Miracle-dz/UniFAR-FTUs huggingface dataset:
The use of KPCA over subspaces for cross-scale superpixel based hyperspectral image classification

ABSTRACT This paper introduces a new object-based spectral-spatial classification method for hyperspectral image. The kernel principal component analysis (KPCA) is firstly performed over subspaces (KPCAsub) derived from the original spectral domain, which incorporates linear information with nonlinear formulation. The obtained image is then processed via a feature-level fusion with superpixel segmentation at different scales. The final classification result is achieved by a cross-scale superpixel based (CSSP) decision fusion framework based on each individual operation of support vector machine. The resulting method, called KPCAsub-CSSP, contributes to better characterization under-limited sample condition, and promotes spectral-spatial integration in terms of echoing the complex distribution of ground objects. The experimental results on two real hyperspectral data sets demonstrate that the proposed method exhibits good performance in comparison to the other related methods.
Diversity and Phylogeny of Actinomycetes of Arabian Sea Along the Gujarat Coast

Abstract The diversity and biotechnological potential of the haloalkaliphilic actinomycetes of the saline habitats are explored only in a limited sense. Albeit, they have been reported to produce various enzymes, organic acids, antibiotics, and other secondary metabolites. Therefore, we aimed to investigate marine actinomycetes with respect to their cultivation, morphology, biochemical properties, enzyme secretion, solvent tolerance, antibacterial activities and phylogeny. Further, the composition of cell wall and its sugar constituents and variation in multiple–antibiotic-resistance (MAR) suggested diversity of the actinomycetes of the studied habitats. In total, 20 haloalkaliphilic actinomycetes were identified and studied further. Based on the 16S rRNA gene sequences, most of these actinomycetes belong to the genus Nocardiopsis. However, Hae III restriction patterns of the 16S rRNA genes reveal eight main clusters, corresponding with the Jaccard’s similarity coefficient and phenograms based on the biochemical properties. The Canonical Correlation Analysis suggests that pH and temperature rather than salinity and conductivity of the saline habitat are determinants of the growth of actinomycetes. The polyphasic analysis was highly significant in judging the diversity and taxonomy of the marine actinomycetes. Besides, the evaluated phenetic attributes may help in the exploration of the biotechnological potential of these actinomycetes.
Impact of Incentive Mechanism in Online Referral Programs: Evidence from Randomized Field Experiments

ABSTRACT Despite the growing popularity of online referral programs, a minimal amount is known regarding the theoretical foundations that drive the key actions associated with successful referrals. In this paper, we study which type of referral reward structure is most effective in maximizing word-of-mouth by conducting two randomized experiments in mobile gaming context. Specifically, we examine the effect of three incentive schemes: selfish reward (inviter gets all the reward), equal-split reward (50-50 split), and generous reward (invitee gets all the reward). Consistent across the two experiments, we find that pro-social referral incentive schemes, namely the equal-split and generous schemes, tend to dominate purely selfish schemes in creating WOM. Our mechanism-level analysis shows that both equal-split and generous schemes result in higher number of conversions by significantly increasing the invitee’s likelihood to accept referrals, which we further show that is partially due to selective and better targeted referrals. Our results contribute to the understanding of the optimal design of online referral programs and provide important implications for designing effective referral reward schemes in the digital world.
Adsorção de fosfato e sulfato em solos com cargas elétricas variáveis

Interactions between P and S anions and soil colloids are significant, mainly those rich in iron and aluminum oxides, whose electric surface charges vary according to the pH and ionic strength of the solution. The objective of this study was the evaluation of phosphate and sulfate adsorption on surface and subsoil samples of a clayey Anionic Acrudox, a medium-textured Anionic Acrudox and a clayey Rhodic Kandiudalf from the northern region of the State of Sao Paulo, Brazil. Maximum phosphate and sulfate adsorption was determined by the isotherm of Langmuir, and the four layer model used for adsorption simulation. Phosphate and sulfate adsorption were superior on the subsoil, where organic matter contents were lower. On LAw samples, which presented lowest iron and aluminum oxide concentrations, maximum adsorption was smaller. Phosphate adsorption decreased when pH values were elevated up to 5 or 6, but pH above 6 provided higher adsorption rates. Sulfate adsorption decreased with pH elevation. Values obtained for the electric surface potential by the four layer model were not realistic, although the model was efficient for the simulation of anion adsorption and provides a comprehensive understanding of pH, and phosphate and sulfate concentration effects on surface potential variations.
ISOLATION, CHARACTERIZATION OF ASPERGILLUS FUMIGATUS AND OPTIMIZATION OF CULTURAL CONDITIONS FOR AMYLASE PRODUCTION

The soil samples were collected from different depths of paddy and sugarcane fields. The samples were primarily screened for isolation of amylase producing fungi. Among the isolated fungi, amylase producing isolates were identified by growing on starch agar media. The isolate (15F) which form the maximum zone of clearance on starch agar media by iodine was identified and it was subcultured on potato dextrose agar (PDA). The isolate (15F) was morphologically characterized by performing cotton blue staining and scanning electron microscopic observations under required magnifications. Molecular characterization of isolate (15F) was performed by ITS/5.8S rRNA and β-tubulin gene sequence analysis and it was confirmed as Aspergillus fumigatus (MTCC Acc No 11399). Optimization of cultural conditions for maximum production of amylase was carried out by different cereal flours, incubation periods, temperatures, nitrogen sources and with different phosphate concentrations. Aspergillus fumigatus showed maximum amylase activity (230±0.7U/mg protein) when cultured in finger millet at 35 0 C for 72hrs of incubation period.
Liquid‐Phase‐Assisted Sintering of Calcium‐Doped Lanthanum Chromites

Investigations have been made on the low-temperature sinterability of calcium-doped lanthanum chromites which are to be used as interconnectors in solid oxide fuel cells (SOFCs). Nominally chromium deficient lanthanum calcium chromites (La[sub 0.7]Ca[sub 0.3]Cr[sub 1[minus]y]O[sub 3], y = 0.02) were found to be sinterable to 94% theoretical density at 1573 K in air, whereas no densification was observed for samples with y = 0. The two-step shrinkage process suggests a liquid-phase sintering mechanism with calcium oxychromates playing an important role as the liquid phase. After sintering at 1573 K, calcium-rich substances remained at grain boundaries.
Electrodeposited Cu2ZnSnSe4 thin film solar cell with 7% power conversion efficiency

High performance Cu2ZnSnSe4 (CZTSe) photovoltaic materials were synthesized by electrodeposition of metal stack precursors followed by selenization. A champion solar cell with 7.0% efficiency is demonstrated. This is the highest efficiency among all of the CZTSe solar cells prepared from electrodeposited metallic precursors reported to‐date. Device parameters are discussed from the perspective of material microstructure and composition in order to improve performance. In addition, a high performance electrodeposited CZTS (S only) solar cell was demonstrated and its device characteristics were compared against the CZTSe (Se only) cell. Using secondary ion mass spectrometry for the analysis of the chemical composition of the absorber layer, a higher concentration of oxygen in the electrodeposited absorber is thought to be the root cause of the lower performance of the electrodeposited CZTS or CZTSe solar cells with respect to a solar cell fabricated by evaporation. The grain boundary areas of Sn‐rich composition are thought to be responsible for the lower shunt resistance commonly observed in CZTSe devices. We measured the longest minority carrier lifetime of 18 ns among all reported kesterite devices. This work builds a good baseline for obtaining higher efficiency earth‐abundant solar cells, while it highlights electrodepositon as a low cost and feasible method for earth‐abundant thin film solar cell fabrication. Copyright © 2013 John Wiley & Sons, Ltd.
Crustacean disparity through the Phanerozoic: comparing morphological and stratigraphic data

Abstract Crustaceans have been an important component of marine diversity and biomass since the earliest Phanerozoic. With a relatively well-documented fossil record, they provide an excellent subject for a continuous study of disparity (approxiamtely bodyplan variety) from the Cambrian to the Recent. A data base of 135 morphological characters forms the basis for cladistic and morphospace studies at the ordinal and sub-ordinal level. Gross cladistic topology is: (Eumalacostraca+Hoplocarida vs Maxillopoda) vs Phyllopoda (paraphyletic). Each of these groups is of approximately equal disparity, and occupies a distinct region of the morphospace plot. A few problematical fossils (e.g. Waptia and Odaraia ) fall close to the base of the tree. Comparison of the cladogram with stratigraphic range data indicates the location of probable ghost lineages, and randomization procedures provide a statistical test of the goodness of fit of a given set of stratigraphic ranges to a given tree topology. Disparity indices are calculated at series and stage intervals. Observed range data indicate that Cambrian disparity was approximately one third its present level. The Earliest Ordovician saw a marked decrease, with an increase and subsequent plateau through rest of the period. Increases through the Silurian and Devonian corresponded to the radiation of branchiopods, cephalocarids, and latterly the Eumalacostraca and Hoplocarida. By the end of the Carboniferous, observed disparity had reached over four fifths of Recent levels, and the remaining history of the group saw a gradual but slightly irregular increase up until the end of the Tertiary. Indices of disparity incorporating ghost lineages exhibit less marked peaks and troughs, with fewer perturbations overall. Cladistically-implied disparity in the Lower Cambrian is estimated at three quarters of that in the Recent. Rarefaction is used to compare actual levels of disparity at each time interval with the mean for a similar number of taxa selected randomly from the list of all realized bodyplans. Most intervals preserved a range of forms more disparate than the mean of random samples drawn from the pool of all the taxa considered. From the Triassic to the Recent this difference was intermittently significant. Once occupied, extremes of morphospace tend not to fall vacant again.
Electron Microscopy Investigation of Detailed Microstructures of CVD TiAlN and TiN Coatings-Effects of Gas Flow and Substrate on Coating Microstructure

This thesis contains studies of topics of relevance to increase the understanding of TiN and TiAlN coatings synthesized by chemical vapour deposition (CVD) and low pressure CVD (LPCVD), respectively. This work contains two parts: (i) nanolamella LPCVD TiAlN coatings that were found to show a spatial variation of their chemical composition and microstructure, which was influenced by the gas flow speed of reactants; (ii) microstructure of CVD TiN coating deposited onto a CoCrFeNi multi-principal element alloy (MPEA)substrate. Depositing homogeneous TiAlN coatings on cutting tool inserts to achieve extraordinary mechanical performance and good chemical stability remains a challenging task. In this work, the detailed microstructure of high-Al cubic Ti1-xAlxN coatings (average x = 0.8) made by LPCVD was studied by state-of-the-art electron microscopy. A periodic structure with Ti-rich and Al-rich nanolamellae was found. Ti enrichment appears at high gas flow rate, which is suggested to be due to the increase of mass transport of certain reactants. However, the higher mass transport does not influence the Al-deposition much, as it is mainly limited by surface kinetics. A co-growth of h-AlN and TiAlN was investigated by electron microscopy, which showed that the h-AlN prefers to form on the Ti-rich cubic phase following a specific crystallographic orientation relationship: [110]cub // [21"1"0]hex, and (001)cub // (0001)hex. This can be explained by a low interface energy between the h-AlN and Ti-rich cubic phase according to density functional theory (DFT) modelling. The microstructural inhomogeneity of TiAlN coatings can therefore be explained by the co-growth of the h-AlN phase with the Ti-rich cubic phase, which is caused by a fast gas flow. An electron microscopy study was done on the microstructure of TiN coatings grown on a CoCrFeNi MPEA substrate. The MPEA shows a good capability of serving as a CVD substrate. No severe etching of the substrate was found, and the growth of TiN was not disturbed by the substrate material. However, grain boundary diffusion of Cr into the TiN coating was revealed by analytical electron microscopy.
AN OVERVIEW OF CUSTOMER CHURN PREDICTION IN TELECOM INDUSTRY A

: In Telecom Industry customer churn is a big issue and one that impacts their revenue. When customers start to leave a service or subscription, it increases the expenditure for these companies. Businesses have found that acquiring new customers costs them nearly six times more money than retaining existing ones. Therefore, preventing customer churn becomes important when companies are trying to grow their business. The analysis of Customer Behaviour using Machine Learning techniques does provide an effective solution to the problem by predicting which customers are more likely to leave the service or subscription. Predictive analysis of customer behaviour not only helps companies fix issues with their service but also helps them add new features and products so as to keep the customer engaged. The present work provides an overview of the latest works in the field of Customer Churn prediction. Our aim is to provide a simple path to make the future development of novel Churn prediction approaches easier.
[Frontiers in Bioscience 11, 89-112, January 1, 2006] 89 HIV-1 inactivation by nucleic acid aptamers

1. Abstract 2. Nucleic acid aptamers 3. Inhibition of HIV-1 enzymatic function 3.1. Reverse Transcriptase. 3.1. 1. Anti-RT drugs, side effects and resistance 3.1. 2. RNA aptamers in vitro 3.1. 3. Anti-RT ssDNA aptamers in vitro 3.1. 4. Anti-RT RNA aptamers in cells 3.2. Protease 3.2. 1. Protease aptamers 3.3. Integrase 3.3.1. Integrase aptamers in vitro 4. Inhibition of HIV-1 gene expression: transcriptional regulation and RNA transport 4.1 Rev 4.1. 1. Rev aptamers in vitro 4.1. 2. Non-aptamer Rev decoys in vivo 4.1. 3. Rev aptamers in vivo 4.2. Tat 4.2. 1. Tat aptamers in vitro 4.2. 2. Tat aptamers and TAR decoys in vivo 4.3. TAR, RRE and other structured viral RNAs 5. Inhibition of viral packaging 5.1. Nucleocapsid and p55 polyprotein 5.1. 1. NC and p55 aptamers in vitro 5.1. 2. NC aptamers and decoys in vivo 6. Inhibition of viral entry 6.1. Glycoproteins gp120 and gp41 6.1. 1. gp120 aptamers in vitro and in antiviral assay 7. Further considerations 8. References
Clathrin-Associated Adaptor Complex AP2

Stefan Höning,1,6,* Doris Ricotta,2 Michael Krauss,3 Kira Späte,1,6 Barbara Spolaore,5 Alison Motley,4 Margaret Robinson,4 Carol Robinson,5 Volker Haucke,3 and David J. Owen4,* 1Institute for Biochemistry II University of Göttingen Heinrich-Düker-Weg 12 37073 Göttingen Germany 2Department of Biomedical Science and Biotechnology University of Brescia Via Valsabbina 19 25124 Brescia Italy 3 Institute of Chemistry-Biochemistry Freie Universität Berlin Takustrasse 6 14195 Berlin Germany 4Department of Clinical Biochemistry Cambridge Institute for Medical Research University of Cambridge Hills Road Cambridge, CB2 2XY United Kingdom 5Department of Chemistry University of Cambridge Lensfield Road Cambridge, CB2 1EW United Kingdom
Inkjet-printed graphene-PEDOT:PSS modified screen printed carbon electrode for biochemical sensing

In this work, a novel method for electrode modification based on inkjet-printing of electrochemically synthesized graphene-PEDOT:PSS (GP-PEDOT:PSS) nanocomposite is reported for the first time. GP-PEDOT:PSS dispersed solution is prepared for use as an ink by one-step electrolytic exfoliation from a graphite electrode. GP-PEDOT:PSS layers are then printed on screen printed carbon electrodes (SPCEs) by a commercial inkjet material printer (Dimatrix Inc.) and their electrochemical behaviors towards three common electroactive analytes, including hydrogen peroxide (H2O2), nicotinamide adenine dinucleotide (NAD+/NADH) and ferri/ferro cyanide (Fe(CN)63−/4−) redox couples, are characterized. It is found that the oxidation signals for H2O2, NADH and K2Fe(CN)6 of PEDOT:PSS modified and GP-PEDOT:PSS modified SPCEs are ∼2–4 and ∼3–13 times higher than those of unmodified SPCE, respectively. In addition, excellent analytical features with relatively wide dynamic ranges, high sensitivities and low detection limits have been achieved. Therefore, the inkjet-printed GP-PEDOT:PSS electrode is a promising candidate for advanced electrochemical sensing applications.
Patient-reported outcomes: association between physical activity and quality of life in patients with chronic kidney disease

Background. Lifestyle factors contribute to the risk of progression of chronic kidney disease (CKD). CKD patients are getting older, have decreased physical activity (Pa) and increased psychosocial problems. Muscle weakness and fatigue causes poor functional ability, especially with impaired renal function. Objectives. the aim of the study was to find associations between Pa and self-reported patients’ outcomes in CKD patients. Material and methods. Consecutive adult patients with CKD (total n = 130; estimated glomerular filtration rate (egFR) ≥ 45 mL/ /min/1.73 m2 n = 54; egFR < 45 mL/min/1.73 m2 n = 76) or other chronic conditions (n = 247) referred to Internal Medicine Clinic were recruited. a population-based control group was randomly selected (n = 327). the International Physical activity Questionnaire (IPaQ) short form was opted to assess Pa. the 36-Item short Form Health survey (sF-36) was used to assess patients’ health-related quality of life (HRQoL). Results. all HRQoL dimension scores in patients with noticeably reduced kidney function (egFR < 45 ml/min/1.73 m2) were statistically significantly lower in comparison with other groups, except the mental health (Re) score. In the CKD low group, the Pa level significantly influenced both overall physical component score (PCs) and subscales and was strongly related with walking habits (PCs, p = 0.0002). Walking positively influenced the mental component score (MCs, p = 0.007) in the CKD low group. Conclusions. We found that subjects with severely impaired kidney function and good walking habits have higher quality of life scores. Using these instruments for measurement, we can evaluate patient-reported outcomes, and regular control helps us to improve quality of life among patients with CKD.
Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation

In today’s world, reducing energy consumption should be the goal for any organization and any system, including robotics software systems. However, state of the practice in robotics software development focuses primarily on achieving functionality and performance, with minimal recognition of energy-efficiency as a driving software quality. The goal of this paper is to identify, synthesize, and empirically evaluate architectural tactics for energy-efficiency applied by practitioners in real robotics projects. Four tactics were identified by mining software repository techniques applied to the ROS ecosystem. The tactics were evaluated via experimentation on a real, commodity robotics system. Results show that the application of green architectural tactics tends to largely improve the energy-efficiency of the robot (7.9% energy savings when all tactics are applied) and that the movement strategy and the physical environment where the robot operates strongly influence how energy is consumed by the robot.
Political Skills for Sport Professionals: Theory, Research, and Career Success Implications

Motivated by an increasing interpersonal aspect to the profession of sport coaching, the importance of being socially effective as a coach has multiplied in significance. This review specifically considers the social effectiveness construct, political skill, as a crucial aspect to career success through the perspective of a sport coaching lens. Political skill refers to the ability to effectually understand others at work, and to then use that information to influence others to behave in ways that enhance one’s personal and/or organizational objective. Political skill is a means through which sport coaches may be able to build and maintain important and influential relationships with key stakeholders (e.g., athletic directors), thus improving the possibility of a successful coaching career. This article presents a review of theoretical foundations for the association between political skill and career success as well as practical applications (e.g., active listening, empowerment, volunteerism) for sport coaches when managing important stakeholder relationships. Research suggestions for the continued advancement of political skill research are also provided.
Landslides in Dense Tropical Forest from Airborne Laser Scanning data

13 Landslides are natural disasters that cause environmental and infrastructure damage 14 worldwide. They are difficult to be recognized, particularly in densely vegetated regions of the 15 tropical forest areas. Consequently, an accurate inventory map is required to analyze landslides 16 susceptibility, hazard, and risk. Several studies were done to differentiate between different 17 types of landslide (i.e. shallow and deep-seated); however, none of them utilized any feature 18 selection techniques. Thus, in this study, three feature selection techniques were used (i.e. 19 correlation-based feature selection (CFS), random forest (RF), and ant colony optimization 20 (ACO)). A fuzzy-based segmentation parameter (FbSP optimizer) was used to optimize the 21 segmentation parameters. Random forest (RF) was used to evaluate the performance of each 22 feature selection algorithms. The overall accuracies of the RF classifier revealed that CFS 23 algorithm exhibited higher ranks in differentiation landslide types. Moreover, the results of the 24 transferability showed that this method is easy, accurate, and highly suitable for differentiating 25 between types of landslides (shallow and deep-seated). In summary, the study recommends 26 that the outlined approaches are significant to improve in distinguishing between shallow and 27 deep-seated landslide in the tropical areas, such as; Malaysia. 28 29 Keyword: Landslide types; Object-Based Approach; LiDAR; Remote sensing; GIS 30 31 32