The Influence of Entrepreneurship Education and Industrial Work Practices on Interest in Entrepreneurship in State Vocational High School Students in the Central Jakarta Region

This study aims to determine the effect of Entrepreneurship Education and Industrial Work Practices on Entrepreneurial Interests of State Vocational High School Students in the Central Jakarta Region. The research sample was 294 school students at 5 State Vocational Schools in Central Jakarta. Data collection was carried out through a survey method using a Google form which was distributed to the respondents. The collected data were then analyzed using multiple regression techniques using the E-views program. The results showed that entrepreneurship education and industrial work practices had a positive and significant effect on the interest in entrepreneurship at State Vocational High Schools in the Central Jakarta Region

Preparation of polyacrylamide grafted onto magnetic cellulose as flocculant in wastewater pre-treatment application

Recently, many efforts has been made to improve the potency of natural polymer-based flocculants in wastewater treatment. Graft copolymerization of magnetic cellulose and polyacrylamide (PAM-g-MagCell) were synthesized through microwave assisted technique with the aid of ceric-ion-induced as catalyst. Through varying the monomer, polysaccharide and mass of catalyst, five grades of PAM-g-MagCell were synthesized. The influences of these factors toward grafting percentage were investigate. The flocculation performance of PAM-g-MagCell was also studied in treating anaerobically-treated palm oil mill effluent (AnPOME). The grafting ratio suggested that the optimum conditions for graft copolymerization were composed of 0.25 g catalyst ceric ammonium nitrate and 4:1 mass ratio of acrylamide monomer to magnetic cellulose. The results found that under such optimum conditions, flocculation performance had improved, whereby, sampled wastewater coloration and suspended solid were significantly reduced by 50% and 65%, respectively

Performance comparison of baseline routing protocols in pocket switched network

Pocket Switched Network (PSN) is a branch of Delay Tolerant Network (DTN) which is intended to work in a challenged network. Challenged network is network with lack of infrastructure such as disaster area. As such, the network has intermittent connectivity. PSN provides a new paradigm to distribute messages in the network by taking advantage of roaming nodes from one place to another. In this paper, network performances of eight PSN routing protocols are investigated namely, First Contact, Direct Delivery, Epidemic, PRotocol using History of Encounter and Transitivity (PRoPHET), Spray and Wait, Binary Spray and Wait, Fuzzy Spray, Adaptive Fuzzy Spray and Wait. The performance metrics are packet delivery ratio, overhead ratio and average latency. Opportunistic Network Environment (ONE) simulator is used to evaluate the network performance. Experiments show that Epidemic has the best performance in term of message delivery ratio, but it has the highest overhead ratio. Direct Delivery has the lowest overhead ratio (zero overhead ratio) and PRoPHET has the lowest latency average

3D scientific data mining in ion trajectories

In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been mistreated in favour of ensemble average. In this study, we demonstrate a visual approach of such relationship using surface-based visualisation schemes. In particular, we demonstrate a scientific datasets of simulated 3D time-varying model and examine the temporal correlation among ion trajectories. We propose a scheme that uses a three dimensional visual representation with colour scale for depicting the timeline events in ion trajectories and this scheme could be divided into two major part such as global and local time scale. With a collection of visual examples from this study, we demonstrate that this scheme may offer an effective tool for visually mining 3D timeline events of the ion trajectories. This work will potentially form a basis of a novel analysis tool for measuring the effectiveness of visual representation to assist physicist in identifying possible temporal association among complex and chaotic atom movements in ion trajectories

Researching together:a collaborative research volunteer scheme and its student-staff partnership evaluation

This case study outlines a university-wide programme that brings together staff and undergraduate students in co-research projects. They argue that successful student-staff partnerships require a structured approach, clear communication about expectations and roles and due care taken with respect to power imbalances. If done successfully, programmes like this increase competence and confidence aiding students now, and in the future

Hyperspectral Imaging for Beef Tenderness Assessment

Tenderness is one of the principal properties of meat quality. The traditional way to measure tenderness the beef is time consuming and also destructive, and therefore not appropriate for rapidly identifying quality parameters on the processing line, with the minimum of human intervention. The objective of the present research was to measure the tenderness of cooked beef samples obtained from four types of muscles (i.e. infraspinatus (TB), gluteus medius (TS), psoas major (TL), and longissimus thorasis (RE)) at three different durations of dry aging (Fresh (0 days), 14 days, and 21 days), using near infrared hyperspectral imaging. Hyperspectral reflectance spectra (900 nm <l < 1700 nm) were acquired for a total of 260 beef steak samples with dry-ages of 0, 14 or 21 days. After imaging, samples were cooked and the Warner-Bratzler shear force (WBSF), a parameter inversely related to meat tenderness, was measured. After reflectance calibration, a region of interest (ROI) was selected from each acquired hyperspectral image and stepwise regression was applied to the ROI to select wavelengths that were strongly related to cooked meat tenderness. Multiple Linear Regression (MLR) calibration models were developed for quantitative evaluation of beef tenderness. The correlation coefficient (R) and the root mean square error (RMSE) were employed to evaluate the calibration model’s predictive ability for each group. The calibration model developed predicted tenderness with R values of 0.89, 0.86, 0.81 and 0.83 for TS, RE, TB, and TL, respectively. The results revealed that the HSI could be used for non-destructive measurement of beef tenderness in beef having undergone three different durations of aging

Guidelines for Process Safety Hazard Assessment Based on Process Information

In any new chemical process development and design, process safety is a critical aspect to be considered besides economic and technical feasibility of the manufacture of the product. A lack of proper hazard assessment during the design phase may later result in accidents with disastrous consequences to workers, the public as well as the environment. Many methods have been introduced to qualitatively and quantitatively assess the safety level of processes. Despite the availability of a large amount of methods, a systematic framework that details guidelines for hazard identification, risk assessment, safety measure design, and safe critical decision-making is still missing. To address this issue, the main objective of this study was to propose a systematic framework that outlines comprehensive guidelines for assessing the safety performance of processes based on information from the piping and instrumentation diagram (P&ID). Apart from proposing the framework, appropriate strategies for minimizing safety hazards and risks are also recommended. In addition, the user is assisted in selecting the most appropriate assessment method according to his or her needs and the scope and constraints of the assessment. A case study is presented to illustrate the application of the proposed framework

Chemically treated chicken bone waste as an efficient adsorbent for removal of acetaminophen

Present of pharmaceutical as the emerging pollutants arise the concerns of environment community regarding the potential impact of acetaminophen (ACT) on ecological and human health. Adsorption process has been proven as an effective treatment being activated carbon as the adsorbent to remove many types of pollutant including low concentration of pollutants. However, on large scale industrial processes, utilisation of activated carbon is limited because of their high production cost. Synthesis of waste materials as a precursor of adsorbent is an attractive approach in sustainable management and economic availability. In this study, the removal of ACT from aqueous solution by chemically treated chicken bone (AC) waste was investigated. The adsorption process was conducted in a batch adsorption and affected by several experimental parameters including contact time, pH, adsorbent dose, initial concentration and temperature. With AC dosage of 0.1 g about 93 % of 1,000 mg/L ACT was removed from the aqueous solution that had pH of 2 and temperature of 25 °C. Kinetic of ACT adsorption was well described by pseudo-second order kinetic model. Meanwhile, effect of initial concentration of acetaminophen adsorption data was fitted well with Freundlich isotherm model with an R2 of 0.9909. Finally, the data obtained from effect of temperature was used to determine the adsorption thermodynamic including the enthalpy, ΔH, Gibbs energy, ΔG and entropy, ΔS. It was found that the ΔG was negative at all temperature while both, ΔH and ΔS was also negative between temperatures of 25 °C to 70 °C indicating the process of ACT adsorption was exothermic reaction and the adsorption reaction is spontaneous at low temperature

A Review of Eviction Protections in Dallas, Texas

The Institute for Urban Policy Research partnered with the Texas Tenants Union to better understand the impact of eviction remediation programs on the plight of tenants in the City of Dallas. In Dallas, roughly three of every five households rent their home; programs aimed at preventing eviction are pertinent to most of Dallas's population (U. S. Census Bureau, 2020). Financial impacts of the Coronavirus pandemic threatened many households in Dallas and the early days of the pandemic saw multiple policy and procedure interventions, including court closures and the CARES Act. Dallas City Council was among the first localities to act, pass an eviction ordinance to protect renters from losing their homes.In this study, we pursue a mixed-methods approach, embracing both qualitative and quantitative research tools. Working with Dallas County, whose Justice of the Peace courts are the courts of original jurisdictions for evictions in Texas, we secured case filing data for January through June of 2019 and 2020. This data was used to perform a series of regression analyses comparing the volume of evictions in Dallas and surrounding cities. Next, we randomly sampled cases filed in one Dallas County Justice of the Peace court, including portions of Dallas and surrounding communities. We conducted a systematic record review of the entire case file for each of the randomly sampled cases. Finally, we engaged a purposive sample of local government and non-profit leaders, as well as affected tenants, in a focus group setting to understand their experiences with eviction in Dallas.While the quantitative results do suggest some impact of these policy responses, the findings are not encouraging. First, the milieu of policies enacted offered no universal protection to any broad segment of renting households. Second, many of those protected by these policies did not know their status, and efforts to educate them were not universally deployed. Finally, even when protected tenants were aware of their protection, their attempts to assert their rights were met by a system often confused on how to respect them