Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Perceived Importance of Targeted Transportation Services for Low-Income Riders

It is generally agreed that transit services in disadvantaged neighborhoods can have potentially positive effects on the accessibility of socially excluded or economically marginalized families. The impact of transit services has been quantified by using objective measures, such as travel time, travel cost, and changes in earnings or destinations reached. Although the body of literature on this topic is exhaustive, researchers have acknowledged the importance of more subjective measures associated with trip decision making of individuals. An index of perceived service importance (PSI) was used to study the impact of the subjective dimension of trip making. Riders of transit services were surveyed, and a conceptual model of activity changes that may be enabled by the services of the Job Access Reverse Commute program was designed to facilitate the modeling process. An ordered probit model was developed to explore the relationship between PSI and sociodemographics, service type and characteristics, employment attributes, and travel-related factors. Three models were estimated, and the differences among the models stemmed from the particular subsample used and the effects considered. The results of all three models highlight the importance of the service to frequent users. Time saved, trip length, type of service used, and type of area are somewhat important in explaining PSI, but not in all models. Results indicate that the PSI is indicative of extreme transit dependency, calling for use of these types of measures in addition to hard measures, in evaluating low-income transit services.
Promoting global education in science and engineering: An experience in Indonesian high schools

Japan has initiated higher education reform in which internationalization is one of the challenges as a way to improve excellence in research and competitiveness within Asia and the world. In becoming the “Asian Gateway” to the rest of the world, Japan also invites students from Asian countries to pursue higher education in Japan. However, language problem is often considered as one of the barriers faced by international students – not only from Asian countries – in Japan, especially for undergraduate program since the program is mostly held in Japanese language. The Global Scientists and Engineers Program (GSEP) is the international bachelor of engineering degree program in Tokyo Institute of Technology (Tokyo Tech). It does not require any Japanese language ability since the whole program would be taught in English. This paper presents the experience of promotional activities of the program in Indonesia in order to identify the challenges, to document the method, and to outline some recommendations for improvement. The promotion was held by presentation in front of 13 (thirteen) high schools in Jakarta and nearby. After the promotional presentation, participants were also requested to express their interest in applying the program as well as their perceived usefulness of the presentation.
Effect of heterogeneous oxidative aging on light absorption by biomass burning organic aerosol

Abstract Light-absorbing organic aerosol (brown carbon, BrC) impacts the radiative balance of the earth’s atmosphere; however, the magnitude of this impact is poorly constrained due to uncertainties in BrC sources, composition, and lifetime. In particular, the role of chemical “aging” on the optical properties of BrC particles is poorly understood. Here we carry out laboratory studies aimed at understanding how one such aging process, heterogeneous oxidation, may affect the chemical and optical properties of biomass burning-derived BrC. We generate BrC from smoldering ponderosa pine needles, oxidize the BrC in a flow reactor, and use simultaneous measurements of aerosol optical properties and chemical composition to monitor changes upon oxidation. Under the set of conditions investigated here, we find that with increased oxidant exposure, the aerosol becomes more oxidized and less absorbing, presumably due to oxidative degradation of the chromophores. Both the kinetics and evolution of this process are oxidant dependent. While heterogeneous oxidation by ozone results in a rapid “bleaching” of the BrC (i.e., decrease in absorptivity), a substantial fraction of the BrC is resistant to bleaching by this mechanism. In contrast, bleaching due to heterogeneous oxidation by OH in the presence of ozone remains active over long timescales (timescale of days), suggesting a sustained evolution of BrC optical properties throughout the aerosol atmospheric lifetime. Copyright © 2019 American Association for Aerosol Research Video Abstract Read the transcript Watch the video on Vimeo
Analysis and design of packaged and ESD protected BiCMOS RF front‐end for a UHF receiver

The design of packaged and ESD protected RF front‐end circuits for UHF receiver working at ISM band is presented. By extensively evaluating the effects of the package and ESD parasitics on the LNA input impedance, transconductance, and noise figure, some useful guidelines on the design of inductively degenerated common emitter LNA with package and ESD protection are provided. In addition, by taking advantage of both the bipolar and MOSFET devices, a BiFET mixer with low noise and high linearity is also described in this article. With the careful consideration of the tradeoffs among noise figure, linearity, power gain, and power consumption, the front‐end is implemented in a generic low‐cost 0.8‐μm BiCMOS technology. The on‐board measurement of the packaged RF front‐end circuits demonstrates a 20.3‐dB power gain, 2.6‐dB DSB noise figure, and −9.5‐dBm input referred third intercept point while consuming about 3.9‐mA current. © 2007 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2007.
Forecasting lead times of production orders in sme's

The paper presents a procedure for forecasting the lead times of production orders on the basis of past actual lead time data. A customer for a particular production order will select the best bidder. It is rather risky to make a bid just on the basis of sales experience. A procedure is therefore proposed by which, on the basis of the actual lead times of operational and assembly orders processed in the company's workplaces in the past, the expected lead time of a planned production order can be forecasted. The result of the proposed procedure for forecasting lead times is an empirical distribution of possible lead times for a production order. On the basis of this distribution, it is possible to forecast the probable lead time of a production order, taking into account a confidence interval. Using the proposed procedure, the sales department can make a delivery time forecast for the customer of the planned production order. As an illustration of using the procedure for forecasting lead times of production orders, a case study is presented: lead time of production order for the "tool for manufacturing the filter casing" was forecasted; the tool is manufactured by a Slovenian company.
Limits of strong phase-shift patterning for device research

Advanced transistor research requires the patterning of isolated gate feature sizes well below available illumination wavelengths. In this work, we explore the limits of imaging isolated line features using double exposure strong phase shift methods and 248 nm illumination. Fundamental issues such as aerial image size,flare, simple OPC and resist aspect ratio will be addressed. Non-lithographic feature slimming methods such as UV-bake, etch biasing and oxidation will we explored as well. It is desirable that feature slimming processing also reduce line-edge roughness. Using a combination of strong PSM imaging and feature slimming, we have developed processes for the fabrication of sub-25 nm gate features required by our Schottky Barrier transistor device development efforts.
A Framework for Detecting Weighted Communities in the International Trade Network

Community discovery is a crucial task in social network analysis, especially in describing the evolution of social networks. Although some works have focused on finding the dynamic community, there are still some open problems need to be conquered, such as analyzing the dynamic and weighted community. In this paper, we propose a framework for analyzing weighted communities and their evolutions via clustering correlated weight vectors to enhance existing community detection algorithms. The International trade network is used to verify our framework. Experiments show that the framework discovers and captures the evolving behaviors with temporal elements and weight values.
ALIUS: Active Learning in University Science: Leading Change in Australian Science Teaching

The ALIUS project is about leading change in the teaching of chemistry in large university classes. ALIUS is a collaboration of six Australian universities funded by an ALTC Leadership for Excellence in Learning and Teaching Grant (LE8-818). The aims of this project lie in three domains: • Development of project members as Science Learning Leaders • Development of the skills of project members in practice-based learning and teaching innovation • Creation of a virtual Learning Hub Methods being used to achieve these aims are: • Leadership- professional development in leadership specifically targeted at fostering change in academic teaching practice • Learning and Teaching Innovation - the U.S. NSF funded POGIL project will be used as a model for teaching innovation. Experienced POGIL instructors and facilitators brought from the U.S. run workshops and consultancies with ALIUS project members to build member skills in teaching innovation. • The learning hub (http://www.alius.edu.au/) will serve as a resource to share experiences in building teaching innovation, developed materials, resources about innovative teaching methods This presentation will report results and experiences of the project, including: • Experiences in implementing new teaching practices • Experiences in motivating changes in teaching practice of colleagues • Answers to uniquely Australian problems in implementation of POGIL style activities • Report on impact nationwide • Plans for next project
The calculation of cyclic rating factors for cables laid direct or in ducts

A simple method is presented for the rapid calculation of cyclic rating factors for cables laid direct in the ground and cables in ducts. The method may be applied without difficulty even in the case of complicated load curves, but for single-peaked load curves the calculation is especially simple. Tables of relevant functions are included as are additional tables of parameters for cables conforming to B.S. 480: 1954. Examples are given illustrating the ease and speed of the proposed method, together with the variation of cyclic rating factors with soil thermal constants.
Systematic Analysis and Modeling of On-Chip Spiral Inductors for Complementary Metal Oxide Semiconductor Radio Frequency Integrated Circuits Applications

In this work, a simplified model for on-chip spiral inductors was developed to accurately predict key parameters in the giga hertz range, i.e., peak quality factor Qpeak, frequency at peak quality factor fpeak, and self-resonance frequency fSR. To save area on the test-key layout, inductors were laid out with a ground-signal-ground-signal-ground (GSGSG) pad structure. In addition, we used two conventional ground-signal-ground (GSG) probes to measure the inductors with the GSGSG pad structures to save the cost of GSGSG probes. Very good fits between the predicted and the measured data indicate the suitability of the model and the new pad structure.
A Self-Assessment Tool to Help Learners Develop Teamwork Skills

Abstract: Teamwork skills and the ability to effectively collaborate with peers continue to be hailed as essential skills by employers and higher education funding authorities, and many employers require new graduates to demonstrate these skills as part of the selection criteria. How then can we prepare graduates for this employment market that actively assesses teamwork and other generic skills such as communication, problem solving and leadership skills? This paper outlines the self-assessment component of an on-line learning tool designed to help students develop understandings of themselves and their skill levels. These results are used to help select team roles and provide a basis for planning, monitoring and evaluating their performance within the team. Introduction The ability to assess one’s own skills through self-reflection is a valuable ability for students to learn. If the student is aware of where they need to improve in their learning, they are can focus more on areas of need. By the same token, if they are aware of areas where they have a natural strength or ability, they can use this knowledge to make important decisions about how they might best use their skills. Often, after students graduate, they are required to work in various roles as part of a team. It they are unclear about their strengths and weaknesses, it can be difficult for them to decide on what role to take. For example, in a multimedia project environment team members from varied backgrounds must work together effectively in order to produce a successful product. Each member must successfully complete their job specific tasks and as well as successfully using appropriate generic skills such as collaboration, team and time management and leadership skills. Some generic skills might be considered important in almost every job situation. These vary in importance depending on the job, however many jobs will have some element of these. Almost all employers want graduates to have teamwork skills, and graduating students should know what their skills are, how they can be best used and in what areas need improvement. Students do not always possess a naturally ability for self-reflection, and whenever possible should be nurtured during their course of study. JAMTART (Joe and Mark’s Tracking and Reflection Tool) is an online tool that has been developed specifically to help students develop reflective skills. The tool helps them decide what team role they should take, as well as helping assess generic skills needed in the workforce. This paper describes the self-assessment component of JAMTART, and proposes an approach to assist learners in selecting team roles.
Low-Latency Convolutional Recurrent Neural Network for Keyword Spotting

A Low-latency Convolutional Recurrent Neural Network (L-CRNN) is proposed to reduce the complexity of a Keyword Spotting (KWS) system with high accuracy. The L-CRNN reduces a number of parameters between RNN layer and Full-Connected (FC) layer, which saves at least 1/2 memory for on-hands device compared with Convolutional Recurrent Neural Network (CRNN) depending on the number of FC units. Furthermore, it learns valid deep audio features to classify the keywords and garbage words with high accuracy. Results of experiments on the Google's Speech Commands Datasets show that the L-CRNN achieves 96.17% accuracy with less than 1/4 number of parameters and fewer float operations compared with Convolutional Neural Network (CNN) and CRNN.
Optimization of Zinc Oxide Thin Films for Silicon Surface Acoustic Wave Resonator Applications

High quality ZnO thin films are required to produce CMOS SAW resonators operating with low losses and high Q. This work intends to develop high performance CMOS SAW resonators through optimization of both the quality of the ZnO and the design of the SAW resonator. Zinc oxide was chosen for this work as the piezoelectric material due to its superior acoustic propagation properties and compatibility with integrated circuit fabrication techniques. ZnO has demonstrated good performance characteristics for a variety of piezoelectric devices. For optimization of the quality of the deposited ZnO thin film, different RF-sputtering conditions will be used to investigate which condition produces the best piezoelectric quality of the ZnO thin film. The experiments were carried using Taguchi optimization method, which studies a large number of variables with a small number of experiments.
Two Efficient Meta-Heuristic Algorithms for the Robust Inventory Routing Problem with Backhaul

: The inventory routing problem (IRP) involves the integration and coordination of two components of the logistics value chain: inventory management and vehicle routing. Therefore, consideration of this issue can be effective in decision making of the organi zation and will lead to lower costs or other goals. Our objective in this article is to examine a new inventory-routing model and solve it with meta-heuristic methods. For more flexibility of the model, and approaching the real world, the model of this article is considered multi-period and multi- product. Also, two objective functions, including minimizing system costs and transportation risk, are included in this model . Given that the main parameter of the model, that is, demand, is uncertain, we have used a robust optimization approach to solve it, and since this model is in the classification of NP-Hard problems, we have used two meta-heuristic algorithms consisting of non-dominated sorting genetic algorithm (NSGA-II) and a multi- objective imperialist com petitive algorithm (MOICA) . By examining the model in two deterministic and robust conditions, according to two criteria, the mean values of the object ive function and its standard deviation, it has been determined that in almost all cases, the robust optimization model produces better solutions. Also, between the two meta-heuristics method, the NSGA-II algorithm has shown better quality according to the mentioned criteria. Obviously, taking into account the different features of a model increases its efficiency. But this, obviously, makes the model even more complex. However, this complexity of models can work like a real system. Our attention in this article has been to this subject. To analyze such models, exact methods do not have the required performance and paying attention to heuristic and meta-heuristic methods is very effective. In this paper, a robust optimization and meta-heurictic approaches focus on these goals.
Growth of strength of Bragg gratings written in H/sub 2/ loaded telecommunication fibre during CW UV post-exposure

Bragg gratings have been written in an H/sub 2/ loaded telecommunication fibre using a CW UV fringe pattern. CW UV fringeless exposure at the grating place gave rise to an amplification of the refractive index modulation amplitude. This post-writing exposure has to be taken into account when fabricating grating based components.
Simulation Study of a Novel Current-Limiting Device: A Vertical α-SiC JFET - Controlled Current Limiter

Keyword : Current limiter, JFET, serial protection device, high voltage. Abstract : Considering fault current limiters for serial protection, a lot of structures exist, from regulation to other complex systems such as circuit breakers, mechanical switches or more conventional system : fuses. Up to now, only few semiconductor current limiter structures were described in papers [1]. Although Current Regulative Diode components exist [2, 3], the voltage and current capabilities (V BR =100 V, I max =10 mA), do not allow to use them in power systems. A comparison of a silicon Current Regulative Diode (CRD) and an equivalent SiC one demonstrates the thermal and electrical limitations of silicon. This paper deals with a novel bi-directional current limiter structure based on a vertical α-SiC VJFET, with both buried gate and source. This device was designed for short circuit protections. Simulations were performed with ISE-TCAD [4] to evaluate static and transient electrical characteristics of the VJFET, according to several specifications : voltage capability, current rating, time during which the device can sustain a short circuit. Simulations allow geometrical design and doping profile estimation as well as the technological process to realize such a component. Both 6H and 4H-SiC Controlled Current Limiter (CCL) have been realized. Electrical characterizations of fabricated devices underline the limiting effect and the command ability.
Social metrics in the process industry: background, theory and development work

Sustainable development as the leading global development paradigm and sustainability as a cornerstone of modern industrial development have guided this development work on social metrics in the process industry. This study addresses the development of social metrics in the process industry and for metal production, in particular, at the plant level. The developed social indicators are one part of the overall sustainability index that aims to present a balanced and holistic view of plant-level sustainability performance, encompassing information on all different dimensions. This development work was preceded by the benchmarking and review of existing global reporting frameworks, initiatives and the literature. Current indicators of industrial sustainability mainly satisfy the needs of corporate-level management and capital investors. Therefore, plant-level indicators are critically needed to support and fill potential gaps in corporate-level assessments and management with a special emphasis on plant-level sustainability. The purpose of our development work for social indicators was to operationalise the concept of sustainability and associated performance measurement at the plant level. The development of social indicators was carried out through workshops with industry partners. As a joint effort, eight core social indicators and their associated sub-indicators were developed. We also report the results of our benchmarking and review of existing frameworks, initiatives and the literature. The social part of the overall sustainability index provides the information on both in-plant sustainability performance and the direct and indirect impacts of plant-level operations on the surrounding society including various stakeholders, interest groups and citizens.
Standards Landscape in Cell Counting: Implications for Cell & Gene Therapy

Recent advances in the fields of cell and gene therapy and regenerative medicine have increased the need for a standardized approach to cell counting. International efforts in the development of documentary standards as well as workshops which include input from device manufacturers, regulators, researchers and manufacturing organizations have sought to increase confidence in cell count measurements. Improving comparability between methods, enabling fit-for-purpose method selection, and facilitating the translation of cell counting measurements between stages of product development are critical for the success of cell and gene therapy products. Here, we describe recent efforts in the area of standards development for cell counting and outline a technical approach for the comparison and selection of cell counting methods in the absence of reference materials. These standards and approaches offer strategies for the development and implementation of counting methods that are fit-for-purpose to address the broad needs of cell and gene therapy and regenerative medicine.