Miracle-dz/UniFAR-FTUs huggingface dataset:
γ-Fe2O3@HAP-Fe2+ NPs: An Efficient and Eco-Friendly Catalyst for the Synthesis of Xanthene Derivatives in Water

Efficient and environmentally friendly syntheses of xanthenes derivatives by using γ-Fe2O3@HAP-Fe2+ NPs as a catalyst has been carried out. The catalyst can be readily isolated by using an external magnet and no obvious loss of activity was observed when the catalyst was reused in eight consecutive runs. The procedure has several advantages, such as economic availability of catalyst, simple procedure, ease of product isolation, no harmful byproducts, less reaction time and high yields.
RMHP_A_280214 2515..2524

1College of Pre-School Education, Chongqing University of Education, Chongqing 400067, People’s Republic of China; 2Children’s Research Institute, Chongqing University of Education, Chongqing 400067, People’s Republic of China; 3Chongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing 400067, People’s Republic of China; 4Family Education Guidance Center for 0–6 Years Old, Chongqing University of Education, Chongqing 400067, People’s Republic of China; 5School of Public Health and Management, Chongqing Medical University, Chongqing 400016, People’s Republic of China
Lack of association of FKBP5 SNPs and haplotypes with susceptibility and treatment response phenotypes in Han Chinese with major depressive disorder

Abstract The identification of single-nucleotide polymorphisms (SNPs) in genes putatively related to pathophysiological processes in major depressive disorder (MDD) might improve both diagnosis and personalized treatment strategies eventually leading to more effective interventions. Considering the important role of the glucocorticoid receptor and the related FK506 binding protein 51 (FKBP51) in the pathophysiology of MDD, we aimed to investigate putative associations between variants of FKBP5, the coding gene of FKBP51, with antidepressant treatment resistance and MDD susceptibility. Nine common SNPs of the FKBP5 gene prioritized based on location and, putative or known functions were genotyped in Han Chinese population, including MDD patients with or without antidepressant-treatment resistance and healthy controls. Associations of FKBP5 SNPs with MDD susceptibility and treatment response were examined in the whole group of MDD patients, as well as in subgroups stratified by antidepressant treatment resistance, compared with healthy controls. In total, 181 Han Chinese patients with MDD and 80 healthy controls were recruited. No significant SNP or haplotype associations were observed in the whole patient group. There were nominal significant differences both for the haplotype block with SNPs in strong LD (r2 > 0.8, P = .040) and haplotype block with SNPs in moderate LD (r2 > 0.1, P = .017) between the haplotype distributions of patients with antidepressant treatment resistance (n = 81) and healthy controls, but both significances did not survive multiple testing correction. Furthermore, no specific haplotype could be observed causing a significant difference in any combination between all comparisons. No associations were observed of FKBP5 variants with MDD or antidepressant treatment response. The lack of associations might be due to the relatively small sample size of this study (power ranged from 0.100 to 0.752). A follow-up study will need larger, better phenotyped, and more homogeneous samples to draw a definitive conclusion regarding the involvement of this gene in MDD.
Determinants of prognosis in geriatric patients followed in respiratory ICU; either infection or malnutrition

Abstract Severity of illness, age, malnutrition, and infection are the important factors determining intensive care unit (ICU) survival. The aim of the study is to determine the relations between Geriatric Nutritional Risk Index (GNRI), C-reactive protein/albumin (CAR), and prognosis-mortality of geriatric patients (age of ≥65 years) admitted to intensive care unit. The study with 10/15/2020, 697 approval date, and number retrospectively registered. Between January 1, 2018 and December 31, 2019, 413 geriatric patients admitted to ICU. The patients were divided into three groups according to their age. The age group, gender, Charlson comorbidity index, intensive care scores (Acute Physiology And Chronic Health Evaluation II and Sequential Organ Failure Assessment), the infection markers (white blood cell, procalcitonin, CAR levels), malnutrition tools for each patient (body mass index, Nutrition Risk in Critically ill score, and GNRI scores) were analyzed retrospectively. Also length of stay (LOS) ICU, length of stay hospital, and 30-day mortality were recorded. Geriatric patients number of 403 was included in the study. Forty-nine (12.3%) patients had a history of malignancy, 272 (67.5%) patients had Chronic Obstructive Pulmonary Disease comorbidity. There was no difference in mortality between age groups. In patients with mortality, body mass index, had being Chronic Obstructive Pulmonary Disease history, GNRI, length of stay hospital, and albumin were significantly lower; malignancy comorbidity rate, inotrope use, modified Nutrition Risk in Critically ill score, mechanical ventilation duration, LOS ICU, Sequential Organ Failure Assessment, Acute Physiology And Chronic Health Evaluation II, Charlson comorbidity index, C-reactive protein, procalcitonin, and CAR were significantly higher. Both malnutrition and infection affect mortality in geriatric patients in intensive care. The GNRI is better than CAR at predicting mortality.
Effect of cognitive behavioral active engagement training on test item construction skills among primary school teachers in Nigeria

Abstract Background: Most classroom teachers are weak in constructing test items for assessment of students. This study examined the effects of cognitive behavioral active engagement training on test items construction skills among primary school teachers in Nigeria. Methods: We adopted a randomized pretest–posttest control group design. A total of 148 participants served as the study sample. One instrument was used for data collection. The participants were administered the instrument at 4 different times. Test construction guide was employed to implement the training. Data analysis was completed using analysis of covariance. Results The researchers found that cognitive behavioral active engagement training had a significant effect on participants’ test items construction scores as measured by test construction skills inventory at posttest, first and second follow-up stages. Conclusion The researchers concluded that cognitive behavioral active engagement training is efficacious in the improvement of test items construction skills among primary school teachers in Nigeria.
The Impact of Corporate Social Responsibility on the Financial Performance in Nepalese Commercial Banks

The main purpose of this study is to examine the impact of Corporate Social Responsibility (CSR) on Return of Assets (ROA), Return of Equity (ROE) and Earnings per Shares (EPS) of commercial banks in Nepal. This study will be of immense use to the government, financial institutions and to other stakeholders. The data is obtained from the annual reports issued by the sample banks, and the study has covered the period of 2010-2018. The impact of ROE, ROE and EPS was tested on CSR. Similarly, to verify relationship between ROA, ROE, EPS and CSR the simple regression model was used. The regression model shows that ROA of Nepal Investment Bank and Standard Chartered Bank Nepal have no significant relationship with corporate social responsibility. ROE of Nepal Investment Bank has a significant relationship but Standard Chartered Bank Nepal has no significant relationship with CSR. Similarly, EPS of Nepal Investment Bank has a significant relationship but Standard Chartered Bank Nepal has no significant relationship with CSR. The study recommends that the financial institutions i.e. commercial banks should follow the directives given by the Central Bank (Nepal Rastra Bank) in the Monetary Policy for the F/Y 2016/17, in which Banks and Financial Institutions (BFIs) are asked to spend at least one percent of their profits in CSR activities and also CSR should be seen as an investment reported as such in financial statements of the financial institutions.
Facilitating Entrepreneurial Creativity through Innovation Networks: A Digital Entrepreneur Perspective

: Nowadays digital entrepreneurs outreach to achieve a better competitive position as well as gain the rewards from social media environment. This increasing attention for a range of alternative approaches in emerging technological fields has given rise to produce solutions aimed at established knowledge about network development in the business activities. There are significant increasing number of women entrepreneurship globally, the analysis therefore focuses on individual women entrepreneurs in entrepreneurial creativity on digital platforms at the organization level rather than on capacity for execution in global scale. To theorize the entrepreneurial creativity in contribute entrepreneurial success to digital entrepreneur perspective, our research focused on Thailand, according to how Thailand has a diversified industrial economy. Most importantly, the great strength of its economy lies in the presence of the fashion sector as innovation have a unique context regard to their creative nature, continuous and almost infinite process within the short product life cycles and competitive nature. To explore the current digitalization phenomenon, triangulated data were collected from primary and secondary sources through the observation, semi-interview and extant literature with 3 founders as the case studies. The result showed that the integration of creativity and innovation networks are incorporated in all entrepreneurial activities within 5 stages includes: 1) opportunity recognition, 2) idea generation, 3) idea validation, 4) commercial implementation and technology utilization as well as 5) sustain business growth. Entrepreneurial creativity plays an important role throughout entrepreneurial networking process from starting point
Biological , studies of some herbal and plants formula on the healthy status of obese female Rats

The effects of Portulaca, Thyums, Nigella seeds, Origanum, Linum, Elettaria, Rosmary, Zingiber, Cinnamoum, Oat, Pomegranate Peel and Vitellaria Paradoxa on biological, biochemical and histological parameters of obese rats were studied. Thirty-Five adult female albino rats of SpragueDawely, weighting (190±5g) and age (3 months). All rat fed on a basal diet for 15 days then rats fed on high caloric diet (contained 25% fat) for 15 consecutive days to induce obesity and rats divided into 7 groups, one group fed on basal diet as control group, while the left six groups were given daily plants and herbal formula at the level 10% (50% plant and 50% tested herbs) for 28 days. Results showed that body weight gain was markedly lower especially in the group 7, lowered concentrations of total cholesterol, triglycerides, LDLc, VLDL-c and decreased level of AST and ALT enzymes and a in case of HDL-c concentrations were significant increased. Histopathological examination showed amelioration of histopathological lesions seen in liver of obese rats in control group while rats when received the herbs and plants formula helped to increase the accumulation of fat in the liver. So, from this study, it could be concluded that intake of formula of tested herbs and plants powder at 10 % can be useful for improving the body weight and the other parameters for obese female rats and histopathological examination showed amelioration of histopathological lesions seen in liver of obese rats when received the herbs and plants formula.
Industry 4.0 technology providers supply chain: the moderating role of supply chain actors

This work investigates the moderating role of four supply chain actors (customers, suppliers, complementors and R&D centers) for the provision of Industry 4.0 technologies. For this we employ a survey with 77 technology providers SMEs from an electro-electronic sector in southern Brazil. As remarking results, we found evidence that collaboration with companies of the same sector (complementors) can be advantageous to provide Industry 4.0 solutions.
Improved Resistive Switching of Ru: SiO2/TiO2 Based Memristive Devices

In this paper, the resistive switching behaviors of Ru:SiO2/TiO2 based memristive devices have been investigated. It is found that the random and uncontrolled formation of conductive filaments in the Ru/Ru:SiO2/p++-Si devices are crucial to realize a filamentary resistive switching. It is also found that the resistive switching behavior of Ru/Ru:SiO2/p++-Si devices could be significantly improved via inserting a TiO2 interfacial layer as in the form of Ru/Ru:SiO2/TiO2/p++-Si device structure. In the modified device, strong and stable conductive filament formation could be realized when the top electrode is positively biased. In addition to nonvolatile memory applications, an analog-type switching behavior has also been realized in our newly proposed resistive switching device. The current obtained analog conductance modulation is essential for simulating synaptic functions in electronic devices for neuromorphic applications.
Using Cauchy theorem to compute complicated real integrals

As the central object in the theory of complex analysis, Holomorphic functions have many elegant mathematical properties. Holomorphic functions are extremely valuable because, on the one hand, they are unexpectedly common, and on the other hand, they may be used to establish extremely powerful theorems. For example, To establish theorems like the prime number theorem, analytic number theorists commonly create holomorphic or meromorphic functions that hold number-theoretic information, such as the Riemann zeta function. Given knowledge about a holomorphic function in a relatively small part of its domain, one may extract information about the function’s behavior in other a priori unrelated sections of its domain, according to Cauchy’s integral formula and the identity theorem (and this is what allows things like contour integration to work). Due to difficulties in obtaining primitives of some real function, the fundamental theorem of Calculus does not work in most cases. In this article, we review the Cauchy theorem and use it as a tool to compute several real integrals.
Principles, Detections and Applications of Cosmological Gravitational Waves

Contemporarily, the gravitational wave has played an important role in the field of astronomy. A systematic review of the gravitational wave is presented in this paper. Primarily, the principle of gravitational waves is introduced in both Newton and Einstein’s concept of gravity. Besides, we deduced the solution of Einstein’s field equation. Moreover, we described the detection of gravitational waves with the mechanisms of the two gravitational wave detectors LIGO and Virgo Finally, the applications of gravitational waves are discussed in detecting black hole mergers, neutron star mergers, gamma-ray burst, and core-Collapse Supernova explosion. The gravitational wave could contribute to more scientific findings in the future and solve more mysteries of the Universe.
Wetland restoration yields dynamic nitrate responses across the Upper Mississippi river basin

Wetland restoration is a primary management option for removing surplus nitrogen draining from agricultural landscapes. However, wetland capacity to mitigate nitrogen losses at large river-basin scales remains uncertain. This is largely due to a limited number of studies that address the cumulative and dynamic effects of restored wetlands across the landscape on downstream nutrient conditions. We analyzed wetland restoration impacts on modeled nitrate dynamics across 279 subbasins comprising the ∼0.5 million km2 Upper Mississippi River Basin (UMRB), USA, which covers eight states and houses ∼30 million people. Restoring ∼8,000 km2 of wetlands will reduce mean annual nitrate loads to the UMRB outlet by 12%, a substantial improvement over existing conditions but markedly less than widely cited estimates. Our lower wetland efficacy estimates are partly attributed to improved representation of processes not considered by preceding empirical studies − namely the potential for nitrate to bypass wetlands (i.e., via subsurface tile drainage) and be stored or transformed within the river network itself. Our novel findings reveal that wetlands mitigate surplus nitrogen basin-wide, yet they may not be as universally effective in tiled landscapes and because of river network processing.
Advancements in Applications of Quantum Entanglement

Quantum entanglement, an unknown “spooky action” that confused scientists like Einstein, has become one of the research hotspots in quantum mechanics. Based on the technique, applications distributed among diverse fields have appeared, e.g., cryptography, computer science, distant communication, etc, which has attracted interest from researchers in varied fields. This article reviews the basics of manifestations of quantum entanglement, namely quantum key distribution, quantum computation, and quantum teleportation. An overview of milestones is presented, e.g., Bennett-Brassard 1984 protocol, entanglement-based quantum computers, Shor’s and Grover’s algorithm as well as the process of transporting quantum states at an unprecedented speed. Moreover, the implementations of quantum entanglement are demonstrated, evolving these technologies to higher levels. Finally, a brief conclusion and expectations for future developments on entanglement are given.
Microfluidic System for Cell Sorting

The need for efficient cell sorting, which is a useful technique in medical and biological research, has boosted the development of microfluidic cell sorter. This review paper concludes the basic principle of microfluidic sorter which covers active and passive sorting techniques. The work process, sorting efficiency, advantages, disadvantages, and avenue for improvement are explored for each type by introducing several typical sorters. The industrial implementation and potential development are also conveyed. In conclusion, developing efficient microfluidic cell sorter offers a greater control over cell distribution and is fundamental in realizing efficacious cell sorting systems.
Tensions between measurements of the Hubble constant from the early and late Universe

Hubble constant (H0) is one of the most important parameters in cosmology. There are mainly two ways to determine the value of Hubble constant, which measure the properties of early universe and the late universe, namely cosmic microwave background radiation (CMB) and Type Ia supernovae (SNe Ia). Those who had used these two methods to measure the Hubble constant won the Nobel Prize in Physics respectively, in 1978 and 2011. This article introduces the principle of accelerating universe and the methods to measure the Hubble constant. We analyze each method and discuss the uncertainties of them. In addition, we investigate possible reasons for Hubble constant discrepancy based on previous studies. We discuss about the conclusion and prospects of Hubble constant measurement.
Corrosion Inhibition Behavior of 9-Hydroxyrisperidone as a Green Corrosion Inhibitor for Mild Steel in Hydrochloric Acid: Electrochemical, DFT and MD Simulations Studies

A green corrosion inhibitor namely, 9-Hydroxyrisperidone (HRD) was investigated for their influence on mild steel corrosion in 1 M HCl using weight loss, Tafel polarization, electrochemical impedance spectroscopy (EIS) and surface morphology techniques. Quantum chemical calculations were also conducted to corroborate experimental findings. The tested compound is mixed type inhibitor following Langmuir adsorption isotherm and involved competitive physisorption and chemisorption mechanisms. The results from electrochemical impedance spectroscopy tests reveal an increase in polarization resistance. Scanning Electron Microscopy (SEM) analyses of steel surfaces in acidinhibitor solutions showed that tested compound protects mild steel surface effectively. The inhibition property was further elucidated by theoretical approaches; quantum chemical calculation and Molecular Dynamic (MD) simulation.
Algorithm for best Relay Selection in Hybrid Relay Cooperative Cognitive Radio Relay Networks

The performance of the best relay selection on Hybrid relay mode in cognitive radio relay networks is studied. Some important factors, such as the bit error ratio (BER), the outage probability, and the average channel capacity, are analyzed in this paper. The impact of spectrum sensing process as well as the spectrum utilization efficiency of primary user on the performance of Hybrid selection-based cognitive radio relay networks is considered. The proposed scheme is validated by simulations by using MATLAB, and the analyses of closed-form expressions for some figures of merit, e.g., the outage probability, the BER, and the average channel capacity, are all consistent with the outcomes of simulations. The simulations also prove that the performance of the proposed scheme is impacted considerably by some other critical parameters, such as the number of relays. In this paper the hybrid decode and forward (DAF) and amplify and forward (AF) using Huffman coding is used for a single relay and multiple relays, the whole arrangement is done in MATLAB environment. It is noticed form the result and discussions that our proposed approach is able to achieve less bit error rates and high capacity to reduce the vulnerabilities in cognitive radio networks (CRN).
Financial Crises and Bilateral Foreign Direct Investment Flows

Despite impressive studies on financial crises consequences and foreign capital flows, by large the research done has examined these economic phenomenons separately without addressing their nexus. This paper aims at bridging this gap by examining the impact of financial crises on bilateral foreign direct investment (BFDI). Financial turmoil reshapes the perception and magnitude of BFDI flows in both host and home countries; host countries governments see in FDI a mean for overcoming the sluggish economic situation and hence become eager to stimulate FDI inflows, while for the same reasons home countries governments, and investors become more cautious about their decisions to invest abroad. This paper addresses in particular the impact of financial crises on FDI in both host and home countries. To that end the paper uses a panel data covering the period 1985-2008 on home countries, as presented by the six largest FDI outflow, and 42 host countries. Empirical analysis applies the system GMM estimator to a gravity model of BFDI flows. The key findings in this paper are that financial crises exerts a negative impact on BFDI, a generalized fact that applies to all financial disturbances that took place during the last 23 years. Second the magnitude of the negative shock of financial crises on FDI differs by type and origins causing the financial crises.
Tunable Quantum Wavelet Transform and Improved PSO Based Novel Evolutionary Extreme Learning Machine for Epilepsy Detection

— In our present work, EEG signals of various classes are broken down in Tunable Quantum Wavelet Transform (TQWT) system. The TQWT decays the EEG signals into sub-groups and arranged them into different descending order of frequencies. The nonlinearity of the EEG signals is evaluated by processing from the acquired features, which is additionally utilized as an element for ordering the typical classes of EEG signals. In this work, EEG signals are arranged in a solitary Random forest (RF) classification issues. In the first place classification is done in seizure classes, and the other one is the typical, seizure free classes. Features got from the EEG signal of these classes are feeded to the contribution of arbitrary Random Forest (RF), classifier prepared with improved PSO (IPSO). For seizure free and seizure classes, we accomplished 99.5581% precision, 98.5261% of Sensitivity and 99.6169% of Specificity and 99.0674% of Gmean esteem with RF classifier and TQWT feature extractor .