Miracle-dz/UniFAR-FTUs huggingface dataset:
Change Law of Hyperspectral Data in Related with Chlorophyll and Carotenoid in Rice at Different Developmental Stages

The hyperspectral reflectances of the canopy, the first and the third unfolding leaves from the top and the panicles of two rice varieties (Xiushui 110 and Xieyou 9308) were measured by a ASD FieldSpec Pro FR TM in field and indoor environments under three nitrogen levels at different developmental stages. The concentrations of chlorophyll and carotenoid in leaves and panicle corresponding to the spectra were determined by biochemical method. The spectral differences were significant for rice under different nitrogen levels, and the concentrations of chlorophyll and carotenoid in leaves increased along with increasing applied nitrogen. There were more pronounced differences for the pigment concentrations in rice leaves with different nitrogen levels. The spectral reflectance of canopy was gradually getting smaller in the visible region and bigger in the near infrared region as the growth stages followed before heading, but with reverse change after heading. There existed 'blue shift' phenomena for the position of red edge in the spectra of canopy, leaves and panicle after heading. The concentrations of chlorophyll and carotenoid in leaves presented S-shape change. The concentrations of chlorophyll and carotenoid in canopies, leaves and panicles were highly significantly correlated to the hyperspectral vegetation indices (Vis) R990/R553, R1200/R553, R750/R553, R553/R670, R800/R553, PSSRa, PSNDa and the red edge positionλred, indicating that these VIs could be used to estimate the concentrations of chlorophyll and carotenoid in canopies, leaves and panicles of rice.
A Genetic Algorithm For Scheduling JobsWith Burst Time And Priorities

Scheduling play extremely important role in our day-to-day life, same as the performance of system is highly affected by the CPU scheduling. For the better scheduling the performance is depend upon the parameter of jobs (arrival time, burst time, priority etc). In this paper we proposed a method for process scheduling using a deadline aware approximation algorithm (Genetic Algorithm) to provide efficient process scheduling, where required schedule is nearby or equal to SJF schedule. We made a comparison among PreemptivePriority algorithm, Preemptive SJF algorithm and GA in terms of number of test case and Total- Turnaround-Time (TAT). The results demonstrate that GA approach produces solutions very close to the optimal SJF algorithm and far better than Priority algorithm.
Measurement of The Adoption of Facebook

Facebook.com is increasingly being used by young people. Such technology affects people in many facets. The purpose of this research is to develop a measurement model assessing the adoption of Facebook.com; then this model will be used in future research. Undergraduate students (n=382) in a Thai university were selected; exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to analyze the data. The results show that five components named as the following: ‘Intensity’, ‘News’, ‘Snoop’, ‘Information Receiving’, and ‘Relationship Management’, are accepted as the components to measure the adoption of Facebook.com. Suggestions for future research are addressed in the end.
Social Network Analysis as Intervention Tool

This article uses cases from the field to demonstrate the potential of network analysis as an intervention tool. Social networks are defined as sets of contacts linking individuals. These networks may be represented by "adjacency matrices. " Analysis of adjacency matrices is found especially useful for diagnosing formal organizational arrangements, for identifying coalitions, and for analyzing intergroup relations.
Seasonal and spatial dynamics of a ciliate assemblage in a warm-monomictic Lake Alchichica (Puebla, Mexico)

The distribution of the ciliate assemblage was surveyed along a depth gradient in the maar crater, athalassohaline, warm monomictic Lake Alchichica (Puebla, Mexico) from June 2003 to October 2006 (monthly). DAPI staining was employed to count ciliates while the Quantitative Protargol Staining was used for their identification. Peritrichs often numerically dominated the ciliate assemblage; a maximum of 54 cells ml-1 (Rhabdostyla sp.) was observed in the surface layer at the end of the mixing period, during the development of diatoms (Cyclotella alchichicana), cyanobacterial (Nodularia sp.) bloom and its decay. Minute spirotrichs (particularly Halteria grandinella) and a haptorid, Belonophrya pelagica occasionally dominated the epilimnion while mixotrophic Euplotes cf. daidaleos and Pelagothrix sp. were important round the oxycline along with haptorids, particularly Phialina sp. Scuticociliates Cyclidium glaucoma, Uronema nigricans, and anaerobic ciliates Isocyclidium globosum and Caenomorpha sp. dominated within the hypolimnetic assemblages.
Effects of habitat degradation on avian guilds in East African papyrus Cyperus papyrus swamps

The density and species richness of bird communities in disturbed and undisturbed stands of papyrus Cyperus papyrus were compared. Point counts, corrected for different probabilities of detection in different swamps, suggested that the species richness of bird communities in stands of papyrus disturbed by burning, grazing or pollution was higher than in nearby stands that were not disturbed. However, there were fewer species and individuals of highly specialized birds or species characteristic of papyrus, in disturbed stands than in undisturbed swamps. At < 1 ha-1, the density of Papyrus Gonolek Laniarius mufumbiri in Ugandan swamps was, for example, significantly lower in polluted and burnt sites than in undisturbed papyrus where up to 13 ha-1 were recorded in the centre of swamps. White-winged Swamp Warbler Bradypterus carpalis was only recorded in undisturbed papyrus. In the papyrus that fringes Lake Naivasha in Kenya, outside the geographical range of species restricted to papyrus, disturbance in the form of grazing selects against species classified as swamp-reliant. Species classified as generalist users of papyrus were much less sensitive to disturbance than specialists. The density of swamp specialists was also lower near the edge of swamps, where total species richness was higher. These results are discussed in relation to conservation management of papyrus swamps in East Africa.
Beyond Disability Civil Rights

This Article argues that to be effective both domestic and international disability rights must adopt a disability human rights paradigm. Such a framework combines the type of civil and political rights provided by antidiscrimination legislation (also called negative or first-generation rights) with the full spectrum of social, cultural, and economic measures (also called positive or second-generation rights) bestowed by many human rights treaties. By acting holistically, this agenda accounts for factors normally exogenous to civil rights laws and ensures that individuals can flourish and participate in their societies. Accordingly, our intention is to share some thoughts on how to best provide disabled citizens with equal opportunity rather than “merely” equal treatment. Internationally, States and civil society organizations have been developing innovative and effective equality measures. We draw on their experiences in providing examples of how disability legislation ! and policy can be developed to implement a more holistic human rights approach. These lessons are also pertinent for invigorating the ADA.The Article proceeds as follows: Parts I and II briefly overview the origins, moral salience, and limitations of the social model’s disability civil rights agenda. Next, Part III advocates for a more integrated, human rights-based approach to disabled empowerment based on a disability human rights paradigm as exemplified by the forthcoming UN Disability Rights Convention. Finally, Part IV briefly illustrates how international practices, in line with a disability human rights based framework can facilitate the development of more effective disability legislation and policy.
Modeling Coordinated Contracts for a Supply Chain Consisting of Normal and Markdown Sale Markets

The results of a study of the coordination effect in stocking and promotional markdown policies for a supply chain consisting of a retailer and a discount outlet (DCO) are reported here. We assume that the product is sold in two consecutive periods: the Normal Sales Period (NSP) and the subsequent Promotional Markdown Sales Period (PSP). We first study an integrated supply chain in which managers in the two periods design a common system so as to jointly decide the stocking quantities, markdown time schedule, and markdown price to maximize mutual profit. Next, we consider a decentralized supply chain. An uncoordinated contract is designed in which decisions are decentralized to optimize the individual party’s objective function. Here, three sources of system inefficiencies cause the decentralized system to earn a lower expected system profit than that in the integrated supply chain. The three sources are as follows: in the decentralized system the retailer tends to (1) stock less, and (2) keep a longer sales period, and the DCO tends to (3) stock fewer leftovers inventories and charge a higher markdown price. Finally, a numerical experiment is provided to compare the coordinated model with the uncoordinated model to explore factors that make coordination an effective approach.
VLBA Observations of Bright High Frequency Peakers

Abstract The anticorrelation between the turnover frequency in the radio spectrum and the projected linear size (indicative of the age in the currently favoured youth model) in powerful and intrinsically compact radio sources suggests that the youngest objects must have the highest turnover frequencies. We present preliminary results of new VLBA observations of a sample of sources peaking at frequencies higher than a few GHz, making them good candidates for being newly born sources. Our initial analysis deals with the morphological classification which allows us to study the contamination from beamed sources dominated by a single unresolved component.
An Implementation of the Frequency Matching Method

During the last decade multiple-point statistics has become in-creasingly popular as a tool for incorporating complex prior information when solving inverse problems in geosciences. A variety of methods have been proposed but often the implementation of these is not straightforward. One of these methods is the recently proposed Frequency Matching method to compute the maximum a posteriori model of an inverse problem where multiple-point statistics, learned from a training image, is used to formulate a closed form expression for an a priori probability density function. This paper discusses aspects of the implementation of the Frequency Matching method and the techniques adopted to make it com-putationally feasible also for large-scale inverse problems. The source code is publicly available at GitHub and this paper also provides an example of how to apply the Frequency Matching method to a linear inverse problem.
Bioresorbable Polymers for Tissue Engineering

Polymeric biomaterials are used as substitutes for damaged tissue and for the stimulation of tissue regeneration. One class of polymeric biomaterials are bioresorbable polymers that degrade both in vitro and in vivo and are used as a temporary support for tissue regeneration. Among the various types of bioresorbable polymers, -hydroxy acids including the different forms of poly(lactic acid) (PLA), such as poly(L-lactic acid), poly(Dlactic acid) and poly(DL-lactic acid), as well as poly(glycolic acid) and polycaprolactone, have been extensively studied. These polymers are well known for their good biocompatibility, with their degradation products being eliminated from the body by metabolic pathways. Many reports have shown that the different PLA-based substrates do not present toxicity since the cells were found to differentiate over the different polymers, as demonstrated by the production of extracellular matrix components by various cell types. In this chapter, we describe the use of -hydroxy acids, highlighting the different forms of PLA scaffolds used as cell culture substrates and their applications in clinical practice. The chapter is divided into (1) Introduction; (2) Bioresorbable devices as cell culture substrates; (3) Cell adhesion to polymer substrates; (4) Tissue engineering and bioresorbable polymers; (5) Cell growth and proliferation on bioresorbable polymers; (6) Bioresorbable polymers for cartilage engineering; (7) Bioresorbable polymers for bone tissue engineering; (8) Bioresorbable polymers for skin tissue engineering, and (9) Conclusion.
Longitudinal Study of Loneliness , Health , and Mortality in Old Age

This study examines the relationship between loneliness, health, and mortality using a representative sample of 2,101 adults aged 50 years and over from the 2002 to 2008 waves of the Health and Retirement Study. Our analyses allow reciprocal relationships between loneliness, depressive symptoms, and health, and thus provide more rigorous assessments of the causal directions. Feelings of loneliness are associated with increased mortality risk over a 6-year period, and this relationship is diminished when depressive symptoms and physical health are added to the model. Further analyses of the relationship between loneliness and physical health using structural equation models show that loneliness has negative 2-year cross-lagged effects on self-rated health and positive effects on functional limitations even when the reciprocal effects of self-rated health and functional limitations on loneliness are taken into account. Consistent with our theoretical model of loneliness, the effect of loneliness on self-rated health is fully explained by the effect of loneliness on depressive symptoms, and the direct effect of loneliness on functional limitations persists even when its indirect effect on functional limitations through depressive symptoms is taken into account.
From Roscovitine to CYC 202 to Seliciclib – from bench to bedside : discovery and development

From Roscovitine to CYC202 to Seliciclib – from bench to bedside: discovery and development Nikolai Zhelev, Dimitar Trifonov, Shudong Wang, Moustapha Hassan, Ibrahim El Serafi,Vanio Mitev 1 School of Science, Engineering & Technology, University of Abertay Dundee, Bell Street, Dundee,UK, DD1 1HG 2 Division of Health Sciences, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia 3 Experimental Cancer Medicine (ECM), Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden 4 Clinical Research Centrum, Karolinska University Hospital Huddinge, Stockholm, Sweden 5 Department of Chemistry and Biochemistry, Medical University of Sofia, 1431 Sofia, Bulgaria
Numerical simulation of ambient vibration test based on dynamic analysis in time domain

Structural health monitoring (SHM) is a process based on damage identification algorithms to provide an economical and possibly more reliable solution to infrastructure condition assessment. The main principle of SHM is based on using vibration data that are acquired by dynamic tests. Ambient loads are one of the useful and applicable vibration forces that are widely used in the civil infrastructure. The main objective of this study is to compare some numerical methods including state space method (SSM), linear Newmark method (LNM), and central difference method (CDM) for the simulation of acceleration time history caused by applying the ambient vibration. In order to demonstrate the results of numerical simulation, a numerical model of the reinforced concrete beam is constructed based of finite element modelling. Caughey damping model is applied rather than Rayleigh model due to considering two more modes in the dynamic behaviour of structure. To excite the structure, different Gaussian white noises are subjected to all the transitional degree of freedoms that virtually equipped with sensors. Numerical results show that both SSM and LNM one can reliably simulate the acceleration responses; however, the state space method obtains more accurate responses. In contrast, the CDM cannot provide meaningful and trustworthy results.
Three-dimensional visualization of magnetic domain structure with strong uniaxial anisotropy via scanning hard X-ray microtomography

An X-ray tomographic technique was developed to investigate the internal magnetic domain structure in a micrometer-sized ferromagnetic sample. The technique is based on a scanning hard X-ray nanoprobe using X-ray magnetic circular dichroism (XMCD). From transmission XMCD images at the Gd L3 edge as a function of the sample rotation angle, the three-dimensional (3D) distribution of a single component of the magnetic vector in a GdFeCo microdisc was reconstructed with a spatial resolution of 360 nm, using a modified algebraic reconstruction algorithm. The method is applicable to practical magnetic materials and can be extended to 3D visualization of the magnetic domain formation process under external magnetic fields.
Pentane-Methanol Mixture as a Model of the Stationary Phase in Reversed-Phase Liquid Chromatography Using Octadecyl-Bonded Silica Gel and Methanol

A pentane-methanol mixture was taken as a convenient model of practical stationary phase functioning in the reversed-phase liquid chromatography (RPLC) system consisting of octadecyl-bonded silica gel (ODS) and methanol. The capacity factor ( k ′) of tris( β -diketonato)chromium(IH) or bis( β -diketonato)palladium(II) observed in the ODS/methanol system was compared with the ratio of the solubility of the complex in a pentane-methanol mixture to that in methanol. A pentane-methanol mixture, containing methanol in a mole fraction range 0.42-0.66, was found to be a medium comparable to the stationary phase in the RPLC, because the distribution of the complex was similar. Furthermore, the incorporation of methanol into alkyl-moiety of ODS was confirmed experimentally. The above facts suggest that the stationary phase functioning in the RPLC consisting of ODS and methanol is a mixed phase of the alkyl-moiety of ODS and methanol incorporated from the mobile phase into the moiety for the complex tested.
A Survey on Modified SVM for Image Segmentation

In image analysis, segmentation is the partitioning of a digital image into multiple regions according to some homogeneity criterion. There are a wide variety of approaches that are used for segmentation and different approaches are suited to different types of images. Segmentation is the process of partitioning an image into non-intersecting regions such that each region is homogeneous and the union of no two adjacent regions is homogeneous. Support Vectors Machines (SVM) have recently shown their ability in pattern recognition and image classification (Vapnik, 1995). The aim of this paper is to evaluate the potentiality of SVM on image recognition and image classification tasks.
Chemical and Therapeutic Study of Nannochloropsis oculata on Spleen of Streptozotocin Induced Diabetes in Rats

Diabetes is considered as the most prevalent metabolic disease. Nannochloropsis oculata is well known by its beneficial values due to the presence of various bioactive compounds. In the present study, Streptozotocin (STZ) induced diabetes resulted in a significant (P<0.05) decrease in all hematological measurements. In addition, it caused significant (P<0.05) elevation in the Lipid Peroxidation Product (LPO) level associated with lowering Total Antioxidant Capacity (TAC) level in the spleen tissue. The N. oculata algal extract restored levels of these measurements to normalcy. The present study revealed that N. oculata contains fat soluble vitamin (β-carotene; 79.069 μg/g) and water soluble vitamins (Vitamin B3, B6 and B12; 3.811, 2.531 and 2.475 μg/g, respectively). Furthermore, it contains various micro and macro minerals (Calcium 20.90% and iron 4924 ppm) in addition to presence of phenolics, chlorophylls and carotenoids. The chromatographic analysis identified presence of flavonoids, pyrogallol (179.65 μg/g) and catachine (46.00 μg/g) in ethyl acetate extract. Also, four phenolic compounds (cinnamic acid, p-comaric acid, p-hydroxy benzoic acid and gallic acid) were isolated and identified by column chromatography. In conclusion, Nannochloropsis oculata algal extract showed scavenging activities against oxidative stress induced by STZ in spleen tissue of diabetic rats.
Multimodal texture analysis of OCT images as a diagnostic application for skin tumors

Optical coherence tomography (OCT) is an effective tool for determination of pathological topology that reflects structural and textural metamorphoses of tissue. In this paper, we propose a report about our examining of the validity of OCT in identifying changes using a skin cancer texture analysis compiled from Haralick texture features, fractal dimension, complex directional field features and Markov random field method from different tissues. The experimental data set contains 530 OCT images with normal skin and tumors as Basal Cell Carcinoma (BCC), Malignant Melanoma (MM) and Nevus. Speckle reduction is an essential pre-processing part for OCT image analyze. In this work, we used an interval type-II fuzzy anisotropic diffusion algorithm for speckle noise reduction in OCT images (B- and/or C-scans). The Haralick texture features as contrast, correlation, energy, and homogeneity have been calculated in various directions. A box-counting method and other methodologies have been performed to evaluate fractal dimension of skin probes. The complex directional field calculated by the local gradient methodology provides important data for linear dividing of species. We also estimated autocorrelation function using Markov random fields. Additionally, the boosting has been used for the quality enhancing of the diagnosis method. And, finally, artificial neural network (ANN) has been utilized for comparing received rates. Our results demonstrate that these texture features may present helpful information to discriminate a tumor from healthy tissue. We obtained sensitivity about 92% and specificity about 95% for a task of discrimination between MM and healthy skin. Finally, a universal four classes classificatory has been built with average accuracy 75%.
Studying the impact of minority views in a computational model of collective sensemaking: The role of network structure

A series of experiments were performed in order to explore the effect of communication network structure on collective sensemaking under a variety of informational conditions. A multi-agent computational model of collective sensemaking was used in which each agent was implemented as a constraint satisfaction network. Within the simulations, agents were tasked with the interpretation of information indicating the presence of a particular object, and they were allowed to share information with other agents while performing this task subject to the constraints imposed by the structure of a communication network. In all simulations, a minority of agents (5) received evidence in favor of one interpretation, while a majority of agents (15) received evidence in favor of a conflicting interpretation. Communication networks with four types of topological structure (i.e., disconnected, random, small-world and fully-connected) were used in the experiments. The results suggest that network topology influences the extent to which minority views are able to influence collective cognitive outcomes. In particular, fully-connected networks deliver a performance profile in which minority influence is minimized in situations where both minority and majority groups are exposed to weak evidence. However, the same networks serve to maximize minority influence when minority group members are selectively exposed to strong evidence. These results suggest that fully-connected networks differentially regulate minority influence based on the kinds of evidence presented to both minority and majority group members.