Miracle-dz/UniFAR-FTUs huggingface dataset:
An Exploration of Interactive Wayfinding Displays in Hospitals: Lessons Learned for Improving Design

This research examined the usability and effectiveness of three large hospitals’ wayfinding interfaces. Participants recruited from three hospitals completed various tasks using the wayfinding interface. Errors and issues consistently observed were organized and developed into insights and recommendations, such as classifying information according to user expectations, including a universal search, minimizing unnecessary on-screen information, adhering to platform standards, presenting visual aids effectively, orienting navigation information effectively, and providing relevant environmental cues. Results from this paper will help inform researchers and designers to develop necessary guidelines when creating and iterating wayfinding interfaces, both in large multi-building hospitals and similar settings.
Hourly Day-Ahead Wind Power Prediction Using the Hybrid Model of Variational Model Decomposition and Long Short-Term Memory

A more accurate hourly prediction of day-ahead wind power can effectively reduce the uncertainty of wind power integration and improve the competitiveness of wind power in power auction markets. However, due to the inherent stochastic and intermittent nature of wind energy, it is very difficult to sharply improve the multi-step wind power forecasting (WPF) accuracy. According to theory of direct and recursive multi-step prediction, this study firstly proposes the models of R (recursive)-VMD (variational model decomposition)-LSTM (long short-term memory) and D (direct)-VMD-LSTM for the hourly forecast of day-ahead wind power by using a combination of a novel and in-depth neural network forecasting model called LSTM and the variational model decomposition (VMD) technique. The data from these model tests were obtained from two real-world wind power series from a wind farm located in Henan, China. The experimental results show that LSTM can achieve more precise predictions than traditional neural networks, and that VMD has a good self-adaptive ability to remove the stochastic volatility and retain more adequate data information than empirical mode decomposition (EMD). Secondly, the R-VMD-LSTM and D-VMD-LSTM are comparatively studied to analyze the accuracy of each step. The results verify the effectiveness of the combination of the two models: The R-VMD-LSTM model provides a more accurate prediction at the beginning of a day, while the D-VMD-LSTM model provides a more accurate prediction at the end of a day.
Design and Implementation of Fourth Arm for Elimination of Bearing Current in NPC-MLI-Fed Induction Motor Drive

The exploration result of an increase in power electronics converter-based variable-speed drives for industrial applications reveals the impact of inverter-induced bearing current on the prevailing electric machine failure. The bearing current associated with drive systems is concerned about operating frequencies of the solid-state semiconductor switches, which may cause the electrostatic charge between stator and rotor, which eventually causes damage to windings and bearings. The various techniques comprised in the literature to suppress bearing currents are filter design, switching redundancy, common-mode circuitry, isolated grounding scheme, and grounding the motor shaft. From the literature, the pulse-width modulation inverter-injected common-mode voltage (CMV) is the main source of common-mode current, which causes the bearing current. Hence, the elimination of CMV paves the way for eliminating bearing current of the machine. This paper presents an innovative solution to suppress bearing currents by aiding a fourth arm circuitry to acquire near to zero potential (zero CMV) at machine neutral point. All the proposed circuitry and algorithm are simulated using MATLAB/Simulink and validation is done through a 2.5-kW neutral-point-clamped-multilevel inverter laboratory prototype using a Xilinx family SPARTAN-III-3A XC3SD1800A-FG676 digital signal processor-field programmable gate array board.
Débruitage par seuillage des coefficients d'ondelettes

Des travaux sur l’une des applications de la transformee en ondelettes dans le domaine du traitement d’images ont ete effectues en utilisant le seuillage des coefficients d’ondelettes. Ce travail contient des elements concernant les bases d’ondelettes et une application de la transformee en ondelettes « le debruitage par seuillage des coefficients d’ondelettes ». Les images peuvent etre contaminees par des bruits de differentes origines durant leur acquisition ou leur transmission, d’ou la degradation de leurs qualites. En utilisant le processus de debruitage par seuillage des coefficients d’ondelettes par seuillage dur ou par seuillage doux des coefficients d’ondelettes et avec un bon choix du seuil et de l’ondelette utilises, on arrive a apercevoir des informations dans une image bruitee. Les mesures utilisees pour evaluer la qualite de l’image debruitee sont le PSNR (Peak Signal to Noise Ratio) et l’indice de similarite structurelle SSIM (structural similarity). En debruitant une image bruitee avec un bruit d’ecart type = 300, avec l’utilisation du seuil verifiant et l’ondelette de Haar, on obtient un PSNR de 15.3582 et de SSIM de 0.30967.
High-Speed AFM Imaging of Nanopositioning Stages Using H$_{\infty }$ and Iterative Learning Control

This paper presents a method that combines a robust controller (H<inline-formula><tex-math notation="LaTeX">$_{\infty }$</tex-math></inline-formula>) and an iterative learning controller (ILC) to control a low mechanical bandwidth nanopositioning stage for high-speed atomic force microscopy imaging. In conventional scanning configurations, the imaging speed of a low-resonance frequency scanner is limited to a few Hz. However, the images obtained using the proposed method have no obvious anamorphosis with a scan speed of up to 80 Hz. This method uses a sinusoidal scanning mode in the fast-scan axis, which effectively reduces the mechanical vibration of the <italic>XY</italic>-scanner and improves the imaging bandwidth. In addition, a compact high-bandwidth <italic>Z</italic>-scanner configured with a symmetrical dual-actuator was developed to replace the <italic>Z</italic>-axis of the nanopositioning stage for high-speed tracking of the sample topography. To further improve the imaging performance, an ILC is designed to suppress the nonlinear behavior of piezoelectric and reduce the tracking error. In addition, a model-based H<inline-formula><tex-math notation="LaTeX">$_{\infty }$</tex-math></inline-formula> is designed to reduce the measurement error and enhance the image quality. All algorithms and real-time control are implemented with a field-programmable gate array platform. The experimental results demonstrated that these configurations exhibit significant performance improvements by comparison with conventional scanning modes.
A Gamefied Synthetic Environment for Evaluation of Counter-Disinformation Solutions

This paper presents a simulation-based approach to developing strategies aimed at countering online disin-formation and misinformation. This disruptive technology experiment incorporated a synthetic environment component, based on an adapted Susceptible-Infected-Recovered (SIR) epidemiological model to evaluate and visualize the effectiveness of suggested solutions to the issue. The participants in the simulation were given two realistic scenarios depicting a disinformation threat and were asked to select a number of solutions, described in Ideas-of-Systems (IoS) cards. During the event, the qualitative and quantitative characteristics of the IoS cards were tested in a synthetic environment, built after a SIR model. The participants, divided into teams, presented and justified their strategy which included three IoS card selections. A jury of subject matter experts, announced the winning team, based on the merits of the proposed strategies and the compatibility of the different cards, grouped together.
A distributed parameter electromechanical model for bimorph piezoelectric energy harvesters based on the refined zigzag theory

In this paper, a distributed parameter electromechanical model for bimorph piezoelectric energy harvesters based on the refined zigzag theory (RZT) is developed. In this model, the zigzag function is incorporated into the axial displacement, and the zigzag distribution of the displacement between the adjacent layers of the bimorph structure can be considered. The governing equations, including three equations of motions and one equation of circuit, are derived using Hamilton’s principle. The natural frequency, its corresponding modal function and the steady state response of the base excitation motion are given in exact forms. The presented results are benchmarked with the finite element method and two beam theories, the first-order shear deformation theory and the classical beam theory. Comparing examples shows that the RZT provides predictions of output voltage and generated power at high accuracy, especially for the case of a soft middle layer. Variation of the parameters, such as the beam thickness, excitation frequencies and the external electrical loads, is investigated and its effects on the performance of the energy harvesters are studied by using the RZT developed in this paper. Based on this refined theory, analysts and engineers can capture more details on the electromechanical behavior of piezoelectric harvesters.
The regulations of early stages of endoplasmic reticulum inheritance in ER stress.

The endoplasmic reticulum (ER) is one of the largest cytoplasmic organelles in eukaryotic cells and plays a role in many cellular processes, such as the production and quality control of secretory protein, lipid synthesis and calcium homeostasis. The ER cannot be generated de novo and thus, its proper inheritance during cell division is paramount to the health and survival of the daughter cell. Although previous work has uncovered the cytoskeletal components involved, we still lack comprehensive understanding of the intricate steps of and the cytoplasmic and membrane-bound components involved in ER inheritance. To directly address these issues, we utilized microfluidics and genetic analyses to show that prior to nuclear migration, early ER inheritance can be further segregated into three distinctive steps. Moreover, we demonstrated that perturbing each of these steps affect the cell’s ability to mitigate ER stress. Thus, proper ER inheritance is essential to ensuring a healthy, functional cell.
Future of IoT Networks: A Survey

The introduction of mobile devices has changed our daily lives. They enable users to obtain information even in a nomadic environment and provide information without limitations. A decade after the introduction of this technology, we are now facing the next innovation that will change our daily lives. With the introduction of the Internet of Things (IoT), our communication ability will not be restricted to only mobile devices. Rather, it will expand to all things with which we coexist. Many studies have discussed IoT-related services and platforms. However, there are only limited discussions about the IoT network. In this paper, we will thoroughly analyze the technical details about the IoT network. Based on our survey of papers, we will provide insight about the future IoT network and the crucial components that will enable it.
Accuracy of aging kit foxes using cementum annuli analysis

Determining the age of individual wild canids that are older than one year is challenging. Cementum annuli analysis is considered the most accurate technique for determining age in mammals. We compared age estimated by cementum annuli analysis to actual age for 62 kit foxes ( Vulpes macrotis ) of known age collected at the Naval Petroleum Reserves in California. The cementum annuli analysis was conducted by Matson’s Laboratory. The estimated age matched the actual age for 82.3% of the samples. No estimate deviated from the actual age by more than one year. The proportion of foxes aged correctly was significantly higher for foxes ≤ 1 year old (89.4%) compared to foxes ≥ 2 years old (53.8%). A higher proportion of foxes aged incorrectly died within 0.1 year of their birth date (63.6%) compared to foxes dying > 0.1 year of their birth date (3.4%). Nine of 11 foxes aged incorrectly were females indicating a potential sex bias in
A Linear-Array Receiver Analog Front-End Circuit for Rotating Scanner LiDAR Application

A linear-array receiver analog front-end (AFE) circuit, which mainly consists of 16 transimpedance amplifiers (TIAs), is presented for pulsed time-of-flight (TOF) rotating scanner light detection and ranging (LiDAR) application. In particular, a single-channel TIA with a novel cascaded combination consists of a transimpedance preamplifier biased by a power supply of 1.8 V, a post amplifier (PA), and an output buffer (OB) with a 3.3-V power supply, aiming to lower the parasitic capacitance of the input stage and widen the output swing range, respectively. Meanwhile, the input-referred noise current is investigated to evaluate the detecting capability for the weak pulse current, and the crosstalk reduction schemes in circuit design and layout design are presented for the proposed AFE circuit. The proposed AFE circuit, which achieves a high gain of 100 dB<inline-formula> <tex-math notation="LaTeX">${\Omega }$ </tex-math></inline-formula>, a low gain of 60 dB<inline-formula> <tex-math notation="LaTeX">${\Omega }$ </tex-math></inline-formula>, a simulated transimpedance gain bandwidth of approximately 450 MHz, an equivalent input-referred noise current of 2.59 pA/Hz<sup>0.5</sup>, a signal-to-crosstalk ratio of 40.1 dB between adjacent channels, and a minimum detectable signal of <inline-formula> <tex-math notation="LaTeX">$2.5~{\mu }\text{A}$ </tex-math></inline-formula> at SNR = 5, was fabricated in a 0.18-<inline-formula> <tex-math notation="LaTeX">${\mu }\text{m}$ </tex-math></inline-formula> standard CMOS technology. The total area of AFE circuit, which includes the circuit core, bandgap and bias circuits, and I/O PAD, is approximately equal to <inline-formula> <tex-math notation="LaTeX">${4.80}\times {0.85}$ </tex-math></inline-formula> mm<sup>2</sup>.
Letter to the editor

We and their ap-preciate the opportunity to respond. They highlight a very important issue pertaining to clinical trial design: identiﬁcation of an appropriate target population best suited to establish interven-tional efﬁcacy. While some would argue that patient recruitment should be restricted as little as possible, others maintain that tight sampling characteristics reduce variance and improve study dis-crimination. Both philosophies have merit; however, in the latter approach lies risk that study results may not be generalized to a ‘real-world’ population.
Hochschild Cohomology and Twisted Complexes on Complex Manifolds

We use the theory of twisted resolutions and twisted complexes to give a proof of Kontsevich's claim that Yoneda product corresponds to cup product in a canonical isomorphism from the Ext groups of the product space with coefficients in the diagonal sheaf to the cohomology with coefficients in exterior powers of the tangent sheaf.
The sustainability of adobe construction: past to future

ABSTRACT The Earth construction is the oldest building practice on the world. Around 30% of the world population lives in buildings made of earth materials. These materials offer economic and environmental benefits, because of that the interest of these types of construction are being increased. The practice of earth construction is predominant in less developed countries, where lack of advanced technology and often the availability of labor and local materials encourage the use of these building techniques that are quite simple. Nowadays, most of the earth buildings, both in Portugal and in the other countries are in a high stage of degradation. However, the interest of preservation of these buildings is increased. So, this works pretends a global vision of the earth construction on the past, and a new look at these materials in the future. It is important developed new materials similar to these ones, with economic and environmental benefits, and which are compatible for interventions in these same old buildings. A new generation of materials, are geopolymers, these materials are alkaline activated and because of their properties as well as their ecological footprint they are promising to be a “kind” of materials that will follow the line of materials on land.
Enhancing Employee Engagement through Leadership Styles: A Literature Overview

Leadership is an art of leading a team. Leader acts as a bridge between management and team members. Employees have been a real concern for an organisation in the path of increasing their efficiency level and productivity. Employee engagement plays an eminent role in enriching an organisation’s growth. Leadership styles are directly related with employee engagement. The style a leader adapts that affects an individual’s outcome and satisfaction. This paper is purely conceptual in nature. It tries to review the relationship established between employee engagement and leadership styles. It identifies various drivers affecting the employee engagement. This paper tries to explore and identify various dimensions in employee engagement and leadership styles.
Classification of Encouragement (Targhib) And Warning (Tarhib) Using Sentiment Analysis on Classical Arabic

The Holy Qur’an is the main religious text of Islam. The Qur’an has its own methods of Targhib (encouragement) and Tarhib (warning), which are important features of the Qur’an. Most of the Quranic verses would urge and encourage people to do right and good deeds, and also warn them from committing evil and bad deeds. The method of classifying a text into two opposing opinions has been applied previously in solving the problem of sentiment analysis. Currently, it is applied in identifying between Targhib (encouragement) and Tarhib (warning) verses in the Qur’an. Each verse of the Qur’an can be treated as either an encouragement, warning or neutral. The language of the Holy Qur’an is one of the most challenging natural languages in sentiment analysis. The aim of this work is to classify the verses of encouragement and warning using sentiment analysis and NLP techniques. Several approaches are used in the Sentiment Analysis classification, such as the machine learning approach, the lexicon-based approach and the hybrid approach. In carrying out this aim, the applied machine learning approach was used, where the impact of the use of different techniques such as POS tagging, N-Gram and Feature selection with correlation based were evaluated and investigated. 95.6% accuracy was achieved using Naive Bayes (NB) and 91.5% accuracy was achieved using the Support Vector Machines (SVM). This study is a significant study in extracting information and knowledge from the Holy Qur’an. It is significant for both researchers in the field of Islamic studies as well as non-specialized researchers.
Mise en correspondance semi-dense de points de vue éloignés et non calibrés

This article proposes a general semi-dense matching method between two uncalibrated wide-baseline colour images. After initialising the epipolar geometry and matches thank to SIFT image descriptor, the epipolar constraint is recursively tightened in order to refine the matches. At the end of this iterative process, an affine correlation based densification step allows to obtain between 1733 and 10717 matches between two images of resolution included between 800x600 and 1024x768. The whole process runs in around 2 minutes on a 3GHz cadenced Pentium IV computer, without any code optimisation.
IDENTIFICATION AND PREDICTION OF RECIPE USING DEEP LEARNING MODEL

: People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation process. Therefore, in this paper we introduce an inverse cooking system that recreates cooking recipes given food images. Our system predicts ingredients as sets by means of a novel architecture, modeling their dependencies without imposing any order, and then generates cooking instructions by attending to both image and its inferred ingredients simultaneously. We extensively evaluate the whole system on the large-scale Recipe1M dataset and show that (1) we improve performance w
Nonfinitizability of classes of representable cylindric algebras

Cylindric algebras were introduced by Alfred Tarski about 1952 to provide an algebraic analysis of (first-order) predicate logic. With each cylindric algebra one can, in fact, associate a certain, in general infinitary, predicate logic; for locally finite cylindric algebras of infinite dimension the associated predicate logics are finitary. As with Boolean algebras and sentential logic, the algebraic counterpart of completeness is representability. Tarski proved the fundamental result that every locally finite cylindric algebra of infinite dimension is representable.
Re-Plannable Automated Parking System With a Standalone Around View Monitor for Narrow Parking Lots

An automated parking system allows drivers to park cars free of stress and collisions in parking lots. Most commercial systems use ultrasonic sensors and require a scanning process to search for a vacant parking space between two adjacent vehicles. If automated parking fails, drivers must return to the initial position for further scanning or take the steering wheel to complete the remaining parking procedure. To improve such limitations, we propose a re-plannable automated parking system with a standalone around view monitor. The proposed system can constantly reflect several errors and risks of perception, positioning, and control in real-life situations, and then re-generate the parking path to improve the parking precision and avoid any collisions. To realize this automated parking system, we propose a new system architecture and introduce four core modules: environmental perception, precise positioning, parking path planning, and vehicle control. In our experiments, we evaluated the system in narrow parking lots with a perpendicular parking space defined as $2.1 \times 5.0$ m. The proposed system successfully performed reverse automated parking with a lateral error of 0.049 m, a longitudinal error of 0.249 m, and a heading error of 0.468°.