Miracle-dz/UniFAR-FTUs huggingface dataset:
Do new energy power generation companies have better financial performance? An analysis for China’s power generation industry

ABSTRACT Fossil-fired power generation is the most significant contributor to China’s carbon emissions. New energy such as wind and solar is rapidly deploying in China and is considered an alternative to fossil energy. This paper focuses on the comparison in financial performance between fossil-fired generation and new energy generation companies. To do so, we combine the listed companies’ financial data from 2010 to 2020 with the catastrophe progression method to evaluate the financial performance of China’s power generation companies. The results indicate that although the profitability of the fossil-fired generation industry has stagnated in the past ten years, its comprehensive financial performance is still better than that of the new energy industry. The profitability of new energy companies has increased significantly in the past decade, especially the wind energy companies, whose profitability has greatly improved from 2013 to 2020. Wind power generation also has outstanding operating capacity among new energy generations.
Preferencia de microhábitat y gremios tróficos de macroinvertebrados acuáticos en ríos altoandinos, Ayacucho, Perú

Microhabitat preference and trophic guilds of aquatic macroinvertebrates in high Andean rivers, Ayacucho, Peru Studies of aquatic macroinvertebrates in high-altitude rivers in the Andes are scarce, and little is known about the trophic role that these organisms play in these ecosystems. In the present work, the microhabitat preference of the aquatic macroinvertebrate community was studied and its trophic guilds was described through the analysis of stomach contents in two high Andean rivers of Peru. Significant differences (p < 0.05) were found between abundance, richness, Pielou equity index and effective number of species between the microhabitats studied in both rivers. The highest values of wealth in both rivers were found in the medium stone microhabitat, being the most abundant and diverse the members of the Diptera order. The lowest values of richness were found in the rock microhabitat. Four food items were identified: fine particulate organic matter (MOPF), microalgae (MA), animal remains (RA) and vegetable tissue (TV), of which MOPF was the predominant one in almost all the organisms analyzed, which shows that MOPF is the main food item consumed in both rivers. Spatially, it was the detritivores and herbivores that were in great proportion in almost all the microhabitats in both high Andean rivers.
Impact of COVID-19 on Expected Return and Risks in “China Concept” Stocks Using CAPM Model: A Case Study of Alibaba and Haidilao

The COVID-19 has a great impact on the financial market, which has made the financial market more unpredictable. In order to measure the expected return and the risks of “China concept” stocks during this special period, Alibaba and Haidilao are selected as research objective in this case study. Based on CAPM model the expected return and standard deviation for the risks are measured, i.e., the effects of COVID-19 on Chinese stock market can be predicted. According to the results, a fall in the expected return was witnessed in the two firms due to the outbreak of COVID-19 with a rise in the risk of each firm. These results offer a guideline for investors to be aware of COVID-19 effects on “China Concept” stock.
Efficacy of local Bacillus thuringiensis isolates against tomato leaf miner (Tuta absoluta) larvae on tomato plants under screenhouse conditions

Abstract. The negative impact of chemical pesticides on the environment and the increased resistance of tomato leafminer (Tuta absoluta) field populations to chemical pesticides have promoted research on alternative control measures. Biological control with Bacillus thuringiensis (Bt) may be an alternative, especially against larval instars of T. absoluta. A total of five B. thuringiensis strains were isolated from soil sampled from two different Cow range lands in Zaria, Nigeria; and they were screened for the presence of the cry1 genes using polymerase chain reaction. Of the five isolates, two (40%) showed the presence of the cry1 genes. Results of the bioassay conducted against 2nd instar larvae of T. absoluta at 28±2°C indicated that each of the concentrations (25, 50, 75 and 100 ppm) of the spore crystal mixtures derived from the isolates harbouring cry1 genes caused significant mortality to larvae of T. absoluta after 72 hours in comparison to the control (0 ppm). Probit analysis was used to determine the LC50 and LT50 values. When the treatments were assessed at 48 and 72 hours, LC50 values against larvae were 74.1 and 25.3 ppm for isolate F3, while the LT50 values of that same isolate F3 at 100 ppm and 75 ppm were 36.3 and 42.7 hours, respectively. B. thuringiensis strain F2 achieved 68.7% reduction in T. absoluta damage on tomato plants, while B. thuringiensis isolate F3 achieved 71.3% reduction. Therefore, the spore crystal mixture derived from indigenous Bt strains is the candidate to be used for foliar application against T. absoluta and it is recommended into integrated pest control strategies for the management of T. absoluta.
Systole: A python package for cardiac signal synchrony and analysis

Systole is a package for cardiac signal analysis in Python. It provides an interface for recording cardiac signals via electrocardiography (ECG) or photoplethysmography (PPG), as well as both online and offline data analysis methods extracting cardiac features, synchronizing experimental stimuli with different phases of the heart, removing artefacts at different levels and generating plots for data quality check and publication. Systole is built on the top of Numpy (Harris et al., 2020), Pandas (McKinney, 2010; Pandas Development Team, 2020) and Scipy (Virtanen et al., 2020), and can use both Matplotlib (Hunter, 2007) and Bokeh (Bokeh Development Team, 2018) to generate visualisations. It is designed to build modular pipelines that can interface easily with other signal processing or heart rate variability toolboxes, with a focus on data quality checks. Several parts of the toolbox utilize Numba (Lam et al., 2015) to offer more competitive performances with classic processing algorithms.
Development of Ternary Concrete Utilizing Agricultural Waste Material

The present project proposes to utilize rice husk and maize cob husk ash in the cement to mitigate the adverse impact of cement on environment and to enhance the disposal of waste in a sustainable manner. Ternary concrete / MR concrete was prepared by using rise husk and maize cob ash with cement. For the present project, five concrete mixes MR-0 (Control mix), MR-1 (Rice husk ash 10% and MR-2.5%), MR-2 (Rice husk ash 10% and MR-5%), MR-3 (Rice husk ash 10% and MR-2.5%), MR-4 (Rice husk ash 10% and MR-2.5%) were prepared. M35 concrete mix was designed as per IS 10262:2009 for low slump values 0-25mm. The purpose is to find the optimum replacement level of cement in M35 grade ternary concrete for I – Shaped paver blocks.In order to study the effects of these additions, micro-structural and structural properties test of concretes have been conducted. The crystalline properties of control mix and modified concrete are analyzed by Fourier Transform Infrared Spectroscope (FTIR), Scanning Electron Microscopy (SEM), and X-Ray Diffraction (XRD). The results indicated that 10% Rice husk ash and 5% maize cob ash replaced with cement produce a desirable quality of ternary concrete mix having good compressive strength. The results of SEM analysis indicated that the morphology of both concrete were different, showing porous structure at 7 days age and become unsymmetrical with the addition of ashes. After 28 day age, the control mix contained more quantity of ettringite and became denser than ternary concrete. XRD analysis revealed the presence of portlandite in large quantity in controlled mix concrete while MR concrete had the partially hydrated particle of alite.
Cansancio emocional relacionado con el Estrés percibido durante el aprendizaje en modalidad E- learning en estudiantes de bachillerato.

El objetivo del presente estudio fue determinar la prevalencia del Cansancio Emocional (CE) ante el Estrés en alumnos de bachillerato . El estudio correspondió a una investigación de tipo cuantitativo, descriptivo y transversal. Se censó al total de alumnos (n= 100) de cinco grupos de 1er a 6to semestre pertenencientes a Escuelas Preparatorias de la Universidad Autónoma del Estado de Hidalgo, obteniendo un nivel de respuesta del 63% (n = 63). Se utilizaron y validaron la Escala de Cansancio Emocional (ECE) de Ramos, Magas & Morán (2005) y La Escala de Estrés Percibido (SPS) Cohen, Kamarak, y Mermelstein (1983). Como principales hallazgos se detectó una alta correlación significativa entre el estrés percibido en los ultimos meses con el cansancio emocional.
Deducing the Impact of Physical Activity, Sedentary Behavior, and Physical Performance on Cognitive Function in Healthy Older Adults

Objectives: Participating in physical activity and maintaining physical performance as well as reducing sedentary behavior are discussed to be beneficially associated with cognitive function in older adults. The purpose of this cross-sectional analysis was to differentiate the relevance of objectively measured physical activity, physical performance, and sedentary behavior on cognitive function in healthy older adults (n = 56, age = 76 ± 7 yrs, gender = 30 female). Methods: Accelerometer based physical activity and sedentary behavior were analyzed as minutes per week spent sedentary and physically active with light or moderate to vigorous intensity. Participants' physical performance was assessed via cardiopulmonary exercise testing and analyzed as maximal workload and heart rate, heart rate reserve and peak oxygen uptake. The assessment of cognitive function included working memory, attention, executive function, and verbal memory. Data was analyzed with Spearman and partial correlations. Trial registration: NCT02343029. Results: Light physical activity was moderately associated with executive function (r = −0.339, p = 0.015). Attention was significantly associated with maximal workload (r = −0.286, p = 0.042) and peak oxygen uptake (r = −0.337, p = 0.015). Working memory was associated with maximal workload (r = 0.329, p = 0.017). Conclusion: Whereas a broad range of cognitive function were beneficially linked to physical performance, light intensity activities in particular showed an impact on executive function. Our research underlines the need to separate the impact of physical performance and physical activity on cognitive function and highlights the relevance of light physical activity.
The study of one-dimensional flow analysis model of the combustor in supersonic combustion experiments

The existent one-dimensional flow analysis models for supersonic combustor were studied. The results showed that the complete solution of one-dimensional combustion flow field could only be obtained with either necessary experimental data or some empirical methods. With the improved model, the uncertainty in the process of data reduction could be reduced. The adaptability of the code could be enhanced. The calculated values of static and stagnation pressure showed good agreement with experimental data. 
The Impact of Linguistic Concordance and the Active Offer of French Language Services on Patient Satisfaction

Communication is essential to providing quality primary care. Linguistic concordance between patients and physicians has been linked to improved health outcomes and greater patient satisfaction. Although Canadian Francophones often struggle to access linguistics concordant health services, the concept of the active offer of French Language Services (FLS) has emerged as a means of ensuring the availability of such services and improving the francophone patient experience. However, the impact of language concordance and the active offer of FLS on patient satisfaction among Ontario Francophones remain largely unknown. Patient satisfaction surveys were collected as part of a continuing education program targeted at family physicians in Northeastern Ontario. Participating physicians distributed patient surveys consisting of select patient satisfaction questions from the Physicians Achievement Review (PAR) and select questions from the Active Offer of French Language Services in Minority Context Measure. Valid surveys were received from 235 patients. Just under half of these (44%) identified as Francophones, 62.6% had a French-speaking family physician; however, only 17.2% reported regularly speaking in French with their family physician. As hypothesized, there was a consistent tendency for Francophones who experience stronger linguistic concordance with their family physician to report higher satisfaction scores. Francophones who regularly speak French with their family physicians were more satisfied ( = 4.63) than those who rarely/never speak French ( = 4.29, F(1; 83) = 4.852; p < 0.05). There was also a statistically significant interaction between the patients' language of preference and the service language. Francophones who prefer French and regularly speak it with their family physician (linguistic concordance; adj= 4.82) were significantly more satisfied than those who prefer French yet rarely/never speak it (linguistic discordance; adj= 4.06, F(1; 75) = 11.950; p < 0.001). Furthermore, a positive correlation between patient satisfaction and the active offer was observed in Francophones (r = 0.49, p<0.001). The present findings provide evidence of the impact of linguistically adapted health care services on the satisfaction of Ontario Francophones and suggest that patient satisfaction may be improved through the active offer of FLS. A larger and more diverse sample is required to confirm these findings.
Theoretical Framework, Case Study and Policy Implication of Cultural Capital Prompting Regional Innovation

Under the background of a new round of scientific and technological revolution and industrial reform, the role of innovation in promoting economic and social development is becoming more and more prominent, which is the key to building regional competitive advantages. Cultural capital can have a sustained and extensive positive impact on regional innovation, which can become an important focus to promoting regional innovation. Using literature studies and case studies, this paper investigated the influence mechanism of cultural capital on regional innovation. The study shows that the cultural capital at the regional level includes the value system shared by the specific regional groups which can promote wealth creation, as well as the cultural activities and its results with utility and value in the specific region. The impact of cultural capital on regional innovation is comprehensive, involving multiple aspects such as innovation subjects, innovation network, innovation input, innovation output and innovation environment. To promote cultural capital conducive to regional innovation, efforts should be made in three aspects of cultural policy: policy objectives, contents and implementation.
A Multi-category Task for Bitrate Interval Prediction with the Target Perceptual Quality

Video service providers tend to face user network problems in the process of transmitting video streams. They strive to provide user with superior video quality in a limited bitrate environment. It is necessary to accurately determine the target bitrate range of the video under different quality requirements. Recently, several schemes have been proposed to meet this requirement. However, they do not take the impact of visual influence into account. In this paper, we propose a new multi-category model to accurately predict the target bitrate range with target visual quality by machine learning. Firstly, a dataset is constructed to generate multi-category models by machine learning. The quality score ladders and the corresponding bitrate-interval categories are defined in the dataset. Secondly, several types of spatial-temporal features related to VMAF evaluation metrics and visual factors are extracted and processed statistically for classification. Finally, bitrate prediction models trained on the dataset by RandomForest classifier can be used to accurately predict the target bitrate of the input videos with target video quality. The classification prediction accuracy of the model reaches 0.705 and the encoded video which is compressed by the bitrate predicted by the model can achieve the target perceptual quality.
Assessing Spatiotemporal Built-up Dynamics in Chiang Mai City, Thailand using Entropy approach

The rates of urban dynamics affecting by industrialization, urban agglomeration, and large-scale migration turn its behaviour from monocentric to polycentric metropolitan resulting in unprecedented urban growth. Therefore, the present study incorporated an entropy-based approach to measure the degree of compactness and dispersiveness of urban development in Chiang Mai City. The Object-based machine learning was deployed for the image classifications with an overall accuracy above the minimum requirements (i.e., 90%) and kappa statistic of agreement above 0.85. The study reveals that Chiang Mai city has undergone urban development outskirts from the urban centre (CBD) and north and south-west direction from the CBD. A considerable increase in urban demographic and physical urban patches was observed in last 1998 to 2018. The research emphasized the significant role of Shannon Entropy to analyze the built-up growth supplemented by Remote Sensing and Geographic Information System (GIS) in respective zones and geographical directions.
Characterization of microporous PP/PE nonwoven mats surface modified by deposition of electrospun nanofibers

Abstract This study investigates the effect of surface modification by deposition of electrospun fibers on properties and performance of three different microporous polypropylene/polyethylene (PP/PE) commercial nonwoven membrane supports (Novatexx 2430, 2465 and 2473). Polyamide (nylon 6) nanofiber webs with a small number of defects and fibers of about 100 nanometer diameter were successfully deposited onto a surface of the selected membrane supports. FESEM was used to examine microstructure and morphology of the unmodified substrates and the prepared composite two-layer membranes. DSC was applied to investigate thermal stability and FT-IR analysis to confirm the chemical composition of the studied membranes. Saline water permeability tests of the prepared two-layer composite membranes were carried out. The largest pressure difference was measured for PA nanofiber/Novatexx 2430 sample, which was ascribed to a denser net structure of the membrane support and possibly to the newly formed layer of dissolved salts on the membrane surface.
Testing the Four Basic Language Skills in the English Language Component of the Mature Students' Entrance Examinations: The Case of Six Ghanaian Universities

This study focused on the Mature Students’ Entrance Examinations (MSEE) which is a commonly used Ghanaian university placement examination. The fundamental aim was to evaluate the comprehensiveness of the English language component of the examination in the area of the four basic language skills (Reading, Writing, Speaking and Listening) tested. A second objective of the study was to explore the reasons behind the choices of the basic language skills tested in the MSEE. The multiple case study design was employed for this study, and the sources of data used were responses from in-depth interviews and the past questions. The data were subjected to analysis via thematic content analysis and document analysis respectively. The analysis highlights the specific contents of the past questions and their related basic language skills tested, as well as the reasons underlying the basic language skills tested. The results revealed that only two of the basic language skills (Reading and Writing) were tested, and time limitations and logistical challenges informed lecturers’ decisions not to test Speaking and Listening. The study recommends that Listening and Speaking tasks be incorporated into the examination to make it comprehensive. Received: 2 September 2021 / Accepted: 16 November 2021 / Published: 5 January 2022
2022 roadmap on 3D printing for energy

The energy transition is one of the main challenges of our society and therefore a major driver for the scientific community. To ensure a smart transition to a sustainable future energy scenario different technologies such as energy harvesting using solar cells or windmills and chemical storage in batteries, super-capacitors or hydrogen have to be developed and ultimately deployed. New fabrication approaches based on additive manufacturing and the digitalization of the industrial processes increase the potential to achieve highly efficient and smart technologies required to increase the competitiveness of clean energy technologies against fossil fuels. In this frame, the present roadmap highlights the tremendous potential of 3D printing as a new route to fully automate the manufacturing of energy devices designed as digital files. This article gives numerous guidelines to maximize the performance and efficiency of the next generation of 3D printed devices for the energy transition while reducing the waste of critical raw materials. In particular, the paper is focused on the current status, present challenges and the expected and required advances of 3D printing for the fabrication of the most relevant energy technologies such as fuel cells and electrolysers, batteries, solar cells, super-capacitors, thermoelectric generators, chemical reactors and turbomachinery.
Bioinformation Analysis Reveals IFIT1 as Potential Biomarkers in Central Nervous System Tuberculosis

Objective Central nervous system tuberculosis is the most serious form of extrapulmonary tuberculosis. We aim to discover potential biomarkers involved in the development of the disease. Methods Through gene difference analysis, construction of a protein interaction network and tissue specific analysis and other bioinformatics analysis methods, we found out the relatively high expression of important substances in the central nervous system, interferon induced protein with tetratricopeptide repeats 1. Subsequently, the lesion tissue and the resection margin tissue away from the lesion were collected from the 6 cases of central nervous system tuberculosis patients diagnosed from 2019 to 2020, and the pathological manifestations were observed by Hematoxylin and Eosin (H&E) staining, and the expression of IFIT1 was verified by immunohistochemistry. Results A total of 101 differential genes were analyzed between extrapulmonary tuberculosis patients and normal people, and they were mainly enriched in the interferon pathway. The protein interaction network unearthed 34 key genes. Through tissue specific analysis, it was found that IFIT1 is relatively high in the central nervous system. H&E staining showed the expression of multinucleated macrophages, and immunohistochemistry showed that IFIT1 was significantly positively expressed in the lesion tissue. Conclusion IFIT1 is an important substance involved in central nervous system tuberculosis.