Miracle-dz/UniFAR-FTUs huggingface dataset:
Monthly chlorophyll-a prediction using neuro-genetic algorithm for water quality management in Lakes

AbstractA genetic algorithm (GA) was combined with artificial neural networks (ANN), designated as neuro-genetic algorithm (NGA) in this study, to determine the effective number of nodes and optimal activated functions (FAs) in an ANN structure. Developed NGA was applied to predict Chlorophyll-a (Chl-a) concentrations in one-month increments in Lakes used as drinking water sources. Correlation analysis was used to setup input parameters. A simulation was conducted for four study sites with the most serious Chl-a problems in South Korea. Results from correlation analysis have indicated that phosphate phosphorus (PO4-P) and electrical conductivity showed high correlation with Chl-a, a factor not often considered in other studies. As the results of prediction of one-month forward Chl-a concentration, NGA showed high accuracy, with averaged determination coefficients of 0.89 and 0.84 in training and testing period, respectively. Double hidden layers showed better performance than a single hidden layer, while .
A Substrate-Integrated Waveguide Leaky-Wave Antenna Based on Eye-Shaped Transverse Slot

At present, there are few reports of broadside antennas based on the transverse slots in SIWs, because those slot structures often exist as open stopbands (OSB), which restrict radiation in the broadside direction. In this communication, a new type of transverse slot element, eye-shaped transverse slot element with a high phase shift, is proposed. The phase constant of this element can vary linearly, which can lead to continuous beam scanning from the backward-to-forward direction. The relationship between the phase difference and the element size is obtained by simulation. What is more, a leaky-wave antenna with element spacing slightly larger than half-waveguide wavelength is described, and its internal field distribution is analyzed. The measured results show that the main beam can scan from −56° to 39° when the frequency increases from 9.1 to 13 GHz, while the gain ranges from 9 to 11.7 dBi in the passband with an effective length of 110 mm. Because of its small antenna length, wide beam scanning range, and high gain, the antenna can be widely used in wireless communication or radar systems.
Empirical Research on the Impact of Real Estate on Economic Development

Real estate development investment has a significant impact on economic development. Based on data from 17 prefecture-level cities and prefectures in Hubei Province from 2002 to 2018, the relationship between real estate development investment and economic growth is analyzed with the help of panel data models. The study found that there is a long-term equilibrium relationship between the two, and there are regional differences in the impact of real estate development investment on economic growth in Hubei Province. Among them, Wuhan has the largest impact and Shennongjia forest area has the smallest impact. The impact of real estate development investment on economic growth depends on the level of regional economic development.
Towards a function-first framework to make soil microbial ecology predictive.

Soil microbial communities perform vital ecosystem functions, such as the decomposition of organic matter to provide plant nutrition. However, despite the functional importance of soil microorganisms, attribution of ecosystem function to particular constituents of the microbial community has been impeded by a lack of information linking microbial function to community composition and structure. Here, we propose a function-first framework to predict how microbial communities influence ecosystem functions. We first view the microbial community associated with a specific function as a whole, and describe the dependence of microbial functions on environmental factors (e.g. the intrinsic temperature dependence of bacterial growth rates). This step defines the aggregate functional response curve of the community. Second, the contribution of the whole community to ecosystem function can be predicted, by combining the functional response curve with current environmental conditions. Functional response curves can then be linked with taxonomic data in order to identify sets of "biomarker" taxa that signal how microbial communities regulate ecosystem functions. Ultimately, such indicator taxa may be used as a diagnostic tool, enabling predictions of ecosystem function from community composition. In this paper, we provide three examples to illustrate the proposed framework, whereby the dependence of bacterial growth on environmental factors, including temperature, pH and salinity, is defined as the functional response curve used to interlink soil bacterial community structure and function. Applying this framework will make it possible to predict ecosystem functions directly from microbial community composition.
Integration of Phosphate Solubilising Bacteria, Sulphur Oxidizing Bacteria with NPK on Maize (Zea mays)

Deficiency of phosphorus can reduce the yield up to 15-20% and its availability to crop plants is the main issue, particularly in calcareous soils of Pakistan. Micro-organisms, phosphorus solubilizing bacteria (PSB) and sulphur oxidizing bacteria (SOB) have the ability to make P accessible for optimum plant growth, under conditions of nutrients disparity. Therefore, six treatments i.e. control, Yz dose of NPK, full recommended dose of NPK, Yz NPK+ SOB, Yz NPK + PSB and Yz NPK + SOB+ PSB were applied in a field experiment to investigate the integrated role of SOB and PSB with NPK fertilizers for enhancing the maize production. The treatment was concluded to have major impact on agro-morphological traits, seed quality and growth parameters of maize. Results depicted that the use of Yz NPK + SOB + PSB gave maximum germination count/plot (151.33), plant height (189.03 cm), number of ears/plant (1.60), grains/ear (472.33), 1000-grain weight (305.67 g), grain yield (5350.50 Kg/ha), harvest index (31.23%), leaf area (379.77 cm2), total dry matter accumulated (181.43 g/plant), crop growth rate (30.60 g/day), net assimilation rate (9.31 g/day) and protein contents (8.49%).
The Global State of Security in Industrial Control Systems: An Empirical Analysis of Vulnerabilities Around the World

Operational Technology (OT) networks and devices, i.e., all components used in industrial environments, were not designed with security in mind. Efficiency and ease of use were the most important design characteristics. However, due to the digitization of industry, an increasing number of devices and industrial networks are opened up to public networks. This is beneficial for the administration and organization of the industrial environments. However, it also increases the attack surface, providing possible points of entry for an attacker. Originally, breaking into production networks meant to break an information technology (IT)-perimeter first, such as a public Website, and then to move laterally to industrial control systems (ICSs) to influence the production environment. However, many OT-devices are connected directly to the Internet, which drastically increases the threat of compromise, especially since OT-devices contain several vulnerabilities. In this work, the presence of OT-devices in the Internet is analyzed from an attacker’s perspective. Publicly available tools, such as the search engine Shodan and vulnerability databases, are employed to find commonly used OT-devices and map vulnerabilities to them. These findings are grouped according to the country of origin, manufacturer, and number as well as severity of vulnerability. More than 13000 devices were found, almost all contained at least one vulnerability. European and Northern American countries are by far the most affected ones.
USING AHP TO IMPROVE MANUFACTURING PROCESSES IN TPM ON INDUSTRIAL AND PORT COMPLEX

This paper aims to develop a model to rank the critical factors for the improvement of the production process from the point of view of TPM in six companies located in the Suape Industrial Complex region, Northeast Brazil. The method of hierarchy of critical factors of improvements of the productive processes, using the AHP methods on TPM. It using as technique the case study to identify these factors. All the six criteria were considered as critical increment factors for improvement from the TPM and the decision-maker, with A1: 88.63% and the factors that contributed the most were long setup and breakdown of equipment with almost 50%. The broader scope of companies to be researched by merging companies that have and do not have the TPM implemented. Contributed in the process of indicating these factors considered critical, classifying and categorizing through a ranking established by choice of decision-makers, who should prioritize their attention to those who had a low participation rate in improving improvements. The method that allows for the possibility of a classificatory grouping of critical factors to increase improvement from the standpoint of the TPM and the decision-maker since academic studies about this is still little explored.
Sauter mean and maximum bubble diameters in aerated stirred vessels

A semi-empirical correlation, based on the concepts of a critical Weber number and Kolmogoroff's theory of isotropic turbulence, was suggested by Parthasarathy et al. (1991) to estimate the bubble Sauter mean diameter d 32 in aerated stirred vessels, in a non-coalescing environment. The correlation was shown to be sufficiently reliable using experimental bubble size data for two-radial flow impellers in a 0.195 m diameter tank. The validity of the correlation is corroborated further, using a range of impellers, in standard stirred tanks of two sizes. The maximum bubble diameter d max , which is defined as the diameter that is larger than 99% of all the diameters in the cumulative number distribution of bubbles, is found to be linearly related to d 32 . The d 32 /d max ratio is shown to have an average value of 0.785, and is independent of the level of agitation
The Stanford Hall coronavirus disease 2019 (COVID-19) remote rehabilitation assessment tool

Coronavirus disease 2019 (COVID-19) is a multisystem illness and can lead to significant morbidity that causes persistent symptoms and functional impairments. In order to assess sequalae and provide rehabilitation services to meet needs of individuals affected, a remote assessment tool was developed in May 2020 by Defence Medical Rehabilitation Centre (DMRC) Stanford Hall personnel. The tool was created by a multidisciplinary team (MDT) working group led by a rehabilitation consultant with a …
Office Cervicoscopy versus Colposcopy for Evaluation of Suspicious Cervix ‎in Assiut Governorate

Background: In developed countries, cervical cancer is the second most prevalent cancer between females. When it enters the invasive phase, but outside of all female genital tract cancers, cervical cancer is a deadly disease. If diagnosed in its early stages, it is the only preventable cancer, and the disease is almost 100% curable with accurate screening and early detection. The aim of the work: To determine the effectiveness of both office cervicoscopy and colposcopy-directed biopsy in the assessment of clinically suspicious cervix. Patients and Methods: A prospective randomized controlled study, held on 200 patients randomly selected used closed envelopes with clinically suspicious cervix attending the outpatient clinic of Obstetrics and Gynecology Department, Al-Azhar University Hospital [Assiut]. Results: In case of inflammatory cases, the sensitivity with the pathology results were 97.7%, and 98.1% for colposcopy and office cervicoscopy respectively and specificity were 84.3%, and 94.7% for colposcopy and office cervicoscopy respectively. In case of abnormal vasculature, the sensitivity with the pathology results were 33.3%, and 85% for colposcopy and officecervicoscopy respectively and specificity were 80%, and 94.4% for colposcopy and office cervicoscopy, respectively. Conclusion: Colposcopy and office cervicoscopy have the same sensitivity and specificity for the detection of cervical polyps. But, in case of inflammatory and abnormal vasculature, office cervicoscopy was more sensitive with higher specificity than colposcopy more over office cervicoscopy had a great benefit in the assessment of endocervical canal and uterine cavity so, office cervicoscopy and colposcopy are complementary to each other.
Recycling Homogeneous Catalysts Simply by Organic Solvent Nanofiltration: New Ways to Efficient Catalysis

Organic solvent nanofiltration is a convenient method for the recovery of homogeneous transition metal catalysts. The long chain olefin 1‐dodecene is hydroformylated continuously, and the commercially available catalyst complex is separated efficiently using a commercially available nanofiltration membrane. An advantage of this method is that both reaction and separation take place in a single liquid phase. Only continuous operation shows interactions of reaction and separation in the long run. Low energy demand, high scalability as well as transferability to other reactions make this method promising for new industrial applications.
Do homo sapiens know their prices? Insights on dysfunctional price mechanisms from a large field experiment

We use a large, randomized field experiment that exogenously varies prices to test their effect on consumption. Full information is available at zero costs. However, households state prices that are, on average, ten times larger than actual. But ignorant households cannot react to prices and so the price mechanism becomes dysfunctional. Our results explain small or zero price effects from previous research. We show that researchers must provide evidence for a functional price mechanism before ascribing causal effects or risk biased conclusions. The same applies to price instruments that are often regarded as first best solutions.
Lost in Translation: Applying Principles of Translational Science to Systemic Family Therapy Research

Abstract Translational science has specific stages outlined by the National Institute of Health. Systemic family therapy (SFT) researchers do not seem to explicitly embrace this paradigm, though many are actively adding to the discipline’s empirically supported intervention base. We discuss the role of translational science in the landscape of SFT research. We report the findings of a case study review of a year’s worth of SFT scholarship. We make recommendations on how researchers can use this paradigm to help practitioners better understand the limits of applying research findings in their clinical practice, and provide recommendations for how to write clinical implications sections.
Private Philanthropy, Scholarly Associations, and the Humanities: Positions of Centrality, Status, and Prestige in Philanthropic Networks

Abstract:Once a cornerstone of the academy, the humanities experienced a decline of student majors and faculty-tenure track line positions, most notably since the Great Recession of 2008. Additionally, academic leaders have turned to philanthropic agencies, scholarly associations, and other umbrella organizations to address academic labor shortages, in many cases, providing temporary positions for recent Ph.D.'s in the form of research fellowships. This case study explores the contributory role of scholarly associations advancing foundation-supported interventions in the humanities, focusing on the American Council of Learned Societies (ACLS) during the Great Recession of 2008. We draw on several data collection strategies, including social network analysis to map research fellowship activity and in-depth interviews with institutional leaders, program officers, and grant recipients to assess doctoral student outcomes and organizational practices. Our findings demonstrated that during the economic crisis, fellowships directed toward newly minted Ph.D.s were effective at providing a lifeline for hundreds of early-career humanists, many of whom were able to secure a tenure-track position when the academic labor market improved. Moreover, through such investments, major funders and disciplinary associations supported early career scholars by conferring prestige and sponsoring affiliations across universities that promoted the interchange of ideas, resources, and status. While not providing solutions to structural problems, relatively modest philanthropic investments can propel careers, stimulate scholarly activity, and confer social capital during crisis times.
Understanding Newton’s cradle. I: modelling the ideal cradle

Newton’s cradle is often discussed in science classrooms as a clear example of the laws of conservation of momentum and energy although it has been shown that this use is somewhat misleading. Approaches to understanding the behaviour of this apparatus are often over-simplified and deficient or over-complex and with little impact among teachers. In this paper, basic principles of mechanics are used to explain the behaviour of ideal cradles of various lengths and to use a simple model by which to simulate its operation. The purpose is to demonstrate that the real behaviour of Newton’s cradle provides a rich source of application of those principles in coming to terms with how the apparatus behaves and experiencing the process of modelling in physics.
Relationships Between World Skills Standards Specification (WSSS) And Career Maturity Among Final Year Mechatronics Engineering Students

The purpose of this paper is to find out the relationship between world skills standards specification (WSSS) and career maturity among final year mechatronics engineering students. This study was conducted in one university in Malaysia. A convenient sample of 80 final year students majoring in Mechatronics Engineering was selected from one public university. Work management and organization skill, interpersonal and communication skill, information and documentation skill, software programming and schematic circuit skill were the elements used as variables of world skills standard specification. Career Maturity Inventory adapted from (The Career Maturity Inventory – Revised; Crites & Savickas, 1996) serving as the dependent measure and a set of questionnaire was used as instrument in quantitative research to collect the data. The result showed that there is negative relationship between career maturity and interpersonal and communications skill. However, there were not statistically significant between career maturity and work management and organization skill, information and documentation skill and software programming and schematic circuit skill. Only limited correlation was found therefore it was concluded that there is no relationship between world skills standard specification and career maturity. This paper offers knowledge extension and recommendations for practice and research.
Assessment of Plant Diversity of Selected Forest Sites of Aurangabad District of Bihar

Vegetation is primary source for energy which transfer to other trophic levels. Environment of an area effects the vegetation of an ecosystem (Billings, 1952). Structure and function of plant community can be understood by phyto-sociological study of the area. It explains and predicts pattern in a meaningful manner (Braun Blanquet, 1932, Odum, 1971). Therefore, for proper understanding of plant diversity of any area, phyto-sociology aspects should be thoroughly studied. Biodiversity in wild state has its far reaching importance as species have diverse genotypes which can further be exploited. Forest are storehouse of the biodiversity, therefore, it is need of the hour to assess and conserve the forest biodiversity. However, owing to burgeoning population coupled with rapid industrialization plant resources are under tremendous pressure. It has resulted decline of plant diversity in forest ecosystem. Convention of Biological Diversity also asserted the need of regular inventorization and monitoring of biodiversity for sustainable utilization. The state of Bihar has recorded forest area of 6877 km 2 , which is 7.3% of its geographical area. The Reserve, Protected and Unclassified Forests are 693 km 2 , 6183 km 2
Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics

Cowpea bean is a common crop quite appreciated in Brazil. However, it is known that its low yield depending on soil and climatic conditions. The aim of this research is the selection of high-performance black-eyed cowpea through GYT biplot analysis. Twelve (12) cowpea bean strains were assessed between 2016 and. The study followed a randomized complete block design, with four repetitions; two commercial cultivars were used ascheck. The following variables were assessed: number of days required for flowering, final stand, value for cultivation, pod yield, pod length, mean number of grains per pod and grain weight. The analysis of variance showed genetic variability between strains, differences between the assessed years and different strain-performance in each growing year. Based on the GYT biplot graph, cultivar BRS Itaim, and strains L9 and L7 recorded the best performance for the set of yield characteristics. Variable ‘pod length’ had positive correlation to bedding, number of days required for flowering and number of grains per pod. Variable ‘100-grain weight’ had positive correlation to final stand, pod yield and mean grain weight per pod. Strains L9, L7 and cultivar BRS Itaim recorded the best yield regarding the assessed variables.
Deep Manifold Structure-Preserving Spectral–Spatial Feature Extraction of Hyperspectral Image

The deep network has shown its superiority to extract discriminative features for hyperspectral image (HSI) classification. However, most existing methods only exploit label information of land classes to supervise the learning of deep features, and the learning process is totally automatic. Considering the complex spectral–spatial characteristic in real HSI, it is reasonable to utilize the manifold structure of input data to provide complementary information for precise classification. This article proposes a structure-preserving spectral–spatial network (SPSSN) to exploit the manifold structure information during the feature learning process, which can extract discriminative deep structure-preserving spectral–spatial features. Specifically, a basic spectral–spatial network (SSN), comprising a spectral module and a spatial module connected in series, is first built to learn spectral–spatial features from HSI cubes. Second, a novel structure-preserving constraint is introduced to transfer the intrinsic manifold structure of the input data into the learned deep spectral–spatial features, so as to enhance the discrimination. Furthermore, a feasible algorithm of imposing the constraint is designed to make it compatible with the deep learning framework, which results in a structure-preserving loss. Finally, the SSN is combined with the structure-preserving loss to obtain the SPSSN. Experiments on real HSI datasets verify the effectiveness and superiority of the SPSSN compared with several state-of-the-art methods in HSI classification.
I Am Not Represented Here: Cultural Frameworks and Indigenous Methodology Primer for Postsecondary Settings

The purpose of this article is to share approaches for Indigenous students who are novice researchers at post-secondary settings in finding space and culturally relevant ways of representing their worldview in research through Indigenous methodologies and cultural frameworks. While there may be some similarities between Indigenous methodologies and Western qualitative research approaches, there are obvious cultural differences. This article presents an example of an Indigenous Māori centered approach and examples of Aboriginal approaches using Indigenous research methodology through cultural frameworks that may have relevance to both Indigenous students and non-Indigenous allies who support them on their research journey.