Miracle-dz/UniFAR-FTUs huggingface dataset:
TRB Annual Meeting Learning-based Model for Evaluating the Impact of Neighbourhood Design on Travel Behaviour

Abstract: Auto-dependency has triggered many public health challenges for North American citizens including increases in physical inactivity rates, road collisions, and Greenhouse Gas (GHG) emissions. As a result, there has been a growing interest in addressing these challenges by promoting more sustainable and livable neighbourhood planning. This research developed an agent-based model that evaluates the impact of neighbourhood design on travel pattern by simulating agents’ daily trip activities. In addition, the results from the Capri-Landmark neighbourhood case study in Kelowna, BC are presented in this paper to demonstrate the developed model via an application to assess the impact of retrofitting the neighbourhood on travel pattern. The developed agent-based model employs a framework that integrates the traditional RUM based modelling technique with reinforcement learning concepts to account for the bounded rationality of human beings and knowledge learning process. Moreover, the model utilizes the diffusions of innovations theory to account for the impact of social interactions by simulating how agents share their knowledge and propagate information about their preferred travel mode across family members and co-workers. In addition, the model accounts for the iterative feedback process between agents’ actions and the environment. The results from the case study show that providing more accessibility to non-motorized users have more impact on modal share than restricting car use. In addition, increasing activity density would cause the most significant increase in transit modal share while combing increasing activity density with retrofitting the transportation network would achieve the most significant increase in non-motorized modal share.
ECONOMIC MANAGEMENT, THE ACCORD AND GENDER INEQUALITY*

Economic policy under the Labor government has concenuared on promoting the economic recovery of the business sector and thereby generating more employment. The Govemmem has been concerned to present this policy as being infonned by a concern for equity. Yet under Labor there has been a deterioration in lhe standard of living in real terms for the majority of Australians. Most significantly the economic position of women workers relative to their male counterparts deteriorated between 1984 and 1987. This is something of a pruadox given the equal employment opponunity programmes developed and the affinnative action legislation passed by the Federal Laror Government. This study presents an analysis orthe various processes which have combined to undennine women's standing in the Australian economy. It views these processes as being shaped by the drive by capilal and the stale lO promote capital accwnulation. It is also informed by a feminist analysis which concentrates on the gender bias of recent economic policy and the failings of equal employment opportwlity and affirmative action legislation .
Harmonics and Noise in Photovoltaic ( PV ) Inverter and the Mitigation Strategies

Dear Mr. Hingtgen, My name is Samuel Milham. I'm a physician-epidemiologist and have been studying the health effects of electromagnetic fields for over 30 years. I have written a book about it called "Dirty Electricity", and have a website: www.sammilham. com. I have measured many residences with roof-top solar, and find that they all generate dirty electricity. I recently began study of a 23 megawatt solar facility near Niland CA. The inverters, switchgear room and substation were all loaded with high frequency transients. The attached oscilloscope tracings show a contaminated 60 Hz sine wave in the A block and that data block B ,which has voltage passed though a high pass filter to remove the 60 Hz, has 45 V of electricity. I went through hundreds of other scope tracings I have made over the years, and found none that were above 2 V in the B block. The harmonic distortion is low, so all this electricity must be transients. I enlarged that blue curve and found that the transients' primary frequency is 20 KHz.
Soft Wearable Knee Brace with Embedded Sensors for Knee Motion Monitoring

E-textiles have shown great potential for development of soft sensors in applications such as rehabilitation and soft robotics. However, existing approaches require the textile sensors to be attached externally onto a substrate or the garment surface. This paper seeks to address the issue by embedding the sensor directly into the wearable using a computer numerical control (CNC) knitting machine. First, we proposed a design of the wearable knee brace. Next, we demonstrated the capability to knit a sensor with the stretchable surrounding fabric. Subsequently, we characterized the sensor and developed a model for the sensor’s electromechanical property. Lastly, the fully knitted knee brace with embedded sensor is tested, by performing three different activities: a simple Flexion-extension exercise, walking, and jogging activity with a single test subject. Results show that the knitted knee brace sensor can track the subject’s knee motion well, with a Spearman’s coefficient (rs) value of 0.87 when compared to the reference standard.
Beyond graphene oxides: Emerging 2D molecular sieve membranes for efficient separation

Article history: Received 3 July 2018 Received in revised form 25 July 2018 Accepted 28 August 2018 Available online 6 September 2018 Recent decades witnessed the significant progress made in the research field of 2Dmolecular sieve membranes. In comparison with their 3D counterparts, 2Dmolecular sieve membranes possessed several unique advantages like significantly reduced membrane thickness (one atom thick in theory) and diversified molecular sieving mechanisms (in-plane pores within nanosheets & interlayer galleries between nanosheets). M. Tsapatsis first carried out pioneering work on fabrication of lamellar ZSM-5 membrane. Since then, diverse 2D materials typically including graphene oxides (GOs) have been fabricated into membranes showing promising prospects in energy-efficient gas separation, pervaporation, desalination and nanofiltration. In addition to GOs, other emerging 2Dmaterials, including 2D zeolites, 2Dmetal–organic frameworks (MOFs), 2D covalent-organic frameworks (COFs), layered double hydroxides (LDHs), transition metal dichalcogenides (TMDCs), MXenes (typically Ti3C2TX), graphitic carbon nitrides (typically g-C3N4), hexagonal boron nitride (h-BN) and montmorillonites (MT) are showing intriguing performance in membrane-based separation process. This article summarized the most recent developments in the field of 2D molecular sieve membranes aside from GOs with particular emphasis on their structure–performance relationship and application prospects in industrial separation. © 2018 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights reserved.
Agricultural waste management generated by agro-based industries using biotechnology tools

The amount of agricultural waste generated by agro-based industries such as palm oil, rubber, and wood processing plants have more than tripled. Selangor, Perak, and Johor account for 65.7 percent of the total number of recognised pollution sources in the manufacturing and agro-based sectors. Livestock dung is another major cause of pollution, contributing significantly to increase pollution levels in the environment. Large portion of agro-industrial waste is untreated and unused, it is frequently disposed of by replicating or dumping then again off the cuff landfilling. These untreated wastes wreak havoc on natural change by releasing ozone-depleting chemicals. Aside from that, the usage of fossil fuels is also leading to an increase in ozone-depleting compounds. Agro-waste is a huge environmental hazard in the current epidemic situation. The management of agro-waste and the conversion of agro-waste into a usable product through the application of biotechnological technologies in agriculture are receiving a lot of attention in today''s world. Solid state fermentation is the finest approach for converting agro-waste into valuable bio products among biotechnological instruments. Various agro-wastes such as wheat straw, barley straw, cotton stalks, sunflower stacks, and oil cakes from various agriculture goods, as well as major horticulture wastes such as apple, mango, orange peels, and potato peels, were used to create beneficial products in this review. All aspects of the production of industrial products from various agro-waste by using microorganisms such as Amycolatopsis Mediterranean, Xanthomonas campestries, and Aspergillus niger producing biopolymers such as polysaccharides, similar to starch, cellulose, agar, hemi-celluloses, gelatin, alginate, and carrageenan are covered in the current revels. Yeasts and cyanobacteria are commonly employed to make bio-lipids, whereas Bacillus species are utilised to make proteins and bio-enzymes. Cucumber and orange strips, on the other hand, have recently been employed to create proteins and bio-enzymes. As a result, this review covers the many forms of agro-wastes and their by-products as well as biotechnological technologies used to treat them.
Sharing Blood: A decentralised trust and sharing ecosystem based on the Vampire Bat

Vampire bats manage to live longer by trusting their fellow roost mates and getting donated to in return. We have modelled this interaction by creating a biological plausible decentralised trust and sharing system. In a simulated 3D environment the performance has been tested by groups of artiﬁcial bats showing a signiﬁcant increase in life span as a result of the bat trust ecosystem. To further test the system, groups of cheaters were added to inﬂuence the population of trusters. Even though cheaters have a negative inﬂuence on the population of trusters we have found that this is (for the most part) not the result of their cheating behaviour. In other words, trust pays and is robust.
Optimal synthesis of 2D phononic crystals for broadband frequency isolation

The spatial distribution of material phases within a periodic composite can be engineered to produce band gaps in its frequency spectrum. Applications for such composite materials include vibration and sound isolation. Previous research focused on utilizing topology optimization techniques to design two-dimensional (2D) periodic materials with a maximized band gap around a particular frequency or between two particular dispersion branches. While sizable band gaps can be realized, the possibility remains that the frequency bandwidth of the load that is to be isolated might exceed the size of the band gap. In this paper, genetic algorithms are used to design squared bi-material unit cells with a maximized sum of band-gap widths, with or without normalization relative to the central frequency of each band gap, over a prescribed total frequency range of interest. The optimized unit cells therefore exhibit broadband frequency isolation characteristics. The effects of the ratios of contrasting material properties are also studied. The designed cells are subsequently used, with varying levels of material damping, to form a finite vibration isolation structure, which is subjected to broadband loading conditions. Excellent isolation properties of the synthesized material are demonstrated for this structure.
Exploring causalities between modal habits, activity scheduling, and multi-day locational practices.

Despite raising awareness of sustainable behavior and considerable investments in the public transport network and active mobility infrastructure, car use remains the main practice for daily mobility in Switzerland. This work postulates that resistances to change at the individual level annihilate top-down modal shift measures. These resistances are assumed to be rooted in various forms of familiar practices, routines and habits and thereby require multi-day analysis of mobility patterns, going beyond what most mobility census data allows. This research proposes a set of metrics ( complexity , home shift , regularity and proximity) to better characterize five modal habit profiles and day-to-day regularities in activity-travel behaviors. On the one hand, locational variability addresses the spatial familiarity of individuals’ activity space. Measures of recurrent and frequent activity spaces are obtained by mean of centrography and longitudinal spatial analysis. On the other hand, temporal variability addresses the structure of schedules and time-allocation. Results are based on a fine-grained longitudinal travel-diary collected in Switzerland in 2019. The main objective of this paper is to highlight the relations between modal habits and multi-day activity-travel arrangements to better address resistances to change.
Strategic Control Information in Airline Route Decision

The purpose of this study is to analyze how airline companies use their management control systems in order to gain a sustainable competitive advantage in a situation of environmental change resulting from economic deregulation. Therefore, a model of strategic control information will be developed. The research is a case study on Finnair, the Finnish national carrier. The study describes how the company prepared for deregulation by adapting its strategies, organization structure and management control systems. The strategic control information in a route decision was investigated. Producing planning and control information for strategic decision making was mainly based on traditional methods, and the control systems did not generate a great deal of information in accordance with the theoretical model of strategic control information. Nevertheless, strategic viewpoints were taken into account in management decision making, in spite of the shortcomings of the control system. Moreover, the company has gradually begun to adjust its competitive strategy and organizational structure to the deregulated environment. The paper argues that a strategic cost management framework will give companies new cost management tools.
The Monetary Policy Transmission Mechanism in Malaysia: Evolution Over the Past Two Decades

This paper investigates the evolution of the monetary policy transmission mechanism (MTM) in Malaysia over the past two decades. Our paper aims to answer two questions, motivated by the changing dynamics of the MTM. First, has the pass-through of monetary policy to the target variables in Malaysia strengthened or weakened? Our empirical results indicate that the pass-through to output and inflation has weakened and strengthened, respectively. In terms of individual channels, we find that the asset price channel has gained in significance, while the interest rate channel and exchange rate channel have weakened over time. Second, what are the factors that have driven these changes? Our analysis focuses on the three factors that influence the MTM, namely, the monetary policy framework, the structure of the financial system and the structure of the economy. Our findings suggest that while the evolution of the monetary policy framework has strengthened the MTM, some gains have been offset by the developments in the structure of the financial system and the structure of the economy.
An on-line loss minimization controller for interior permanent magnet motor drives

An adaptive loss minimization controller (ALMC) is proposed for interior permanent magnet (IPM) motor drives for the first time. The loss minimization process is very fast and the drive performance is very smooth under the ALMC scheme which is implemented by using a TMS320C31 DSP. Excellent experimental results validate the ability of the proposed ALMC to minimize the total drive losses precisely.
Indian-Pacific Journal of Accounting and Finance (IPJAF)

This paper concentrates on the relationship between orthodox (corporate) finance and dividend policy. More specifically, the paper examines the relationship between different dividend policy theories and dividend policy. This paper also investigates the association between different corporate finance elements and dividend policy. The primary purpose of this paper is to put some light on the dividend literature, which means how dividend literature developed over the year. However still, the dividend policy is a puzzle for researchers. From the previous literature survey, we can see that after so much constrictive research, researchers still did not reach any conclusion. This paper provides details about previous literature reviews in the area of
Research on the traceability system of tea quality and safety based on blockchain

: In order to improve the accuracy of the deep model for weed classification in tea gardens, and reduce the redundant parameter of this model. This paper uses 10 kinds of weed photographs taken in the garden to investigate the classification of weeds using different deep learning models (ResNet50, VGGNet, AlexNet), and on this basis, further applies pruning algorithms to compress the deep model ResNet50. Through experimentation, the average accuracy of these three models on the test set is 0.86, 0.72, 0.63; also, by comparing the effects of ResNet50 model before and after compression, the results were almost the same on the training set and the test set. Those shows the ResNet50 model is the optimal classification model among these three models
Experimental Determination of Formation Damage Pore Blocking Mechanisms

Modelisation de l'endommagement de la permeabilite de roches poreuses, du aux mouvements de particules solides et a leurs blocages dans les pores de la roche. Le modele est base sur les principes de la filtration en lit profond et de la cinetique des reactions chimiques. La validite est determinee a partir de deux etudes en laboratoire. Dans la premiere, le fluide de completion contenant de la boue de forage est pompee a travers une roche synthetique; dans la seconde des saumures ne contenant pas de particules solides sont pompees a travers des gres non consolides provenant des champs de gaz de la mer Adriatique
Performance Analysis of HTTP based Dynamic Adaptive Streaming (DASH) over Google’s QUIC

This project investigates whether “Dynamic Adaptive Streaming over HTTP” (DASH) performs better over “Quick UDP Internet Connections”(QUIC) protocol when compared with the existing TCP protocol. The investigation of DASH over QUIC is done with the help of YouTube since it can employ both DASH and QUIC simultaneously. DASH has become quite popular in the last few years for adaptive video streaming over networks which are time-varying and where video quality is tuned based on the available link bandwidth. QUIC is a secure transport protocol developed by Google and representing one of the most promising solutions to decreasing latency while intending to provide security properties similar with TLS. In this project we have collected YouTube HTTP request/response messages while playing videos from YouTube under controlled link environment with QUIC protocol enabled as well as with QUIC protocol disabled so that TCP protocol is used for the same video. We have collected data over a set of 175 videos under controlled (link bandwidth is adjusted manually and monitored) environments and from this data set we observe that QUIC has a greater tendency than TCP to switch over to higher resolutions but at the cost of more data wastage. We ﬁnd that DASH performs better over QUIC than TCP in terms of video quality since QUIC is able to render a better or same quality video as of TCP at any instance of time under realistic bandwidth limited setting.
Aligning Unsynchronized Part Recordings to a Full Mix Using Iterative Subtractive Alignment

This paper explores an application that would enable a group of musicians in quarantine to produce a performance of a chamber work by recording each part in isolation in a completely unsynchronized manner, and then generating a synchronized performance by aligning, time scale modifying, and mixing the individual part recordings. We focus on the main technical challenge of aligning the individual part recordings against a reference “full mix” recording containing a performance of the work. We propose an iterative subtractive alignment approach, in which each part recording is aligned against the full mix recording and then subtracted from it. We also explore different feature representations and cost metrics to handle the asymmetrical nature of the part–full mix comparison. We evaluate our proposed approach on two different datasets: one that is a modiﬁcation of the URMP dataset that presents an idealized setting, and another that contains a small set of piano trio data collected from musicians during the pandemic speciﬁcally for this study. Compared to a standard pairwise alignment approach, we ﬁnd that the proposed approach has strong performance on the URMP dataset and mixed success on the more realistic piano trio data.
On the Torsional fatigue of NiTiCu SMA bars. Experimental results and modeling approach

The use of Shape Memory Alloys (SMA) as an actuator constitutes a major challenge in terms of their application in innovative products. The present work deals with the torsional characteristics and the modeling of NiTiCu SMA bars to ensure their mechanical performance as torsional actuator. The SMA bars was tested under quasi-static torsional loading and torsional fatigue conditions and their behavior was described using a torsional model based on the modification of Liang-Rogers constitutive relation. Further to torsional mechanical tests, a comprehensive experimental investigation on the torsional fatigue behavior of SMA bars, under the application of given external loading moment, with the temperature to vary from 25 o C (well below Mf) to 100 o C (over As) is provided.
Can the Clinical Test of Sensory Integration and Balance Predict Performance in Perturbed Walking

Human balance control is a critical prerequisite to nearly all activities, and human falls are a major health concern. The most robust way to assess reactive balance is to apply external perturbations. Perturbations are typically delivered with destabilizing motorized surfaces, external forces, visual motion, or neural stimulation. However, most devices that perturb walking in research settings are not likely to see wide clinical use due to cost, space, and time constraints. In contrast, there are low-cost destabilizing clinical tests that might require similar neural control mechanisms as walking. The present study examines and compares frontal plane balance responses with a research-based surface perturbation walking device to balance responses in a clinical standing balance assessment. We found that correlations between these walking and standing tests varied widely depending on the conditions compared. Correlations between standing and walking balance were highest when 1) a perturbation was present in walking tests, 2) subjects walked slowly, and 3) the standing tests were on foam as opposed to firm surface.Clinical Relevance— This study helps to clarify the relationship between standing and walking balance. We use the clinical test of sensory integration in standing balance and a perturbation treadmill device to measure walking balance.
Long Term Failure Probability Calculation Method Applied to Riser Design

A time efficient methodology is described to evaluate the non linear extreme response of a riser connected to a FPSO subjected to wave induced loads in a stationary sea state. It is extended to cover all sea states and thus to assess the long term failure probability of the riser. The short term procedure is based on a classic time variant reliability method. It uses an approximation of the mean outcrossing rate, which is computed with the time invariant reliability method FORM (First Order Reliability Method). © 2008 ASME