Miracle-dz/UniFAR-FTUs huggingface dataset:
Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images

The accuracy of remote sensing image segmentation and classification is known to dramatically decrease when the source and target images are from different sources; while deep learning-based models have boosted performance, they are only effective when trained with a large number of labeled source images that are similar to the target images. In this article, we propose a generative adversarial network (GAN) based domain adaptation for land cover classification using new target remote sensing images that are enormously different from the labeled source images. In GANs, the source and target images are fully aligned in the image space, feature space, and output space domains in two stages via adversarial learning. The source images are translated to the style of the target images, which are then used to train a fully convolutional network (FCN) for semantic segmentation to classify the land cover types of the target images. The domain adaptation and segmentation are integrated to form an end-to-end framework. The experiments that we conducted on a multisource data set covering more than 3500 km2 with 51 560 $256\times 256$ high-resolution satellite images in Wuhan city and a cross-city data set with 11 $383\,\,256\times 256$ aerial images in Potsdam and Vaihingen demonstrated that our method exceeded the recent GAN-based domain adaptation methods by at least 6.1% and 4.9% in the mean intersection over union (mIoU) and overall accuracy (OA) indexes, respectively. We also proved that our GAN is a generic framework that can be implemented for other domain transfer methods to boost their performance.
Spatio-temporal changes in littoral fish community structure along the St. Lawrence River (Québec, Canada) following round goby (Neogobius melanostomus) invasion

Co-Editors’ Note: This study was contributed in relation to the 20th International Conference on Aquatic Invasive Species held in Fort Lauderdale, Florida, USA, October 22–26, 2017 (http://www.icais.org/html/previous20.html). This conference has provided a venue for the exchange of information on various aspects of aquatic invasive species since its inception in 1990. The conference continues to provide an opportunity for dialog between academia, industry and environmental regulators.
Factor analysis, stepwise regression and path coefficient analyses of yield, yield-associated traits, and fruit quality in tomato

ABSTRACT Breeding of tomato (Solanum lycopersicum L) with a focus on yield has indirectly led to reductions in flavor. Development of tomato genotypes with high quality and yield needs efficient tools to monitor trait association in breeding. The objective of the work was to combine simultaneous selection for yield and quality in elite segregating populations of tomato breeding using multivariate methods. Eighty-three tomato lines (S3) were produced, using the modified pedigree method, from crossings of commercial hybrids. Factor analysis determined five hidden factors, which justified 68.62% of variation. The first factor, with the highest percent of justified variance, was effective for fruit yield. The second factor with the most coefficients was effective for fruit quality. The third factor, with extensive, positive, coefficients for fruit length, fruit diameter, and pericarp thickness, was effective for fruit characterization. The fourth factor, with the most factorial load over number of fruit per cluster and high negative weight, was effective for durability of flowers. The fifth factor was affected by number of flowers per cluster, and vitamin C and total soluble solids content. In triplot analysis partially inbred lines 75, 76, 77, and 78 had high values of the first factor and was effective for high performance. The most important traits, based on stepwise regression, were number of fruit per line, single fruit weight, fruit diameter and pericarp thickness. Path analysis indicated number of fruit per line and single fruit weight had the highest positive direct effect on yield and direct selection for these traits is possible. Based on their high positive loading for factors 1 and 3, that had relation to fruit yield and moderate loading for factor 2, where maturity index was negative, partially inbred lines 75 and 78 can be used for subsequent tomato breeding. In tomato, important traits for yield include single fruit weight, fruit length and diameter, and pericarp thickness and titratable acidity must be considered simultaneously to maintain flavor.
Neuroendocrine Carcinoma of Esophagus: A Case Series

Esophageal Neuroendocrine carcinoma (NECs) are rare and aggresive type of esophageal carcinoma with positive neuroendocrine markers. The esophageal NECs present most commonly with gastrointestinal symptoms such as dysphagia and/or abdominal discomfort. They have the potential for distant metastasis. In the present case series, all the patients present with symptoms of dysphagia and ulcerative growth pattern with positive neuroendocrine immunohistochemical markers.
Socio-Demographic Profile of Suicide Attempters in a Tertiary Hospital of South India

Background: Suicide is a tragic and serious preventable public health problem all over the world. It is one of the three leading causes of death globally. Usually suicide has no single cause. It is the endpoint of an individual process, in which several cultural, social, situational, psychological, and biological factors interact Aims: To identify the socio- demographic details of patients admitted with history of alleged suicide attempt. Method/ Materials: 50 in- patients with alleged history of suicide attempt were evaluated. Their socio-demographic details were obtained and their socio economic status as assessed using Socio Economic Status Schedule. Results obtained were analyzed with IBM SPSS statistics 21. Results: Majority of the patients belonged to 18-30 years age group, were Hindus with primary education, married, employed from semi-urban area and nuclear family. The average family income of most was more than Rs 3000 and belonged to category III of the Socio Economic Status Schedule with the score of 21-35. Conclusion: Socio-demographic variables in those with attempted suicide may be considered as risk or protective factor. Proper assess
Global Stabilization of the Discrete-Time Integrators System by Bounded Controls

This paper is concerned with global stabilization of discrete-time multiple integrators with bounded controls by utilizing the energy function based approach. First, a discrete-time double integrators system subject to input additive disturbances is stabilized by a bounded feedback whose formula involves a linear function of the state and a saturation function only. Next, this result is used to stabilize a discrete-time multiple integrators of arbitrary length by bounded control with the aid of a special canonical form. Compared with the existing results, the proposed controllers require fewer saturation functions, which allow a better use of the control energy. Moreover, some free parameters that are introduced into these controllers can help improve the transient performance of the closed-loop systems significantly. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Yearning for an Apple: The Changing Lifestyle of the Tana River Delta Communities in Kenya and Implications on Livelihoods and Conservation of Natural Resources

Tana River Delta is occupied predominantly by pastoral and farming communities that inhabit defined zones in the Delta. A study was undertaken to assess changes in the lifestyle of communities living in the Delta and its implications on livelihoods and conservation of natural resources. Literature review, household questionnaires, social and resource mapping, key informant interviews, village-based focus group discussion and structured observations were used to collect data. It was evident that the delta communities are aware of the delta resources, their uses, utilization and best management options. Additionally, they were knowledgeable on the delta resources use by non-residents, the resultant conflicts and the food status in the community. They had a good understanding of the new food they would wish to have in their diets and the means of accessing them. Modernity has pushed the community to yearn for development (“Yearn for an Apple”) to access foods that other parts of the country are eating, with implications on livelihoods and conservation of Delta resources. Reversing degradation and enhancing the development of the Delta area require the involvement of all stakeholders, informing and seeking the consensus of decision-makers and the real users of the Tana delta. The Government has to provide overall security and development.
Morphometric relationships and growth models for the oyster Crassostrea corteziensis cultivated at the southeastern coast of the Gulf of California, Mexico

This study aimed to determine weight-size relationships and to fit the best growth model of the Cortez oyster Crassostrea corteziensis from early juvenile to adult during one single culture cycle. The morphometric data (n = 50 oysters sampled each two weeks during January 2010 to March 2011) of shell heightshell length [SH-SL], shell height-shell width [SH-SW], shell width-shell length [SW-SL], body weight-shell length [BW-SL], body weight-shell height [BW-SH] and body weight-shell-width [BW-SW] (log-transformed) were determined by regression analysis. The SL and SH measurements (R 2 = 0.98) were consistently proportional to the BW, being the BW-SL and BW-SH morphometric relationships the more suitable for growth evaluation of C. corteziensis in culture. Four different equations of the Schnute model, as well as Special cases 1 and 2 (equivalent to the Von Bertalanffy growth model, VBGM, and Logistic models, respectively), were evaluated utilizing length-at-age data to estimate individual growth parameters. The parameters were obtained using the maximum likelihood algorithm and the Akaike information criterion was applied to rank the models examined. The growth curve displayed a rapid increase until the size of 41.68 ± 16.18 mm in length. In the present study, the symmetrical sigmoid curve was the best hypothesis that fit the data; however, it is assumed that the age data are sufficiently informative to describe the growth pattern of C. corteziensis , with either Schnute model Special case 2. Results from morphometry and growth model in this study represent useful tools to analyze growth performance of the Cortez oyster in culture better.
Scientific Research Influencing the Quality of Training: A Case of Public Universities in Ho Chi Minh City

In the current context of globalization and deep integration, scientific research plays a particularly important role in the quality of training at public universities. Besides, scientific research always receives individual attention from public universities. Therefore, the main objective of this paper is to find out factors that influencing the quality of training at the public universities in Ho Chi Minh City (HCMC). The authors surveyed 900 lecturers who are working at nine public universities in HCMC, and each university has 100 lecturers surveyed. The authors applied a random sampling technique. Cronbach's Alpha tested, the exploratory factor analysis and Structural Equation Modelling (SEM) tested also. The title had been used items on a 5-point Likert scale. Results showed scientific research factors influencing the quality of training at the public universities in HCMC with significant at 1.0 percent.
Smallholder Farmers’ Perception of Climate Change: The Case of Jamma District of South Wollo Zone, Ethiopia

The research is financed by African Economic Research Consortium Abstract Climate change is causing the greatest environmental, social and economic threats across the globe. Its impact has been increasing especially on agricultural activities in developing countries. It depresses crop yields through temperature increase and reductions of precipitation. Climate change mainly affected low-income countries where their adaptive capacities are perceived to be low, due to weak institutional capacity, limited engagement in environmental and adaptation issues and lack of validation of local knowledge. A better understanding of the perceptions of farmers about climate change is essential to develop appropriate adaptation measures that can alleviate the adverse effects of climate change. Therefore, the main aim of the study was to examine perceptions of smallholder farmers in the Jamma district of South Wollo Zone, Ethiopia. The study was used in both primary and secondary data sources to collect both qualitative and quantitative data. Primary data were collected from a randomly selected 156 sample households interviewed through a structured questionnaire. Focus group discussion also used to collect the qualitative data about the perception and attitudes of smallholder farmers about climate change. Descriptive statistics were used to provide insights into farmers’ perceptions about change in temperature and precipitation patterns comparing with the metrological data. Among the sample respondents, 92.3 percent perceived as an increase in temperature. Similarly, 98.2 and 90.4 percent of the sampled households perceived that decreased the Belg rain and in the overall average rainfall in the main rain season (kiremt) respectively. Keywords : Climate Change, Jamma District Zone, Perception. DOI: 10.7176/DCS10-9-04 Publication date: September 30 th 2020
Antioxidant Potential of Lactarius deliciosus and Pleurotus ostreatus from Amanos Mountains

Background: Edible mushrooms are considered as the significant source of minerals and vitamins. Lactarius deliciosus and Pleurotus ostreatus are the two known edible mushroom species because of their distinctive taste as well as nutritional properties . Methods: L. deliciosus and P. ostreatus were collected from the native flora of Amanos Mountains in Turkey. The methanol (MeOH) extract of the L. deliciosus and P. ostreatus was obtained to assess antioxidant potential, Total phenolic, flavonoid, β-carotene and lycopene content. Results: Total phenolic (mg/kg), flavonoid (mg/kg) and β-carotene (mg/100 ml) contents of the MeOH extracts of L. deliciosus and P. ostreatus were 34.55, 6.03, 1.15 and 15.66, 0.16, 0.02, respectively. Lycopene was only detected in L. deliciosus with a content of 0.25 (mg/100 ml). At 5 mg/ml, DPPH (%), RP (Abs.), H 2 O 2 (%), NO (%) and FRAP (mmol Fe 2+ /L) activities of L. deliciosus and P. ostreatus were 45.33, 0,790, 88.30, 55.51, 0.57 and 17.42, 0,530, 73.77, 33.64, 0.28, respectively. Conclusion: Pearson correlation among the antioxidant results was found to be well correlated (r ≥0.90). Antioxidant results were highly correlated (r ≥0.93) with total phenolic compounds and lycopene. As of date, there has no previous work not only the NO but also H 2 O 2 radical scavenging capabilities of L. deliciosus and P. ostreatus .
The interaction of phylogeny and community structure: linking clades’ ecological structures and trait evolution

Aim Community phylogenetic studies use information about species’ evolutionary relationships to understand the processes of community ecological assembly. A central premise of the field is that species’ evolution maps onto ecological patterns, and phylogeny reveals something more than species’ traits alone. We argue, therefore, that there is a need to better understand and model the interaction of phylogeny with species’ traits and community composition. Innovation We outline a new method that identifies clades with unusual ecological structures, based around partitioning the variation of species’ site occupancies (β-diversity). Eco-phylogenetic theory would predict that these clades should also demonstrate distinct evolutionary trajectories. We suggest that modelling the evolution of independent trait data in these clades represents a strong test of whether there is an association between species’ ecological structure and evolutionary history. Main conclusions Using an empirical dataset of mammals from around the world, we identify two clades of rodents that tend not to co-occur (are phylogenetically overdispersed), and then find independent evidence of slower rates of body mass evolution in these clades. We suggest that our approach, which assumes nothing about the mode of species’ trait evolution but rather seeks to explain it using ecological information, presents a new way to examine eco-phylogenetic structure.
Trend and Variability in Interannual Air Temperature Over South West Mau Forest, 1985 - 2015

The research is sponsored by Jomo Kenyatta University of Agriculture and Technology and National Commission for Science, Technology and Innovation Kenya. Abstract Globally high altitude forest regions are considered to be more prone to rapid warming. These regions have also shown great seasonal and inter annual temperatures variability. In Kenya mean annual temperatures increased by 1.0 0 C since 1960. Going by global trends it is plausible to argue that high altitude forest areas in Kenya might have shown great seasonal and inter annual temperatures variability over time. This study assessed interannual trend and variability as well as change point detection in average annual air temperature in South West Mau Forest, Kenya between 1985 and 2015. South West Mau Forest is an indigenous montane ecosystem with a tropical montane climate. Annual average air temperature over the South West Mau forest pointed towards climate warming of 0.0188 0 C per year (Kendall’s tau = 0.3677, p value = 0.0033) but with low interannual variability (CV= 0.11%). A shift in the annual average air temperature of 0.368 0 C at p= 0.0051 was detected between 1985-1998 and 1999- 2015. There was a weak positive anomaly in the annual average air temperature with a slope of 0.0192 and R 2 = 0.3074. Overall the region experienced climate warming. Keywords: Climate warming, Trend, Variability, Average temperature DOI: 10.7176/JNSR/11-16-04 Publication date: August 31 st 2020
Automatic local resolution-based sharpening of cryo-EM maps

Recent technological advances and computational developments, have allowed the reconstruction of cryo-EM maps at near-atomic resolution structures. Cryo-EM maps benefit significantly of a “postprocessing” step, normally referred to as “sharpening”, that tends to increase signal at medium/high resolution. Here, we propose a new method for local sharpening of volumes generated by cryo-EM. The algorithm (LocalDeblur) is based on a local resolution-guided Wiener restoration approach, does not need any prior atomic model and it avoids artificial structure 1 factor corrections. LocalDeblur is fully automatic and parameter free. We show that the new method significantly and quantitatively improving map quality and interpretability, especially in cases of broad local resolution changes (as is often the case of membrane proteins).
Analysis of Factors Influencing Adoption of Human Resource Practices by Small and Medium Scale Enterprises in Nigeria

In the XXI century, one of the most valuable resources of any organization is human capital. The effectiveness of the organization and the use of other resources depend on the formation quality and the use of the human capital. Today, many factors affect small and medium scale enterprises that lead to their rapid bankruptcy and liquidation, significant staff turnover, and reduced productivity. Under these conditions, attracting and retaining highly qualified personnel as the primary determinant of economic development and growth of small and medium scale enterprises is significantly relevant. Minimizing the negative impact of external and internal factors made by small and medium scale businesses requires recognition of the value of the human resources in improving the enterprise’s competitiveness and the effective management tools implementation. The study identifies the main factors influencing the implementation of human resource management practices in small and medium scale enterprises in Kwara, Nigeria. Methodological tools of this study are methods of analysis and synthesis, comparative and regression analysis. The study covers 200 small and medium scale enterprises in the Kwara Central Senatorial District and registered in the National Association of Small and Medium Enterprises (NASME). The factors influencing the use of human resources by small and medium scale enterprises in the article are studied in the following logical sequence: using a structured questionnaire developed in the form of the Rensis Likert scale, an array of primary data is forme. The hypothesis (at the level of 5% of weight) regarding the relationship between the efficiency indicators and human resources management policy is tested using multiple regression analysis with statistical software STATA 11.0. The results of the survey are analyzed, summarized, and interpreted using descriptive statistical methods. The results of multiple regression analyses confirm a statistically significant relationship between the analyzed indicators (p = 0.000 and R2 = 0.8128). The study shows a significant impact of financial security of the organization (β = 0.76; t = 8.63; p) and its size (β = 0.46; t = 4.66; p) on the implementation of personnel management practices on the example of small and medium scale enterprises in Kwara). The study results confirm that the small and medium scale enterprises in Kwara actively use personnel management under the influence of environmental factors. The study empirically confirms and theoretically proves the feasibility to consider such variables as the funding availability, the size of the firm, and the type of ownership in the business management process. Keywords: Human Resources, Human Capital Theory, Management, Nigeria, Small and Medium Scale Enterprises.