Miracle-dz/UniFAR-FTUs huggingface dataset:
The Signature and Elimination of Sediment Reverberations on Submarine Receiver Functions

While the receiver function technique has been successfully applied to high‐resolution imaging of sharp discontinuities within and across the lithosphere, it suffers from severe limitations when applied to seafloor seismic recordings. This is because the water and sediment layer could strongly influence the receiver function traces, making detection and interpretation of crust and mantle layering difficult. This effect is often referred to as the singing phenomena in marine environments. We demonstrate, using analytical and synthetic modeling, that this singing effect can be reversed using a selective dereverberation filter tuned to match the elastic property of each layer. We apply the dereverberation filter to high‐quality earthquake records collected from the NoMelt seismic array deployed on normal, mature Pacific seafloor. An appropriate filter designed using the elastic properties of the underlying sediments, obtained from prior studies, greatly improves the detection of Ps conversions from the Moho (∼8.6 km) and from a sharp discontinuity (<∼5 km) across the lithosphere asthenosphere transition (∼72 km). Sensitivity tests show that the dereverberation filter is mostly sensitive to the two‐way travel time of the shear wave in sediment and is robust to seismic noise and small errors in the sediment properties. Our analysis suggests that selectively filtering out the sediment reverberations from ocean seismic data could make inferences on subsurface structure more robust. We expect that this study will enable high‐resolution receiver function imaging of the oceanic plate across the growing ocean bottom seismic arrays being deployed in the global oceans.
Study on conditions for Gama buryric acid (GABA) production in Lactobacillus fermentum A01 isolated from human

Lactic acid bacteria play a vital role in biosynthesis of γ -aminobutyric acid (GABA) in the presence of glutamic acid - major substrate for the process. In recent study, Lactobacillus fermentum A01 (L. fermentum A01) isolated from various sources in Vietnam were screened for bacteria strains with high efficiency in GABA formation. L. fermentum was cultured in MRS broth containing 25 mg/mL monosodium glutamate (MSG), at pH of 6.5 and incubated at the optimal conditions (37ºC, for 24, 48, 72 h). After extraction and thin layer chromatography (TLC) and high-performance liquid chromatography (HPLC) analysis, L. fermentum A01 showed the GABA yield about 1.34 mg/g in dried supernatant, suggesting L. fermentum A01 to be a promising GABA producer for food and pharmaceutical applications.
Design and Development of Pd-Catalyzed Aerobic N-Demethylation Strategies for the Synthesis of Noroxymorphone in Continuous Flow Mode

Strategies for the generation of noroxymorphone from 14-hydroxymorphinone are presented. Noroxymorphone is the key intermediate in the synthesis of various opioid antagonists, including naloxone, naltrexone and nalmefene, as well as mixed agonists-antagonists like nalbuphine. The transformation requires removal of the N-methyl group from the naturally occurring opiates and a double bond hydrogenation. The pivotal reaction step thereby is a N-methyl oxidation with colloidal palladium(0) as catalyst and pure oxygen as terminal oxidant. The reaction produces a 1,3-oxazolidine intermediate, which can be readily hydrolyzed to the corresponding secondary amine. Different reaction sequences and various phenol protection groups were explored. The most direct route consumes only H2, O2 and H2O as stoichiometric reagents and produces only H2O as by-product. Challenges inherent in gas-liquid reactions with oxygen as oxidant were addressed by developing a continuous flow process.
Modelling the volume change of saturated fine-grained soils under cyclic temperatures

Abstract New thermomechanical models for saturated soils recently developed in the literature very well capture the thermal cyclic deformations of normally consolidated (NC) soils, but this is not the case for slightly overconsolidated (OC) soils. To improve this, a framework based on the reference line (RL) and thermal stabilisation line (TSL) is proposed in the e-ln(p) plane. Whatever the applied thermal solicitations, monotonic or cyclic, the thermoplastic volumetric strains of slightly OC soils are easily predicted from their NC states using the RL and TSL lines concept. It should be noted that the TSL already exists in the literature but requires at least three tests at different over consolidation ratios (OCRs) for its calibration. For this purpose, a simple method is also proposed for determining the TSL line explicitly from the total deformation recorded at the end of the thermal cyclic test (on NC sample). In this way, the number of tests is reduced from three to one. Besides, to better predicting the thermomechanical behaviour of saturated soils, the hardening law is calculated independently for both thermal and mechanical loading cases. Finally, the proposed model is compared with existing recent models as well as experimental data from the literature.
Formulation and evaluation of analgesic activity of polysorbate 80-coated loperamide liposomes in mice

Purpose : To deliver loperamide (Lp) into mice brain using polysorbate 80 (PS80)-coated liposomes that inhibits P-glycoprotein (P-gp) efflux. Method : Lp loaded liposomes were prepared by reverse phase evaporation technique using lecithin (Lec) and cholesterol (Ch). The efficacy of PS80-coated Lp liposomes (PLs) in mice was evaluated using central analgesic models (Eddy’s hot plate method and tail immersion test) and peripheral analgesic model (acetic acid-induced writhing). Results : PLs showed maximum possible response (MPR) of 58.33 % at 60 min in Eddy’s hot plate study. In the tail immersion test, PLs showed MPR of 67.64 and 69.24 % at 60 and 90 min, respectively, relative to control group. This confirms the potential of PLs to deliver Lp to the brain by inhibiting P-gp efflux. Dose response study using tail flick method confirmed the minimum Lp dose (25 μg/kg, i.v) required to achieve central analgesic activity using PLs. Conclusion : PS80-coated Lp loaded liposomes (PLs) possess a good potential to inhibit P-gp efflux of Lp from brain, and also exhibit both central and peripheral analgesic activity. Keywords : Loperamide, Polysorbate 80, P-glycoprotein (P-gp), Analgesic activity
Tourism and local growth in Italy

ABSTRACT Economic theory and the empirical literature are not conclusive on the relationship between tourism and economic growth. In this paper we estimate the impact of foreign tourists’ spending on value added per capita growth in the Italian provinces, using various econometric strategies. The overall results show that the effect is positive and statistically significant, but modest in economic terms. The impact is larger for the less developed provinces, and null for those that showed the highest tourist revenues per inhabitant at the beginning of the period, suggesting that congestion phenomena may occur.
Very large scale integration implementation of seizure detection system with on-chip support vector machine classifier

Epilepsy is one of the most common neurological disorders; it affects millions of people globally. Because of the risks to health that it causes, the study and analysis of epilepsy have been given considerable attention in the biomedical field. In a neurological diagnosis, an automated device for detecting seizures or epilepsy from an electroencephalogram (EEG) signal has a significant role. This research work proposes a very large scale integration implementation system for the automatic detection of seizures. Before classification, feature extraction was performed by discrete wavelet transform (DWT) and on ‐ chip classification was performed by a linear support vector machine. The polyphase architecture of Daubechies fourth ‐ order wavelet three ‐ level DWT was used to minimize computational time. The systolic array architecture ‐ based support vector machine classifier using parallel processing helps to minimize the computational complexity of the proposed method. This research work uses an open access EEG dataset. Hardware implementation was done on a field ‐ programmable gate array (FPGA). Efficient results were produced compared with the existing system on chip (SoC) and FPGA seizure detection systems.
Evaluation of True Seed Shallot Varieties for Yield and Yield Components

Shallot (Allium cepa var. ascalonicum Backer) is an important vegetable crop cultivated by smallholder farmers for consumption and income generation in Ethiopia. However, scarcity of high yielding varieties as well as lack of superior planting material seriously constrains productivity of the crop. Research project was initiated aiming at studying adaption of true seed shallot for yield and components. A series of experiments were conducted using the randomized complete block design to identify the appropriate variety for production of bulb yield. The combined analysis of variance results for marketable bulb yield (kg/plot), unmarketable bulb yield (kg/ha), total bulb yield (kg/plot) and total bulb yield (t/ha). The results showed that the mean squares for main factors of genotype and year as well as interaction of genotypes x year were significant for marketable bulb yield (kg/plot). The overall marketable yield range of the shallot varieties was from 256.56- 171.49qtha-1 and the average number of splits per plants ranged from 8- 4.72. Improved Minjar shallot variety showed its superiority in marketable bulb yield (kg/plot), total bulb yield (kg/plot) and total bulb yield (t/ha) yields as compared to other varieties. Therefore, as there was no significant yield advantage between these varieties from true seed study area, so the experiment could be repeated across locations to come up with good conclusion for recommendation.
Social Media Usage by Entrepreneurs – A review paper.

This paper aims to build a review of the literature on the field of Entrepreneurs in business. This literature review will provide an archive of past research points and methodologies related to the studies of the reach and engagement that affect the use of social media for entrepreneurs to explore, analyse and develop a clear understanding of the different research topics and methodologies implemented in published articles. The paper also tries to understand the researches done on Women Entrepreneurs and try to find a research gap combining the two phenomena. Keyword: Entrepreneurs, Social Media Advertising, Social Media. Introduction Women Entrepreneurship in India has been uplifted in recent years. There have been numerous problems faced by Women to overcome and place themselves equal in a society dominated by men. Women were not given a platform where they could do business and also carry out the responsibilities that the Indian society puts upon a woman. (Siddiqui, 2012) Women Entrepreneurs are defined as “the women or a group of women who initiate, organize and operate a business enterprise”. (Kaushik, 2012) Social media has changed the marketing mix and the way businesses advertise and market their products/services. Social media is used to engage with customers, spread awareness about product availability, information on offers, and consumer purchase decisions also take place on social media. (Kumar et al., 2016) Research Methodology This research has been carried with a qualitative longitudinal approach. This study has helped in understanding the varied literature available and the gap that exists in the chosen topic. Research Scope The Scope of the research is to study literature in the areas of Social Media Usage by the business owner, companies, and brands as well as to understand the studies carried out on Women Entrepreneurs. Journal of Contemporary Issues in Business and Government Vol. 27, No. 2,2021 https://cibg.org. au/ P-ISSN: 2204-1990; E-ISSN: 1323-6903 DOI: 10.47750/cibg.2021. 27.02. 546 5386 Objectives 1. To find the variables of Usage of Social Media. 2. To examine which demographics, theories, research methodology, and geographical areas have been covered, used, found, or worked upon in past studies. 3. Issues emerging from past studies.
New psychropotid species (Echinodermata, Holothuroidea, Elasipodida) of the Western Pacific with phylogenetic analyses

﻿Abstract Holothurians of the family Psychropotidae are widely distributed but remain the least studied deep-sea holothurians. On an expedition to the Western Pacific, six psychropotid specimens were collected by the Jiaolong Human Operated Vehicle (HOV). Through morphological examination, four of them were identified as a new species, Benthodytesjiaolongisp. nov., which was characterized as having minute papillae, a narrow brim, and a terminal anus; and the ossicles were rods and primary crosses. The remaining two specimens were identified as Psychropotesverrucicaudatus Xiao, Gong, Kou & Li, 2019, first recorded at the Kyushu-Palau Ridge. The phylogenetic analysis showed that B.jiaolongisp. nov. and P.verrucicaudatus were embedded in the clades Benthodytes and Psycheotrephes, respectively, and that Benthodytes was paraphyletic. The new species clustered with Benthodytessanguinolenta and was separated from the clade containing the other Benthodytes species.
INTELLECTUAL INSTRUMENTAL ANALYSIS IN ECONOMIC SECURITY MANAGEMENT OF THE ENTERPRISES FOR COUNTERING RAIDING

231 ISSN 2306-4994 (print); ISSN 2310-8770 (online) UDC 621:65:339.137. 2 Kuzmynchuk N. Doctor of Economics, Professor, Professor of the Department of Marketing, Management and Entrepreneurship, V. N. Karazin Kharkiv National University, Ukraine; e-mail: nkuzminchuk@karazin.ua; ORCID ID: 0000-0002-9844-3429 Kutsenko T. Ph. D. in Economics, Associate Professor, Associate Professor of the Department of Marketing, Management and Entrepreneurship, V. N. Karazin Kharkiv National University, Ukraine; e-mail: chkutsenko@gmail.com; ORCID ID: 0000-0001-7800-2987 Strygul L. Ph. D. in Economics, Associate Professor, Associate Professor of the Department of Economic Analysis and Accounting, National Technical University «Kharkiv Polytechnic Institute», Ukraine; e-mail: Larysa.Strygul@khpi.edu. ua; ORCID ID: 0000-0003-2343-4234 Terovanesova O. Ph. D. in Economics, Associate Professor of Department of Marketing, Management and Entrepreneurship, V. N. Karazin Kharkiv National University, Ukraine; e-mail: a.u. terovanesova@karazin.ua; ORCID ID: 0000-0001-9323-8699 Klepikova S. Ph. D. in Economics, Associate Professor of Departments of International Business and Finance, National Technical University «Kharkov Polytechnic Institute», Ukraine; e-mail: klepikovasv75@gmail.com; ORCID ID: 0000-0002-3218-943X
THE STUDY OF INNOVATION CAPABILITY, CROSS-CHANNEL CAPABILITY AND FIRM PERFORMANCEOF VIETNAMESE RETAIL ENTERPRISES

This study aims to investigate the impact of innovation capability on cross-channel capability and the effect of cross-channel capability on firm performance of an organization. On the base of literature review, this study suggests a research hypothesis model, and uses quantitative research method to examine. Research data is collected from 201 Vietnamese retail enterprises. The Structural Equation Modeling (SEM) by Smart-PLS is used for data analysis. The research result indicates that there is a significant and positive impact of innovation capability on cross-channel capability. Besides that, the finding shows that cross-channel capability plays an important role in improving firm performance. Based on the findings, some recommendations are suggested to enhance firm performance by generating cross-channel capability and innovation capability of Vietnamese retailers.
The Role of Mindfulness and its Dimensions in Predicting of Students’ Psychological Well-being

Background: Well-being is the biggest and most important goal of human being life that affects a person's health more than anything else does. This study aimed to investigate the role of mindfulness and its dimensions in students' psychological well-being. Methods: The research method was correlation and the statistical population included all students of Kharazmi University. The sample consisted of 240 students (126 females and 114 males) who were selected by the convenience sampling method. The research instruments were the Five Facet Mindfulness Questionnaire (FFMQ) (Bauer et al. 2006) and Ryff's scale of the Psychological Well-Being (Ryff, 1980). Data analysis was performed using independent groups of t-test, Pearson correlation coefficient, and stepwise regression. Results: The obtained results showed that there is no significant difference between male and female students in the variables of mindfulness and psychological well-being. There is a positive and significant correlation between psychological well-being and the overall score of mindfulness as well as the dimensions of observing, describing, acting with awareness, and non-reactive. Conclusions: The variables of acting with awareness and describing mindfulness dimensions were able to explain about 24% of the variance of psychological well-being in two steps. Keywords: Mindfulness, Psychological well-being, Students
Reducing conversion range in wavelength exchange networks

All-optical cross-connects need to perform switching not only in the space domain, but also in the wavelength domain. Switching in the wavelength domain requires wavelength converters (WCs), and WCs capable of simultaneously performing multiple wavelength conversions have been invented. We can use multiple stages of such WCs to form a wave-length exchange network to allow an even larger number of simultaneous wavelength conversions. However, WCs with a full conversion range are often difﬁcult to implement. In the paper, we develop new techniques and theories that can reduce the conversion range requirement and still maintain the full connectivity of all-optical space/wavelength switches.
A low complexity STPAP algorithm based on an alternating polarization-sensitive array

Background Space–time adaptive processing (STAP) has been widely used in the fields of communication, radar, and navigation anti-jamming. However, the traditional scalar arrays used with STAP have limitations because they can only obtain spatial information. To improve the performance, joint space–time filtering is proposed using an alternating polarization-sensitive array (APSA). Compared to a dual-polarization sensitive array (DPSA), this array can provide polarization information and reduce the computational complexity. Methods An alternating polarization-sensitive array space–time polarization adaptive processing (APSA-STPAP) algorithm is proposed based on the linear constraint minimum variance (LCMV) criterion. Different from the traditional LCMV criterion, the space–time polarization joint steering vector of the desired and interference signals is used as the constraint matrix, and the “set 1” and “set 0” conditions are used as the constraint conditions to effectively suppress the interference signals and enhance the desired signals. Results Simulation results are presented which show the following. (1) Filtering with the proposed APSA-STPAP algorithm is similar to that with the DPSA-STPAP algorithm. From the perspective of the spatial, time, and polarization domains, it can form nulls in the directions of the interference and realize space–time-polarization adaptive processing. (2) The APSA-STPAP algorithm has lower computational complexity than the DPSA-STPAP algorithm. Moreover, the dipole of the alternating polarization sensitive array is halved, which reduces the coupling effect between electric dipoles and makes implementation easier. (3) The APSA-STPAP algorithm maintains good anti-interference performance even when the electric dipole and anti-jamming degrees of freedom are reduced by half, and the anti-jamming performance is similar to that of a polarization-sensitive array. There is little difference between the anti-interference performance of the APSA-STPAP and DPSA-STPAP algorithms when SNR ≥ − 10 dB.
Adsorption of volatile polonium and bismuth species on metals in various gas atmospheres: Part I – Adsorption of volatile polonium and bismuth on gold

Abstract Polonium isotopes are considered the most hazardous radionuclides produced during the operation of accelerator driven systems (ADS) when lead–bismuth eutectic (LBE) is used as the reactor coolant and as the spallation target material. In this work the use of gold surfaces for capturing polonium from the cover gas of the ADS reactor was studied by thermochromatography. The results show that gaseous monoatomic polonium, formed in dry hydrogen, is adsorbed on gold at 1058 K. Its adsorption enthalpy was calculated as –250±7 kJ mol−1, using a Monte Carlo simulation code. Highly volatile polonium species that were observed in similar experiments in fused silica columns in the presence of moisture in both inert and reducing gas were not detected in the experiments studying adsorption on gold surfaces. PoO2 is formed in both dry and moist oxygen, and its interaction with gold is characterized by transport reactions. The interaction of bismuth, present in large amounts in the atmosphere of the ADS, with gold was also evaluated. It was found that bismuth has a higher affinity for gold, compared to polonium, in an inert, reducing, and oxidizing atmosphere. This fact must be considered when using gold as a material for filtering polonium in the cover gas of ADS.
Superordinate Word Knowledge Predicts Longitudinal Vocabulary Growth

Does knowing certain words help children learn other words? We hypothesized that knowledge of more general (more superordinate) words at time-1 would lead to faster vocabulary growth as measured through vocabulary checklists administered at later timepoints. We find that this is indeed the case. Children who have similar vocabularies at time-1, but differ in their productive knowledge of more general words such as "animal", "picture", and "get" go on to have different rates of word learning. Knowledge of more general words is associated with faster vocabulary growth, particularly of words semantically related to the superordinate terms they are reported to produce. This positive relationship between knowledge of more general words and word learning remains even when controlling for measures of verbal and nonverbal intelligence.
An Analysis of Cohesion and Coherence of Descriptive Texts Written by Junior High School Students

The study aims to investigate the cohesion and coherence of descriptive texts written by seventh grade junior high school students. This study was conducted in the even semester of the 2019/2020 academic year during the Covid-19 pandemic. This study used a qualitative case study design, and the data were obtained from six texts representing high, middle, and low achiever students. To identify the texts’ cohesion and coherence, the grammar of textual metafunction from systemic functional linguistics (SFL), that is the theme system was used. The findings show that all students had the ability to make descriptive texts in terms of cohesion and coherence. All texts successfully used different types of themes, including topical and textual themes, and thematic progression, including the zigzag and reiteration patterns to create coherence especially at the clause level. Various cohesive devices such as reference, conjunction, lexical, and ellipsis were also used to create a cohesive text. It was also found that the texts written by high achiever students were more coherent than the texts written by middle and low achiever students due to several aspects such as the more diverse pattern and the more frequent use of pattern. In addition, the high and middle achiever texts seemed more cohesive than the low achiever texts due to the high number of cohesive devices used in the middle achiever texts, and high number of conjunctions used in the middle and high achiever texts. Based on the findings, more support is needed from teachers when teaching descriptive text to middle and low achiever students, especially in a pandemic era.