Miracle-dz/UniFAR-FTUs huggingface dataset:
GAN‐based deep neural networks for graph representation learning

Graph representation learning has attracted increasing attention in a variety of applications that involve learning on non‐Euclidean data. Recently, generative adversarial networks(GAN) have been increasingly applied to the field of graph representation learning, and large progress has been made. However, most GAN‐based graph representation learning methods use adversarial learning strategies directly on the update of the vector representation instead of the deep embedding mechanism. Compared with deep models, these methods are less capable of learning nonlinear features. To address this problem and take full advantage of the essential advantages of GAN, we propose to use adversarial idea on the reconstruction mechanism of deep autoencoders. Specifically, the generator and the discriminator are the two basic components of the GAN structure. We use the deep autoencoder as the discriminator, which can capture the highly nonlinear structure of the graph. In addition, the generator another generative model is introduced into the adversarial learning system as a competitor. A series of empirical results proved the effectiveness of the new approach.
Energy-efficient fault-tolerant scheduling techniques for dependable real-time systems

In a dependable real-time system including microprocessors, memory and I/O devices, microprocessors can be used by Dynamic Voltage/Frequency Scaling (DVFS) to reduce energy consumption. Introduction of fault-tolerance schemes render such technique unsuitable since fault-tolerant schedules have several unique characteristics. My research makes the following contributions: (1) The investigation of the feasibility of task-set schedule on a multi-processor system under the impact of fault; (2) The investigation of minimizing processor energy consumption under the impact of fault for uni-processor system; (3) The investigation of minimizing processor energy consumption under the impact of fault for multi-processor system. Based on the first investigation, I propose a methodology to investigate the design of energy-efficient and reliable real-time systems. Based on the second and third investigation, an innovative algorithm to convert system reliability requirements to fault tolerance requirements is proposed. I also propose a heuristic algorithm to find a close-to-optimal frequency policy in polynomial time. Experimental results show that the results obtained by the proposed algorithm are within 4% difference from the optimal results obtained by solving the ILP formulation.
Enhancing the Effectiveness of Virtual and Offshore Project Teams: Guidelines for Best Practice

The literature on management of virtual and offshore project teams contains numerous examples of the ways in which such projects can fail. Typically, the failures relate to one or more of the three cornerstones of project management: the time frame is not adhered to; costs exceed the budget; the quality of the end product does not meet expectations. In most cases, both the cause and the solution lie in human rather than technical factors. This short paper, based on a literature survey and the author’s own experience of working with an offshore e-learning content producer, offers a list of guidelines for managers of virtual and offshore project teams to help them avoid the most common pitfalls and reap the benefits of global collaboration. 1. Introduction
Animal Welfare and the Acknowledgment of Cultural Differences

Simple Summary Most pigs worldwide are in modern, commercial, indoor farms. There is debate on whether or not modern pig production systems meet all the needs of the animals. Pigs are able to perceive and feel and have mental capabilities that warrant attention to their welfare. The degree of on-farm animal welfare oversight varies around the world. Science is used to set animal welfare rules. However, science sometimes conflicts with cultural values (ex., religious slaughter). The focus of many animal welfare rules do not address the most significant problems on modern commercial pig farms. We believe that we should use science to determine the animal welfare needs of farm pigs but with a healthy respect for cultural differences in the ethics of animal care. We should also prevent economic neo-colonialism from forcing Western views on other cultures. Abstract Pigs are considered sentient beings that have a mental capability that warrants attention to their welfare. Cultural values towards animal welfare differ in world regions. Still, authors have argued for worldwide harmonization of animal welfare rules. At the same time, the focus of many animal welfare rules do not address the most significant problems on modern commercial pig farms. The foci of animal welfare rules are often on space (quantity and quality), acute painful practices, equipment, and caretaker behavior. However, most serious animal welfare issues are related to episodic events such as compromised pigs, lack of appropriately skilled staff, and human behavior (or lack thereof) towards animals. Modern technologies such as image, sound, and building oversight by automated systems can potentially provide better individual pig care. The future should bring us solutions to identify and resolve episodic negative animal welfare events. The other issues of space and painful practices are best improved by using science-based solutions. We propose that science be the key resource to making animal welfare decisions, but with a healthy appreciation and respect for cultural differences in our views of animals and the economic impact of rules. Colonialism is not viewed positively today, and economic neo-colonialism should not be allowed to replace it. Respect for cultural differences should play a role in animal welfare rules within and among countries.
Multiple Recent Colonizations of the Australian Region by the Chydorus sphaericus Group (Crustacea: Cladocera)

Biotic introductions are an ongoing disruption for many ecosystems. For passively dispersed freshwater zooplankton, transcontinental introductions have been common but are poorly studied in the southern hemisphere. Here we assess the hypothesis of recent introduction for populations of the Chydorus sphaericus group (Crustacea: Cladocera) in Australia. We analyzed 254 sequences (63 original sequences) from the cytochrome oxidase I region of mitochondrial DNA of Chydorus sp. , which included global representation. Three Australian populations were connected with separate clades in the northern hemisphere, suggesting multiple colonization events for Australia. The timescale of the divergences was consistent with recent (Quaternary) dispersal. As Australian populations are exposed to migrating birds from the northern hemisphere, both avian and anthropogenic sources are candidates for dispersal vectors. We concluded that recent cross-hemisphere dispersal in the Chydorus sphaericus group is more common than previously believed.
diagnostic value of ultrasound in detection and diagnosis of plantar fasciitis in diabetic foot patient in comparison with magnetic resonance imaging

Background: Ultrasound has proved its ability to detect changed associated with plantar fasciitis (PF). However, magnetic resonance imaging (MRI) is still the gold standard technique for the diagnosis of such condition. Aim of the work : This study was conducted to evaluate the diagnostic capability of ultrasonography for the detection of plantar fasciitis in comparison with MRI in diabetic foot patients. Subjects and methods: This prospective case control study included 40 subjects; 30 cases diagnosed with PF in addition to 10 controls. All subjects were subjected to history taking, clinical examination, plantar US and MRI examination for assessment of PF signs. Results: Basic demographics were comparable between cases and controls. By both US and MRI, plantar fascial thickness showed a significant increase, in both longitudinal and transverse planes, in cases compared to controls. US had sensitivity and specificity of 92.6 and 100% respectively, with a diagnostic accuracy of 93.3% for the detection of focal thickening and fascial abnormal signaling. US had sensitivity and specificity of 94.4 and 100% in detecting soft tissue edema, while it had poor sensitivity for calcaneal spur, and no sensitivity for bone marrow edema. Conclusion: US could be considered as good alternative tool compared to MRI in the diagnosis of PF, as it was able to detect most signs of such pathology. However, it is recommended to be performed by an experienced radiologist.
Attitudes and behavioral intentions of aortic dissection survivors towards exercise: an application of the health action process approach framework.

BACKGROUND Exercise can help patients with aortic dissection (AD) control blood pressure, prevent further progression of AD, promote mental health, improve the prognosis of cardiovascular disease, and improve their overall quality of life. However, it is not clear what the attitudes and behavioral intentions of AD survivors are towards exercise. METHODS This exploratory qualitative research was based on the Health Action Process Approach (HAPA) theory to explore the cognition, attitude, motivational factors, behavior intention, barriers and facilitators of exercise in patients with AD. Face-to-face and telephone semi-structured interviews were conducted in 24 AD patients from the Department of Cardio-Vascular Surgery of third-grade Class A hospitals in Wuhan, China from April 2021 to June 2021. The patient's current stage of behavior was evaluated according to the Patient-Centered Assessment and Counseling for Exercise (PACE) questionnaire. RESULTS Among the 24 participants interviewed, 9 (37.5%) were in the pre-intention stage, 8 (33.3%) were in the intention stage, and 7 (29.2%) were in the action stage. The three groups were significantly different in terms of their history of previous cardiac surgery (Fisher's exact test, p = 0.043) and in the type of interview conducted (Fisher's exact test, p < 0.001). In-patients with a history of cardiac surgery were more likely to be in the pre-intention stage (post-hoc test, p < 0.05). Patients from different stages had different structures. AD patients in the pre-intention stage were more likely to express risk perception and negative results for exercise. The self-efficacy of this group was often low, and lacked exercise intention and clear action plans (post-hoc test, p < 0.05). CONCLUSIONS More attention should be paid to in-patients with a history of cardiac surgery, including health advice on exercise after discharge and promotion of changes in their health behavior. Guidelines based on the available exercise data in AD patients should be established to provide recommendations for individualized exercise programs. This should provide a basis for promoting patient rehabilitation and improving postoperative quality of life.
From Transportation Fatigue Research to Effective Practice: The Case for Evaluation

A golden age of research in the fields of sleep, circadian rhythms, and shift work has arrived. Each of these seemingly independent scientific disciplines has rendered tremendous progress over the past few decades that converge into a core body of research with direct applications for mitigating transportation fatigue and fatigue-related accidents. A common understanding now exists regarding key factors associated with transportation fatigue and related accidents across transportation domains. A variety of validated countermeasures and practical tools known to mitigate fatigue and accident risk have been developed. Despite this common knowledge of fatigue risk factors and known effective countermeasures among the research community, numerous challenges remain in bridging the gap between transportation fatigue research and effective real-world practice. Tracing the history of evaluation in response to the federal mandate for evaluation, including its roles, theories and methods, and evidence from the 2009 International Conference on Fatigue Management in Transportation, we propose the transdiscipline of evaluation as a mechanism for bridging this gap. Each chapter in this volume of Reviews of Human Factors and Ergonomics was reviewed using an evaluative framework that focused on five broad evaluative question areas: (a) authors' main points, arguments, and conclusions with respect to context, program design, implementation, and impact; (b) authors' key recommendations; (c) gaps and deficiencies, if any, in authors' recommendations; (d) the most promising approaches for practical use; and (e) evaluation considerations for facilitating research use and practical applications. These evaluative question areas then were synthesized across chapters for common themes, gaps and deficiencies, and most promising approaches. The extent to which chapters respond to the federal evaluation mandate with respect to context, program design, implementation, and impact is discussed. In conclusion, drawing from the vast knowledge and experience in the evaluation field, a case is made for using five key evaluation principles to help bridge the gap between transportation fatigue research and effective practice, including core evaluation questions, stakeholder engagement, utilization-focused data and information gathering, valid and relevant findings, and targeted reporting. Keywords: Driver distraction; Language: en
A Review on the Commonly Used Methods for Analysis of Physical Properties of Food Materials

The chemical composition of any food material can be analyzed well by employing various analytical techniques. The physical properties of food are no less important than chemical composition as results obtained from authentic measurement data are able to provide detailed information about the food. Several techniques have been used for years for this purpose but most of them are destructive in nature. The aim of this present study is to identify the emerging techniques that have been used by different researchers for the analysis of the physical characteristics of food. It is highly recommended to practice novel methods as these are non-destructive, extremely sophisticated, and provide results closer to true quantitative values. The physical properties are classified into different groups based on their characteristics. The concise view of conventional techniques mostly used to analyze food material are documented in this work.
EVALUATION OF WEB SPAM BEHAVIOUR ON ARABIC WEBSITES POPULARITY

The expansion of the information in the Web increased the Websites roles which present the importance of the information they provide. Many Webmasters try to inject misleading or marketing information and links that may eventually impact the value and reliability of provided information. Search engines and Web users need to detect and distract reliable information from such noise or extra information. In this paper, we collected the top 100 popular Arabic Websites from the Search Engine Results Page (SERP), using the top 10 most popular Arabic keywords, and used them as a case study. We evaluated these Websites using the main Web spam features. The results showed that some of these popular Websites are using illegal and Web spam techniques in order to boost their ranks within (SERP).
Diagnosis of Esophageal Lesions by Multi-Classification and Segmentation Using an Improved Multi-Task Deep Learning Model

It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal endoscopic screening due to visual similarities among different lesions in terms of shape, size, and texture among patients. Additionally, endoscopists are busy fighting esophageal lesions every day, hence the need to develop a computer-aided diagnostic tool to classify and segment the lesions at endoscopic images to reduce their burden. Therefore, we propose a multi-task classification and segmentation (MTCS) model, including the Esophageal Lesions Classification Network (ELCNet) and Esophageal Lesions Segmentation Network (ELSNet). The ELCNet was used to classify types of esophageal lesions, and the ELSNet was used to identify lesion regions. We created a dataset by collecting 805 esophageal images from 255 patients and 198 images from 64 patients to train and evaluate the MTCS model. Compared with other methods, the proposed not only achieved a high accuracy (93.43%) in classification but achieved a dice similarity coefficient (77.84%) in segmentation. In conclusion, the MTCS model can boost the performance of endoscopists in the detection of esophageal lesions as it can accurately multi-classify and segment the lesions and is a potential assistant for endoscopists to reduce the risk of oversight.
Antimicrobial Activities and Antioxidant Properties of Bacillus Mojavensis I4 Lipopeptides and Application in the Biocontrol of Potato Dry Rots Caused by Fusarium Solani

Lipopeptides are diverse metabolites produced by various bacterial and fungal genera known for their antimicrobial and surfactant activities with diverse environmental, pharmaceutical application and also agronomic applications as biocontrol agents. In this study, the presence of NRPS genes in Bacillus mojavensis I4 was confirmed by PCR and this bacterial strain could produce diverse lipopeptides which belonged to fengycin, and surfactin families. The antioxidant activity of I4 biosurfactants was determined through four different in vitro assays. Furthermore, antimicrobial activity assays indicated that I4 lipopeptides exhibited marked inhibitory activity against several bacterial and fungal strains. The I4 lipopeptides were effective in the biocontrol of Fusarium solani that causes potato dry rot disease. Preventive treatment decreased the fungi penetration by almost 80 % after 15 days. This finding suggested promising application of I4 lipopeptides in potato tuber storage.
Effect of Residential Background and Gender on Self-Construal of the Adolescent

The present paper is based on the study that describes the impact of residential background and gender on the self-construal of the adolescents. The concept of self-construal evolved from a comparison of Western and Eastern conceptualizations of the self (Markus & Kitayama, 1991). It refers to the perception, that individual have about their thoughts, feelings and actions in relation to others. In the present study effort were made to explore the impact of residential background and gender on self-construal of the children. To achieve this, data were obtained on 100 students of which 50 were girls and 50 were boys. Out of 50, 25 were local (Bhopali) & 25 were kashmiri girls and boys. Standard tools assessing self-construal were used in this study. Relationship between residential background and self-construal were examined. Result indicated that residential background and gender was positively related with self-construal.
Orthogonal orientation‐shifted U‐slotted stacked antenna array for dual‐band applications

A dual‐band orthogonal orientation‐shifted U‐slotted stacked antenna array is presented in this article for long‐term evolution (LTE) and wireless local area network (WLAN) applications covering the frequency of 2.6 and 5.8 GHz. U‐slotted are integrated in radiating patches with one side of the array U‐slot is shifted by orthogonal orientation from its actual position. FR‐4 substrate with 5‐mm air gap from Aluminum (Al) plate ground plane is designed to form the stacked structure. Two main U‐slotted patches are connected with simple quarter wavelength transmission line designed at the reverse side of FR‐4 substrate using copper via with another four U‐slotted patches are coupled parasitically offering simple array structure. It is found that combination of normal and orthogonal orientation‐shifted U‐slotted patches with four parasitic patches assist the antenna array to realize dual‐band operation. Moreover, the unwanted frequency of 3.9 and 4.5 GHz are notched out as well by the presence of parasitic patches. This leaving the proposed antenna with the only two desired frequency band of 2.6 GHz with −16.663 dB reflection coefficient while −22.261 dB at 5.8 GHz. The proposed antenna is simple, compact in size and stated high gain of 8.63 dBi at 2.6 GHz and 7.31 dBi at 5.8 GHz, respectively. The antenna recorded good agreement between the simulation and measurement results for reflection coefficient, E‐plane and H‐plane radiation pattern. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:985–989, 2016
Compact diplexers and triplexers implemented with dual-mode cavities

In this paper, the design of compact diplexers and triplexers with dual-mode cavities is presented. Such devices are composed of coupled resonators without additional waveguide element, leading to a more compact architecture. Two topologies of compact diplexers are implemented and compared to a standard manifold diplexer. A hardware prototype is fabricated and measured for experimental verification. A compact triplexer is finally introduced for extending the concept to more than three ports.
Dynamic Guidance for Declutering Photographic Compositions

Unwanted clutter in a photo can be incredibly distracting. However in the moment, photographers have so many things to simultaneously consider, it can be hard to catch every detail. Designers have long known the benefts of abstraction for seeing a more holistic view of their design. We wondered if, similarly, some form of image abstraction might be helpful for photographers as an alternative perspective or “lens” with which to see their image. Specifcally, we wondered if such abstraction might draw the photographer’s attention away from details in the subject to noticing objects in the background, such as unwanted clutter. We present our process ∗This work was done while Kevin Y. Zhai was at Stanford University. for designing such a camera overlay, based on the idea of using abstraction to recognize clutter. Our fnal design uses object-based saliency and edge detection to highlight contrast along subject and image borders, outlining potential distractors in these regions. We describe the implementation and evaluation of a capture-time tool that interactively displays these overlays and fnd that the tool is helpful for making users more confdent in their ability to take decluttered photos that clearly convey their intended story.
Lane Point Cloud Prediction for Autonomous Driving

3D lane detection is an essential functionality for Self-driving cars to stay within upcoming lane boundaries. We present a deep learning model for predicting the point clouds representing arbitrary lane curves from an image of the front facing view of a simulated autonomous vehicle. We also introduce an approach for gathering a dataset to train this model when specialized 3D sensing tools such as Li-DAR are unavailable. Results show that our model is able to accurately predict the lane point clouds from a single image however highest accuracy is usually only achieved when the image is taken from the center of the track.
CapFS: A new perspective on GDP filesystems

The Global Data Plane (GDP) is a data-centric narrow-waist infrastructure that transports ​ cryptographically hardened bundles of data, called DataCapsules. The nature of DataCapsules as secure single-writer append-only logs makes it an ideal tool for data-storage. This motivates us to build a use case on top of DataCapsules utilizing its security, authenticity, and replication. Past work has done on demonstrating the concept of file system layering on GDP such as GDPFS (reference here). GDPFS with its tree-like index was designed to optimize random file access, but its thin-layered architecture on top of append-only logging infrastructure significantly limits multi-user capability. Recent research (reference) performed on file system access patterns indicated the rarity of random reads and writes, but GDPFS is not optimized for that workload. To handle these limitations, we proposed CapFS, an inode-indexed file system with multi-user support on top of GDP infrastructure.