Miracle-dz/UniFAR-FTUs huggingface dataset:
Surface defect detection and classification of Si3N4 turbine blades based on convolutional neural network and YOLOv5

Due to the influence of mechanical vibration, high temperature creep and other factors, Si3N4 turbine blades are prone to surface defects. Besides, traditional algorithms are incapable to detect and classify surface defects simultaneously. Aiming at solving these problems, an algorithm for defect detection and classification of Si3N4 turbine blades based on convolutional neural network is proposed. The detection and classification network of this algorithm is optimized based on YOLOv5 network, the PAN structure and FPN structure of YOLOv5 are replaced by BiFPN structure. We establish the dataset of Si3N4 turbine blades, which is expanded by data enhancement. For the purpose of achieving a higher level of feature fusion, the PAN and FPN structures of the Neck part are replaced by BiFPN structure. As a result, the accuracy of detecting and classifying the surface defects by this algorithm is as high as 97.4%, and the detection speed is as low as 16ms. This optimized algorithm is able to solve the problems of traditional detection methods such as heavy workload, long time consuming and low accuracy. The algorithm provides a feasible approach for the quality detection of Si3N4 turbine blades and has certain engineering application value.
Calibration of the BMP280 and ESP-12S Based Wireless Atmospheric Pressure Measure Equipment Using a Pressure Chamber

In order to study and practice the method of meteorological atmospheric pressure gauge calibration, the design, assembly and calibration of an experimental wireless atmospheric pressure gauge based on the BMP280 digital pressure sensor and the System on Chip ESP-12S has been carried out. Using the Vaisalla PTB330 digital barometer secondary pressure standard, the instrument is calibrated in the pressure chamber in the pressure range 850-1050 hPa with a maximum tolerance limit of ± 0.15 hPa at a 95% confidence level. Based on the test results of the correction parameters and U95, it shows that the reliability of the sensor interface system and the internal correction application method used in the calibration process provide calibration results that meet the requirements of the WMO standard. The precision test on repeatability conditions based on ISO5725: 1994 is also used as a measure of tool precision. Through this calibration report, the performance and accuracy of the BMP280 sensor in relation to measurements on meteorological objects, especially atmospheric pressure can be known and studied further.
Cytotoxic Effect of Lippia nodiflora Leaf Extract against the Prostate Cancer Cell Line

Prostate cancer is the second most common cause of cancer deaths for men. Lippia. Nodiflora (L. nodiflora) has been used as a natural remedy for various diseases, because of its antioxidant, anti-inflammatory, anti-bacterial, and anti-tumor effect. This study was to investigate the cytotoxic effect of L. nodiflora ethanolic leaf extract in prostate cancer cell lines (PC-3). The growth inhibitory effect of L. nodiflora ethanolic leaf extract was assessed by MTT assay. The cell morphological changes in L. nodiflora leaf extract-treated cells were observed using an inverted phase-contrast microscope. Apoptosis induction by L. nodiflora was determined by AO/EtBr (acridine orange and ethidium bromide) dual staining. MTT test results showed dose-dependent cell growth inhibition in PC-3 cells treated with L. nodiflora leaf extract (10-120 µg/mL). The IC-50 dose was observed at 40µg/ml. Morphological changes such as reduction in the number of cells, cell shrinkage, and cytoplasmic membrane blebbing were observed in the treated cells. Induction of apoptosis by L. nodiflora (40µg/ml) treated cells showed an increased number of early apoptotic and late apoptotic cells. The above data indicate that L. nodiflora inhibits cell proliferation and induces apoptosis in prostate cancer cells. Therefore, it can be concluded that L. nodiflora exhibits anti-cancer activity, and thus it raises new hope for its use in anti-cancer therapy.
Adaptive finite-time command-filtered backstepping sliding mode control for stabilization of a disturbed rotary-inverted-pendulum with experimental validation

In this paper, the finite-time stabilization of the disturbed and uncertain rotary-inverted-pendulum system is studied based on the adaptive backstepping sliding mode control procedure. For this purpose, first of all, the dynamical equation of the rotary-inverted-pendulum system is obtained in the state-space form in the existence of external disturbances and model uncertainties with unknown bound. Afterward, a novel command filter is defined to enhance the control strategy by consideration of a virtual control input. Therefore, the differential signal is replaced by the output of the command filter to reduce the complicated computing in the control process. Hence, the finite-time convergence of the sliding surface to the origin is attested by using the backstepping sliding mode control scheme according to the Lyapunov theory. Besides, the unknown upper bound of the exterior perturbation and uncertainty is approximated providing the adaptive control technique. Finally, simulations and experimental results are done to demonstrate the impression and proficiency of the suggested method.
Effects of water‐deficit stress and putrescine on performances, photosynthetic gas exchange, and chlorophyll fluorescence parameters of Salvia officinalis in two cutting times

Abstract A 2‐year (2017–2018) field experiment was performed to specify if the foliar application of putrescine (PUT) under optimum and water‐deficit stress (WDS) conditions would favorably affect leaf gas exchange, greenness, chlorophyll fluorescence parameters, pigments, sodium (Na), potassium (K), as well as yield and content of the essential oil (EO) relationships in Salvia officinalis L. (sage) in spring (cutting 1) and summer (cutting 2). Based on the results analysis of variance, the effects of WDS, PUT, and cutting time were significant for the dry weight, leaf area index (LAI), EO content, EO yield, chlorophyll (Chl) t, carotenoid, Na, and K of sage. According to regression results, the response of EO content, EO yield, non‐photochemical quenching (NPQ), spad, Chl a, Chl t, K, and K/Na to WDS can be expressed by a quadratic model, indicating that they would attain their maximum in 75.5%, 34.86%, 38.33%, 84.13% 60%, 70%, 50.40%, and 40.28% available soil water depletion (ASWD), respectively. The response of dry weight, LAI, EO content, EO yield, Fv/Fm, spad, ΦpsII, Chl a, Chl b, Chl t, carotenoid, K, and K/Na to PUT can be expressed by a quadratic model, showing that they would attain their most under 0.98, 1.14, 1.34, 1.16, 1.27, 1.18, 1.17, 1.25, 1.17, 1.27, 1.31, 1.21, and 1.19 mM of PUT, respectively. These findings suggest that, probably, the functions and structures of the photosynthetic system were further enhanced with PUT, thereby they can be promoting primary electron transfer in PSII. Also, stomatal and photosynthetic activity improved with increasing K levels with PUT.
Transcriptomic Mapping of Human Parotid Gland at Single-Cell Resolution

As the largest salivary gland in oral cavity, the parotid gland plays an important role in initial digesting and lubricating food. The abnormal secretory function of the parotid gland can lead to dental caries and oral mucosal inflammation. In recent years, single-cell RNA sequencing (scRNA-seq) has been used to explore the heterogeneity and diversity of cells in various organs and tissues. However, the transcription profile of the human parotid gland at single-cell resolution has not been reported yet. In this study, we constructed the cell atlas of human parotid gland using the 10× Genomics platform. Characteristic gene analysis identified the biological functions of serous acinar cell populations in secreting digestive enzymes and antibacterial proteins. We revealed the specificity and similarity of the parotid gland compared to other digestive glands through comparative analyses of other published scRNA-seq data sets. We also identified the cell-specific expression of hub genes for Sjögren syndrome in the human parotid gland by integrating the results of genome-wide association studies and bulk RNA-seq, which highlighted the importance of immune cell dysfunction in parotid Sjögren syndrome pathogenesis.
Acoustic radiation modelling of aeroengine intake comparison between analytical and numerical methods

Significant reduction of engine noise by nacelle acoustic treatment requires accurate numerical modelling of engine nacelle ducts. The present study consists in the validation of gradually complex and realistic approaches, able to account for scattering and flow effects. First, the analytical method, based on the modal theory and the Wiener-Hopf's technique, is considered here as a reference for the comparisons. A 3D variational integral approach is presented in the second part. Several comparisons and parametric studies show good agreements in canonical case at low frequencies, in the presence of uniform flow or acoustic liners. The main observable differences caused by the inlet lip thickness are highlighted and analysed. Finally, both analytical and integral approaches seem to be consistent and allow us to develop more complicated methods like FEM or Ray-tracing to improve the predictions.
DETECTION OF CASH FLOW FROM OPERATION MANAGEMENT USING CLASSIFICATION AND TIMING

This study aims to examine whether management is proven to have cash flow from operation management (CFO management) using classification and timing in companies listed on the Indonesia Stock Exchange in 2017. The research method used is explanatory research, and the method of determining the sample used is the judgment sampling method. Testing the research hypothesis using the multiple regression analysis using eviews versin 6.0. The result from this study is no indication of CFO management using classification and timing. Key words: cash flow from operation management, classification, timing
The Effectiveness of Screening Techniques for Revealing Cracks in High Volumetric Efficiency MLCCs

Multilayer ceramic capacitors (MLCCs) constitute the majority of components used in electronic assemblies and most of their failures are related to cracks. It is often assumed that dissipation factor (DF), insulation resistance (IR), and breakdown voltage (VBR) are characteristics that are sensitive to the presence of mechanical defects, and screening of capacitors by measurements of these characteristics, and by dielectric withstanding voltage (DWV) testing assures high quality products. This work analyzes the effectiveness of these screening techniques for revealing cracks in high-volumetric efficiency, low-voltage ceramic capacitors. Various types of class II dielectric capacitors with rated voltages from 6.3 V to 100 V, and capacitances from 0.1 μF to 100 μF from different manufactures were used in this study. Fractures in the parts were introduced mechanically and by thermal shock stress. It has been shown that cracking results in relatively minor variations of capacitance and DF. Absorption currents.
General Design of Compact T-shaped Line Filter with Ultra-wide Stopband

In this paper, the series quarter-wavelength line in conventional fllters are replaced by open-stub T-shaped lines, resulting to ultra-wide stop band. Generalization of this compact open-stub T-shaped transmission structure is presented. Filters with this structure have ultra stopband as well as a smooth passband and a steep transition band. The design equations for generating the parameters of the T-shaped lines are derived. Furthermore, this structure can also reduce the size of conventional fllter. A hairpin bandpass fllter with center frequency at 2.5GHz is designed with the proposed structure. The simulation show good characteristics. Its 35dB stopband reaches 10.6GHz. The results show that the strong restriction band can be as high as the fourth order harmonic frequency with compact layout and good passband.
Towards the adoption of inclusive strategies for a non-sighted undergraduate student in an efl classroom: a case study

Estudio de caso sobre el uso de diferentes estrategias tecnologicas y socio-afectivas para potenciar el aprendizaje de un estudiante invidente en clases de ingles como lengua extranjera en una universidad mexicana. The main objective of this case-study was to understand which inclusive strategies— technological and/or socio-affective—tend to render a positive influence in the learning process of a non-sighted undergraduate student enrolled in an English as a foreign language programme in a Mexican private university. The inquiry focuses on one of the eight courses that constitute the programme. Vygotsky’s views and their effects in inclusive education founded the decisions taken regarding the implementations made to promote an inclusive environment that may lead the non-sighted learner (NSL) to a successful achievement of the course aims. On the one hand, adjustments within the technological area incorporated the use of assistive technology, optimizing the use of JAWS—written-to-audio texttranslator—inside and outside the classroom. On the other hand, adaptations within the socio-affective field included the encouragement of mediation practices, the incorporation of collaborative activities and the support of the NSL’s strengths. Data was gathered from different stakeholders, which included the NSL himself, his former and intervention-group teachers and peers, as well as external observers. Video-recordings, interviews, and questionnaires were the means used to attain the data. Two main conclusions may be drawn from the results obtained; first, that the mediation and collaborative practices incorporated during the study promoted positive attitudes on the class as a whole and especially on the target student, strengthening his self-esteem and, therefore, making his learning efforts more successful; second, that supplying the NSL with information in advance and optimizing his use of technological resources, provided him with egalitarian learning and performing conditions throughout the course. This paper also aims to highlight the need for further work regarding adaptations of textbooks and tests to make them more accessible to NSLs. Finally, some conclusions and recommendations are presented in hope that they inform teachers with non-sighted learners in their EFL classrooms.
Status of Livelihood Capitals of Dalit

Dalits of Nepal are denying from their good livelihood, educational opportunities, social inclusion and political presence. Furthermore, they are suffering from the discrimination from all aspects like social, cultural, political, educational, health and religions. Such discrimination and disadvantage lead to the livelihood insecurity of the Dalits and harm their constitutional rights as, “All citizens shall be equal before law. No person shall be denied the equal protection of law”. In this context, this paper is based on a survey research design and 390 respondents were selected by stratified random sampling method. Study was conducted on Kusma Municipality of Parbat district of Nepal. The status of composite livelihood capital is below than 50% and some variables of physical, human and financial capitals are equally with national average but other capitals; social, natural capitals are very few. So, because of low capabilities and not favorable structure and institutions leading the livelihood insecurity of the Dalit community and which become the major challenge of development agenda.
Effect of Customer Relationship Management (CRM) on Customer Satisfaction

In a highly competitive market, companies need to maintain a positive relationship with their customer. A good CRM (customer relationship management) program that helps the company in satisfying the customer, the research study would explore different methods and techniques for establishing effective CRM to satisfy the customers. The purpose of the study was to check the effectiveness of customer relationship management (CRM) in retaining and satisfying customers regarding Chai Point, India. This study shows that customer relationship management has a significant effect on customer satisfaction and both variables have positive relationships. The company makes its CRM as strong and reliable the customer will be more satisfied and retain with the company. The study concluded that CRM is playing a major role in increasing the market share, it enhances productivity, superior employee’s morale in the meanwhile it improves the in-depth customer knowledge and also higher customer satisfaction to improved customer loyalty company will also have the clear information that what are their customers, what are their needs, and what will make them more satisfied.
The COVID-19 Impact on Corporate Leverage and Financial Fragility, WP/21/265, November 2021

We study the impact of the COVID-19 recession on capital structure of publicly listed U.S. firms. Our estimates suggest leverage (Net Debt/Asset) decreased by 5.3 percentage points from the pre-shock mean of 19.6 percent, while debt maturity increased moderately. This de-leveraging effect is stronger for firms exposed to significant rollover risk, while firms whose businesses were most vulnerable to social distancing did not reduce leverage. We rationalize our evidence through a structural model of firm value that shows lower expected growth rate and higher volatility of cash flows following COVID-19 reduced optimal levels of corporate leverage. Model-implied optimal leverage indicates firms which did not de-lever became over-leveraged. We find default probability deteriorates most in large, over-leveraged firms and those that were stressed pre-COVID. Additional stress tests predict value of these firms will be less than one standard deviation away from default if cash flows decline by 20 percent. ISBN 978-1-51358-###-# (Paper) 978-1-51358-###-# (ePub) 978-1-51358-###-# (PDF) JEL Classification Numbers:
Hydrogen Peroxide Imbibition Following Cold Stratification Promotes Seed Germination Rate and Uniformity in Peach cv. GF305

(1) Background: Peach cv. GF305 is commonly used in breeding programs due to its susceptibility to numerous viruses. In this study, we aimed to achieve a methodology for rapid and uniform seed germination of peach cv. GF305 in order to obtain vigorous seedlings; (2) Methods: A combination of cold stratification and H2O2 imbibition was tested on peach seeds with or without endocarp. In addition, the levels of non-enzymatic antioxidants ascorbate and glutathione as well as the hormone profile in seedling roots and shoots were determined; (3) Results: We found that H2O2 imbibition of peach seeds without endocarp after 8 weeks of stratification increased germination rate and resulted in seedlings displaying good vegetative growth. The H2O2 imbibition also affected the levels of ascorbate, glutathione, and the phytohormones abscisic acid and jasmonic acid in peach seedlings; (4) Conclusions: Although stratification periods of 12 weeks have been previously established as being appropriate for this cultivar, we have been able to reduce this stratification time by up to 4 weeks, which may have practical implication in peach nurseries.
The goal of psychological intervention and performed functions of psychologists as an aspect of the professional identity of psychologists: Latvian sample

Professional identity is formed by combination of several aspects, including professional practice, which for psychologists relates to psychological intervention and performed functions. The exclusive goal of psychological intervention and exclusively performed functions of psychologists are an important research subjects because more and more practicing professionals are performing activities linked to psychological intervention. The purpose of this paper was to investigate the exclusive goal of psychological intervention and exclusively performed functions of Latvian psychologists. Data was collected through an online survey developed in the framework of the international project “The Identity of Psychology” [1]. Three open-answer questions were used. Sample consisted of 54 Latvian psychologists of which 91% were women (n = 49) and 9 % were men (n = 5) aged from 25 to 60 years (M = 44.94; SD = 8.98). Data was analysed using thematic categorical content analysis. Findings indicate clear diversity in the opinion about the professional practice among Latvian psychologists. The results of this study indicate limited agreement and comprehension of Latvian psychologists about their professional practice which leads to necessity for further research to investigate the causes of such outcome to determine solutions on how to strengthen their professional practice and, more broadly, professional identity.
Warming Accelerates the Onset of the Molecular Stress Response and Increases Mortality of Larval Atlantic Cod

Synopsis Temperature profoundly affects ectotherm physiology. Although differential thermal responses influence fitness, thus driving population dynamics and species distributions, our understanding of the molecular architecture underlying these responses is limited, especially during the critical larval stage. Here, using RNA-sequencing of laboratory-reared Atlantic cod (Gadus morhua) larvae of wild origin, we find changes in gene expression in thousands of transcripts consistent with a severe cellular stress response at both ambient and projected (+2°C and +4°C) temperatures. In addition, specific responses to stress, heat, and hypoxia were commonly identified in gene ontology enrichment analyses and 33 of the 44 genes comprising the minimum stress proteome of all organisms were upregulated. Earlier onset of the stress response was evident at higher temperatures; concomitant increased growth and mortality suggests a reduction in fitness. Temporal differences in gene expression levels do not correspond to differences in growing degree days, suggesting negative physiological consequences of warming beyond accelerated development. Because gene expression is costly, we infer that the upregulation of thousands of transcripts in response to warming in larval cod might act as an energetic drain. We hypothesize that the energetically costly stress response, coupled with increased growth rate at warmer temperatures, leads to faster depletion of energy reserves and increased risk of mortality in larval cod. As sea surface temperatures continue to rise over the next century, reduced fitness of Atlantic cod larvae might lead to population declines in this ecologically and socioeconomically important species. Further, our findings expand our understanding of transcriptomic responses to temperature by ectothermic vertebrate larvae beyond the critical first-feeding stage, a time when organisms begin balancing the energetic demands of growth, foraging, development, and maintenance. Linking the molecular basis of a thermal response to key fitness-related traits is fundamentally important to predicting how global warming will affect ectotherms.
A HYBRID APPROACH FOR INTENSIFYING THE CLASSIFICATION ACCURACY IN HEALTHCARE DATA

: Data mining and machine learning plays an extensively crucial role in the application of medical diagnosis. Consequently, several forms of analysis are ongoing to better predict the diseases and improved the quality of diagnosis. The existing analysis suffers with high dimensionality and imbalanced class distribution problem. Due to this issue, various classification algorithms prejudge over the majority classes, while ignoring the minority classes. This leads to the misprediction while predicting some rarely possible diseases. This research paper aims to increase the classification accuracy of various classifier over healthcare data. This research proposed a hybrid approach of both Principle Component Analysis (PCA) and Synthetic Minority Oversampling Technique (SMOTE) to reduce the high dimensional imbalanced class distribution problem. Then the resultant dataset is applied to the various classifier, and compared based on the evaluation metrics.