Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploration of Teaching Mode Based on Cloud Class Platform Under the Background of Smart Education

With the development and popularization of mobile terminals, big data, artificial intelligence, cloud computing and other technologies, education is currently transforming and developing in the direction of smart education. Its basic characteristics are openness, sharing, interaction, collaboration, and ubiquity. Teaching methods are turning to digital, networked, intelligent and multimedia, and the modernization of education is promoted by education information. How to use information technology to change the traditional teaching mode has become a new hot topic of discussion. This article discusses the "online + offline" hybrid teaching model in colleges and universities, and puts forward research suggestions for the new teaching model.
Will Coronavirus and Economic Nationalism Reverse Two Centuries of Globalization

[ ]it was the massive global interconnectedness of trade that spread a dangerous disease Because all exports must go somewhere, the total of all exports from every country must be equal to the total volume of imports [ ]we are safe in looking solely at the export side of the equation, at least in this case After WWII, and with America taking the lead in the new international system dominated by the US dollar, trade once again started [ ]recently, that growth showed little sign of stopping
THE PREDISPOSITION OF HEARING THRESHOLDS DAMAGE IN ELDERLY UNDERGOING CANCER TREATMENT WITH CISPLATIN

Purpose: To study the hearing thresholds of elderly patients exposed to cancer treatment with cisplatin. Methods: 74 elderly people took part of the study in two groups (control and study). The study group is composed by elderly individuals with a concluded anatomapathological diagnosis of neoplasia and undergoing cancer treatment with exclusive use of cisplatin (approximate dose of 250mg/m2). Both groups performed anamnesis, meatoscopy, tonal and vocal audiometry. Results: When comparing the evaluated groups, the presence of hearing loss with presbyacusis characteristics was observed. There was a statistically significant difference for the frequencies of 1 and 6kHz (p=0,003 and p=0,001) for audiograms with hearing loss and for the frequency of 6kHz for normal audiograms of the study group compared to the control group. Conclusion: It is believed that the use of cisplatin, a toxic drug to the hearing organ, predisposed the worsening of frequencies of 1 and 6kHz.
Mouvement Brownien d'un ellipsoide (II). Rotation libre et dépolarisation des fluorescences. Translation et diffusion de molécules ellipsoidales

Etude analytique du mouvement brownien de rotation d'un ellipsoide a partir d'une equation etablie anterieurement (1). Application au calcul de la depolarisation, resultant des rotations des molecules excitees pour une fluorescence emise par des molecules ellipsoidales en solution. Equation aux derivees partielles du mouvement brownien d'ensemble (rotation et translation) d'un ellipsoide. Etude de la diffusion de molecules ellipsoidales dissoutes : anisotropie locale resultant de la diffusion; — existence, pour les faibles gradients de concentration, d'un coefficient de diffusion limite. Formules et graphique donnant les valeurs de ce coefficient de diffusion pour les ellipsoides de revolution.
Heuristic Edge Server Placement in Industrial Internet of Things and Cellular Networks

Rapid developments in industry 4.0, machine learning, and digital twins have introduced new latency, reliability, and processing restrictions in Industrial Internet of Things (IIoT) and mobile devices. However, using current information and communications technology (ICT), it is difficult to optimally provide services that require high computing power and low latency. To meet these requirements, mobile-edge computing is emerging as a ubiquitous computing paradigm that enables the use of network infrastructure components such as cluster heads/sink nodes in IIoT and cellular network base stations to provide local data storage and computation servers at the edge of the network. However, optimal location selection for edge servers within a network out of a very large number of possibilities, such as to balance workload and minimize access delay, is a challenging problem. In this article, the edge server placement problem is addressed within an existing network infrastructure obtained from Shanghai Telecom’s base station data set that includes a significant amount of call data records and locations of actual base stations. The problem of edge server placement is formulated as a multiobjective constraint optimization problem that places edge servers strategically to balance between the workloads of edge servers and reduce access delay between the industrial control center/cellular base stations and edge servers. To search randomly through a large number of possible solutions and selecting those that are most descriptive of optimal solution can be a very time-consuming process, therefore, we apply the genetic algorithm and local search algorithms (hill climbing and simulated annealing) to find the best solution in the least number of solution space explorations. Experimental results are obtained to compare the performance of the genetic algorithm against the above-mentioned local search algorithms. The results show that the genetic algorithm can quickly search through the large solution space as compared to local search optimization algorithms to find an edge placement strategy that minimizes the cost function.
Personality-Aware Product Recommendation System Based on User Interests Mining and Metapath Discovery

A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy and unpredictability concerning new items (cold start). These limitations take place because the legacy recommendation systems rely only on the user’s previous buying behavior to recommend new items. Incorporating the user’s social features, such as personality traits and topical interest, might help alleviate the cold start and remove recommendation redundancy. Therefore, in this article, we propose Meta-Interest, a personality-aware product recommendation system based on user interest mining and metapath discovery. Meta-Interest predicts the user’s interest and the items associated with these interests, even if the user’s history does not contain these items or similar ones. This is done by analyzing the user’s topical interests and, eventually, recommending the items associated with the user’s interest. The proposed system is personality-aware from two aspects; it incorporates the user’s personality traits to predict his/her topics of interest and to match the user’s personality facets with the associated items. The proposed system was compared against recent recommendation methods, such as deep-learning-based recommendation system and session-based recommendation systems. Experimental results show that the proposed method can increase the precision and recall of the recommendation system, especially in cold-start settings.
Efficacy of stubbies in initial phase of rehabilitation for a woman with bilateral transfemoral amputation - a case study

Background: Individuals with a Transfemoral Amputation (TFA) may encounter impediments in day to day life because of decreased mobility. The utilization of “Stubby” prostheses in bilateral transfemoral amputees has been pushed by several authors. The significant focal points of these prostheses are that they 1) Lower the Centre of Gravity, decreasing the rate and reality of falls and 2) eliminate prosthetic knee joint, providing better control and possible reducing the cardiovascular stress of ambulation 3) Cosmesis has been the significant hindrance. Case description and method: The stubby prosthesis was designed on basis of patient’s condition and complaint. Result: The prostheses provided optimal mediolateral stability, allowed easy balance, Prevented falling backward and push-off was initiated by rocker bottom. Conclusion: This Prosthesis is an economic and design with proper biomechanical implications.
Analysis of the Correlation between Corporate Governance and the Economic-Financial Performance of the Economic Entities

Performance is a combination of efficiency and effectiveness. If efficiency is to achieve maximum effects with minimal effort, effectiveness is the quantification of the extent to which the objectives are met. The new economic configuration of commercial transactions, characterized by change and unpredictability, leads to a shift from a reactive approach, based on previous planning and subsequent control, to a dynamic, proactive, characterized by the quantification-action-reaction. The quantification of the performance of the economic entity is carried out with the help of the indicators. The indicator thus becoming a decision support tool that verifies whether the actions taken are registered in the direction approved by the General Meeting of Shareholders and the Board of Directors. Therefore, quantification of performance involves identifying a methodology in which the following components appear as the main directions of action: customers, shareholders, business partners, own staff, various interested audiences, widening the company’s responsibility to groups other than shareholders, managers, employees and trade unions, internal processes, quality system, information system. In this paper I propose to analyze the correlation between corporate governance and the performance of economic entities, known to be the fact that economic agents with poor corporate governance have low economic performance (low yield of assets, equity and investments, etc), expose themselves more often the risks (eg stock price volatility of BSE listed companies, low interest rate, etc.). I believe that it is necessary to create a new global governance model that takes into account the organizational and evolving dimension of the entity, but also other partners whose actions can maximize the efficiency, performance or value of the brand, and which puts particular emphasis on creating value or wealth for stakeholders. We need a new policy to maximize shareholders’ wealth.
G-Quadruplex Structure Can Be Stable with Only Some Coordination Sites Being Occupied by Cations: A Six-Nanosecond Molecular Dynamics Study

Guanine tetrads are formed spontaneously by guanine rich sequences in the presence of certain cations. Various quadruplex helical structures, stabilized by such tetrads, apparently play an important biological role in vivo. To understand the importance of the cations, a 6 ns molecular dynamics simulation has been performed on a 7-mer G-quadruplex, surrounded by Na+ counterions and explicit water molecules, but without any ions in the initial structure. Interestingly, the quadruplex structure does not fall apart, but undergoes small structural changes, which enable the solvent molecules, including Na+ ions, to enter the empty central channel of structure. This channel is fully hydrated within the first 100 ps and two ions move into the central channel between 0.5 and 2 ns of MD simulation, by replacing some of the water molecules. The ions once trapped within the quadruplex channel are not expelled even during 1.5 ns of M-D at 400 K. In fact they penetrate deeper into the channel to facilitate entry of additional ions, though all coordination sites within the quadruplex are not occupied even after 6.1 ns of MD simulation. The entry of cations into the central channel leads to a quadruplex structure with more favorable free energy of hydration, which is comparable to that of a fully coordinated quadruplex.
Growth of multiferroic superlattices

Miniaturization of the electronic devices has prompted the search for new materials with multifunctional properties. In this regard, multiferroics have distinct advantages as multifunctional materials because they possess for instance both ferroelectricity and ferromagnetism. Therefore, in addition to the fundamental interest, these “smart” materials, which are able to react to external stimuli or signals, are very attractive for a wide range of potential applications, e.g., in information storage or spintronics. However, very few multiferroics are known to the humankind. In this article, we report the synthesis of artificial multiferroics using the superlattices approach by pulsed laser deposition (PLD) technique. A series of films were grown by combining the magnetic layers, e.g., Pr0.85Ca0. 15MnO3 or La0.7Ca0. 3MnO3, and ferroelectric (FE) layers like (Ba1−x Sr x )TiO3 with different thicknesses. The magneto-electric and multiferroic (magnetic and dielectric) properties of these materials have been investigated and discussed in the light of the literature.
Correlation between ionic charge and the lattice constant of cubic perovskite solids

In this paper we present lattice constant values for cubic perovskite solids with the product of ionic charges and average ionic radii rav (Å). The lattice constant of these compounds exhibit a linear relationship when plotted on a log–log scale against the average ionic radii rav (Å), but fall on different straight lines according to the ionic charge product of the compounds. We have applied the proposed relation to ABX3 (A: large cation with different valence, B: transition metal and X: oxides and halides) and found a better agreement with the experimental data as compared to the values evaluated by earlier researchers. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Directional Modulation Design Under a Given Symbol-Independent Magnitude Constraint for Secure IoT Networks

Directional modulation (DM) is an important technology for physical layer security in wireless communications. Recently, a symbol-independent magnitude constraint for all antennas was proposed in DM design to reduce the design complexity of its analogue implementation. However, a limitation of the method is that it can only set the magnitude to a certain value, and all the antenna coefficients have the same magnitude. In this article, a more flexible solution is provided and the challenge of the design is the nonconvex constraint enforcing an arbitrary symbol-independent magnitude for all coefficients. To solve the problem, a convex iterative method is proposed, based on which the magnitudes of weight coefficients for all antennas can be chosen by designers in advance according to the specific requirements, allowing more freedom in the design process, which is the major difference between the previously proposed design and the newly proposed one. Two design examples are provided to demonstrate the effectiveness of the proposed design. One is is a general example, where coefficient magnitudes for different symbols are the same for the same antenna, but different for different antennas; the other one is a special case where magnitudes for all antennas are the same.
The Impact of Culture on Third-Line Leaders in the Kuwait Oil Sector

Societies pass through several transformational phases that could result from economic growth and changes in technology as well. At present, Kuwait is going through such transformation mainly because of the wealth brought by the oil revenues and the current oil price drops. The society has gone through a rapid evolution, without passing into gradual transformational phases.This research studies the impact of culture on leadership within the oil and gas sector in Kuwait. Culture in Kuwait is influenced strongly through Islamic religion and values. Issues related to Wasta (nepotism) and Kuwaitization (nationalization) is a substantial factor in business and every other aspect in Kuwait. Through in-depth interviews with 42 third-line leaders, the research identifies the influence of societal and collectivist culture, Wasta, Kuwaitization, and organization structure. The root problem is the lack of adequate Kuwaiti workforce with the required skills and experience. With a larger expatriate population in Kuwait, the focus of government in Kuwaitization is essential. However, this should not be at the cost of expertise. The emphasis should be on recruiting and identifying talent to achieve excellent business performance. The influence of Wasta needs to be eliminated.
Trusted-Region Subsequence Reduction for Designing Resilient Consensus Algorithms

Existing resilient consensus algorithms are mainly developed based on the mean subsequence reduced (MSR) method, which relies on the assumption that there exist at most <inline-formula><tex-math notation="LaTeX">$f$</tex-math></inline-formula> malicious agents in the entire network or each neighborhood (i.e., <inline-formula><tex-math notation="LaTeX">$f$</tex-math></inline-formula>-total or <inline-formula><tex-math notation="LaTeX">$f$</tex-math></inline-formula>-local model). However, in some practical cases, it may be impossible to estimate an appropriate upper bound on the number of malicious agents. This paper proposes a novel method, called trusted-region subsequence reduction (TSR), for designing resilient consensus algorithm without the <inline-formula><tex-math notation="LaTeX">$f$</tex-math></inline-formula>-total/local model assumption. The main idea of the TSR method is to filter out the received information beyond a dynamic trusted region, determined by the current relative positions of the neighboring trusted nodes. Based on the TSR method, we design a sampled-data resilient consensus algorithm for double-integrator multi-agent networks. A necessary and sufficient graph-theoretic condition is obtained to achieve resilient consensus. Finally, simulations are conducted to illustrate the effectiveness of the proposed algorithm and the faster convergence rate of the TSR-based algorithm than the classical MSR-based algorithm.
Potential and Current Requirements For the Cathodic Protection of Steel in Soils

Abstract Potentials of steel in 20 airfree soils varying in pH from 2.9 to 9.6 were determined in the laboratory. These data and the potential-pH relation for the hydrogen electrode were used in fixing the optimum potential for the cathodic protection of the steel against corrosion. The effectiveness of this potential for the cathodic protection of steel in soils was confirmed by weight loss measurements on electrodes which were maintained at the selected potential in five corrosive soils. Cathodic polarization curves are interpreted in terms of the potential and current requirements for the cathodic protection of steel in soils.
Twitter Sentiment on Mispricing in Indonesia Stock Market

This paper examines the relationship between twitter sentiment on mispricing in Indonesia listed firms over period 2013 – 2017. This study uses machine learning method to classify sentiments based on Naïve Bayes, Support Vector Machine and Decision Tree algorithm. The results show that Decision Tree is the best method to classify sentiment in Indonesian. To measure mispricing, we use mispricing score method from Stambaugh Yu and Yuan 2012 associated with 9 long/short anomalies. The results of this experimental studies show that sentiment exhibits significant relation to stock returns on the long/short strategies. The short-leg strategy is more profitable following low or positive sentiment.
Evaluation of Starch Components, Pasting and Functional Properties of PleurotusTuberregium Flour from Air Dried Sclerotia

Pleurotus tuberregium is one group of mushroom that produce edible sclerotia and is used for various culinary and medicinal purposes. Flour was produced from the air dried sclerotia and starch components, pasting and functional properties were evaluated. It had a total and resistant starch contents of 73.63% and 12.37% respectively while its amylose content was 20.03%. Its amylose and resistant starch contents classified it as regular and high resistant starch flour. Its pasting properties revealed it had pasting temperature and peak time of 60.16oC and 5.97min respectively. Results on breakdown viscosity, set back viscosity and set back ratio revealed a high tendency of the flour to retrograde after gelatinization and when shear stress is applied. It had low swelling capacity, moderate dispersibility index and high gelatinization temperature with values of 4.17g/g, 53% and 94oC respectively. This therefore suggests that flour from air dried Pleurotus tuberregium sclerotia can be utilized in food formulations where high resistant starch is relevant for nutritional purposes and as thickeners in food products. However, there is need for technological modification to improve its pasting properties so as to generate flour with a high stability ratio and a low set back ratio and so withstand retrogradation and with improved resistance to shear stress.
SPB-Net: A Deep Network for SAR Imaging and Despeckling With Downsampled Data

Synthetic aperture radar (SAR) typically faces both large-scale data and speckle noise problems, which, respectively, induce enormous strains on transmission and storage and interfere with the analysis and interpretation of SAR images. To tackle these, we present a real-time processing deep network, called SPB-Net, to implement imaging and speckle suppression simultaneously. First, a novel imaging-despeckling observation model with the nonlogarithmic additive speckle noise is established. Subsequently, guided by the statistical properties of noise and sparse and detail-preserved requirements in SAR imaging and despeckling, we formulate an <inline-formula> <tex-math notation="LaTeX">$L_{2}$ </tex-math></inline-formula> along with two <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> regularizations as the fidelity, sparse, and image detail-preserved constraints, respectively. Convolution layers are employed to improve the feature representation capability in the latter <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> term as well. Based on this, we construct a corresponding convex optimization problem. Then, the complex-valued split Bregman method, focusing on the complex-variable convex problem, is unfolded into a parameter-learnable and architecture-fixed SPB-Net to solve the proposed problem effectively and efficiently. Experimental results with the downsampled Radarsat-1 raw data demonstrate the validity in imaging and speckle suppression and the real-time processing capability of the proposed SPB-Net.
Factors affecting e-learning based cloud computing acceptance: an empirical study at Vietnamese universities

E-learning has been a trend of higher education. Accounting students need to know how to apply flexible learning methods as they are required to study and practise in a technological environment. Nevertheless, studies on e-learning based on cloud computing for accounting students in Vietnam are still limited. This study aims to find out factors affecting the behavioral intention, the direct influence of habits, the beneficiary motivation, and the favorable conditions for the acceptance of using elearning based on cloud computing. By using data collected from a survey of 696 students and applying the theory of adopting extended UTAUT model, the estimation results from the linear structure models show that there are six determinants of accounting students’ behavioral intention, in which the performance expectancy has the strongest impact, followed by effort expectancy, price value, facilitating conditions, hedonic motivation, and social influence. Additionally, our findings suggest that despite not affecting the behavioral intention to use e-learning, habits directly impact the application. The hedonic motivation and the facilitating conditions are found to have direct and significant impacts on the use of e-learning based on cloud computing.