Miracle-dz/UniFAR-FTUs huggingface dataset:
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising

In recent decades, innovation and entrepreneurship have become buzz words. With entrepreneurial projects emerging in large numbers every day, the common intention of all investors, i.e., putting every penny into good entrepreneurial projects, is becoming more difficult. In reality, traditional research with empirical results is not practical for analyzing these newly launched projects of small and micro enterprises before production and sale. Actually, the future market prospect is an important criterion for evaluating entrepreneurial projects. However, this direction has not been well explored due to the limitations of scenarios and technical challenges especially for these small and micro enterprises. In this paper, we construct an interesting study of exploiting the market prospect from the sales markets (i.e., E-commerce) to help evaluate newly-posted campaigns in crowdfunding. Specifically, we propose a novel Market-oriented Prospect Analysis with Transferring Attention (MoPa-A) model which contains two learning modules, i.e., HostTask Learning and GuestTask Learning connected and enhanced by transferring attention. The former is designed for funding performance modeling with heterogeneous features of crowdfunding campaigns, and the latter is to represent and transfer the latent semantics of market prospect for target campaigns from campaigns’ comments with the help of relevant products in sales market. The model design of MoPa-A brings some new insights on flexible knowledge transfer for different or cross domains. With the real-world datasets collected from Indiegogo and Amazon, we construct extensive experiments and the results demonstrate the effectiveness of our MoPa-A model.
Specific and Sensitive Detection of Tartrazine on the Electrochemical Interface of a Molecularly Imprinted Polydopamine-Coated PtCo Nanoalloy on Graphene Oxide

A novel electrochemical sensor designed to recognize and detect tartrazine (TZ) was constructed based on a molecularly imprinted polydopamine (MIPDA)-coated nanocomposite of platinum cobalt (PtCo) nanoalloy-functionalized graphene oxide (GO). The nanocomposites were characterized and the TZ electrochemical detection performance of the sensor and various reference electrodes was investigated. Interestingly, the synergistic effect of the strong electrocatalytic activity of the PtCo nanoalloy-decorated GO and the high TZ recognition ability of the imprinted cavities of the MIPDA coating resulted in a large and specific response to TZ. Under the optimized conditions, the sensor displayed linear response ranges of 0.003–0.180 and 0.180–3.950 µM, and its detection limit was 1.1 nM (S/N = 3). The electrochemical sensor displayed high anti-interference ability, good stability, and adequate reproducibility, and was successfully used to detect TZ in spiked food samples. Comparison of important indexes of this sensor with those of previous electrochemical sensors for TZ revealed that this sensor showed improved performance. This surface-imprinted sensor provides an ultrasensitive, highly specific, effective, and low-cost method for TZ determination in foodstuffs.
Vertical Flux of Trace Elements Associated With Lithogenic and Biogenic Carrier Phases in the Southern Ocean

Trace elements (TE) are tracers of multiple biotic and abiotic processes in the ocean and some of them are essential for marine life. Vertical export by particles is a major removal process of a large fraction of TE from the surface ocean. However, the seasonal export dynamics and its controlling factors, critical for the understanding of the internal TE cycling, remain poorly constrained. Here, we report and discuss the seasonal export of 15 TE in sinking particles collected by a sediment trap deployed in a highly productive region of the Southern Ocean. Basalt material was the main carrier phase for the export flux of 9 TE, and its dynamic was characterized by a strong decrease over time. TE export driven by biological carriers such as diatom spores and vegetative cells added pulsed seasonal dynamics to the lithogenic signal, while the contribution of fecal pellets was less variable over the season. For each TE, we were able to decipher the biological carrier phases that represent the most dominant export pathway. We discuss this partitioning with regards to the known metabolic functions of the different trace metals or TE of biological interest.
A New Low-Cost Technology Based on Pump as Turbines for Energy Recovery in Peripheral Water Networks Branches

The recovery of excess energy in water supply networks has been a topic of paramount importance in recent literature. In pressurized systems, a pump used in inverse mode (Pump As Turbine, PAT) demonstrated to be a very economical and reliable solution, compared to traditional energy production devices (EPDs). Due to the large variability of flow rate and head drop within water distribution networks, the operation of PATs could be performed by a series-parallel regulation system based on an electronic or a hydraulic principle. Despite the low cost of the PATs and of regulation and control systems, a great barrier to the diffusion of a small hydro power plant in water distribution is represented by the necessity of additional civil works to host the whole plant. Based on laboratory and numerical experiments, the present paper proposes a new low-cost technology, overcoming most of the limitations of the present technologies when low energy is available and high discharge variation occurs. The operating conditions of the plant are properly optimized with reference to the working conditions of a case study. Despite the laboratory prototype having exhibited a significantly low efficiency (i.e., 16%), due to the use of small centrifugal pumps suitable for the analyzed case study, in larger power plants relying on more efficient semi-axial submersed pumps, the energy conversion ratio can increase up to 40%. The results of this research could be useful for network managers and technicians interested in increasing the energy efficiency of the network and in recovering energy in the peripheral branches of the network were a large variability of small flow rates are present.
Montclair State University Digital Montclair State University Digital Commons Commons Black women’s experiences of gendered racial sexual Black women’s experiences of gendered racial sexual objectification, body image, and depressive symptoms objectification, body image, and depressive symptoms

Black women navigate unique sexual objectification experiences and concerns about their bodies as a consequence of the race- and gender-based marginalization that they face. However, less is known about the influence of gendered racial sexual objectification experiences on Black women’s mental health (i.e., depressive symptoms) or the contributions of key body image indicators (i.e., body surveillance and cur-rent-ideal body image discrepancy) that reflect Black women’s engagement in monitoring and managing their bodies. We surveyed 1595 Black women to test our hypotheses that experiences of gendered racial sexual objectification (i.e., frequency and stress appraisal) would be positively associated with depressive symptoms and that body surveillance and current-ideal body image discrepancy would moderate this association. Analyses showed that more frequent experiences of gendered racial sexual objectification and higher stress appraisal of these experiences were significantly associated with more depressive symptoms. Furthermore, body surveillance and current-ideal body image discrepancy moderated the relation between gendered racial sexual objectification and depressive symptoms. Findings highlight how Black women’s objectification and increased engagement in body monitoring and management practices are associated with their experiences of depressive symptoms, and thus, may negatively influence their mental health.
Application of bayesian networks to a longitudinal asthma study

Asthma is a highly prevalent and often serious condition causing significant illness and sometimes death. It typically consumes between 1-3% of the medical budget in most countries and imposes a disease burden on society comparable to schizophrenia or cirrhosis of the liver. Its causes are as yet unknown but a significant number of risk factors, covering such diverse factors as viral infections during infancy, blood antibody titres, mode of birth and number of siblings have been identified. In recent years there has been increasing recognition of the role played by the microbiome in human health, with a growing understanding that our relationship with the microbes that colonise the different parts of the human body is symbiotic. Disruptions in the microbiome have been implicated in diseases such as obesity, autism and auto-immune diseases, as well as asthma. At the same time there has been an increasing awareness in asthma research that its multi-facted and multi-factorial nature requires more sophistication than statistical association and regression. In this spirit we employ Bayesian networks, whose properties render them suitable for representing time-direct or even causal relationships, to gain insight into the nature of asthma. We begin with an example of the simplest Bayesian networks, a linear classifier, with which we predict outcomes in the fifth year-of-life according to the statistical distribution of variables from the first two years-of-life. (The qualification linear refers to the neglect of correlation and interaction among the predictive variables.) While classifiers have long been used for prognosis and diagnosis, we use them to
Gender-Differentiated Poverty among Migrant Workers: Aggregation and Decomposition Analysis of the Chinese Case for the Years 2012–2018

The relative poverty statuses of female and male migrant workers are complex: (i) as a group, migrant workers are relatively better off than their rural hometown fellow residents but are deprived compared to the long-term residents of the cities to which they have immigrated, and (ii) gender differences exist between female and male subgroups, resulting from the interaction of gender bias and empowerment. The former can be further decomposed into characteristic-led bias and bias arising from discrimination. However, little is known about the different facets of gender-differentiated poverty that pose challenges for migrant workers. This study used data collected from Chinese Family Panel Studies (CFPS) during the period 2012–2018 to address this research deficiency. This study conducted a poverty aggregation using a multidimensional relative poverty index system based on the Alkire and Foster (A–F) method to offer an overview of the gender differences in the overall relative poverty statuses of Chinese migrant workers. Further, to validate the existence of gender bias, this study conducted a decomposition analysis based on unconditional quantile regression (UCQR) of the explanatory model of relative poverty. The results of the combination of the aggregation and decomposition analysis data imply that, despite the gender discrimination that female migrant workers encounter, they are generally better off than male migrant workers due to their slight characteristic-led advantages and, more importantly, their autonomous poverty reduction activities. This study theoretically contributes to an in-depth understanding of gender differences in migrant workers’ relative poverty. In addition, this study advocates more targeted and sustainable poverty reduction solutions. For instance, more targeted payment transfer and long-term (vocational development, entrepreneurship, and lifestyle) empowering projects should be highlighted.
Heat transfer and fluid flow behaviour of a rectangular duct roughened with V-ribs with symmetrical gaps

ABSTRACT In the present work, artificial roughness in the form V-ribs with symmetrical gaps have been applied on the heated surface to enhance the heat transfer in the limbs of V-ribs. Symmetrical gaps on both legs were provided by varying the relative gap width from 1 to 5 and number of gaps from 1 to 5. The relative roughness pitch, relative roughness height and aspect ratio of the rectangular duct are kept constant to the value of 10, 0.0433 and 12, respectively. The Nusselt number and friction factor of the artificially roughened absorber plates has been determined experimentally and corresponding values were compared with that of the smooth duct for the range of flow Reynolds number 4000–18,000. The maximum enhancement in Nusselt number was reported for relative gap width of 4 and Number of gaps of 3. The thermohydraulic enhancement factor was found to be in order of the 1.54–2.39.
Artificial Intelligence-based Blockchain Technology for Skin Cancer Investigation Complemented with Dietary Assessment and Recommendation using Correlation Analysis in Elder Individuals

In the modern world, due to the usage of high-power chemical-based cosmetics, climate change, and other major factors, skin cancer has been increasing among individuals. Skin cancer is considered as the most common malignant disorder, and there are more than a million cases being recorded with this disease every year. Extensive studies have already been performed to identify the risk factors and causative agents for skin cancer, including lifestyle changes and eatery patterns among individuals. The most common type of skin cancer is classified into basal cell carcinoma and squamous cell carcinoma. The researcher intends to conduct the research with the primary goal of determining the important factors in blockchain technology in the treatment of skin cancer in senior people. The application of new technologies such as blockchain has enabled offering better promises to health care professionals in addressing skin cancer in a more effective manner. These tools supported in evaluating the nature and severity of psoriasis has been regarded as much support for health care professionals in detecting skin cancer and offer better health care guidance for better living. The detection of melanomas supports the patient in enhancing the prognosis and support in discriminating between the melanomas and less impact lesions. The blockchain-based classification system offers more benefits and reduces the cost of detecting skin cancer in an effective manner. It also helps the medical professionals by assisting them in developing a custom diet plan for each patient on the basis of their health records and food intake. The researchers are focused on applying both the primary data sources and secondary data sources for performing the study. A detailed questionnaire is designed, and it is shared with the participants through university hospitals, support groups, etc. so as to gather the information. Nearly 156 respondents were chosen through nonprobability sampling, and the information was collected. The researcher performs critical descriptive analysis, and correlation analysis is performed to understand the overall association between the variables. The researchers intend to perform the study with the basic goal of understanding the critical factors in blockchain technology in skin cancer for elderly individuals. The major factors involved are enhanced data privacy, support in forecasting patterns, and enhanced medical services to patients complemented with personalized dietary assessment and recommendations. The result demonstrates that artificial intelligence-based blockchain technology allows for the efficient processing of huge amounts of data in order to complete the assigned task and correctly determine and predict the model.
Autonomous Driving: A Survey of Technological Gaps Using Google Scholar and Web of Science Trend Analysis

Autonomous Driving (AD) introduces dramatic changes to the way we travel. This emerging technology has the potential to impact the transportation sector across a wide array of categories including safety, efficiency, congestion, legislation, and travel behavior. In this survey, we review the main issues involved in AD as discussed in the literature, and shed light on topics that we consider requiring further development based on Google Scholar and the Web of Science (WoS) data base. The paper also provides the results of research trends related to Autonomous Driving based on analysis of the number of search results listed in google trends. According to our research, the fields of Vehicle-to-Vehicle (V2V) and Vehicle-to-Cloud (V2C) networking are of higher interest due to the technological gaps and standardization processes. In addition, cyber and security research is in acceleration due to its importance.
Resnet based Deep Gated Recurrent Unit for Image Captioning on Smartphone

Resnet based Deep Gated Recurrent Unit for Image Captioning on Smartphone. European Journal of Science and Technology , (35), 610-615. Abstract Image captioning aims at generating grammatically and semantically acceptable natural language sentences for visual contents. Gated recurrent units (GRU) based approaches have recently attracted much attention due to their performance in caption generation. Challenges with GRU are to deal with vanishing gradient problems and modulation of the most relevant information flow in deep networks. In this paper, we propose a resnet-based deep GRU approach to overcome the vanishing gradient problem with residual connections while the most relevant information is ensured to flow using multiple layers of GRU. Residual connections are employed between consecutive layers of deep GRU, which improves the gradient flow from lower to upper layers. Experimental investigations on the publicly available MSCOCO dataset prove that the proposed approach achieves comparable performance with some state-of-the-art approaches. Moreover, the approach is embedded into our custom-designed Android application, CaptionEye , which offers the ability to generate captions without an internet connection under a voice user interface.
Efficacy of Different Doses of Daprodustat for Anemic Non-dialysis Patients with Chronic Kidney Disease: A Systematic Review and Network Meta-Analysis

(1) Background: Anemia affects about 40% of patients with chronic kidney disease (CKD). Daprodustat improves serum hemoglobin in anemic patients by inhibiting prolyl hydroxylase of hypoxia-inducible factor. We conducted a network meta-analysis to investigate the direct and indirect effects of different doses of daprodustat compared to each other and erythropoietin and placebo. (2) Methods: We searched PubMed, Cochrane Library, Web of Science, and Scopus, for randomized clinical trials (RCTs) reporting data about different doses of daprodustat for anemia in nondialysis of CKDs. (3) Results: We eventually included five RCTs with a total sample size of 4566 patients. We found that the higher the dose of daprodustat, the greater the change in serum total iron binding capacity (TIBC), hemoglobin, and ferritin from baseline. Compared to placebo, daprodustat 25–30 mg was associated with the highest significant increase in serum hemoglobin (MD = 3.27, 95% CI = [1.89; 4.65]), a decrease in serum ferritin (MD = −241.77, 95% CI = [−365.45; −118.09]) and increase in serum TIBC (MD = 18.52, 95% CI = [12.17; 24.87]). (4) Conclusion: Higher daprodustat doses were associated with a higher impact on efficacy outcomes as serum total iron-binding capacity (TIBC), hemoglobin, and ferritin. However, data about the safety profile of different doses of daprodustat is still missing.
Trophic interactions and feedbacks maintain intact and degraded states of Hawaiian tropical forests

Feedbacks within ecosystems can lead to internal reinforcement of the current state providing ecosystem resilience. Often, multiple biotic interactions across trophic levels play a role in such feedbacks, yet these are generally studied independently, obscuring the relative importance of interactions among different factors. We look at various potential feedbacks in intact and degraded mesic forests on Hawai ʻ i Island where managers have planted native Acacia koa (koa) trees in an attempt to jumpstart succession in former cattle pastures. These restoration forests, however, have not undergone secondary succession, instead maintaining a koa overstory with an exotic pasture grass understory. We contrasted different trophic level processes that in ﬂ uence the capacity for natural understory regeneration: feedbacks between bird-mediated seed rain and fruiting understory ( “ top-down ” ), as well as links between understory composition and microhabitats for native seed germination ( “ bottom-up ” ). We quanti ﬁ ed bird-mediated seed rain under canopy trees along transects spanning intact, fragmented, and restoration forests. Along these transects, we established plots around focal overstory trees to measure abundance of fruiting understory species, ground cover (e.g., exotic grass, bryophyte), and obtained estimates of bird density to evaluate the contribution of each of these factors to seedling abundance. We also used a factorial seed addition/grass removal experiment to directly compare the in ﬂ uence of seed rain and germination substrate. We found evidence of both top-down and bottom-up feedbacks that reinforced the current state of each forest type. In the intact and fragmented forests, the combination of comparatively high seed rain and ample germination substrate is likely critical for maintaining a diverse forest system. In contrast, exotic grasses exhibit priority effects in restoration forests, inhibiting seed germination and effectively negating any bene ﬁ ts that could be derived from bird-mediated seed rain. Such internal reinforcement suggests that active, rather than passive, restoration would be bene ﬁ cial to increase forest diversity in restoration areas. polymorpha trees to Acacia koa a positive estimate for habitat type indicates a corresponding increase in basal stem area relative to intact forest.
Japanese-Style Diet and Cardiovascular Disease Mortality: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

This systematic review and meta-analysis elucidate the effects of the Japanese-style diet and characteristic Japanese foods on the mortality risk of cardiovascular disease (CVD), cerebrovascular disease (stroke), and heart disease (HD). This review article followed the PRISMA guidelines. A systematic search in PubMed, The Cochrane Library, JDreamIII, and ICHUSHI Web identified prospective cohort studies on Japanese people published till July 2020. The meta-analysis used a random-effects model, and heterogeneity and publication bias were evaluated with I2 statistic and Egger’s test, respectively. Based on inclusion criteria, we extracted 58 articles, including 9 on the Japanese-style diet (n = 469,190) and 49 (n = 2,668,238) on characteristic Japanese foods. With higher adherence to the Japanese-style diet, the pooled risk ratios (RRs) for CVD, stroke, heart disease/ischemic heart disease combined (HD/IHD) mortality were 0.83 (95% CI, 0.77–0.89, I2 = 58%, Egger’s test: p = 0.625, n = 9 studies), 0.80 (95% CI, 0.69–0.93, I2 = 66%, Egger’s test: p = 0.602, n = 6 studies), and 0.81 (95% CI, 0.75–0.88, I2 = 0%, Egger’s test: p = 0.544, n = 6 studies), respectively. Increased consumption of vegetables, fruits, fish, green tea, and milk and dairy products decreased the RR for CVD, stroke, or HD mortality. Increased salt consumption elevated the RR for CVD and stroke mortality. Increased consumption of dietary fiber and plant-derived protein decreased the RR for CVD, stroke, and HD/IHD mortality. The Japanese-style diet and characteristic Japanese foods may reduce CVD mortality. Most studies conducted diet surveys between 1980 and the 1990s. This meta-analysis used articles that evaluated the same cohort study by a different method. A new large-scale cohort study matching the current Japanese dietary habits is needed to confirm these findings.