Miracle-dz/UniFAR-FTUs huggingface dataset:
The Data Privacy Paradox and Digital Demand

A central issue in privacy governance is understanding how users balance their privacy preferences and data sharing to satisfy service demands. We combine survey and behavioral data of a sample of Alipay users to examine how data privacy preferences affect their data sharing with third-party mini-programs on the Alipay platform. We find that there is no relationship between the respondents’ self-stated privacy concerns and their number of data-sharing authorizations, confirming the puzzling data privacy paradox. Instead of attributing this paradox to the respondents’ unreliable survey responses, resignation from active protection of their data privacy, or behavioral factors in making their data-sharing choices, we show that this phenomenon can be explained by a curious finding that users with stronger privacy concerns tend to benefit more from using mini-programs. This positive relationship between privacy concerns and digital demands further suggests that consumers may develop data privacy concerns as a by-product of the process of using digital applications, not because such concerns are innate.
The Cognitive Foundations of Tacit Commitments

People often make, and are held to account for, purely tacit commitments in interactions with other people: commitments which have never been explicitly articulated or agreed. Moreover, unspoken, tacit commitments are often perceived as binding: people often stick to, and are expected to stick to, these commitments, even where it might seem against their interests to do so. These commitments have been widely seen as crucial underpinning for human collaboration and cooperation. Yet how do such commitments arise, and are they compatible with human rationality? This paper provides a formal, reasoning-based account of tacit commitments based on “virtual bargaining”—a mode of reasoning that joins elements of individualistic and collaborative reasoning. We complement existing accounts by showing that even purely self-interested individuals can, under certain conditions, tacitly commit to punishing counterparts who violate an unenforceable agreement, or to cooperating in the Centipede game and the finitely repeated Prisoner’s Dilemma game.
Spectral Structure of Critical Opalescence: Binary Mixture.

The linearized hydrodynamic equations of irreversible thermodynamics are used to obtain the time dependence of the kth Fourier component of a concentration fluctuation in the one-phase region of a binary mixture. The frequency of the light scattered by concentration fluctuations near the critical mixing point is found to be broadened into a Lorentzian distribution with a half-width proportional to the mass diffusion coefficient, D. The possibility of detecting space dispersion in D is discussed.
Simulated mutations in the geminivirus replicase gene using in-silico CRISPR / Cas9-based methods

Geminivirus is one of the causes of losses in the agricultural sector. This virus infects many horticultural crops such as tomatoes, potatoes, eggplant, cucumbers, and chilies. All genes in geminivirus have an important and interrelated role in the success of infection. Replicase is a gene that is key in the replication of the viral genome in its host. The occurrence of mutations in this gene is thought to stop the virus from multiplying in the host. This will lead to the failure of the virus to infect the plant. To achieve this, an in-silico mutation simulation can be performed first. Mutations were simulated following the CRISPR / Cas9 method using Phyre2, ProFunc, CASTp, and Chimera software. This simulation succeeded in predicting that the CRISPR / Cas9 system on the replicase gene could inhibit viral replication. The success of this simulation will become a reference and consideration for CRISPR/Cas9 further research at the laboratory scale.
Improved Cost Effective IoT Based Coal Mining Safety System

In recent years there are lot of life risk occurs to skilled labors in coal mines which requires an advancement in coal mining safety system. In order to improve this current scenario, An IOT based coal mining safety system is proposed. Proposed system is implemented using IOT module to monitor and control various parameters in the coal mines such as leakage of gas, earthquake, water level and Fire ignition detection in the coal mine. All these sensors are intergrated with microcontroller and placed in different parts of coal mines. In case of any uncertainties then buzzer will alert, then the notification is sent to the serial monitor and to the authorized person. This system enhances the safety and improved working conditions of labours in coal mining system.
Research of garden sprayer machines of near-stem and inter-stem strips of orchards

The article presents the results of experimental studies of industrial application in the trunk and intert stem strips of orchards of a chemical treatment machine with spray sections, which are equipped with additional sprayers directed in the direction of the location of the protective and intert stem strips. The authors reproduced an experiment to determine the density of the coating of droplets on the surface of cultivation depending on the distance relative to the centerline of a number of trees with a full cycle of cultivation of the trunk and trunk strip at work: section sprayers; additional spray; all sprayers section. The authors confirmed the technological capabilities of the developed machine in comparison with modern chemical treatment of stem and interstitial strips, in terms of reducing the cost of the active protective chemical. The optimal parameters of additional sprayers are set. The authors in the article confirmed that the spray sections work in three modes depending on the required width of the treatment of the stem and interstore strip. The width of the treated strip during the operation of the section with one spray is 0.5-1.0, with two 1.0-1.5, with three is 1.5-2.0 m. In addition, the quality assurance of the technological operation of the chemical processing of orchards.
The impact of corporate governance on environmental reporting: Evidence from the Indonesian manufacturing industry

Environmental reporting is the preparation, presentation, and dissemination of information on how the company interacts with the natural environment. The report is commonly presented to its stakeholders in the company’s annual report. The purpose of this study is that empirically examine the impact of corporate governance practices on environmental reporting. The corporate governance characteristics utilized in the study are audit committee effectiveness, board size, and ownership concentration. While size and profitability is the control variable of the study. One hundred and two manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2015 to 2017 were used as a sample, resulting in 306 company observations. Employing data panel regression analysis, the results indicate that audit committee effectiveness and board size positively influence environmental reporting. These results suggest that the more effective the audit committee is, and the higher the number of commissioners in the company, the higher the company’s encouragement to provide environmental information in the company’s annual report. The study also found that size positively associate with environmental disclosure. The study offers additional perspectives on factors that can affect the listed companies to report environmental reporting within the G4 environmental framework of the Global Reporting Initiative (GRI). Hence, the capital market authority agency may strengthen the regulation related audit committee to improve environmental awareness in IDX.
On generic complexity of theories of finite algebraic structures

This article is devoted to investigation of generic complexity of universal and elementary theories of finite algebraic structures with universal set with more than one element of finite predicate signature with equality. We prove that there are no polynomial strongly generic algorithm, recognizing any such theory, provided P = BPP and P ≠ NP (P ≠ PSPACE). The author is supported by Russian Science Foundation, grant 19-11-00209.
Development of a model for predicting dynamic response of a sphere at viscoelastic interface: A dynamic Hertz model

A model for predicting the dynamic response of a sphere at viscoelastic interface is presented. The model is based on Hertz contact model and the model for a sphere in a medium. In addition to the elastic properties of medium and the size of sphere, the model considers the density of sphere, the density and viscosity of medium, and damping of oscillations of sphere due to radiation of shear waves. The model can predict not only the effects of the mechanical properties of medium, the physical properties of sphere, and the amplitude of excitation force on sphere displacement, but also the effects of these parameters on shift of resonance frequency. The proposed model can be used to identify the elastic and damping properties of materials, and to understand the dynamic responses of spherical objects at viscoelastic interfaces in practical applications.
Design and Implementation of Convolutional Neural Network Accelerator Based on RISCV

Internet of Things devices are faced with ever-increasing amounts of data, and they can no longer only do data collection as they did in the past, and hand over computing tasks to servers on the cloud. The growing computing requirements in the field of Internet of Things and the diversity of its scenarios put forward configurable and flexible customization requirements for customized processors. This paper conducts in-depth analysis and research on configurable customized processors, and analyzes related work in the field of RISC-V chips and deep convolutional neural networks in the field of device-side optimization at home and abroad. Based on this, this paper proposes an instruction and hardware design of a customizable deep convolutional neural network accelerator attached to Rocket-Chip Generator based on the RISC-V modular instruction set.
Defect passivation in CH3NH3PbI3 films using alkali metal fluoride additives for highly efficient perovskite solar cells

Solution-processed organic/inorganic hybrid halide perovskites are a class of very promising photovoltaic materials because of their extraordinary optoelectronic properties. However, numerous intrinsic defects within perovskite films limit the performance enhancement of perovskite solar cells (PSCs). Herein, we introduce three different alkali metal fluoride additives into the perovskite precursor to modulate the defect behaviors. The addition of alkali metal fluorides, especially potassium fluoride (KF), significantly passivates grain boundaries and point defects within bulk perovskite films, contributing to increased carrier lifetime and reduced defect state density. By optimizing the concentration of additives, the PSC device with 1% KF added has realized a significantly enhanced power conversion efficiency of 20.11%, and ignorable hysteresis.
Review of Nanomaterials in Construction

Nano particles are minute materials ranging sizes from 1 to 100 nm. The different classes of nano particle are classified based on their sizes, shapes and properties. The fame of Nanomaterials (NMs) in methodological advancements due to their biological, chemical and physical properties are developing based on their performance. The superiority of using the different types of nanoparticles in the construction field are immense, resulting in extraordinary performance in chemical and physical properties of the modified construction material. Commonly used nanoparticles in the construction sector are copper, carbon nanotubes, titanium dioxide, silica, aluminium oxide and clay. The development of nanoparticles is observed in construction reflecting in adoptive industries, demand and production. The main objective is to analyse and study the history, types, applications and uses in construction.
Stability of beta-induced Alfvén eigenmodes (BAE) in DIII-D

Although the stability of ellipticity, toroidal and reversed-shear Alfvén eigenmodes (EAE, TAE, RSAE) are relatively well understood, less is known about the stability of lower-frequency modes such as the beta-induced Alfvén eigenmode (BAE) but, because they are often unstable in present devices and are implicated in fast-ion transport, understanding their stability is vital. BAE stability is studied in primarily weak or reversed shear DIII-D plasmas with sub-Alfvénic deuterium beams. Modes are classified based on electron cyclotron emission, beam emission spectroscopy, magnetics, and interferometer data. The study is limited to the initial two seconds of the discharge, where the evolving q profile provides an effective scan of the dependence of stability upon q. In a dedicated experiment, BAEs are unstable at times in the discharge when the minimum of the safety factor q min is close to a rational number. The observed mode frequencies are usually close to analytic estimates of the BAE accumulation point and the eigenfunction peaks in the vicinity of q min. Unstable BAEs usually occur in bursts that chirp rapidly in frequency. To isolate the importance of thermal and beam gradients in driving the modes, the beam and electron cyclotron heating power is altered for 50–100 ms durations in reproducible discharges. As expected from the resonance condition, BAEs depend sensitively on the beam power and injection geometry. Modes only persist for ∼25 ms because the anisotropic beam population only interacts strongly with the modes over a relatively narrow range of q. A database of over 1000 beam-heated discharges shows that BAEs are more likely to be unstable when the poloidal beta exceeds 0.5.
An Assessment of Comparative Advantage of Pineapple Production (Ananas comosus) among Smallholders in Johor, Malaysia

Pineapple is a tropical fruit that contains great nutritional values and fine flavor with high export potential and provide income generation for many smallholders in Malaysia. Despite its popular appeal, there is little empirical data on the costs and competitiveness of its production in Malaysia. The objective of study was to assess a comparative advantage of pineapple production in Johor using Policy Analysis Matrix Model. A sample of 191 farmers was selected through a random sampling technique in Johor. The study demonstrated that Malaysian smallholders particularly in Johor had strong comparative advantages in the production of pineapple. The findings showed that the Domestic Cost Ratio (DRC) value for pineapple was 0.94, suggesting pineapple smallholders generated private profits because their ratio implied that the value added per unit of product was larger than the value of domestic resources used to produce a unit of pineapple. Along with it, the SCB value was positive, which means at social price, smallholders were socially profitable and internationally competitive. To conclude, the article presents recommendations for potential enhancement of the viability of pineapple smallholders.
Efecto de la temperatura y homogenización del Bromuro de Cetiltrimetilamonio (CTAB) en el proceso de síntesis de Nanoesferas de Au

In this work we have evaluated the temperature effect (65, 75, 85 and 95 °C) and type of homogenization (ultrasonic and magnetic agitation) in the solution of cetyltrimethylammonium bromide (CTAB), used as a stabilizer in the synthesis process of Au nanospheres by the wet chemistry method. Sodium borohydride (NaBH4) was used as reducing agent. The understanding and control of experimental parameters during synthesis are the key for a successful production of Au nanospheres. The x-ray diffraction patterns (XRD) showed peaks (111) and (200) characteristic of the gold structure at temperatures of 75, 85 and 95 °C. Absorbance spectra show optical peaks at 528, 527 and 537 nm at temperatures of 75, 85 and 95 °C respectively, typical of the nanospheres of gold, whose intensities were increased with higher temperature of dissolution of CTAB. The plasmonic peak of CTAB at 65 °C was not observed. Analysis by Dynamic Light Scattering in colloidal solutions, shown low dispersity and nanometer size when stabilized with CTAB dissolved at a temperature of 95 °C, results that were compared with Transmission Electron Microscopy images.
Research on Dehazing Algorithm of Single UAV Reconnaissance Image under Different Landforms Based on Retinex

Aiming at the weakness of the dark channel prior modelin and Retinex algorithm such as slow calculation speed, halo effect, and loss of details in the processing of UAV single image dehazingand, an improved Retinex algorithm is proposed. First, convert the RGB color space to the HIS color space, separate the brightness I, assign values to the three scales of large, medium and small, use Gaussian surround to obtain the three scale brightness images and then weight, and then switch the brightness image to the RGB color space, in order to achieve the information with more details. Finally, the haze images which is distinguished in three different landforms such as city, mountainous area and forestwill be performed simulation experiments in MATLAB, and adjust the image restoration effect by changing the parameters.
An Approach to Lens Regeneration in Mice Following Lentectomy and the Implantation of a Biodegradable Hydrogel Encapsulating Iris Pigmented Tissue in Combination with Basic Fibroblast Growth Factor

iv DEDICATION vi ACKNOWLEDGEMENTS vii TABLE OF CONTENTS ix LIST OF FIGURES xii LIST OF ABBREVIATIONS xiv INTRODUCTION 1 LITERATURE REVIEW 4 A. An Overview of Organ Regeneration 4 CHAPTER I: THE VERTEBRATE OCULAR LENS 6 A. Embryological Origin of the Vertebrate Lens and Its Development 7 B. Signaling Pathways/Molecules Required/Involved in the Induction and Development of the Vertebrate Lens 10 The Pax6 Gene 11 FGF Signaling Pathway 13 FGF and Pax6 13 In vitro studies 13 FGF gradient 15 In vivo studies 16 FGF and heparan sulphate proteoglycans 17 Redundancy 18 FGF receptors 19
Multi-attribute decomposition technique for fault tolerant multiversion systems

The article proposes an original method for decomposition of fault-tolerant multiversion systems based on multi-attribute analysis. Decomposition into functional subsystems is carried out taking into account the generality of functions performed by software modules. In this work, the attribute of the importance of functions is determined based on the general function of the unmanned aerial vehicle and the set of tasks that it must perform. The division of software modules into types allows you to determine possible ways to improve reliability that are applicable to them. These are, for example, multi-version programming, recovery blocks, t/(n-1)-variant programming.
A 4D hyperchaotic Sprott S system with multistability and hidden attractors

This paper derived a new simple hyperchaotic system from the famous Sprott, S system via the linear state feedback control. Compared with the available systems, the new system has eight terms, one constant, two parameters control, and a single quadratic nonlinear term. So this system is considered a simple relying on the number of terms and nonlinearities. The proposed system without equilibrium points and exhibits chaotic hidden attractors. Also, multistability or coexisting attractors are found through experimental simulations using phase portraits and the Lyapunov spectrum. Finally, anti-synchronization is implemented in the new system.
Forests moderate the effectiveness of water treatment at reducing childhood diarrhea

Environmental degradation has been associated with increased burden of diseases such as malaria, diarrhea, and malnutrition. As a result, some have argued that continuing ecosystem change could undermine successes in global health investments. Here we conduct an empirical study to investigate this concern. Child deaths due to diarrhea have more than halved since the year 2000, partly due to increased access to improved water, sanitation and hygiene (WASH). We examine how the effectiveness of a water quality treatment may vary as a function of upstream watershed condition. We use data on occurrence of diarrhea and point-of-use water treatment methods from the Demographic and Health Surveys for Haiti and Honduras. We integrate these data with a variable that reflects the influence of upstream tree cover on surface water quality. Point-of-use chlorination is significantly associated with 3.4 percentage points reduction in prevalence of diarrheal disease on average. However, we only detect a significant reduction in diarrheal prevalence when upstream watersheds are moderately forested. At low upstream tree coverage, point-of-use water chlorination does not have significant effects, suggesting that forest clearing could undermine its effectiveness at reducing childhood diarrhea. Our results suggest that forested watersheds may reduce water-borne sediments and contaminants, and thus improve raw water quality in ways that moderate the effectiveness of water quality treatment. Watershed protection should be considered in WASH investments, as deforested watersheds could undermine their effectiveness, particularly in parts of low-income countries where access to improved WASH services is challenging.
Knowledge management model to enhance Enterprise Resource Planning system in Green software development process

The global economy is constantly evolving and corporate technology and business are an important factor in this development and because of the accompanying negative impact on the environment and society, the role of sustainability and sustainable development highlights. To further investigate the scope of the green software development process and its integration with information systems such as the Enterprise Resource Planning (ERP) system, we presented this study due to its importance in minimizing the negative effects of information technology on our natural environment. In this connection, there is a have to combine sustainability and information technology allow organizations to behave in a manner to going greener. Comprehending that the Enterprise Resource Planning (ERP) system is one of the very effective commercial enterprise solutions for organizations, it is necessary to align its use with sustainability factors through the utilization of green IT practices, the objective of this research study is to provide a design model to enhance ERP system in green software development process. So every company must look into the impact of the utilization of Information and communications technology (ICT) on our natural environment and take care to adopt methods to decrease the effects negative on its. Therefore, knowledge management (KM) can be used as the facilitation tool. This research paper presents the results of qualitative research, which proposes a model that to the possibility of enhancing the implementation of the ERP system in the Green Software Development Process by using green IT practices and knowledge management as facilitation tools.
Discrete wavelet based estimator for the Hurst parameter of multivariate fractional Brownian motion

In this paper, wavelets were used to study the multivariate fractional Brownian motion through the deviations of the random process to find an efficient estimation of Hurst exponent. The results of simulations experiments were shown that the performance of the proposed estimator was efficient. The estimation process was made by taking advantage of the detail coefficients stationarity from the wavelet transform, as the variance of this coefficient showed the power-low behavior. We use two wavelet filters (Haar and db5) to manage minimizing the mean square error of the model.