Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Characterization of m6A Modifications in Non-Clear Cell Renal Cell Carcinoma and Potential Relationship with Pathological Types

Background N6-Methyladenosine (m6A) modification is a eukaryotic mRNA modification that modulates the fate of modified RNA and, therefore, the expression of proteins. m6A modifications are associated with important roles in several cancers. Most studies related to m6A modification are based on clear cell renal cell carcinoma (ccRCC) and little is known about its role in non-ccRCC. Methods We summarized the molecular features of different m6A modification patterns in non-ccRCC based on The Cancer Genome Atlas database and correlated them with phenotypes such as immune patterns and prognosis. We also computed the m6Ascore and assessed its prognostic value using multivariate Cox regression analysis. Results We found the immune-excluded phenotype to be predominant in non-ccRCC patients. We also found that in non-clear cell carcinoma, different m6A modification profiles determine different immune patterns and are associated with different prognosis. m6AgeneCluser typing strongly associated with pathological status. Based on our findings, we suggest that the m6Ascore can be used as an independent prognostic value for prognostic assessment in non-ccRCC. Conclusion This study confirms the important role of m6A modifications in non-ccRCC, reveals the heterogeneity of tumor immunity, and highlights the promise of non-ccRCC therapy.
Heat Transfer Analysis of a Co-Current Heat Exchanger with Two Rectangular Mini-Channels

This paper presents the results of research on heat transfer during fluid flow in a heat exchanger with two rectangular mini-channels. There was Fluorinert FC-72 flow, heated by the plate in the hot mini-channel, and co-current flow of distilled water in the cold mini-channel. Both fluids were separated by the copper plate. A thermal imaging camera was used to measure the temperature distribution of the outer surface of the heated plate. The purpose of the calculations was to determine the heat transfer coefficients at the contact surfaces: the heated plate—FC-72 and FC-72—the copper plate. Two mathematical models have been proposed to describe the heat flow. In the 1D approach, only the heat flow direction perpendicular to the fluid flow direction was assumed. In the 2D model, it was assumed that the temperature of the heated plate and FC-72 and the copper plate meet the appropriate energy equation, supplemented by the boundary conditions system. In this case, the Trefftz functions were used in numerical calculations. In the 1D model, the heat transfer coefficient at the interface between FC-72 and the copper plate was determined by theoretical correlations. The analysis of the results showed that the values and distributions of the heat transfer coefficient determined using both models were similar.
An Enhanced Intrusion Detection Model Based on Improved kNN in WSNs

Aiming at the intrusion detection problem of the wireless sensor network (WSN), considering the combined characteristics of the wireless sensor network, we consider setting up a corresponding intrusion detection system on the edge side through edge computing. An intrusion detection system (IDS), as a proactive network security protection technology, provides an effective defense system for the WSN. In this paper, we propose a WSN intelligent intrusion detection model, through the introduction of the k-Nearest Neighbor algorithm (kNN) in machine learning and the introduction of the arithmetic optimization algorithm (AOA) in evolutionary calculation, to form an edge intelligence framework that specifically performs the intrusion detection when the WSN encounters a DoS attack. In order to enhance the accuracy of the model, we use a parallel strategy to enhance the communication between the populations and use the Lévy flight strategy to adjust the optimization. The proposed PL-AOA algorithm performs well in the benchmark function test and effectively guarantees the improvement of the kNN classifier. We use Matlab2018b to conduct simulation experiments based on the WSN-DS data set and our model achieves 99% ACC, with a nearly 10% improvement compared with the original kNN when performing DoS intrusion detection. The experimental results show that the proposed intrusion detection model has good effects and practical application significance.
Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies

As a result of fossil fuel prices and the associated environmental issues, electric vehicles (EVs) have become a substitute for fossil-fueled vehicles. Their use is expected to grow significantly in a short period of time. However, the widespread use of EVs and their large-scale integration into the power system will pose numerous operational and technical challenges. To avoid these issues, it is essential to manage the charging and discharging of EVs. EVs may also be considered sources of dispersed energy storage and used to increase the network’s operation and efficiency with reasonable charge and discharge management. This paper aims to provide a comprehensive and updated review of control structures of EVs in charging stations, objectives of EV management in power systems, and optimization methodologies for charge and discharge management of EVs in energy systems. The goals that can be accomplished with efficient charge and discharge management of EVs are divided into three groups in this paper (network activity, economic, and environmental goals) and analyzed in detail. Additionally, the biggest obstacles that EVs face when participating in vehicle-to-grid (V2G) applications are examined in this paper.
An Integrated IT Governance model: A way toward the success of the IT projects.

IT and the way it is used in organizations has always been a main obsession for managers. There have appeared diverse management models and methodologies in organizations for the success of IT projects. (3)(7)(12)(13). Using management reference models, we are to present a model to improve IT projects and their practicality. In this regard, we used management models and concepts along with IT Governance approach. We came to prove that many factors which can cause a project come to failure can indeed be corrected via using the concepts and methodologies of IT Governance. The proposed model presents the overall processes of a project in three categories: planning, operating and evaluating. Such categories are based on IT Governance. On the other hand, the proposed model presents the processes of a project in four layers: PreProject, Project (divided to 2 layers) and PostProject. Such categorization is formed by means of the project life cycle. To prove the practicality of the proposed model we devised questionnaires based on the principles emphasized in the model and we have asked about the managers' and reporters' ideas about the proposed model. In the next step, based on the comparison of the received feedbacks and answers we analyzed different subject matters such as the effect of the projects on the organization and vice versa, the expected value evaluating the practicality and how such practicality should come to realization. At the end, the findings proved that the proposed model based on IT Governance approach has the capacity to present the key and effective issues. The model has also the capacity to have an integrative approach on the whole processes of pre-project, project and post-project.
An Analysis of the Linguistic Features of Popular Chinese Online Fantasy Novels

ABSTRACT Previous studies found that linguistic features can be used to predict the success of novels. However, which specific linguistic features better contribute to a novel’s popularity is unclear. This study addressed this issue by investigating the linguistic features of 2,008 online Chinese fantasy novels with different popularity (indicated by the Baidu Index). Specifically, word part-of-speech, personal pronouns, word complexity, and local/overall sentence semantic coherence were analyzed using a word segmentation tool (Jieba) and a latent semantic analysis software (Chinese version of Coh-Metrix). Results showed significant differences between popular and non-popular (high and low popularity) novels in the distribution of parts-of-speech, use of the second person pronoun, word complexity, and sentence semantic coherence. Moreover, the presence of the second person pronoun (“you”), local sentence semantic coherence, auxiliary words, word complexity, overall sentence semantic coherence, and adjectives better predicted the popularity of a Chinese online fantasy novel. The theoretical background and the implications of these results are detailed in the study discussion.
Variation in essential oil constituents of coriander (Coriandrum sativum L.) germplasm across coriander growing regions in India

ABSTRACT Variations in essential oil composition of 148 coriander (Coriandrum sativum L.) germplasms collected from various geographical locations in India were evaluated. Essential oil content was ranging from 0.04 to 0.27%. Eleven major compounds including α-pinene, camphene, β-pinene, myrcene, cymene, γ-terpinene, linalool, 4-allyl anisole, geraniol, anethole and geranyl acetate were detected in all the germplasm lines, with linalool as most abundant compound ranged from 16.59% to 96.69%. Another predominant compound observed was geranyl acetate, content of which ranged between 0.085 - 60.95%. Terpenoids consisting of α-pinene, β-pinene, camphene, myrcene, cymene and γ-terpinene accounted for up to 13.32% of essential oil. A significant negative correlation (r−0.811) was observed between linalool and geranyl acetate. Further, the germplasms were grouped in different classes as per major essential oil constituents. Cluster analysis was done using Ward’s method based on the value of linalool, α-pinene, γ-terpinene and geranyl acetate, resulted in 10 distinct groups of germplasms.
Multi-layer features template update object tracking algorithm based on SiamFC++

SiamFC++ only extracts the object feature of the first frame as a tracking template, and only uses the highest level feature maps in both the classification branch and the regression branch, so that the respective characteristics of the two branches are not fully utilized. In view of this, the present paper proposes an object tracking algorithm based on SiamFC++. The algorithm uses the multi-layer features of the Siamese network to update template. First, FPN is used to extract feature maps from different layers of Backbone for classification branch and regression branch. Second, 3D convolution is used to update the tracking template of the object tracking algorithm. Next, a template update judgment condition is proposed based on mutual information. Finally, AlexNet is used as the backbone and GOT-10K as training set. Compared with SiamFC++, our algorithm obtains improved results on OTB100, VOT2016, VOT2018 and GOT-10k data sets, and the tracking process is real time.
A Molecular and Epidemiological Description of a Severe Porcine Reproductive and Respiratory Syndrome Outbreak in a Commercial Swine Production System in Russia

Porcine reproductive and respiratory syndrome (PRRS) is an economically devastating disease of swine in many parts of the world. Porcine reproductive and respiratory syndrome virus (PRRSV) type 1 is endemic in Europe, and prevalence of the subtypes differ spatially. In this study, we investigated a severe PRRS outbreak reported in 30 farms located in eastern Russia that belong to a large swine production company in the region that was also experiencing a pseudorabies outbreak in the system. Data included 28 ORF5 sequences from samples across 18 of the 25 infected sites, reverse transcriptase real-time polymerase chain reaction (RT-qPCR) results from diagnostic testing, reports of clinical signs, and animal movement records. We observed that the outbreak was due to two distinct variants of wildtype PRRSV type 1 subtype 1 with an average genetic distance of 15%. Results suggest that the wildtype PRRSV variants were introduced into the region around 2019, before affecting this production system (i.e., sow farms, nurseries, and finisher farms). Clinical signs did not differ between the variants, but they did differ by stage of pig production. Biosecurity lapses, including movement of animals from infected farms contributed to disease spread.
Identification of Priority Conservation Areas for Natural Heritage Sites Integrating Landscape Ecological Risks and Ecosystem Services: A Case Study in the Bogda, China

The conservation of World Natural Heritage Sites has become a global concern. The identification of priority conservation areas can preserve the value of heritage sites while promoting sustainable development, which is important for balancing the conservation and development of heritage sites. This paper proposes an integrated framework for the identification of priority conservation areas for natural heritage sites based on landscape ecological risks (LERs) and ecosystem services (ESs), taking the Bogda heritage site in Xinjiang, China as a case study. The innovative approach combined the natural and cultural elements of natural heritage sites and included the following steps: (1) the LER index, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and questionnaire method were adopted to assess the LERs and ESs of Bogda heritage sites during 1990–2018; (2) ordered weighted averaging (OWA) was used to identify conservation priorities by weighing LERs and ESs; and (3) the optimal priority conservation area was determined by comparing the conservation efficiencies under different scenarios. The results revealed that the LER, carbon storage (CS), habitat quality (HQ), aesthetic value (AV), and recreational value (RV) showed significant spatiotemporal variation. The most suitable priority conservation area was located at the central forestlands and high-coverage grasslands, with conservation efficiencies of 1.16, 2.91, 1.96, 1.03, and 1.21 for LER, CS, HQ, AV, and RV, respectively. Our study demonstrated that integrating LERs and ESs is a comprehensive and effective approach to identifying conservation priorities for heritage sites. The results can provide decision support for the conservation of the Bogda heritage site and a methodological reference for identifying conservation priorities for natural heritage sites. Furthermore, this study is also an effective application of LERs and ESs in identifying priority conservation areas.
Young Children’s Experiences with Yoga after School

ABSTRACT Currently, little is known about the lived experiences of children who participate in yoga, particularly using their own words. This study provides insights into how young children aged 6 to 10 years old were able to understand their bodies within a yoga space. The purpose of this study was to investigate young children’s lived experiences of yoga through qualitative interviews. Parents of children engaged in yoga were also interviewed to gain a sense of their point of view about the experiences of yoga for their children. Results indicated yoga had assisted children to find, and express joy, and fun by moving their bodies into different shapes. The physical and psychological difficulty of some of the yoga shapes assisted children to develop a persistent mind-set which enabled them to transfer knowledge to different contexts, such as difficulties at school, and finding ways to relax, and be with themselves. Yoga as an activity after-school develops strategies such as resilience, and assists in other contexts such as school, and family. The parents’ described how they were looking for techniques to help calm their children, and how challenging this was with the constant stimulation of everyday activities. The findings suggest that yoga may have a place in the school curriculum for the purpose of teaching students’ simple coping skills when experiencing feelings of stress, and anxiety, and assist with controlling their behavior.
Skewed Boundary-Layer Flow Near the End Walls of a Compressor Cascade

Turbulent end-wall boundary layers with considerable skewness are caused by the relative motion of adjacent blade rows in an axial compressor. Flow conditions similar to those near the hub of an axial-compressor rotor were produced in a stationary cascade of blades, and the results of extensive measurements of boundary-layer flow between the blades are presented. An estimate based on the data of the values of terms in the momentum integral equation in the free-stream direction shows the importance of the crossflow in determining boundary-layer growth. A qualitative description of end-wall flow is given.
Exploring global online course participants’ interactions: Value of high-level engagement

Abstract Participation in online courses has become essential for training language professionals in under-resourced contexts with skills in computer-assisted language learning (CALL) (Godwin-Jones, 2014). Most online CALL courses use asynchronous computer-mediated communication (ACMC) to facilitate meaningful learning for participants. Although participants’ sustained engagement with ACMC is the target, global realities of participants interfere with their participation levels. This article investigates participants’ engagement profiles in asynchronous online discussions in an 8-week CALL-based global online course developed and implemented by a team at Iowa State University. Using a case study approach, nine focal participants’ engagement profiles have been analyzed in terms of identifying patterns of engagement in the discussion posts and their relation to the types of discussion prompts. Then, social network analysis (SNA) and thematic analysis were employed to investigate patterns of interaction among the participants in the replies. The results indicated that engagement patterns observed in discussion posts overall aligned with the primary goals of prompt types. SNA further identified two participants as social mediators to connect participants with each other. These findings are significant in that they suggest the effectiveness of using ACMC to promote co-construction of knowledge for a global audience. This article also provides implications regarding the design of discussion prompts to help maximize participant engagement with course content.
“We were girls but suddenly became mothers”: Evaluating the effects of teenage motherhood on girl’s educational attainment in the Volta Region

Abstract Evidence suggests that teenage motherhood undermines human capital development such as the education of young girls in developing economies. Teenage motherhood is associated with school dropout due to stigmatization and inadequacy of finance to support their studies and the need to care for their child. While teenage pregnancy is topical among research areas in Ghana, there is a dearth of literature on the issue in the Kpando Municipality of Ghana’s Volta region. This study examined the predisposing factors to teenage motherhood as well as the consequences of teenage motherhood on the education of adolescent mothers in the Kpando Municipality. The descriptive case study design, with a mixed-method approach, was adopted. Data were obtained with the aid of structured interview guides from 85 teenage mothers through purposive and snowball sampling techniques. The study revealed that poverty is the principal predisposing factor to teenage pregnancy and teenage motherhood in the municipality. The study further revealed that 79% of the teen mothers have dropped out of school, thereby placing them in a dreadful position as far as their education and human capital development are concerned. In cognizance of the life-changing impact of education on the lives of teenage mothers, the authors recommend that barriers to school re-entry such as stigmatization should be addressed through public sensitization. Moreover, livelihoods should be improved through agricultural and informal sector development policies to revamp the economic activities of the people, since poverty was found as a major predisposing factor to teenage pregnancy in the municipality.
Modification of a standard dump trailer into a mobile carbon dioxide depopulation unit for swine

Carbon dioxide (CO2) is an American Veterinary Medical Association approved swine euthanasia method. A limitation for the use of CO2 during depopulation events, such as a foreign animal disease diagnosis, is the ability to apply the method to finisher and adult pigs. The common euthanasia methods in finishing and adult swine require individual animal handling and restraint, increasing human safety risk in large-scale depopulation events. This project validates the modification of a standard dump trailer into a mobile CO2 depopulation unit. The success of the method was verified with subdermal implants for monitoring heart rate, activity, and body temperature.
Impact of environmentally specific transformational leadership on organizational citizenship behavior for the environment: the role of moral reflectiveness and leader group prototypicality

Through applying social information processing theory and social identity theory, we propose that employees’ moral reflectiveness mediates the relationship between environmentally specific transformational leadership and organizational citizenship behavior for the environment. Further, we tested the moderating effect of leader group prototypicality on the relationship between environmentally specific transformational leadership and subsequent moral reflectiveness. We examined the hypothesized relationships using data collected in China from 194 employees. The findings demonstrated that environmentally specific transformational leadership positively predicts employee organizational citizenship behavior for the environment, and moral reflectiveness mediates this relationship. Further, leader group prototypicality strengthens the positive relationship between environmentally specific transformational leadership and subsequent moral reflectiveness. This study extends the understanding of environmentally specific transformational leadership in the context of manufacturing companies and has practical implications to help employees accelerate their organizational citizenship behavior for the environment.
Coupling of Two 2R Open Kinematic Chains with Second Joints Unactuated in the Horizontal Plane Making Use of Uncertainty Singularity

This paper discusses coupling of two 2R open kinematic chains with their second joints unactuated in the horizontal plane. When they are not coupled, they can operate as independent underactutaed manipulators and when they are coupled, they can operate as a single 5R parallel manipulator which has the same number of actuators as its degrees of freedom. In the horizontal plane, they cannot make use of gravity for motion generation. In parallel mechanisms, uncertainty and stationary-uncertainty singularities exist in general. If the two open kinematic chains form such a singular configuration when they touch with each other, they can exert force with each other and therefore can be coupled easily. In addition, at a stationary-uncertainty singular configuration, they can escape from it after they are coupled simply by controlling their joint velocities. We propose a coupling mechanism without actuation, which can be a smooth free joint when coupling is achieved. The two open kinematic chains can reach an uncertainty singular configuration if they touch with each other at certain initial configurations. This paper analyzes this motion and show such initial configurations. We experimentally verify the proposed coupling.