Miracle-dz/UniFAR-FTUs huggingface dataset:
Prometastatic Effect of ATX Derived from Alveolar Type II Pneumocytes and B16-F10 Melanoma Cells

Simple Summary Only a few studies have reported a role of alveolar type II epithelial (ATII) pneumocytes in the development of the lung metastatic niche. In the present study, we investigated the contribution of autotaxin (ATX) produced by ATII cells in driving the progression of B16-F10 melanoma-derived lung metastases. We found that the metastatic burden is reduced when the ATX gene is deleted from both ATII and B16-F10 cells. We detected increased levels of cytokines such as IFNγ and TNFα, which could favor the increase in infiltrating CD8+ T cells observed in the tumor regions. Our findings suggest that a concomitant inhibition of ATX from both stromal and cancer cells may, in part, modulate the antitumor response to better control metastatic progression. Abstract Although metastases are the principal cause of cancer-related deaths, the molecular aspects of the role of stromal cells in the establishment of the metastatic niche remain poorly understood. One of the most prevalent sites for cancer metastasis is the lungs. According to recent research, lung stromal cells such as bronchial epithelial cells and resident macrophages secrete autotaxin (ATX), an enzyme with lysophospholipase D activity that promotes cancer progression. In fact, several studies have shown that many cell types in the lung stroma could provide a rich source of ATX in diseases. In the present study, we sought to determine whether ATX derived from alveolar type II epithelial (ATII) pneumocytes could modulate the progression of lung metastasis, which has not been evaluated previously. To accomplish this, we used the B16-F10 syngeneic melanoma model, which readily metastasizes to the lungs when injected intravenously. Because B16-F10 cells express high levels of ATX, we used the CRISPR-Cas9 technology to knock out the ATX gene in B16-F10 cells, eliminating the contribution of tumor-derived ATX in lung metastasis. Next, we used the inducible Cre/loxP system (Sftpc-CreERT2/Enpp2fl/fl) to generate conditional knockout (KO) mice in which ATX is specifically deleted in ATII cells (i.e., Sftpc-KO). Injection of ATX-KO B16-F10 cells into Sftpc-KO or Sftpc-WT control littermates allowed us to investigate the specific contribution of ATII-derived ATX in lung metastasis. We found that targeted KO of ATX in ATII cells significantly reduced the metastatic burden of ATX-KO B16-F10 cells by 30% (unpaired t-test, p = 0.028) compared to Sftpc-WT control mice, suggesting that ATX derived from ATII cells could affect the metastatic progression. We detected upregulated levels of cytokines such as IFNγ (unpaired t-test, p < 0.0001) and TNFα (unpaired t-test, p = 0.0003), which could favor the increase in infiltrating CD8+ T cells observed in the tumor regions of Sftpc-KO mice. Taken together, our results highlight the contribution of host ATII cells as a stromal source of ATX in the progression of melanoma lung metastasis.
Power Electronics for Modern Sustainable Power Systems: Distributed Generation, Microgrids and Smart Grids—A Review

This work presents and discusses the application of power electronics for the integration of several distributed generation sources, as well as those related to it, the microgrids and the smart grids, to the power sector. Trends and challenges are addressed for the area of study and an embracing overview of the main technologies and techniques is presented for future investigation. As there are many power electronics devices available for employment, in each one of these crucial, modern, sustainable electrical systems, it is important for students, researchers and professionals to understand and compare the state of the art of them all, for the right choice in their respective uses. These apparatuses not only allow grid matching, but also provide new functions that enhance these artifacts’ operations, and of the entire power system. Thus, in this paper, the relationship between power electronics and distributed generation is detailed, with the role and classification of each static converter for the improved operation of wind power, photovoltaic systems, fuel cells, small hydro and microturbines exposed. While the first two are more widely covered in the literature, the last three are rarely discussed and differentiated, in terms of their power electronics interfaces. Then, the same is made for microgrids and smart grids, also scarcely approached in other works, with regard to the characteristics of the power converters applied, confirming their superior performances with the use of power electronics. Finally, conclusions are given.
Comparative Analysis of Fruit Metabolome Using Widely Targeted Metabolomics Reveals Nutritional Characteristics of Different Rosa roxburghii Genotypes

The fruits of Rosa roxburghii (R. roxburghii) Tratt. , which are rich in bioactive compounds, provide numerous health benefits, yet the overall metabolism of R. roxburghii fruits and the metabolic profiles among different genotypes of R. roxburghii fruits are not fully understood. In the research, we used ultra-performance liquid chromatography/tandem mass spectrometry analysis to identify and quantify metabolites including phenolic acids, amino acids, and organic acids in six R. roxburghii genotypes; a total of 723 metabolites were identified. Comparative analysis showed some different characteristic metabolites in each genotype. Moreover, flavonoids, triterpenoids, and phenolic acids were significantly correlated with the antioxidant capacity of the fruit extract. Our results suggest that R. roxburghii fruits have rich bioactive metabolites beneficial to human health and that Rr-7 and Rr-f have more potential to be used as medicinal material or functional food than other genotypes. This research provides helpful information for developing new functional foods of R. roxburghii genotypes.
A review study on the investigation of the effects of using robots in education on metacognitive behaviors

In today's technology, robots are now involved in all aspects of life. Therefore, it is inconceivable that robots will not affect the field of education either. In this study, the use of robots in education has been explicitly discussed in terms of the development of metacognitive abilities. For this purpose, literature studies have been conducted both on the development of metacognitive skills and on how robots are used in education. According to the results obtained, although robots have been used in many fields of education, they have not been used primarily in the field of developing metacognitive skills. From this point of view, in this study, some research questions and suggestions for the application of metacognitive models through robots and, therefore, the use of robots to improve metacognitive skills are presented to the researchers. It is expected that it will benefit researchers related to this question and the proposed topic to direct their research and help close the lack of research in this area.
Temporal dysregulation of genes in lamb testis cell during sheeppox virus infection

The present study was aimed to elucidate the host–virus interactions using RNA‐Seq analysis at 1 h and 8 h of post‐infection of sheeppox virus (SPPV) in lamb testis cell. The differentially expressed genes (DEGs) and the underlying mechanisms linked to the host immune responses were obtained. The protein–protein interaction (PPI) network analysis and ingenuity pathway analysis (IPA) illustrated the interaction between the DEGs and their involvement in cell signalling responses. Highly connected hubs viz. AURKA, CHEK1, CCNB2, CDC6 and MAPK14 were identified through PPI network analysis. IPA analysis showed that IL‐6‐ and ERK5‐mediated signalling pathways were highly enriched at both time points. The TP53 gene was identified to be the leading upstream regulator that directly responded to SPPV infection, resulting in downregulation at both time points. The study provides an overview of how the lamb testis genes and their underlying mechanisms link to growth and immune response during SPPV infection.
Ion-Driven Electrochemical Random-Access Memory-Based Synaptic Devices for Neuromorphic Computing Systems: A Mini-Review

To enhance the computing efficiency in a neuromorphic architecture, it is important to develop suitable memory devices that can emulate the role of biological synapses. More specifically, not only are multiple conductance states needed to be achieved in the memory but each state is also analogously adjusted by consecutive identical pulses. Recently, electrochemical random-access memory (ECRAM) has been dedicatedly designed to realize the desired synaptic characteristics. Electric-field-driven ion motion through various electrolytes enables the conductance of the ECRAM to be analogously modulated, resulting in a linear and symmetric response. Therefore, the aim of this study is to review recent advances in ECRAM technology from the material and device engineering perspectives. Since controllable mobile ions play an important role in achieving synaptic behavior, the prospect and challenges of ECRAM devices classified according to mobile ion species are discussed.
Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome

Electrophysiological examination is important for the diagnosis and evaluation of nerve function in carpal tunnel syndrome (CTS). Electrophysiological severity classifications of CTS using a nerve conduction study (NCS) have been reported, and there are many reports on the relationship between severity classifications and clinical symptoms. The existing electrophysiological severity classifications have several problems, such as cases that do not fit into a classification and unclear reasons for the boundary value. The purpose of this study was to clarify the relationship between sensory nerve conduction velocity (SCV) and distal motor latency (DML) and to evaluate whether the existing severity classification method is appropriate. We created a scatter diagram between SCV and DML for our NCSs and found a negative correlation between SCV and DML (correlation coefficient, −0.786). When we applied our NCSs to the existing classifications (Padua and Bland classifications), there were many unclassifiable cases (15.2%; Padua classification), and the number of Grade 3 cases was significantly higher than that of Grade 2 or 4 cases (Bland classification). Our large dataset revealed a strong negative correlation between SCV and DML, indicating that the existing severity classifications do not always accurately reflect the severity of the disease.
Methodology for Predicting MAP-21 Interstate Travel Time Reliability Measure Target in Virginia

This study develops a target setting methodology for the (Moving Ahead for Progress) MAP-21 Interstate Travel Time Reliability Measure of “Percent of the Person-Miles Traveled on the Interstate that are Reliable” (PMTR-IS). The study uses data specific to Virginia for a set of independent variables (Hourly Volume, and Volume/Capacity Ratio, Truck Percentage, Equivalent Property Damage Only Rate, Lane Impacting Incident Rate, Number of Lanes, Presence of Safety Service Patrol, Terrain, Urban Designation) to predict whether a MAP-21 reporting segment is reliable. This is used to estimate predicted PMTR-IS with the MAP-21 specified formula. CART (classification and regression trees) models were used with 1,536 different configurations. Of the four best performing models, one was selected using engineering judgement. Datasets from 2017 and 2018 were used for training, and from 2019 and 2020 for testing. The predicted and calculated PMTR-IS were compared, and the error percentage was lower than 1% for 2019, which can be considered negligible. The 2020 error rate was higher and can perhaps be attributed to unusual reliability because of the impacts of the pandemic on travel. Sensitivity analyses revealed that the predicted PMTR-IS is reactive to capacity increase in unreliable sections at a local level, slower to respond to local AADT (annual average daily traffic) increase, and stable to small statewide AADT oscillations. The authors recommend using this methodology for target setting, taking into consideration the state authorities’ other strategic priorities.
Gingerenone A Induces Antiproliferation and Senescence of Breast Cancer Cells

Ginger is a popular spice and consists of several bioactive antioxidant compounds. Gingerenone A (Gin A), a novel compound isolated from Zingiber officinale, is rarely investigated for its anti-breast-cancer properties. Some ginger extracts have been reported to initiate senescence, an anticancer strategy. However, the anticancer effects of Gin A on breast cancer cells remain unclear. The present study aims to assess the modulating impact of Gin A acting on proliferation and senescence to breast cancer cells. Gin A diminished the cellular ATP content and decreased the cell viability of the MTS assay in several breast cancer cell lines. It also showed a delayed G2/M response to breast cancer cells (MCF7 and MDA-MB-231). N-acetylcysteine (NAC), an oxidative stress inhibitor, can revert these responses of antiproliferation and G2/M delay. The oxidative stress and senescence responses of Gin A were further validated by increasing reactive oxygen species, mitochondrial superoxide, and β-galactosidase activity, which were reverted by NAC. Gin A also upregulated senescence-associated gene expressions. In addition to oxidative stress, Gin A also induced DNA damage responses by increasing γH2AX level and foci and generating 8-hydroxyl-2′-deoxyguanosine in breast cancer cells, which were reverted by NAC. Therefore, Gin A promotes antiproliferation and senescence of breast cancer cells induced by oxidative stress.
Economic Growth and the Rate of Profit in Colombia 1967–2019: A VAR Time-Series Analysis

In recent decades, there has been a growing literature dealing with the empirical estimation of the rate of profit and other Marxian variables in several countries. Nonetheless, there has been a paucity of econometric research about the impact of those Marxian variables on the growth rate in developing countries. This article seeks to evaluate the rate of profit and the rate of accumulation as determinants of the growth rate in Colombia during 1967–2019, using a generalized vector autoregressive model. We find that both variables are statistically significant and, in concordance with Marxian theory predictions, affect positively the growth rate. We also identify direct impacts of the growth rate over the profit rate and the accumulation rate as well as an economic relevant relationship between these latter variables. JEL Classification: B51, C22, O54
Oil Injection Cooling Design for the IPMSM Applied in Electric Vehicles

In recent years, the power, torque, speed, and other performance of interior permanent magnet synchronous motor (IPMSM) for electric vehicles have improved. The temperature rise is an important factor limiting the performance of the motors. In this article, a novel hollow shaft oil injection cooling structure is proposed. The cooling oil is passed in from one end of the hollow shaft and enters the permanent magnet cavity through the radial oil channel. The centrifugal force generated by the rotation of the rotor causes the oil to be sprayed from the oil injection holes on the end caps at both ends of the rotor, and the winding ends and the stator are directly cooled, which reduces the internal temperature of the motor. The Taguchi method is used to analyze the influence of the novel hollow shaft oil injection cooling structure on the average temperature of the winding and the difference in the injection flow rate at both ends of the motor. Considering various operating conditions, the optimization scheme of the cooling structure is determined. Finally, the reliability of the structure is verified by stress calculation and modal analysis.
Partial Differential Equations of Motion for a Single-Link Flexible Manipulator

Robot manipulators have played an enormous role in the industry during the twenty-first century. Due to the advances in materials science, lightweight manipulators have emerged with low energy consumption and positive economic aspect regardless of their complex mechanical model and control techniques problems. This paper presents a dynamic model of a single link flexible robot manipulator with a payload at its free end based on the Euler–Bernoulli beam theory with a complete second-order deformation field that generates a complete second-order elastic rotation matrix. The beam experiences an axial stretching, horizontal and vertical deflections, and a torsional deformation ignoring the shear due to bending, warping due to torsion, and viscous air friction. The deformation and its derivatives are assumed to be small. The application of the extended Hamilton principle while taking into account the viscoelastic internal damping based on the Kelvin–Voigt model expressed by the Rayleigh dissipation function yields both the boundary conditions and the coupled partial differential equations of motion that can be decoupled when the manipulator rotates with a constant angular velocity. Equations of motion solutions are still under research, as it is required to study the behavior of flexible manipulators and develop novel ways and methods for controlling their complex movements.
Cluster Commercial Credit and Total Factor Productivity of the Manufacturing Sector

The study estimates the impact of cluster commercial credit on manufacturing total factor productivity from the perspective of county-level clusters. The data were collected from 1998 to 2015 from the Chinese Industrial Enterprise Database. Various econometrics methods were used to approach the study objectives. The study found that cluster commercial credit can significantly increase the total factor productivity of manufacturing. Through the analysis of the theoretical mechanism, it was found that improving the level of innovation and improving the efficiency of the capital allocation are important ways for cluster commercial credit to positively promote the total factor productivity of the manufacturing sector. The analysis of heterogeneity found that cluster commercial credit promoted the total factor productivity of state-owned enterprises, large-scale enterprises, capital-intensive industries, high-tech industries, and enterprises in coastal areas to a great extent. By constructing a quasi-natural experiment, using the method of multi-period double difference and PSM-DID to solve the problem of cluster commercial credit endogeneity, it passed the parallel trend, placebo, and other tests. Finally, this article further describes the relationship between corporate commercial credit and corporate total factor productivity from the enterprise-to-enterprise level and found that the use of commercial credit by enterprises has a significant and positive role in promoting corporate total factor productivity. The research results of this paper provide a reference for promoting the high-quality development of the country’s economy from the perspective of informal finance.
Permafrost Landscape Research in the Northeast of Eurasia

The results of permafrost landscape studies on northeastern Eurasia are presented in this review. The assessment of permafrost vulnerability to disturbances and global warming was the basis for the development of these studies. The permafrost landscape, considering the morphological features of the landscape and the permafrost together, is a timely object of study. The theoretical developments of Soviet physical geographers and landscape scientists are the basis for permafrost landscape studies. Over the past four decades, numerous permafrost landscape studies have been carried out on northeastern Eurasia (and Russia). Considering the results of these studies is the main objective of this article. The analysis of the problems of permafrost landscape identification, classification, and mapping and the study of their dynamics and evolution after disturbances and long-term development were carried out. Permafrost landscape studies employ the research methods of landscape science and geocryology. Environmental protection and adaptation of socioeconomic conditions to modern climate warming will determine the prospects for studying permafrost landscapes.
Self-Powered Self-Contained Wireless Vibration Synchronous Sensor for Fault Detection

Failure in dynamic structures poses a pressing need for fault detection systems. Interconnected sensor nodes of wireless sensor networks (WSN) offer a solution by communicating information about their surroundings. Nonetheless, these battery-powered sensors have an immense labor cost and require periodical battery maintenance and replacement. Batteries pose a significant environmental threat that is expected to cause irreversible damage to the ecosystem. We introduce a fully integrated vibration-powered energy harvester sensor system that is interfaced with a custom-developed fault detection app. Vibrations are used to power a radio frequency (RF) transmitter that is integrated with the vibration sensor subunit. The harvester-sensor unit is comprised of dual moving magnets that are bordered by coil windings for power and signal generation. The power generated from the harvester is used to operate the transmitter while the signal generated from the sensor is transmitted as a vibration signal. Transmitted values are streamed into a high precision fault detection app capable of detecting the frequency of vibrations with an error of 1%. The app employs an FFT algorithm on the transmitted data and notifies the user when a threshold vibration level is reached. The total energy consumed by the transmitter is 0.894 µJ at a 3 V operation. The operable acceleration of the system is 0.7 g [m/s2] at 5–10.6 Hz.
Antisocial Behavior as a Longitudinal Predictor of Somatization in Adolescents

ABSTRACT Antisocial behavior and somatization are common problems in schools that have several consequences. However, the relation among these problems is not clear. This longitudinal research aims to better understand whether antisocial behavior is related to and predicts somatization, in order to prevent and reduce both disorders in young people. A longitudinal study with a one-year follow-up was carried out with students from several schools in Spain (N = 384). Validated questionnaires were used to assess antisocial behavior and somatization. Descriptive, correlational and linear regression analyses were performed. Most of the antisocial behaviors had significant correlations with somatization in both waves of the study. High scores in theft, violence and substance use were related to high scores in somatization cross-sectionally and one year later, in boys and girls. Female gender, high scores in violence and high scores in status offenses were related concurrently to more somatic symptoms. Female gender, high scores in violence and high scores in substance use predicted more somatic symptoms one year later. Antisocial behavior was found to be highly related to somatization. Early substance use prevention programs and programs to decrease violence at school could help reduce substance use, violence and somatization in students.