Miracle-dz/UniFAR-FTUs huggingface dataset:
Responding to stigmatization: How to resist and overcome the stigma of unemployment

Organization research on stigma has mostly focused on the stigmatized, limiting the scope for exploring what is possible and lacking recognition of the structural conditions and unequal power relations that create and sustain stigma. Consequently, it overlooks how actors can organize to resist and potentially overcome stigmatization altogether. Addressing this question empirically, we studied the long-term unemployed in Spain using a longitudinal qualitative research design. We develop a typology of responses to stigmatization – getting stuck, getting by, getting out, getting back at and getting organized – that advances our understanding of stigma in several ways. First, our typology captures stigma as a multilevel phenomenon. Second, it makes explicit that stigma can only be understood in relation to its socio-historical contexts and unequal relations of power. Third, it captures how resisting stigma needs to be a collective enterprise and advances the importance of organizing to both challenge stigmatization and explore alternatives.
Automated tongue area detection for computer‐aided diagnosis based on ASM and GA

Purpose – The human tongue is a unique organ that can be stuck out of the body for physical examination, and tongue diagnosis is very important in traditional Chinese medicine. Automated tongue area detection is crucial and indispensable for computer‐aided tongue diagnosis, but it is difficult to implement because of the physiological properties of the tongue. For example, as a non‐rigid organ, the tongue has a high degree of variability in size, shape, color, and texture. The purpose of this study is to address this problem.Design/methodology/approach – This paper presents a hybrid framework for tongue area detection based on active shape model and genetic algorithm with the prior knowledge of tongue shape deformation.Findings – A set of 612 tongue images was collected from both healthy and sick subjects. Using these images, the proposed method was compared with state‐of‐the‐art methods. The proposed method achieved an improvement of about 10 percent, 36 percent, and 6 percent over the existing methods i.
Thalamic hyperconnectivity as neurophysiological signature of major depressive disorder in two multicenter studies

The promise of machine learning has fueled the hope for developing diagnostic tools for psychiatry. Initial studies showed high accuracy for the identification of major depressive disorder (MDD) with resting-state connectivity, but progress has been hampered by the absence of large datasets. Here we used regular machine learning and advanced deep learning algorithms to differentiate patients with MDD from healthy controls and identify neurophysiological signatures of depression in two of the largest resting-state datasets for MDD. Resting-state functional magnetic resonance imaging data were obtained from the REST-meta-MDD (N=2338) and PsyMRI (N=1039) consortia. Classification of functional connectivity matrices was done using support vector machines (SVM) and graph convolutional neural networks (GCN) and performance was evaluated using 5-fold cross-validation. Results were visualized using GCN-Explainer, an ablation study and univariate t-testing.Mean classification accuracy was 61% for MDD versus controls. Mean accuracy for classifying (non-)medicated subgroups was 62%. Visualization of the results showed that classifications were driven by stronger thalamic connections in both datasets, while nearly all other connections were weaker with small univariate effect sizes.Whole brain resting-state connectivity is a reliable though poor biomarker for MDD, presumably due to disease heterogeneity. Deep learning revealed thalamic hyperconnectivity as a prominent neurophysiological signature of depression in both multicenter studies, which may guide the development of biomarkers in future studies.
Polarization-based optical fiber wavelength filters

Polarization-based in-line wavelength filters have been designed and evaluated. These are compact devices fabricated from single-mode optical fiber possessing high linear birefringence. A minimum passband width of 10 nm has been demonstrated at a passband separation of 60 nm. Both bandpass and bandstop devices can be produced. The filters are constructed from a single strand of fiber, less than 1 m in length, positioned between a pair of polarizers. Rotation of the polarization azimuth at appropriate intervals from the fiber input is achieved by twisting portions of the fiber to induce circular birefringence. Passband widths and separations are selected by choice of the number of twisted sections in the filter, and the lengths and twist angles of such sections. >
"Neither master nor slave...". A practical case study in the development and employment of cleaning robots

Industrially-oriented robotics research over the past decade has turned its attention to applications outside manufacturing environments. This is leading to the development of so-called "service robots". The function of a service robot necessarily entails greater focus on human factors issues. This industrial-perspective overview paper presents current floor-cleaning robots, and in particular describes the development of the Acromatic 750, made under ESPRIT Project 6051 "ACRO" (Autonomous Cleaning RObot), and its re-design and testing under ESPRIT Project 22172 "TEAM" (Test Environments for Autonomous Machines). It examines the practical barriers currently hindering commercial development and argues for a more eclectic approach to autonomous systems development, taking into account the operator's role and current industry structure.
Full-wave analysis of conductor losses on MMIC transmission lines

A mode-matching analysis of lossy planar transmission lines is presented. The metallic layers are treated in the same way as the remaining waveguide subregions, with each of them characterized by its complex dielectric constant. This leads to a fully self-consistent description of the conductor losses that offers two principal advantages compared to the usual perturbation methods: the approach remains valid for metallization dimensions on the order of or even smaller than the skin depth, and non-TEM (transverse electromagnetic) waveguide modes can be analyzed. The validity and usefulness of the extended mode-matching method are demonstrated through a comparison with previous theoretical and experimental work on GaAs MMIC (monolithic microwave integrated circuit) transmission lines. First results on microstrip and slot lines are given. <<ETX>>
Continuous Control for Buffering Conveyors in Beverage Bottling Plants

In beverage bottling plants, buffering conveying systems are used to decouple the various machines. They avoid propagation of machine breakdowns along the plant by assimilating or releasing bottles or containers. Today, they are controlled in steps by mechanical jam switches. In many cases, they enable an enduring filling process, which is necessary to gain good product quality and high plant efficiency. But with longer faults, the filling process still has to stop or slow down. Additionally, today's conveyors run very noisy. This affects the operator's health and conflicts with legal regulations.
A MEMS piggyback actuator for hard-disk drives

This paper reports a new fabrication process and designing method to integrate MEMS piggyback actuators on a silicon-on-insulator (SOI) wafer with magnetic read/write heads of hard-disk drives. Large bandwidth of the tracking servo system is designed by reducing the load mass for the tracking microactuator to be around 40 /spl mu/g. A prototype electrostatic MEMS actuator (2 mm /spl times/ 3 mm /spl times/ 0.6 mm) of multiple parallel plates has been successfully integrated by using high-aspect ratio microstructures (gap opening 2 /spl mu/m into 50-/spl mu/m-SOI wafer) patterned by deep reactive-ion-etching (DRIE). A dc displacement of 0.5 /spl mu/m, which is almost the same size as data track width, has been obtained at a driving voltage of dc 60 V and the fundamental resonance is found at 16 kHz. An analytical model of the MEMS piggyback actuator has been proposed to predict electromechanical performance. The fabrication method proposed here is very simple and straightforward to put the head-element-drive mechanism into practice.
Medical Equipment Management through the Use of Radio Frequency Identification (RFID)

Abstract : The purpose of this MBA project is to identify the potential value of Radio Frequency Identification (RFID) in the management of medical equipment at Naval Medical Center San Diego (NMCSD). In doing so, the project seeks to derive potential benefits through the use of RFID technology by comparing a group of medical equipment items that are tracked within NMCSD. The project includes a discussion of additional potential uses of RFID infrastructure within the Military Healthcare System, and possible resulting benefits. Ultimately, the project will determine the financial viability and practicality of implementing RFID.
Modelling Physical Accessibility to Public Green Spaces in Switzerland to Support the SDG11

Urban sprawl has a strong impact on the provision and use of green spaces and, consequently, on the benefits that society can derive from these natural ecosystems, especially in terms of public health. In looking at the Sustainable Development Goals and other regional policy frameworks, there is a strong need for quantifying access to green spaces. This study presents and applies a methodology to model the physical accessibility at national and sub-national scales to public green spaces (i.e., urban green spaces and forests) in Switzerland, using AccessMod and ArcGIS travel time functions. We found that approximately 75% and 36% of the Swiss population can access the nearest urban green space within 5 min and 15 min, respectively, using motorized transport. For motorized access to the nearest forest patch, 72% and 52% of the population are within 5 min and 15 min, respectively. When considering only the main urban areas, approximately 55% of the population can walk to the nearest urban green space within 5 min. However, a high heterogeneity in access exists at cantonal and municipal levels, depending on road density, green space density, and population distribution. Despite some possible challenges in correctly delineating public green spaces, our methodology offers a replicable approach offering not only insights into sustainable urban development, but also the facilitation of comparison with other European countries.
Principle of Detailed Balance and the Second Law of Thermodynamics in Chemical Kinetics

The principle of detailed balance is shown to be a sufficient condition for the second law of thermodynamics in thermally equilibrated elementary chemical reactions. For an elementary reaction, the principle of detailed balance relates the forward and the reverse rate constants through the reaction equilibrium constant. It is shown that, in addition to the long known thermodynamic inconsistency at chemical equilibrium state, departure from this principle introduces an extra source/sink of entropy in the entropy balance for an elementary chemical reaction. The departure results in the wrong final chemical equilibrium state and, depending on the choice of the reverse rate constants, may lead to negative entropy productions during kinetic transients. [DOI: 10.1115/1.4024221]
Medicinal and Aromatic Plants Consumption Habits of Consumers in the Corona Virus Pandemic

Living conditions in Turkey has been changed considerably during Covid-19 pandemic. This phase has changed people's normal lives, habits such as eating, resting, and shopping and pushed them to different pursuits. This study aimed to obtain data on the consumption preferences of medicinal and aromatic plants. The survey was conducted in the autumn of 2020. Choices and health services that are effective in the consumption of Medicinal and Aromatic Plant (MAP) of consumers are estimated by statistics and logit regression model to the data obtained from the surveys. It was determined that the coronavirus pandemic increased the consumption of medicinal and aromatic plants by 76%. The plants with the highest consumption during the pandemic were recorded as rosehip, linden, mint, and ginger. Green tea and udihindi were the most consumed medicinal and aromatic plants per month. According to logit regression analysis results;age, duration of use, price, benefit, side effect, access to the chemical, additive, and hope variables increased the consumption of medicinal and aromatic plants and the likelihood of purchasing during the pandemic. It is thought that consumption of MAPs will become widespread and increase during the pandemic.
Melanoma Recognition and Lesion Segmentation using Multi-Instance Learning

Melanoma is one of the deadliest forms of skin cancer, but early and accurate identification can significantly improve the survival rate of patients. In this paper, an end-to-end framework based on multi-instance learning is proposed for melanoma recognition and lesion segmentation simultaneously. To make full use from the information of high-resolution images, we take each image block (super-pixel) as an instance in a bag and use multi-instance learning based on a graph convolutional network to recognize melanoma. Moreover, skin lesion segmentation is derived from attention weights and is calibrated by classification probability vectors. As a result, the AUC of our method for melanoma recognition reaches 0.93, which is much higher compared with other related methods. Also, the Jaccard index (JA) of our method for melanoma-related skin lesion segmentation reaches 0.699. In our end-to-end approach, segmentation and recognition are treated as intimately coupled processes, and hence, a high JA is also an indication of the reliability of melanoma recognition. Collectively, these findings confirmed that our method effectively assists melanoma diagnosis.
An aid in the teaching of multilevel inverters for high power applications

Multilevel inverters represent a high potential for realization of high power controllable conversion systems of different nature-rectifiers, inverters, high power amplifiers, etc. From the even more applied three-level inverter to the multiple AC stages VSI, different topologies are applied, with an increasing quantity of possible levels. Usually, the theory of multilevel inverters is presented with different definitions of the number of levels. The contribution gives some logic definitions on basic schemes, and presents the various versions of the technique of one and multiple-phase multilevel inverter systems. <<ETX>>
Anti‐swing control and trajectory planning of quadrotor suspended payload system with variable length cable

Different from the quadrotor suspended payload system with fixed length cable, the system with variable length cable can load and unload cargoes more efficiently under many conditions. This paper presents a method of modeling, control, and trajectory planning for a quadrotor suspended payload system with variable length cable. In order to effectively reduce the swing of the slung payload under the quadrotor, a coupled dynamic model and an integral backstepping control scheme for the system are designed, and a basic trajectory planning is carried out. The presented coupled dynamic model is composed of two parts, one is the dynamic equation of the quadrotor with payload pull, and the other is the dynamic model of the payload pendulum angles with variable length cable related with quadrotor flight acceleration. Meanwhile, the interaction forces between them are calculated. Based on the coupled dynamic model of the system, a cascade control scheme with trajectory planning is designed. The attitude and position control loop of the system adopt the integral backstepping algorithm to solve the reliable flight of quadrotor with slung payload. At the same time, the flight trajectories are generated by trajectory planning as the reference input of the control system, which can further reduce the payload swing. Simulation results show that the proposed scheme can realize stable and reliable flight of the quadrotor and limit the pendulum angles within the desired range to reduce the payload swing.
Organic electronic pulse generator

A simple electronic pulse generator based on an organic switch, a device made of poly(5-amino-1-naphthol) between silver contacts is demonstrated. Under a constant applied voltage the circuit oscillates, producing current pulses at a frequency that can be controlled, depending on the resistance and capacitance of circuit elements.
Reverse compilation techniques

Techniques for writing reverse compilers or decompilers are presented in this thesis. These techniques are based on compiler and optimization theory, and are applied to decompilation in a unique way; these techniques have never before been published. A decompiler is composed of several phases which are grouped into modules dependent on language or machine features. The front-end is a machine dependent module that parses the binary program, analyzes the semantics of the instructions in the program, and generates an intermediate low-level representation of the program, as well as a control flow graph of each subroutine. The universal decompiling machine is a language and machine independent module that analyzes the low-level intermediate code and transforms it into a high-level representation available in any high-level language, and analyzes the structure of the control flow graph(s) and transform them into graphs that make use of high-level control structures. Finally, the back-end is a target language dependent module that generates code for the target language. Decompilation is a process that involves the use of tools to load the binary program into memory, parse or disassemble such a program, and decompile or analyze the program to generate a high-level language program. This process benefits from compiler and library signatures to recognize particular compilers and library subroutines. Whenever a compiler signature is recognized in the binary program, all compiler start-up and library subroutines are not decompiled; in the former case, the routines are eliminated from the final target program and the entry point to the main program is used for the decompiler analysis, in the latter case the subroutines are replaced by their library name. The presented techniques were implemented in a prototype decompiler for the Intel i80286 architecture running under the DOS operating system, dcc, which produces target C programs for source . exe or . com files. Sample decompiled programs, comparisons against the initial high-level language program, and an analysis of results is presented in Chapter 9. Chapter 1 gives an introduction to decompilation from a compiler point of view, Chapter 2 gives an overview of the history of decompilation since its appearance in the early 1960s, Chapter 3 presents the relations between the static binary code of the source binary program and the actions performed at run-time to implement the program, Chapter 4 describes the phases of the front-end module, Chapter 5 defines data optimization techniques to analyze the intermediate code and transform it into a higher-representation, Chapter 6 defines control structure transformation techniques to analyze the structure of the control flow graph and transform it into a graph of high-level control structures, Chapter 7 describes the back-end module, Chapter 8 presents the decompilation tool programs, Chapter 9 gives an overview of the implementation of dcc and the results obtained, and Chapter 10 gives the conclusions and future work of this research.
Formulation of normal form equations of nonlinear networks containing memristors and coupled elements

This paper presents a variety of sufficient conditions for the existence of a set of normal form equations of a connected nonseparable RLCM network, which may contain coupled elements. An RLCM network is defined as a network containing independent (but not necessarily time-independent) current and voltage sources, nonlinear time-invariant resistors, inductors, capacitors, and memristors. Via an example, this paper shows that the class of networks under consideration, in fact, includes networks containing multiterminal network elements and controlled sources.
Relation between surface impedance and bandwidth of hard surface

Shows that the bandwidth of a hard surface is always inversely proportional to the diameter of the guiding structure. This seems to be a general relation that is independent of the way the hard surface has been realised. The corresponding relation for an open hard surface seems to be that the bandwidth is inversely proportional to the length of it. These two relations limit applications of the hard surfaces to structures that have small such critical dimensions. Such applications of hard surfaces with small critical dimensions have been experimentally verified and show reasonable bandwidths (10-2046). The present study has also shown that the bandwidth can be improved if materials with high wave impedances are used to realise the hard surface. Finally, it is mentioned that the hard strut can represent a useable model in order to experimentally test different realisations of hard surfaces. Theoretical searches for such surfaces can be done with computer codes that can model plane wave reflection from arbitrary single or double periodic surfaces. The paper considers the frequency characteristics of the hard surfaces when the surface is applied for horn antennas and waveguides.
Model for Power Cycling lifetime of IGBT Modules - various factors influencing lifetime

A large number of power cycling data from different IGBT module generations and test conditions have been evaluated. Multiple regression with respect to the variables temperature swing DeltaTJ, TJ, power-on-time (ton), chip thickness, bonding technology, diameter (D) of bonding wire, current per wire bond (I) and package type was performed. It provided parameters for a new empirical model describing number of power cycles (Nf) in relation to these variables. For a fixed module technology and blocking voltage class, the set of variables have been restricted to DeltaTJ, TJ, ton and I as the factors influencing the number of cycles to failure. The model is used to estimate the power cycling capability for the new generation of 1200V-IGBT4 Modules, which are rated up to a junction temperature of 150deg C in operation.
In situ damage classification for composite laminates using Gaussian discriminant analysis

An investigation was performed to develop a damage classification method to characterize sensor data from built-in piezoelectric actuators on laminated composites in terms of matrix micro-cracking and delamination. Traditional signal processing techniques (time-domain analysis and short-time Fourier transform) combined with Gaussian discriminant analysis were proposed to characterize damage in composite plates in this study. Composite coupons of different layup configurations with surfaced mounted arrays of piezoelectric actuators and sensors were subjected to cyclic loading to induce matrix micro-cracking and delamination. Sensor data as well as X-ray images were acquired through the coupon’s life. These experimental data were used to train a classifier as well as test the performance and robustness of the learned model. Classification performance was measured via 75–25 holdout and leave-one-sample-out cross-validation. Results show that the proposed method has a misclassification rate of 21%, with high precision and recall values, and it is sensitive to layup configuration.