Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep residual network for enhanced fault diagnosis of rotating machinery

Deep residual network (DRN) is a recently-developed powerful algorithm in the deep learning filed. This paper introduces the superiority of DRN into the fault diagnosis of rotating machinery for simplifying traditional diagnosing process as well as enhancing predicting performance. DRN can not only extract features automatically from raw or processed signals but also benefit from its especially deep architecture to continually improve representation capacity without worrying gradient divergence issues. The functions of DRN result from the unique structure design called residual building block, which will be described clearly with the network overall architecture in this paper. Additionally, the comparison of the DRN with other machine learning-based and neural network-based fault diagnosis methods are presented.
Teaching Note—Considering Competencies for Social Work Practice and Research With Transgender and Gender Diverse Individuals

ABSTRACT This article presents current research on clinical practice with transgender and gender diverse (TGD) persons and introduces clinical social work educators and researchers with TGD-specific counseling competencies from the World Professional Association for Transgender Health (WPATH) and the Association for Lesbian, Gay, Bisexual, and Transgender Issues in Counseling (ALGBTIC). The article will align these practice competencies with existing social work education competencies and policies to advance clinical social work education and research on best practice with TGD individuals. To demonstrate how the WPATH and ALGBTIC competencies can be used to create teaching modules, there are four class activities offered for possible use. Finally, a critical review of the limitations of the WPATH and ALGBTIC competencies is presented, suggesting a need to adapt or develop “social work-specific” competencies for use in clinical practice education and research with TGD individuals.
Understanding Tourists’ Experiences at Local Markets in Phuket: An Analysis of TripAdvisor Reviews

ABSTRACT This research sets out to explore the tourists’ experiences at local markets in Phuket by analyzing the online reviews from TripAdvisor. This research adopts a novel method by combining the KNIME Analytics Platform with the Naïve Bayes algorithm to undertake the sentiment analysis of 2,934 reviews from seven local markets in Phuket. According to the frequency, salience, and valence, this research has identified five positive and five negative terms to provide a comprehensive understanding of tourists’ experiences at these local markets. Moreover, this research also provides a nuanced understanding of their experiences by highlighting the deviation for those positive terms that have negative valence at certain individual market(s) and vice versa. The findings of this research provide significant practical implications for tourism practitioners and local stakeholders.
MultiDefectNet: Multi-Class Defect Detection of Building Façade Based on Deep Convolutional Neural Network

Defects in residential building facades affect the structural integrity of buildings and degrade external appearances. Defects in a building facade are typically managed using manpower during maintenance. This approach is time-consuming, yields subjective results, and can lead to accidents or casualties. To address this, we propose a building facade monitoring system that utilizes an object detection method based on deep learning to efficiently manage defects by minimizing the involvement of manpower. The dataset used for training a deep-learning-based network contains actual residential building facade images. Various building designs in these raw images make it difficult to detect defects because of their various types and complex backgrounds. We employed the faster regions with convolutional neural network (Faster R-CNN) structure for more accurate defect detection in such environments, achieving an average precision (intersection over union (IoU) = 0.5) of 62.7% for all types of trained defects. As it is difficult to detect defects in a training environment, it is necessary to improve the performance of the network. However, the object detection network employed in this study yields an excellent performance in complex real-world images, indicating the possibility of developing a system that would detect defects in more types of building facades.
Multi-model probabilistic analysis of the lifecycle cost of buildings

ABSTRACT Estimates of the environmental impacts of constructing and operating buildings are critical for improving the sustainability of construction. To identify the best design, a holistic approach is necessary, considering emissions, energy use, direct costs, potential earthquake costs, etc. Accordingly, this paper addresses a multitude of lifecycle impacts associated with the manufacturing, construction, operations, damage, and demolition of buildings. All impacts are translated into a common utility, measured in dollars. A collection of cost models is developed, and detailed building models are created from BIM, i.e., building information modelling. A comprehensive analysis is conducted for a six-story building. Results show that the steel material option results in the lowest construction cost. The wood option results in the lowest cost of emissions, while the concrete option contributes the most to climate change. Earthquake damage accounts for about 3% of the total expected cost, but the worst-case earthquake cost exceeds the building value.
Subjective social status and health-related quality of life-A cross-lagged panel analysis.

Objective: Subjective social status (SSS) refers to individuals' perceived position in the social hierarchy. Prior research suggests that SSS relates to health above and beyond objective socioeconomic status (OSS) such as income, occupation, or education. Most findings in this field, however, stem from cross-sectional studies or longitudinal studies with one-time measurements of SSS only. The aim of this study was to examine reciprocal longitudinal associations of both national SSS (i.e., comparison with people in one's country) and local SSS (i.e., comparison with people in one's social environment) with health-related quality of life. Method: A two-wave cross-lagged panel design with a 2-year follow-up was used to analyze data for national SSS, local SSS, physical and mental health-related quality of life (PHQL and MHQL), as well as OSS from initially 2,156 individuals who participated in the German Socioeconomic Panel Study-Innovation Sample (SOEP-IS). Results: Local and national SSS at baseline predicted PHQL at follow up and partially mediated associations between OSS and PHQL. Local SSS (but not national SSS) also predicted MHQL at follow-up but this association was only marginally significant after inclusion of OSS in the model. Regarding a reverse health-to-SSS pathway, PHQL (but not MHQL) at baseline predicted local and national SSS at follow-up and these associations were partially mediated by income. Conclusion: This study extends cross-sectional observations by confirming that both local and national SSS have unique longitudinal associations with health and provides novel insights into longitudinal pathways linking SSS, OSS, and health. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
A Study on the Action of Ozone and on the Thermal Stability of Nanodiamond

Abstract Ultradisperse detonation diamond (UDD), a nanodiamond having particle size around 4 nm has been treated with ozone in an aqueous slurry. The reaction kinetics appeared to be relatively slow and long ozonation times were needed in order to functionalize the surface of a special nanodiamond sample with a very low degree of oxidation and foreign groups. The resulting ozonated nanodiamond has been studied by FT‐IR and electronic spectroscopy. It has been shown that the ozonation of cyclohexane and adamantane can be taken as a model reaction for the ozonation of diamond. Together with ketonic groups of various nature formed on the surface of nanodiamond, the ozonation leads also to the formation of simple molecules like for instance HCOOH and HCHO which remain in the water solution and which have been detected by HPLC analysis using a diode‐array detector. The thermal stability of the nanodiamond sample has been studied by thermogravimetric analysis (TGA‐DTG) combined with differential thermal analysis (DTA) both under inert atmosphere and in air flow. The studies on thermal stability have been conducted in comparison to a sample of bulk diamond. It appears that the behavior of nanodiamond is completely different than the bulk diamond sample. For instance, under inert atmosphere and at 900°C the weight loss undergone by the nanodiamond is 11.5% while it is negligible in the case of bulk diamond under the same conditions. Similarly, in air flow the nanodiamond burns abruptly above 450°C while bulk diamond starts to burn only above 850°C. These differences have been explained in terms of different particle size and surface functionalization.
Metabolic alterations and vulnerabilities in hepatocellular carcinoma

Abstract Liver cancer is a serious disease. It is ranked as the cancer with the second highest number of cancer-related deaths worldwide. Hepatocellular carcinoma (HCC), which arises from transformed hepatocytes, is the major subtype of liver cancer. It accounts for 85% of total liver-cancer cases. An important aspect of HCC that has been actively studied is its metabolism. With the liver as the primary site of numerous metabolic processes in the body, it has been shown that the metabolism of HCC cells is highly dysregulated compared to that of normal hepatocytes. It is therefore crucial to understand the metabolic alterations caused by HCC and the underlying mechanisms for these alterations. This deeper understanding will allow diagnostic and therapeutic advancements in the treatment of HCC. In this review, we will summarize the current literature in HCC metabolic alterations, induced vulnerabilities, and potential therapeutic interventions.
Synthesis of DNA with Spirobenzopyranas an Internal Covalent Modification

The photochromic spirobenzopyran was incorporated as an internalmodification into oligonucleotides by two different synthetic strategies:For the first route the spiropyran phosphoramidite was synthesizedas a DNA building block, whereas for the second route the postsynthetic ‘click’-typeligation was applied. Photo-induced ring opening of thechromophore could not be achieved in duplex DNA.
Determination of Nutritive Values of Garden Cress ( Lepidium sativum L.) Leaves

The focus of this study was to investigate the nutritional values of Lepidium sativum leaves, a vegetable commonly consumed by the people of North-Western Nigeria. Sample of L. sativum leaves were collected from different farm lands at More town, Kware Local Government Area of Sokoto State. The leaves were dried then subjected to proximate, amino acids, minerals and antinutritional analyses. The results of proximate analysis indicate that the leaves had high crude protein (18.25%), crude fibre (9.31%) and ash (15.38%). The minera ls assay showed that the leaves are particularly high in potassium (1850.00 mg/100g), calcium (829.13 mg/100g), magnesium (160.60 mg/100g), sodium (141.13 mg/100g) and iron (63.47 mg/100g) with low level of phosphorus (4.10 mg/100g), manganese (5.74 mg/100g), copper (0.39 mg/100g) and chromium (0.36 mg/100g). The amino acid profile revealed that the leaf protein is generally low in lysine, sulphur containing amino acids (methionine and cystein), and threonine. Lysine was the most limiting amino acid in the leaves. In terms of antinutritional factors, the leaves had low concentrations of phytate (10.95 mg/100g), nitrate (0.05 mg/100g) and HCN (31.54mg/100g) with moderate amount of oxalate (337.50 mg/100g). Based on these nutrient contents, the leafy vegetable will have potential benefits as part of feeding programmes, as well as their promotion as part of composite die. Key words: Lepidium sativum , proximate analysis, amino acid, minerals, and antinutrients.
Prognostic Role of Polyvascular Involvement in Patients with Symptomatic Peripheral Artery Disease

Background: Statin therapy is recommended for patients with peripheral artery disease (PAD). However, PAD patients with polyvascular (PV) extent remain threatened by an increased residual cardiovascular (CV) risk. Purpose: To investigate the association of prescribed statin therapy and mortality in PAD patients with or without PV extent. Methods: A single-center retrospective longitudinal observational study originating from a consecutive registry with 1380 symptomatic PAD patients over a mean observational time of 60 ± 32 months. The association of atherosclerotic extent and statin use (PAD, plus one additional region (CAD or CeVD, [+1 V]), +2 vascular regions (+CAD and CeVD [+2 V]) with the risk of all-cause mortality was evaluated using Cox proportional hazard models adjusted for potential confounding factors. Results: The mean age of the study’s participants was 72.0 ± 11.7 years, with 36% being female. PAD patients with PV extent [+1 V] and [+2 V] were older and suffered from diabetes, hypertension, or dyslipidemia more often; they, too, had more severely impaired kidney function (all p < 0.0001) compared to patients with PAD only. PAD patients with PV [+1 V] and [+2 V] received better statin medication and reached the recommended LDL-C target compared to PAD-only patients (p < 0.001). Despite better statin treatment, the rate of all-cause mortality was higher in PV patients than in PAD-only patients (PAD only: 13%; [+1 V]: 22%; [+2 V]: 35%; p < 0.0001). Conclusion: PV patients receive better statin therapy than PAD-only patients but nevertheless still have higher mortality rates. Future studies are needed to explore whether more aggressive LDL-lowering treatment for PAD patients may be translated into better prognosis.
Conditions for ultrashort pulse decomposition in multi-cascade protection devices based on meander microstrip lines

The research presents universal conditions which allow the complete splitting of a dangerous pulse (DP) in a meander microstrip line (MMSL) of any number of cascades. The verification of the conditions was performed on the example of an MMSL of two, three, four and five cascades. Attenuation (times) of a DP in the MMSL of three turns was 8.1, of four turns – 19.9 and of five turns – 33.16.
Reflectance stability analysis of Spectralon diffuse calibration panels

The Multi-angle Imaging SpectroRadiometer (MISR) plans to use deployable diffuse reflectance panels to provide periodic radiometric calibrations of its nine cameras while in-flight. Near-Lambertian reflectance characteristics are desirable to facilitate flat-field camera intercomparisons. Also required is panel spatial and spectral uniformity, and stability with time. Spectralon, a commercially available polytetrafluoroethylene (PTFE) compound, has been baselined in the MISR design. To assess the suitability of this material, a series of degradation tests were planned and implemented. These included UV vacuum exposure and proton bombardment tests which simulated the exposure levels to be encountered during the mission life. Proton levels are now considered too low to be of concern, but UV vacuum tests demonstrate sensitivity to material contamination. Material investigations have concluded that hydrocarbons are present in the bulk of the material, and that plastic packaging materials can introduce additional surface-layer contamination. It is found however, that these unwanted elements can be eliminated through vacuum pumping at elevated temperatures. Exposure to a UV source, while in vacuum, is again planned for a set of targets which have been vacuum baked. This will assess the stability of the pure PTFE form.
Training general practitioners in the ABC versus 5As method of delivering stop-smoking advice: a pragmatic, two-arm cluster randomised controlled trial

This study assessed the effectiveness of a 3.5-h training session for general practitioners (GPs) in providing brief stop-smoking advice and compared two methods of giving advice – ABC versus 5As – on the rates of delivery of such advice and of recommendations of evidence-based smoking cessation treatment during routine consultations. A pragmatic, two-arm cluster randomised controlled trial was carried out including a pre-/post-design for the analyses of the primary outcome in 52 GP practices in Germany. Practices were randomised (1:1) to receive a 3.5-h training session (ABC or 5As). In total, 1937 tobacco-smoking patients, who consulted trained GPs in these practices in the 6 weeks prior to or following the training, were included. The primary outcome was patient-reported rates of GP-delivered stop-smoking advice prior to and following the training, irrespective of the training method. Secondary outcomes were patient-reported receipt of recommendation/prescription of behavioural therapy, pharmacotherapy or combination therapy for smoking cessation, and the effectiveness of ABC versus 5As regarding all outcomes. GP-delivered stop-smoking advice increased from 13.1% (n=136 out of 1039) to 33.1% (n=297 out of 898) following the training (adjusted odds ratio (aOR) 3.25, 95% CI 2.34–4.51). Recommendation/prescription rates of evidence-based treatments were low (<2%) pre-training, but had all increased after training (e.g. behavioural support: aOR 7.15, 95% CI 4.02–12.74). Delivery of stop-smoking advice increased non-significantly (p=0.08) stronger in the ABC versus 5As group (aOR 1.71, 95% CI 0.94–3.12). A single training session in stop-smoking advice was associated with a three-fold increase in rates of advice giving and a seven-fold increase in offer of support. The ABC method may lead to higher rates of GP-delivered advice during routine consultations. A brief, single training session is effective in changing GP behaviour for providing stop-smoking advice and evidence-based cessation treatment. Training according to the very brief ABC method may lead to higher rates of such GP-delivered advice. https://bit.ly/2TciPSO
Beautiful mind: grouping of actions into mental schemes leads to a full insight Aha! experience

ABSTRACT This paper explores the potential connection between solution, elegance and Aha! experience in insight problem-solving. We assume that the basic principle of both Aha! experience and elegance evaluations is a scheme encoding of solution. The compactness of the successful scheme determines the subjective aesthetic judgment of solution elegance and beauty. To investigate this claim, we used the ten-penny insight problem that has two types of solutions. The first is a schema type which can be portrayed as a simple shape (a star). The second is an asymmetric type described by a system of rules and restrictions. Two experiments were conducted in which participants were asked to find both solution types and evaluate each of them using Aha! experience scales with additional elegance scale. Both experiments indicated that the scheme type solution was rated as more insightful, elegant and sudden compared to the asymmetric type.
Inhibition of the Corrosion of Zinc in 0.01 - 0.04 M H2SO4 by Erythromycin

Inhibition of the corrosion of zinc in 0.01 to 0.0 4 M H2SO4 by erythromycin was studied using weight loss and hydrogen evolution methods. The results obtained indicate that erythromycin is a good adsorption inhibitor for the corrosion of zinc in H2SO4 solutions. The inhibition efficiency of erythromycin increases with increasing concentration but decreases with increase in temperature. Thermodynamic and adsorption studies reveal that the adsorption of erythromycin on zinc surface is exothermic, spontaneous and is characterised with increasing degree of orderliness. The adsorption characteristics of the inhibitor are best described by the Langmuir adsorption model. From the variation of inhibition efficiency with temperature and the calculated values of the activation and free energies (which are within the limits expected for physical adsorption), we propose that the adsorption of erythromycin on zinc surface is consistent with the mechanism of physical adsorption.
Face Recognition and Emotion Recognition from Facial Expression Using Deep Learning Neural Network

Face recognition, emotion recognition represent the important bases for the human machine interaction. To recognize the person’s emotion and face, different algorithms are developed and tested. In this paper, an enhancement face and emotion recognition algorithm is implemented based on deep learning neural networks. Universal database and personal image had been used to test the proposed algorithm. Python language programming had been used to implement the proposed algorithm.
Investigation of Nitrogen and Phosphate Effect on Growth and Rosmarinic Acid Production in Transgenic Mentha aquatica Hairy Root Induction

Mentha aquatica as an important medicinal plant is known for its phenolic acids with pharmaceutical properties, especially rosmarinic acid. In order to obtain high amounts of secondary metabolites, the establishment of hairy root cultures through Agrobacterium rhizogenes infection is considered as a suitable alternative. In order to compare the abilities of A. rhizogenes strains to induce hairy roots, the leaf and shoot explants of M. aquatica were used for hairy root induction by five different bacterial strains (ATCC 15834, A13, R318, A4, 9534). Furthermore, the effect of phosphate, nitrogen, and reducing environmental acidity on growth and rosmarinic acid content of hairy roots were studied. The results indicated that the percentage of rooting in stem explants (50%) was higher than the leaves (42.6%). Among the bacterial strains, the strain A4 showed the highest rooting efficiency. It was also demonstrated that phosphate deficiency and increased phosphate levels significantly increased the rosmarinic acid content of hairy roots. Various effects on hairy root biomass were observed in response to different phosphate levels. However, increasing the amount of nitrogen did not affect the studied factors. It was concluded that different types of explants have different potentials of hairy root formation in interaction with bacterial strains.
High humidity air-impingement blanching (HHAIB) improves drying characteristics and quality of ground-cover chrysanthemum heads

Abstract Effects of high humidity air-impingement blanching (HHAIB) temperature, relative humidity over a range of application time and drying temperature on air-impingement drying kinetics, colour attributes, browning index, blanching weight loss and total flavonoids content of chrysanthemum heads were studied. HHAIB could shorten the drying time of chrysanthemum heads significantly (p < 0.05) by up to 52% compared to the control group without blanching. Meanwhile blanching humidity has a greater influence on drying kinetic than other blanching parameters. D eff values of samples declined first and rose later with the growth of blanching humidity, while increased continuously with the growth of blanching temperature. The highest growth of total flavonoids content can be up to 21.6% under the HHAIB blanching conditions (110 °C of blanching temperature, 45% of relative humidity, 150 s of blanching time) in comparison with the control group. Lightness of all blanched samples was lower than the control group, and redness and total colour difference under different blanching conditions showed significant differences compared to the control group, while no obvious variation was observed in terms of yellowness values.