Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in foreign ownership and innovation investment: the case of Korean corporate governance reforms

ABSTRACT The goal of this paper is to investigate how deregulating foreign equity ownership influences a firm’s innovation investment. We attempt to answer this question using data from 530 Korean manufacturing firms between 1998 and 2003 through generalised estimating equations. Our findings suggest that foreign ownership and R&D investment exhibit an inverted U-shaped relationship because the incentives to monitor managers’ decision-making processes initially play a greater role, but this role stagnates as the share owned by foreign investors becomes concentrated. In addition, we consider firm heterogeneity and observe the negative moderation effects of firm age and the positive moderation effects of growth opportunity.
MRI Brain Abnormality Detection Using Conventional Neural Network (CNN)

Brain tumours has huge heterogeneity and there is always a familiarity between normal and abnormal tissues and hence the extraction of tumour portions from normal images becomes persistent. In this paper, MRI brain tumor detection is performed from a brain images using Fuzzy C-means(FCM) algorithm and sebsequently Convolutional Neural Network(CNN) algorithm is employed. Here, firstly preprocessing step is performed by Skull Stripping algorithm followed by Segmentation process. Fuzzy C-means algorithm is used to segment the Cerebrospinal Fluid(CSF), Grey matter(GM) and White Matter(WM) from the database. The third part is to extract features to find whether the tumor is present or not, here eleven features are extracted like mean, entropy, S.D(Standard Deviation). The final part is the classification process done by Convolutional Neural Network(CNN) in which it is able to differentiate whether the input image is normal image or an abnormal image. Compared to other methods, here the values of the features extracted are higher for normal images than for abnormal Images and it is shown from the graphs drawn from the extracted features.
Understanding salt-tolerance and biota–stressor interactions in freshwater invertebrate communities

Salinity is increasing in many naturally fresh waters because of human activities, and there are concerns about the ecological effects of these increases. Salinity, as with any stressor, can affect organisms both directly and indirectly. In a previous study (Bray et al. 2019), we evaluated the relative importance of direct and indirect effects of increased salinity on stream invertebrates. Chessman (2021) criticised that study, claiming that the biotic treatments were confounded and did not directly test the hypotheses. Chessman (2021) also conducted a reanalysis of the data. We show through the analysis of new data that our biotic treatments were not confounded and that the conclusions made by Chessman (2021) were probably a consequence of the low statistical power of his analysis. Consequently, we argue that Chessman’s (2021) comments do not substantively alter the conclusions of our study, and we provide more evidence to support the conclusions of our previous publication. The study of biota–stressor interactions is increasingly relevant to a wide range of global ecosystems. There is a need to develop tractable experimental and survey designs that address these problems, and we identify further avenues for study of these complex issues.
Towards an Improvement of the SABIAN Humanoid Robot: from Design to Optimization

In this paper the humanoid robot SABIAN (Sant'Anna BIpedal humANo id) is presented and analyzed in details. In particular, the differences between the SABIAN plat form and the WABIAN-2 (WAseda BIpedal humANo id), its original Japanese version, are underlined. So me innovative solutions, as the exact calcu lation of the error mass and the adoption of a new shaft with incorporated joint used to transfer motion, allowed to improve the performances of the robot. Other works, such as the development of a harvesting system for recovering energy, are planned for the next future in order to optimize the platform.
British Public Service Broadcasting, the EU and Brexit

ABSTRACT This paper analyses the historic role of Britain's major public service broadcaster, the BBC, in reporting the European Union. To do this it combines a content analysis of two datasets of BBC broadcast and online coverage from 2007 and 2012 with a series of semi-structured interviews conducted with former and current senior BBC editors and journalists. The research finds that BBC coverage in the pre-referendum period was closely tied to major events – such as summits – and elite party conflict. These patterns in coverage were primarily a consequence of the lack of traditional news values inherent in most EU stories and the impact of the wider political and media landscape. The consequence of these patterns in coverage was to present audiences with a restricted, negative and largely conflictual picture of Britain's relationship with the EU which is likely to have fuelled rather than inhibited the growth of Euroscepticism.
Prediction-based Deadbeat Control for Grid-connected Inverter with L-filter and LCL-filter

Abstract—In this article, an improved deadbeat control algorithm suitable for digital signal processor-based circuit implementation is proposed. The control algorithm allows the derivation of a nearly sine wave output current with a fixed switching frequency of a current-controlled voltage source inverter. Two low-pass output filters configurations are considered in this study: a simple inductance filter and an LCL-filter. By taking advantage of prior knowledge of the state variables’ shape, the improved deadbeat control algorithm is based on a simple prediction model to derive the expected duty cycle needed to switch on and off the power switches. The control study of the grid-connected inverter with L and LCL output filters has been considered using a co-simulation approach with (Powersim Inc., Rockville, Maryland, USA) and MATLAB software (The MathWorks, Natick, Massachusetts, USA). The obtained results show the improvement of both shape quality and tracking accuracy of the output current quantified by low ripple content and a nearly unity power factor.
The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory

Memory forensics provides cutting edge technology to help investigate digital attacks Memory forensics is the art of analyzing computer memory (RAM) to solve digital crimes. As a follow-up to the best seller Malware Analyst's Cookbook, experts in the fields of malware, security, and digital forensics bring you a step-by-step guide to memory forensicsnow the most sought after skill in the digital forensics and incident response fields. Beginning with introductory concepts and moving toward the advanced, The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory is based on a five day training course that the authors have presented to hundreds of students. It is the only book on the market that focuses exclusively on memory forensics and how to deploy such techniques properly. Discover memory forensics techniques: How volatile memory analysis improves digital investigationsProper investigative steps for detecting stealth malware and advanced threatsHow to use free, open source tools for conducting thorough memory forensics Ways to acquire memory from suspect systems in a forensically sound manner The next era of malware and security breaches are more sophisticated and targeted, and the volatile memory of a computer is often overlooked or destroyed as part of the incident response process. The Art of Memory Forensics explains the latest technological innovations in digital forensics to help bridge this gap. It covers the most popular and recently released versions of Windows, Linux, and Mac, including both the 32 and 64-bit editions. Bonus materials include more than 20 real-world exercises, sample memory and code files, and even a formal presentation, syllabus, and test bank.
Variational finite element analysis of dielectric waveguides with no spurious solutions

A new variational formulation for the analysis of dielectric waveguides is presented. This formulation provides a direct solution for the propagation constant using only the transverse components of the magnetic field and avoids spurious solutions. It allows treatment of lossy anisotropic dielectrics and leads to a canonical sparse matrix eigenvalue problem. © 1990, The Institution of Electrical Engineers. All rights reserved.
RF modeling issues of deep-submicron MOSFETs for circuit design

This paper provides an overview of important issues in CMOS MOSFET modeling for radio frequency (RF) applications. Beginning with a brief review of state-of-the-art of RF CMOS technology, we discuss modeling issues that need to be resolved to meet the requirements from circuit designers. Then, we present our current achievements and activities in compact MOSFET modeling for RF circuit design.
Microstructure and Viscosity of Dephosphorization Slag in New Double Slag Converter Steelmaking Process

much lower phos phorus content in the liquid slag than that in the solid solu-Microstructure The structure and viscosity of the dephosphorization slag in new double slag converter steelmaking process with low basicity slag at the low temperature range of 1 573 K–1 723 K are studied with high-temperature laboratorial experiments. With increasing the end temperature of dephosphorization, the viscosities of different slags decrease rapidly at first, then decrease slowly, and the slag activation energies increase. The values of Non-Bridging Oxygen per Silicon (NBO/Si) decrease, indicating the increase in the degree of polymerization (DOP) of the dephosphorization slag and the viscous flow activation energy of the dephosphorization slag. The results of Raman and FTIR spectroscopy are consistent. The dephosphorization slag in the temperature range of 1 573 K–1 673 K is mainly composed of the P-rich region, Fe-rich region and liquid region. With increasing temperature from 1 573 K to 1 673 K , the proportion of the liquid region in slag increases, but the P-rich and Fe-rich regions correspondingly decrease.
Analysis of a Material Life Model

Survival analysis , can be used to estimate the durability life of the material structure. In this paper, we study a general class of additive-multiplicative model with accelerated hazard factor for survival data. This general class model includes some popular classes of models as subclasses, and may provide a tool to choose model more appropriate for a given data set. Finally, a parameter estimation of the material life model is obtained.
Multi-Level Materials Service Safety Assessment System

With a number of major projects put into operation, such as high-speed train, marine platforms and new energy equipment, the service security issues for these projects have got more and more community-wide concern and become a hot topic in the recent study. Such systems' features are divided into more levels, the imbalance of existing data, and the longer service time. To resolve such service security issues, a variety of new methods such as multi-level modeling, data transfer between levels, and data balance method, must be introduced in the traditional reliability methods. In this paper, a multi-level materials service safety assessment system has been proposed, and a data processing method and the data transfer rules between levels have also been proposed based on Bayesian inference method and hybrid testing. The research result can be widely used in aerospace, high-speed train, new energy equipment and other fields needing service safety assessment.
Kerjasama Pemerintah dan Swasta Dalam Pengelolaan Limbah Medis Covid-19 di Kota Madiun

Meningkatnya penyebaran penyakit yang disebabkan oleh virus SARS-CoV-2 di Kota Madiun seiring pula dengan peningkatan jumlah limbah medis yang dihasilkan dari penanganan COVID-19 baik di Asrama Haji, Emergency Medical Train (EMT) maupun RSUD dr. Soedono Kota Madiun dikategorikan sebagai limbah B3. Untuk mengatasi masalah limbah medis COVID-19, Dinas Kesehatan, Pengendalian Penduduk, dan Keluarga Berencana (Dinkes-PPKB) Kota Madiun bekerja sama dengan PT. Triata Mulia Indonesia dalam pengelolaan limbah medis COVID-19, mengingat pengelolaan limbah B3 hanya dapat dilakukan oleh pemerintah, pihak ketiga, dan rumah sakit yang memiliki insinerator. Penelitian ini bertujuan untuk mendeskripsikan kemitraan antara DinKes-PPKB Kota Madiun dan PT. Triata Mulia Indonesia dalam pengelolaan limbah medis COVID-19 berdasarkan teori hollow state, serta mengkaji manfaat dan kendala yang dihadapi dalam pelaksanaannya. Penelitian ini menggunakan metode penelitian deskriptif kualitatif, dengan teknik pengumpulan data berupa wawancara, observasi, dan dokumentasi. Hasil penelitian ini menunjukan bahwa kerjasama antara Dinkes-PPKB Kota Madiun dengan PT. Triata Mulia Utama dalam hal pengelolaan limbah medis COVID-19 sudah berjalan dengan efektif dikarenakan kedua belah pihak sudah menjalankan perannya masing-masing dengan baik.
A Study on Subsidence of Soft Ground Using Artificial Neural Network

Abstract: When industrial structures are constructed on soft ground, grou nd subsidence is occurred by problems of bearing capacity. To protect ground subsidence have to improve soft ground, and have to predict settlement estimation for reasonable construction. Artificial Neural Networks(ANN) is adopted for pr ediction of settlement of construction during the initial design. In the study, Artificia l Neural Networks are applied to predict the settlement estimation of initial conditi on ground and ground improved by D.C.M method. Also, this study compares results of Artificial Neural Networks and results of continuum analysis using Mohr-Coulomb models. In result, settlements of initial condition ground decreased over 0.7 time s. Also, by comparing ANN and continuum analysis, coefficient of determination was comparatively high value 0.79. Thought this study, it was confirmed that settlements of improvement ground is predicted using laboratory experiment data. Key words: Ground Subsidence, Soft Ground, Artificial Neural Networks
Improved neuron MOS-transistor structures for integrated neural network circuits

The neuron MOS transistor is a recently discovered device which is capable of executing a weighted sum calculation of multiple input signals and threshold operation based on the result of summation, thereby simulating the function of biological neurons. A comprehensive set of neuron test transistors has been designed, where a number of input gates are coupled capacitively to a floating gate, which controls the channel current. Integrated circuits for neural network applications have also been designed, based on the neuron MOS transistors. These circuits include neuron CMOS inverters and A/D and D/A converters. To increase the accuracy of the neuron MOSFET structures, calibration techniques are proposed and tested. All the test structures and circuits are implemented by using a standard 0.8 /spl mu/m double-polysilicon CMOS technology. Attention was paid to saving the layout area and reducing power consumption.
The Potential Roles of Arbuscular Mycorrhizal Fungi in Soil Health and Conservation

Soil is an indispensable resource of the terrestrial ecosystem that provides manifold ecosystem services. Soil functions include regulation of nutrient cycle aided by armies of decomposers present in the soil, anchorage of plants and facilitation of their growth, sustenance of water quality, and regulation of water filtration, air quality, and temperature. Soil health is tightly correlated with sustainable agriculture, owing to the multitudinous microflora and fauna residing in the soil whose activity is instrumental to soil welfare. Maintenance of soil structure and quality is, thus, crucial for facilitating rapid plant growth so that the lag between food production and exponential population growth can be bridled. Regarding this, a major group of soil-dwelling fungus, i.e., Arbuscular mycorrhizal (AM) fungi (AMF), regulate soil quality and ecological interactions operating therein. This review pays attention to the AMF-secreted miracle glycoprotein −”glomalin” that considerably influences soil dynamics. The major takeaway is that mycorrhizal association in the rhizosphere improves soil quality by regulating soil aggregation, tilth and fertility, and enriching soil organic carbon pool. Besides, mycorrhiza-mediated amelioration of contaminated soil, which reflects a prominent role of AMF in ecosystem functioning, is also discussed. Along these lines, further studies should target the functional ecology of AMF in agro-ecosystems, and bioprospecting of more AMF strains should be done to completely harness their potential in biocontrol, bioremediation, and soil conservation.
“Los Programadores Debieron Pensarse Como Dos Veces”: Exploring the Intersections of Language, Power, and Technology with Bi/Multilingual Students

Critical computing approaches to K-12 computer science education aim to promote justice in computing and the wider world. Despite being intertwined with inequitable power dynamics in computing, issues of linguistic (in)justice have received less attention in critical computing. In this article, I draw on theoretical ideas from sociolinguistics and critical computing to analyze qualitative data collected in computing and technology-integrated language and humanities classes serving emergent bi/multilingual middle school students. Conversations about language, technology, and power were close at hand in focal classrooms, and surfaced in moments when students acted as users and critics of, and tinkerers with, digital tools. Students exercised agency in relation to both technology and language—using their budding understandings of language to question digital tools, and their engagements with tools to challenge traditional language ideologies. I build on past scholarship and the findings of this analysis to argue for the development of critical translingual computing education—an approach that would engage especially language-minoritized students in critical computing to build on and affirm their language practices and promote linguistic justice in computer science education, fields, and tools.
Two-Scale Investigation of the Retention Behavior of a Well-Graded Mixed Soil

The hydraulic characterization of mixed compacted soils is helpful for the design of earthworks subjected to drying–wetting cycles. When the mixed soil is well-graded and made of both coarse and fine fractions, its matric suction may also be due to the short-range adsorption phenomena, as for the soil investigated in this research work. A silty–clayey sand was created by a mixing procedure and experimentally investigated at two different scales. Physical modeling of an infiltration process was performed, allowing an inverse numerical analysis to infer the water retention and the hydraulic conductivity functions of the soil, whereas element testing on soil specimens allowed direct determination of the same equations. In the article, problems related to the employed suction measurement techniques have been pointed out and discussed. By this two-scale combined strategy, features of the soil hydraulic behavior, such as the wetting collapse, the shrinkage during drying, and the loop of hysteresis, were also determined.
1.4.3 Traceability for the Development and Assessment of Safe Avionic Systems

For complex avionic systems, evidence must be provided to demonstrate that the risk associated with the software is acceptable. It has been proposed that this evidence be obtained by conducting safety assessment in parallel with development. This increases the importance of co‐operation between teams (including development, assessment and safety authority). To facilitate this co‐operation, a traceability method is proposed, based on a set of information structures and procedures for their analysis. An application of the approach to a study based on the Slats & Flaps system for the Airbus 321 is presented.
BPPF: Bilateral Privacy-Preserving Framework for Mobile Crowdsensing

: With the emergence of mobile crowdsensing (MCS), merchants can use their mo⁃ bile devices to collect data that customers are interested in. Now there are many mobile crowdsensing platforms in the market, such as Gigwalk, Uber and Checkpoint, which pub⁃ lish and select the right workers to complete the task of some specific locations (for example, taking photos to collect the price of goods in a shopping mall). In mobile crowdsensing, in or⁃ der to select the right workers, the platform needs the actual location information of workers and tasks, which poses a risk to the location privacy of workers and tasks. In this paper, we study privacy protection in MCS. The main challenge is to assign the most suitable worker to a task without knowing the task and the actual location of the worker. We propose a bilateral privacy protection framework based on matrix multiplication, which can protect the location privacy between the task and the worker, and keep their relative distance unchanged.
Calculation of heat transfer from the bottom of a coach to the passenger compartment

© This article is distributed by Turk Journal Park System under the CC 4.0 terms and conditions. In the current study, amount of heat transfer to the passenger compartment through the floor, which is one of the cooling load components of the vehicle, under normal working conditions were examined. For detailed investigations, floor of the passenger compartment was sub-divided into 11 regions by considering the material properties and the thermal condition under the region. By referencing the test results and making some assumptions, mean temperatures of the regions under the floor were determined. And then the heat transfer from the bottom of the vehicle to the passenger compartment was calculated. At the end of study, mean temperatures, heat transfers and heat fluxes of the regions were examined and some improvement modifications advised for heat transfer and economy points of views.
Erratum: Rectifier action with constant load voltage: infinite-capacitance condition

The paper presents an analysis of a 3-phase fullwave bridge-rectifier system with constant load voltage, and with series resistance and inductance in the a.c. source. It is shown that four different operating modes or conducting patterns may occur, according to the phase angle of the source impedance and the magnitude of the load voltage. The results given include a complete set of output voltage/current characteristics from open circuit to short circuit, for the full range of possible source impedances, together with details of the source and bridge currents.
Exploring the Interpretation of COVID-19 Messaging on Older Adults’ Experiences of Vulnerability

Abstract Public health messages and societal discourse during the COVID-19 pandemic have consistently indicated a higher morbidity and mortality risk for older people, particularly those with multiple health conditions. Older adults’ interpretations of pandemic messaging can shape their perceived vulnerability and behaviours. This study examined their perspectives on COVID-19 messaging. Eighteen community-dwelling older adults residing in Manitoba (Canada) participated in semi-structured telephone interviews between July and August 2020, a period of low COVID-19 cases within the province. Inductive thematic analysis was used to identify key themes that described participants’ processes of information interpretation when consuming pandemic-related messages, their emotional responses to messaging and consequent vulnerability, and the impacts of messaging on their everyday lives. Understanding how older adults have construed COVID-19 and pandemic-related messages, and the subsequent impact on their daily behaviours, is the first step towards shaping societal discourse and sets the stage for examining the pandemic’s long-term effects.