Miracle-dz/UniFAR-FTUs huggingface dataset:
Suisse Stock Return, Macro Factors, and Efficient Market Hypothesis: Evidence From ARDL Model

This study investigates the long-run equilibrium relationship between Suisse stock market (SSM) prices and a set of macroeconomic variables (inflation, interest rate, and exchange rate) using Monthly data for the period 1999:1 to 2018:4. Different specifications and tests will be carried out, namely unit root tests (ADF and PP), Vector Auto Regression (VAR) to select the optimal lag length and for Granger causality and Toda and Yamamoto (TY) Wald non causality testing, VEC Model and (Johansen, 1988)’s test for no cointegration, and ARDL framework and FPSS test of no cointegration hypothesis. Once ECM representation of the ARDL model is used, it confirms temporal causality between (inflation, interest rate, exchange rate) and the stock price. Finding say that there is dynamic short-run adjustment and long-run stable equilibrium relationship between considered macroeconomic variables (except exchange rate) and the stock prices in the SSM. This imply that the SSM is informationally inefficient because publicly available information on macroeconomic variables (inflation and interest rate) can be potentially used in predicting Suisse stock prices.
Thermal Responses in Japanese Pearl Oysters, Pinctada fucata martensii

In order to examine the thermal responses in pearl oysters, both the mRNA expression levels of heatshock protein (Hsp) in their tissues and changes in the mineral levels of their hemolymph were analyzed using heattreated and heat-untreated pearl oysters. Pearl oysters that live in Tsukumo Bay on the Noto Peninsula were used as experimental materials. Pearl oysters kept at 25 C in artificial seawater were exposed to high temperatures (30 C or 35 C) for 1 h. After exposure, the pearl oysters were transferred into the seawater at 25 C and kept for 4 h. Thereafter, the hemolymph was collected by inserting a syringe into the adductor muscle of the heat-treated pearl oyster, and then hemocytes were separated from hemolymph by centrifugation. In addition to hemocytes, the mantles and gills were taken from heat-treated pearl oysters to analyze Hsp mRNA expression. The collected hemolymph was used to analyze its mineral concentration. The data of pearl oysters treated at a high temperature (30 C or 35 C) were compared with those of pearl oysters kept at the initial temperature (25 C) as a heat-untreated control. First, the mRNA expressions of several Hsps (Hsp20, Hsp40, Hsp70, and Hsp90) were analyzed using the hemocytes, mantles, and gills to examine the thermal responses of pearl oysters. With heat treatment, the mRNA expressions of all Hsps (Hsp20, Hsp40, Hsp70, and Hsp90) used in the present study were significantly increased. Especially, Hsp20 mRNA expression in hemocytes, mantles, and gills was remarkably increased by heat treatment. The responsiveness of Hsps mRNA expression was greatly higher at the rate of increase at 35 C than at the rate of increase at 30 C. Among the tissues used in the present study, the mRNA expression levels of Hsp20, Hsp40, Hsp70, and Hsp90 were higher in gills than in hemocytes and mantles. Second, we analyzed the mineral concentrations of hemolymph in the heat-treated pearl oysters. The calcium, magnesium, sodium, chlorine, and potassium ion levels in the hemolymph of pearl oysters kept at 35 C increased significantly as compared with those in the initial hemolymph of pearl oysters kept at 25 C. This suggests that heat treatment influences excretory organs such as gills and kidneys. The fact that the expression level of Hsps was highest in gills, which function as respiratory and International Journal of Zoological Investigations Contents available at Journals Home Page: www.ijzi. net Editor-in-Chief: Prof. Ajai Kumar Srivastav Published by: Saran Publications, Gorakhpur, India 372 excretory organs, supported the influences of the excretory system. This study is the first report to demonstrate changes in both the monovalent and divalent ions of hemolymph in response to heat treatment in Japanese pearl oysters. We plan to investigate the detailed mechanism of the above mineral regulation together with HSP expressions in the near future.
Use of web 2.0 technologies for teaching and learning in selected Federal Universities in Southwest Nigeria.

iii ACKNOWLEDGEMENT. vi DEDICATION. vii TABLE OF CONTENTS . viii LIST OF TABLES . xiv LIST OF FIGURES . xvi LIST OF APPENDICES . xvii LIST OF ABBREVIATIONS AND ACRONYMS. xviii CHAPTER ONE: INTRODUCTION AND BACKGROUND TO THE STUDY. 1 1.1 Background to the Study. 1 1.1.1 Use of Web 2.0 Technologies in TAL. 4 1.1.2 Web 2.0 Use in Nigerian Universities for TAL Purposes. 7 1.2 Contextual Setting of the Study. 8 1.3 Statement of the Problem. 10 1.3. 1 Objectives of the Study. 11 1.3. 2 Research Questions. 12 1.3. 3 Research Hypotheses. 12 1.4 Significance of the Study. 13 1.5 Delimitation of the Study. 13 1.6 Theoretical Framework. 14 1.7 Preliminary Literature Review. 15
Biogeography of a neotropical songbird radiation reveals similar diversification dynamics between montane and lowland clades

Continental evolutionary radiations provide opportunities to understand how landscape evolution and biotic factors interact to generate species diversity. Additionally, understanding whether diversification dynamics differ between montane and lowland environments is a long‐standing question with few comparative analyses in the Neotropics. To address these questions, we investigated the biogeographical patterns and the evolutionary processes underlying the diversification of a songbird genus, and compared diversification dynamics of clades occurring in lowland and montane Neotropical habitats.
Utilizing Hyper-Spectral No-Image Measurement to Assess the Development of disease severity of Cercospora Leaf Spot disease in sugar beet canopy

: Sugar beet ( Beta vulgaris ) in Egypt is second important source sugar. In Egypt sugar beet is attacked by Cercospora leaf spot (CLS) caused by Cercospora beticola fungus. Remote sensing and GIS represent spectral signature and vegetation indices were used in the present study to determine the ability of these technique in the plant pathology sector.spectral signature and vegetation indices associated with infection of sugar beet crops by CLS disease using Hyperspectral No-image measurements SpectraPen SP100. Depend on the reaction between selecting wavelength values (R490, R560, R655, R705, R740 and R775) with canopy of sugar beet plants. Using spectral signature and vegetation indices (NDVI, SR, OSAVI, AR1 and AR2) result revealed that succeeded in determining the change in plant infected canopy causing by CLS disease of sugar beet. The result showed that spectral reflectance in selecting wavelength can discriminating between healthy and infected plant which represented (visible, red-edge and near-infrared) which have the best result to detect CLS and high correlation with disease severity of CLS. Result showed that. Result showed that vegetation indices NDVI have the highest correlation followed by AR1 and AR2.
Does Self-Employment Contribute to Immigrants’ Economic Integration? Examining Patterns of Self-Employment Exit in Belgium

This article assesses whether self-employment can help immigrants overcome some of the ongoing challenges they face in highly segmented labor markets, by investigating the reasons behind native-immigrant differences in exit from self-employment. While a considerable literature examines the factors influencing immigrants’ decision to become self-employed, surprisingly few studies address the factors that shape exit from self-employment. This article studies native-immigrant differences in self-employment exit, drawing on longitudinal data (2008–2017) for Belgium, and adds to previous research on immigrant self-employment by considering second-generation and female immigrant business owners. Results show that immigrants were much more likely than natives to become unemployed or leave the labor force after a period in self-employment, supporting the idea that immigrants are pushed out of self-employment. Second-generation immigrants generally had better self-employment outcomes than first-generation immigrants, whereas female immigrants sometimes experienced a “double disadvantage. ” Weaker attachment to the labor market preceding self-employment entry helps explain why immigrants had worse self-employment outcomes than natives in Belgium. Hence, self-employment may not provide an independent path to economic integration that allows immigrants to overcome the hurdles they face in the labor market. Instead, how people fared in the labor market before becoming self-employed strongly influenced their success as self-employed workers. This article highlights the policy complexity of immigrants’ labor market integration in Western European labor markets. As it shows, it is not enough to promote self-employment as an easy way out of immigrants’ labor market exclusion. Instead, more is needed to counteract immigrants’ problematic labor market outcomes.
Caregiving concerns and clinical characteristics across neurodegenerative and cerebrovascular disorders in the Ontario neurodegenerative disease research initiative

Caregiving burdens are a substantial concern in the clinical care of persons with neurodegenerative disorders. In the Ontario Neurodegenerative Disease Research Initiative, we used the Zarit's Burden Interview (ZBI) to examine: (1) the types of burdens captured by the ZBI in a cross‐disorder sample of neurodegenerative conditions (2) whether there are categorical or disorder‐specific effects on caregiving burdens, and (3) which demographic, clinical, and cognitive measures are related to burden(s) in neurodegenerative disorders?
Food image generation and appetite evaluation based on appetite factor analysis by image features

In recent years, due to the COVID-19 pandemic and the widespread use of technology, the Internet and food and beverage websites are often used for take-out and food and beverage reservations, and information such as reviews and photos on these platforms has a significant impact on revenue. In this study, to develop an appetite-enhancing application, we focus on food images as a factor that strongly influences appetite and analyze what image features stimulate appetite. Then, based on the results of the analysis, we generate appetizing images using GAN (Generative Adversarial Network).
Lasers in Live Cell Microscopy

Due to their unique properties—coherent radiation, diffraction limited focusing, low spectral bandwidth and in many cases short light pulses—lasers play an increasing role in live cell microscopy. Lasers are indispensable tools in 3D microscopy, e.g., confocal, light sheet or total internal reflection microscopy, as well as in super-resolution microscopy using wide-field or confocal methods. Further techniques, e.g., spectral imaging or fluorescence lifetime imaging (FLIM) often depend on the well-defined spectral or temporal properties of lasers. Furthermore, laser microbeams are used increasingly for optical tweezers or micromanipulation of cells. Three exemplary laser applications in live cell biology are outlined. They include fluorescence diagnosis, in particular in combination with Förster Resonance Energy Transfer (FRET), photodynamic therapy as well as laser-assisted optoporation, and demonstrate the potential of lasers in cell biology and—more generally—in biomedicine.
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification

Reading psychology believes text comprehension to involve a complex psychological construction process, with the reader mind being a dynamic associative system that stores an abundance of schemata. For Chinese text, in particular, the unique ideographic writing system allows its lansign to trigger semantic association and schema recalling without the need of phonetics. In contrast to previous research efforts on text classification problems, in this paper we present an interdisciplinary modeling approach that draws inspirations from the cognitive principles of ideography, schema theory and deep learning to study Chinese text classification. Specifically, we first propose a Radical-guided Associative Model (RAM) for preliminary cognitive imitation, which comprises two coupled spaces, namely the Literal Space and Associative Space. Then, taking consideration of the schemata acquired from the mind of a reader which plays an important role in influencing text-dependent information revision, we extend RAM with a systematic Schema-aware Radical-guided Associative Model (SRAM) that embeds label semantics as essential text-independent human knowledge for real-world abstraction. In SRAM, the Schema Space is introduced and a Schema Attention module is proposed with a novel loss paradigm that includes the linkage and interaction between text-dependent prior concepts and text-independent label schemata. Extensive experiments on three real-world datasets demonstrate the effectiveness and rationality of our proposed method.
Networking multiple HF radar systems with common coverage overlap

Two older NOAA pulse-Doppler CODAR systems at Moss Landing and Monterey, CA, have been providing real-time surface-current map coverage of Monterey Bay since 1991. Recently, this configuration has been extended. The older CODAR at Monterey has been replaced by a new lower-frequency, longer-range SeaSonde. SeaSondes have been brought on line at Santa Cruz and Granite Canyon, South of Monterey. This paper describes the operation of the multisystem network. Overlapping coverage between at least two systems is required to produce a total horizontal current vector as each unit can measure only the vector component at any point that is radial to the radar. More systems results in greater coverage, accuracy and a more complex operation. <<ETX>>
Sensor-Based Smart Oven System to Enhance Cooking Safety

The recent advances in sensor technology empower adaptable smart systems targeting safety. Smart sensing in ambient intelligence systems enables to enhance safety during cooking which is very important for aging people. Therefore, we worked on a project of building a smart oven system. We studied the principal risks around oven and analyzed the characteristics and the basic functional principles of the existing sensors to select the most appropriate. In this paper, we present the analysis of the sensors used and the test results of each sensor in a real-world cooking environment.
Lipotoxicity as the Leading Cause of Non-Alcoholic Steatohepatitis

The emerging issues nowadays are non-alcoholic fatty liver disease (NAFLD) and its advanced stage non-alcoholic steatohepatitis (NASH), which further can be a predisposing factor for chronic liver complications, such as cirrhosis and/or development of hepatocellular carcinoma (HCC). Liver lipotoxicity can influence the accumulation of reactive oxygen species (ROS), so oxidative stress is also crucial for the progression of NASH. Moreover, NASH is in strong connection with metabolic disorders, and supporting evidence shows that insulin resistance (IR) is in a close relation to NAFLD, as it is involved in the progression to NASH and further progression to hepatic fibrosis. The major issue is that, at the moment, NASH treatment is based on lifestyle changes only due to the fact that no approved therapeutic options are available. The development of new therapeutic strategies should be conducted towards the potential NAFLD and NASH treatment by the modulation of IR but also by dietary antioxidants. As it seems, NASH is going to be the leading indication for liver transplantation as a consequence of increased disease prevalence and the lack of approved treatment; thus, an effective solution is needed as soon as possible.
Efficacy and safety of a combination of shuangdan mingmu capsules and laser therapy for diabetic retinopathy, and its effect on blood glucose indices and quality of life of patients

Purpose: To investigate the efficacy and safety of a combination of Shuangdan Mingmu capsules andlaser therapy in diabetic retinopathy (DR), as well as on blood glucose index and quality of life.Methods: One hundred and twenty DR patients admitted to Zhenba County Peoples Hospital, Shaanxi were assigned equally to 2 groups: A and B. Retinal laser photocoagulation was performed for group B patients, while Shuangdan Mingmu capsules were given to group A, in addition to laser treatment. Ophthalmic parameters, blood glucose indices, ultrasonic indices, platelet parameters, quality of life, and incidence of adverse drug reactions (ADR) were determined and compared between groups A andB.Results: Following treatment, group A had significantly better ophthalmic parameters, blood glucose indices and platelet parameters (p < 0.05); better ultrasonic indices and quality of life (p < 0.001), and lower ADRs (p < 0.05) than group B.Conclusion: The combination of Shuangdan Mingmu capsules and laser therapy effectively cures ocular lesions, controls blood glucose, and lowers ADR in DR patients. Therefore, the combined therapy should be further investigated for the management of diabetic retinopathy.
QUIC Loss Recovery And Congestion Control

QUIC (Quick UDP Internet Connection) is a new multiplexed and secure transport atop UDP, designed from the ground up and optimized for HTTP/2 semantics. While built with HTTP/2 as the primary application protocol, QUIC builds on decades of transport and security experience, and implements mechanisms that make it attractive as a modern general- purpose transport. QUIC implements the spirit of known TCP loss recovery mechanisms, described in RFCs, various Internet-drafts, and also those prevalent in the Linux TCP implementation. This document describes QUIC loss recovery, and where applicable, attributes the TCP equivalent in RFCs, Internet- drafts, academic papers, and/or TCP implementations.
Residents' perception and use of green space: Results from a mixed method study in a deprived neighbourhood in Korea

Variables other than the physical existence of green space can affect its health benefits, including the residents' perceptions of the green space. In this study, factors associated with residents' perceptions and use of green space, as well as, their demands for green space to promote their use of such space were examined. The study focused on a deprived area in Jeonju City, Korea and used a mixed method design that involved both quantitative and qualitative components. The quantitative data from a cross-sectional survey of 1000 residents and the qualitative data from interviews with 30 residents were obtained. The results showed that the people in poorer socio-demographic and residential situations were more dependent on local green space, and good relationships between neighbours in this low-income area led to more frequent use of green space. The most important and fundamental requirements for green space are easy accessibility and safety. Also, physical and social activities must be promoted through the use of green space. As since green space can play a significant and positive social role in deprived neighbourhoods, both the quantity and quality of such spaces should be strongly considered as part of any revitalization efforts.
Global Proteome Profiling of the Temporal Cortex of Female Rats Exposed to Chronic Stress and the Western Diet

The increasing consumption of highly processed foods with high amounts of saturated fatty acids and simple carbohydrates is a major contributor to the burden of overweight and obesity. Additionally, an unhealthy diet in combination with chronic stress exposure is known to be associated with the increased prevalence of central nervous system diseases. In the present study, the global brain proteome approach was applied to explore protein alterations after exposure to the Western diet and/or stress. Female adult rats were fed with the Western diet with human snacks and/or subjected to chronic stress induced by social instability for 12 weeks. The consumption of the Western diet resulted in an obese phenotype and induced changes in the serum metabolic parameters. Consuming the Western diet resulted in changes in only 5.4% of the proteins, whereas 48% of all detected proteins were affected by chronic stress, of which 86.3% were down-regulated due to this exposure to chronic stress. However, feeding with a particular diet modified stress-induced changes in the brain proteome. The down-regulation of proteins involved in axonogenesis and mediating the synaptic clustering of AMPA glutamate receptors (Nptx1), as well as proteins related to metabolic processes (Atp5i, Mrps36, Ndufb4), were identified, while increased expression was detected for proteins involved in the development and differentiation of the CNS (Basp1, Cend1), response to stress, learning and memory (Prrt2), and modulation of synaptic transmission (Ncam1, Prrt2). In summary, global proteome analysis provides information about the impact of the combination of the Western diet and stress exposure on cerebrocortical protein alterations and yields insight into the underlying mechanisms and pathways involved in functional and morphological brain alterations as well as behavioral disturbances described in the literature.
Prefix-Pruning-Based Distributed Frequent Trajectory Pattern Mining Algorithm

An important problem to be solved in smart city construction is how to improve the efficiency of mining frequent patterns that can be used for location prediction and location-based services of massive trajectory datasets. Owing to uncertain personal trajectory and non-explicit trajectory items, the existing sequence mining algorithms cannot be used directly. To solve this problem, this study proposes a distributed trajectory frequent pattern mining algorithm (SparkTraj) based on prefix pruning. First, a grouping and partitioning technique is used to abstract the original trajectory data and convert them into a common time series.Then, the generation of a redundant trajectory pattern is avoided by using the path adjacency pruning method. Second, to improve mining efficiency, SparkTraj is designed and implemented in Spark, which employs cluster memory computing. Finally, experiments on common datasets show that the proposed algorithm can effectively extract frequent trajectory patterns, and, in particular, deal with the massive amounts of trajectory data. Compared with common trajectory pattern mining algorithms, the SparkTraj algorithm not only improves the overall performance but also has good scalability.