Miracle-dz/UniFAR-FTUs huggingface dataset:
Droplet-based energy harvester considering electrowetting phenomena

Droplet-Based energy harvesting is one of the most recent techniques used to convert environmental mechanical energies into electrical energy. Despite unique properties like compatibility with MEMS fabrication and efficient performance in reduced spaces, their operation is limited by the negative effects of electrowetting. In presence of an external electric filed, the wetting state of a droplet can be a function of three factors: the properties of applied dielectric, the wettability features of the droplet, and the amount of applied electric filed. An appropriate circuit can manage the effect of external electric filed on the droplets which here is considered as a tool to mitigate the negative effects of electrowetting. This paper presents designing, modeling, and fabrication steps of a droplet-based power generator considering electrowetting during fabrication and evaluation processes. The generator operation was analyzed in a voltage-constrained circuit and the experimental data were in accordance with the proposed semi-empirical model in this regard. Generator evaluation was done using a range of capacities made by 12 to 84 droplets under frequencies of 0.8, 10.8, and 16.6 Hz and a bias voltage of 7.5 V. The maximum output voltage and power was obtained by applying 16.6 Hz frequency to 84 droplets, reaching 1.25 V and 1.56 μW, respectively.
Does corporate tax aggressiveness explain future stock price crash? Empirical evidence from France

Purpose This study aims to examine the impact of corporate tax aggressiveness on future stock price crash. It also tests the impact of corporate tax aggressivness in predicting stock price crash for a two-year forecast window. Design/methodology/approach The study sample consisted of 1,169 firm-years observations. The multivariate analysis uses three measures of stock price crash risk, as a dependent variable. The key variable is tax aggressiveness lagged by one period (one year) as all independent variables. As a robustness check, this paper uses alternate measures of earning management and a longer forecast window (two years) to predict stock price crash risk. Findings Tax aggressiveness activity is positively related to a firm-specific future stock price crash. Moreover, corporate tax aggressiveness predicts stock price crash risk for a long forecast window (two years). The findings are robust to a number of checks and have several policy implications. Practical implications The cost of continuing to accumulate bad news will be greater than the cost of revealing them. Thus, board of directors should encourage disclosure in order to reveal private news and then, to increase the amount of firm-specific information in returns. Another point is that tax aggressiveness behavior implies a risk to be perceived by the market as socially irresponsible, and may harm the firm reputation. This fact leads, in terms of portfolio management, to deter investment in firm-equity. Therefore, Investors should be cautious about the different risks of corporate tax aggressiveness. Social implications The accounting system in France, as in most European countries, relies upon codified rules and government requirement. Thus, our results provide some evidence of the effectiveness of the French laws and regulations in preventing indirectly earnings management from affecting stock price crash risk. Originality/value French companies are among the heavily taxed in Europe which makes France a particularly suitable context for studying tax aggressiveness issues. To the best of our knowledge, this study is the first in the french context, that document a signifcant and positive relation between tax aggressiveness and future crash risk. It focuses on the important role of corporate tax planning as a means of withholding bad news and its consequences in inflating stock prices.
The defect density in amorphous silicon

Abstract The correlation between the density of dangling-bond defects and the slope of the Urbach tail in hydrogenated amorphous silicon is examined. It is shown that this correlation can be explained quantitatively by a spontaneous decay of the weakest bonding orbitals into non-bonding defects during deposition or annealing of a sample and that the same correlation holds for all types of disorder affecting the slope of the Urbach edge. The temperature dependence of the defect density as well as the creation of metastable defects are discussed, and quantitative expressions are derived which can be used to estimate the quality and the stability of a given sample on the basis of the slope of its Urbach tail alone. Possible ways for future improvement of the material are indicated.
Schottky barriers and plasmons

The changes in the electron exchange and correlation potential are related to the collective excitation at the interface of a metal semiconductor junction. They are shown to change discontinuously across the band gap, and the possible effects on the barrier formation are discussed. The possibility of surface superconductivity through exciton and plasmon exchange is considered briefly.
First record of the gregarious parasitoid Leucospis leucotelus Walker (Leucospidae) attacking nests of Xylocopa (Neoxylocopa) frontalis (Olivier) (Apidae)

Notes on three nests of the large carpenter bee Xylocopa (Neoxylocopa) frontalis (Olivier) (Apidae) attacked by the parasitoid Leucospis leucotelus Walker (Leucospidae) are presented. We observed that host brood cells contained from four to 12 parasitoids (adults or immature) which allowed us to identify this Leucospis species as a gregarious parasitoid. This was the first record of a gregarious Leucospis species attacking X. frontalis nests.
Influence of Some Dairy Powders on the Qualitative Parameters of Bread

Bread, is one of the basic nutrients of Turkish people, is one of the first in providing energy, although it is rich in carbohydrate, and not sufficient in terms of protein, vitamins and minerals, it is suitable for enriching with natural additives. Dairy powder as skim milk powder, yogurt powder, buttermilk powder, colostrum powder, whey protein concentrate powder and lactose powder are obtained by spray drying of some dairy products. The target of this study is to enrich the bread samples with dairy powders and increase the usage of by-products in food systems. For this purpose, different dairy powder (skim milk powder (SMP), butter milk powder (BMP), yoghurt powder (YP), colostrum powder (CP), whey powder (WP) and lactose (L) were used in bread formulations (3%). AACC Method 10.10 was used in bread making with some modifications. Bread volume, weight, specific volume, texture, porosity, symmetry, firmness (after 24 and 72 hours), crust and crumb color properties of the breads and rheological properties (extensograph) of dough samples were investigated. Bread weight, volume, specific volume, texture, firmness (P<0.01), symmetry and porosity (P<0.05) values were statistically effected by the powder types. While the highest bread volume value was determined with CP, dairy powder addition gave lower bread volume values compared to control bread sample. Besides, CP addition gave desirable bread properties (darker crust color and softer crumb texture). According to rheological properties, the highest resistance to extension and energy values of dough samples was determined with YP addition, while CP addition gave the highest maximum extensibility values. As a consequence, dairy powder form could be used in bread formulations and further studies on dairy by-products usage are recommended.
SARS-CoV-2 intervened by NSAIDs: A network pharmacology approach to decipher signaling pathway and interactive genes

Background: Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) showed promising clinical efficacy toward COVID-19 patients as painkillers and anti-inflammatory agents. However, the prospective anti-COVID-19 mechanisms of NSAIDs are not evidently exposed. Therefore, we intended to decipher the most potent NSAIDs candidate(s) and its novel mechanism(s) against COVID-19 by network pharmacology.Method: FDA (U.S. Food & Drug Administration) approved twenty NSAIDs were used for this study. Genes related to selected NSAIDs and COVID-19 related genes were identified by the Similarity Ensemble Approach, Swiss Target Prediction, and PubChem databases. Venn diagram identified overlapping genes between NSAIDs and COVID-19 related genes. The interactive networking between NSAIDs and overlapping genes was analyzed by STRING. RStudio plotted the bubble chart of KEGG pathway enrichment analysis of overlapping genes. Finally, the binding affinity of NSAIDs against target genes was determined through molecular docking analysis.Results: Geneset enrichment analysis exhibited 26 signaling pathways against COVID-19. Inhibition of proinflammatory stimuli of tissues and/or cells by inactivating RAS signaling pathway was identified as the key anti-COVID-19 mechanism of NSAIDs. Besides, MAPK8, MAPK10, and BAD genes were explored as the associated genes of the RAS. Among twenty NSAIDs, 6MNA, rofecoxib, and indomethacin revealed promising binding affinity with the highest docking score against three identified genes, respectively.Conclusions: Overall, our proposed three NSAIDs (6MNA, rofecoxib, and indomethacin) might block the RAS by inactivating its associated genes, thus may alleviate excessive inflammation induced by SARS-CoV-2.
Cost-Effectiveness Analysis of Atrial Fibrillation Screening for Stroke Prevention in China: A Markov Model

Objectives: To evaluate the cost-effectiveness of community-based Atrial fibrillation (AF) screening by 12-lead electrocardiogram (ECG) in Chinese healthcare setting.Methods: A Markov state transition model was used to simulate the costs and effects on a 55/65/75-year-old cohort under routine care and AF screening by 12-lead ECG. The circle length was 1 year, and people were simulated until 90 years old. The cost-effectiveness analysis was perform using a societal perspective. Transition probability, costs, and utility data were derived from open dataset and published literature. One-way and probabilistic sensitivity analyses were performed to exam the uncertainty of the results. Results: Annual AF screening in 65/75-year-old cohort was highly cost-effective with the incremental cost-effectiveness ratio (ICER) Chinese Yuan Renminbi (CNY) 64147/49736 per quality-adjusted life year (QALY) gained. Annual AF screening in 65/75-year-old cohort was associated with 535/492 prevented ischemic strokes and 174/163 more intracerebral hemorrhages, and the anticoagulation rate increased from the assumed 10% on routine care to 61.5%. Probabilistic sensitivity analysis indicated that these two strategies have 55% and 78% chances of being cost-effective at a willingness-to-pay (WTP) threshold of 1× gross domestic product per capita of China in 2019, US $10635 QALY.Conclusion: Annual community-based screening of population aged 65 years and older in China is likely to be cost-effective at conventional willingness-to-pay thresholds to reduce the unnecessary burden of strokes.
The Revolution in Indication for Liver Transplantation: Will Liver Metastatic Disease Overcome the End-Stage Liver Disease in the Next Future?

Indications for liver transplantation (LT) have constantly been evolving during the last few decades due to a better understanding of liver diseases and innovative therapies. Likewise, also the underlying causes of liver disease have changed. In the setting of transplant oncology, recent developments have pushed the boundaries of oncological indications for LT outside hepatocellular carcinoma (HCC), especially for secondary liver tumors, such as neuroendocrine and colorectal cancer. In the next years, as more evidence emerges, LT could become the standard treatment for well-selected metastatic liver tumors. In this manuscript, we review and summarize the available evidence for LT in liver tumors beyond HCC with a focus on metastatic liver malignancies, highlighting the importance of these new concepts for future implications.
Surgical Management and Outcomes of Homozygous Familial Hypercholesterolemia in Two Cousins: A Rare Case Report

Homozygous familial hypercholesterolemia (HoFH) is a rare life-threatening condition characterized by high levels of low-density lipoprotein (LDL) cholesterol in the blood, which increases a person’s risk of developing early atherosclerotic cardiovascular disease (ASCVD). In this report, we present two cases of related patients with aortic stenosis and mitral regurgitation as complications of HoFH. We also discuss the surgical interventions they underwent and their outcomes. The two related patients with HoFH were admitted to our hospital with signs and symptoms of heart failure. Physical examination revealed an ejection systolic murmur over the aortic valve. Echocardiography revealed valvular disease, and coronary angiography revealed coronary artery disease (CAD). They had undergone the Bentall procedure, mitral valve replacement, and coronary artery bypass graft (CABG) surgery. We elaborate on the progressive course of HoFH, the possible complications associated with this condition, treatment options, and prognosis for the disease. HoFH is very rare and associated with many cardiovascular complications that can be fatal. The medical treatment of HoFH is rarely sufficient to manage the disease, and surgical interventions are eventually required. The outcomes of surgical treatment are generally good and acceptable.
K x‐ray fluorescence cross‐section measurements of some elements in the energy range 8–47 keV

The Kα and Kβ XRF cross-sections were measured for Sc, Cr, Fe, Ni, Ga, Sr, Nb, Rh, Pd and Te at eight excitation energies ranging from 8 to 47 keV using energy-dispersive XRF. The Kα and Kβ cross-sections for all the elements were in general agreement with the theoretical values calculated using photoionization cross-sections based on Hartree-Slater potentials and Kβ/Kα intensity ratios based on Hartree-Fock theory.
Trade‐Off Between Data Retention and Switching Speed in Resistive Switching ReRAM Devices

Memristive switching devices are promising for future data storage and neuromorphic computing applications to overcome the scaling and power dissipation limits of classical CMOS technology. Many groups have engineered bilayer oxide structures to enhance the switching performance especially in terms of retention and device reliability. Here, introducing retention enhancement oxide layers into the memristive stack is shown to result in a reduction of the switching speed not only by changing the voltage and temperature distribution in the cell, but also by influencing the rate‐limiting‐step of the switching kinetics. In particular, it is demonstrated that by introducing a retention enhancement layer into resistive switching SrTiO3 devices, the kinetics are no longer determined by the interface exchange reaction between switching oxide and active electrode, but depend on the oxygen ion migration in the additional interface layer. Thus, the oxygen migration barrier in the additional layer determines the switching speed. This trade‐off between retention and switching speed is of general importance for rational engineering of memristive devices.
Image Processing-Based Spall Object Detection Using Gabor Filter, Texture Analysis, and Adaptive Moment Estimation (Adam) Optimized Logistic Regression Models

This study aims at proposing a computer vision model for automatic recognition of localized spall objects appearing on surfaces of reinforced concrete elements. The new model is an integration of image processing techniques and machine learning approaches. The Gabor filter supported by principal component analysis and k-means clustering is used for identifying the region of interest within an image sample. The binary gradient contour, gray level co-occurrence matrix, and color channels’ statistical measurements are employed to compute the texture of the extracted region of interest. Based on the computed texture-based features, the logistic regression model trained by the state-of-the-art adaptive moment estimation (Adam) is utilized to establish a decision boundary that delivers predictions on the status of “nonlocalized spall” and “localized spall. ” Experimental results demonstrate that the newly developed model is able to achieve good detection accuracy with classification accuracy rate = 85.32%, precision = 0.86, recall = 0.79, negative predictive value = 0.85, and F1 score = 0.82. Thus, the proposed computer vision model can be helpful to assist decision makers in the task of the periodic survey of structure heath condition.
Direct measurement of surface forces due to charging of solids immersed in a nonpolar liquid

Direct measurements of a long-range force between charged solid surfaces in a nonpolar liquid are presented for the first time. Measurements were made between mica surfaces in solutions of the anionic surfactant sodium di-2-ethylhexylsulfosuccinate (AOT) at millimolar concentrations in n-decane using a surface force apparatus which has been modified to improve its sensitivity for detecting a weak and long-range force. Modifications include a magnetic drive system, the use of a weak cantilever spring with the apparatus mounted in a vertical configuration, and a detailed consideration of the interference optics to allow accurate measurements of surface separations up to several micrometers. The results show a repulsion that is well fitted by theoretical curves based on a model in which only counterions enter the calculation, in other words, in the absence of a reservoir of ions in the solvent. Fitting the theory to the data allows an estimate of the mica surface charge density of ∼1 mC/m2. A mechanism for s.
Thermodynamic stereoselectivity assisted by weak interactions in metal complexes. Copper(II) ternary complexes of cyclo-L-histidyl-L-histidine and L- or D-amino acids in aqueous solution

The thermodynamic stereoselectivity and spectroscopic characteristics of copper(II) ternary complexes with L- or D-amino acids (Xaa) and cyclo-L-histidyl-L-histidine, cyclo(-His-His-), have been investigated. Ternary complex formation with L-amino acids is more enthalpy and less entropy favoured than that of the analogous D-amino acids. For aromatic amino acids these differnces increase going from phenylalanine to tryptophan, suggesting involvement of aromatic ring-stacking interactions between one of the dipeptide imidazoles and the Xaa aromatic side chain in the mixed-ligand complexes. Enthalpy changes are the driving force for the thermodynamic stereoselectivity. A detailed analysis of the CD spectra of these ternary systems resulted in a correlation between Δ(ΔIµ), the difference between the molar CD coefficients at the wavelength where it is maximized, and the ΔG° and ΔH° values. On the basis of EPR spectra, it is excluded that the differences between the mixed-ligand complexes with L- or D-amino acids are due to a different degree of solvation. It is proposed that hydrophobic and ring-stacking interactions, responsible for stereoselectivity, are favoured by a certain degree of tetrahedral distortion of the tetragonal copper(II) chromophore formed by the two imidazole nitrogen donors of cyclo(-His-His-) and the nitrogen and carboxylate oxygen donors of the L- or D-amino acids.
OBSERVATIONS ON EARTHWORM CHANNELS AND INFILTRATION ON TILLED AND UNTILLED LOESS SOIL

The number of earthworm channels ranging from 2 to 11 mm in diameter were counted to 80 cm depth in tilled and untilled grey-brown podzolic soil derived from loess. Number and percentage volume of earthworm channels in the Ap horizon approximately doubled during 4 years of no-tillage practice as compared to the tilled plot. Almost all the channels of the Ap horizon in the untilled plot had ports at the soil surface and were capable of taking in tension-free irrigation water and transmitting free water to a maximum depth of 180 cm, where the channels end at the transition to unweathered loess. The channels in the Ap horizon of the tilled plot were not effective in water transmission. The same is true for a large number of channels in the subsoil of tilled and untilled plots, which could not contribute to water infiltration because they were not connected with the soil surface. The maximum infiltrability of conducting channels in the untilled soil was computed as more than 1 mm (1 liter per m2) per minute, although the volume of these channels amounted to only 0.2 vol. %.
Development of E-sports industry in China: Current situation, Trend and research hotspot

China has become the world's largest E-sports market, with a unique e-sports industry development model. This paper analyzes the current situation of China's e-sports industry from the dimensions of scale, structure and employment, and classifies the activities of e-sports industry. With the support of local industrial policies, China's e-sports industry will speed up the combination of offline and urban traditional industries; with the comprehensive promotion and application of 5g technology, China's e-sports industry will usher in a new round of industrial explosion cycle. At the same time, the next research focus of e-sports industry will focus on e-sports game standards, 5g E-sports mode, E-sports sports professionalized, E-sports education and E-sports culture
Sustainable Tourism and The Roles of Tour Guides in Destinations: A Qualitative Case Study in Turkey

Citation: Guzel, O. , Nacak, E. , Bilgi, E. & Kalin, V. (2021). Sustainable tourism and the roles of tour guides in destinati-ons: A qualitative case study in Turkey. Journal of Economy Culture and Society, 63, 149-163. https://doi.org/10.26650/JECS2020-0015 ABSTRACT The sustainable tourism approach is the way to ensure a destination’s development and protec-tion. Since there are important links between the visitor and the destination, tourist guides may contribute to the destination’s resources management and economic and socio-cultural impact. They could set a deep contact with tourists in destinations and have positive results on tourist sustainable behaviors. The aim of the study is to identify the dimensions of the roles attributed to tourist guides in the promotion of sustainable tourism and to determine the content of these roles within an exploratory perspective. In this research, the qualitative research method has been adopted in the phenomenology research design in order to reveal the meanings that tour guides have experienced. The data was obtained through deepinterviews with tourist guides and evalu-ated with descriptive analysis technique. According to the findings, the roles of the tourist guides are dimensioned as “adopting consulting role, taking over inspection, sustainability training, raising tourists’ awareness, promotion of the local economy, and sustainable tour management” within the context of sustainable tourism development. The paper indicates the contributions to the tourism literature with the determination of roles tourist guides serve in the promotion of sus-tainable tourism in detail, as limited studies have been conducted in Turkey.