Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical comparison of metrology techniques for MEMS

MEMS Technology has become more ubiquitous in recent years but still metrology for MEMS materials has lagged in terms of standardization and common industry usage. MEMS metrology encompasses a very wide range of test methods for various kinds of functional and manufacturing characteristics of these devices but in this article we only refer to test techniques for extraction of mechanical properties essential to the product development process and process monitoring. These include methods such as test structures and other methods for measuring elastic modulus, Poisson's ratio, residual stress and stress gradients, and CTE, etc. as well as properties important to device reliability such as creep, fatigue and wear. Metrology for MEMS materials has always included attempts by researchers and engineers to miniaturize existing macro level test methods like the uniaxial tensile test, hardness test, bulge test etc. but historically another approach has always existed in parallel. Novel on-wafer or on-chip test structures are continuously being developed in an attempt to achieve stream-lined in-line tests that don't require the "destructive" nature of the former group of test methods. The vision is that in-line methods would eventually be standardized to the point where they, in the mask layout phase, could be "dropped onto" wafer as in-line process control monitors (PCMs). Today, we're still far away from realizing this ideal situation in the sense that the ASTM standards list does not include a single unique test structure for material property extraction. The focus of this current article is to critically compare the various techniques that have been developed so far and contrast their viability and potential as candidates for standardization either in-line or off-line.
Cognitive Deficiency in Cannabis Consumers

While being the most abused psychoactive substance (PS), cannabis is also the least researched PS (especially) in Indonesia. Since 24% of total PS abusers within the last year is students, we could only form an a priori on what cannabis consumption might lead to for the cognitive functions of the students. A study to explore what would happen to cognitive functions due to cannabis consumption is important. This article aims (1) to explore the effects induced by cannabis to human cognitive functions and (2) to explore which part of the brain correlated with cognitive functions affected by cannabis consumption. We conduct a literature review to answer the questions. This article shows that there is no clear conclusion whether cannabis induced positive or negative effects to human cognitive functions. It is due to various sampling technique used by the studies cited within this article. Several rationalizations stated to support our finding.
FLIGHT CONTROL SYSTEMS USING PASSIVITY-BASED CONTROL: DISTURBANCE REJECTION AND ROBUSTNESS ANALYSIS

In this paper, we present the disturbance rejection and robustness analysis of our proposed passivity-based control for flight control-systems. The passivity-based control technique is based on the aircraft energy state. The aircraft is considered as a class of Lagrangian systems and the dynamics are presented using the Euler-lagrange equation of motion . This allows for the modification of the system’s energy to achieve both tracking and stabiliaation. The technique allows for automatic generation of Lyapunov-like functions for proving closed-loop stability. Our proposed technique is an extension of the Total Energy Control Systems, that was introduced by Boeing Company in 1983. Our technique is illustrated on longitudinal control of a twin-engined aircraft. The flight trajectory and simulation results are given. Disturbance rejection and robustness analysis of the closed-loop system is performed by simulations under several flight conditions. m X . z jl i Iv 6 el bh . c
Finite scheduling of collaborative design and manufacturing activity: a Petri net approach

Purpose – This paper aims to present an approach of utilizing Petri net (PN) to model and schedule collaborative design and manufacturing activities at a cyber manufacturing centre (CMC). Design/methodology/approach – A conceptual PN model consisting of all activities at the CMC is drafted. This model is then simplified to generate a conflict free PN for scheduling analysis purposes. Based on this simplified PN, generalized scheduling algorithms were developed. The algorithms were used in spreadsheets to process and analyze the operation database before finally transforming it into a dynamic finite scheduling sequence in the form of Gantt chart.Findings – The PN is found to be very useful in modelling and analysing the scheduling sequence for a CMC with collaborative activities resembling flow shop with shared resources.Originality/value – The models and methods described in this paper are practical means of utilizing PN in managing the scheduling and manufacturing activities.
BIM NAS OBRAS PÚBLICAS EM PORTUGAL: CONDICIONANTES PARA UMA IMPLEMENTAÇÃO COM SUCESSO

Resumo. O “Building Information Modeling” (BIM) tem vindo a assumir o papel principal dentro das Tecnologias de Informacao e Comunicacao (TIC) no sector da Arquitectura, Engenharia e Construcao (AEC). As suas vantagens tem sido descritas tanto por profissionais como por academicos, sendo que estas culminam num aumento de produtividade durante a execucao do projecto e na diminuicao de custos ao longo do ciclo de vida do empreendimento.
Conversational Implicature in Austen's Pride and Prejudice: A Pragmatic Analysis of the Bennets' Discourse

Studying the implications of literary language is an interesting field of study as its focal analyses are the sophisticated linguistic features used consciously or unconsciously by the authors. Concerning the focus of this paper, the talent of Jane Austen is evident in the domain of literary linguistics. Reviewing the previous literature proves excessive scrutiny of the chief young couples, namely Elizabeth and Darcy. Given that, the present article sheds light on the conversations between the old couple in Pride and Prejudice; Mr. and Mrs. Bennet from a pragmatic perspective. The analysis focuses on the very first conversation between the couple as being representative of their relationship. This analysis employs two major pragmatic concepts: the various types of Austin's speech acts as defined by Cutting (2002) and Grice's maxims (1975). Of the thirty-one utterances analyzed in the targeted conversation, 20 are by Mrs. Bennet and 11 by Mr. Bennet. Mrs. Bennet's most frequent speech act is the representative whereas that of Mr. Bennet is the directive. Both violate the maxims, but Mrs. Bennet violates that of quantity as being talkative, unlike Mr. Bennet who violates quality and relation maxims. These analyses demonstrate the misunderstanding and deep psychological gap between Mr. and Mrs. Bennet inferred through their linguistic exchange.
Decision Making in English as an Additional Language: Surprises and Advantages

Do adult learners of English make different and sometimes better decisions in English than their monolingual peers and teachers? It is likely, possible, and probable. Using evidence from classroom decision making studies, with over 500 participants, we demonstrate that often adult English learners (henceforth adult Active Bilingual Learners/Users of English [ABLE]) make more accurate decisions in English than first language English speakers, when given time and the ability to utilize their whole linguistic repertoire (i.e., translanguaging). We specifically look at differences in decisions that involve 1) common adverbs of frequency (rare, possible, likely, frequently, etc.) and 2) system 1 (implicit) vs. system 2 (analytical) thinking in cognitive reflection tests, such as math story problems. Understanding these surprising differences and advantages in decision making in English as an Additional Language (EAL) has important practical implications for test preparation and daily instruction for adult ABLE students, and potentially as well for ABLE youth in K-12 schools.
Continuous assessment in engineering courses: can it be integrated in all teaching?

High-quality learn process centred teaching inevitably involves the individual teachers continuously ongoing context-specific assessment of students understanding, attitudes, problem solving abilities, etc. At the Department of Electroscience, students recognise this as an informal integrated part of the behaviour of appreciated teachers, who in turn claim they intuitively developed this rewarding strategy. In a new pilot project, the Deptartment of Electroscience in Lund now makes classroom assessment methods familiar to their teachers, and formally integrates stu
Performance measurement systems and time-based manufacturing

Abstract Today's production environment is often undermined by control mechanisms that were designed for another era. Specifically, most organizations control manufacturing wholly or in part using cost-based performance measurement systems. Depending upon the firm's objectives and key manufacturing tasklsr, too much attention upon cost considerations can have devastating effects upon overall performance. This paper discusses this issue in the context of corporations that increasingly find themselves competing for business on the dimension of time. A case study is presented to illustrate how time-based companies can be adversely affected by an overemphasis upon cost.
Constrained Control of Active Suspensions: An LMI Approach

This paper suggests a constrained control scheme for active suspensions with output and control constraints. The performance is used to measure ride comfort so that more general road disturbances can be considered. Time-domain constraints, representing requirements for: 1) good road holding which may have an impact on safety; 2) suspension stroke lim- itation; and 3) avoidance of actuator saturation, are captured using the concept of reachable sets and state-space ellipsoids. The proposed approach can potentially achieve the best possible ride comfort by allowing constrained variables free as long as they remain within given bounds. A state feedback solution to the constrained active suspension control problem is derived in the framework of linear matrix inequality (LMI) optimization and multiobjective control. Analysis and simulation results for a two-degree-of-freedom (2-DOF) quarter-car model show possible improvements on ride comfort, while respecting time-domain hard constraints.
Minimum Incremental k-Coverage in Ad-Hoc Sensor Network

The deployment is one of the stage while creating a wireless sensor network. A deployment may not reach some requirements for sustained and reliable operations, even though some redundant sensors are deployed. Improving the deployment by adding some sensors is an efficient way, which is treated as the incremental deployment problem. A problem named Minimum Incremental k-Coverage in a two-dimensional continuous space is formulated. Some definitions and theorems of coverage and adding target positions are derived. A heuristic approach to this problem is proposed and its performance is evaluated through extensive simulation-based experiments.
Optimization of Multi-Period Rail Procurement Plan

Rail is one of the most expensive assets in railway infrastructure. Therefore, a well-prepared rail procurement plan could benefit the asset management. For the metro system in Taiwan, the rail procurement plan includes two major uncertainties, namely, currency rates and the global steel price. In this study, we propose deterministic and stochastic optimization models using a scenario-generation process to minimize the expected cost of the rail procurement plan. Results from the case studies demonstrate that the proposed models can successfully incorporate the uncertainties and obtain the optimal procurement plan. The sensitivity analysis on budget, storage capacity, and expiration period also provides the metro operator the best strategy to further lower the procurement cost. Adopting these models in rail procurement planning can improve the process and results of rail asset management.
Research of human perception of spatial sound direction

This research presents human ability to localise sound source direction using personalised and not personalised HRIR data during synthesis of binaural sound. Not personalized data from IRCAM database was used and the personalized was registered individually for 10 participants, where 2 of them were blind. Then binaural sound was created using single tone, two tones and sweep signals. Test results show that personalised data helps to localise arrived sound direction better than use of not personalised data. That means personalised HRIR data could be used for navigation technologies with acoustical maps as more informative alternative. Also it was found out, that sound tones with higher frequency are more suitable for indicating signal due the less direction error.
Incorporating Radio Frequency Identification into the Production Line for Work Flow Improvement

Radio Frequency Identification (RFID) technology can be used in many different applications. There are numerous instances of RFID being used in everyday life. For instance, anyone who works in a secure office, goes to university, drives a car with an immobiliser or parks in a secure car park. Other scenarios include the tracking of animals in the farming industry when cattle and sheep need to be identified by the farmer. Another instance where RFID can be used, is in the manufacturing industry. Tags can be attached to items that are moving through the factory on conveyer belts or being moved around by staff on trucks or forklifts. As the tags move around the factory floor or the warehouse they pass by readers and the tags can be then tracked using intelligent software and database application. In fact, radio Frequency Identification systems are becoming more and more embedded in the supply chain. Tracking goods in the work place has been identified as one area where production can be improved. In fact, in almost all non “green field” modern manufacturing facilities, there are work flow process systems that can be improved to reduce the overall work load and increase the total work throughput. This project will look at a “real life” manufacturing facility, assess its current work flow process, evaluate them against industries best practices and seek to integrate RFID to help stream line work flow. After assessment, the RFID solution will be implemented to tackle the highlighted areas. This will be achieved by understanding the client‟s current situation, industrial best practices and how RFID technology can be implemented now and modified in the future to continue to maximize efficiency. The expected outcome of the research is that RFID can contribute to modern work flow systems, however all systems will be inevitably based on a software database, and it will be how the RFID technology is used to create additional database entries and manipulate or link existing data that will see its true value.
Prediction Model Using Reinforcement Deep Learning Technique for Osteoarthritis Disease Diagnosis

Osteoarthritis is the most common class of arthritis that involves tears down the soft cartilage between the joints of the knee. The regeneration of this cartilage tissue is not possible, and thus physicians typically suggest therapeutic measures to prevent further deterioration over time. Normally, bringing about joint replacement is a remedial course of action. Expose itself in joint pain recognized with a normal X-ray. Deep learning plays a vital role in predicting the early stages of osteoarthritis by using the MRI pictures of muscles of the knee muscle. It can be used to accurately measure the shape and texture of biological structures can be measured consistently from X-ray images. Moreover, deep learning-based computation can be used to design framework to predict whether a given patient will develop osteoarthritis. Such a framework can identify clear biochemical changes in the focal point of ligaments of the knees of patients who have exhibit pre-indications in standard imaging. This study proposes framework to identify cases of osteoarthritis by using deep learning and reinforcement learning. It can be used as a clinical mechanism to predict the occurrence of osteoarthritis so that patients can benefit from early intervention.
Source of construction industry instability and performance problems

A ten year study of construction performance has resulted in a conclusion that construction industry performance problems are being caused by the client's delivery process. The hypothesis of the research is that the client has created a price-based environment which forces a technical solution to construction issues. Modeling has been created which deductively shows that the problem is being caused by the client's selection of contractors rather than the type of delivery process (design-bid-build, design-build, or CM@Risk). A solution is proposed in the paper which uses the concepts of outsourcing, quality control (rather than management and inspection), continuous improvement with minimal client control, and a process based upon leadership rather than management principles. One of the major design requirements for the process is that the client must receive best value (best performance at the lowest possible cost) and the contractor must maximize their profit. The deductive design is supported by test results over the past ten years.
Assessing Delayed Neurotoxicity in Rodents after Nerve Gas Exposure

Delayed neurotoxicity of an organophosphorus nerve gas Sarin (a chemical warfare agent) following repeated inhalation exposure in rats and mice, was studied by behavioural, biochemical and histopathological analyses. Rats exposed to Sarin aerosols (12.5 mg/m/sup 3/ for 20 min) daily for ten days did not exhibit any clinical sign of delayed neurotoxicity. Neurotoxic esterase (NTE) activity in the brain, spinal cord and platelets was significantly inhibited, but the inhibition was below the threshold. Histopathological examination of spinal cord did not show any axonal degeneration. Mice exposed to Sarin aerosols (5 mg/m/sup 3/ for 20 min) daily for ten days developed mild ataxia and muscular weakness of the hind limb on 14th day after the start of exposure. NTE activity was significantly inhibited in brain, spinal cord and platelets. Histopathology of spinal cord showed focal axonal degeneration. Acetyl-choline esterase activity in the platelets of both the animals was significantly inhibited. We conclude that mice are sensitive to delayed neurotoxicity induced by repeated exposure to sarin whereas rats are insensitive.
Migración de género, passing e inteligibilidad post-recesionaria

La era postfeminista post-recesionaria marca un giro a la interioridad, fuera de cuyo registro quedan cuerpos ininteligibles, excluidos, desarraigados y precarios. Esos cuerpos combaten sistemas de clasificación que no se abren a la multiplicidad de experiencias corporales. Después de las últimas modificaciones del manual diagnóstico CIE en 2018, se ha abierto supuestamente una puerta al cambio a nivel institucional para las identidades y corporalidades trans. No obstante, a nivel social, quienes tienen acceso a servicios, conocimiento y apoyo social son les que entran en los márgenes del passing. El texto examina la tensiónentre la conquista de la inteligibilidad y la libre exploración de lo no binario. Se realiza una lectura crítica y posicionada de propuestas teóricas que han cambiado últimamente la forma de percibir lo trans. La noción de «desposesión» es clave para esta lectura. El texto rodea dichos posicionamientos operando con tres lecturas: una representacional, una sistémicaprospectiva, y una intercultural.
Finite-element modelling of superconductors in over-critical regime with temperature dependent resistivity

In this paper, we present a new numerical model, in which both the thermal and the electromagnetic aspects of the over-critical current regime of HTS materials are taken into account. The electromagnetic and thermal equations have been implemented in finite-element-method (FEM) software in order to obtain a novel, closer to reality model for investigating the behaviour of the superconductor when the current exceeds $I_{c}$. This model has been applied for studying the behaviour of strip lines of an YBCO/Au FCL with a sapphire substrate. Simulations with currents largely exceeding $I_{c}$ have been performed, showing that the total current limitation occurs only when the temperature dependence of the electrical parameters is taken into consideration. Such modelling can replace experiments with currents far exceeding $I_{c}$ which may damage or destroy the studied sample or HTS device.
Development of Social Support Model to Reduce Menopause Women's Anxiety

Background: Menopause is a natural phase of a woman’s life when menstrual periods stop permanently and cause psychological symptoms such as anxiety. anxiety can be reduced when women get social support. Objective: The purpose of this study is to develop a social support model to reduce anxiety in menopausal women. Method: This study applied explanatory research design with a Cross-sectional approach. The study population was selected 197 menopausal women who were in 11 clusters in Diwek Jombang Regency. The participants were selected using Cluster Random sampling. The data analyzed by using the Partial Least Square test. The inclusion criteria of this research are 1) Women Menopause Age 45-55 years old experiencing anxiety, 2) Registered in couples of childbearing age records 2017 of Diwek District Health Center, while the exclusion criteria of this research are 1) Menopausal women single/ virgin, 2) Using tranquilizers, 3) Using hormone replacement therapy (TSH). Results: The results showed that (1) individual factors significantly influenced the evaluation of stress (path coefficient of -0.056, t = 3.74); (2) social networking significantly influences stress evaluation (path coefficient -0.147, t = 2.13); (3) social support significantly influences stress evaluation (path coefficient -0.117, t = 2.02); (4) social support significantly influences anxiety (path coefficient -0.326, t = 5.25); and (5) stress evaluation significantly influences anxiety (path coefficient 0.196, t = 9.07). Conclusion: The development of social support models to reduce postmenopausal anxiety has a significant direct effect. The development of the model consists of stress assessment consisting of experience, trust, coping resources, informative support and award support. The development of social support is highly recommended to reduce anxiety among menopausal women by promoting stress evaluation and social support from close relationships. Desarrollo del modelo de apoyo social para reducir la ansiedad de la menopausia femenina
Overcoming drug resistance by targeting protein homeostasis in multiple myeloma

Multiple myeloma (MM) is a plasma cell disorder typically characterized by abundant synthesis of clonal immunoglobulin or free light chains. Although incurable, a deeper understanding of MM pathobiology has fueled major therapeutical advances over the past two decades, significantly improving patient outcomes. Proteasome inhibitors, immunomodulatory drugs, and monoclonal antibodies are among the most effective anti-MM drugs, targeting not only the cancerous cells, but also the bone marrow microenvironment. However, de novo resistance has been reported, and acquired resistance is inevitable for most patients over time, leading to relapsed/refractory disease and poor outcomes. Sustained protein synthesis coupled with impaired/insufficient proteolytic mechanisms makes MM cells exquisitely sensitive to perturbations in protein homeostasis, offering us the opportunity to target this intrinsic vulnerability for therapeutic purposes. This review highlights the scientific rationale for the clinical use of FDA-approved and investigational agents targeting protein homeostasis in MM.