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The lifting tool has been developed as per the BS EN13155-lifting accessories, non-fixed load lifting attachments, so as per these standards, counterbalance c-crane will develop and also customize mounting arrangement to be used for lifting the wind turbine components during the integration of the wind turbine. So these tools will be using in the production plant of the wind turbine components. Depending upon the depth of assembly, the fork arm length will decide. The lifting tool or attachment design will depend upon the fork arm geometry. Mounting tools are assembled with different parts, so these parts are connected by different joint connections like fasteners, welded joints, etc. The joints design will be followed by DIN EN 1993.1.8.2005-1, as per these standard instructions, joints to be designed.

Since the first cryptocurrency, Bitcoin, was invented in 2008, there are 105 Bitcoin fork projects in total. The number of them is still raising now. Whether it will keep increasing and what the increasing ratio is, are important and interesting questions. However there is no model to answer these question. Thus, this chapter tries to propose a population model, using a birth-death-immigration process, to estimate the number of Bitcoin fork projects.

The European Commission's Farm to Fork (F2F) strategy, under the European Green Deal, acknowledges that innovative techniques, including biotechnology, may play a role in increasing sustainability. At the same time, organic farming will be promoted, and at least 25% of the EU's agricultural land shall be under organic farming by 2030. How can both biotechnology and organic farming be developed and promoted simultaneously to contribute to achieving the Sustainable Development Goals (SDGs)? We illustrate that achieving the SDGs benefits from the inclusion of recent innovations in biotechnology in organic farming. This requires a change in the law. Otherwise, the planned increase of organic production in the F2F strategy may result in less sustainable, not more sustainable, food systems.

Most Bitcoin systems use blockchain technology to store all historical transaction data. Blockchain is a linked list structure but may be changed to a fork structure; a useful fork or an intentional fork. The useful fork may occur when the rules of the block are updated. On the other side, the intentional fork occurs when a miner has supercomputer properties that generate a set of blocks as a branch and does not publish this branch to the blockchain until the length of that branch is greater than the length of the main branch. When this fork occurs in the system, a set of blockchain transactions will be rollbacked, user waiting times increases, and miner rewards increases illegally. In this paper, the Lightweight algorithm is proposed to avoid the intentional fork issue and therefore rollback issue, users waiting time is reduced in the transaction process. The proposed algorithm is to make a single publisher in the system and divides the block construction into two phases. In the first phase, a miner generates a block and sends it to the memory pool. In the second phase, the memory pool will publish the block to the blockchain. The results show that the proposed algorithm has a good ability to avoid the intentional fork issue in the blockchain and the rollback issue thus minimize user waiting times.

From Farm to Fork Strategy is at the heart of the European Green Deal – the new growth strategy of the EU and a key to the implementation of Sustainable Development Goals (SDGs). From Farm to Fork Strategy is designed for building a fair, healthy and environmentally-friendly food system with an integrated food safety policy in the Union. Current paper presents some of the strategic accents of the main European documents and initiatives concerning future sustainable agri-food systems in the context of human health and well-being through the ecological, economic and social aspects of sustainability. Special attention is also paid to how the future Common Agricultural Policy (CAP) will contribute to the EU Green Deal, food quality and safety, and sustainable development as a whole. Particular examples are presented showing the support to the agriculture and food sectors amid Coronavirus and rural responses to the COVID-19 crisis as collected by the European Network for Rural Development (ENRD). Good practices from Bulgaria are also analyzed regarding the initiatives of promoting local food through farmers’ markets and online platforms and new challenges and best solutions. Conclusions focus on the general measures and actions for the effective transition to a fair, healthy and environmentally-friendly agri-food system. JEL Codes: I31, Q12, Q18, Q56

– Blockchain is considered the most secure technology in data storing, which stores data in blocks. Therefore. Blockchain is a linked list structure but may be changed to a fork structure; a usefulfork or a malicious fork. The usefulfork may occur when the rules of the block are updated. On the other side, the malicious fork occurs when a miner has supercomputer properties that generate a set of blocks as a branch and does not publish this branch to the blockchain until the length of that branch is greater than the length of the main branch, or when two blocks saved at the same time in the blockchain. TVhen theseforks occur in the systenb a set of blockchain transactions will be rollbacked, user waiting times increases, and miner rewards increases illegally. In this paper, a Lightweight algorithm is proposed to avoid the malicious fork issue, and therefore rollback issue, users waiting time is reduced in the transaction process. The proposed algorithm is to make a single publisher in the system and divides the block construction into two phases. In the first phase, a miner generates a block and sends it to the memory pool. In the second phase, the memory pool will publish the block to the blockchain. The results show that the proposed algorithm has a good ability to avoid the malicious fork issue in the blockchain and the rollback issue thus minimize user waiting times.

Vietnam’s Higher Education Reform Agenda 2006-2020 made the promotion of research a critical priority for the country. This emphasis was underlined again in a later master plan, the Science and Technology Development Strategy 2011-2020. *URL: https://www.universityworldnews.com/post.php?story=20201118123527565

A novel approach of autonomous decision-making of path re-planning for UGV is proposed when encountering the blocked road. The system includes a global route planner and a local path planner. Based on prior information in known environment, a topological map is built first to describe connectivity of roads. The global route planner does path planning or re-planning based on the topological map to generate the global route. According to the route, A* search algorithm combined with model predictive control is used for local path planning and judgment on the blocked road. The complete autonomous decision-making process includes: judgment of the local blocked road, reversing to the fork/intersection road node, the global route re-planning and detour through the blocked road. Experiments show that in known dynamic environment, the proposed approach can effectively solve the problem of path re-planning in order to improve the autonomous traffic performance for UGV.

The major challenges of operating data-intensive of Distributed Ledger Technology (DLT) are (1) to reach consensus on the main chain as a set of validators cast public votes to decide on which blocks to finalize and (2) scalability on how to increase the number of chains which will be running in parallel. In this paper, we introduce a new proximal algorithm that scales DLT in a large-scale Internet of Things (IoT) devices network. We discuss how the algorithm benefits the integrating DLT in IoT by using edge computing technology, taking the scalability and heterogeneous capability of IoT devices into consideration. IoT devices are clustered dynamically into groups based on proximity context information. A cluster head is used to bridge the IoT devices with the DLT network where a smart contract is deployed. In this way, the security of the IoT is improved and the scalability and latency are solved. We elaborate on our mechanism and discuss issues that should be considered and implemented when using the proposed algorithm, we even show how it behaves with varying parameters like latency or when clustering.

Temporary fork is a fundamental phenomenon in many blockchains with proof of work, and the analysis of temporary fork has recently drawn great attention. Different from existing efforts that focus on the blockchain system factors such as block size, network propagation delay or block generation speed, in this paper we explore a new key dimension of computing power from the miners’ perspective. Specifically, we first propose a detailed mathematical model to characterize the impact of computing power competition of the mining pools on the temporary fork. We also derive closed-form formula of the probability of temporary fork and the expected mining reward of a mining pool. To reveal the long-term trends on the computing power distributions over the competing mining pools, we then develop an evolutionary game framework based on the temporary fork modeling and accordingly characterize the set of stable evolution equilibriums. Both extensive numerical simulations and realistic blockchain data based evaluation provide evidence to support our theoretical models and discoveries.

Numerical structural analysis of electric bicycle design components is carried out in this research. Analysis is carried out for frame, front fork and battery holder of electric bicycle. Structural analysis for rest of the bicycle parts are not necessary because they are standard parts which can be both on the market. Numerical structural analysis is carried out in SolidWorks 2016 software package. During the structural analysis, the method of combined finite elements in the SolidWorks software package was used. This method is not very common in engineering practice. Results for Von-Mises stress and displacements are obtained. From the results, it can be noticed that the bicycle design can withstand the predicted loads. Methodology for numerical structural analysis presented in this paper can be used for structural analysis of similar other mechanical designs.

The Food and Agriculture Organisation of the United Nations (FAO) reports that by the year 2050 the global human population is likely to reach 9.7 billion, rising to 11.2 billion by 2100 (https://population.un.org/wpp/Publications/Files/Key_Findings_WPP_2015.pdf). This population growth poses several challenges to the global food system, which will need to produce more healthy food using fewer natural resources, reducing the environmental impact, conserving biodiversity and flexibly adjusting to changing societal expectations. Meeting this demand requires environmentally sustainable improvements to farmed animal health and welfare, and of efficiency and diversification (e.g. to include a broader range of locally adapted species) [1]. The changes in breeding strategies and management practises required to meet these goals will need to build on an improved ability to accurately use genotype to predict phenotype in the world’s farmed animal species, both terrestrial and aquatic (Figure 1). Here we describe a set of research priorities to meet such present and future challenges that build on progress, successes and resources from the Functional Annotation of ANimal Genomes (FAANG) project [2]. The first stages of FAANG focused on foundational data generation to characterise expressed and regulatory genomic regions, curation and provision of annotated farmed animal genomes [2,3]. These were largely based on individual level, high depth approaches [3]. The primary challenge facing this community now is harnessing these resources to link genotype, phenotype and genetic merit in order to translate this research out of the laboratory and into industry application in the field. To achieve this effectively, we will need to generate functional genomic information for large populations of animals, rather than relying on a small number of deeply annotated individuals. Furthermore, to date, most of the datasets are from tissues consisting of heterogeneous cell populations, hindering the resolution of functional information and limiting our ability to understand the fundamental cellular and subcellular processes underlying phenotypes. Since the original FAANG white paper was published in 2015 [2], exciting new opportunities have arisen to tackle these challenges. We describe a set of research action priorities for FAANG for the next decade (Figure 2), in each of the sections below.

Approval of active substances and authorisation of plant protection products in the EU is made based on a strict risk assessment of the agronomic use of the plant protection products. Regulation 1107/2009 regulates the procedure in the EU with complex procedures involving many actors. ‘The Farm to Fork strategy’ and ‘The Biodiversity for 2030 strategy’, that are the heart of the ‘European Green Deal’, aiming to make food systems fair, healthy, environmentally friendly and put Europe's biodiversity on the path to recovery by 2030, for the benefit of people, climate and the planet. Therefore, ‘The Farm to Fork strategy’ and ‘The Biodiversity for 2030 strategy’ represents a challenge for the evaluation and authorisation of plant protection products in which the risk management will constitute a key element on the approval of active substances and authorisation of plant protection products. The aim of the work was to get knowledge of the large body of EU legislation and guidelines in the plant production products, identifying the most critical points of the pesticide evaluation in each of its areas, analysing the complexity and the interaction between these different areas. This study allowed to have a global and clearer vision of these procedures, with the focus on highlighting inconsistency and to propose speed up alternatives. Finally, this work will also facilitate not only the risk assessment but also the decision‐making on the approval of active substances and the authorisation of plant protection products.

It’s hard to argue against the sentiments of continuity of care, longer consultations, and empathy in general practice put forward by Gray and colleagues,1 but it’s also hard to reconcile this wish list with the trend for flexible working, early retirement, …

We must choose a personal not an impersonal future Covid-19 has produced the biggest change in the organisation of UK general practice for 200 years. As in many countries, face-to-face consultations have fallen to about 10% of their previous level and most contacts are now provided remotely using symptom checkers, electronic messaging, and phone or video consultations. Several of these changes may be permanent, with fewer face-to-face consultations in future. Opportunity and danger are two aspects of change: both now apply to general practice. GPs currently have quieter waiting rooms, fewer locums, and reduced regulatory burdens such as from Care Quality Commission inspections. However, normal workload is returning, and while remote consulting makes access much easier for some patients, there is a real risk that general practice will suddenly become less personal. Worryingly, remote consultations may increase overall GP workload and exclude patients without internet access.1 This colossal change in organisation occurred just when research on the doctor-patient relationship had reached new heights. Over many years, research on the value of continuity of care has progressively strengthened. As early …

As per current government directives, every automobile OEM has to come up with EV model by 2020. But current Indian road conditions demand variation in torque requirement which leads to uncomfortable ride and so affecting the battery life of electric bike. So there is a need to optimize existing traditional suspension system to experience better and comfortable ride with electric bike which may lead to extend battery life. With this objective, present research and development work initiated to design, develop, and analyze traditional suspension system specifically for an electric bike on bumpy roads using simulation behavior of the spring and damper. The study involves development of solid CAD model of two inverted telescopic spring and damper systems, viz. primary and secondary and virtual simulation of the CAD model in ADAMS software. Spring and damper systems are joined together with different set of attachments and classified them as traditional and optimized one to achieve the desired objectives. To compare the traditional and optimized suspension system, transmissibility analysis at bump size of 10 cm and 3 cm is carried out and corresponding stress developed in shackle plate and fork body is also analyzed to make sure that stresses are within permissible limit of material.

It is generally accepted that one need to select the correct tool for a given task. The same holds for eating utensils. A cake eating experiment was designed to determine if the visual appearance of cakes with different associated hardness would affect the choice of eating utensil. A total of 25 participants was recruited. The results did not reveal any effect of cake type, or presentation layout on the choice of eating utensil. It therefore seems that other factors, such as, for instance, customs and/or habits, are more influential in the choice of cake eating tool choice.

How the replisome senses and deals with DNA secondary structures has been a mystery. A new study from the Sale and Pellegrini laboratories finds that the Timeless protein has a G-quadruplex binding domain that works together with the DDX11 helicase to facilitate replication of G4 DNA structures.

Agri-food supply chains refers to the connections that exist across the agri-food stakeholders from farm to fork related processes. In this environment, operations like planning and control are critical to enhance agri-food supply chains performance and decisions, which are considered complex mainly because the presence of a high variety of information and variables that are required to be managed simultaneously. Hence, the use of a combination of methods, methodologies and multidisciplinary approaches are one of the key trends in research to handle these complexities. The purpose of this is to benefit the agri-food sector by identifying sustainable solutions that will enhance social opportunities, as well as livelihoods, local and national economies. From this, impacts are expected in terms of providing stakeholders with validated scenarios to improve agri-food supply chain resilience, establish agri-food decision-making guidelines to enhance agriculture quality delivery and strengthen agri-food stakeholders position in local and global supply chains. However, since the interdependencies between agri-food stakeholders are related to several agri-food activities, resources and systems, the establishment of collaborative business models across the agri-food supply chain has turned more important than ever, specially to support global agri-food supply chains, food safety and traceability in response to the sustainable global challenges. Therefore, aligned with the H2020 RUC-APS research project, this research focuses in addressing key decision-making challenges in agri-food supply chain environments by connecting key operations management methodologies to collaborative research approaches in the regions of Europe, Asia and South America. The objective is to identify the operations management situations where decisions are made difficult by uncertainty in the agri-food domain, within the study and implementation of Operations Management based approaches in agri-food supply chains.

In Blockchain, fork is a fundamental impediment to consensus mechanisms such as Proof-of-Work (PoW). In this paper, we study the fork probability of the famous Proof-of-Useful-Work (PoUW) consensus mechanism, which has recently been proposed to solve the huge waste of computing resources in PoW. With PoUW, each miner first does useful work (e.g., data classification), and then competes for the leader according to the number of the executed CPU instructions. Compared with conventional factors such as network delay, the time of doing useful work is a new and salient factor leading to a fork for a PoUW-based blockchain. Taking into account some important factors (e.g., the time of doing useful work, computational power, network delay), we propose a theoretical model to characterize the impact of these factors on the PoUW fork probability. Extensive simulations verify that our model is very accurate. This study is helpful for providing guidance of configuring PoUW parameters.

In the original version of this Article, the figures were not in the correct sequence, and the references and legends did not match with the figures. This has now been corrected in the PDF and HTML versions of the Article.

Blockchains are distributed replicated state machines with a continuously increasing data storage underneath. The size of the storage can cause problems especially in limited IoT devices. In order to address that, this paper is based on the following ideas: While two state transitions could be replaced by a single one to represent the same state, this is not commonly done to reduce the blockchains storage size. To facilitate squashing of transactions independent of the application semantics a blockchain frameworks needs to know the interdependencies of transactions. In this paper we propose an explicit dependency model for any transaction in a blockchain. In this way a blockchain-framework can preselect connected transactions without business process semantics for a squash operation. These connected transactions are passed to the application for the squash to be performed. This ideally produces less transactions while achieving the same application state to be used for a reintroduction as new blocks within a fork for a smaller overall storage footprint.

The notion of forking has changed with the rise of distributed version control systems and social coding environments, like GitHub. Traditionally forking refers to splitting off an independent development branch (which we call hard forks); research on hard forks, conducted mostly in pre-GitHub days showed that hard forks were often seen critical as they may fragment a community. Today, in social coding environments, open-source developers are encouraged to fork a project in order to contribute to the community (which we call social forks), which may have also influenced perceptions and practices around hard forks. To revisit hard forks, we identify, study, and classify 15,306 hard forks on GitHub and interview 18 owners of hard forks or forked repositories. We find that, among others, hard forks often evolve out of social forks rather than being planned deliberately and that perception about hard forks have indeed changed dramatically, seeing them often as a positive non-competitive alternative to the original project.

As one of the important components of intelligent warehousing logistics, Automated Guided Vehicles (AGVs) have greatly improved the efficiency of warehousing operations. AGVs are responsible for the delivery of goods in warehousing and logistics, and it is extremely important to maintain a stable running state. In this paper, an AGV in-situ steering dynamic model is established according to the actual size, and the center deviation phenomenon during AGV steering is theoretically analyzed to obtain the parameters that affect the AGV&rsquo, s in-situ steering stability. Secondly, the dynamic simulation method is used to analyze the law of the stability of the AGV in-situ steering parameters to verify the correctness of the theoretical derivation equation. According to the analysis results, the motion parameters related to AGV in-situ steering are analyzed, and a reasonable design scheme is given. Based on the optimized fork-type AGV, the AGV in-situ steering control strategy is studied, and the adaptive fuzzy PID control algorithm is used to construct the fork-type AGV steering control system. Then the software and hardware design of the AGV steering control system is carried out. The optimized fork-type AGV has been turned to work stably after commissioning, meeting the actual work requirements.

Background The COVID-19 pandemic has generated a new era in the world while we still figure out the consequences in different aspects of our daily life. The food supply chain and the food industry do not comprise an exception. Scope and approach This review summarizes the possible transmission ways of COVID-19 through the foods, food supply chain, surfaces, and environment before exploring the development of corresponding detection tools of SARS-CoV-2. For the time being, the possibility of transmission through the food sector is considered negligible, and tracing of SARS-CoV-2 in working environments is not considered as a priority by public authorities. However, the adverse effects on the environment, food systems, and people along the food supply chain are already evident. Key findings and conclusions As long as we move from farm to fork, more safety measures are needed since more people (and subsequently more potential sources of infection) are involved in the process. The need for developing respective bioanalytical protocols for food and environmental safety applications to adapt in the post-lockdown period is also highlighted., Highlights • The food supply chain and the food industry are affected by the COVID-19 pandemic. • Review of COVID-19 transmission through food supply chain, surfaces and environment. • Moving from farm to fork, more safety measures are needed. • The development of respective detection tools for SARS-CoV-2 is explored. • Need for analytical tools for food and environmental safety after the lockdown.

One of the biggest strength of many modern programming languages is their rich open source package ecosystem. Indeed, modern language-specific package managers have made it much easier to share reusable code and depend on components written by someone else (often by total strangers). However, while they make programmers more productive, such practices create new health risks at the level of the ecosystem: when a heavily-used package stops being maintained, all the projects that depend on it are threatened. In this paper, I ask three questions. RQ1: How prevalent is this threat? In particular, how many depended-upon packages are maintained by a single person (who can drop out at any time)? I show that this is the case for a significant proportion of such packages. RQ2: How can project authors that depend on a package react to its maintainer becoming unavailable? I list a few options, and I focus in particular on the notion of fork. RQ3: How can the programmers of an ecosystem react collectively to such events, or prepare for them? I give a first look at an emerging model of community organizations for the long-term maintenance of packages, that appeared in several ecosystems., Comment: 3rd International Workshop on Software Health (SoHeal), May 2020, Seoul, South Korea

In this paper, a kinematic model for the platform pitch angle of a shrimp rover is presented with in-built passive adaptability and ability to move in unstructured environments. With the rhombus configuration of the shrimp rover, platform pitch angle was determined over different types of terrains. The kinematic model of the shrimp rover was established and the rotation angles and the Pitch angle for the Platform of the Front Fork, Boogies and rear Wheel were analyzed. The Kinematic analysis and the Simulations were performed using MATLAB, Solid Works.

Consistent checkpointing is an essential technique for in-memory databases (IMDBs) to achieve some persistence to data. Towards a fast consistent checkpointing with low overhead and low memory footprint, many consistent checkpointing algorithms have been proposed. However, recent work revealed that the simple fork-based checkpointing scheme used for industrial IMDBs could indeed outperform the state-of-the-arts in terms of average latency, latency spike, and implementation effort. On the other hand, the existing fork-based checkpointing scheme has a memory footprint issue, which remains unsolved; memory usage increases incrementally (up to 2x) during checkpointing for update-intensive workloads. This paper introduces a memory dump based checkpointing scheme, called MDC. With minor operating system supports, our scheme can suppress the increase in memory footprint during checkpointing. By logging the virtual addresses of the objects and by novelly exploiting memory dump, MDC allows pages to be returned to the OS sooner, before the checkpointing process is completely done. This gives the OS the opportunity to reduce the copy-on-write fault overhead because write protection can be ignored when the faulting page is private, thus no page duplication incurs. We implement and apply our scheme into Redis. Extensive evaluations show that our scheme yields a much lower maximum memory footprint and marginally higher throughput in an update-intensive workload scenario.

Purpose: Prior to graduation, all medical students are expected to master the delivery of two basic hearing examinations: the Rinne and Weber tuning fork tests. Throughout basic science years, these tests are routinely examined to determine student competency in clinical skills. However, there exists a high level of variation between practitioners in their modes of implementing these examinations. Materials and methods: Utilizing online databases, YouTube and PubMed, the phrases “Rinne tuning fork test” and “Weber tuning fork test” were searched to find instructional guidelines on how to perform these hearing examinations. Each medium was assessed on five different parameters related to clinical implementation of the hearing exam. In total, 31 of 35 videos met inclusion criteria with views ranging from 1,000 to 1,100,000 and were subsequently assessed for data collection. Results: Through our research investigating instructional video resources of the Rinne test, as well as guidelines in textbooks and journal articles, we were able to determine the major source of incongruity in the instructional process. Of the 31 videos analyzed, bone conduction was tested prior to air conduction in 30 of the 31 videos, while 20 of 31 practitioners held the fork tines parallel to the axis of hearing with the point of reference being the external auditory canal. Only 3 of 31 videos provided guidance regarding the distance the tuning fork should be held away from the patient. A high level of variability exists concerning the purported best approach to testing air and bone conduction in the educational materials available. Conclusion: After reviewing and cross-referencing multiple sources from different mediums, the conclusion was drawn that specific parameters of delivery did not impact the diagnostic reliability of the Rinne test. The major commonality amongst these educational sources was that patients must be able to identify air conduction being louder that bone conduction in order to have a “positive” Rinne test. Given the high level of discrepancy that exists and the likelihood that these examinations will be replaced by audiometry, are these screening tests necessary to teach medical students? Keywords: Rinne test, Weber test, Hearing test, Medical education, Audiometry

Operating systems is the last required course in our undergraduate Computer Science major. Although our students have had two semesters of programming in C++, one in assembler, and a semester of data structures using the C++ Standard Template Library, many of them have weak mastery of some important programming topics. In addition, they have had minimal exposure to using these constructs with real world data structures. In this paper we describe how we have used the assignments in a Linux-based Operating Systems course to remedy these deficiencies while teaching a full semester of OS content. Assignments include retrieving data via standard API calls and from /proc; process management, including fork, wait and system; building a microshell with fork/exec and pipe/dup; semaphore handling; and building an OS simulator. We have rewritten these assignments to provide additional practice with data type conversion, pointers and memory management, file handling, classes and subclasses, and the use of vectors, maps and other data structures in the STL.

Achieving load balance is a challenge for irregular applications. Balancing runtimes and libraries aim at relieving the programmer from this difficult task by proposing a layer of abstraction between the computation at hand and the hardware used to actually perform it. With the rise of many-core architectures, load balancers for distributed computation are now expected to handle unbalance both between and within compute nodes. We bear a particular interest in backtrack search algorithms where branches of the exploration tree can be processed in parallel. Profile-based load balancers cannot be applied to them as the computation need only be performed once. It is therefore vital to promptly detect and address load unbalances from the start. A popular solution consists in using the fork/join model. Another approach on which we focus in this article is implemented in the load balancing library of X10. Both of these schemes are sensitive to task granularity. Fined-grained tasks may incur significant overhead, especially with the increased number of parallel workers of many-core architectures, while coarse-grained tasks may cause starvation. Determining a suitable grain size for a particular application is difficult. In this article we present our Java implementation of the X10 load balancing scheme. We extend it with a tuning mechanism which dynamically adjusts the task granularity, increasing the library's versatility and usability. We demonstrate the capabilities of our tuning mechanism to suit many-core clusters using four applications: Unbalanced Tree Search, Pentomino, the Traveling Salesman Problem, and N-Queens. We achieve near identical performance to the ideal fixed grain executions on the first three but suffer from a more significant performance gap on the N-Queens problem. We advance hypotheses as to why.

This review discusses recent advances in single-particle cryo-EM and single-molecule approaches used to visualise eukaryotic DNA replication reactions reconstituted in vitro. We comment on the new challenges facing structural biologists, as they turn to describing the dynamic cascade of events that lead to replication origin activation and fork progression.

For motorcycles, various suspension concepts for the front steerable wheel have been developed over decades. Even if the telescopic front fork has been eventually established as a common design, other alternative designs are still being evolved. A design of such an alternative - a multi-link suspension, particularly utilised for motorcycles with a sidecar, is discussed in the present paper. Beside some modelling aspects, optimisation of suspension’s kinematics and benefits of an asymmetric layout for left and right cornering are elaborated.