Rambus (United Kingdom)

Fever is a common symptom in children, which represents one of the burning issues for parents due to excessive concern and frequent medical attention. Most febrile episodes are not harmful but could be viewed as a beneficial response to infection. Despite this, ‘’fever phobia” remains prevalent among parents, and improper handling of childhood fever has been recorded for nearly two decades. Nevertheless, numerous health professionals have documented unanticipated concerns regarding the handling of negative attitudes. This was a systematic review of the literature to explore the perception of childhood febrile illness among parents and health professionals based on a comprehensive literature search. Childhood febrile illness continues to provoke fear in both parents and healthcare providers. Healthcare professionals play a crucial role as the main source of information for parents and carry the responsibility of alleviating parental anxiety. A multicomponent intervention including training of healthcare professionals should be implemented to achieve a reduction in hospital burden and undue parental concern, thereby improving the management strategy of uncomplicated febrile illness in children. The concerning misperception regarding fever and its management in children persists among both parents and health professionals within the community, despite advancements in education and scientific knowledge. There is an utmost requirement to prepare specific guidelines and spread awareness in the community about the management of febrile illnesses in children. Jalalabad Med J 2024; 21 (2); 79-87

OmnibusX is an integrated, privacy-centric platform that enables code-free multi-omics data analysis by bridging computational methodologies with user-friendly interfaces. Designed to overcome challenges posed by fragmented analytical tools and high computational barriers, OmnibusX consolidates workflows for diverse technologies - including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics - into a single, cohesive application. The application integrates established open-source tools such as Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines, offering users control over analytical parameters. Additionally, OmnibusX features proprietary modules, including a highly accurate cell-type prediction engine and an interactive plotting editor for generating publication-quality visualizations. Available as a standalone desktop application and an enterprise edition for centralized server deployment, OmnibusX ensures all data processing is conducted locally, eliminating external data transfer and usage tracking. By lowering technical barriers and enhancing reproducibility, OmnibusX aims to accelerate biological discovery and foster robust, data-driven collaborations. A fully documented trial version is accessible at: https://omnibusx.com/apps.

Federated learning (FL) enables collaborative model training without sharing raw data, which is ideal for telecom applications spanning on-premises datacenters, Azure, and third-party (3PC) clouds. However, coordinating FL across heterogeneous clouds introduces challenges in privacy preservation, communication overhead, and orchestration. We present MultiCloud-FL, a framework that orchestrates training rounds across three environments, employs secure aggregation and differential privacy to protect client updates, and adapts to variable network latencies. In experiments training an image-classification model on a synthetic telecom dataset partitioned across environments, MultiCloud-FL achieved: • 94.2 % accuracy (vs. 95.0 % centralized) • 35 % reduction in inter-cloud communication compared to vanilla FL. • Differential-privacy (1.0) with 1.5 % accuracy loss We detail system architecture, secure protocols, mermaid diagrams, quantitative evaluation, and discuss limitations and future directions.

The rapid expansion of multi-cloud infrastructures amplifies energy consumption and carbon footprint, challenging telecom operators to balance performance, cost, and sustainability. This paper introduces EcoSched, a green-cloud scheduler that dynamically places and migrates workloads across on-premises clusters and public clouds (Azure, AWS) to minimize total energy use while satisfying latency and availability SLAs. EcoSched combines workload forecasting, carbon-intensity APIs, and a multi-objective optimization engine. In a 30-day experiment with video-processing and signaling services under bursty loads, EcoSched reduced energy consumption by 24 % and carbon emissions by 18 % compared to baseline round-robin scheduling, with SLA violation rate under 1 %. We detail system design, prediction models, scheduler algorithm, architecture, quantitative evaluation, and discuss deployment considerations

On-chip metal routings are resistive in nature, due to thin metal layers, causing voltage drop (IR drop) on the on-die power network. Using iterative block power assignment flow (BPA), we can identify critical blocks in design and non-critical blocks based on their current requirement and boil down further into sub-blocks to assign right currents to each transistor. Using the presented current assignment approach, accurate IR drop prediction can be achieved with resolution down to every single transistor in critical blocks and at same time reduce massive full chip simulation times.

This service activity has a long-term goal to realize SMK Handayani Makassar students who have knowledge and creativity in the computer field, especially for design applications. The short-term goal is to educate students in using tools in graphic design applications, namely Corel Draw, so that students are expected to be able to design and develop students' creative talents in the field of design. This activity was carried out with a comprehensive mentoring method to students of SMK Handayani Makassar through socialization of graphic design applications, using the Corel Draw application. The final output that will be achieved from this activity is an increase in students' ability to use computers as a tool for developing student creativity in the field of design. In addition, students have a guide to using the Corel Draw application to help students use tools and develop into image designs or logo creation. Scientifically, the ultimate goal in this service activity is to publish the results of this service in service journals or mass media publications.

RISC-V has emerged as a viable solution on academia and industry. However, to use open source hardware for safety-critical applications, we need a deep understanding of the way in which well established mechanisms for testing and reliability could be integrated and deployed on the RISCV ecosystem, and we need a clear knowledge on how such an ecosystem can be leveraged to improve security. This paper includes four contributions presenting the potential of RISC-V in security research, the way in which RISC-V can be hardened against power analysis attacks, how to implement, using RISCV, software and hardware/software solutions for dual core lock step, and how to perform system-level testing in the RISC-V ecosystem.

Einleitung Die hereditäre hämorrhagische Teleangiektasie (HHT, M. Osler) ist eine seltene Erbkrankheit, welche oft mit Nasenbluten und Teleangiektasien einhergeht. Letztere finden sich auch im Gesicht und Mundraum. Nach Erstmanifestation ist die Diagnose oft um Dekaden verzögert. Dies ist problematisch, da ein frühzeitiges Screening auf viszerale Manifestationen empfohlen wird, um schwerwiegende Komplikationen zu verhindern.

Полномасштабное развертывание интеллектуальных транспортных систем с транспортными средствами автоматизированного движения и связанной дорожной инфраструктурой в урбанизированных пространствах открывает не только дополнительные перспективы роста эффективности отрасли перевозок, но и ведет к появлению дополнительных источников угроз, рисков и зон уязвимости таких систем. При расширении состава различного рода угроз нарушения штатного функционирования беспилотного автомобильного транспорта (CAV), включая воздействия на каналы информационного взаимодействия всех участников дорожного движения и элементов дорожной инфраструктурой в рамках интеллектуальной транспортной системы (ITS), требуется дальнейшее совершенствование норм и требований правового и технического регулирования создания и эксплуатации CAV. Это расширение области и задач тестирования безопасности автомобильного общественного, личного, коммерческого и специального транспорта, в том числе за счет проверки информационной безопасности при валидации и верификации как CAV, так и компонентов ITS. В рамках системного подхода с использованием методов контентного, логического и сравнительного анализа проведено уточнение предметной области исследования, охарактеризовано состояние нормативных требований национальных регуляторов по обеспечению информационной безопасности подключенных и автоматизированных транспортных средств, рассмотрены методические подходы по тестированию по информационной безопасности автоматизированного дорожного движения в рамках интеллектуальной транспортной системы. В работе представлен концептуальный подход к идентификации комплексной модели угроз для информационной безопасности технологической платформы информационного взаимодействия «беспилотное транспортное средство-дорожная инфраструктура». Проведенное исследование на основе анализа требований безопасности для беспилотных автомобилей и уточнения понятий в сфере обеспечения информационной безопасности эксплуатации CAV и функционирования ITS в условиях перехода к мобильной связи поколения 5G позволило получить следующие результаты: определить состав типовых зон уязвимостей и потенциальных атак; охарактеризовать спектр основных угроз, классифицировать основных агентов угроз информационной безопасности в архитектуре CAV и инфраструктуре ITS. Прикладное значение полученных результатов исследования состоит в возможности использования представленной модели угроз информационной безопасности CAV при разработке методических подходов и аналитических инструментов для организации и тестирования в рамках лабораторных экспериментов и полигонных испытаний различных видов преднамеренных нарушений каналов информационного взаимодействия отдельных устройств CAV, группы автономных транспортных средств и отдельного CAV с ITS. После закрепления нормативных требований в отечественном стандарте информационной безопасности CAV возможным направлением дальнейших исследований может стать разработка технологической и экономической моделей тестирования информационной безопасности в рамках ITS для национальной системы сертификации CAV различного типа.

Recounts the career and contributions of Jim Meindl.