Miracle-dz/UniFAR-FTUs huggingface dataset:
Netrin Family Genes as Prognostic Markers and Therapeutic Targets for Clear Cell Renal Cell Carcinoma: Netrin-4 Acts through the Wnt/β-Catenin Signaling Pathway

Simple Summary The current outcomes for early diagnosis and late treatment of clear cell renal cell carcinoma (ccRCC) are unsatisfactory. This study aimed to determine the diagnostic and prognostic value of Netrin family genes for ccRCC and to explore new therapeutic targets. We systematically analyzed the expression profile of Netrin family genes in ccRCC using a bioinformatics approach and identified three genes, including NTN4, as potential biomarkers for ccRCC prognosis. In vitro and in vivo experiments confirmed that NTN4 regulates the growth and invasion of ccRCC cells by inhibiting the Wnt/β-catenin signaling pathway. Targeting this pathway through NTN4 may be a promising strategy for ccRCC treatment. The results of this study may have important implications for developing personalized cancer treatment strategies and identifying new biomarkers for ccRCC. Abstract Clear cell renal cell carcinoma (ccRCC, or KIRC) is the most common type of kidney cancer, originating within the renal cortex. The current outcomes for early diagnosis and late treatment of ccRCC are unsatisfactory. Therefore, it is important to explore tumor biomarkers and therapeutic opportunities for ccRCC. In this study, we used bioinformatics methods to systematically evaluate the expression and prognostic value of Netrin family genes in ccRCC. Through our analysis, three potential biomarkers for ccRCC were identified, namely NTNG1, NTNG2, and NTN4. Moreover, we performed in vitro and in vivo experiments to explore the possible biological roles of NTN4 and found that NTN4 could regulate ccRCC development through Wnt/β-catenin signaling. We elucidate the molecular mechanism by which NTN4 modulates β-catenin expression and nuclear translocation to inhibit ccRCC progression, providing a new theoretical basis for developing therapeutic targets for ccRCC. Thus, we suggest that Netrin-related studies may offer new directions for the diagnosis, treatment, and prognosis of ccRCC patients.
The strengthened role of the European Union in defence: the case of the Military Mobility project

ABSTRACT This article retraces and reconstructs the process of developing and launching the European Union’s Military Mobility project. Situated in the agenda-setting and policy-transfer literature, this article explicates the establishment and implementation of the Military Mobility project and helps to explain the entire policy and development process around the Military Mobility initiative to date. By drawing on process tracing, this article methodologically unpacks the process surrounding this policy development at the EU level. The results show that the European Commission has expanded its competences within the defence field by purposefully and politically acting upon the worsened security situation in and around Europe, while actively building coalitions and managing good working relations with the actors involved in the project. Moreover, the findings show that the EU services have learned from NATO in the defence domain. Thus, this analysis contributes to a greater understanding of the new role of the European Commission in the field of EU security and defence policy.
Non-Linear Material Model of Ferrite to Calculate Core Losses With Full Frequency and Excitation Scaling

A material model for ferrite is presented, enabling an accurate calculation of the core losses from 100 to 1000 kHz with a single set of scalar parameters over a decade of excitation current. It is based on the modeling of different material effects such as quantum tunneling conduction between ferrite grains and atomic-level magnetization. The implications of the satisfying results of this approach on core loss modeling techniques at high frequencies are discussed.
Deletion of the foxO4 Gene Increases Hypoxia Tolerance in Zebrafish

Oxygen homeostasis is an important organizing principle for understanding development, physiology, disease, and evolution. Under various physiological and pathological states, organisms experience oxygen deficiency or hypoxia. FoxO4 has been recognized as an important transcriptional regulator involved in a variety of cellular functions, including proliferation, apoptosis, differentiation, and stress resistance, but its role in hypoxia adaptation mechanisms in animals is not so clear. To explore the role of foxO4 in the hypoxia response, we detected the expression of foxO4 and the regulatory relationship between Hif1α and foxO4 under hypoxic conditions. It was found that the expression of foxO4 was up-regulated in ZF4 cells and zebrafish tissues after hypoxia treatment, and Hif1α could directly target the HRE of the foxO4 promoter to regulate foxO4 transcription, indicating that foxO4 was involved in the hypoxia response by the Hif1α-mediated pathway. Furthermore, we obtained foxO4 knockout zebrafish and found that the disruption of foxO4 increased the tolerance to hypoxia. Further research found that the oxygen consumption and locomotor activity of foxO4−/− zebrafish were lower than those of WT zebrafish, as was true for NADH content, NADH/NAD+ rate, and expression of mitochondrial respiratory chain complex-related genes. This suggests that disruption of foxO4 reduced the oxygen demand threshold of the organism, which explained why the foxO4−/− zebrafish were more tolerant to hypoxia than WT zebrafish. These results will provide a theoretical basis for further study of the role of foxO4 in the hypoxia response.
The impact of technological innovation on labor structure: Evidence from Vietnam SMEs

To examine the technological innovation and labor structure nexus at micro level in Vietnam, this paper depends on a comprehensive dataset retrieved from the Vietnam SME Survey (VSMES) between 2005 and 2015. After accounting for endogeneity and firm heterogeneity, this study finds that technological innovation exhibits significantly positive impact on total labor of Vietnam’s SMEs. Moreover, technological innovation adoption is associated with higher rate of skilled labor while lowering the rate of unskilled labor in firms. The same results are discovered for manufacturing firms; however, the employment effect of technological innovation seems only significant in low-technology sectors.
Do psycho-entrepreneurial traits and social networks matter for innovativeness among Saudi female entrepreneurs?

PurposePsychological and entrepreneurial traits have been widely studied as explicative variables of encouraging entrepreneurial behavior, while their impact on innovative activity is less explored. This study examines whether, how and why psycho-entrepreneurial traits and social networks effect innovativeness among women firm owners.Design/methodology/approachAnalysis of data collected from 304 Saudi women entrepreneurs accompanied by business accelerators provides a wide support with some notable exceptions. We use Structural Equation Modeling technique to estimate how different constructs interact with each other and jointly affect directly or indirectly women's innovativeness behavior in Saudi Arabia.FindingsFindings point out that innovativeness is positively and significantly affected by emotional intelligence, internal locus of control, entrepreneurial alertness and entrepreneurial self-efficacy. The construct of entrepreneurial self-efficacy mediates the relationship between both business and personal networks and innovativeness. However, professional forums and mentors have no significant effect on innovativeness.Research limitations/implicationsThe sample selection is limited to two entrepreneurial support structures especially business accelerator and business incubator. Expanding the context to other support structures can reinforce the implications and provide more valuable results.Practical implicationsThe findings are likely to be of applicability for improving women entrepreneurship by entrepreneurial support structures.Originality/valueThis research is original in the sense that it investigated useful insights of innovativeness among Saudi female entrepreneurs.
Classification of Weather Phenomenon with a New Deep Learning Method Based on Transfer Learning

Recognition of weather conditions, which have an important effect on the planning of our dailylives, affects many events from transport to agriculture. Even on an ordinary day, the weather affects manyevents, from taking children to the market to taking a walk. In addition, in many commercial areas such asagriculture and animal husbandry, many issues from planting and planting time to production are directlyor indirectly related to weather conditions. For these reasons, automatic analyses and classification of aerialimages will provide significant convenience. New technologies based on deep learning are needed tominimize the errors of experts working in the towers established to monitor weather conditions. Deeplearning based systems are preferred because they bring a new perspective to feature extraction andclassification approaches in classical machine learning technologies. With deep learning based systems, itis possible to classify by obtaining distinctive features from different weather conditions. In this paper, apre-trained architecture-based deep learning model is proposed to classify a dataset containing 6877 imagesof 11 weather conditions. In order to measure the effect of the proposed model on the performance, acomparison with the basic model is performed. The weather classification accuracy of the proposed modelin the test set is 88%. This performance result shows that the model is competitive with its competitors. Atthis point, eleven different weather images can be automatically classified. As a result of the mentionedprocedures, this study can be a reference for future weather classification studies.
PD-L1 Expression in Cutaneous Angiosarcomas: A Systematic Review with Meta-Analysis

Cutaneous angiosarcoma (CAS) is the most common type of angiosarcoma that predominantly affects older Caucasians. The outcomes of immunotherapy in CAS are currently under investigation in relation to the expression of programmed death ligand 1 (PD-L1) and other biomarkers. We performed a systematic review and metanalysis of data from the current literature reporting on PD-L1 immunohistochemistry expression. A systematic search of publications in the electronic databases PubMed, Web of Science, and Scopus was conducted using the following terms: “PD-L1” and “angiosarcomas”. A total of ten studies reporting on 279 cases were identified and included in the meta-analysis. The pooled prevalence of PD-L1 expression in CAS was 54% (95% CI 36–71%), with high heterogeneity (I2 = 84.81%, p < 0.001). In sub-group analysis, the proportion of PD-L1 expression in CAS was significantly (p = 0.049) lower in Asian studies (ES = 35%, 95% CI 28–42%, I2 = 0.0%, p = 0.46) than in European studies (ES = 71%, 95% CI 51–89%, I2 = 48.91%, p = 0.12).
Level Set Image Feature Detection and Application in COVID-19 Image Feature Knowledge Detection

Artificial intelligence (AI) scholars and mediciners have reported AI systems that accurately detect medical imaging and COVID-19 in chest images. However, the robustness of these models remains unclear for the segmentation of images with nonuniform density distribution or the multiphase target. The most representative one is the Chan-Vese (CV) image segmentation model. In this paper, we demonstrate that the recent level set (LV) model has excellent performance on the detection of target characteristics from medical imaging relying on the filtering variational method based on the global medical pathology facture. We observe that the capability of the filtering variational method to obtain image feature quality is better than other LV models. This research reveals a far-reaching problem in medical-imaging AI knowledge detection. In addition, from the analysis of experimental results, the algorithm proposed in this paper has a good effect on detecting the lung region feature information of COVID-19 images and also proves that the algorithm has good adaptability in processing different images. These findings demonstrate that the proposed LV method should be seen as an effective clinically adjunctive method using machine-learning healthcare models.
Protrusion-oriented Point Cloud Semantic Segmentation

In recent years the acquisition of point clouds using di(cid:27)erent 3D sensors (LIDAR, structured light, etc.) or 2D camera sensors using photogrammetry has led to the need to give a higher semantic meaning to the captured raw data so as to allow for a higher-level processing in CAD applications or to use the semantics for various applications like autonomous driving, robotics, urban and rural classi(cid:28)cations etc. A way to achieve this is through point cloud semantic segmentation. Point cloud semantic segmentation is the technique to assign to each point of the 3D point cloud a semantic label. A class of point clouds that can be segmented semantically and are of interest in this work are those that are sampled from articulated objects, i.e., having protrusions. This work, extends the work of the protrusion-oriented semantic segmentation of polygon meshes presented in [2] to unstructured point clouds. With the proposed methodology there is no need to reconstruct the polygonal mesh surface of the object in order to perform segmentation since triangulation is a task that can be quite challenging and time consuming, especially with the presence of noise. Detailed experimentation is presented showing that the proposed approach can segment robustly point clouds even in the presence of noise. In terms of computation time the proposed method is comparable to the polygon based approach.
A growth-theory-of-interest intervention increases interest in math and science coursework among liberal arts undergraduates.

College students are often urged to “ ﬁ nd their passion, ” but if students believe that passions or interests are ﬁ xed, they may not develop interest in ﬁ elds beyond the academic identity with which they enter college. Canabriefinterventionthatportraysinterestsasdevelopable,not ﬁ xed,boostinterest,andevengrades,inman-datory math and science coursework among students who do not identify as a “ math or science person ” ? This would be especiallysigni ﬁ cant because college providesthe foundation for developing skills and intereststhat guide later professional paths. After a successful pilot study at a small liberal arts college ( N = 175), we con-ductedarandomized,controlled ﬁ eld-experimentwithmatriculating ﬁ rst-yearundergraduates( N = 580)inthe school of arts and social sciences of a large university. Students completed a 30-min growth-theory-of-interest (vs. control) online module before starting school. At the end of their ﬁ rst and second semesters, they reported their interest intheir two required ﬁ rst-year math/science courses.Of ﬁ cial ﬁ nal gradeswere obtainedat the end of theyear.Aspredicted,among thosewho entered college less identi ﬁ ed with math and science, the intervention (vs. control) increased interest and ﬁ nal grades in both ﬁ rst-year math/science courses (one conditional effect was marginal). The results suggest that by representing interests as not merely “ found ” but as having the potential to grow, colleges can encourage the development of skilled, interdisciplinary scholars.
Rapid spectral variations of Be stars

H i g h t i m e r e s o l u t i o n o b s e r v a t i o n s o f two Be s t a r s ( K, D ra a n d XCas) h a v e b e e n made w i t h a n I m a g e I s o c o n t e l e v i s i o n c a m e r a i n an a t t e m p t t o d e t e c t r a p i d r a d i a l v e l o c i t y a n d / o r i n t e n s i t y v a r i a t i o n s o f t h e H y d r o g e n e m i s s i o n l i n e s . A n a l y s i s o f v a r i a n c e t e s t s h a v e b e e n u s e d t o d e t e r m i n e t h e s i g n i f i c a n c e o f p o s s i b l e v a r i a t i o n s . F l u c t u a t i o n s o f t h e i n t e n s i t y o f t h e H a l p h a l i n e o f V C a s w e r e s e e n on a t i m e s c a l e o f a f e w m i n u t e s . U p p e r l i m i t s t o t h e r a d i a l v e l o c i t y v a r i a t i o n s w e r e i m p o s e d by a n a p p a r e n t n o n l i n e a r e x p a n s i o n o f t h e c a m e r a r e a d i n g beam s c a n n i n g r a s t e r . T h e v a r i a t i o n s o f H a l p h a f o r \C D r a were m a r g i n a l l y s i g n i f i c a n t , s h o w i n g a s l o w c h a n g e i n t h e p o s i t i o n o f t h e l i n e w i t h no s i g n i f i c a n t c h a n g e i n i n t e n s i t y o v e r t h e 30 m i n u t e s o f o b s e r v a t i o n . No s i g n i f i c a n t v a r i a t i o n s w e r e p r e s e n t i n o b s e r v a t i o n s o f H b e t a and H gamma o f } f C a s . i i i Table of
Post-Resettlement Food Insecurity: Afghan Refugees and Challenges of the New Environment

Background: Lack of access to adequate, safe, and nutritious food is a major concern for the Afghan population due to ongoing war and humanitarian crises. Recently resettled Afghan refugees in the US continue to face challenges securing adequate, nutritious food resources in new environments. This study examined Afghan refugees’ food access and insecurity in the San Joaquin Valley, California. Methods: Semi-structured, in-depth interviews were conducted to collect the perspectives and experiences of key informants and newly arrived Afghan refugees. Results: This study highlights environmental and structural factors (availability and accessibility of grocery stores; availability of religious-appropriate items in the stores; the public benefit received by a family; and public transportation) and individual factors (religious and cultural practices; financial and language barriers) as major determinants of post-resettlement food insecurity. Conclusion: Increasing the accessibility and affordability of culturally and religiously appropriate food items within the US food system, enhancing the collaboration of community volunteers and resettlement organizations in the direct assistance of new families, and providing continuous access to public benefits are possible steps to mitigate the risk of food insecurity among Afghan refugees. This study suggests a continuous examination of the degree of food insecurity in this population and its attendant health impacts.
Origami Alignments and Constructions in the Hyperbolic Plane

Neutral geometry is the geometry made possible with the first 28 theorems of Euclid’s Book 1—those results that do not rely on the parallel postulate. Hyperbolic geometry diverges from Euclidean geometry in that there are two parallels (asymptotic) to a given line through a given point and infinitely many other lines through the point that do not meet the given line (ultraparallel). In hyperbolic geometry, similar triangles are congruent; triangles have less than 180 degrees; there are no squares (regular four sided with 90 degree angles); and the area of a triangle is its defect (radian difference between π and the angle sum). As a consequence of this last remark, Bolyai (circa 1830) showed that one can square some circles (one uses a regular four sided polygon) in the hyperbolic plane using a ruler and compass [Gray 04,Curtis 90,Jagy 95]. Our aim here is to introduce origami constructions as a new method for doing geometry in the hyperbolic plane. We discuss the use of origami for making any ruler-compass construction and the possibilities for other constructions that are not ruler-compass constructions. In the first section, we give the alignments for folding in the hyperbolic plane. These are the analogues of the classical origami axioms in the plane discussed by Huzita and Justin. There is one additional alignment that is possible. Next, we discuss the relations between the alignments in the
Laser surface melting of 304L SS: Increase in resistance to transpassive dissolution and pitting corrosion

In the present study, laser surface melting (LSM) of 304L stainless steel (SS) was performed using 250 W pulse Nd: YAG laser which resulted in a 250 µm thick melted layer with refined microstructure on the surface. Potentiostatic polarisations at various potentials in the transpassive regime in 6 M HNO3 solution at 95°C were used to quantify the IGC rate. The transpassive dissolution rate was significantly reduced after LSM. The pitting corrosion susceptibility was assessed by potentiodynamic polarisation in 3.5 wt-% NaCl solution. LSM resulted in an increase in pitting potential. Following electrochemical tests, sample surfaces were examined using optical and scanning electron microscopes besides a 3-D optical profilometer. The depths of IGC attack and pit were significantly reduced after LSM. The improvement in resistance to pitting corrosion and transpassive dissolution was attributed to the elimination of inclusions and impurity segregation at the grain boundaries brought about by LSM.
Preventing Hydrogen Embrittlement: The Role of Barrier Coatings for the Hydrogen Economy

Hydrogen barrier coatings are protective layers consisting of materials with a low intrinsic hydrogen diffusivity and solubility, showing the potential to delay, reduce or hinder hydrogen permeation. Hydrogen barrier coatings are expected to enable steels, which are susceptible to hydrogen embrittlement, specifically cost-effective low alloy-steels or light-weight high-strength steels, for applications in a hydrogen economy. Predominantly, ceramic coating materials have been investigated for this purpose, including oxides, nitrides and carbides. In this review, the state of the art with respect to hydrogen permeation is discussed for a variety of coatings. Al2O3, TiAlN and TiC appear to be the most promising candidates from a large pool of ceramic materials. Coating methods are compared with respect to their ability to produce layers with suitable quality and their potential for scaling up for industrial use. Different setups for the characterisation of hydrogen permeability are discussed, using both gaseous hydrogen and hydrogen originating from an electrochemical reaction. Finally, possible pathways for improvement and optimisation of hydrogen barrier coatings are outlined.
The Formation of All-Silk Composites and Time–Temperature Superposition

Extensive studies have been conducted on utilising natural fibres as reinforcement in composite production. All-polymer composites have attracted much attention because of their high strength, enhanced interfacial bonding and recyclability. Silks, as a group of natural animal fibres, possess superior properties, including biocompatibility, tunability and biodegradability. However, few review articles are found on all-silk composites, and they often lack comments on the tailoring of properties through controlling the volume fraction of the matrix. To better understand the fundamental basis of the formation of silk-based composites, this review will discuss the structure and properties of silk-based composites with a focus on employing the time–temperature superposition principle to reveal the corresponding kinetic requirements of the formation process. Additionally, a variety of applications derived from silk-based composites will be explored. The benefits and constraints of each application will be presented and discussed. This review paper will provide a useful overview of research on silk-based biomaterials.