Miracle-dz/UniFAR-FTUs huggingface dataset:
A Structural Design and Decoupling Method of a Flexible Capacitive Pressure Sensor for Measuring Spatial Force

This article focuses on the spatial force decoupling method of specially designed flexible capacitive structures. In previous work, multidimensional force decoupling was mostly understood as decouple the force along the three reference axes of <inline-formula> <tex-math notation="LaTeX">${x}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">${y}$ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">${z}$ </tex-math></inline-formula>, but the multidimensional force decoupled in this article includes any angle in 3-D space, which we called space force. It was found that the capacitance of the pressure sensor is mainly affected by the opposite area and the distance between the electrodes, which can all be attributed to the variations of the displacement within the space of the four capacitors; more specifically, spatial forces are the main cause of displacement variations. Thus, the decoupling method can be abstracted into a mechanical model, from which the main elements of the force can be obtained. The designed capacitor as a whole is obtained one time by casting and curing the elastic material polydimethylsiloxane (PDMS) on a mold. The structure constitutes four capacitive sensors with air as the dielectric layer and copper sheets as the electrodes. The analysis of capacitance values in simulated data and the multicapacitor test platform built in the experiment not only verified the rationality of the calculation, but also measured that the sensitivity of the sensor is 0.00192, and the response time is 75 ms. Compared with the actual value, the calculated <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">${F}$ </tex-math></inline-formula> value errors are 0.18°, 0.3°, and 0.025 N, respectively, which provide some insight into the application of sensors that decouple spatial forces.
Military Expenditure and Unemployment Nexus in Bangladesh

The purpose of this study is to investigate the impact of military expenditure on unemployment in Bangladesh, examining the cointegration among unemployment, military expenditure, and foreign direct investment. It also sheds light on the short and longrun dynamics of the variables under consideration. The study employs the ARDL bounds testing approach to investigate the cointegration among the variables using time series annual data from the period of 1990-2018. The dependant variable is unemployment and military expenditure and FDI are the independent variables. Thisresearch found a long run relationship among the variables. An increase in military expenditure significantly reduces unemployment in the short run, however, no significant long-run relationship is found. The higher FDI, the higher unemployment in the long run. This study contributes to fill the research gap regarding theimpact of military expenditure and FDI on unemployment. To the best of our knowledge, this is the first study to examine the relationship among unemployment, military expenditure and FDI in Bangladesh using ARDL bounds testing approach with time series annual data.
A Study on Yeast Using the Photoreactivation Process to Repair the Pyrimidine Dimer Mutations

Sunlight has an indispensable importance for living things in nature [1-3]. However, the direct absorption of UV will lead to the formation of pyrimidine dimers between adjacent pyrimidines in DNA strands usually in the form of cyclobutene pyrimidine dimers (CPDs) and pyrimidine (6-4) pyrimidone photoproducts (6-4PPs) which causes great damage [4-6]. A DNA repair system, known as photoreactivation, can effectively repair the dimers using photolyase [7-9], which has currently been found in plants, prokaryotic and eukaryotic cells [10-12]. This study was carried out to determine whether photolyase DNA repair can be observed in yeast. Several yeast Petri dishes were treated with ultraviolet radiation, different treatments were then added to them, and the colonies were counted after culturing, hence verifying that yeasts can use the photoreactivation process.
The Reality of Tense

philosophical jargon are called “Tenses”. To claim that Tenses are real is to claim that they are satisfied, i.e. that something in fact possesses them. The debate between realists and antirealists concerning Tense has so far been conducted in ontological terms. Realists about Tense (so-called A-theorists) claim that things really do have Tenses, antirealists (Btheorists) deny this. Most of them claim that Tenses can be reduced to tenseless properties. This book criticises the current debate between A-theorists like Quentin Smith and B-theorists like D. H. Mellor on methodological grounds. It suggests an alternative strategy for how the debate might proceed, where insights from other kinds of realism-debates are made useful for the debate about Tense. This book makes the original attempt to apply two general frameworks for realism-debates, developed by Michael Dummett and Crispin Wright, to the debate about Tense. Here the focus lies on the correct interpretation of the truth-predicate for statements of the disputed kind. The aim of this publication is to show that the debate about the reality of Tense should be reinterpreted as a debate about the truth and semantics of statements which ascribe Tenses.
State-sensitive event-triggered path following control of autonomous ground vehicles

This paper investigates an improved event-triggered control based on the perception of state measurement for path following control of autonomous ground vehicles. Firstly, in order to regulate the event-triggered thresholds dynamically, a barrier-like function is first used to develop such a novel state-sensitive event-triggered communication (SS-ETC) scheme. Different from the existing variable-threshold ETC schemes, the proposed SS-ETC incorporates the state measurements directly in the event threshold adjustment, eliminating the need for additional terms or dynamics introduced in previous works. Secondly, the networked path following control modeling issues, which include both physical dynamics and the SS-ETC scheme, are characterized by the input delay approach. The controller design method is well derived, ensuring the preservation of input-to-state stability of the path following control system. The main advantage of this paper lies in the proposed SS-ETC, which shows a better trade-off between control and communication. Finally, several simulation experiments are conducted to verify the effectiveness of the proposed event-triggered control scheme.
Car Dependency and Urban Form

In this editorial of the thematic issue on car dependency and urban form, we provide a concise bibliometric overview that examines the prevalence of the concept of car dependency in relation to the built environment. Furthermore, we delve into the prior call for papers and analyse how the various contributions align with the theme. Subsequently, we present an inclusive review of the 11 distinct contributions, employing a classification framework encompassing micro, meso, and macro perspectives. To conclude, we reflect briefly on the utility of the concepts of being car-less versus car-free, and we contemplate the potential ramifications of fleet electrification on the ongoing discourse surrounding car dependency.
Assessment of the quality of the healing process in experimentally induced skin lesions treated with autologous platelet concentrate associated or unassociated with allogeneic mesenchymal stem cells: preliminary results in a large animal model

Regenerative medicine for the treatment of skin lesions is an innovative and rapidly developing field that aims to promote wound healing and restore the skin to its original condition before injury. Over the years, different topical treatments have been evaluated to improve skin wound healing and, among them, mesenchymal stem cells (MSCs) and platelet-rich plasma (PRP) have shown promising results for this purpose. This study sought to evaluate the quality of the healing process in experimentally induced full-thickness skin lesions treated with PRP associated or unassociated with MSCs in a sheep second intention wound healing model. After having surgically created full-thickness wounds on the back of three sheep, the wound healing process was assessed by performing clinical evaluations, histopathological examinations, and molecular analysis. Treated wounds showed a reduction of inflammation and contraction along with an increased re-epithelialization rate and better maturation of the granulation tissue compared to untreated lesions. In particular, the combined treatment regulated the expression of collagen types I and III resulting in a proper resolution of the granulation tissue contrary to what was observed in untreated wounds; moreover, it led to a better maturation and organization of skin adnexa and collagen fibers in the repaired skin compared to untreated and PRP-treated wounds. Overall, both treatments improved the wound healing process compared to untreated wounds. Wounds treated with PRP and MSCs showed a healing progression that qualitatively resembles a restitutio ad integrum of the repaired skin, showing features typical of a mature healthy dermis.
Development of distributed and decentralized intelligent transport systems in terms of digitalization

Intelligent Transport System (ITS) is one of the fastest growing areas of intelligent systems that improves road safety and fuel efficiency, reduces traffic congestion, refines the environmental situation of metropolitan cities. The main functions of the intelligent transportation system are real-time monitoring of road conditions in certain areas, location of road traffic incidents (RTI), dynamic monitoring and management of the continuous use of public transport services, as well as anything that can lead to changes in road traffic. In this article, the aforementioned ITS functionality is used as basic simulation scenarios for the development and implementation of an Intelligent Transport System based on the Internet of Things and blockchain technology. Both of these technologies have the inherent characteristics of a distributed technology, integrating IoT sensor nodes and distributed registry technology to register changes in Intelligent Transportation systems and create a credit token mechanism to pay for the use of road transport services. The Intelligent Transport System is a comprehensive intelligent system; it can significantly change and improve traffic conditions.
Enhancing Collaborative Filtering by User-User Covariance Matrix

The collaborative filtering (CF) approach is one of the most successful personalized recommendation methods so far, which is employed by the majority of personalized recommender systems to predict users’ preferences or interests. The basic idea of CF is that if users had the same interests in the past they will also have similar tastes in the future. In general, the traditional CF may suffer the following problems: (1) The recommendation quality of CF based system is greatly affected by the sparsity of data. (2) The traditional CF is relatively difficult to adapt the situation that users’ preferences always change over time. (3) CF based approaches are used to recommend similar items to a user ignoring the user’s demand for variety. In this paper, to solve the above problems we build a new user-user covariance matrix to replace the traditional CF’s user-user similarity matrix. Compared with the user-user similarity matrix, the user-user covariance matrix introduces the user-user covariance to finely describe the changing trends of users’ interests. Furthermore, we propose an enhancing collaborative filtering method based on the user-user covariance matrix. The experimental results show that the proposed method can significantly improve the diversity of recommendation results and ensure the good recommendation precision.
Application of Chitosan/Poly(vinyl alcohol) Stabilized Copper Film Materials for the Borylation of α, β-Unsaturated Ketones, Morita-Baylis-Hillman Alcohols and Esters in Aqueous Phase

A chitosan/poly(vinyl alcohol)-stabilized copper nanoparticle (CP@Cu NPs) was used as a heterogeneous catalyst for the borylation of α, β-unsaturated ketones, MBH alcohols, and MBH esters in mild conditions. This catalyst not only demonstrated remarkable efficiency in synthesizing organoboron compounds but also still maintained excellent reactivity and stability even after seven recycled uses of the catalyst. This methodology provides a gentle and efficient approach to synthesize the organoboron compounds by efficiently constructing carbon–boron bonds.
Robustifying Model Fitting

A robust method for fitting a model from a parametric family is fundamental to effective statistical analysis. A procedure is given for robustifying any model fitting process by using weights from the family from which the model is to be chosen. The weighting reduces the influence of information that is not compatible with the model family, while maintaining the basic structure of a familiar model fitting process. The procedure produces a parametric family of model fitting functions. The value of the parameter determines the degree to which the weighting influences the robustified model fit. A mechanism for determining an appropriate value for the parameter is described.
Carfilzomib-induced life-threatening lung injury in refractory multiple myeloma

Introduction Carfilzomib is a second-generation selective proteasome inhibitor that is commonly used in the treatment of relapsed or refractory multiple myeloma. Carfilzomib is associated with respiratory side effects, such as cough, dyspnea, and upper respiratory tract infection. However, severe pulmonary toxicity is rare and is only reported in a few case reports. Case report Here, we present a case of a 65-year-old male with refractory multiple myeloma who developed a life-threatening lung injury during his third cycle of carfilzomib. The patient presented with a decreased level of consciousness and was found to have Type I respiratory failure. He was admitted to the intensive care unit, where he was intubated. Blood cultures and viral panel were negative. The patient received a prolonged course of antibiotics with 2 days of hydrocortisone. Management and outcomes After discharge, repeated myeloma workup showed disease progression and carfilzomib was reintroduced. The next day, he presented with fever, vomiting, and hypoxia. Chest x-ray showed congestive lung changes with patchy airspace opacities. Repeated echocardiography showed normal ejection fraction with moderate pulmonary hypertension (RVSP 46 mm Hg). The patient was transferred again to the ICU and kept on continuous positive airway pressure. Antibiotics were started, and blood cultures and respiratory viral panels were negative for any infectious organism. The patient improved in terms of inflammatory markers and oxygen requirements. Treatment with carfilzomib was stopped permanently. Discussion Pulmonary toxicity associated with carfilzomib in patients with multiple myeloma can be potentially life-threatening. The mechanism with which carfilzomib induces lung-related AEs is still not fully understood. In our patient, carfilzomib-induced lung injury was evident after rechallenging the patient with carfilzomib, in the radiographic x-ray changes and the new onset moderate pulmonary hypertension. Healthcare providers should be encouraged to report rare adverse events in order to identify the risk factors that can predispose patients to the development of these adverse events.
Pemberi Makan Ikan dan Pengurasan Otomatis pada Akuarium berbasis IoT

Hal utama dalam merawat ikan adalah pemberian makan yang teratur dan menjaga kualitas kebersihan air agar ikan dapat hidup dengan sehat. Merawat ikan saat ini dengan cara memberi makan ikan dilokasi tempat akuarium berada dan mengurasnya ketika air sudah terlihat keruh. Oleh karena itu proyek ini bertujuan untuk menggantikan cara merawat ikan dengan sistem otomatis yang dapat dipantau dari jarak jauh. Sistem otomatis menggunakan Wemos D1 mini terintegrasi ESP8266 sebagai mikrokontroler yang digunakan untuk membaca tingkat kekeruhan air, persediaan makanan ikan, dan tingkat air dalam akuarium. Sistem membutuhkan jaringan wifi untuk koneksi ke internet agar alat dapat bekerja dengan baik. Pemantauan kondisi akuarium dapat dilihat pada LCD 16x2 dan aplikasi mobile yang dapat memberikan notifikasi. Kata Kunci — pemberi makan ikan otomatis, pengurasan akuarium otomatis, aplikasi android, ESP8266, IoT
A Study and Analysis of the Relationship between Visual—Auditory Logos and Consumer Behavior

Given enterprises' participation in market competition and the development of sensory marketing, in addition to the traditional visual identity, some enterprises gradually begin to pay attention to auditory and then introduce sound design when designing logos. Audio-visual stimulation and media innovation are committed to creating positive attitudes among consumers. This study constructs a model of visual and auditory interactive relationships with consumer behavior using the SOR model. It tests the conceptual model and checks the hypotheses proposed in the study. This study summarizes and contributes to the visual and auditory interactive relationship between information integration, information synergy, mutual competition, and matching degree. It further proposes the influence of purchase intention and consumer support on consumer behavior of perceived brand perception, credibility, and quality perception. The results and highlights ensure brand identities reflect a significant positive result through consumer behavior. In this paper, we collected questionnaires from a random sample of 1407 respondents. We used regression analysis to test the association between visual and auditory interactive relationships as well as consumer behavior. We further verified the mediating role of consumer perception variables. Adding audiovisual logo design to the marketing process can be an effective way for companies and brands to attract customers and increase their support and purchase intentions.
A Sparsity Enforcing Framework with TVL1 Regularization and its Application in MR Imaging and Source Localization

The theme for this work is the development of fast numerical algorithms for sparse optimization as well as their applications in medical imaging and source localization using sensor array processing. Due to the recently proposed theory of Compressive Sensing (CS), the `1 minimization problem attracts more attention for its ability to exploit sparsity. Traditional interior point methods encounter difficulties in computation for solving the CS applications. In the first part of this work, a fast algorithm based on the augmented Lagrangian method for solving the large-scale TV-`1 regularized inverse problem is proposed. Specifically, by taking advantage of the separable structure, the original problem can be approximated via the sum of a series of simple functions with closed form solutions. A preconditioner for solving the block Toeplitz with Toeplitz block (BTTB) linear system is proposed to accelerate the computation. An in-depth discussion on the rate of convergence and the optimal parameter selection criteria is given. Numerical experiments are used to test the performance and the robustness of the proposed algorithm to a wide range of parameter values. Applications of the algorithm in magnetic resonance (MR) imaging and a comparison with other existing methods are included. The second part of this work is the application of the TV-`1 model in source localization using sensor arrays. The array output is reformulated into a sparse waveform via an over-complete basis and study the `p-norm properties in detecting the sparsity. An algorithm is proposed for minimizing a non-convex problem. According to the results of numerical experiments, the proposed algorithm with the aid of the `p-norm can resolve closely distributed sources with higher accuracy than other existing methods.
Non-normality and non-linearity in univariate standard models of inflation

The empirical evidences presented in a vast number of recent publications gave rise to debates in the literature regarding the problem of stationarity of inflation. Sometimes considered as a unit root process and sometimes as a stationary process, in most of the studies inflationary time series are modelled assuming normality and linearity. The present thesis relaxes the frequently used assumptions of linearity in price processes and normality in distribution of inflation, and suggests two ways of modelling inflationary data. Firstly, it is assumed that distribution of inflation is a stable Paretian distribution and, under this assumption, stationarity of inflation is examined applying an appropriate test. Secondly, price time series are modelled by treating them as a unit root bilinear process, which further leads to non-normality in distribution of inflation. A recently proposed test for presence of no-bilinearity is then applied. If bilinearity is detected, the bilinear coefficient is estimated by the Kalman filter method. Subsequently, the finite sample properties of this estimator are evaluated using Monte Carlo simulation experiments. A series of Monte Carlo simulations leads to calculating the /-statistic critical values for testing whether the estimated bilinear coefficients significantly differ from zero. The methodologies explained above are then applied to a large set of worldwide price and inflationary data for 107 different countries. Assuming that the distribution of inflation is a stable Paretian distribution 75% of the inflationary time series are classified as integrated of order zero. Under the assumption of normality of distribution of inflation this can be inferred for 11.11% of the inflationary time series. It has been also shown that 71.03% of the price time series exhibit unit root bilinearity. Analysis of the inflationary time series reveals the presence of bilinearity in 9.35% of them.
Defining the temperature range for cooking with extra virgin olive oil using Raman spectroscopy

Using the potential of Raman spectroscopy, new findings regarding the effects of heating on extra virgin olive oil (EVOO) during frying/cooking are presented. A temperature range from 140 to 150 °C has been defined within which EVOO can be used for cooking/frying without much loss of its natural molecular composition. Raman spectra from the EVOO samples were recorded using an excitation laser at 785 nm in the range from 540 to 1800 cm−1. Due to heating, prominent variations in intensity are observed at Raman bands from 540 to 770 cm−1, 790 to 1170 cm−1 and 1267 and 1302 cm−1. The Raman bands at 1267 and 1302 cm−1 represent cis unsaturated fats and their ratio is used to investigate the effects of temperature on the molecular composition of EVOO. In addition, principal component analysis has been applied on all the groups of data to classify the heated EVOO samples at different temperatures and for different times. In addition, it has been found that use of EVOO for frying twice does not have any prominent effect on its molecular composition.