Integrasi realiti terimbuh (AR) dalam aktiviti mewarna

Mewarna merupakan salah satu kaedah pembelajaran yang digunakan untuk meningkatkan kemahiaran psikomotor dan kreativiti kanak-kanak. Namun begitu, kandungan yang disediakan di dalam buku mewarna adalah bersifat statik dan tidak menyediakan elemen-elemen dinamik seperti interaktiviti. Kanak-kanak mudah merasa bosan kerana tiada interaksi dua hala yang berlaku antara mereka dan karakter ketika proses mewarna dilakukan. Sebagai penambahbaikan terhadap permasalahan tersebut, satu aplikasi mewarna yang dinamakan Dr Bubble Coloring AR dibangunkan. Aplikasi ini menggunakan teknik realiti terimbuh (AR) yang diintegrasikan ke dalam aplikasi mewarna. Imej yang diwarnakan menjadi penanda untuk diimbas oleh peranti mudah alih lalu dipaparkan secara maya dalam bentuk tiga dimensi (3D). Aplikasi ini menyediakan bebutang interaksi bagi membolehkan pengguna berinteraksi dengan karakter serta mengesan objek yang diwarnakan di dalam buku mewarna. Secara keseluruhan, 75% responden sangat bersetuju aplikasi ini menarik dan menyeronokkan, manakala 84% responden sangat bersetuju keseluruhan aplikasi ini berfungsi dengan baik dan sempurna

Experimental study and numerical modelling of woven fabric kenaf fiber composites hybrid adhesively bonded-bolted joints

Couple with natural fiber composite parts, hybrid joints provide better joint strength than using separate joints. There are limited studies on structures response and strength prediction work on hybrid joints that limits its applicability. The aim of present study is to conduct experimental datasets on woven fabric kenaf fiber reinforced polymer (KFRP) and carbon fiber reinforced polymer (CFRP) composite hybrid joints under quasi-static testing and to carry out the strength prediction works subsequently by implementing physically-based traction-separation constitutive law. Testing series investigated includes variation of joint types, normalized W/d = 2 to 5, reinforcing fiber composites, lay-up types, plate thickness and bolt loads. Experimental observations and bearing stress at failures were conducted, the datasets were then used as validation works in FEA modelling. All KFRP hybrid joint series demonstrated net-tension failure mode associated to stress concentration at the vicinity of notch tip. Initially, strength prediction works were attempted by implementing various numerical approaches and fully XFEM techniques was adopted to all series as it provides promising results with better physically representation and less computational time. Good agreements between experimental datasets and predicted bearing stress at failure were found in KFRP hybrid joints with average discrepancy of less than 23%. It was found that combinations of thicker and cross-ply lay-up gives the best prediction of less than 2 % (where experimental datasets and FEA output were given as 201 N/mm2 and 198 N/mm2 respectively) due to better repetitive lay-up with implementation of smeared-out properties. Less significant effects from bolt loads and reinforcing fibers were found for both joint types. It can be concluded that fully XFEM technique able to provide as a unified prediction tools in hybrid joints of most composite materials with reasonable agreements

A multisite study of performance drivers among institutional review boards.

Introduction:The time required to obtain Institutional Review Board (IRB) approval is a frequent subject of efforts to reduce unnecessary delays in initiating clinical trials. This study was conducted by and for IRB directors to better understand factors affecting approval times as a first step in developing a quality improvement framework. Methods:807 IRB-approved clinical trials from 5 University of California campuses were analyzed to identify operational and clinical trial characteristics influencing IRB approval times. Results:High workloads, low staff ratios, limited training, and the number and types of ancillary reviews resulted in longer approval times. Biosafety reviews and the need for billing coverage analysis were ancillary reviews that contributed to the longest delays. Federally funded and multisite clinical trials had shorter approval times. Variability in between individual committees at each institution reviewing phase 3 multisite clinical trials also contributed to delays for some protocols. Accreditation was not associated with shorter approval times. Conclusions:Reducing unnecessary delays in obtaining IRB approval will require a quality improvement framework that considers operational and study characteristics as well as the larger institutional regulatory environment

Internal report cluster 1: Urban freight innovations and solutions for sustainable deliveries (2/4)

Technical report about sustainable urban freight solutions, part 2 of

International housing partnership exchange

Housing

Structural performance of precast self-compacting concrete beam consisiting banana skin powder and coir fibre under flexural load

In present, environmental pollution is become serious problem. Agricultural products generate waste in huge amount, which creates the disposal and environmental problems such as leachate and odour smell. An initiative is needed to reduce these wastes and utilize the agricultural waste as a construction material like concrete. The agricultural waste widely used as supplementary cementing material, filler and fibre reinforcement. In this research Banana Skin Powder (BSP) and Coir Fibre (CF) utilized as partially cementing material and filler respectively, to reduce the agricultural waste and save the natural recourses which is used in manufacturing of cement and reduces the emission of carbon dioxide (CO2) in atmosphere. This research investigated the physical and chemical properties of BSP. The fresh properties (filling ability, passing ability and segregation resistance) and hardened properties such as compressive, tensile, flexural strength, modulus of elasticity and Poisson’s ratio of self-compacting concrete (SCC) consisting BSP and CF were studied experimentally. The ultimate load, crack pattern and load deflection profile of Precast Self-Compacting Concrete containing BSP and CF Beam (PSCC-BSP-CF-B) were analysed under flexural load by experimental work. The results were validated by Finite Element Analysis (FEA) using software package Abaqus. The outcomes from XRF test proved that the BSP is the Class F pozzolan which contributes to enhance the strength of SCC. The fresh properties of SCC like filling ability, passing ability and segregation resistance were satisfied the EFNARC SCC specifications. The mechanical properties and ultimate bearing capacity were improved with the BSP and CF incorporation in SCC. The crack pattern predicts the PSCC-B were fail in flexural. The deflection became lower when CF and BSP were added in PSCC-B. The optimum percentage which was found through experimental tests are 0.4%BSP and 0.5% for CF. The crack pattern, ultimate load and deflection in PSCC-B using FEA through ABAQUS have 2% to 8% difference compare to experimental studies

Internal report cluster 1: Urban freight innovations and solutions for sustainable deliveries (3/4)

Technical report about sustainable urban freight solutions, part 3 of

Systems approach to assessing and improving local human research Institutional Review Board performance.

ObjectiveTo quantifying the interdependency within the regulatory environment governing human subject research, including Institutional Review Boards (IRBs), federally mandated Medicare coverage analysis and contract negotiations.MethodsOver 8000 IRB, coverage analysis and contract applications initiated between 2013 and 2016 were analyzed using traditional and machine learning analytics for a quality improvement effort to improve the time required to authorize the start of human research studies.ResultsStaffing ratios, study characteristics such as the number of arms, source of funding and number and type of ancillary reviews significantly influenced the timelines. Using key variables, a predictive algorithm identified outliers for a workflow distinct from the standard process. Improved communication between regulatory units, integration of common functions, and education outreach improved the regulatory approval process.ConclusionsUnderstanding and improving the interdependencies between IRB, coverage analysis and contract negotiation offices requires a systems approach and might benefit from predictive analytics