Miracle-dz/UniFAR-FTUs huggingface dataset:
The Fault Detection of Aero-engine Sensor Based on Deep Belief Networks

Due to its high complexity and accuracy, the faults of aeroengine sensor can not be described with precise mathematical model and it is hard to detect the faults using traditional redundant method. Focus on this problem, a big data-deep learning based model is established to detect the faults of sensor of the engine air exhaust temperature. The classified model using deep belief network(DBN) is built firstly and is trained using a great number of data collected by flight parameter recorder. The model is able to classify the fault through feature learning layer by layer. The results of simulation experiment show that the accuracy with artificial feature extraction is 98% while 96.6% without it. The accuracy of this model is higher than the model using BP neural net and support vector machine(SVM) in both conditions which shows the superiority of the DBN algorithm in sensors fault diagnosis.
Dynamic Testing and Modeling of a Superelevated Skewed Highway Bridge

Created in response to the aging infrastructure in the United States, the Long Term Bridge Performance Program (LTBPP) under the Federal Highway Administration (FHWA) proposes to assess the long-term performance of representative bridges through nondestructive evaluation (NDE) techniques and visual inspection. For consistency, a set of guidelines is needed to define the procedures for testing each bridge. The NDE techniques involve dynamic testing, and the protocol for this testing has yet to be finalized. To evaluate the dynamic testing guidelines, a 103 ft single-span, simply supported highway bridge was dynamically tested. The test bridge was characterized by a skew of 34° and superelevation around 4%. Forced vibration testing involved an impact hammer with accelerometers measuring the response. Resonant frequencies were identified from the data by picking peaks from the magnitudes of the frequency response functions (FRF). Eleven modes were identified with frequencies ranging from 2.75 Hz to 22.5 Hz. Mode shapes associated with each mode were constructed using the imaginary components of the FRFs. The half-power bandwidth method was used to estimate the damping for each mode, with values ranging from 1% to 5% of critical damping. Finite element (FE) models of the bridge were constructed in the commercial FE software Abaqus. The effects of adding and removing superelevation and skew, varying mesh refinement, and changing boundary conditions on modal parameters were thoroughly investigated. FE models were compared to the experimental results by directly comparing frequencies and using the modal assurance criterion to compare mode shapes. Support conditions of the actual structure were bounded using the results of the comparison. Much insight was gained about forced vibration testing as applied to a full-scale bridge. The spectral resolution of the data proved to limit the accuracy and confidence of detecting closely-spaced modes and calculating damping estimates. Also, a more controlled method of exciting the structure was desired, such as using a shaker with a known input. Resonant frequencies of the FE models were sensitive to changes in boundary conditions, with some frequencies doubling. Both changes in boundary conditions and including skew and superelevation noticeably affected the mode shapes. When compared to the experimental results, the models with idealized roller and pin boundary conditions provided the best correlations based on resonant frequencies and mode shapes.
Transcriptional activation of integrin beta6 during the epithelial- Transcriptional activation of integrin beta6 during the epithelial-mesenchymal transition defines a novel prognostic indicator of mesenchymal transition defines a novel prognostic indicator of aggressive colon carcinoma aggressive c

We used a spheroid model of colon carcinoma to analyze integrin dynamics as a function of the epithelial-mesenchymal transition (EMT), a process that provides a paradigm for understanding how carcinoma cells acquire a more aggressive phenotype. This EMT involves transcriptional activation of the β 6 integrin subunit and a consequent induction of α v β 6 expression. This integrin enhances the tumorigenic properties of colon carcinoma, including activation of autocrine TGF- β and migration on interstitial fibronectin. Importantly, this study validates the clinical relevance of the EMT. Kaplan-Meier analysis of β 6 expression in 488 colorectal carcinomas revealed a striking reduction in median survival time of patients with high β 6 expression. Elevated receptor expression did not simply reflect increasing tumor stage, since log-rank analysis showed a more significant impact on the survival of patients with early-stage, as opposed to late-stage, disease. Cox regression analysis confirmed that this integrin is an independent variable for these tumors. These findings define the α v β 6 integrin as an important risk factor for early-stage disease and a novel therapeutic candidate for colorectal cancer. 3G9 (30 μ g/ml) or isotype-matched control (CS β 6). Cells were cultured for an additional 16–20 hours, and lysates were assayed for luciferase activity as previously described (16). Statistical methods . Kaplan-Meier method was used to estimate median survival, 5-year survival, and 10-year survival along with their 95% confidence intervals. Log-rank test was used to examine the differences in the overall survival between groups. The proportional hazard ratio model was used to obtain more precise estimates of the effects of protein expression on survival by adjusting for the effects of age, gender, tumor type, and cancer stage. In all analyses, only disease-related deaths were treated as events.
Unequal Crossing Over Locus by KIR Cutting Edge: Expansion of the

The killer Ig-like receptor ( KIR ) genes have high sequence similarity and are organized in a head-to-tail fashion. These properties may enhance misalignment of homologous chromosomes during synapsis preceding meiotic recombination, resulting in unequal crossing over. We have identified an extended KIR haplotype that contains a novel hybrid gene and two copies of each of two previously described KIR genes. A parsimonious mechanism for the derivation of this haplotype invokes unequal crossing over between two known ancestral KIR haplotypes. These data raise the possibility that unequal crossing over may be re-sponsible in part for the expansion/contraction of KIR haplotypes as well as other homologous gene families that map in tandem. The Journal of Immunology, 2003, 171: 2192–2195.
Functional interaction between Trace Amine Associated Receptor 1 (TAAR1) and dopamine D2 receptor

The ability of dopamine receptors to interact with other receptor subtypes may provide mechanisms for modulating dopamine-related functions and behaviors. In particular, there is evidence suggesting that the Trace Amine-Associated Receptor 1 (TAAR1) affects the dopaminergic system by regulating the firing rate of dopaminergic neurons or by altering dopamine D2 receptor (D2R) responsiveness to ligands. TAAR1 is a G protein-coupled receptor that is activated by biogenic amines, “trace amines” (TAs), such as β -phenylethylamine ( β -PEA) and tyramine that are normally found at low concentrations in the mammalian brain. In the present study, we investigated the biochemical mechanism of interaction between TAAR1 and D2R and the role this interaction plays in D2R-related signaling and behaviors. Using a bioluminescence resonance energy transfer (BRET) biosensor for cAMP, we demonstrated that the D2R antagonists haloperidol, raclopride and amisulpride were able to enhance selectively a TAAR1-mediated β -PEA increase of cAMP. Moreover, TAAR1 and D2R were able to form heterodimers when co-expressed in HEK 293 cells and this direct interaction was disrupted in the presence of haloperidol. In addition, in mice lacking TAAR1, haloperidol-induced striatal c-Fos expression and catalepsy were significantly reduced. Taken together, these data suggest that TAAR1 and D2R have functional as well as physical interactions that could be critical for the modulation of the dopaminergic system by TAAR1 in vivo . the with the presence of the receptors in the membrane. When TAAR1 is co-expressed with D2R, its presence on the membrane is significantly reduced by about 50% (p<0.001) compared to cells in which this receptor expressed alone. The reduction in TAAR1 levels was not observed in cells expressing TAAR1 and D1R. B, D2R co-expression does not affect membrane levels of D1R By using a HA-D1R we measured the effect of D2R on D1R expression. D2R co-expression did not cause significant changes in D1R membrane levels. C, D2R membrane expression is not modulated by co-expression with TAAR1. In cells expressing both TAAR1 and D2R receptors, D2R surface immunoreactivity is not changed compared to cells only expressing D2R. D, D2R co-expression, but not D1R, significantly reduces TAAR1 total expression. TAAR1 tagged with Renilla luciferase in the C-terminus was used to monitor the total expression of the receptor by using the cell permeable R luc substrate coelenterazine h . The cells were detached from their dishes and approximately 90000 cells were placed for each well in a 96-well plate. Coelenterazine h was added at a final concentration of 5 µM and 10 minutes later the luminescence was measured. Similarly to surface expression, total amount of TAAR1 was also reduced in presence of D2R by about 60% (p<0.01). All values are expressed as means ± SEM (n=3-5 independent experiments for each experimental condition).
A framework for optimal clustering of a greenfield distribution network area into multiple autonomous microgrids

Microgrids (MGs) are recognized as cores and clusters of smart distribution networks. The optimal planning and clustering of smart low-voltage distribution networks into autonomous MGs within a greenfield area is modeled and discussed in this paper. In order to form and determine the electrical boundary of MGs set, some predefined criteria such as power mismatch, supply security and load density are defined. The network includes an external grid as backup and both dispatchable and non-dispatchable Distributed Energy Resources (DERs) as MGs resources. The proposed strategy offers optimum sizing and siting of DERs and MV substations for the autonomous operation of multiple MGs simultaneously. The imperialist competitive algorithm (ICA) is used to optimize the cost function to determine the optimal linked MG clustering boundary. To evaluate the algorithm the proposed method is applied to a greenfield area which is planned to become a mixed residential and commercial town. The MGs’ optimal border, DERs location, size and type within each MG and LV feeders route are illustrated in both graphical and tabular form.
A Review of Potential Use of Amazonian Oils in the Synthesis of Organogels for Cosmetic Application

New strategies for the delivery of bioactives in the deeper layers of the skin have been studied in recent years, using mainly natural ingredients. Among the strategies are organogels as a promising tool to load bioactives with different physicochemical characteristics, using vegetable oils. Studies have shown satisfactory skin permeation, good physicochemical stability mainly due to its three-dimensional structure, and controlled release using vegetable oils and low-molecular-weight organogelators. Within the universe of natural ingredients, vegetable oils, especially those from the Amazon, have a series of benefits and characteristics that make them unique compared to conventional oils. Several studies have shown that the use of Amazonian oils brings a series of benefits to the skin, among which are an emollient, moisturizing, and nourishing effect. This work shows a compilation of the main Amazonian oils and their nutraceutical and physicochemical characteristics together with the minority polar components, related to health benefits, and their possible effects on the synthesis of organogels for cosmetic purposes.
Exploring the Effects of Different Bacteria Additives on Fermentation Quality, Microbial Community and In Vitro Gas Production of Forage Oat Silage

Simple Summary Forage oat is an important feed resource in the world. Few studies on the application of different bacterial additives in forage oat silage have been found, which limits the utilization and promotion of oat silage in animal husbandry. In this study, we compared the fermentation quality and in vitro gas production of oat silage treated with four additives (Lactiplantibacillus plantarum F1,LP; Lacticaseibacillus rhamnosus XJJ01, LR; Lacticaseibacillus paracasei XJJ02, LC; and Propionibacterium acidipropionici 1.1161, PP). The results show that compared to the CK group (without additives), the LR group had a higher dry matter content, while the LP group showed an improvement in fermentation quality. At the same time, the bacterial community in the LR group was also different from that in other groups. The treatments of PP and LC had no significant effects on fermentation quality, but the in vitro gas production was significantly reduced in the treated oat silage. These results could help us to optimize the utilization of forage oat silage in balanced ruminant diets. Abstract Bacterial inoculants are considered as a good choice for successful ensiling, playing a key role in improving the silage quality. However, the potential of different bacteria, especially the propionic acid bacteria, in forage oat ensiling is yet to be explored. Therefore, the purpose of this study was to investigate the regulation effects of different bacterial additives on the fermentation quality of forage oat silage. Four additives (Lactiplantibacillus plantarum F1, LP; Lacticaseibacillus 0rhamnosus XJJ01, LR; Lacticaseibacillus paracasei XJJ02, LC; and Propionibacterium acidipropionici 1.1161, PP; without additives, CK) were inoculated in forage oat silage, and the fermentation quality and organic compounds were determined after 60 days of ensiling. Notably, LR showed higher dry matter preservation compared to other additives and CK. In addition, LP and LR showed strong lactic acid synthesis capacity, resulting in lower pH compared to other additives and CK. The treatments of PP and LC increased the bacterial diversity in silage, while the bacterial community in the LR group was different from that in other groups. In addition, the PP- and LC-treated oat silage showed significantly lower total in vitro gas production and a lower methane content. These results suggest that LP is more favorable for producing high-quality oat silage than LR, LC, or PP. Both the PP- and LC- treated oat silage may reduce rumen greenhouse gas emissions.
Silver Birch (Betula pendula Roth.) on Dry Mineral Rather than on Deep Peat Soils Is More Dependent on Frozen Conditions in Terms of Wind Damage in the Eastern Baltic Region

In Northern Europe, the ongoing winter warming along with increasing precipitation shortens the periods for which soil is frozen, which aggravates the susceptibility of forest stands to wind damage under an increasing frequency of severe wind events via the reduction in soil–root anchorage. Such processes are recognized to be explicit in moist and loose soils, such as deep peat, while stands on dry mineral soils are considered more stable. In the hemiboreal forest zone in the Eastern Baltics, silver birch (Betula pendula Roth.) is an economically important species widespread on mineral and peat soils. Although birch is considered to be less prone to wind loading during dormant periods, wind damage arises under moist and non-frozen soil conditions. Static tree-pulling tests were applied to compare the mechanical stability of silver birch on frozen and non-frozen freely draining mineral and drained deep peat soils. Basal bending moment, stem strength, and soil–root plate volume were used as stability proxies. Under frozen soil conditions, the mechanical stability of silver birch was substantially improved on both soils due to boosted soil–root anchorage and a concomitant increase in stem strength. However, a relative improvement in soil–root anchorage by frozen conditions was estimated on mineral soil, which might be attributed to root distribution. The soil–root plates on the mineral soil were narrower, providing lower leverage, and thus freezing conditions had a higher effect on stability. Accordingly, silver birch on peat soil had an overall higher estimated loading resistance, which suggested its suitability for forest regeneration on loose and moist soils within the Eastern Baltic region. Nevertheless, adaptive forest management supporting individual tree stability is still encouraged.
Molecular Pharmacology of Inflammation Resolution in Atherosclerosis

Atherosclerosis is one of the most important problems of modern medicine as it is the leading cause of hospitalizations, disability, and mortality. The key role in the development and progression of atherosclerosis is the imbalance between the activation of inflammation in the vascular wall and the mechanisms of its control. The resolution of inflammation is the most important physiological mechanism that is impaired in atherosclerosis. The resolution of inflammation has complex, not fully known mechanisms, in which lipid mediators derived from polyunsaturated fatty acids (PUFAs) play an important role. Specialized pro-resolving mediators (SPMs) represent a group of substances that carry out inflammation resolution and may play an important role in the pathogenesis of atherosclerosis. SPMs include lipoxins, resolvins, maresins, and protectins, which are formed from PUFAs and regulate many processes related to the active resolution of inflammation. Given the physiological importance of these substances, studies examining the possibility of pharmacological effects on inflammation resolution are of interest.
Determination of Low Muscle Mass by Muscle Surface Index of the First Lumbar Vertebra Using Low-Dose Computed Tomography

The muscle index of the first vertebra (L1MI) derived from computed tomography (CT) is an indicator of total skeletal muscle mass. Nevertheless, the cutoff value and utility of L1MI derived from low-dose chest CT (LDCT) remain unclear. Adults who received LDCT for health check-ups in 2017 were enrolled. The cutoff values of L1MI were established in subjects aged 20–60 years. The cutoff values were used in chronic obstructive pulmonary disease (COPD) patients to determine muscle quantity. A total of 1780 healthy subjects were enrolled. Subjects (n = 1393) aged 20–60 years were defined as the reference group. The sex-specific cutoff values of L1MI were 26.2 cm2/m2 for males and 20.9 cm2/m2 for females. Six subjects in the COPD group (6/44, 13.6%) had low L1MI. COPD subjects with low L1MI had lower forced expiratory volume in one second (0.81 ± 0.17 vs. 1.30 ± 0.55 L/s, p = 0.046) and higher COPD assessment test scores (19.5 ± 2.6 vs. 15.0 ± 4.9, p = 0.015) than those with normal L1MI. In conclusion, LDCT in health assessments may provide additional information on sarcopenia.
Validation of the Spanish Version of the Double Knowledge Expectations and Received Knowledge Significant Other Scale for Informal Caregivers of People with Dementia (KESO-DEM/RKSO-DEM)

Dementia is associated with cognitive decline. Becoming an informal caregiver raises questions, requiring information and support from health professionals to guide home care. A multicenter, longitudinal study was carried out to validate the Spanish version of the double scale of expected and received knowledge for informal caregivers of people with dementia (KESO-DEM/RKSO-DEM), the analysis of the dimensional structure of the instrument, its validity and reliability, and temporary stability was carried out. An analysis of criterion and construct validity, internal consistency, and test–retest stability was performed. The evaluation of the interrelation between dimensions was statistically significant. Regarding internal consistency, the scale values were good both for the scale totals and for each dimension of knowledge, with Cronbach’s alpha coefficients of 0.97. For criterion validity, all items showed temporal stability for both questionnaires (p < 0.05). The availability of a valid, reliable tool for the measurement of expected and received knowledge in caregivers of people with dementia allows an approach based on the real needs of the family and the patient. It is important to design care protocols for people with dementia that are adapted to their needs and expectations and to their non-curative treatment, to improve the emotional well-being of patients and informal caregivers.
Genome-wide exploration of sugar transporter (sweet) family proteins in Fabaceae for Sustainable protein and carbon source

Sugar transporter proteins (STPs) are membrane proteins required for sugar transport throughout cellular membranes. They plays an imperative role in sugar transmission across the plant and determinants of crop yield. However, the analysis of these important STPs Sugars Will Eventually be Exported Transporters (SWEET) family in legumes is still not well-documented and remains unclear. Therefore, the in-silico analysis of STPs has been performed to unravel their cellular, molecular, and structural composition in legume species. This study conducted a systematic search for STPs in Cajanus cajan using the Blastp algorithm to understand its molecular basis. Here, we performed a comprehensive analysis of 155 identified SWEET proteins across 12 legumes species, namely (Cajanus cajan, Glycine max, Vigna radiate, Vigna angularis, Medicago truncatula, Lupinus angustifolius, Glycine soja, Spatholobus suberectus, Cicer arietinum, Arachis ipaensis, Arachis hypogaea, Arachis duranensis). The amino acid composition and motif analysis revealed that SWEET proteins are rich in essential amino acids such as leucine, valine, isoleucine, phenylalanine, and serine while less profuse in glutamine, tryptophan, cysteine, and histidine. A total of four main conserved motifs of SWEET proteins are also highly abundant in these amino acids. The present study deciphered the details on primary physicochemical properties, secondary, tertiary structure, and phylogenetic analysis of SWEETs protein. Majorities of SWEET proteins (72.26%) are in stable form with an average instability index of 36.5%, and it comprises a higher fraction of positively charged amino acid Arg + Lys residues. Secondary structure analysis shown that these proteins are richer in alpha-helix (40%) than extended strand (30%) and random coil (25%), respectively. Furthermore, to infer their mechanism at a structural and functional level which play an essential roles in growth, development, and stress responses. This study will be useful to examine photosynthetic productivity, embryo sugar content, seed quality, and yield enhancement in Fabaceae for a sustainable source of essential amino acids and carbon source.