Analysis of genetic diversity in Arrhenatherum elatius Germplasm using inter-simple sequence repeat (ISSR) markers

The genetic diversity of 19 Arrhenatherum elatius accessions was analyzed using 100 inter-simple sequence repeat (ISSR) primers, out of which 11 generated distinct amplification products. Out of the 152 total bands detected, 107 were polymorphic. The percentage of polymorphic bands (PPB) was 68.9% with an average of 9.73 polymorphic bands per primer. The ISSR-based genetic similarity (GS) coefficients among the 19 accessions ranged from 0.4821 to 0.7411, revealing high genetic diversity. Based on the UPGMA cluster analysis and the principal components analysis (PCA), the 19 A. elatius accessions were divided into three groups with similar situations. We found that the genetic distance was related to the geographical distance among the 19 A. elatius accessions studied. These results confirm the potential value of genetic diversity preservation for future breeding programs.Key words: Arrhenatherum elatius, genetic diversity, inter-simple sequence repeat (ISSR) markers

Lessons Learned on Adopting Automated Compliance Checking in AEC Industry: A Global Study

Over the last decades, numerous Automated Compliance Checking (ACC) systems have been developed. However, ACC is still not broadly used in the real world today; little is known as to how ACC can be better accepted by the end users. This paper reports on a multiple-case study to learn valuable lessons from recent attempts to adopt Automated Compliance Checking (ACC) systems world21 wide. Firstly, eighteen semi-structured interviews were conducted with twenty experts from eight countries and supplementary data (e.g. documents, product information, and literature) related to each case were collected. Secondly, the interview and supplementary data were then coded to develop prominent themes. Thirdly, through a cross-case analysis, twelve most determining variables that could influence the ACC adoption were identified. Three path models that explain the interrelationships between these variables and ten propositions that can guide future ACC adoption were deduced. The results indicate that the government should play an important role to facilitate ACC adoption through funding, policies, and incentives. This study also provides valuable information to software vendors for delivering ACC systemsthat meet the needs of the industry, and for innovation managers in the industry to develop appropriate adoption plans for the ACC technology

Effect of farnesyltransferase inhibitor R115777 on mitochondria of plasmodium falciparum

The parasite Plasmodium falciparum causes severe malaria and is the most dangerous to humans. However, it exhibits resistance to their drugs. Farnesyltransferase has been identified in pathogenic protozoa of the genera Plasmodium and the target of farnesyltransferase includes Ras family. Therefore, the inhibition of farnesyltransferase has been suggested as a new strategy for the treatment of malaria. However, the exact functional mechanism of this agent is still unknown. In addition, the effect of farnesyltransferase inhibitor (FTIs) on mitochondrial level of malaria parasites is not fully understood. In this study, therefore, the effect of a FTI R115777 on the function of mitochondria of P. falciparum was investigated experimentally. As a result, FTI R115777 was found to suppress the infection rate of malaria parasites under in vitro condition. It also reduces the copy number of mtDNA-encoded cytochrome c oxidase III. In addition, the mitochondrial membrane potential (Delta psi m) and the green fluorescence intensity of MitoTracker were decreased by FTI R115777. Chloroquine and atovaquone were measured by the mtDNA copy number as mitochondrial non-specific or specific inhibitor, respectively. Chloroquine did not affect the copy number of mtDNA-encoded cytochrome c oxidase III, while atovaquone induced to change the mtDNA copy number. These results suggest that FTI R115777 has strong influence on the mitochondrial function of P. falciparum. It may have therapeutic potential for malaria by targeting the mitochondria of parasites.1133Ysciescopu

High-energy scale revival and giant kink in the dispersion of a cuprate superconductor

In the present photoemission study of a cuprate superconductor Bi1.74Pb0.38Sr1.88CuO6+delta, we discovered a large scale dispersion of the lowest band, which unexpectedly follows the band structure calculation very well. The incoherent nature of the spectra suggests that the hopping-dominated dispersion occurs possibly with the assistance of local spin correlations. A giant kink in the dispersion is observed, and the complete self-energy containing all interaction information is extracted for a doped cuprate in the low energy region. These results recovered significant missing pieces in our current understanding of the electronic structure of cuprates.Comment: 4 pages, 3 figures, submitted to Phys. Rev. Lett. on May 21, 200

Dynamic provisioning of cloud resources based on workload prediction

© Springer Nature Singapore Pte Ltd. 2019. Most of the businesses nowadays have started using cloud platforms to host their software applications. A cloud platform is a shared resource that provides various services like software as a service (SAAS), infrastructure as a service (IAAS) or anything as a service (XAAS) that is required to develop and deploy any business application. These cloud services are provided as virtual machines (VM) that can handle the end-user’s requirements. The cloud providers have to ensure efficient resource handling mechanisms for different time intervals to avoid wastage of resources. Auto-scaling mechanisms would take care of using these resources appropriately along with providing an excellent quality of service. The researchers have used various approaches to perform auto-scaling. In this paper, a framework based on dynamic provisioning of cloud resources using workload prediction is discussed

Investigating the New Zealand Off-Site Manufacturing Industry’s Readiness for Automated Compliance Checking

Numerous automated compliance checking (ACC) approaches have been developed over the last half of the twentieth century. However, little is known as to how well the ACC technology has served the off-site manufacturing (OSM) industry from the end users’ perspective. This paper aims to measure the New Zealand (NZ) OSM industry’s awareness and readiness for ACC and explore a pathway toward wider ACC adoption. It first reports on a survey study in NZ with 44 valid survey responses. It then proposes a high-level roadmap with key actions that can facilitate wider ACC adoption through 16 interviews with international ACC experts and a focus group with nine local OSM stakeholders. The results show that although there is a high demand for automating compliance processes, the OSM industry, especially small and medium enterprises, are not ready to adopt the ACC technology. Suggestions to address this include (1) establish the foundation for broad ACC adoption; (2) boost the development of the ACC technology to expedite its maturity, (3) test the ACC technology under different scenarios and customize it for the NZ context; (4) encourage the government to provide funding and policy support; and (5) promote education and training of both building information modeling (BIM) and ACC to OSM stakeholders. The results can provide software vendors with valuable information about user expectations and requirements to develop ACC products that can better serve NZ OSM projects, and help OSM stakeholders in NZ and countries with similar economic and regulatory structures to understand the technological and nontechnological gaps to better prepare for the ACC technology adoption

Virtual reality pre-prosthetic hand training with physics simulation and robotic force interaction

Virtual reality (VR) rehabilitation systems have been proposed to enable prosthetic hand users to perform training before receiving their prosthesis. Improving pre-prosthetic training to be more representative and better prepare the patient for prosthesis use is a crucial step forwards in rehabilitation. However, existing VR platforms lack realism and accuracy in terms of the virtual hand and the forces produced when interacting with the environment. To address these shortcomings, this work presents a VR training platform based on accurate simulation of an anthropomorphic prosthetic hand, utilising an external robot arm to render realistic forces that the user would feel at the attachment point of their prosthesis. Experimental results with non-disabled participants show that training with this platform leads to a significant improvement in Box and Block scores compared to training in VR alone and a control group with no prior training. Results performing pick-and-place tasks with a wider range of objects demonstrates that training in VR alone negatively impacts performance, whereas the proposed platform has no significant impact on performance. User perception results highlight that the platform is much closer to using a physical prosthesis in terms of physical demand and effort, however frustration is significantly higher during training

3D culture technologies of cancer stem cells: promising ex vivo tumor models

Cancer stem cells have been shown to be important in tumorigenesis processes, such as tumor growth, metastasis, and recurrence. As such, many three-dimensional models have been developed to establish an ex vivo microenvironment that cancer stem cells experience under in vivo conditions. Cancer stem cells propagating in three-dimensional culture systems show physiologically related signaling pathway profiles, gene expression, cell–matrix and cell–cell interactions, and drug resistance that reflect at least some of the tumor properties seen in vivo. Herein, we discussed the presently available Cancer stem cell three-dimensional culture models that use biomaterials and engineering tools and the biological implications of these models compared to the conventional ones