Miracle-dz/UniFAR-FTUs huggingface dataset:
Task Containerization and Container Placement Optimization for MEC: A Joint Communication and Computing Perspective

Containers are used by an increasing number of Internet service providers to deploy their applications in multi-access edge computing (MEC) systems. Although container-based virtualization technologies significantly increase application availability, they may suffer expensive communication overhead and resource use imbalances. However, so far there has been a scarcity of studies to conquer these difficulties. In this paper, we design a workflow-based mathematical model for applications built upon interdependent multitasking composition, formulate a multi-objective combinatorial optimization problem composed of two subproblems—graph partitioning and multi-choice vector bin packing, and propose several joint task-containerization-and -container-placement methods to reduce communication overhead and balance multi-type computing resource utilization. The performance superiority of the proposed algorithms is demonstrated by comparison with the state-of-the-art task and container scheduling schemes.
Developing an Optimal Antiviral Method for the Air-filtration System of Subway Stations

A novel antiviral method was developed in this study for the air-filtration system of subway stations. Using a dry aerosol coating process, along with a spark discharger and carbon-brush-type ionizer, we developed a high-performance antiviral air filter. Herein, Ag nanoparticles were produced using a spark–discharge generation system with an ion-injection system and were employed as antiviral agents for coating onto a medium-grade air filter. Moreover, we tested the pressure drop in the filter as well as its filtration efficiency and antiviral ability against aerosolized bacteriophage MS2 virus particles as a surrogate of the severe acute respiratory syndrome coronavirus 2 during dust loading. Notably, the dust contamination caused an increase in the filtration efficiency and pressure drop, whereas the antiviral agents (herein, the Ag nanoparticles) did not have a significant effect in this regard. Based on this, we suggested a novel method to regenerate the antiviral effect of the antiviral air filter contaminated by the dust particles. Furthermore, a theoretical analysis of the antiviral ability and antiviral effect regeneration for the case of dust loading was performed using a mathematical model to evaluate the time-dependent antiviral effect of the filter. Our model can be applied to the antiviral air-filtration system of subway stations to prevent the pandemic spread and predict the life cycle of antiviral filters
Relation between Heald Motion and the SoundCaused by Shedding Motion on Weaving Machine

It is well known that weaving mills become noisy with increasing speed of a jet loom. One of the authors used the heald frames equipped with bar magnets in order to reduce the heald vibration, and reported that the disorder of the heald motion during shedding motion was improved. Then, sound heard by human ears seemed reduced, but there was no significant difference in the noise level measured with the noise-level meter.In this report, therefore, the high response sound measuring system was arranged in order to obtain the time chart of sound pressure level caused by healds during shedding motion. High-speed video-camera was also used in order to observe the healds motion. It was clarified that the noise was significantly connected with healds motion during shedding motion. Large sound occurred in two cases : when healds collided with the heald bar vertically near the upper dead point of shedding motion and when healds collided at random by rebounds around the lower dead point of shedding motion.
Perceived Stress, Psychological Flexibility Profiles, and Mental Health During COVID-19: A Latent Profile Analysis

Purpose Although the link between psychological flexibility and healthy functioning has been widely analyzed, the employed measurements often lacked accuracy. The current study introduced a person-centered approach that identified subgroups of college students across the dimensions of the Personalized Psychological Flexibility Index (PPFI) and explored how these subgroups relate to a risk factor (perceived stress) and mental health outcomes (depression, anxiety, negative affect, and positive affect) in the context of COVID-19. Methods A sample of 659 participants (Mage = 19. 99, SD = 1.27; 57.97% females) completed the questionnaires online. Latent profile analysis (LPA) was employed to determine the optimal number of subgroups or profiles. Then, multinomial logistic regression and analyses of variance were used to identify variables associated with profile membership. Results LPA identified three distinct profiles (active strategy, inconsistent strategy, and passive strategy). Furthermore, multinomial logistic regressions indicated that students with high perceived stress were more likely to be in the passive strategy group than the active strategy group (β = −0.104, OR = 0.901, p < 0.001) and the inconsistent strategy group (β = −0.087, OR = 0.917, p < 0.001). Additionally, analyses of variance revealed that the three profiles differed in depression (η2 = 0.062, p < 0.001), anxiety (η2 = 0.059, p < 0.001), negative affect (η2 = 0.047, p < 0.001), and positive affect (η2 = 0.048, p < 0.001). Conclusion The current study employed LPA based on the PPFI to identify and confirm three profiles of psychological flexibility. We found that perceived stress and mental health outcomes were associated with these three profiles. This study offers a new perspective on understanding psychological flexibility through a person-centered approach. Furthermore, interventions aimed at reducing college students’ perceived stress during the COVID-19 crisis are critical for preventing the deterioration of psychological flexibility.
Characterization of Ionotropic Receptor Gene EonuIR25a in the Tea Green Leafhopper, Empoasca onukii Matsuda

Ionotropic receptors (IRs) play a central role in detecting chemosensory information from the environment and guiding insect behaviors and are potential target genes for pest control. Empoasca onukii Matsuda is a major pest of the tea plant Camellia sinensis (L.) O. Ktze, and seriously influences tea yields and quality. In this study, the ionotropic receptor gene EonuIR25a in E. onukii was cloned, and the expression pattern of EonuIR25a was detected in various tissues. Behavioral responses of E. onukii to volatile compounds emitted by tea plants were determined using olfactometer bioassay and field trials. To further explore the function of EonuIR25a in olfactory recognition of compounds, RNA interference (RNAi) of EonuIR25a was carried out by ingestion of in vitro synthesized dsRNAs. The coding sequence (CDS) length of EonuIR25a was 1266 bp and it encoded a 48.87 kD protein. EonuIR25a was enriched in the antennae of E. onukii. E. onukii was more significantly attracted by 1-phenylethanol at a concentration of 100 µL/mL. Feeding with dsEonuIR25a significantly downregulated the expression level of EonuIR25a, after 3 h of treatment, which disturbed the behavioral responses of E. onukii to 1-phenylethanol at a concentration of 100 µL/mL. The response rate of E. onukii to 1-phenylethanol was significantly decreased after dsEonuIR25a treatment for 12 h. In summary, the ionotropic receptor gene EonuIR25a was highly expressed in the antennae of E. onukii and was involved in olfactory recognition of the tea plant volatile 1-phenylethanol. The present study may help us to use the ionotropic receptor gene as a target for the behavioral manipulation of E. onukii in the future.
Elevated Serum Aspergillus Fumigatus-Specific Immunoglobulin G in Type 2 Chronic Rhinosinusitis

Background: Aspergillus fumigatus-specific immunoglobulin G (Af-sIgG) has been applied to diagnose allergic bronchopulmonary aspergillosis, a hypersensitivity reaction to the colonization of the fungus in the lower airways. In the upper airways, it has been reported to be involved in allergic fungal rhinosinusitis and local fungal rhinosinusitis. However, in primary chronic rhinosinusitis (CRS), a more common upper airway disease, the role of Af-sIgG remains unclear. Objective: The aim of our study was to investigate the role of serum Af-sIgG levels in primary CRS patients. Methods: We prospectively recruited patients diagnosed with bilateral primary CRS and patients with nasal septal deviation as the non-CRS group. Patients in the primary CRS group were further classified into two endotypes, including type 2 (T2) and non-T2 groups. Serum samples collected were sent for Af-sIgG analysis. Potential factors and surgical outcomes were analyzed. Results: Forty-eight patients with a diagnosis of primary CRS (including 28 with T2 and 20 with non-T2 CRS) and 22 patients in the non-CRS group were recruited. The T2 CRS group had significantly higher serum Af-sIgG levels than the non-T2 CRS group (odds ratio 10.2 with Af-sIgG more than 27.6 mg/L; p < 0.001). Further multivariate logistic regression showed that the serum Af-sIgG level was the independent factor for early disease recurrence within one year in primary CRS patients. The optimal cutoff value of the serum Af-sIgG level to predict postoperative recurrence was 27.1 mg/L (odds ratio 15.1, p = 0.013). Conclusions: We suggest that the serum Af-sIgG level is a practical marker to detect T2 inflammation and the surgical outcome of primary CRS. By applying this feasible test, we may be able to achieve optimal treatment for every individual with primary CRS. This study may provide physicians with a reference for future clinical applications in dealing with primary CRS.
Lung Nodule Classification Using Supervised Manifold Learning Based on All-Class and Pairwise-Class Feature Extraction

Dimensionality reduction plays an important role in lung nodule classification,but in most of the existing methods,dimensionality is reduced with all classes being considered jointly,difference between feature subsets of different classes is ignored.In this paper,a supervised manifold feature extraction method based on fusion of all-class and pairwise-class is proposed,and an supervised multi-classifiers system of lung nodule classification is constructed.Experiments show a significant improvement in recognition accuracy.
A Rule-Based Bionic Energy Management System for Grid-Connected Community Microgrid Using Peer-to-Peer Trading With Rapid Settlement

This article applies the bionics theory to the design of energy management system (EMS) for the grid-connected community microgrid. Drawing lessons from the humoral regulation mechanism, a rule-based bionic EMS is proposed for the grid-connected community microgrid, with the aim of keeping the supply-demand level of the system approaching self-sufficiency in real time, so as to reduce the dependence of the community microgrid on the utility grid and improve the local utilization of distributed generations in the community microgrid. To realize the bionic EMS, a novel peer-to-peer trading model with rapid settlement is proposed. Fuzzy control is used to cope with the complex real-time control issue, and the basic principles of the adopted fuzzy controller are to maintain the supply-demand ratio close to 1 and extend battery life. Simulation results demonstrate that the bionic EMS has the ability to keep the real-time supply-demand level of the grid-connected community microgrid approaching self-sufficiency. Compared with the optimization-based EMS, the bionic EMS has excellent real-time performance and good robustness, and does not rely on prediction data. Experimental results on the testbed are consistent with the simulation results and validate the effectiveness and feasibility of the bionic EMS in the practical applications.
Motivation of Online Buyer Behavior

Buyer behavior of consumers plays one of the key roles in fulfillment of the main goals of a company. It is influenced by many external and internal factors but the company can also influence the final process of buyer decision-making process significantly by its activities. The subject matter of this article is an analysis of the features of online buyer behavior compared to the general regularities of buyer behavior, definition of the main motives of online shopping, and description of the current trends. The article uses the basic terminology of this subject and current bibliography as well as other resources. Theoretical knowledge is based on historic directions of Maslow’s theory of motivation where it is possible to find the basis for a buyer behavior analysis. The article is also based on the formerly carried out questionnaire survey which examines the motives and experience of the respondents with online shopping. By means of the independence test it is verified whether there is a relation between the age of respondents and motivation for online shopping. Subsequently, the survey carried out in person is compared with other relevant research solutions.
Psychometric Properties of the Translated Spanish Version of the Vaginal Penetration Cognition Questionnaire: A Preliminary Work for Validation

(1) Background: To develop an instrument in Spanish to assess beliefs and feelings about vaginal penetration and assess its psychometric properties. (2) Methods: This study translated and adapted the Vaginal Penetration Cognition Questionnaire into Spanish, and a total of 225 women who suffered from Genito-Pelvic Pain/Penetration Disorder were included in the study. The psychometric properties, including construct, convergent and discriminant validity, test–retest reliability, and internal consistency of the translated version were assessed. (3) Results: The Spanish version of the Vaginal Penetration Cognition Questionnaire is a valid, reliable, and consistent tool to assess beliefs and thoughts about vaginal penetration in women suffering from Genito-Pelvic Pain/Penetration Disorder. The exploratory factor analysis yielded four domains that explained 62.5% of the variance. Convergent and discriminant validity was also confirmed. Test–retest reliability was high, with an intraclass correlation coefficient value of 0.90, a standard error of measurement of 4.21, and a minimal detectable change of 11.66 points. Every domain also showed good internal consistency levels, with Cronbach’s α values ranging from 0.84 to 0.89. (4) Conclusion: The Spanish version of the Vaginal Penetration Cognition Questionnaire is a valid, reliable, and consistent tool to assess vaginal penetration cognition in women suffering from Genito-Pelvic Pain/Penetration Disorder.
Hyperspectral Image Denoising via Robust Subspace Estimation and Group Sparsity Constraint

Hyperspectral cameras capture electromagnetic information within hundreds of narrow spectral bands, producing hyperspectral images (HSIs) with the capability to accurately characterize the attribute information of objects. However, mixed noise induced by instrument and atmospheric effects hinders the interpretations and applications of the HSIs. In this article, we propose a novel subspace representation-based mixed noise removal method for HSIs via robust subspace estimation and weighted group sparsity constraint (RoSEGS). An outlier detection method is proposed to effectively detect sparse noise and replace the sparse noise with new estimates. A subspace estimation strategy, which is robust to mixed noise, is proposed. The subspace is first estimated after sparse noise detection and then optimized iteratively. In addition to the introduction of a state-of-the-art denoiser based on the plug-and-play technique to exploit self-similarity characteristics of the eigenimages, we impose a weighted group sparse regularization on the eigenimages to better promote the group sparsity of the spatial differences between the eigenimages, which further improves the denoising performance. We performed extensive experiments on two simulated and two real HSIs to fully demonstrate the effectiveness of the proposed method in comparison with seven state-of-the-art competitors.
Amphibious Robot With Self-Rotating Paddle-Wheel Mechanism

Marine transportation is an important means of transportation, in which ships are in constant use and accidents are unavoidable. In this article, we developed an amphibious robot to help rescue people in an accidental environment that is too low or dangerous for rescuers to enter. Angled spoke paddling wheel (ASPW) makes it possible to drive on the water surface, while taking advantage of the angled spoke wheel (ASW). The ASPW changes the paddle force by rotating the paddle when the wheel rotates so that the total force is generated in the direction of the robot's movement. The paddle is optimized using the Taguchi method. The driving experiment was conducted in four environments: ground, water surface, transition between ground and water, and obstacle overcoming situation. The maximum driving speed was 0.47 m/s on the ground and 0.1 m/s on the water surface. The maximum average inclination degree in the transition situation was 25<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> from the ground to the water surface and 20<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> from the water surface to the ground. In addition, it was possible to overcome an obstacle with a maximum height of 41.3 mm, demonstrating that the proposed robot excels in amphibious driving, while possessing the ability to overcome the ASW level obstacle.
Harris correlation and feature matching

An image feature based on image gradient is proposed,called Harris correlation.It is used to construct feature descriptors including point descriptor,line descriptor as well as curve descriptor.These feature descriptors are invariant to image rotation and linear intensity changes.Constructing descriptors for both line and curve explores a new way for line and curve matching.Experimental results show that the point descriptor performs well on image transformations,and the line and curve descriptors are effective in real image matching as well.
Clinicians’ and Users’ Views and Experiences of a Tele-Mental Health Service Implemented Alongside the Public Mental Health System during the COVID-19 Pandemic

A tele-mental health model called Head to Health was implemented in the state of Victoria, Australia to address the crisis caused by the COVID-19 pandemic. It was a free centralized intake service that adopted a targeted approach with several novel elements, such as stepped care and telehealth. This study examines the views and experiences of clinicians and service users of the tele-mental health service in the Gippsland region of Victoria during the COVID-19 pandemic. Data from clinicians were obtained via an online 10-item open-ended survey instrument and from service users through semi-structured interviews. Data were obtained from 66 participants, including 47 clinician surveys and 19 service user interviews. Six categories emerged from the data. They were: ‘Conditions where use of tele-mental health is appropriate’, ‘Conditions where tele-mental health may not be useful’, ‘Advantages of tele-mental health’, ‘Challenges in using tele-mental health’, ‘Client outcomes with tele-mental health’, and ‘Recommendations for future use’. This is one of a few studies where clinicians’ and service users’ views and experiences have been explored together to provide a nuanced understanding of perspectives on the efficacy of tele-mental health when it was implemented alongside public mental health services.
Conditions of submarine levéed channel inception: Examination by flume experiments

Submarine levéed channels are often observed in submarine fans, although submarine fans without continuous levéed channels are also common depending on the composition of supplied sediments, particularly the proportion of muddy/sandy materials. However, parameters governing the inception of levéed channels have not yet been studied. Furthermore, depositional levéed channel topography has not been simulated in experimental flumes in any previous study conducted with dilute flows (flow concentration <10%). Herein, four experimental series were conducted (Series A, B, C and D) to simulate depositional submarine channels and to study their formative conditions. A mixture of sediment and saline water was used in the experiments, and both the width of an outlet diffuser and flow discharge rate were varied in the experimental series. A topography composed of a channel with two ridges resembling natural depositional submarine channels with levées was formed in all experiments. Comparisons between the experimental topographies and natural submarine fans revealed that two of the four experimental series produced channel levées with length to width ratios similar to those produced by natural systems. An experiment with half the outlet size produced a channel two times deeper (4.5 cm against 2.0 cm and 2.2 cm) as compared to other experiments. The flow discharge rate and outlet width were half of those observed in Series A and B. Furthermore, salt was removed from the initial mixture for one of the experiments, resulting in high natural levées with a short channel. This study demonstrated that dilute flows could form purely depositional channel levées without precursor or resultant erosive features. In addition, results revealed that the formation of submarine channels is related to two factors: channel width and muddy suspended sediment.
A total error-based multiquadric method for surface modeling of digital elevation models

Digital elevation model (DEM) source data are subject to both horizontal and vertical errors owing to improper instrument operation, physical limitations of sensors, and bad weather conditions. These factors may bring a negative effect on some DEM-based applications requiring low levels of positional errors. Although classical smoothing interpolation methods have the ability to handle vertical errors, they are prone to omit horizontal errors. Based on the statistical concept of the total least squares method, a total error-based multiquadric (MQ-T) method is proposed in this paper to reduce the effects of both horizontal and vertical errors in the context of DEM construction. In nature, the classical multiquadric (MQ) method is a vertical error regression procedure, whereas MQ-T is an orthogonal error regression model. Two examples, including a numerical test and a real-world example, are employed in a comparative performance analysis of MQ-T for surface modeling of DEMs. The numerical test indicates that MQ-T performs better than the classical MQ in terms of root mean square error. The real-world example of DEM construction with sample points derived from a total station instrument demonstrates that regardless of the sample interval and DEM resolution, MQ-T is more accurate than classical interpolation methods including inverse distance weighting, ordinary kriging, and Australian National University DEM. Therefore, MQ-T can be considered as an alternative interpolator for surface modeling with sample points subject to both horizontal and vertical errors.