lifts the cabin’s perceived quality. You can’t ignore that it shares many parts with lower-priced Marutis, but it isn’t to the extent of feeling cheap or offensive at its Rs 20 lakh price.

The Hyryder’s ergonomics are spot on, with plenty of seat, steering and central armrest adjustment for you to get comfortable. However, the seats aren’t the comfiest, and the cushioning results in some body ache on longer drives. At the rear, space is adequate for two adults – it isn’t as wide as the Creta’s – although six-footers will find headroom tight even with the backrest fully reclined.

After several road trips and airport runs, I can confidently say that with a plus-sized check-in bag in the boot, there’s only about enough room for a laptop bag; you can slide a laptop bag into the slim storage beneath the boot floor, too. On either side of the boot, there’s a deep storage area that is useful to stow smaller items.

I must talk about the touchscreen and wireless charger as well; the touchscreen’s software is buggy, resulting in frequent disconnection and low call volume when connected to wireless Android Auto and Apple CarPlay. We hope a software update solves this. The wireless charger is also flawed; it suspends charging often without reason, which is very annoying.

Also, the thin sun shade for the sunroof allows the cabin to be soaked in heat far too quickly when parked outdoors. A high-quality sunfilm on the sunroof could alleviate this issue.

Though Toyota has connected car tech, the vehicle locator is the only feature I found useful. It also tells you how much fuel is left and the current range, but I would have liked more information, especially related to fuel efficiency, and a trip log. You can’t unlock the vehicle via the app if you don’t use the app to lock it in the first place, which is quite strange. There is a pre-cooling feature, too, that I’ve used only once.

Rounding off the not-so-nice bits, when the engine/generator kicks in to charge the lithium-ion battery, the system occasionally makes quite a few sounds, which can take the uninitiated by surprise, and if you’re paying attention, you’ll also feel some vibrations at idle.

Now, let’s talk about the things I really love. The first is performance. A seamless and silent electric startup is something I truly appreciate. Next, the electric motor nicely complements the three-cylinder petrol engine, delivering almost electric vehicle-like responses, making it ideal for closing gaps or when overtaking. The torque curve tapers soon after, and the e-CVT makes the engine rev quite a bit when your foot is pinned to the throttle, emanating a rather unpleasant note.

But the highlight is its fuel efficiency. In Eco mode, the best I’ve achieved is 26.5kpl, with 80 percent highway driving and the rest in the city. With no effort to drive with the intent of maximising efficiency, the average city efficiency is about 20-21kpl in winter months, and this number drops to 18-19kpl in summer. An insider at Toyota explained that the e-compressor puts a high load on the hybrid system, which explains the lower efficiency when ambient temperatures are higher. Do note that these numbers are measured using the tankful-to-tankful method.

Lastly, the Hyryder’s suspension is on the firmer side, but driving manners and steering make it feel very confident at highway speeds. It also exudes an underlying toughness while dealing with poor, broken roads, which, to some extent, makes it similar to its rugged sibling, the Toyota Fortuner.

The Hyryder has been a fill-it, shut-it and forget-it car, one that goes about doing all that’s expected of it in a fuss-free and competent manner.

Also see:

Toyota Hyryder Festival Limited Edition launched

Kia Seltos vs Toyota Hyryder vs MG ZS EV comparison video

Toyota Rumion gets free accessories with new Festival Limited Edition

Toyota’s reason to opt for a hybrid system for the above models is that it believes EVs are not the only option towards carbon neutrality.

DeFog is an innovative microservice placement and load balancing approach for distributed multi-cluster cloud-fog-edge architectures to minimise application response times. The architecture is modelled as a three-layered hierarchy. Each layer consists of one or more clusters of machines, with resource constraints increasing towards lower layers. Applications are modelled as service oriented architectures (SOA) comprising multiple interconnected microservices. As many applications can be run simultaneously, and as the resources of the edge and the fog are limited, choosing among services to run on the edge or the fog is the problem this work is dealing with. DeFog focuses on dynamic (i.e., adaptive) decentralised service placement within each cluster with zero downtime, eliminating the need for coordination between clusters. To assess the effectiveness of DeFog, two realistic applications based on microservices are deployed, and several placement policies are tested to select the one that reduces application latency. Least frequently used (LFU) is the reference service placement strategy. The experimental results reveal that a replacement policy that uses individual microservice latency as the crucial factor affecting service placement outperformed LFU by at least 10% in application response time.

In the present scenario, the security of medical images is an important aspect in the field of image processing. Support vector machines (SVMs) are a supervised machine learning technique used in image classification. The roots of SVM are from statistical learning theory. It has gained excellent significance because of its robust, accurate, and very effective algorithm, even though it was applied to a small set of training samples. SVM can classify data into binary classification or multiple classifications according to the application's needs. Discrete wavelet transform (DWT) and singular value decomposition (SVD) transform techniques are utilised to enhance the image's security. In this paper, the image is first classified using SVM into ROI and RONI, and thereafter, to enhance the images diagnostic capabilities, the DWT-SVD-based hybrid watermarking technique is utilised to embed the watermark in the RONI region. Overall, our work makes a significant contribution to the field of medical image security by presenting a novel and effective solution. The results are evaluated using both perceptual and imperceptibility testing using PSNR and SSIM parameters. Different attacks were introduced to the watermarked image, which shows the efficacy and robustness of the proposed algorithm.

Image encryption is a critical and attractive issue in digital image processing that has gained approval and interest of many researchers in the world. A proposed hybrid encryption method was implemented by using the combination of the Nahrain chaotic map with a well-known optimised algorithm namely the grey wolf optimisation (GWO). It was noted from analysing the results of the experiments conducted on the new hybrid algorithm, that it gave strong resistance against expected statistical invasion as well as brute force. Several statistical analyses were carried out and showed that the average entropy of the encrypted images is near to its ideal information entropy.

The paper describes the investigations and outcomes of the JISC-funded Kindura project, which is piloting the use of hybrid cloud infrastructure to provide repository-focused services to researchers. The hybrid cloud services integrate external commercial cloud services with internal IT infrastructure, which has been adapted to provide cloud-like interfaces. The system provides services to manage and process research outputs, primarily focusing on research data. These services include both repository services, based on use of the Fedora Commons repository, as well as common services such as preservation operations that are provided by cloud compute services. Kindura is piloting the use of the DuraCloud2, open source software developed by DuraSpace, to provide a common interface to interact with cloud storage and compute providers. A storage broker integrates with DuraCloud to optimise the usage of available resources, taking into account such factors as cost, reliability, security and performance. The development is focused on the requirements of target groups of researchers.

Aim/Purpose: Despite millions of apps on the market, it is still challenging to develop a mobile app that can run across platforms using the same code. Background: This paper explores a potential solution for developing cross platform apps by presenting the hybrid app approach. Methodology: The paper first describes a brief evolution of the different mobile app development approaches and then compares them with the hybrid app approach. Next, it focuses on one specific hybrid app development framework called Ionic. Contribution: The paper presents the hybrid app approach as an emerging trend in mobile app development and concludes with the highlight of its advantages and teaching implications. Findings: The hybrid app approach reduces the learning curve and offers tools to allow the reuse of code to create apps for different mobile devices. Recommendations for Practitioners: The experience that the paper describes in using Ionic framework to create a hybrid app can be adopted in a web design or mobile app development course. Impact on Society : The advance in hybrid framework in general and the growing acceptance of open source framework, such as Ionic in particular, may provide an alternative to the native app domination and may trigger the rapid rise of hybrid apps in the years to come.

Alzheimer's disease (AD), a leading cause of dementia and mortality, presents a growing concern due to its irreversible progression and the rising costs of care. Early detection is crucial for managing AD, which begins with memory deterioration caused by the damage to neurons involved in cognitive functions. Although incurable, treatments can manage its symptoms. This study introduces a hybrid AlexNet+ResNet-50 model for AD diagnosis, utilising a pre-trained convolutional neural network (CNN) through transfer learning to analyse MRI scans. This method classifies MRI images into Alzheimer's disease (AD), moderate cognitive impairment (MCI), and normal control (NC), enhancing model efficiency without starting from scratch. Incorporating transfer learning allows for refining the CNN to categorise these conditions accurately. Our previous work also explored atlas-based segmentation combined with a U-Net model for segmentation, further supporting our findings. The hybrid model demonstrates superior performance, achieving 94.21% accuracy in identifying AD cases, indicating its potential as a highly effective tool for early AD diagnosis and contributing to efforts in managing the disease's impact.

With the continuous growth and importance of data, the need for strong data protection becomes crucial. Encryption plays a vital role in preserving the confidentiality of data, and attribute-based encryption (ABE) offers a meticulous access control system based on attributes. This study investigates the integration of Fernet encryption with initialisation vector (IV) and ABE, resulting in a hybrid encryption approach that enhances both security and flexibility. By combining the advantages of Fernet encryption and IV-based encryption, the hybrid encryption scheme establishes an effective and robust mechanism for safeguarding data. Fernet encryption, renowned for its simplicity and efficiency, provides authenticated encryption, guaranteeing both the confidentiality and integrity of the data. The incorporation of an initialisation vector (IV) introduces an element of randomness into the encryption process, thereby strengthening the overall security measures. This research paper discusses the advantages and drawbacks of the hybrid encryption of Fernet and IV with ABE.

Aim/Purpose: The rise of virtual communication technologies and hybrid work contexts has brought significant changes to leadership dynamics, highlighting the need for effective management of teams operating in both face-to-face and virtual settings, known as hybrid teams. Background: This systematic review examines leadership models utilized in face-to-face and virtual teams, factors contributing to leadership emergence in these contexts, and effective strategies for leading hybrid teams. Methodology: In this study, three scientific databases were searched, resulting in the retrieval of 1,707 studies. These studies were then subjected to a review process following the PRISMA guidelines, ultimately leading to the inclusion of 15 research contributions in the final review. Contribution: Given the results, key strategies for practitioners include the development of strong communication skills, providing constructive feedback, and implementing efficient remote management techniques. Findings: The findings emphasize three prominent leadership models – transformational leadership, leader-member exchange (LMX), and shared leadership – all of which play crucial roles in hybrid team settings. Personality factors drive leadership emergence in face-to-face settings, while virtual settings benefit more from task-related behaviors. Recommendation for Researchers: This review informs researchers seeking to enhance leadership efficacy in modern group settings, aiding leaders in navigating the complexities of hybrid team environments.

Product innovation has become a crucial part of the sustainability of the coconut agro-industry in Indonesia, covering upstream and downstream sides. To overcome this challenge, it is necessary to create several model stages using a hybrid method that combines machine learning based on multiple criteria decision making and mass balance analysis. The research case study was conducted in Tembilahan district, Riau province, Indonesia, one of the primary coconut producers in Indonesia. The analysis results showed that potential products for domestic customers included coconut milk, coconut cooking oil, coconut chips, coconut jelly, coconut sugar, and virgin coconut oil. Furthermore, considering the experts, the most potential product to be developed was coconut sugar with a weight of 0.26. Prediction of coconut sugar demand reached 13,996,607 tons/year, requiring coconut sap as a raw material up to 97,976,249.

Results using the reinforcement learning technique on two SAT benchmarks using a D-Wave 2000Q quantum processor showed significantly better solutions with fewer samples compared to the best-known quantum annealing techniques.

The post Paper: Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata appeared first on UMBC ebiquity.

This study explores the hybridization of field-level logics. We define hybridized logics as rules of action, interaction, and interpretation that integrate the goals of previously incompatible logics through material forms, practices, and governance arrangements. Through an inductive study of the wind energy field in Colorado, we find that a hybridized logic emerged through a process in which organizational responses to logic incompatibility drove shifts in the relationship between logics and organizations. Compromise and framing efforts unintentionally initiated a process of logic hybridization by catalyzing proponents of the subordinate logic to contest the dominant logic and alter the balance of power in the field. Hybrid organizations then emerged to establish, legitimize, and embed a new set of inter-linked frames, practices, and arrangements that integrated previously incompatible logics. Our findings suggest that the hybridization of field-level logics is a complex process in which organizational actions and field-level conditions recursively influence each other over time.

The perfect blend between Flatland, Street & Park, the wethepeople "Utopia Hybrid" BMX Frame takes DNA from many of wtp's current frames and blends it into a super tough, responsive and incredibly lightweight do-it-all frame. Just as capable in the streets as it is in the parking lot, the wethepeople "Utopia Hybrid" BMX Frame is also the chance for smaller and younger riders to ride one of the most advanced frames wethepeople have ever produced. Utilizing new super-lightweight hydroformed tubing and a crazy short chainstay, the wethepeople "Utopia Hybrid" BMX Frame is a frame in a league of its own.

• Wheel Size: 20"
• Material: 100% Japanese Seamless 4130 CrMo, butted
• Geometry:
  Top Tube Length (TT): 20.5"
  Chainstay Length (CS): 12.4" (31.5cm) - 13.2" (33.53cm)
  Head Tube Length: 4.6" (11.68cm)
  Head Tube Angle (HA): 75°
  Seat Tube Angle (SA): 71.5°
  Bottom Bracket Height: 11.8" (29.97cm)
  Standover Height (SO): 7.7" (19.56cm)
• Seat Clamp: integrated
• Seat Post Diameter: 25.4mm
• Bottom Bracket: Spanish BB
• Dropouts: Investment cast, 6.5mm thick, 14mm slots
• Chain Tensioners: integrated
• Brake Type: U-Brake
• Brakemounts: with (screwable, M6)
• Brakemounts included with delivery: not included with delivery
• Gyro compatible: Yes
• Features:
  - technical street/flatland frame, shorter top tube and lower seat tube for younger
• riders
  - hydroformed top and down tube for superior strength and stiffness
  - frame comes with 14mm slot dropouts
  - extruded top tube with integrated threads for cable guides
  - tapered seat stays and chain stays with bullet tipped ends
  - curved seat stay bridge and chain stay bridge
  - wider rear triangle allows clearance for a 2.3" tire
  - WTP top tube and down tube gusset
  - 6mm seat clamp bolt

A representational image showing a Richter scale reading. — AFP/File

Simpson Strong-Tie has introduced AT-3G, a new, all-weather, hybrid, acrylic anchoring adhesive engineered to deliver a faster-curing, high-strength bond for cracked and uncracked concrete and post-installed rebar connections.

The city of Sandy, Utah, is on the rise. 

DAP introduced the new HD Max construction adhesive, a premium, hybrid formula with polyurethane strength that provides superior durability and powerful adhesion, even in extreme temperatures.

After more than a year without in-person events, PSA TEC 2021 was hosted as a hybrid event last week, May 3-6, with around 200 people coming to the Sheraton in downtown Denver, Colo., and more tuning in online.

The critical job that SD cards play in video edge storage — either in a primary or secondary role — can’t be overstated.

Six different beam modes – turbo, spot and flood, spotlight, floodlight, ultralight, and peripheral floodlights – highlight the X1 model headlamp, which can be used at 650 or 750 lumens.

San Francisco — Slightly more than 70% of employers expect their workers to want a hybrid model when their physical workplace reopens, but only 55% plan to offer that option, according to the results of a recent survey.

The company upcycles food waste to grow mycelium protein.

Volume 29, Issue 7, October 2024. Read the full article ›

The post Embracing hybridity: the affordances of arts-based research for the professional doctorate in education was curated by information for practice.

How does a hybrid car improve your gas mileage? And more importantly, does it pollute less just because it gets better gas mileage? Learn how hybrids work, plus get tips on how to drive a hybrid car for maximum efficiency.

The hydro­thermal synthesis and structural characterization of four novel 3D pillared-layer metal–organic frameworks are studied, revealing how the malleability of copper coordination geometries drives diverse supramolecular isomerism. The findings provide new insights into designing advanced hybrid materials with tailored properties, emphasizing the significant role of reaction conditions and metal ion flexibility in determining network topologies.

Sorghum, a short-day tropical plant, has been adapted for temperate grain production, in particular through the selection of variants at the MATURITY loci (Ma1–Ma6) that reduce photoperiod sensitivity. Ma3 encodes phytochrome B (phyB), a red/far-red photochromic biliprotein photoreceptor. The multi-domain gene product, comprising 1178 amino acids, autocatalytically binds the phytochromobilin chromophore to form the photoactive holophytochrome (Sb.phyB). This study describes the development of an efficient heterologous overproduction system which allows the production of large quantities of various holoprotein constructs, along with purification and crystallization procedures. Crystals of the Pr (red-light-absorbing) forms of NPGP, PGP and PG (residues 1–655, 114–655 and 114–458, respectively), each C-terminally tagged with His6, were successfully produced. While NPGP crystals did not diffract, those of PGP and PG diffracted to 6 and 2.1 Å resolution, respectively. Moving the tag to the N-terminus and replacing phytochromobilin with phycocyanobilin as the ligand produced PG crystals that diffracted to 1.8 Å resolution. These results demonstrate that the diffraction quality of challenging protein crystals can be improved by removing flexible regions, shifting fusion tags and altering small-molecule ligands.

New software capabilities in RMCProfile allow researchers to study the structure of materials by combining machine learning interatomic potentials and reverse Monte Carlo.