Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis on Restoration of Fertility and the Main Related Yield-characters for K-type Male Sterile Line

With 36 hybrids were crossed by four sterile lines and nine restorer lines as test materials,study its restoring degrees and analyze its correlation and path coefficient of yield.The results showed that among the four sterile lines,A116 has the best easy restoration of fertility,the next are A306 and A1129,KJ32A is the last one.Among the nine restorer lines,RE9,R92,RE6,R45233 are a group of high and stable restorer lines,their average restoring degrees all exceed 70%. R538,R45231,R159,R198 are the medium group of restorer lines,their average restoring degrees are between 64% and 70%. R417 is a type of lower restoring ability.There are interactive effects between different sterile lines and restorer lines.Among the three yield component factors(effective ears,grains per ears,1000-grain weight),effective ears and grains per ears have bigger contributions.In conclusion,A116 has to the extend value in hybrid wheat;at the same time,we should emphasize selction of population and grains per spike during breeding hybrid wheat combination.
Net Irrigation Water Requirements for Wheat in Egypt Under Climate Change Conditions عمق ماء الرى الصافى لمحصول القمح فی مصر تحت تأثیر التغیرات المناخیة

Egypt appears to be particularly vulnerable to climate change especially with water scarcity problem. Climate change not only affects the temporal and spatial distribution of water resources, but also will increase the crop water consumption ( ). The aim of this study is to estimate the effects of climate change on irrigation requirement ( ) for ''Wheat" at different geographic regions in Egypt: El-Dakahlia, El-Fayoum and Assuit governorates were selected as Lower, Middle and Upper Egypt regions. The climate change data has been obtained from ''MIROC-ESM'' climate model with ''RCP 8.5'' climate scenario during 2018, 2040 and 2080 as a current, short and long term periods respectively. The results showed that the ETc would increase by 5 %, 8 % and 13 % in 2040 but, in 2080 would decrease by 8.5 % in Assuit. Whereas, in El-Dakahlia and El-Fayoum would increase by 8 % and 13 % respectively. The IR values would increase by 12 %, 21 % and 14 % to become ( 636.61 mm/season),(572.3mm/season) and (331.25 mm/season) in 2040 for Assuit, El-Fayoum and El-Dakahlia, respectively. But, expected to decrease in Assuit by 15 % to reach (478.4 mm/season) and increase by 23 % and 17 % to be (584.01 mm/season) and (339.85 mm/season) in 2080 for El-Fayoum and El-Dakahlia, respectively. These results indicated that, climate change would increase the water consumption for wheat in all examined regions in Egypt, and the highest impact would be in Middle and Lower Egypt followed by Upper Egypt during 2040 and 2080.
Incorporating Spectral Indices and Textural Features for Improved Classification Accuracy Towards Semi-Automated River Sand Mapping Using High-Resolution Multispectral Satellite Imagery

For the ephemeral river channels in semi-arid regions of India, after every Monsoon season, prompt preparation of river sand distribution maps is often necessary for river sand auditing before resuming the sand mining operations. The process can be readily assisted by classifying the satellite-based remotely sensed imagery, although often confronted by limited accuracy levels arising due to poor distinguishing capability among the spectrally similar classcategories. This study aims to improve the classification accuracy targeting river sand deposits by systematically examining the effects of including spectral indices and textural features in the feature-space while classification. Two most common classification algorithms, viz. Maximum Likelihood Classification (MLC) and Support Vector Machine (SVM) classification were used. The results show that SVM performed even better when Normalized Difference Vegetation Index (NDVI) and correlation texture feature computed at 3x3 window size were included in the feature-space comprising original spectral bands.
Determinants of the Use of Intuition in Decision-making – an Empirical Study

Objective : The aim of the article is to identify the determinants of using intuition in decision-making processes among top management. Research Design & Methods : Survey method (sample selection: random, stratified disproportionate, data collection method: CATI, sample size: 300 completed questionnaires). Findings : I produced a typology of the determinants of intuition used in decision-making processes and a proposal for ordering them in a hierarchy. Implications / Recommendations : The hierarchy of determinants differs depending on the decision-making style represented by the respondents. When valuations were made by respondents representing all decision-making styles, only internal determinants were recognised as crucial. In the opinion of intuitive decision-makers, the factors determining the use of intuition in decision-making practice are, with the exception of experience, external and include environmental conditions and the type and structure of the decision problem being confronted. Contribution : The study identifies and empirically verifies an orginal typology of determinants of intuition used in decision-making.
Investigating the Influence of SCs and PCs on Existence of Human Capital of Rural Entrepreneurial Activities and Small Businesses: Managerial Implications

Human capital represents one of the primary essentials to successful entrepreneurial activities. As such, there is the need to determine the relationships between specific and personal challenges and the existence of human capital towards rural entrepreneurial activities. This study seeks to empirically investigate the influence of specific and personal challenges on the existence of human capital of entrepreneurial activities. A quantitative approach was adopted aided by a 7 Likert-scale questionnaire to solicit primary data for theory testing in order to either accept or reject the formulated hypotheses. A total of 300 owner-managers were selected through the simple random sampling approach. The main reasons for using this approach are to avoid bias during the sample selection process and for more representation of research participants. The author employed different analytical tools namely descriptive statistics, the exploratory factor analysis (EFA) and the Pearson’s Correlation Coefficient to test the relationship between specific (SCs) and personal challenges (PCs) on existence of human capital (EHC). Empirically this study found that SCs in terms of marketing challenges experienced a weak negative correlation on EHC, in terms of environmental challenges SCs there is negligible positive correlation with EHC. Besides, the study found that SCs in terms of managerial challenges lack correlation with EHC. Also the study found that PCs regarding human resources challenges shows weak negative correlation with EHC. However, PCs in terms of record keeping shows negligible positive correlation with EHC. The study recommends that more training should be offer to owner-managers through the establishment of local entrepreneurial hubs. There is the need to provide tailored-made role models to help` rural owner-managers of small businesses.
The Effect of Service Quality and Customer Satisfaction Towards Customer Perception of Telkomsel’s Kartu AS

The purpose of this paper is to find out the determinants that are significantly influencing Telkomsel’s customer’s perception. The study surveyed 100 Telkomsel users to determine the key influential factors that significantly influence on their perception. The data analyses were conducted by exploratory factor analysis, confirmatory factor analysis and structural equation modeling to test the hypothesis. The results of the statistical analysis reflected that most of the Telkomsel’s customers are highly concerned about service quality. The researcher hoped that the findings may assist the mobile phone operators in production of their services and promotion of their services.
A Hitting Time Analysis of Non-convex Optimization with Time-Varying Revelations

—Time-varying optimization is an integral part of online learning, where we minimize a function whose values are revealed over time. To understand the time-varying phenomenon of optimizing non-convex functions with changing local or global minima, we propose to study two models of time variation. In the ﬁrst model, additive noisy evaluations of functions are revealed over time, for which we obtain bounds for the local minima of the revealed function to coincide with those of the true function. Moreover, we generalize the additive noisy model to a linear variation model, and deﬁne the notion of shape dominant operator. In this second model, the noisy revealed function is able to reach the true function quickly — both the bias and noise decrease exponentially fast. Under the further assumption of sub-Gaussian perturbation, we bound the hitting time for reaching a neighborhood of the target function. Even though the theoretical analysis is performed for discrete functions, we discuss the implications of our results on optimization over continuous domains.
Prediction of Stresses Around Tunnel in Rock during Advancing TBM

Article history: Received 29 June 2020 Accepted 11 August 2020 Drilling machines (TBM) used for civil engineering work in large towns to significantly reduce the harmful effects of expenditure on the earth's surface. The tunneling process complicated due to the dependence of this relationship on construction technology that lead to undesirable consequences such as damage to adjacent structures, so the use of the finite element method has become common to simulate construction stages model using the Hoek-Brown ,the methodology includes using the finite element method by constructing the model to predict the behavior of stresses during the tunnel construction stages and to collect the required data so that it is appropriate to the requirements of the region and to analyze the parameters of the numerical model entry and comparing the natural condition of the rocks during the various tunnel construction stages. During tunneling development, vertical stresses at the top and bottom of the tunnel are reduced while horizontal stresses are increased. Three vertical sections are selected to test the TBM tunnel 's impact on nearby rocks. The first section (x = 0) passes through the center of the tunnel. The second section is near the side edge of the tunnel whereas the third section is more or less selected than the edge of the tunnel. Progression of TBM is reflected through one to five phases. By conducting an axial symmetric FE analysis, the results of math measurement showed major changes in stress that occur in rock regions near the tunnel boundary mostly affects closeness to rocks. This increasing pressure decreases as you step horizontally away from the tunnel and the seams achieve exceedingly small values for lengths greater than 12 m from the edge of the tunnel.
Bearing capacity of rafter systems made of steel thin-walled structures in attic roofs Несущая способность стропильной системы из стальных тонкостенных конструкций в чердачных крышах

V.A. Rybakov Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia M. Al Ali Technical University in Košice, Košice, Slovak Republic A.P. Panteleev, K.A. Fedotova, A.V. Smirnov, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Канд. техн. наук, доцент В. А. Рыбаков Санкт-Петербургский политехнический университет Петра Великого, г. Санкт-Петербург, Россия канд. техн. наук, заведующий кафедрой М. Ал Али Технический университет г. Кошице, г. Кошице, Словакия студент А. П. Пантелеев, студент К. А. Федотова, студент А. В. Смирнов, Санкт-Петербургский политехнический университет Петра Великого, г. Санкт-Петербург, Россия
Object-based land use/land cover change detection of a coastal city using Multi-Source Imagery: a case study of Lagos, Nigeria

In the wake of the burgeoning population, socio-economic and environmental issues facing coastal areas, LULC change detection has become an essential tool for environmental monitoring towards achieving sustainable development. In this study, an object-based image analysis approach using post-classification comparison technique was applied for assessing the LULC of the coastal city of Lagos from 1986 to 2016. The study describes how satellite imagery from different sources (Landsat and SENTINEL 2A) can be successfully integrated for Land use Land cover change detection. The results show that between 1986 and 2016, there were net increases in bare areas, built-up areas, and shrublands and a general decline in forestlands, waterbodies and wetlands. Over 60,000ha cover (approx. 190% increase) was converted into built-up areas while 83,541ha (835.4km2) of forestland were lost, suggesting high rates of urbanization and corresponding deforestation. About 60% loss of wetlands was also observed in the same time period. The decrease in water bodies and a steady increase in bare and built-up areas are possibly due to the prevalent land reclamation activities in the study area. Higher rates of deforestation and increase in bare areas were observed from 2001 to 2016 in comparison to 1986 to 2001. The observed trends are likely to continue, and for future management actions, predictive studies are suggested to provide more empirical evidence.
A Graph-Based Method for Predicting the Helpfulness of Apps Opinions

This paper presents a new approach to predict the helpfulness of opinions. Usually, researchers in this area use tables of attribute-value to aggregate the features that represent the evaluated texts. Although that representation is common, it considers that the objects are independent. We argue that among the discriminant factors of the helpfulness of opinions, there are dependent factors of the relationship among the opinion-forming elements. Thus, we modeled this task as a network, considering the information of relations among objects in the network (comments, stars, and words). A regularization technique of graphs is used to extract the relevant features of graph structure and, after that, the comments are classiﬁed as helpful or unhelpful. We compared our network model with two baselines methods, one based on fuzzy logic and another based on Neural Networks. Our model outperformed the fuzzy logic and Neutal Network methods in 0.17 and 0.19 of F-measure, respectively. The main advantages of our approach are that few data are necessary to helpfulness classiﬁcation and the relationships may help in the understanding the classiﬁcation, explaining the reasons for a determinate classiﬁcation.
Excursion in Reality-The Nordic Model Revisited

Nordic countries have for a long time appeared at the top of global happiness and welfare comparisons. They combine this achievement with high scores in economic performance. This marvel may be due to shared history and culture, but it also manifests itself as a largely publicly financed welfare state in an otherwise liberal market economy – the Nordic Model. In reality, many aspects of the model have been drastically reformed in the past two decades. The welfare sectors themselves have in most Nordic countries been quite cost-effective according to international comparisons, but ageing of the population is expected to raise costs in all of these countries. In Denmark and Sweden, much of the emphasis has been in reforming the labor markets, while Norway, with its enormous oil wealth, is apparently mostly focusing on keeping Dutch disease at bay. Finland is about to start the biggest policy reform of her post-war history that re-shapes both the funding and organization of her health care and social service sectors, and has effects on the centralization of decision-making and, fundamentally, the welfare of the citizenry. The full extent of the reform is yet to be defined, but it is clear that it will result in a geographically more concentrated, if also more de-regulated, provision of many welfare services. This paper studies the aspects of centralization of specialised health care on the one hand, and the more cost-efficient provision of care for the elderly using a regional CGE model of Finland.
Structural and functional analysis of cytochrome b protein of Indian major carps Labeo rohita

Mitochondrial Cytochrome b is a monomeric, monoheme protein which is found in eukaryotic cells that facilitate electron transport during cellular respiration. In this present study cytochrome b protein of Labeo rohita was selected for a detailed computational investigation to exploit its physicochemical characteristics, structural properties including 3D model, model quality analysis, phylogenetic assessment and functional analysis using several available standard Bioinformatics tools. Physiochemical characterization was performed for identification of protein by computing theoretical isoelectric point (pI), molecular weight, extinction coefficient, instability index and aliphatic index etc. Secondary structure assessment of cytochrome b protein of Labeo rohita used PSIPRED and revealed a greater percentage of residues as the alpha helix. This protein having an average molecular weight about 42781.76 Da was found thermostable and alkaline and belonging to a metal enzyme. After prediction, the structure has been validated through Ramachandran plot and Rampage validation tools, this homology modelling based structure will provide an in site to its functional aspects. And then we used different standard server for active site prediction and found an active site. After that, we get the protein-protein interaction site through the string server. And finally submit this predicted 3D model in PDBM server and we get an accession no. PMID: PM0081835.
Mixed convection of micropolar fluid on a permeable stretching surface of another quiescent fluid

In recent decades, micropolar fluid has been one of the major interesting research subjects due to the numerous applications such as blood, paint, body fluid, polymers, colloidal fluid and suspension fluid. However, the behavior of micropolar fluid flow over a permeable stretching surface of another quiescent fluid with a heavier density of micropolar fluid under the condition of mixed convection is still unknown. Thus, the current work aims to investigate numerically the mixed convection of micropolar fluid flow over a permeable stretching surface of another quiescent fluid. In this research, the similarity transformation is implemented to reduce the boundary layer governing equations from partial differential equations to a system of nonlinear ordinary differential equations. Then, this model is solved numerically using shooting technique with Runge-Kutta-Gill method and applied in Jupyter Notebook using Python 3 language. The behavior of micropolar fluid in terms of velocity, skin friction, microrotation and temperature are analyzed.
Linking Customer Needs of Refractory Suppliers with Technological Requirements on the Refractories

characteristics, the operating matrix the component characteristics with the process steps and the control matrix the process steps with operational steps [1]. Establish­ ing QFD would give the possibility to cope not only with increasing quality demands but can help to translate, categorize and prioritize customer needs [1]. In the present study, a planning matrix for refractories will be developed on the ex­ ample of products for application in steel ingot casting.
Modeling the Transmission and Dynamics of COVID-19 Using Self-protection and Isolation as Control Measures

In this paper, a deterministic five compartmental mathematical model is developed and conducted simulations to study the dynamics of COVID-19 with the inclusion of self-protection and isolation as control measures. The model is shown mathematically and biologically valid by verifying that the solutions are both positive and bounded. Using next generation matrix method, the reproduction number is formulated. The disease free equilibrium point is found and shown that it is conditionally locally and globally asymptotically stable. Further, following Lyapunov function method Endemic equilibrium point is found and shown that it is conditionally globally asymptotically stable. Numerical simulation study is conducted by assigning reasonable values to the parameters. It is concluded that the spread of the disease can be brought under control if the control measures like Self-protection including social distancing and Isolation are implemented affectively. The results and the discussion are presented in the body of the paper lucidly.
Two-year results of a double-blind multicenter randomized controlled non-inferiority trial of polyetheretherketone (PEEK) versus silicon nitride spinal fusion cages in patients with symptomatic degenerative lumbar disc disorders.

Background During lumbar spinal fusion, spacer cages are implanted to provide vertebral stability, restore sagittal alignment, and maintain disc and foraminal height. Polyetheretherketone (PEEK) is commonly used by most spine surgeons. Silicon nitride (Si3N4) is a less well-known alternative although it was first used as a spacer in lumbar fusion over 30 years ago. The present study was designed to see if Si3N4 cages would perform similarly to PEEK in a randomized controlled trial. Methods A non-inferiority multicenter 100-patient study was designed where both the observer and patient were blinded. Single- or double-level transforaminal lumbar interbody fusion with pedicle screw fixation using an oblique PEEK or Si3N4 cage was performed. The primary non-inferiority outcome was the Roland-Morris Disability Questionnaire (RMDQ). Secondary measures included the Oswestry Disability Questionnaire, Visual Analogue Scales (VAS) for back and leg pain, SF-36 Physical and Mental Function indices, patient and surgeon Likert scores on perceived recovery, and X-ray and CT radiological evaluations for subsidence, segmental motion, and fusion. Follow-up evaluations occurred at 3, 6, 12, and 24 months. Results After exclusions for protocol violations and canceled surgeries, 92 patients were randomized (i.e., 48 for PEEK and 44 for Si3N4). There were no differences in baseline demographics, pre-operative disabilities, or pain scores between the groups. Both treatment arms showed significant improvements in disability, pain, and recovery scores. No significant differences were observed for subsidence, segmental motion, or fusion. For the primary outcome (i.e., RMDQ scores), the non-inferiority of Si3N4 compared to PEEK could not be established using the original protocol criteria. However, the comparison was undermined by larger than anticipated patient fallout coupled with higher than expected RMDQ score standard deviations. A post hoc analysis coupled with a more extensive review of the literature was conducted which resulted in the selection of a revised clinically justified non-inferiority margin; and using this method, the non-inferiority of Si3N4 was affirmed. Conclusions This study demonstrated that the use of either PEEK or Si3N4 cages is safe and effective for patients undergoing lumbar spine fusion for chronic degenerative disc disease.