Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of Recent Research on the Role of MicroRNAs in Renal Cancer

Renal cell carcinoma (RCC) is a most common type of urologic neoplasms; it accounts for 3% of malignant tumors, with high rates of relapse and mortality. The most common types of renal cancer are clear cell carcinoma (ccRCC), papillary renal cell carcinoma (pRCC), and chromophobe renal carcinoma (chRCC), which account for 90%, 6–15%, and 2–5%, respectively, of all renal malignancies. Although surgical resection, chemotherapy, and radiotherapy are the most common treatment method for those diseases, their effects remain dissatisfactory. Furthermore, recent research shows that the treatment efficacy of checkpoint inhibitors in advanced RCC patients is widely variable. Hence, patients urgently need a new molecular biomarker for early diagnosis and evaluating the prognosis of RCC. MicroRNAs (miRNAs) belong to a family of short, non-coding RNAs that are highly conserved, have long half-life evolution, and post-transcriptionally regulate gene expression; they have been predicted to play crucial roles in tumor metastasis, invasion, angiogenesis, proliferation, apoptosis, epithelial-mesenchymal transition, differentiation, metabolism, cancer occurrence, and treatment resistance. Although some previous papers demonstrated that miRNAs play vital roles in renal cancer, such as pathogenesis, diagnosis, and prognosis, the roles of miRNAs in kidney cancer are still unclear. Therefore, we reviewed studies indexed in PubMed from 2017 to 2020, and found several studies suggesting that there are more than 82 miRNAs involved in renal cancers. The present review describes the current status of miRNAs in RCC and their roles in progression, diagnosis, therapy targeting, and prognosis of RCC.
Numerical Analysis of Flow Around a Cylinder in Critical and Subcritical Regime

Modeling the wind flow around cylindrical buildings is one of the problems within urban physics. Despite the simple geometry of the cylinder, it is an interesting physical phenomenon. Partial knowledge of flow field properties can be found in the literature, but in terms of their use for practical tasks, the data are still incomplete. The authors performed a numerical analysis of the flow around the smooth cylinder in the subcritical and critical regime for Reynolds numbers in the range of Re = 2.3 × 103 to 4 × 105. Turbulent flow was solved using LES model and the numerical solution was compared with available data from experiments or standard. Analysis of the mean stream velocity showed the elongation of the core of the wake with decreasing Re. The pressure coefficient evaluation showed a big difference between its distribution in the subcritical and critical regime. In the subcritical regime, a significant increase in the minimum value and a shift of the extreme close to the axis of the cylinder is proven. The results of the drag coefficient confirm a significant decrease in the transition from subcritical to critical regime, which is indicated in the cited experiments.
Effects of Different Vegetable Rotations on the Bacterial Community Structure and Tomato Growth in a Continuous Tomato Cropping Substrate

Purpose In this study, MiSeq pyrosequencing was used to analyze the effects of different vegetable rotations on the bacterial diversity and community structure in a substrate that was used for continuous tomato cropping (CK). Methods The vegetable rotations tested were cabbage/tomato (B), kidney bean/tomato (D), and celery/tomato (Q). Results The results revealed that the substrate bacterial diversity and richness of each crop rotation were higher than those of CK. The highest bacterial diversity was found in the B substrate, followed by the Q and D substrates. Further comparison showed that the bacterial community structure of Q substrate was significantly different to that of CK. Compared with the CK, the Q substrate had a significantly higher relative abundance of several dominant microflora, such as Acidobacteria, Chloroflexi, and Firmicutes. Additionally, the Q rotation significantly increased the abundance of beneficial bacteria, such as Actinobacteria_unclassified and Anaerolineaceae_unclassified. A redundancy analysis showed that Most dominant bacteria correlated positively with the substrate pH, total N, and alkali-hydrolyzable N but negatively with the available P, available K, total P, total K, and organic matter contents and substrate EC. The substrates after crop rotation improved the growth and physiological condition of the subsequent tomato plants, among which those from the Q rotation performed the best. Conclusion Therefore, celery rotation not only increased the richness and diversity of bacterial communities in the substrate but also significantly increased the richness of the beneficial bacterial communities, allowing better maintenance of the substrate microenvironment for the healthy growth of crops.
A low‐profile wide‐scanning fully metallic lens antenna for 5G communication

A low‐profile wide‐scanning lens antenna operating at 5G millimeter‐wave (mm‐wave) frequencies (24‐29 GHz) is presented in this article. Based on the principles of parallel plate waveguide, the proposed lens consists of two almost‐parallel plates which have only one slot or ridge in their inner surfaces. Due to that the lens is filled with air, the prominent high loss of dielectric lens at mm‐wave frequencies can be avoided. The 22 monopole antennas are employed to feed the lens, providing over ±77° beam scanning coverage of −3 dB cross‐over level in the azimuth plane. Measured 3 dB beamwidths are 7°/69° in the azimuth/elevation plane at the middle frequency of 26.5 GHz, respectively. Measured aperture efficiency for the middle beam is 66% at 26.5 GHz, and varies between 40% and 69.4% over the operating frequency band. The results indicate that the proposed lens is an effective solution for the 5G wireless communications due to its wide‐angle scanning, lightweight, low cost, and easy fabrication.
Prospective radiographic evaluation of peri-implant bone maintenance on osseointegrated implants with frictional morse taper connection and platform switching: Cases report

Objective: The aim of the present study was to evaluate radiographically the remodeling of the peri-implant bone crest in prosthetic friction morse cone implants, with platform switching, after 12 months of application of prosthetic load. Materials and Methods: 16 implants were installed, in 10 patients, rehabilitated with partial, single and multiple metal-ceramic prostheses, submitted to prosthetic function in the period of 12 months. Periapical radiographs to measure the distance between the mesial and distal marginal bone crest and the platform of each implant, were performed at the time of installing the prostheses and 12 months later. The images obtained at different intervals were digitized and analyzed using Image J software TD. Results: At the time of installing the prostheses, the averages of measurements on the distal and mesial surfaces were 0.57 mm (standard deviation 0.45) and 0.55 mm (standard deviation 0.41) respectively. After 12 months in function, the averages obtained were 0.59 mm (standard deviation 0.48) on the distal surface and 0.57 mm on the mesial surface, (standard deviation 0.34). Conclusion: In this radiographic evaluation, it was possible to observe that the implants with prosthetic connection of the frictional Cone Morse type with platform switching presented an average of 0.2mm of cervical bone remodeling, after 12 months in function, seeming to be a good alternative for periodic bone maintenance deploy.
Mycobiome Composition and Diversity under the Long-Term Application of Spent Mushroom Substrate and Chicken Manure

Waste exogenous organic matter, including spent mushroom substrate (SMS) and chicken manure (CM), can be used as the basis of a soil-improving cropping system in sustainable agriculture. However, there is—as yet—a lack of information about important quality indicators such as the fungal community relative abundance, structure and biodiversity in soils treated with these additives. In this study, the responses of the soil fungal community composition and mycobiome diversity to SMS and CM application compared to the control soil were evaluated using a combination of the following molecular approaches: quantitative polymerase chain reactions, denaturing gradient gel electrophoresis, terminal restriction fragment length polymorphism, and next-generation sequencing. The most abundant phylum for both treatments was Ascomycota, followed by Basidiomycota. The application of SMS and CM increased the abundance of fungi, including Tremellomycetes and Pezizomycetes for the SMS additive, while the Mortierellomycetes, Pezizomycetes, and Leotiomycetes levels increased after CM addition. SMS and CM beneficially reduced the relative abundance of several operational taxonomic units (OTUs) which are potential crop pathogens. The results provide a novel insight into the fungal community associated with organic additives, which should be beneficial in the task of managing the soil mycobiome as well as crop protection and productivity.
Analysis of stock returns of main European service and tourism companies

This research explores the sensitivity of the returns of some selected European companies to changes in the explanatory factors proposed during the sample period between January 2000 and December 2019. We focus on listed companies in the tourism and services sector and estimate an extension of the Fama and French five-factor model (2015) by applying the quantile regression approach. Specifically, this study starts from the Fama and French risk factors and adds the nominal interest rates, a momentum and momentum reversal factors and a traded liquidity factor. For robustness, this research divides the whole sample period into three sub-periods: pre-crisis, crisis and post-crisis. In line with the previous literature, the explanatory power of this factor model shows a U-shape, which is compatible with the highest R2 coefficients in the extreme quantiles, as well as in extreme stages of the economy, that is, in the bullish and bearish market states.
Antioxidant Properties in Methanol Extract of Kernels of Commonly Marketed Indian Fruits

ABSTRACT In the present study, total phenolic and flavonoid contents in the methanol extracts of kernels obtained from the selected fruits such as Mangifera indica, Citrus sinensis, Citrus limetta, Punica granatum, and Carica papaya commonly marketed in India and their antioxidant properties were studied. Total phenolic and flavonoid contents in kernel extracts (measures in mg gallic acid equivalent (GAE)/g fresh weight and mg quercetin equivalent (QE)/g fresh weight, respectively) varied significantly with species (p <0.05) and ranged between 2.35–7.79 and 0.16–1.17, respectively. Antioxidant activities in kernel extract in terms of 2, 2-Diphenyl-1-picrylhydrazyl, 2, 2ʹ-Azino-bis 3-ethylbenzothiazoline-6-sulfonic acid and ferric reducing antioxidant power (expressed in µM ascorbic acid equivalent (AAE)/g fresh weight) was found maximum in M. indica (102.8, 182.3 and 48.8, respectively) among the tested fruits. Cluster analysis based on biochemical attributes indicated that the kernel of M. indica is biochemically different from other kernels. Thus the present study concludes that the kernel of M. indica should be scaled up for industrial utilization as it possesses significantly higher antioxidant activities as compared to other kernels.
Quantifying the Northward Spread of Ticks (Ixodida) as Climate Warms in Northern Russia

Climate change is affecting human health worldwide. In particular, changes to local and global climate parameters influence vector and water-borne diseases like malaria, dengue fever, and tick-borne encephalitis. The Republic of Sakha in northern Russia is no exception. Long-term trends of increasing annual temperatures and thawing permafrost have corresponded with the northward range expansion of tick-species in the Republic. Indigenous communities living in these remote areas may be severely affected by human and livestock diseases introduced by disease vectors like ticks. To better understand the risk of vector-borne diseases in Sakha, we aimed to describe the increase and spatial spread of tick-bite cases in the Republic. Between 2000 and 2018, the frequency of tick bite cases increased 40-fold. At the start of the period, only isolated cases were reported in southern districts, but by 2018, tick bites had been reported in 21 districts in the Republic. This trend coincides with a noticeable increase in the average annual temperature in the region since the 2000s by an average of 1 °C. Maps illustrate the northward spread of tick-bite cases. A negative binomial regression model was used to correlate the increase in cases with a number of climate parameters. Tick bite case frequency per district was significantly explained by average annual temperature, average temperature in the coldest month of the year, the observation year, as well as Selyaninov’s hydrothermal coefficient. These findings contribute to the growing literature that describe the relationship between tick abundance and spread in Northern Latitudes and changes in temperatures and moisture. Future studies might use these and similar results to map and identify areas at risk of infestation by ticks, as climates continue to change in Sakha.
Recent Advances in Mycotoxin Analysis and Detection of Mycotoxigenic Fungi in Grapes and Derived Products

Mycotoxins are secondary metabolites of filamentous fungi that can cause toxic effects in human and animal health. Most of the filamentous fungi that produce these mycotoxins belong to four genera, namely, Aspergillus, Penicillium, Fusarium, and Alternaria. Mycotoxigenic fungi, along with mycotoxins, create a constant and serious economic threat for agriculture in many terms, counting product losses due to crop contamination and food spoilage, as well malnutrition when considering nutritional quality degradation. Given the importance of robust and precise diagnostics of mycotoxins and the related producing fungi in the grape food chain, one of the most important agricultural sectors worldwide, the present review initially delivers a comprehensive presentation of mycotoxin reports on grape and derived products, including a wide range of commodities such as fresh grapes, raisins, wine, juices, and other processed products. Next, based on worldwide regulations’ requirements for mycotoxins, and referring to the relative literature, this work presents methodological approaches for mycotoxin determination, and stresses major methods for the detection of fungal species responsible for mycotoxin production. The principle of function and basic technical background on the available analytical and molecular biology techniques developed—including chromatography, mass spectrometry, immunochemical-based assays, biosensors, and molecular assays—is briefly given, and references for their application to grape and derived product testing are highlighted.
Experimental investigations into the enhanced dielectric breakdown performances of propylene carbonate modified by TiO 2 nano-particles

Water is frequently used as energy storage medium in the compact pulsed power system because of its great dielectric constant and high breakdown strength. As an alternative to water, propylene carbonate (PC) has relatively low freezing temperature and large resistivity. In this study, TiO2 nano-particles with different volume concentrations have been suspended into PC to enhance the dielectric strength. Breakdown voltage and the time lag to breakdown with several tens microseconds’ duration have been investigated for PC and PC-based nano-fluids. The waveforms of breakdown voltages were measured by a calibrated voltage divider. Experimental results show that, with increasing the value of high-voltage electrode potential increasing rate, the breakdown strength increases and the time lag to breakdown decreases. Experimental results also show that, the dielectric properties of nano-fluids are strongly influenced by the volume percents of the nano-particles. In general, the addition of nano-particles is favorable for the overall dielectric performance of PC. For a large high-voltage electrode potential increasing rate, the mean breakdown voltage of nano-fluids is largely increased compared with that of PC; for a low high-voltage electrode potential increasing rate, the breakdown voltage increases and the scatter of breakdown data decreases, which shows a great potential to increase the reliability of the pulsed power system.
Ground Cover Vegetation Promotes Ecological Intensification of Pear Production

The use of ground cover vegetation is becoming a prominent intervention for promoting biodiversity and associated ecosystem services in Chinese orchards. Despite the large number of studies that have examined the effects of ground cover vegetation on promoting natural enemy populations and related natural pest control, it is less understood whether enhanced natural pest control translates to increase yield and reduced pesticide use. We conducted a 2-year experiment comparing three cover vegetation (ryegrass, clover, and hairy vetch) practices versus a bare ground control in commercial pear orchards in the Yangtze River Delta of East China (YRDEC), China. Natural enemy density (predator and parasitoid abundance), invertebrate herbivore performance (piercing-sucking herbivore abundance and branch-boring and fruit-boring percentage), pesticide input and pear fruit yield were recorded. The results indicated that cover vegetation decreased herbivore abundance and boring percentage by 49.95 and 63.6% respectively, and thus decreased pesticide use by 26.10%. Meanwhile, we found that cover vegetation increased the abundance of natural enemies by 620.75%, and increased pear fruit yield by 6.82%. Piecewise structural equation modelling indicated that increased natural enemy densities, decreased herbivore performance and pesticide use, while increasing fruit yield. Our results confirm that the use of ground cover vegetations (especially with clover and hairy vetch) can promote ecological intensification and biological pest control in pear orchards.
Communicating Resource Scarcity and Interpersonal Connection

Consumers often cite insufficient time or money as an excuse for rejecting social invitations. We explore the effectiveness of these excuses in preserving interpersonal relationships. Six studies – including perceptions of couples planning their wedding – demonstrate that using time scarcity as an excuse (e.g., “I don’t have time”) is less effective than using money scarcity as an excuse (e.g., “I don’t have money”). These effects are driven by the perceived controllability of these resources: Consumers accept that the availability of financial resources may be less subject to personal control than the availability of time. As a result, excuses citing time constraints are seen as less trustworthy and reduce feelings of interpersonal closeness and helping behavior. Despite the robustness of the effect, excuse-givers do not predict the relational disadvantages of citing time constraints. Communication that highlights the relative uncontrollability of time increases the effectiveness of these excuses. These findings advance our understanding of the role of references to time and money in consumer behavior, and provide practical insights to minimize social repercussions when rejecting social invitations.
Unit vector control of an unbalanced three‐axis gimbal for application to inertially stabilized platforms

Camera stabilization systems are employed in several types of mobile robots. The objective is to maintain the attitude of the camera constant despite the movements of the host vehicle. This paper deals with the problem of stabilizing a platform using a three‐degree‐of‐freedom gimbal as mechanical actuator. Mechanical unbalances are considered and a multivariable version of the unit vector control (UVC) is employed. The algorithm employs a newly proposed differentiator based on higher order sliding modes that is global and exact. This differentiator can also be used for monitoring and estimation purposes in mechatronic systems. Simulation results are presented using data acquired from an unmanned aerial vehicle (UAV) in autonomous flight.
Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram

Detecting drowsiness in drivers while driving is extremely important to avoid possible accidents and reduce the fatality rate due to drivers sleeping at the wheel. A real-time alert generation when the driver might possibly go into sleepy state is essential to safeguard any unwarranted incidents. Wearable sensors to monitor vehicle movement and camera-based systems to monitor driver behaviour are commonly used to detect driver drowsiness. Due to the fact that electroencephalogram (EEG) signals have the ability to monitor the mood of humans and are easily obtainable, many different EEG-based drowsiness detection systems have been proposed to date. In this study, a novel deep learning architecture based on a convolutional neural network (CNN) is proposed for automated drowsiness detection using a single-channel EEG signal. To improve the generalization performance of the proposed method, subject-wise, cross-subject-wise, and combined-subjects-wise validations have been employed. The whole of the work is carried over pre-recorded sleep state EEG data obtained from benchmarked dataset. The experimental results show a superior detection capability compared to the existing state–of–the–art drowsiness detection methods using single-channel EEG signals.
A Nonverbal Immediacy Treatment with Pre-Service Teachers Using Mixed Reality Simulations

Abstract The purpose of this mixed method embedded design study was to examine the effect of a treatment package consisting of video and reflection, video feedback, and coaching on pre-service teachers’ use of nonverbal immediacy behaviors as they delivered lessons to student avatars in mixed reality simulations. Pre-service teachers delivered lessons at three points of time over the course of a semester within a teacher preparation course. Following each simulation, participants received three components of a treatment package targeted at improving nonverbal immediacy behaviors of teachers. The quantitative data were collected via nonverbal immediacy scores. Qualitative data were collected via observations of simulations and participant exit interviews. Statistical analysis resulted in a significant difference in pre-service teachers’ nonverbal immediacy when Time 2 and Time 3 were compared. An analysis of qualitative data resulted in two findings. Finding one was: Video and reflection, video feedback, and coaching fostered pre-service teachers’ reflections on the simulated environment as they delivered lessons within the simulations. Finding two was: Video and reflection, video feedback and coaching within a mixed reality simulation environment improved pre-service teachers’ use of nonverbal immediacy behaviors in student interactions. Connections to literature and implications are provided.