Miracle-dz/UniFAR-FTUs huggingface dataset:
Active Learning on Graphs with Geodesically Convex Classes

We study the problem of actively learning the vertex labels of a graph, assuming the classes form geodesically convex subgraphs, which is related to linear separability in the Euclidean setting. The main result of this paper is a novel query-efficient active learning algorithm with label-independent upper bounds on the number of queries needed to learn all labels. For that, we use shortest path covers and provide a logarithmic approximation for the subproblem of computing a shortest path cover of minimum size. We extend the approach to arbitrarily labeled graphs using a convexity-based selection criterion. Finally, we discuss whether the convexity assumption holds on real-world data and give some first preliminary results on citation and image benchmark datasets
Marshalljohnstonia, a New Genus (Asteraceae) with a Rosette-Shrub Growth Habit from Mexico

The new genus and species Marshalljohnstonia gypsophila (Asteraceae, Lactuceae, Ste phanomeriinae), from western Coahuila, Mexico, is a drought-deciduous gypsophile with isolateral erect leaves, thick coarse periderm, and xylem that combines traits considered characteristic of both xeromorphic and rosette-shrub habitats. From gross morphology it would appear to be related to Pinaropappus, but in cytological and palynological features it is similar to Lygodesmia and Stephanomeria. Its rosette-shrub growth form is interpreted as a derived feature similar to derivation of secondary woodiness in maritime habitats but in this instance in a xeric environment. During recent field work in the Chihuahuan Desert by Marshall C. Johnston, Thomas L. Wendt, and Fernando Chiang in connection with the Chihuahuan Desert Flora, Wendt found a new and distinctive shrubby member of the Lactuceae from gypsum deposits on the slopes of the Sierra de las Delicias in western Coahuila, Mexico. The plant has an assemblage of floral and vegetative characteristics that warrants its recognition as a new genus in subtribe Stephanomeriinae. Marshalljohnstonia Henrickson, gen. nov. A Pinaropappo fruticibus crassiramosis, phyllariis magis foliaceoris, receptaculis epaleaceis alveolatis, polline echinato lacunis abporalibus, acheniis erostratis, chromosomatum numero x = 9 differt; a Lygodesmia et Stephanomeria phyllariorum structura et ramificationum ordinatione differt. Coarsely branched, lactiferous shrubs, stems glabrous, erect to spreading; internodes short or elongate; periderm coarse, gray, deeply fissured. Leaves simple, alternate, fleshy, isolateral, mostly erect, tardily deciduous, rhombic to narrow elliptic, toothed or entire, scarious at the margin; petioles short to elongate, winged, the wings decurrent, axils tomentose. Heads solitary, erect, terminal, the peduncles leafy, involucral bracts unequal, imbricate, foliaceous, flat, -ovate-elliptical, acuminate-aristate, green; receptacle flattened, naked, strongly alveolate; flowers perfect, 10-18, corolla ligulate, five-toothed and -nerved, purple-pink, purple-striped over the nerves, sparsely pubescent abaxially; style branches elongate, subterete, stigmatic along the inner surface but without stigmatic lines; achenes cylindric, truncate at the apex, slightly fusiform and arcuate, with five equally spaced I I thank D. P. Dille, G. A. Fay, E. C. Jonas, M. C. Johnston, and J. Olson for the help in manuscript preparation and various phases of the research and A. S. Tornb for valuable discussions on relationships in the Stephanomeriinae. 2 Biology, California State University, Los Angeles CA 90032. This content downloaded from 207.46. 13.21 on Tue, 27 Sep 2016 04:13:43 UTC All use subject to http://about.jstor. org/terms 170 SYSTEMATIC BOTANY [Volume 1
IDENTIFYING FACTORS OF USER SATISFACTION WITH SUMMATIVE E-ASSESSMENT: A QUALITATIVE APPROACH

In Nigeria, candidates for electronic examinations have expressed negative opinions about the system resulting from fear or unfamiliarity with the assessment technology, and a lack of knowledge about the methods of e-assessments. This paper aims to investigate the factors determining user satisfaction with a summative e-assessment system in Nigeria from the examinees' point of view, and to address the challenges and problems faced during the e-assessment. Therefore, the research adopts a qualitative approach (by interview) to provide a further understanding of the main factors which affect user satisfaction with e-assessment. Secondly, to map those identified issues with a corresponding objective and subjective aspects of satisfaction. As a result, this could set the stage right for future studies on resolving issues and enhancing the e-assessment satisfaction. This study showed that the satisfaction of examinees with e-assessment would be influence by service quality, system quality, and user's computer experience. In contrast, information quality was found to be an insignificant determinant of user satisfaction with summative e-assessment. Past studies mostly address the relationship between these factors and user satisfaction quantitatively. This study reveals that Information System Success Model is the most suited underlying theory that could fit the case of e-assessment satisfaction.
Knowledge Graph Inference using Tensor Embedding

This extended abstract describes work reported in the Journal of Web Semantics (Padia et al. 2019). Axiom based inference provides a clear and consistent way of reasoning to add more information to a knowledge graph. However, constructing a set of axioms is expensive and requires domain expertise, time, and money. It is also difficult to reuse or adapt a set of axioms to a knowledge graph in a new domain or even in the same domain but using a slightly different representation approach. Representation learning (Bengio, Courville, and Vincent 2013) introduces a way to augment or even replace manually constructed ontology axioms and rules by using knowledge graph instances to discover common patterns and then apply them to suggest changes to the graph. The changes are often in the form of adding missing types and relations, but can also include schema modifications, removing incoherent instances, merging sets of instances describing the same real-world entity, or adding relation probabilities. One popular approach for representation learning is based on learning how to embed a graph’s entities and relations into a real-valued vector space, allowing both to be represented by dense, real-valued vectors. The entity and relation embeddings can be learned either independently or jointly, and then used to predict additional relations that are missing. Jointly learning the embeddings allows each to enhance the other (Nickel, Tresp, and Kriegel 2011). There are several models that learn embedding of entities and relations to perform inference. Some use existing schemas (Krompass, Baier, and Tresp 2015) to regularize the quality of the embedding. These often give better performance compared to those that do not use schemas, as in Nickel (2011). However, schema-based embedding methods suffer from the above-mentioned limitations. We have developed a family of novel methods that improves the quality of the embeddings without using pre-defined schemas (Padia et al. 2019; Padia 2019a). We divide statistical models that infer additional knowledge graph facts into two categories: link ranking systems that provide a ranked list of the top-K candidates and link
Quantization and Dirac Cohomology Under Construction

2 Lie algebras and quantization 4 2.1 The Heisenberg Lie algebra and canonical quantization . 4 2.2 Quantization and the universal enveloping algebra . 5 2.3 Representations and the orbit philosophy . 7 2.3. 1 Canonical quantization . 8 2.3. 2 Representations of compact Lie groups . 8 2.3. 3 SL(2,R) and discrete series representations . 9 2.3. 4 SU(2, 2) and minimal representations . 9
Reviewing goodwill accounting research: What do we really know about IFRS 3 and IAS 36 implementation effects?

We review more than 30 studies from 2008-2016 from three groups: first, studies testing the value relevance of goodwill, other intangible assets and impairment; second, studies investigating explanatory factors for recognition of these assets and expenses; and third, studies of compliance with IFRS 3 and IAS 36 disclosure requirements. We examine the research designs used to identify strengths and weaknesses in the studies and we investigate the impact of data and model selection on the evidence presented. We are interested in the extent to which studies report results that are consistent over time and between IFRS adopting countries. Our review aims to reveal where we can draw confident conclusions about the effects of applying IFRS 3 and IAS 36 and where evidence is not clear and further work remains to be done. Thus, our paper aims to assist academics and practitioners to gain a better understanding of the research evidence and to identify opportunities for future research.
Feline calicivirus. Molecular Detection with Primers Design

One of the infectious agents causing the Feline Viral Respiratory Complex is Feline calicivirus (FCV), participating in one of the main diseases that affect domestic felines, causing high morbidity rates and low mortality, mainly in kittens. FCVV specifically affects the Felidae family and mainly the domestic cat, however, infection has also been described in wild cats. This virus is small in size (27 40 nm), uncovered, with an icosahedral capsid and a single-stranded RNA genome, positive polarity and approximately 7700 base pairs. This genome has three Open Reading Frames (ORFs) and ORF 2 contains the gene that codes for the VP1 capsid protein, a detection target in this study. The diagnosis is made mainly based on the clinical signs of the affected cats, however, its interpretation is usually doubtful, as there is a low correlation between the symptoms and the presence of the virus. Although the presence of FCV in Chile has already been described, its detection based on the primers design in line with the information available in the Genbank® is still a viable alternative when considering the geographical distribution of the different strains of FVC already described. Thus, the alignment of 10 VP1 sequences according to their geographical distribution yielded a single common nucleotide zone that was used as a candidate sequence for the primers by the OligoPerfect Design software from ThermoFisher Scientific®. The RTPCR protocol used was effective, since on the one and clear DNA band were obtained without nonspecific amplification in positive controls and no amplification in negative and reagent controls. The utility of the primers was reflected by the BLAST software. Therefore, it is suggested to subsequently use the protocol in real samples, as a complementary diagnostic alternative in national Veterinary Medicine.
Generation of Gravity Waves by Singular Potential Vorticity Disturbances in Shear Flows

The linear mechanism of generation of gravity waves by potential vorticity (PV) disturbances in flows with constant horizontal and vertical shears is studied. The case of the initial singular distribution of PV, in which the PV is localized in one coordinate and is periodic with respect to other coordinates, is considered. In a stratified rotating medium, such a distribution induces a vortex wave (continuous mode), the propagation of which is accompanied by the emission of gravity waves. To find the emission characteristics, a linearized system of dynamical equations is reduced to wave equations with sources that are proportional to the initial distributions of PV. The asymptotic solutions of the equations are constructed for small Rossby numbers (horizontal shear) and large Richardson numbers (vertical shear). When passing through the inertial levels symmetrically located with respect to a vortex source, the behavior of the solutions for wave amplitudes radically changes. Directly in the vicinity of the source, the solutions are of monotonic character, corresponding to a quasigeostrophic vortex wave. At long distances from the source, the solutions oscillate. The horizontal momentum flux and the Eliassen–Palm flux are estimated using asymptotic solutions. It is found that, within the indicated range of bothRossby andRichardson numbers, these fluxes are exponentially small: that is, the emission of waves is weak.
Trade, Formalization Cost, and the Spatial Distribution of Formal and Informal Employment: Evidence from Indonesia

Informal-sector employment is pervasive in developing economy cities. The informal sector contributes little to public finance and has low productivity due to the lack of access to trade support and export market, which is available in the formal sector. We study cross-region variations in employment formalization within a country in a general equilibrium model where entrepreneurs in each region choose between the formal and informal sectors by weighing the benefit of access to export market and the cost of a local business tax. The model is built on Behrens, Duranton and Robert-Nicoud (2014) to account for (1) skill sorting across regions; (2) occupation selection in terms of employee, informal-sector entrepreneur, and formal-sector entrepreneur; and (3) agglomeration economy arising from home-market effect. We solve for equilibrium employment size and number of entrepreneurs and their skill mix in both formal and informal sectors in individual regions, subject to perfect labor mobility and national aggregate employment and skill endowment constraints. The model can account for the cross-region variations in these equilibrium employment variables observed in Indonesia during the past two decades. The counterfactual analysis shows how employment and skills shift between the employment sectors and regions in response to export improvement and business tax changes.
Verbs in Kashmiri: A Semantico-Syntactic Classification

Kashmiri, a North-western language (Dardic) of Indo-Aryan family, contains lexicon of tatsam , tadbhav and deshaj (indigenous) words. The investigation of the root forms reveal that most of the verbs are intransitive at base. Hence, most of the verb roots end up being listed as intransitives, if one were to make reference to solely morphology in decisions concerning what constitutes the base form of a Kashmiri verb. The present paper argues that morphology can’t be the reliable basis to decide on the verb classification. Hence, it is imperative to investigate the semantico-syntactic behaviour of verbs and classify them accordingly. This paper provides an account of semantico-syntactic classification of Kashmiri verbs using the framework of Levin & Rappaport (1995) and focuses to capture the relationship between syntax and semantics of Kashmiri verbs.
Supply Chain Flexibility : Building a New Model 1

Building on the flexibility classification schemes and flexibility typologies literature, and recent literature on supply chain management, a new model of flexibility is proposed: supply chain flexibility (SCF). The model specifies several important characteristics that are required within and between each node of the supply chain to improve supply chain flexibility. Implications for supply chain researchers and practitioners are discussed.
CASE STUDY: The Effects of Dietary Zinc Concentration and Source on Yearling Bull Growth and Fertility

Yearling Angus bulls (n = 325) were allotted by BW into six pens of equal size. One of three dietary treatments consisting of 1) dietary Zn at 40 ppm, all supplied by zinc sulfate (ZnS); 2) dietary Zn at 40 ppm with 33.3% supplied by zinc proteinate and 66.6% supplied by ZnS (ZnPS); or 3) dietary Zn at 60 ppm, all supplied by ZnS (ZnHi) was delivered to two pen replicates. Initial and final liver biopsies were collected and analyzed for Zn concentration. Scrotal circumference and BW measures were collected at the start and conclusion of the trial. Semen from bulls intended for public sale (n = 167) was collected and evaluated for motility and morphological abnormalities. Bulls with percent normal sperm cell counts <70% or with motility scores less than fair (motility scores = poor, fair, good, and very good) were considered classification deferred (CD). Following 126 d of treatment, bulls on the ZnHi treatment had a greater (P=0.06) increase in liver Zn concentration than bulls on the ZnS treatment, but not bulls on the ZnPS treatment (P=0.18) (–9.8, 1.2, and 20.6 between Zn and the functionality of spermatozoa (2, 3, 22). Zinc is an essential component of many enzymes; especially important to male fertility are the Zn-dependent DNAand RNA-polymerases (9). Therefore, it is not surprising that deficiencies in dietary Zn often manifest themselves by retarding the rate and functionality of physiological systems, which are controlled by Zn-dependent enzyme systems. The use of organic minerals in livestock nutrition has gained considerable interest over the past decade. The term “organic mineral” is commonly used to describe generically any of several forms of trace minerals available in the feed industry; some of these include chelates, proteinates, and complexes. Some studies have suggested that organic Zn in ruminant diets may be metabolized differently upon absorption compared with inorganic Zn (20). Considering the potential link between improved bull reproductive development and Zn, the following study investigates the effect of Zn concentration and source in growing bull diets on subsequent measures of fertility. Measures of growth, sexual maturation, and fertility were compared when bulls were supplemented with either inorganic Zn (zinc sulfate) at 40 and 60 ppm of the total ppm for ZnS, ZnPS, and Zn Hi, respectively). No differences in scrotal circumference or ADG were detected. Bulls receiving ZnPS had higher (P<0.05) percent normal sperm cells than did bulls receiving ZnS, but not bulls receiving ZnHi (55.5, 68.9, and 62.5% for ZnS, ZnPS, and ZnHi, respectively). The frequency of CD was less (P<0.05) for bulls on ZnPS and ZnHi treatments than for bulls on the ZnS treatment. In all fertility measures observed in this trial, bulls receiving the ZnPS rated greatest, followed by bulls on ZnHi, and lastly by
MAX PLANCK INSTITUTE OF QUANTUM OPTICS

Materials with a defined crystal structure are a familiar phenomenon in condensed matter physics. A crystal exhibits a regular structure, due to a periodic repetition of its building blocks. The resulting geometry depends on external parameters such as pressure and temperature, and even more strongly on the type of interaction between the building blocks, for example the Coulomb force or the van der Waals force. For the first time a team of scientists around Prof. Immanuel Bloch (Director at MPQ und Chair of Experimental Physics at the LMU), in cooperation with theorists from Dresden, have succeeded in generating incompressible magnetic quantum crystals containing several hundred rubidium atoms. Depending on the shape of the crystal and the strength of the magnetization different geometries are formed. In these experiments the scientists exploit the extremely enhanced interactions between highly excited gigantic Rydberg atoms that have a diameter a thousand times larger than ground state atoms (Science, 27 March 2015).
Graph-based State Representation for Deep Reinforcement Learning

Deep RL approaches build much of their success on the ability of the deep neural network to generate useful internal representations. Nevertheless, they suffer from a high sample-complexity and starting with a good input representation can have a significant impact on the performance. In this paper, we exploit the fact that the underlying Markov decision process (MDP) represents a graph, which enables us to incorporate the topological information for effective state representation learning. Motivated by the recent success of node representations for several graph analytical tasks we specifically investigate the capability of node representation learning methods to effectively encode the topology of the underlying MDP in Deep RL. To this end we perform a comparative analysis of several models chosen from 4 different classes of representation learning algorithms for policy learning in grid-world navigation tasks, which are representative of a large class of RL problems. We find that all embedding methods outperform the commonly used matrix representation of grid-world environments in all of the studied cases. Moreoever, graph convolution based methods are outperformed by simpler random walk based methods and graph linear autoencoders.
A review of present knowledge of the family Peloridiidae and new genera and new species from New Zealand and New Caledonia (Hemiptera: Insecta)

In the South American fauna, a new generic name, Kusche/oides, is proposed to replace Kuschelia China (preoccupied). Four new species are added to the new Zealand list. Two of these are assigned to a new genus, Xenophysefla, type species Xenophyes stewartensis Woodward (X. dugdalei sp. n., X. pegasusensis sp. n.). Another belongs to Xenophyes Bergroth (X. kinlochensis sp. n.), while the fourth species, Oiophysa pendergrasti Woodward, previously had sub-specific rank. The first peloridiid to be recorded from New Caledonia is also described (Oiophysel/a gen. nov., type species 0, degenerata sp. n.).
Study on inhibitory effect by total alkaloids in Capparis spinosa on SGC-7901 in vitro

Objective To investigate the apoptosis effect of Total alkaloids on human gastric cancer cells SGC-7901 from Capparis spinosa(C.S)and possible mechanism of it.Methods SGC-7901 cells were treated with different concentrations of the Total alkaloids in CS.MTT assay and SRB assay were used to observe the inhibitory rate of the Total alkaloids,and fluorescence microscope,flow cytometry and used to observe the influence of the Total alkaloids on cell apoptosis and cell cycle changes of SGC-7901.Results The results showed total alkaloids can inhibit the growth of human gastric adenoma cells SGC-7901.Measurements using mononuclear cell direct cytotoxicity assay(the MTT method)shows that its cytotoxic effect on SGC-7901 is strong,with IC50 being 142.895 μg·mL-1,respectively.Results from SRB assay show that the anticancer effect of Total alkaloids is cytostatic at low concentration,with LC50 for this cells being 41.271 μg·mL-1,respectively,but it becomes mainly cytotoxic at high concentration,with GI50 for SGC-7901 being 244·932 μg·mL-1,respectively.Total alkaloids can induce apoptosis in tumor cells.Forty-eight hours after they are treated with total alkaloids of different concentrations,SGC-7901 cells are stained with Hoechst33258 fluorochromes.Observation using a fluorescence microscope reveals that total alkaloids can cause the chromatin in tumor cell nuclei to condense and fragment.The nuclei condense into a uniform,dense mass and then break up.Sprouts keep on forming on the cell membrane and then dropping off,so that the cell breaks up into several apoptotic bodies of different sizes.As total alkaloids concentration is increased,these morphological changes under the microscope become more and more clear,indicating that the proportion of cells undergoing apoptosis is gradually increasing.After treating with 75,150 and 300 μg·mL-1 of the total alkaloids in C.S for 72 h,the apoptotic rates of SGC-7901 cells were 8.7%,14.309%,0.819%. Conclusions Inducing apoptosis is one of the anti-cancer mechanism of total alkaloids of C.S.
The presence of heart disease worsens prognosis in patients with COVID-19

1 with JTc > 420 ms due to complete right bundle branch block), which was corrected when part of the medication was suspended as recommended by the cardiologist. Since the implementation of the monitoring protocol, no patient has died due to suspected ventricular arrhythmia associated with prolonged QT interval. Acceptance by the nursing staff has been very satisfactory, because it represents a simple alternative to the complexity of performing 12-lead ECG in these patients.