Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid and high-sensitive LSPR sensor for coronavirus detection

A rapid, portable, and cost-effective method to detect the infection of SARS-CoV-2 is fundamental toward mitigating the current COVID-19 pandemic. A localized surface plasmon resonance (LSPR) sensor based on human angiotensin converting enzyme 2 protein (ACE2) functionalized silver nanotriangle array is developed for rapid coronavirus detection. The sensor is validated by SARS-CoV-2 spike RBD protein and CoV NL63 virus with high sensitivity and specificity. A linear shift of the LSPR wavelength and transmission intensity at a fixed wavelength (750 nm) versus the logarithm of the concentration of the spike RBD protein and CoV NL63 is observed. The limits of detection for the spike RBD protein, CoV NL63 in untreated saliva are determined to be 0.38 pM, and 625 PFU/mL, respectively, while the detection time is found to be less than 20 min. Such a LSPR sensor could serve as a potential rapid point-of-care diagnostic platform for COVID-19.
Postural Sway in Parkinson's Disease and Multiple Sclerosis Patients During Tasks With Different Complexity

Neurological diseases are associated with static postural instability. Differences in postural sway between neurological diseases could include “conceptual” information about how certain symptoms affect static postural stability. This information might have the potential to become a helpful aid during the process of finding the most appropriate treatment and training program. Therefore, this study investigated static postural sway performance of Parkinson's disease (PD) and multiple sclerosis (MS) patients, as well as of a cohort of healthy adults. Three increasingly difficult static postural tasks were performed, in order to determine whether the postural strategies of the two disease groups differ in response to the increased complexity of the balance task. Participants had to perform three stance tasks (side-by-side, semi-tandem and tandem stance) and maintain these positions for 10 s. Seven static sway parameters were extracted from an inertial measurement unit that participants wore on the lower back. Data of 47 healthy adults, 14 PD patients and 8 MS patients were analyzed. Both healthy adults and MS patients showed a substantial increase in several static sway parameters with increasingly complex stance tasks, whereas PD patients did not. In the MS patients, the observed substantial change was driven by large increases from semi-tandem and tandem stance. This study revealed differences in static sway adaptations between PD and MS patients to increasingly complex stance tasks. Therefore, PD and MS patients might require different training programs to improve their static postural stability. Moreover, this study indicates, at least indirectly, that rigidity/bradykinesia and spasticity lead to different adaptive processes in static sway.
Drivers of Green Entrepreneurial Intention: Why Does Sustainability Awareness Matter Among University Students?

Entrepreneurship is an essential aspect of economic growth because of its contribution to people’s welfare through employment opportunities. Universities offer compulsory entrepreneurship subjects for students with the support of government policies. Therefore, this study aimed to determine the factors that influence the students’ intentions to become green entrepreneurs using contextual aspects as moderators. The applied theoretical model was the planned behavior (TPB) that adds cultural values and cognitive knowledge. The sample included 305 students from 10 private universities in Jakarta. The results showed that green entrepreneurial intentions are affected by perceived behavioral control (PBC), cultural values, cognition knowledge, and contextual factors. However, they lack a significant effect on attitudes toward behavior and subjective norms. Second, the contextual factors can moderate the relationship between variables and significantly affect green entrepreneurial intentions. Third, they moderate attitudes toward behavior and cognitive knowledge with green entrepreneurial intentions. Contrastingly, other factors had no effect when contextual factors moderated the relationship.
KNOWLEDGE AND FUZZY NEURAL NETWORK BASED FAULT DIAGNOSTIC EXPERT SYSTEM

A fault diagnosis expert system based on the knowledge and fuzzy neural network is developed. The frame of fault diagnosis system is designed and constructed. The comprehensive diagnosis idea of expert system under the control of task scheduler is showed in this frame. Knowledge base is the kernel of fault diagnosis expert system. It is defined as generalized three layer rulebase structure in this system which consists of basic rules, fault diagnosis rules, result merging rules. The function to classify faults and combine diagnosis results in expert system is realized by FNN. The issue of input and output parameter fuzzification of FNN is also discussed in this paper. Finally, as an example, a turbine fault diagnosis is analyzed. It shows that the expert system has the high reasoning efficiency and diagnosis accuracy.
Revisiting the Meltzer-Richard hypothesis of pretax income inequality and income tax rate

ABSTRACT The Meltzer-Richard hypothesis maintains that higher pretax income inequality entails higher income tax rate chosen by majority-rule voting. However, empirical studies found evidence against the Meltzer-Richard hypothesis. This article reconsiders the Meltzer-Richard hypothesis by dropping their assumption of lump-sum transfers. It finds that the Meltzer-Richard hypothesis is not robust to relaxing the lump-sum transfer assumption. Without lump-sum transfers, the Meltzer-Richard hypothesis no longer holds, as the effect of pretax income inequality on politico-economic equilibrium income tax rate is no longer certainly positive.
Effects of Maturation Stage on Sprinting Speed Adaptations to Plyometric Jump Training in Youth Male Team Sports Players: A Systematic Review and Meta-Analysis

Purpose To determine the effects of maturation stage (eg, classified in the same intervention protocol as early-, and late-mature) on linear sprinting speed adaptations to plyometric jump training (PJT) in youth (aged <18 years) male team sports players. Patients and Methods Eligibility criteria was determined based on PICOS: (P) healthy youth male team sport players classified in the same intervention protocol in ≥2 maturation-related categories, based on a recognized maturation stage-determination method, including (but not limited to) Tanner stage; peak height velocity (eg, Mirwald method); radiography-based method (eg, Fels method); (I) athletes exposed to PJT with a minimum of 4 weeks duration; (C) athletes non-exposed to PJT (non-dedicated intervention, ie, only field-based regular training) or performing a parallel intervention not-related with PJT organized by maturation levels; (O) sprinting speed (eg, time, maximal sprint speed) measured in any linear sprint test trajectories before and after the intervention; (S) only randomized controlled and/or parallel trials. Searches were conducted on December 2021 in EMBASE, PubMed, Scopus, SPORTDiscus and Web of Science, restricted to Portuguese, Spanish and English languages, with no restrictions regarding publication date, and no filters applied. The PEDro scale was used to assess the risk of bias in the included studies. Meta-analysis was computed using the inverse variance random-effects model. The significance level was set at p < 0.05. Results The search identified 1219 titles. From those, four studies were selected for qualitative and quantitative synthesis. Four studies provided data for sprinting performance, involving 10 experimental and 8 control groups showing a small effect of trained participants on sprinting performance (ES = 0.31; p = 0.064; I2 = 41.3%) when compared to controls. No significant moderator effect was noted for somatic maturity (p = 0.473 between groups). Conclusion PJT had no significant effect on sprinting performance, although the inclusion criteria partially may explain that.
The Contribution of Gut Microbiota and Endothelial Dysfunction in the Development of Arterial Hypertension in Animal Models and in Humans

The maintenance of the physiological values of blood pressure is closely related to unchangeable factors (genetic predisposition or pathological alterations) but also to modifiable factors (dietary fat and salt, sedentary lifestyle, overweight, inappropriate combinations of drugs, alcohol abuse, smoking and use of psychogenic substances). Hypertension is usually characterized by the presence of a chronic increase in systemic blood pressure above the threshold value and is an important risk factor for cardiovascular disease, including myocardial infarction, stroke, micro- and macro-vascular diseases. Hypertension is closely related to functional changes in the endothelium, such as an altered production of vasoconstrictive and vasodilator substances, which lead to an increase in vascular resistance. These alterations make the endothelial tissue unresponsive to autocrine and paracrine stimuli, initially determining an adaptive response, which over time lead to an increase in risk or disease. The gut microbiota is composed of a highly diverse bacterial population of approximately 1014 bacteria. A balanced intestinal microbiota preserves the digestive and absorbent functions of the intestine, protecting from pathogens and toxic metabolites in the circulation and reducing the onset of various diseases. The gut microbiota has been shown to produce unique metabolites potentially important in the generation of hypertension and endothelial dysfunction. This review highlights the close connection between hypertension, endothelial dysfunction and gut microbiota.
Improving Bag-of-Deep-Visual-Words Model via Combining Deep Features with Feature Difference Vectors

Bag-of-Deep-Visual-Words (BoDVW) model has shown its advantage to Convolutional Neural Network (CNN) model in image classification tasks with a small number of training samples. An essential step in BoDVW model is to extract deep features by using an off-the-shelf CNN model as a feature extractor. Two deep feature extraction methods have been raised in recent years. The first method densely samples multi-scale image patches and then converts them into deep features via a deep-level fully-connected layer. The second method uses the output of a deep-level convolutional layer or pooling layer as the source of deep features. By contrast, the second method is much more efficient. However, it performs worse than the first method in classification accuracy. The reason is that deep features extracted by the second method are yielded in receptive fields of a single size. To make BoDVW model have high feature extraction efficiency and high classification accuracy, we propose enhancing deep features extracted by the second method at low added computation costs by supplementing the information obtained from receptive fields of different sizes. Concretely, we raise a novel feature named “feature difference (FD) vector” in this article. It can roughly preserve the information of multiple deep features extracted by the convolutional layers of different receptive field sizes. Each deep feature is enhanced by combining an FD vector to form a combined feature. The image representation vector of an image is generated using the combined features extracted from it. Our experimental results on three public datasets (15-Scenes, TF-Flowers, and NWPU-RESISC45) show that our method can avoid the high computation costs of the first method and achieve comparable results to the first method, which exhibits the effectiveness of our method.
Identifying strawberry DOF family transcription factors and their expressions in response to crown rot

Crown rot is one of the most destructive diseases of cultivated strawberry. The DOF family transcription factors, which involved in biotic stress, has not been studied in responding to strawberry crown rot. In this study, the DOFs of Fragaria × ananassa, F. iinumae, F. nilgerrensis, F. viridis, and F. vesca were characterized. One hundred and eighteen FaDOFs, twenty-two FiDOFs, twenty-three FnDOFs, twenty-five FviDOFs and thirty-seven FvDOFs were identified. Gene cluster analysis showed nearly seventy segmental duplication and seventeen tandem duplications for DOF family expansion in octaploid strawberry. In addition, 59 FaDOFs showed syntenic relationships with 32 AtDOFs, which were located on all F. ×ananassa chromosomes except Fvb4-1 and Fvb4-2. Except for five DOFs of diploid strawberries had syntenic relationships to one FaDOF, most of them corresponded to multiple FaDOFs. Gene expression analysis revealed that 107 FaDOFs were expressed in crown, and most of them were downregulated by crown rot, while some FaDOFs such as FaDOF107, 12, 82, 91, 90 and 101 were upregulated, whose regulation was not always consistent with the cis-elements in their promoters. Together, these results provided a basis for further functional studies of the FaDOFs.
First Record of Ophidonais serpentina (Müller, 1773) (Oligochaeta: Naididae) in China: The Occurrence or Absence of Needles Are Intraspecific Differences

A naidid oligochaete, Ophidonais serpentina (Müller, 1773) is redescribed based on specimens from the Xinkai River in Zhejiang Province, China. O. serpentina is very common in Europe and America. This study is the first record of the species in China. By integrating the previously morphological descriptions related to O. serpentina in the world, it can be divided into three morphological groups: a group with dorsal chaetae starting from VI, a group without dorsal chaetae, and a group with an unstable starting position of the dorsal chaetae. By comparing the mitochondrial DNA (16S rDNA, COI), nuclear DNA (ITS2), and histones (H3) from the three groups, Bayesian inference and maximum likelihood phylogenetic analyses were performed based on the combined data set. Different analyses gave almost consistent phylogenetic trees. All of the genetic distances between the three groups were 0.00%. No genetic variation can be detected between the specimens regardless of the presence and starting position of dorsal chaetae. This result suggests that a single lineage of O. serpentina is widespread worldwide.
Intermediate Pyrolysis of Brewer’s Spent Grain: Impact of Gas Atmosphere

This work focuses on the impact of carrier gas on the quantity and quality of pyrolytic products received from intermediate pyrolysis of the brewer’s spent grain. In this study, three types of carrier gases were tested: argon, nitrogen, and carbon dioxide at three temperatures of 500, 600, and 700 °C. On the basis of the process conditions, the yield of products was determined. The ultimate analysis of the char was performed, and for selected chars, the combustion properties were determined. Gas chromatography of the organic fraction of oil was performed, and the compounds were determined. Additionally, microscale investigation of the spent grain pyrolysis was performed by thermogravimetric analysis. The results showed that there were no significant differences in product yields in various atmospheres. Char yield changed only with temperature from 28% at 500 °C up to 19% at 700 °C. According to ultimate analysis, the char from CO2 pyrolysis was approximately 2% richer in carbon and this fact did not influence on the combustion properties of the char. The oil fraction was characterized mainly by acids with a maximum content of 68% at 600 °C in an argon atmosphere and the acid concentration depended on the carrier gas as follows line: Ar > N2 > CO2.
Vital Sign Signal Extraction Based on mmWave Radar

This research develops an algorithm for health monitoring and uses the In-fineon BGT60TR13C shield 60GHz radar to build a set of software and hard-ware demonstration platforms for algorithm verification. The algorithm can monitor the position, breathing, heartbeat and other information of the elderly in real time, which is used to judge the health status of the elderly and improve the convenience for early warning and rescue of abnormal situations in time. However, limited by the transmission power of this radar and the number of transmitting and receiving antennas, the current detection range of the algorithm is relatively small, and the ability to distinguish between multiple persons is limited. This problem can be optimized by replacing other types of radars in the future.
importance of understanding the application of marketing strategy for household MSME products on social media networks

This literature review aims to gain an in-depth understanding of many practical applications as a strategy to increase the marketing of small household business products, mainly social media networking applications. We think that in this era of increasingly networking, there is no mistaking that even small businesses are still integrated into the social networking system to increase marketing through various social media platforms. This study uses secondary data from scientific findings from some publications, both books, and scientific journals, especially in the marketing business. We have made research efforts to get the essence of understanding that can answer the problem of studying digital-based marketing literacy, especially this social media. Our strategy for getting the gist of the answer is through data analysis, which we believe is under a phenomenological approach, which starts with coding data analysis, then evaluates the data sharply, and we also interpret it so that we will be able to take the findings as conclusions that can answer the problem validly and impressive.
RNA-Seq Reveals Waterlogging-Triggered Root Plasticity in Mungbean Associated with Ethylene and Jasmonic Acid Signal Integrators for Root Regeneration

Global climate changes increase the frequency and intensity of heavy precipitation events, which result in flooding or soil waterlogging. One way to overcome these low-oxygen stresses is via modifying the plant root system to improve internal aeration. Here, we used a comparative RNA-seq based transcriptomic approach to elucidate the molecular mechanisms of waterlogging-triggered root plasticity in mungbean (Vigna radiata), a major grain legume cultivated in Asia. Two mungbean varieties with contrasting waterlogging tolerance due to the plasticity of the root system architecture were subjected to short-term and long-term waterlogging. Then, RNA-seq was performed. Genes highly expressed in both genotypes under short-term waterlogging are related to glycolysis and fermentation. Under long-term waterlogging, the expression of these genes was less induced in the tolerant variety, suggesting it had effectively adapted to waterlogging via enhancing root plasticity. Remarkably, under short-term waterlogging, the expression of several transcription factors that serve as integrators for ethylene and jasmonic acid signals controlling root stem cell development was highly upregulated only in the tolerant variety. Sequentially, root development-related genes were more expressed in the tolerant variety under long-term waterlogging. Our findings suggest that ethylene and jasmonic acids may contribute to waterlogging-triggered root plasticity by relaying environmental signals to reprogram root regeneration. This research provides the basis for the breeding and genetic engineering of waterlogging-tolerant crops in the future.
Long non-coding RNA SPRY4-IT1 promotes proliferation and metastasis in nasopharyngeal carcinoma cell

Background Long non-coding RNA SPRY4 intronic transcript 1 (Lnc RNA SPRY4-IT1) was aberrant-expressed in various kinds of cancer. Increasing evidence demonstrated that lnc RNAs involved in tumorigenesis and metastasis. In this study, we aimed to explore the biological role of SPRY4-IT1 on the phenotype of nasopharyngeal carcinoma (NPC) in vitro and in vivo. Methods The expression level of SPRY4-IT1 in NPC cell lines were measured by quantitative real-time polymerase chain reaction (qRT-PCR). Cell Counting Kit-8 (CCK-8) and colony formation assay were used to detect cell proliferation. Wound-healing assay, transwell assay and animal experiment were performed to evaluate the ability of cell migration and metastasis. Cell cycle distribution and apoptosis were determined by flow cytometry. Western blotting and immunofluorescence were employed to identify protein expression. Results SPRY4-IT1 was significantly up-regulated in several NPC cell lines (6-10B, CNE-2, and HONE-1) compared with human immortalized nasopharyngeal epithelial cell (NP69). Silencing of SPRY4-IT1 inhibited proliferation, migration, and metastasis, and induced significant G2/M phase arrest and apoptosis. Western blotting showed that the expression levels of cell cycle-related proteins (cyclin B1, cdc2 and p-cdc2) were down-regulated and apoptosis-associated proteins (PARP, cleaved PARP and cleaved caspase-3) were up-regulated after knockdown of SPRY4-IT1. The expression level of E-cadherin was increased and the expression of Vimentin, Snail and Twist1 were decreased after the SPRY4-IT1 knockdown. Conclusion lncRNA SPRY4-IT1 played a significant role in NPC proliferation, migration and metastasis, suggesting that SPRY4-IT1 might be a potential therapeutic target for the treatment of NPC.
Dynamic Analysis of Deep-Ocean Mining Pipe System by Discrete Element Method

The dynamic analysis of a pipe system is one of the most crucial problems for the entire mining system.A discrete element method(DEM)is proposed for the analysis of a deep-ocean mining pipe system,including the lift pipe,pump,buffer and flexible hose.By the discrete element method,the pipe is divided into some rigid elements that are linked by flexible connectors.First,two examples representing static analysis and dynamic analysis respectively are given to show that the DEM model is feasible.Then the three-dimensional DEM model is used for dynamic analysis of the mining pipe system.The dynamic motions of the entire mining pipe system under different work conditions are discussed.Some suggestions are made for the actual operation of deep-ocean mining systems.