Chemical treatment ideal soaking time of empty fruit bunch (EFB) polymer composite to achieve high mechanical properties

Palm oil empty fruit bunch natural fibre reinforced unsaturated polyester composite have been fabricated in random orientation with 10% constant fibre volume fraction. The experimental study was taken to determine the ideal soaking time of fibre during chemical treatment process with two different chemical agents (NaOH and Silane) to achieve highest value of Ultimate tensile strength, Modulus of elasticity and Energy Absorbed at Break. The specimens were categorized according to time frame for each chemical agent. Tensile test has been carried out to the entire specimen according to ASTM 3039-76 in order to investigate the behavior of the composite under tension. The Testometric machine been used to carried out this testing. The effect of the surface treatment by the chemical agent differs from one soaking time to another. The chemical treatment process purpose is to increase the roughness of the natural fibre for a better impregnation with matrix. The result showed that the ideal time to achieve highest ultimate tensile strength is at 4 days for NaOH and 2 minutes for Silane. The ideal time to achieve highest Young’s modulus value is at 3 day’s for NaOH and 5 minutes. Soaking time 2 day’s for NaOH and 15 minutes for Silane are the ideal time to achieve highest energy at break value

The CCP4 suite : integrative software for macromolecular crystallography

The Collaborative Computational Project No. 4 (CCP4) is a UK-led international collective with a mission to develop, test, distribute and promote software for macromolecular crystallography. The CCP4 suite is a multiplatform collection of programs brought together by familiar execution routines, a set of common libraries and graphical interfaces. The CCP4 suite has experienced several considerable changes since its last reference article, involving new infrastructure, original programs and graphical interfaces. This article, which is intended as a general literature citation for the use of the CCP4 software suite in structure determination, will guide the reader through such transformations, offering a general overview of the new features and outlining future developments. As such, it aims to highlight the individual programs that comprise the suite and to provide the latest references to them for perusal by crystallographers around the world

Evaluating the Impact of Telehealth-Based, Diabetes Medication Training for Community Health Workers on Glycemic Control

Background: Diabetes is a major contributor to morbidity and mortality. Community Health Workers (CHWs) have been instrumental in improving patient outcomes. However, CHW training largely focuses on general diabetes concepts rather than medications. Providing accessible, diabetes medication training for CHWs has the potential to increase patient understanding, personalized care, and adherence, thereby improving outcomes. Objective: To evaluate the impact of a telehealth-based diabetes medication training for CHWs on patient outcomes as measured by HbA1c changes. Methods: We provided a 12-month weekly, telehealth (videoconference) medication training for CHWs who led 6-month diabetes programs for low-income Latino(a)s in community clinics. We measured participant HbA1c (primary outcome), blood pressure, and body mass index (BMI) changes. We evaluated CHW knowledge via two pre/post-tests: medication adverse events/side effects (TEST-1, months 1–6) and dosing, titration, and emergencies (TEST-2, months 7–12). We assessed CHW training application by their ability to identify patient, provider, and healthcare system medication barriers. Results: Participants’ (n = 55) HbA1c improved (9.0% (75 mmol/mol) to 7.8% (62 mmol/mol) (p = 0.001)). Blood pressure and BMI changes were not significant. CHWs improved their knowledge: TEST-1: 10.5-18.2/20.0 (p = 0.002), TEST-2: 10.3–17.3/19.0 (p = 0.0019). CHWs identified 984 patients (n = 610), providers (n = 151), and healthcare systems (n = 223) medication barriers during the 12-month training. Conclusions: Providing a telehealth-based, diabetes medication training program for CHWs allowed a personalized approach to identify barriers to care at several levels, which was associated with significant participant HbA1c reductions and improved CHW knowledge. This is a promising cost-effective, culturally sensitive strategy to improve diabetes care. Larger longitudinal evaluations are needed to fully understand the impact of CHW medication training

Control and Discovery of Reactive System Environments

An important ability of self-adaptive systems is to be able to autonomously understand the environment in which they operate and use this knowledge to control the environment behaviour in such a way that system goals are achieved. How can this be achieved when the environment is unknown? Two phase solutions that require a full discovery of environment behaviour before computing a strategy that can guarantee the goals or report the non-existence of such a strategy (i.e., unrealisability) are impractical as the environment may exhibit adversarial behaviour to avoid full discovery. In this paper we formalise a control and discovery problem for reactive system environments. In our approach a strategy must be produced that will, for every environment, guarantee that unrealisablity will be correctly concluded or system goals will be achieved by controlling the environment behaviour. We present a solution applicable to environments characterisable as labeled transition systems (LTS). We use modal transition systems (MTS) to represent partial knowledge of environment behaviour, and rely on MTS controller synthesis to make exploration decisions. Each decision either contributes more knowledge about the environment's behaviour or contributes to achieving the system goals. We present an implementation restricted to GR(1) goals and show its viability.</div