Miracle-dz/UniFAR-FTUs huggingface dataset:
Finite Element Simulation Of Orthogonal Metal Cutting

In the present work, the development of a coupled thermo-mechanical finite element model of plane-strain orthogonal metal cutting with continuous chip formation is presented. Friction along the tool-chip interface plays a very important role in the metal cutting process. Modelling of interfacial friction was based on constant shear friction. Whenever the tool come in contact with the workpiece, it is necessary to impose non-penetration constraints. In order to accurately simulate the metal cutting process a flow stress model based on process dependent parameters such as strain, strain-rate and temperature was used. To simulate separation of the chip from the work-material, a geometrical chip-separation criterion, based on the distance between the tool tip and the nodal point located immediately ahead, is implemented into the code by employing the tying constraint. Orthogonal cutting experiments were performed for C40 steel to validate the finite element model. Good agreement was found based on cutting forces and average chip measurements. The distributions of strain, strain-rate, stress and temperature in the deformation zone have been obtained and representative contour plots for these field quantities have been analysed. The results obtained in this paper show that friction along the tool-chip interface strongly affect the distribution of the thermomechanical fields.
Foresight on Real-Time Monitoring System for Submarine Optical Fiber Cables Based on Fiber Sensing Technology

In this paper, the main factors influencing the reliability of submarine optical fiber cables (SOFC) are analyzed, and the significance of the research on real-time monitoring technology of SOFC is illuminated. Also, the principle of distributed double Mach-Zehnder (M-Z) interference vibration sensing system is discussed. Then, the feasibility of the system applied in pre-warning and fault location of SOFC is verified. In view of the main problems of the optical fiber vibration sensing system, two optimization schemes are presented in this paper to improve the performance of the system.
5.2.2 Complexity Measures to Predict System Development Project Outcomes

While it is broadly accepted that complexity makes system development harder, there is no concrete understanding of which types of complexity have the most significant impact. Looking beyond current literature which describes complexity or measures the complexity of a system, this research seeks complexity measures that directly affect development project outcomes: project cost overrun, project schedule delay, and system performance shortfalls. A set of complexity measures was developed based on a comprehensive literature analysis and ranking via a trade study. The effect of those measures on project outcome was studied for 75 systems development efforts, primarily in the aerospace and defense sector. The findings indicate that among the dozens of complexity measures discussed in the literature, the three measures with the most significant impacts on development outcomes in these projects were: number of hard‐to‐meet requirements, degree of cognitive fog, and stability of stakeholder relationships.
Metamaterial-based antenna with triangular slotted ground for efficiency improvement

A metamaterial-based antenna is presented that consists of periodic electromagnetic bandgap (EBG) cells on the top plane and triangular slots on the bottom ground plane. This proposed microstrip patch antenna can yield left-handed, zeroth-order and right-handed metamaterial resonances owing to the asymmetrical periodic structure of honeycomb-like EBG. Experimentally, the efficiency of this antenna is improved by about 14.7% at the zeroth-order resonant mode as the triangular slot length on the ground plane is increased from 0 to 5.5 mm.
Development of Contour Size Detection System of Driver Airbag

A new detection system has been designed and developed for detecting the contour size of automobile driver airbag. The detection system is mainly composed of a CCD camera, optical system and a computer which can implement image processing and image recognition. This system uses a CCD sensor as its sensitive element, as well as the basic principle of image processing combined with image segmentation and template matching to determine whether the contour size of airbag is qualified. The experimental results show that the system improves the detecting precision, and speed of assembling automobile airbags. It also solves the problems of a heavy workload by manual operations, inaccurate judgments and low efficiency.
Global environmental regulation and workers in the shipping industry

This thesis explores the practice of complying with environmental regulations in the global shipping industry and examines the impact on workers. Using a case study example of a large and reputable ship management company, I discuss the understandings that onshore and sea-going staff at the company have of policies and practices in relation to environmental protection. The case study approach used here involves ethnographic fieldwork aboard two container ships and at the company premises. Three research techniques are employed: semi-structured interviews, observations and documentary analysis. Specifically, and based on the operation of five key components of the company’s environmental programmes on board the ship: garbage; sewage; ballast water; oily wastes; and atmospheric emissions, the research examines seafarers’ practices of implementing the programmes and whether ship staff and their shore-based managers perceive the practices as damaging. Two significant findings emerge: that while environmental compliance has increased the workload on board, ship staff do not consider this change to affect the quality of their work and life on board the ship; and that seafarers are more likely to suffer from stress when complying with environmental regulations but are disinclined to worry about the potential for occupational exposures. The study also found a correlation in the understandings of both managers and seafarers at the company about the relevance of environmental requirements in general and of the company environmental management system in particular, which played a critical role in terms of how these requirements were operationalized aboard the ship. This study contributes to current understandings of the practice and impact of corporate compliance with environmental regulations.
Managing demand variability using requisite variety for improved workflow and operational performance: the role of manufacturing flexibility

In this study, we use the law of requisite variety to investigate the effect of manufacturing flexibility on workflow and operational performance. After developing a requisite variety construct using a parsimonious conceptualisation of manufacturing flexibility, we test our research model with data collected from US manufacturers. The results of the analysis using structural equation modelling support our hypotheses. Our study makes three important contributions. First, we provide a more complete understanding of manufacturing flexibility and its relationship to operational performance. By empirically testing our model, we develop support for manufacturing flexibility as a workflow regulator which provides an organisation with the necessary variety in its response-repertoire to effectively manage demand variability. Second, our analysis of our requisite variety construct allows us to better understand the complex relationship between manufacturing flexibility and efficiency. Our findings suggest that the trade-off between manufacturing flexibility and efficiency can be attenuated. Third, we provide evidence to show that manufacturing flexibility positively influences performance by increasing the speed of material flow and improving organisational efficiency.
Neuro-fuzzy controller for battery equalisation in serially connected lithium battery pack

This study presents a non-linear, dynamic control method for equalising battery cell voltages in a serially connected lithium-ion battery system based on an adaptive neuro-fuzzy inference system. By using a combination of neuron networks and fuzzy logic, the optimal control method is obtained by self-learning capability to equalise the current between battery cells. The duty cycle used to control the metal-oxide-semiconductor field-effect transistors in individual battery cell equalisers are changed based on the dynamic equalising and system status. While energy is transferred from higher voltage cells to lower voltage cells, online measurement is utilised to collect data for tracking. Therefore the duty cycle control has an optimal response in this battery system. The state of the optimal control output is presented in simulation results. To demonstrate the effectiveness of the proposed control scheme and robustness of the acquired neuron-fuzzy controller, the controller was implemented in a serially connected lithium battery system model using a microprocessor. The proposed system achieved a learning accuracy error of 1.8 × 10−5, and the equalising time was approximately 3000 s for a 0.25-V voltage gap.
Sensitivity analysis of a six degrees of freedom displacement measuring device

Object of this paper is the performance analysis of a six degrees of freedom measuring device based on a modified Stewart platform structure. Because of the device studied in this work represents a novel application of a Stewart like platform, an investigation about its performance has been done, in order to evaluate both behaviour and characteristics of this device in different geometrical configurations. In particular, sensitivity analysis has been carried on about geometrical characteristics and displacements amplitude. To calculate the sensitivity, the inverse kinematic equations of the device have been obtained.
Solid‐state thin‐film memistor for electronic neural networks

We report on a tungsten‐oxide‐based, nonvolatile, electrically reprogrammable, variable resistance device as an analog synaptic memory connection for electronic neural networks. A voltage controlled, reversible injection of H+ ions in electrochromic thin films of WO3 is utilized to modulate its resistance. A hygroscopic thin film of Cr2 O3 is the source of H+ ions. The resistance of the device can be tailored and stabilized over a wide dynamic range (∼four orders of magnitude), and the programming speed is modulated by the control voltage. The suitability of such a device in terms of its response speed, reversibility, stability, and cyclability for its use in electronic neural networks is discussed.
A Simple Grid-Voltage-Sensorless Control Scheme for PFC Boost Converters

This paper introduces a simple grid-voltage-sensorless control scheme for single-phase power factor correction (PFC) boost converters. The grid voltage waveform is obtained based on the dc output voltage, the switching duty ratio, and a phase-lead compensator. In addition, the duty ratio feedback is utilized to obtain the unity input power factor and the zero harmonic current. The proposed control scheme is designed and mathematically analyzed based on a small-signal model of PFC boost converters. To verify the effectiveness of the proposed control scheme, several simulations and experiments are carried out in two applications: an industrial power system with a 60 Hz grid frequency and a commercial aircraft application with a 400 Hz grid frequency.
Dysregulation of Transglutaminase type 2 through GATA3 defines aggressiveness and Doxorubicin sensitivity in breast cancer

The role of transglutaminase type 2 in cell physiology is related to protein transamidation and signal transduction (affecting extracellular, intracellular and nuclear processes) aided by the expression of truncated isoforms and of two lncRNAs with regulatory functions. In breast cancer TG2 is associated with disease progression supporting motility, epithelial-mesenchymal transition, invasion and drug resistance. The aim of his work is to clarify these issues by emphasizing the interconnections among TGM2 variants and transcription factors associated with an aggressive phenotype, in which the truncated TGH isoform correlates with malignancy. TGM2 transcripts are upregulated by several drugs in MCF-7, but only Doxorubicin is effective in MDA-MB-231 cells. These differences reflect the expression of GATA3, as demonstrated by silencing, suggesting a link between this transcription factor and gene dysregulation. Of note, NC9, an irreversible inhibitor of enzymatic TG2 activities, emerges to control NF-ĸB and apoptosis in breast cancer cell lines, showing potential for combination therapies with Doxorubicin.
Pets and Politics: Do Liberals and Conservatives Differ in Their Preferences for Cats Versus Dogs?

Liberals and conservatives are perceived to disagree on most aspects of life, even seemingly trivial things like pet choice. Although the question of whether liberals and conservatives differ in their liking for cats and dogs has been sporadically investigated, few peer-reviewed reports exist, results are mixed, and most reports examine this topic indirectly. In this registered report we employed a large existing dataset to examine whether political identity predicts liking of cats and dogs, and a preference for one over the other. Self-reported political identity was used to predict explicit evaluations of both pets, in addition to performance on an Implicit Association Test (IAT) measuring pet preference. Greater conservativism predicted more negative evaluations of cats and an overall preference for dogs over cats, even after controlling for relevant demographics.
A Design of Smart Dressing System

In traditional clothing store, it’s necessary to try clothes before purchasing. But in many situations, people do not like to try it, which were caused in wearing on and off is considered as an inconvenient action. Besides, females’ make-up may stain the clothes while fitting. The proposed method provides a smart dressing system which can enhance the willingness to try dressing but also avoid staining the clothes when wears on and off. This system is composed with three stages: contour initialization, attaching the control points, and field morphing. The experimental results compare to those existing systems show that our system provides a convenient dressing system which can be widely adoptable by apparel stores.
DVZ-Based Collision Avoidance Control of Non-Holonomic Mobile Manipulators

This paper addresses the problem of collision avoidance control of mobile manipulators evolving in unknown and dynamic environments. The proposed approach is based on Deformable Virtual Zone (DVZ) paradigm. The formulation of this method is given for mobile bases and its extension to mobile manipulators is detailed. This approach allows to implement fast control laws and can be seen as an efficient low level algorithm for controlling motions to avoid unscheduled obstacles. Simulation results are discussed, showing the effectiveness of the proposed method.
Experiencing religious information literacy: Informed learning in church communities

This paper reports an exploration of religious information literacy in terms of how people use information to learn in the context of church communities. The research approach of phenomenography was used to explore Uniting Church in Australia members’ experience of using information to learn as participants in their church communities. Five ways of experiencing religious information literacy were identified, using information to learn about: growing faith, developing relationships, managing the church, serving church communities and reaching out beyond church communities. It is anticipated that such findings will be of interest to information professionals, including information literacy specialists, as well as leaders and members of church communities.
Das Anthropozän

Der Begriff Anthropozän wird neuerdings verwendet, um in Anlehnung an erdgeschichtliche Epochenbezeichnungen unseren gegenwärtigen Zeitraum zu benennen, der, im Unterschied zu allen vorhergehenden Epochen, durch die Tätigkeit des Menschen, des Anthropos, geprägt wird. Ein unerschöpfli­ ches Datenmaterial belegt, daß in den vergangenen beiden Jahrhunderten der Mensch seine Umwelt biologisch, klimatisch und geologisch dermaßen tiefgreifend verändert hat, wie es in der Erdgeschichte bisher nur durch Kräfte der Natur oder des Kosmos (z.B. Erdbeben, Vulkanausbrüche, Meteo­ riteneinschläge, Schwankungen der Erdachse oder der Sonnenaktivität) ge­ schehen ist. Deshalb erscheint die abgrenzende Bezeichnung durch einen erdgeschichtlichen Epochennamen gerechtfertigt, um unsere Lage angemes­ sen und somit handlungsleitend definieren zu können. Die zu dieser Auffas­ sung führende erdund wissenschaftsgeschichtliche Entwicklung beschreibt Eckart Ehlers indem er die jeweiligen geowissenschaftlichen Erkenntnisse im Zusammenhang mit geistesgeschichtlichen Deutungen der Stellung des Menschen in der Welt erläutert. Er war Professor und langjähriger Direktor am Institut für Wirtschaftsgeographie in Bonn und u.a. von 1992 bis 2000 Generalsekretär der Internationalen Geographischen Union (IGU). Gewis­ sermaßen gibt Ehlers, geboren 1938, mit seinem 2008 erschienen Buch „Das Anthropozän“ ein Resümee seiner eigenen Forschungstätigkeit bezüglich des Mensch-Umwelt-Verhältnisses. Demnach entstand aus dem Wechselspiel zwischen natürlicher Umwelt, besonders klimatischen Einflüssen, und den beeindruckenden geistig intellektuellen Leistungen des Menschen im Verlauf des Holozän eine neue, von menschlichen Aktivitäten geprägte Epoche. Die damit einhergehende Überlastung unseres Ökosystems Erde wird von Ehlers nicht nur dargelegt, sondern die Frage nach der menschlichen Verantwortung eindringlich gestellt.
Comparative performance evaluation between the S4R and the S3R regulated bus topologies

The S3R and S4R space power converter topologies are shown to be suitable for regulated bus power systems. The S3R topology has been used in space applications for several decades, mainly in GEO projects. However, the power involved in actual spacecraft reaching the tens of kW as well as the increasing demands of LEO applications requiring fast recharges of the batteries, show the limits of the capability of the S3R topology. A comparative performance evaluation of the two topologies is presented by the authors in this paper.
Power-generation prediction for piezoelectric composite plates by modal analysis

When the thickness of a plane structure is much smaller than its other characteristic lengths, a plate model is more realistic than a beam model. For a thin piezoelectric layer fully coated with metal electrodes on its top and bottom surfaces, the internal electric field is simple and easy to model. Therefore, it is advantageous to derive a piezoelectric composite plate model based on e-form constitutive equations. This approach is adopted to develop a mathematical model of Kirchhoff–Love type for a plate composed of a piezoelectric layer and a metal layer. To develop a method for calculating the loaded-circuit voltage between the top and bottom electrodes is one of the major tasks of this paper. The electric power generated from piezoelectric layer is found by modal analysis. Top and bottom electrodes of the piezoelectric layer are shorted for calculating resonant frequencies and mode shapes. Once these two electrodes are connected to an external circuit load, boundary conditions of top and bottom surfaces become nonhomogeneous. Superposition of short-circuit modes and one particular field constitutes the nonhomogeneous solution. A composite plate composed of a 0.3mm thick copper layer and a 0.2mm thick PZT-5A layer is investigated. The cantilever plate of 25mm in length is base-excited near the first resonant frequency. When connected to a circuit with certain load impedance, more than 80% efficiency of power generation can be achieved.
Simulating Aldicarb Transport in a Drained Field

The United States Geological Survey computer model Variably Saturated Two Dimensional Transport (VS2DT) was modified to treat boundary conditions imposed by parallel subsurface drain tubes. The modified model was used to simulate groundwater flow and aldicarb transport in research plots under conventional drainage, controlled drainage, and subirrigation. The reliability of the model was tested by comparing model predictions with field measurements.
Chemoattraction of Neoplastic Glial Cells with CXCL10, CCL2 and CCL11 as a Paradigm for a Promising Therapeutic Approach for Primary Brain Tumors

Chemoattraction is a normal and essential process, but it can also be involved in tumorigenesis. This phenomenon plays a key role in glioblastoma (GBM). The GBM tumor cells are extremely difficult to eradicate, due to their strong capacity to migrate into the brain parenchyma. Consequently, a complete resection of the tumor is rarely a possibility, and recurrence is inevitable. To overcome this problem, we proposed to exploit this behavior by using three chemoattractants: CXCL10, CCL2 and CCL11, released by a biodegradable hydrogel (GlioGel) to produce a migration of tumor cells toward a therapeutic trap. To investigate this hypothesis, the agarose drop assay was used to test the chemoattraction capacity of these three chemokines on murine F98 and human U87MG cell lines. We then studied the potency of this approach in vivo in the well-established syngeneic F98-Fischer glioma-bearing rat model using GlioGel containing different mixtures of the chemoattractants. In vitro assays resulted in an invasive cell rate 2-fold higher when chemokines were present in the environment. In vivo experiments demonstrated the capacity of these specific chemoattractants to strongly attract neoplastic glioblastoma cells. The use of this strong locomotion ability to our end is a promising avenue in the establishment of a new therapeutic approach in the treatment of primary brain tumors.
High accuracy human activity recognition using machine learning and wearable devices’ raw signals

ABSTRACT Human activity recognition (HAR) is vital in a wide range of real-life applications such as health monitoring of olderly people, abnormal behaviour detection and smart home management. HAR systems can employ smart human-computer interfaces and be parts of active, intelligent surveillance systems. The increasing use of high-tech mobile and wearable devices, such as smart phones, smart watches and smart bands, can be the key elements in building high accuracy models, as they can provide a tremendous number of signals. This research aims to develop and test a machine learning (ML) model, which can successfully recognize a performed activity using raw signals obtained by wearable devices. Photoplethysmography – Daily Life Activities (PPG-DaLiA) dataset contains data related to 15 individuals wearing physiological and motion sensors. PPG-DaLiA was used as an input to a custom data segmentation model to obtain the respective training and testing dataset. Overall, 23 ML well-established models were employed. The weighted and the fine k-nearest neighbours, the fine Gaussian support vector machines and the bagged trees were the algorithms that achieved the best performance with a very high accuracy level.
Economic Design of a Combined Continuous Lot by Lot Acceptance Sampling Plan under the Quality Investment

In this study, the economic selection of quality investment for designing a combined continuous lot by lot acceptance sampling plan with average outgoing quality limit (AOQL) protection is proposed. Both the mean and the standard deviation of the process are measured as an exponential function of the quality investment. The optimal combination of parameters for single and continuous sampling plan and the quality investment level is jointly determined by minimizing the expected total cost of product under the specified AOQL value.