Miracle-dz/UniFAR-FTUs huggingface dataset:
Igneous Activity and Structural Development of the Mianhua Terrace, Offshore North Taiwan

Using bathymetric and multichannel seismic (MCS) data, we explored the volcanic influence on the bathymetric and stratigraphic features of the Mianhua Terrace. The Mianhua Terrace occupies the marine counterpart of the Northern Taiwan Volcanic Zone (NTVZ) along the collapsed Taiwan orogenic wedge and is dominated by post-collisional magmatism and extensional structures. The bathymetric data showed several semicircular-shaped features near the shelf break. The MCS profiles showed that the Pleistocene unconformity buried beneath the Mianhua Terrace is partly difficult to observe due to seafloor multiples, suggesting that the seafloor is dominated by physically hard lithology, probably volcanic lavas. We interpreted the high-amplitude reflectors and their projected seafloor relief as intrusive sills and associated extrusive edifice. Similarly, we interpreted high-amplitude reflectors in the vicinity of normal faults as intrusive sills emplaced and facilitated by fault structures. A volcanic or hydrothermal mound was also recognized. We propose that the Mianhua Terrace is a breached ramp in a transfer zone between the tips of two successive normal faults along the shelf break. Once the fault tips reactivate and extend toward each other, the Mianhua Terrace may continue to collapse, leading to catastrophic volcanic or associated hydrothermal events.
The Role of Personality in Shaping Pandemic Response: Systemic Sociopolitical Factors Drive Country Differences

The current study utilizes the current COVID-19 pandemic to highlight the importance of accounting for the influence of external political and economic factors in personality public health research. We investigated the extent to which systemic factors modify the relationship between personality and pandemic response. Results shed doubt on the cross-cultural generalizability of common Big Five factor models. Individual differences only predicted government compliance in autocratic countries and in countries with income inequality. Personality was only predictive of mental health outcomes under conditions of state fragility. Our ability to use individual differences to understand policy-relevant outcomes changes based on environmental factors and must be assessed on a trait-by-trait basis, thus supporting the inclusion of systemic political and economic factors in individual differences models.
Individual‐level leaf trait variation and correlation across biological and spatial scales

Abstract Even with increasing interest in the ecological importance of intraspecific trait variation (ITV) for better understanding ecological processes, few studies have quantified ITV in seedlings and assessed constraints imposed by trade‐offs and correlations among individual‐level leaf traits. Estimating the amount and role of ITV in seedlings is important to understand tree recruitment and long‐term forest dynamics. We measured ten different size, economics, and whole leaf traits (lamina and petiole) for more than 2,800 seedlings (height ≥ 10 cm and diameter at breast height < 1 cm) in 283 seedling plots and then quantified the amount of ITV and trait correlations across two biological (intraspecific and interspecific) and spatial (within and among plots) scales. Finally, we explored the effects of trait variance and sample size on the strength of trait correlations. We found about 40% (6%–63%) variation in leaf‐level traits was explained by ITV across all traits. Lamina and petiole traits were correlated across biological and spatial scales, whereas leaf size traits (e.g., lamina area) were weakly correlated with economics traits (e.g., specific lamina area); lamina mass ratio was strongly related to the petiole length. Trait correlations varied among species, plots, and different scales but there was no evidence that the strength of trait relationships was stronger at broader than finer biological and spatial scales. While larger trait variance increased the strength of correlations, the sample size was the most important factor that was negatively related to the strength of trait correlations. Our results showed that a large amount of trait variation was explained by ITV, which highlighted the importance of considering ITV when using trait‐based approaches in seedling ecology. In addition, sample size was an important factor that influenced the strength of trait correlations, which suggests that comparing trait correlations across studies should consider the differences in sample size.
Friction and thermo mechanical characterization of nano basalt reinforced epoxy composites

Abstract In the present investigation nano basalt epoxy composites have been examined for its possibility in employing new wear resistant material with improved friction and thermo mechanical characteristics. The nanocomposites were fabricated by dispersing (1–5 wt.%) nano basalt particles in epoxy using sonication process. The density, mechanical properties (tensile strength and micro hardness), thermal stability along with friction and wear behavior have been investigated as per ASTM standard. The result shows that all the properties found to be increased with nano basalt content in the thermosetting epoxy matrix. The FESEM studies reveal the homogeneous dispersion of nano basalt (≤3 wt.%) in the epoxy matrix. This uniform dispersion improves the thermomechanical and friction characteristics. The specific wear rate of the nano epoxy composites reinforced with nano basalt particulates exhibits the superior wear-resistance properties. The results reveal that 3 wt. % nano basalt in the epoxy matrix yields maximum improvement in tensile strength, micro hardness, thermal stability, wear resistance and coefficient of friction when compared to other composites subjected to investigation. The excessive addition (>3 wt.%) forms basalt clusters as agglomeration which pull down the frictional and thermo mechanical performance.
Sex differences on the contextual factors and physical activity levels among the Nigerian people during the COVID-19

Background: In the context of flattening the curve of the spread of coronavirus in Nigeria, some factors were considered. This study aimed to investigate the relationship between some of the considered factors and physical activity and investigate sex differences on physical activity during the coronavirus pandemic in Nigeria. Methods: The study was cross-sectional using an online survey and recruited participants from Nigeria's southwest geopolitical zone through the snowball sampling technique. Descriptive statistics (such as percentages), correlation analyses, and t-test of independent measures were used to analyze the data collected. The data collection was conducted from April to June 2020. Results: The participants' age ranges from 18 to 73years, with a mean age of 42.9 years, a median of 43years, and a standard deviation of 5.41. The result showed a significant difference between males and females (x = 1001.21; SD=1371.83) on moderate physical activity during the pandemic in Nigeria. However, there was no significant relationship between contextual factors; perception of the spread [r (467) =0.028; P>0.05], fear of contracting COVID-19 [r (467) =0.041; P>0.05], stay at home measures [r (467) =-0.030; P>0.05], sensitizing others about COVID-19 [r (467) =-0.044; P>0.05], compliance with safety rules and regulations [r (467) =0.052; P>0.05] and overall physical activity. Conclusion: The study concluded that the relationship between contextual variables and physical activity among Nigerian people during the COVID-19 pandemic is not significant. Secondly, males and females are not different on vigorous and walking physical activity levels.
Static Force Measurement Using Piezoelectric Sensors

In force measurement applications, a piezoelectric force sensor is one of the most popular sensors due to its advantages of low cost, linear response, and high sensitivity. Piezoelectric sensors effectively convert dynamic forces to electrical signals by the direct piezoelectric effect, but their use has been limited in measuring static forces due to the easily neutralized surface charge. To overcome this shortcoming, several static (either pure static or quasistatic) force sensing techniques using piezoelectric materials have been developed utilizing several unique parameters rather than just the surface charge produced by an applied force. The parameters for static force measurement include the resonance frequency, electrical impedance, decay time constant, and capacitance. In this review, we discuss the detailed mechanism of these piezoelectric-type, static force sensing methods that use more than the direct piezoelectric effect. We also highlight the challenges and potentials of each method for static force sensing applications.
Azithromycin Use in COVID-19 Patients: Implications on the Antimicrobial Resistance.

Laboratório de Resistência Bacteriana (RESBAC), Departamento de Microbiologia, Centro de Ciências da Saúde (CCS), Universidade Federal do Espírito Santo (UFES), Vitória, Brazil; Programa de Pós-Graduação em Doenças Infecciosas, Universidade Federal do Espírito Santo (UFES), Vitória, Brazil; Laboratório de Estudos Avançados de Microrganismos Emergentes e Resistentes (LEAMER), Departamento de Microbiologia Geral, Instituto de Microbiologia Paulo de Góes (IMPG), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil; Programa de PósGraduação em Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
Production and Consumption of Dried Meat in the City of ABECHE (CHAD)

To understand the place of livestock products and byproducts in the supply of cities, a study was conducted in the city of Abeche using the method of sector analysis: production and consumption of meat dried. Surveys concerned 89 producers and 104 consumers. The information collected concerns the profile of the producers, the different manufacturing processes and the consumption patterns. This collected information was analyzed with XL-STAT 6.1. 9 and also with the variance analysis (ANOVA) at the 5% threshold. The result shows that most of the production is done by women with an average age of 31 ± 1, 08. These producers are mostly traders. However, beef is much more sought after for processing at the expense of other meats for its yield and availability. The average drying time is 2 days during the dry season and 5 days during the rainy season. Two drying methods have been identified, the first of which is the mat and it is the most used and the second is the rope. From the point of view of hygiene, most producers do not respect hygiene rules and they use certain food additives (salt, oil, etc.) for processing. Regarding consumption, the “charmoute” is very popular with the population of Abechosies especially women with an average age of 35 ± 1.57. Most of these consumers are of the Muslim religion. It shows that 85.44% consume this meat with a frequency of consumption per week (70%). By cons, 5.83% consume for its poor preparation.
A low-profile FSS-based high capacity chipless RFID tag for sensing and encoding applications

Abstract This paper presents a polarization-independent 11-bit chipless RFID tag based on frequency-selective surface which has been designed for encoding and relative humidity (RH) sensing applications. The 10 exterior U-shaped resonators are used for item encoding whereas Kapton has been incorporated with the interior resonator for RH sensing. This radio-frequency identification (RFID) tag operates in S- and C-frequency bands. The proposed design offers enhanced fractional bandwidth up to 88% with the density of 4.46 bits/cm2. Both single- and dual-layer tags have been investigated. The simulated results are in good agreement with measured results and a comparison with existing literature is presented to show the performance. Simple geometry, high code density, large frequency signature bandwidth, high magnitude bit, high radar cross-section, and angular stability for more than 75° are the unique outcomes of the proposed design. In addition, RH sensing has been achieved by integrating the Kapton on the same RFID tag.
Hydrogen Addition for Centimeter-Sized Monolayer Tungsten Disulfide Continuous Films by Ambient Pressure Chemical Vapor Deposition

Monolayer tungsten disulfide (WS2) offers great prospects for use in optoelectronic devices due to its direct bandgap and high photoluminescence intensity. Here, we show how the controlled addition of hydrogen into the chemical vapor deposition growth of WS2 can lead to the formation of centimeter scale continuous monolayer films at ambient pressure without the need for seed molecules, specially prepared substrates, or low pressure vacuum systems. Modifications of the reaction conditions, including growth time and hydrogen to argon ratio, allow for control over the domain size, film coverage, and film uniformity of the prepared WS2 film. The combined control of hydrogen and a double-furnace system enables an increases in the growth rate of WS2, which results in fully merged films with cm2 coverage and reduced multilayer content. Field effect transistors are fabricated to demonstrate that WS2 has high quality for electronic applications. Our ambient pressure chemical vapor deposition reaction is simple and.
Biogeography of the neotropical freshwater stingrays (Myliobatiformes: Potamotrygoninae) reveals effects of continent‐scale paleogeographic change and drainage evolution

Paleogeographic changes have had profound effects on the evolution and diversity of the Neotropical biota. However, the influence of marine incursions on the origin, diversification, and distribution of fishes is still incompletely understood. We investigate the biogeographical and chronological patterns of diversification for the marine‐derived Neotropical freshwater stingrays (subfamily Potamotrygoninae) at a continental scale.
Modeling of Soil-Plant-Fertilizer Relationships for Optimizing Fertilizer Doses for Different Levels of Finger Millet Yield under Semi-Arid Alfisols

ABSTRACT Experiments were conducted to test the superiority of treatment combinations of nitrogen (N; 0, 50, 100, 150, 200 kg ha−1), phosphorus (0, 30, 60, 90 kg ha−1) and potassium (0, 30, 60 kg ha−1) for finger millet during 2005–2007. Application of 200-90-60 kg ha−1 gave maximum yield of 1666, 1426 and 1640 kg ha−1 in 3 years, respectively. The yield regression model through soil and fertilizer nutrients gave predictability of 0.98, 0.97 and 0.98, with sustainability yield index (SYI) of 50.4, 49.4 and 52.5 in 2005, 2006 and 2007, respectively. Optimum nitrogen, phosphorus and potassium (NPK) doses for attaining yields of 800 and 1200 kg ha−1 were derived at soil nitrogen, phosphorus and potassium of 75–400, 10–70 and 150–750 kg ha−1. Fertilizer nitrogen, phosphorus and potassium ranged from 30–128, 3–19, 13–25 kg ha−1 and 105–203, 4–32, 27–39 kg ha−1 for attaining 800 and 1200 kg ha−1 yield, respectively. The doses could be adopted for attaining sustainable yields under semiarid Alfisols.
POMEGRANATE (Punica granatum L.) PEEL EXTRACT- A STUDY ON POTENTIAL SOURCE OF PHARMACOLOGICAL ACTIVITIES

Pomegranate (Punica granatum L.) has been used for ages in many civilizations for the prevention and treatment of a varied number of health maladies such as Cancer, diabetes, inflammation, dental plaque, dysentery, and to fight malarial parasites and intestinal infections. It is an important source of bioactive compounds such as Ellagitannins and the Punicalagin. In the present study, potential biological activities of aqueous peel extract of pomegranate were carried out. Antibacterial activity was studied against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Salmonella typhii; Antifungal activity against Aspergillus niger and Aspergillus flavus. Antioxidative study was evaluated by DPPH and FRAP assay. Antimicrobial study reveals all the tested bacterial and fungal strains were susceptible to aqueous peel extract as dose dependent manner. Maximum activity was observed in high concentration of extracts. DPPH and FRAP assay showed potential antioxidative activity due to the presence of various flavonoids.
Monetary-Fiscal policies and stock market performance: Evidence from linear ARDL framework

Objective – To explore the impacts of monetary and fiscal policies, the appropriateness of both policies and how the stock market is affected by their adoption and implementation in the United States (US). Hence, this study aims to determine the short and long run relationships between monetary and fiscal policies and stock market performance as well as establish potential factors and policies contributing to the highs and lows. Methodology/Technique – We use autoregressive distribution lag (ARDL) developed by Pesaran et al. (2001) to achieve the objective. In this study, annual time series data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, was used. Findings – The results show that both policies play a significant role in the stock market. We find a significant positive effect of real gross domestic product (RGDP) and the interest rate on the US stock market in the long run and significant negative relationship effect of the consumer price index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Novelty – As the US stock market heavily depends on the Tax Revenue in the short run, any changes in TR can impact on the US stock market considerably. Thus, shareholders can benefit from these results when they look at macroeconomic data in order to enhance their investment strategy. Type of Paper: Empirical. JEL Classification: E52; E62; G18 Keywords: ARDL; Monetary Policy; Fiscal Policy; The Stock Market in The United States. Reference to this paper should be made as follows: Emamian, A; Mazlan, N.S. 2021. Monetary-Fiscal policies and stock market performance: Evidence from linear ARDL framework, Journal of Business and Economics Review, 5(4), 69–80. https://doi.org/10.35609/jber.2021. 5.4(7)
A systematic review of machine learning in logistics and supply chain management: current trends and future directions

PurposeThis paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics for future research.Design/methodology/approachA systematic/structured literature review in the subject discipline and a bibliometric analysis were organized. Information regarding industry involvement, geographic location, research design and methods, data analysis techniques, university, affiliation, publishers, authors, year of publications is documented. A wide collection of eight databases from 1994 to 2019 were explored using the keywords “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract. A total of 110 articles were found, and information on a chain of variables was gathered.FindingsOver the last few decades, the application of emerging technologies has attracted significant interest all around the world. Analysis of the collected data shows that only nine literature reviews have been published in this area. Further, key findings show that 53.8 per cent of publications were closely clustered on transportation and manufacturing industries and 54.7 per cent were centred on mathematical models and simulations. Neural network is applied in 22 papers as their exclusive algorithms. Finally, the main focuses of the current literature are on prediction and optimization, where detection is contributed by only seven articles.Research limitations/implicationsThis review is limited to examining only academic sources available from Scopus, Elsevier, Web of Science, Emerald, JSTOR, SAGE, Springer, Taylor and Francis and Wiley which contain the words “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract.Originality/valueThis paper provides a systematic insight into research trends in ML in both logistics and the supply chain.
Diode laser in the excision of intraoral fibroma: A safe tool for minimally invasive dentistry

Intraoral fibroma is a common lesion that develops in the oral cavity following trauma or tissue injury. It has a strong female predilection and is more frequently seen in the third and fourth decades of life. The most common site of traumatic fibroma is buccal mucosa along the plane of occlusion. The conventional method for excision of fibromas is using surgical blades. However, this method has certain disadvantages such as excessive bleeding and pain to the patient during the excision. Postoperatively, there can be delayed wound healing with occasional scarring. With the introduction of diode lasers for soft-tissue excisions in dentistry, we can now overcome these limitations. Here, we present the case series of two cases of intraoral fibroma. In this case series, intraoral fibroma was excised using a diode laser. It was observed that in both cases, the healing was much faster. There was minimal intraoperative bleeding. Furthermore, the surgical time reduced substantially and the patient was more comfortable during the procedure as well as in the postoperative phase. Thus, the diode laser has been found to be safe, less painful, and with better post-operative outcomes.
Sustainable paths to a circular economy: reusing aged Li-ion FePO4 cathodes within Na-ion cells

Responsible disposal and recycling are essential for the sustainability of the battery market, which has been exponentially growing in the past few years. Under such a scenario, the recycling of materials of less economic value, but environmentally much more sustainable like LiFePO4, represents an economic challenge. In this paper an approach to recover used FePO4 electrodes from calendar aged Lithium-ion (Li-ion) batteries and their reuse in Sodium-ion (Na-ion) cells is proposed. The electrochemical performances of the Na-ion cell are shown to be comparable with previously reported values and, since the electrode can retain the original microstructure and distribution, electrode processing can be avoided. A proof of concept of a NaFePO4//hard carbon full cell using a very high positive electrode loading optimized for Li-ion batteries (≈14 mg cm−2) is shown.