Miracle-dz/UniFAR-FTUs huggingface dataset:
E-Commerce Model Oriented to Cloud Computing and Internet of Things Technology

In recent years, the number of e-commerce netizen users in China has grown dramatically, and e-commerce users who shop online have also grown rapidly. In this competitive environment, the rapid development of e-commerce has also risen rapidly. Therefore, it is very necessary to actively carry out research on e-commerce models for cloud computing and internet of things technology. The purpose of this article is mainly to explore the research on e-commerce model for cloud computing and internet of things technology and establish a model for cloud computing and internet of things. It has data mining and distribution functions to test multiple indicators such as cloud computing facilities and enterprise performance. The research results show that the number of complaints on the e-commerce model based on cloud computing and internet of things technology is 2,368; the number of complaints on the B2B e-commerce model is 19,955; the number of complaints on the B2C e-commerce model is 5,016; the number of complaints in C2C e-commerce was 51,854.
The Newtonian Potential of the Static Scalar Particle

In this article we obtain the Coulombian potential of spinor and scalar particle with the quantum field theory, there is no difference between the spinor and scalar particle. Similarly the Newtonian potential of spinor particle and scalar particle are also obtained with the quantum field theory, however it is found that the Newtonian potential of scalar particle is half of the Newtonian potential of spinor particle with same mass, it contradicts with the equality of gravitational and inertial mass. The Newtionian potential of the spinor particle can be used to obtain the Newtonian potentials of the sun,the earth and so on, therefore we suggest that it should be considered to be the experimental test of the gravitational theory of Einstein.
Handedness Development: A Model for Investigating the Development of Hemispheric Specialization and Interhemispheric Coordination

The author presents his perspective on the character of science, development, and handedness and relates these to his investigations of the early development of handedness. After presenting some ideas on what hemispheric specialization of function might mean for neural processing and how handedness should be assessed, the neuroscience of control of the arms/hands and interhemispheric communication and coordination are examined for how developmental processes can affect these mechanisms. The author’s work on the development of early handedness is reviewed and placed within a context of cascading events in which different forms of handedness emerge from earlier forms but not in a deterministic manner. This approach supports a continuous rather than categorical distribution of handedness and accounts for the predominance of right-handedness while maintaining a minority of left-handedness. Finally, the relation of the development of handedness to the development of several language and cognitive skills is examined.
ICTs and Domestic Violence (DV)

The use of information communication technologies (ICTs) to empower individuals through social support, help-seeking, and help-providing activities is finding its place in healthcare delivery. ICTs, in particular, offer access to timely and relevant information that domestic violence victims and organizations can tap into. Thus, this article explores the use of ICTs for providing and facilitating support and care-giving services to victims/survivors of domestic violence with online communities and other groups.
Silver Tourism and Recreational Activities as Possible Factors to Support Active Ageing and the Resilience of the Tourism Sector

"Population ageing, affecting both developed and developing countries nowadays, poses new challenges but also represents an opportunity for socio-economic systems in general, and in particular for tourism and recreation. In the light of the recently designed EU silver economy policies, active ageing shapes itself to be an attractive opportunity for the European leisure market. Seriously affected by the COVID-19 health crisis, the tourism sector’s resilience depends on the hospitality industry’s capacity to adapt, innovate, and respond to society’s new demographic challenges. Consequently, new types and forms of tourism and new service technologies should be implemented having in mind an ageing population. This paper used as the main research tool a survey on Bucharest residents aged 65 and over, aiming to identify their main preferences and limitations regarding recreational activities and leisure tourism. The main results identify similarities and differences to findings on European silver tourists and could be further valued by better adapted holiday packages and tourism marketing strategies for Romania. The present research emphasised differences in senior travel preferences and a possible segmentation of silver tourists in Romania (e.g. based on their income, education level), highly suggesting that the elderly’s needs have to be addressed by tailor-made products. "
Demarketing Strategy As a Tool to Mitigate Overtourism – An Illusion?

The growing tensions related to overtourism and its influences, such as environmental harm to nature and residents' well-being, loss of authenticity and visitors' satisfaction, have triggered a rethinking of destination marketing strategies. Many destinations consider stricter measures to cope with this situation. Among others, demarketing initiatives, which aim at discouraging demand, are discussed as an alternative strategic orientation. Demarketing is not a new concept, but in complex tourism destinations with many attractions, stakeholders and tourists, its potential remains mostly unexplored. This chapter presents findings from two tourism destinations: one on a national scale, New Zealand, and one on a regional scale, the Lofoten Islands, Norway. Our results show that destination demarketing mix strategies are emphasised by both destinations. In an overtourism situation, it is surprising that general demarketing has limited relevance. Instead, we find evidence for a mix of mainly selective demarketing, but also synchromarketing initiatives (redistributing demand spatially and temporally) and counter-marketing efforts (tourists' code of conduct). Decisions related to the implementation of a demarketing mix depend not only on destination management in general, but also on long-term, sustainability-oriented and dynamic processes where stakeholders negotiate how they can adjust visitor demands. We refer to such strategic work as ‘Stakeholder Integrated Demarketing Approach’ (SIDA). The chapter provides an original contribution to tourism academia and practices while opening avenues for future research, particularly with reference to a demarketing mix strategy and the feasibility of SIDA in times when demarketing could develop as a tool to mitigate overtourism.
A Neighbourhood Search for Artificial Bee Colony in Vehicle Routing Problem with Time Windows

: Artificial bee colony (ABC) is one of the widely used swarm intelligence algorithms in solving combinatorial optimization problems. In this study, the existing Modified ABC (MABC) algorithm is revised to solve the vehicle routing problem with time windows (VRPTW). The reason is that even though MABC is reported to be successful, its exploitation process lacks a selection neighborhood structure during the intensification process. The proposed algorithm, termed as enhanced Modified ABC (E-MABC), offers a neighborhood search that exchanges neighborhood structure between two different routes in the same solution, rather than one route. To evaluate the effectiveness of E-MABC, experiments are performed on 56 instances of VRPTW. The results of E-MABC are compared against the ones produced using MABC and other metaheuristic algorithms. Based on the total travel distance and number of vehicles, the proposed E-MABC is shown to be a solution for VRPTW. The interchange neighborhood search, which is implemented by bees during the exploitation process, improves the solution quality, hence producing an optimal outcome. The proposed E-MABC results are better as compared to MABC in terms of the total travel distance by 71.42 % and the number of vehicles by 35.71%.
Parent Attitudes Towards the Integration of Digital Learning Games as an Alternative to Traditional Homework

The COVID-19 pandemic caused children to distance learn at home, but with technical and pedagogic difficulties. Digital learning games offer effective tools for pedagogic difficulties, such as active and relevant learning. Using mixed-methods research, this study examined 1) parents' perceptions about digital learning games and 21st century skills and 2) parents' attitudes towards digital learning games instead of traditional homework. The findings are based on both qualitative (in-depth interviews) and quantitative (online survey) data. The results of the study revealed that parents do not object to replacing traditional homework with digital learning games. They saw digital learning games as relevant for their children's digital lives and acknowledged their potential to reduce arguments over homework. Therefore, digital learning games should be employed in school and as an alternative for traditional homework, both in routine and crisis, such as the COVID-19 pandemic.
Terahertz Photodetection with Type‐II Dirac Fermions in Transition‐Metal Ditellurides and Their Heterostructures

Transition‐metal dichalcogenides PtTe2, PdTe2, and NiTe2 deserve particular attention, due to the presence of type‐II Dirac fermions. As a matter of fact, tilted Dirac cones afford a suitable platform for optoelectronics of dissipation‐less carrier‐transport, favored by their ultrahigh carrier mobility, and large nonsaturating magnetoresistance. Herein, it is shown that PtTe2, PdTe2, and NiTe2 display high‐speed terahertz (THz) detection capability at room temperature, which originates from their peculiar band structure with topologically protected electronic states. Furthermore, photodetectors based on their heterostructures are able to suppress dark current with high‐performance detection of THz light. Furthermore, these crystals are stable in air and they can be easily exfoliated in nanosheets by liquid‐phase exfoliation, due to the weak interlayer van der Waals bonds. The obtained results clearly establish that the type‐II Dirac semimetals based on transition‐metal ditellurides have immense research potential for addressing application‐oriented issues for remote sensing and telecommunications.
Synthesis of Layered-Structure LiMn1xCrxO2 by the Pechini Method

LiMn 1 2 x Cr x O 2 compounds with an a -NaFeO 2 layer-type crystal structure have been prepared by the Pechini method. The effects of ethylene glycol ~ EG ! content and calcination temperature on powder characteristics and electrochemical performance are evaluated. It is found that the homogeneity of the powder is increased by increasing the molar ratio of EG to citric acid, and a trace of MnO can be detected in the powder calcined below 800°C for 4 h. Compared with the ss-LiMn 1 2 x Cr x O 2 powder ~ made by the solid-state reaction ! , the p-LiMn 1 2 x Cr x O 2 compound ~ made by the Pechini method ! yielded higher speciﬁc capacity for both charge and discharge, and the rate capability has been improved due to the smaller particle size and good homogeneity. The evolution of discharge curves with cycling shows that less additional spinel-type tetrahedral sites for Li formed during cycling of the p-LiMn 1 2 x Cr x O 2 compound.
Electrostatics of Conducting Cylinders and Spheres

Written by a recognized expert in the field, Electrostatics of Conducting Cylinders and Spheres presents the theory in a simple and physical way, beginning with basic principles and moving onto the details of electrostatics of pairs of spheres and of pairs of cylinders. The difficult topic of a finite charged cylinder is also covered. The book presents exact solutions, in closed form where possible, with recent and new results included. Applications to engineering, physical, chemical, and biological problems are also presented. Key topics include: •Fundamentals of the polarizability tensor and capacitance coefficients of an assembly of conductors. •Rigorous and thorough theoretical investigation of the electrostatics of spheres and cylinders. •Uniform formalism used in the solution for a rich array of problems. Theoretical and experimental physicists, chemists, and engineers will find this an invaluable reference. It is also suitable for advanced undergraduate and graduate students in electrodynamics.
Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data

Clouds and aerosols play a significant role in determining the overall atmospheric radiation budget, yet remain a key uncertainty in understanding and predicting the future climate system. In addition to their impact on the Earth’s climate system, aerosols from volcanic eruptions, wildfires, man-made pollution events and dust storms are hazardous to aviation safety and human health. Space-based lidar systems provide critical information about the vertical distributions of clouds and aerosols that greatly improve our understanding of the climate system. However, daytime data from backscatter lidars, such as the Cloud-Aerosol Transport System (CATS) on the International Space Station (ISS), must be averaged during science processing at the expense of spatial resolution to obtain sufficient signal-to-noise ratio (SNR) for accurately detecting atmospheric features. For example, 50% of all atmospheric features reported in daytime operational CATS data products require averaging to 60 km for detection. Furthermore, the single-wavelength nature of the CATS primary operation mode makes accurately typing these features challenging in complex scenes. This paper presents machine learning (ML) techniques that, when applied to CATS data, (1) increased the 1064 nm SNR by 75%, (2) increased the number of layers detected (any resolution) by 30%, and (3) enabled detection of 40% more atmospheric features during daytime operations at a horizontal resolution of 5 km compared to the 60 km horizontal resolution often required for daytime CATS operational data products. A Convolutional Neural Network (CNN) trained using CATS standard data products also demonstrated the potential for improved cloud-aerosol discrimination compared to the operational CATS algorithms for cloud edges and complex near-surface scenes during daytime.
CA125-Tn ELISA assay improves specificity of pre-operative diagnosis of ovarian cancer among patients with elevated serum CA125 levels

Background CA125 is the most widely used serum marker for preoperative diagnosis of ovarian cancer. However, CA125 elevation is not specific to ovarian cancer. More than 60% of patients who have elevated CA125 levels do not have ovarian cancer. To overcome the low specificity of CA125, we identified a CA125 glycoform that was specifically elevated in ovarian cancer and that may help in the further triage of patients with elevated serum CA125 levels. Methods We used antibody-lectin ELISA to detect various CA125 glycoforms. Among 21 lectins tested, VVA, a plant lectin that preferentially binds Tn antigen, showed significantly stronger binding with ovarian cancer-derived CA125 than benign condition-derived CA125. CA125-Tn levels were tested among patients with elevated CA125 levels (n=328, including 68 ovarian cancer, 15 ovarian borderline tumors, and 245 benign conditions). The efficacy of CA125-Tn in diagnosing ovarian cancer was evaluated using ROC analysis. Results Medians and 25th to 75th quartiles of CA125-Tn levels were 0.31 (0.18–0.65) in ovarian cancer, 0.07 (0.02–0.12) in ovarian borderline tumor, and 0.07 (0.01–0.12) in benign conditions. AUC of the ROC curve was 0.890 (95% CI: 0.845, 0.935) for CA125-Tn to discriminate ovarian cancer cases from nonmalignant cases (borderline tumors and benign conditions). Its performance was even better among patients older than 45 y (AUC: 0.905, 95% CI: 0.841, 0.969). Specificity was improved from 35.1% for CA125 to 75.7% for CA125-Tn among patients older than 45 y when sensitivity was fixed at 90%. Conclusions CA125-Tn ELISA assay can improve specificity of the preoperative diagnosis of ovarian cancer and serve as a further triage strategy for patients with elevated CA125 levels.
Design a Linear and Circular Polarization MIMO Antennas Based on Compact Size Configurations with High Isolation and Stable Gain Characteristics for CBand and WLAN / WiMAX Applications

This paper presents a compact linear and circular polarization multi-input multi-output (MIMO) antenna for wireless local area network (WLAN) / worldwide interoperability for microwave access (WiMAX) and C-band wireless communication systems. This work has been performed with two configurations of six-port MIMO antennas with a total size of 60 x 60 mm on low-cost FR-4 substrate. There are two rectangular slots one is situated on the upper part of the circular patch to radiate left hand circular polarization (LHCP) waves, and the other is located on the lower portion of the circular patch to emit right hand circular polarization (RHCP) waves. It is a wave absorbing slot that allows electromagnetic waves on one side to be separated from the other. Another design of the four elements is the structure that consists of four orthogonal radiators. The four feed-through pair antenna elements are located orthogonal to each other for best isolation and provide vertical and horizontal polarization. The two configurations have a broad bandwidth (640MHz and 400MHz), high efficiency (over 75 %), good isolation (>-20 dB), low correlation coefficient (<0.01), high channel capacity (22.5 bps/Hz), and stable gain characteristics. The proposed MIMO antenna is simple, generalized, and can be adapted for a broad range of frequencies. It was found that there is a close agreement between the measured/calculated antenna parameters and experimental performance.
Moroccan English Department Student Attitudes Towards the Use of Distance Education During COVID-19: Moulay Ismail University as a Case Study

The current study aims to investigate students' attitudes towards the use of distance education during COVID-19 in Morocco. The first cases of COVID-19 starting from the first weeks of March 2020 has obliged educational authorities to suspend face-to-face education. Immediately, distance education was declared the alternative means to complete the academic year. Moroccan TV channels started broadcasting lessons for different levels at different times. Moreover, teachers and students started using social media and university platforms to share lessons. However, not all students agree with distance education in the adopted format. Accordingly, the current study investigates the attitudes of Moroccan English Department students at Moulay Ismail University. A mixed-method design was adopted by triangulating data from five-point Likert scale questionnaires and a focus group. The results showed that students generally prefer face-to-face education rather than distance education. However, part-time students reported positive attitudes towards distance education. It is recommended that both distance education and face-to-face education should be planned by teachers, coordinators, and administrators.
Hybrid Gold Single Crystals Incorporating Amino Acids

Composite hybrid gold crystals are of profound interest in various research areas ranging from materials science to biology. Their importance is due to their unique properties and potential implementation, for example, in sensing or in bio-nanomedicine. Here we report on the formation of hybrid organic–metal composites via the incorporation of selected amino acids (histidine, aspartic acid, serine, glutamine, alanine, cysteine, and selenocystine) into the crystal lattice of single crystals of gold. We used electron microscopy, chemical analysis, and high-resolution synchrotron powder X-ray diffraction to examine these composites. Crystal shape, as well as atomic concentrations of occluded amino acids and their impact on the crystal structure of gold, was determined. Concentration of the incorporated amino acid was highest for cysteine, followed by serine and aspartic acid. Our results indicate that the incorporation process probably occurs through a complex interaction of their individual functional group.
Distributed scheduling problems in intelligent manufacturing systems

: Currently, manufacturing enterprises face increasingly ﬁerce market competition due to the various demands of customers and the rapid development of economic globalization. Hence, they have to extend their production mode into distributed environments and establish multiple factories in various geographical locations. Nowadays, distributed manufacturing systems have been widely adopted in industrial production processes. In recent years, many studies have been done on the modeling and optimization of distributed scheduling problems. This work provides a literature review on distributed scheduling problems in intelligent manufacturing systems. By summarizing and evaluating existing studies on distributed scheduling problems, we analyze the achievements and current research status in this ﬁeld and discuss ongoing studies. Insights regarding prior works are discussed to uncover future research directions, particularly swarm intelligence and evolutionary algorithms, which are used for managing distributed scheduling problems in manufacturing systems. This work focuses on journal papers discovered using Google Scholar. After reviewing the papers, in this work, we discuss the research trends of distributed scheduling problems and point out some directions for future studies.