Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPROVING SUSTAINABLE COMPETITIVE ADVANTAGE OF CREATIVE INDUSTRY THROUGH STRATEGIC ALLIANCES TO OVERCOME ENVIRONMENTAL TURBULENCE

Fundamental changes in the business environment that cause turbulence are suspected making many companies difficult to maintain competitive advantage. To restore competitive advantage, MSEs, need to take strategic steps through strategic alliance that is the most appropriate approach to an increasingly turbulent environment.This study aims to examine the effect of strategic alliances as mediating variables in the relationship between environmental turbulence and sustainable competitive advantage. The design of this study uses 130 craft industries. Data collection was conducted in all region of Malang Raya including Malang Regency, Malang City and Batu City.The findings show that environmental turbulence does not a significant relationship with sustainable competitive advantage but has a significant relationship with strategic alliance. Strategic alliance has a significant relationship with sustainable competitive advantage. Strategic alliance will mediate the relationship environmental turbulence and sustainable competitive advantage. The analysis showed that highly environmental turbulence tended to highly strategic alliance. The result of the study show that strategic alliance practiced by SMEs has been significantly affected the sustainable competitive advantage. It indicated that strategic alliance offers a systematic model for supporting SMEs to build a well-maintained environment and sustainable competitive advantage
Pose Estimation of a Noncooperative Target Based on Monocular Visual SLAM

This paper estimates the pose of a noncooperative space target utilizing a direct method of monocular visual simultaneous location and mapping (SLAM). A Large Scale Direct SLAM (LSD-SLAM) algorithm for pose estimation based on photometric residual of pixel intensities is provided to overcome the limitation of existing feature-based on-orbit pose estimation methods. Firstly, new sequence images of the on-orbit target are continuously inputted, and the pose of each current frame is calculated according to minimizing the photometric residual of pixel intensities. Secondly, frames are distinguished as keyframes or normal frames according to the pose relationship, and these frames are used to optimize the local map points. After that, the optimized local map points are added to the back-end map. Finally, the poses of keyframes are further enumerated and optimized in the back-end thread based on the map points and the photometric residual between the keyframes. Numerical simulations and experiments are carried out to prove the validity of the proposed algorithm, and the results elucidate the effectiveness of the algorithm in estimating the pose of the noncooperative target.
Construction of Ag2S@CaTiO3 heterostructure photocatalysts for enhanced photocatalytic degradation of dyes

In this work, we have assembled Ag2S carbon quantum dots (CQDs) onto CaTiO3 nanocuboids (NCs), aimed at creating Ag2S@CaTiO3 composite photocatalysts with superior photocatalytic performances. Scanning/transmission electron microscopy observation confirms the uniform decoration of Ag2S CQDs (7–17 nm) on the surface of CaTiO3 NCs with size of 0.8‒1.1 μm in length and 0.3–0.5 μm in width. Photoluminescence, photocurrent response and electrochemical impedance spectroscopy investigations reveal that the Ag2S@CaTiO3 composites manifest highly efficient separation of photoexcited electron/hole pairs. The photocatalytic degradation activity of the Ag2S@CaTiO3 composites was assessed by the removal of rhodamine B from aqueous solution. It is demonstrated that the composites exhibit photocatalytic degradation performance much superior to that of bare Ag2S CQDs and CaTiO3 NCs under ultraviolet irradiation. This can be explained as the result of efficient separation of photoexcited electron/hole pairs induced by the Z-scheme electron transfer. In addition, the composites also manifest enhanced visible-light photocatalytic performance when compared with bare CaTiO3 NCs, implying that they can make the best use of the solar energy in the practical photocatalytic applications.
A New Approach Based on K-means Clustering and Shuffled Frog Leaping Algorithm to Solve Travelling Salesman Problem

The Travelling Salesman Problem (TSP), which is a combinatorial NP-hard problem, aims to find the shortest possible path while visiting all cities (only once) in a given list and returns to the starting point. In this paper, an approach, which is based on k-means clustering and Shuffled Frog Leaping Algorithm (SFLA), is used to solve the TSP. The proposed approach consists of three parts: separate the cities into k clusters, find the shortest path for each cluster and merge the clusters. Experimental results have shown that the algorithm get better results as the number of cluster increase for problems that have a large number of cities.
Translation of gastric disease progression at gene level expression

Helicobacter pylori is associated with the development of several lesions in the human stomach. This chronic infection produces gastritis, which can progress to intestinal metaplasia and gastric cancer. To date, there is very little information regarding gene-expression in the different phases of progression caused by chronic H. pylori infection. In this study, we performed a genome-wide gene-expression analysis in gastric biopsies of patients chronically infected with H. pylori, using the potential of high-throughput technologies that have not been fully exploited in this area. Here we illustrate the potential correlation of H. pylori infection with the gene expression changes in follicular gastritis, chronic gastritis and intestinal metaplasia. We also suggest its potential as biomarkers of each condition. An exploratory set of 21 biopsies from patients with follicular gastritis, chronic gastritis, and intestinal metaplasia were analyzed by gene-expression microarrays in order to identify the biological processes altered in each lesion. The microarray data was corroborated by real-time PCR, while 79 Formalin-Fixed Paraffin-Embeded samples were analyzed by immunohistochemistry. Follicular gastritis exhibited significant enrichment in genes associated with glutamate signaling, while chronic gastritis showed a down-regulation in metallothionein 1 and 2 and in oxidative phosphorylation-related genes, which could be associated with the chronic infecton of H. pylori. Intestinal metaplasia exhibited an over-expression of gastrointestinal stem cell markers, such as LGR5 and PROM1, as well as messenger RNA and nucleic acid metabolism-related genes. The gene-expression patterns found in this study provide new comparative information about chronic gastritis, follicular gastritis and intestinal metaplasia that may play an important role in the development of gastric cancer.
Causal Conditionals, Tendency Causal Claims and Statistical Relevance

Indicative conditionals and tendency causal claims are closely related to each other (e.g., Frosch and Byrne 2012), but despite these connections, they are usually studied separately. A unifiying framework could consist in their dependence on probabilistic factors such as statistical relevance, but theoretical research along these lines (e.g., Eells 1991; Douven 2008, 2016) needs to be strengthened by more empirical results. This paper closes that gap and presents empirical results on how judgments on tendency causal claims and indicative conditionals are driven by probabilistic factors, and how these factors (in particular statistical relevance) differ in their predictive power for both causal and conditional claims.
A Novel Biomarker Based on miRNA to Predict the Prognosis of Muscle-Invasive Bladder Urothelial Carcinoma

Muscle-invasive bladder urothelial carcinoma (MIBC) is characteristic of high mortality and high recurrence. Distinguishing the prognostic risk of MIBC at the molecular level of miRNA expression is rarely performed and thus of great significance for the management and treatment of MIBC in clinics. Adaptive lasso Cox's proportional hazards model was used to explore the relationship between differential expression miRNAs (DEmiRNAs) and MIBC survival. Furthermore, we evaluated the epithelial-mesenchymal transition (EMT) score and immune infiltration abundance by exploring EMT signature genes and TIMER database, respectively. A total of 8 DEmiRNAs were detected to be associated with the survival rate of MIBC by using the lasso Cox algorithm. Through the linear combination of these 8 DEmiRNAs, we constructed a calculated marker, which could be used to distinguish the prognosis risk in both TCGA dataset (HR = 2.03, 95% CI = (1.47, 2.83)) and independent validation dataset (HR = 7.74, 95% CI = (1.05, 56.93)). Meanwhile, the constructed marker had reasonably high predictive values of the AUC (area under the curve) in the TCGA dataset and validation dataset being 0.73 and 0.63, respectively. In addition, we observed that the expression values of let-7c, miR-100, and miR-145 were associated with EMT score and the abundance of macrophage in tumor tissue as well. This newly identified risk score signature based on the combination of 8 miRNAs could significantly predict the prognostic risk of MIBC and might provide insight into immunotherapy and targeted therapy of MIBC.
Andriy Sytnyk

As a policy of prescribing and proscribing certain types of (linguistic) behavior, political correctness, was initially conceived as a strategy of overtly contradicting previously held assumptions regarding expected social behavior, by communicating new sets of assumptions with the purpose of bringing out subconscious biases of people to awareness, thereby making them aware of things, which could potentially trigger axiologically unfavorable responses and connotations in different individuals.
Securing Distributed Applications Using Advanced Runtime Access Control

The architecture and integration of distributed applications increased in complexity over the last decades. It was Service Oriented Architecture (SOA) that answered most of the emerging questions by its explicit and contract-based interface definitions for services and autonomous components. The exposed functionality can be used by anyone who has access to the public interface of SOA applications. However SOA applications often handle security loosely by making the published contract available for more outer application than required contrarily introducing security risks. Although there are attempts to implement fine-grained access control mechanisms in object-oriented programming languages like Eiffel, C# and Java, these solutions are in-process that means that they cannot cross service contract boundaries, which is the case for distributed applications. For these, it is of utmost importance to validate the type and the identity of the caller, track the state of the business process and even validate the client itself using simple, declarative syntax. In this paper we present a framework that aims to introduce fine-grained access control mechanisms in the context of distributed applications. We present a semi-formalized description of the framework and also a pilot implementation on the . NET platform.
Approximations of Geometrically Ergodic Markov Chains

A common tool in the practice of Markov Chain Monte Carlo is to use approximating transition kernels to speed up computation when the desired kernel is slow to evaluate or intractable. A relatively limited set of quantitative tools exist to assess the relative accuracy and efficiency of such approximations. We derive a set of tools for such analysis based on the Hilbert space generated by the stationary distribution we intend to sample, $L_2(\pi)$. This proves extremely useful when the exact transition dynamics are reversible -- as is typically the case for applications to Markov Chain Monte Carlo. The focus of our work is on determining whether the approximating kernel (i.e.\ perturbation) will preserve the geometric ergodicity of the exact chain, and whether the approximating stationary distribution will be close to the original stationary distribution. Our results directly generalise the results of \citet{johndrow2015approximations} from the uniformly ergodic case to the geometrically ergodic case. We then apply our results to a number of approximate MCMC algorithms.
What is literature for? The role of transformative reading

Abstract The question of what literature is for—if there is a purpose—is not new. Since the beginning of literary theory as a field of study, the debate has been long and complex and is still ongoing. This article offers a reflection on the concept of purpose in the development of literary theories up to the advent of the cognitive turn in the twenty-first century, when empirical studies of literary reading began to proliferate. The paper argues that discussions on the question of purpose have changed from no purpose to pragmatic and later to more existential purposes. It places transformative reading in the center of this debate and reflects on the results of the series of empirical studies conducted so far. The paper focuses on the implications and uses of transformative reading in social contexts. It concludes by discussing how empirical work in this area suggests new conceptual distinctions that could contribute to theorizing about purpose in literary studies more generally. It also indicates what lies ahead in terms of challenges while pointing at new research directions.
Assessment of Rutting Resistance and Healing for Stone Matrix Asphalt Concrete (SMAC)

Stone Matrix Asphalt Concrete (SMAC) is known as tough, stable, rut-resistant mixture. In this investigation, SMAC was prepared in the laboratory using gap graded aggregates, asphalt cement, mineral filler and coal fly ash as stabilizing agent. Specimens were prepared using static compaction to the target density based on asphalt content for each case. The prepared Specimens were subjected to the 1200 repeated compressive stresses at 25 oC under various stress levels using the pneumatic repeated load system PRLS. Specimens were subjected to microcrack healing process by external heating for 120 minutes at 60 °C, then it practices another cycle of repeated compressive stresses. The resilient modulus, permanent deformation, and rutting resistance under three levels of stress have been assessed. It was concluded that the resilient modulus Mr increases by (66, 50 and 31) %, (36, 50 and 31) % and (62, 37 and 69) %, while the permanent deformation decreases by (25, 11.4 and 25) %, (19, 31.6 and 14.5) % and (14, 9 and 8.3) % after implementation of fly ash at (OAC-0.5, OAC and OAC+0.5) % binder content under (0.068, 0.138 and 0.206) MPa of repeated compressive stress respectively. The resilient modulus increased by (17.6, 15.3, 10.5) % , (42.8, 51, 37.5) % and (18.7, 25, 23.6) % and the permanent deformation decline by (3.52, 31.66, 6.25) % under repeated compressive stresses of (0.068, 0.138, 0.206) MPa at (25 °C) after healing for mix with (4.6, 5.1, 5.6) % asphalt content respectively when compared with mixtures before healing.
Tumor Necrosis Factor (TNF) Receptor Expression Determines Keratinocyte Fate upon Stimulation with TNF-Like Weak Inducer of Apoptosis

The interaction between tumor necrosis factor- (TNF-) like weak inducer of apoptosis (TWEAK) and fibroblast growth factor-inducible 14 (Fn14) regulates the fate of keratinocytes, depending on the relative expression of TNF receptor (TNFR) 1 or TNFR2. However, the precise mechanism underlying this TWEAK-mediated regulation remains unclear. The aim of this study was to provide comprehensive insight into the roles of Fn14, TNFR1/2, and other relevant molecules in the fate of keratinocytes. Further, we sought to elucidate the structural basis for the interaction of TWEAK and Fn14 in regulating cellular outcomes. Normal keratinocytes (mainly expressing TNFR1) and TNFR2-overexpressing keratinocytes were stimulated with TWEAK. Through immunoprecipitation and Western blotting of keratinocyte lysates, we elucidated the associations between Fn14, TNFR-associated factor 2 (TRAF2), cellular inhibitor of apoptosis protein 1 (cIAP1), and TNFR1/2 molecules. Additionally, we found that TRAF2 exhibited binding to Fn14, cIAP1, and TNFR1/2. Our data suggest that TWEAK induces apoptosis in normal keratinocytes and proliferation in TNFR2-overexpressing keratinocytes in a TNF-α-independent manner; however, inhibition of TRAF2 appears to reverse this effect. Interestingly, the interaction between TWEAK and Fn14 increased TNFR1-associated death domain protein and caspase-8 expression in normal keratinocytes and promoted cytoplasmic import of cIAP1 in TNFR2-overexpressing keratinocytes. In conclusion, we found that the Fn14-TRAF2-TNFR signaling axis mediates TWEAK's regulation of the fate of keratinocytes, possibly in a manner involving the TNF-α-independent TNFR signal transduction.
UNIVERSIDADE DE SÃO PAULO FACULDADE DE ODONTOLOGIA DE BAURU LEANDRO EDGAR PACHECO Titanium dioxide nanotubes as reinforcement of a self- adhesive resin cement in self-curing mode

Titanium dioxide nanotubes as reinforcement of a self-adhesive resin cement in selfcuring mode Objective: This study has analyzed bond strength to root dentine and to fiberglass posts, and the radiopacity of self-adhesive dual resin cement in addition of titanium dioxide nanotubes (nt-TiO2) in self-curing polymerization. Material and Methods: The self-adhesive resin cement (RelyX U200TM, 3M ESPE) was enhanced with different concentrations (0.3, 0.6, and 0.9% by weight) of nt-TiO2 and evaluated at only self-curing mode. To test the bond strength to root dentine and fiberglass posts was applied the push out bond strength test (PO). To analyze the radiopacity was follow the ISO standard (9917-2/2010). Data were statistically analyzed by one-way ANOVA test, followed by post hoc multiple comparisons Fisher’s test for PO and Tukey’s test for RO (p<0.05). Results: Reinforced self-adhesive resin cement influenced the increase in values of PO, especially in the S06 group (0.6 wt%), which demonstrated a higher value of bond strength, mainly in the apical third. However, this analysis not demonstrated statistical difference between the groups with nt-TiO2 addition (S03, S06 and S09) and the control group (SCT). For radiopacity, the addition of nt-TiO2 may provide an increase in value, especially to the S09 group, which showed a higher value with statistical difference in comparison with SCT group. Conclusion: The addition of ntTiO2 showed influence at behavior of the self-cure mode of the self-adhesive resin cement, and its use in other concentrations may be considered for future studies, since reinforced cement may prove better results in indirect restorative procedures.
IDENTIFYING AND MAPPING OF SLUMS IN PUNE CITY USING GEOSPATIAL TECHNIQUES

Abstract. In India, rapid growth of slums in urban areas, especially in metropolitan cities, has become a major problem for the planners and decision-makers. The slum expansion is mainly due to the rural-urban migration and pressure of the population on un-used, un-protected, and un-suitable public land. It leads to many issues like poverty, unemployment, lack of access to clean water, lack of durable housing, traffic congestion, environmental pollution, insufficient living area, inadequate sanitation, scarcity of land, inappropriate land use, skyrocketing land value and insecure tenure, etc. Planning controls are usually ineffective in slum areas due to lack of timely information and people having little regard for such things in the absence of any other alternative. In most of the municipal bodies, proper updated information/map of slums are not available, which, create a problem in the decision-making process. Thus, there is an imperative need to resolve above-mentioned issues with the help of Geospatial techniques. This paper aims to identify and mapping of slums in Pune City using Geospatial techniques. The slums were identified based on high-resolution satellite images such as Resourcesat-2 (LISS-IV) data with the help of visual interpretation and standard image processing techniques, i.e., image rectification, enhancement, and classification. Afterward, the database was created and labeled with the help of the GIS tool. In Pune, there is around 40 percent of the urban population resides in slums. Such a large proportion of slum population also adds to the burden of already scarce resources and on overall urban infrastructure. The entire slum population of the city was accommodated in a total of 477 slums of which 238 and 239 were declared and undeclared slums respectively. The most of the slums in Pune mainly occurred in the central part due to natural increases as well as migration. But, the peripheral areas it’s happen due to vacant land/open areas along to river, canal, railway line and hill slope. The study reveals that more than 200 slums are located near environmentally sensitive areas and encroachment activities are increased in southern part of the city i.e., Ambegaon Bk. , Vithhal Nagar and Warje areas.
Fault Diagnosis of High-Speed Train Bogie Based on Synchrony Group Convolutions

Health monitoring and fault diagnosis of a high-speed train is an important research area in guaranteeing the safe and long-term operation of the high-speed railway. For a multichannel health monitoring system, a major technical challenge is to extract information from different channels with divergence patterns as a result of distinct types and layout of sensors. To this end, this paper proposes a novel group convolutional network based on synchrony information. The proposed method is able to gather signals with similar patterns and process these channels with specific groups of neurons while simultaneously assigning signals with significant difference to different groups. In this approach, the feature can be extracted more effectively and the performance can be improved, owing to the sharing of filters for similar patterns. The effectiveness of the method is validated on high-speed train fault dataset. Experiments show that the proposed model performs better than normal convolutions and normal group convolutions on this task, which achieves an accuracy of 98.27% (σ = 1.73) with good computational efficiency.
Con dential State Veri cation for the Delegated Cloud Jobs with Con dential Audit Log

Cloud computing provides versatile solutions that allow users to delegate their jobs. An apparent limitation of most cloud audit services is that it is di cult for cloud users to tell the state of a delegated job. Although cloud users can provide a user-speci ed model, the model is susceptible to various exploits. In this paper, we present VERDICT, a system that ampli es the capability of the existing cloud audit services and allows users to check the state of a cloud job through the con dential model and audit log. VERDICT extracts the model from an application and keeps it in the encrypted form. The encrypted model is partitioned and updated with homomorphic encryption cipher in multiple sandboxes. The state of a delegated job can be checked by cloud users at any time. We implement VERDICT and deploy it in the VMs and containers on popular cloud platforms. Our evaluation shows that VERDICT is capable of reporting the state of a cloud job at run time, keeping the model con dential, and detecting malicious operations.