Miracle-dz/UniFAR-FTUs huggingface dataset:
Visualization of Intersecting Groups Based on Hypergraphs

SUMMARY Hypergraphs drawn in the subset standard areuseful to represent group relationships using topographic char-acteristics such as intersection, exclusion and enclosing. How-ever, they present cluttering when dealing with a moderately highnumber of nodes (more than 20) and large hyperedges (connect-ing more than 10 nodes, with three or more overlapping nodes). At this complexity level, a study of the visual encoding of hy-pergraphs is required in order to reduce cluttering and increasethe understanding of moderately larger sets. Here we present agraph model and a visual design that help in the visualization ofgroup relationships represented by hypergraphs. This is done bythe use of superimposed visualization layers with diﬀerent levelsof abstraction and the help of interaction and navigation throughthe display.key words: information visualization, graph drawing, intersect-ing groups, hypergraphs 1. IntroductionGroups are intrinsic to a large number of data sets. Forexample, data about movies, scientiﬁc papers or terror-ism share two levels of data: the individuals (actors, re-searchers, terrorists) and their collaborations (movies,papers, organizations). Usually, these collaborationsoverlap, having individuals in more than one group.In addition, groups can be inferred from almostany data set. This is the case of data clustering, whichusually searches for non-overlapping groups using dis-tance metrics. This is also the case of complex queriesin databases, for example the search for several possiblyoverlapped groups of data, each one fulﬁlling a diﬀer-ent query. Furthermore, some grouping algorithms con-sider overlappingas essential in the searching of groups,such as biclustering algorithms [1]. The ability to represent group relationships is use-ful in a number of ways, for example: to character-ize the nature of group-to-group relationships (non-existent, incidental, extensive), to identify individualsin several groups (’group hubs’), to determine the de-gree of similarity between more than two groups and todetect possible ’supergroups’formed by the intersectionof several groups.Therefore, the analysis of groups and their rela-tionships is an interesting area for graph drawing. Tra-
Evaluation of Apicultural Characteristics of First-Year Colonies Initiated From Packaged Honey Bees (Hymenoptera: Apidae)

ABSTRACT We evaluated the performance of six named types of package honey bees, Apis mellifera L (Hymenoptera: Apidae), from four commercial producers. We examined the effects of levels of the parasitic mite Varroa destructor Anderson & Trueman, the endoparasitic mite Acarapis woodi (Rennie), the gut parasite Nosema (species not determined) in samples from bees in 48 packages, and levels of adult drones in the same packages on corresponding levels of those same traits in the fall in colonies that developed from those 48 packages. After package installation, we measured the rate of queen failure, the removal of freeze-killed brood (an assay to assess hygienic behavior), varroa-sensitive hygiene, and short-term weight gain in all colonies. We examined the correlations among these traits and the effect of initial package conditions and package-type on the expression of these traits. In general, differences among sources were not significant, except that we did observe significant differences in the proportion of mite infected worker brood in the fall. There was no significant difference in weight gain in colonies established from nosema-infected packages versus those established from noninfected packages. Freeze-killed hygienic behavior and varroa-sensitive hygienic behavior were positively correlated, suggesting that both traits could be selected simultaneously. Neither trait was correlated with colony weight gain, suggesting that both traits could be selected without compromising honey production.
Psoralen and Ultraviolet A Light Treatment Directly Affects Phosphatidylinositol 3-Kinase Signal Transduction by Altering Plasma Membrane Packing*

Psoralen and ultraviolet A light (PUVA) are used to kill pathogens in blood products and as a treatment of aberrant cell proliferation in dermatitis, cutaneous T-cell lymphoma, and graft-versus-host disease. DNA damage is well described, but the direct effects of PUVA on cell signal transduction are poorly understood. Because platelets are anucleate and contain archetypal signal transduction machinery, they are ideally suited to address this. Lipidomics on platelet membrane extracts showed that psoralen forms adducts with unsaturated carbon bonds of fatty acyls in all major phospholipid classes after PUVA. Such adducts increased lipid packing as measured by a blue shift of an environment-sensitive fluorescent probe in model liposomes. Furthermore, the interaction of these liposomes with lipid order-sensitive proteins like amphipathic lipid-packing sensor and α-synuclein was inhibited by PUVA. In platelets, PUVA caused poor membrane binding of Akt and Bruton's tyrosine kinase effectors following activation of the collagen glycoprotein VI and thrombin protease-activated receptor (PAR) 1. This resulted in defective Akt phosphorylation despite unaltered phosphatidylinositol 3,4,5-trisphosphate levels. Downstream integrin activation was furthermore affected similarly by PUVA following PAR1 (effective half-maximal concentration (EC50), 8.4 ± 1.1 versus 4.3 ± 1.1 μm) and glycoprotein VI (EC50, 1.61 ± 0.85 versus 0.26 ± 0.21 μg/ml) but not PAR4 (EC50, 50 ± 1 versus 58 ± 1 μm) signal transduction. Our findings were confirmed in T-cells from graft-versus-host disease patients treated with extracorporeal photopheresis, a form of systemic PUVA. In conclusion, PUVA increases the order of lipid phases by covalent modification of phospholipids, thereby inhibiting membrane recruitment of effector kinases.
ON THE NATURE OF THE INHIBITOR OF URINARY ALKALINE PHOSPHATASE.

The inhibition of urinary alkaline phosphatase has been shown to be caused principally by the inorganic phosphates which are naturally excreted in urine. An inorganic phosphate concentration of 15 mg. /100 ml. resulted in approximately 50% inhibition, and that of 120 mg. /100 ml. in an inhibition of about 90%. Evidence is presented which shows that the inhibition is of the competitive type.
Upregulation of the Maturation-Inducing Steroid Membrane Receptor in Spotted Seatrout Ovaries by Gonadotropin During Oocyte Maturation and Its Physiological Significance1

Abstract Changes in ovarian maturation-inducing steroid (MIS; 17,20β,21-trihydroxy-4-pregnen-3-one [20β-S]) membrane receptor concentrations during the reproductive cycle were investigated in spotted seatrout (Cynoscion nebulosus) captured at their spawning grounds. Ovarian receptor concentrations increased gradually during ovarian recrudescence and subsequently increased rapidly during oocyte maturation, reaching 3.5-fold the prematuration values by the beginning of ovulation. The significant elevation of receptor concentrations by the germinal vesicle migration stage of oocyte maturation was accompanied by increases in circulating levels of gonadotropin (LH, GTH II) and MIS (20β-S). The regulation and physiological significance of the increase in ovarian MIS membrane receptor concentrations were investigated in a double in vitro incubation system. Incubation of fully grown, follicle-enclosed oocytes with hCG (10 IU/ml) for 6 h caused a two- to fourfold increase in oocyte and ovarian MIS receptor concentrations and the development of oocyte maturational competence (OMC; ability to complete oocyte maturation in vitro in response to exogenous 20β-S in a second incubation). Both upregulation of the MIS receptor and development of OMC in response to gonadotropin were blocked by coincubation with actinomycin D or cycloheximide, which are inhibitors of mRNA and protein synthesis, respectively, but not by cyanoketone, which is an inhibitor of 3β-hydroxysteroid dehydrogenase-dependent steroid synthesis. Incubation with a variety of steroids, including 20β-S, failed to increase receptor concentrations or to induce OMC, further supporting a steroid-independent mechanism of gonadotropin action. In contrast, insulin-like growth factor I (IGF-I) mimicked the actions of gonadotropin, which suggests IGF-I may be a component of the hormone signaling pathway. A close correlation was found between the relative increase in MIS receptor concentrations and the percentage of oocytes that became maturationally competent after treatment with different concentrations of gonadotropins and drugs that elevate cAMP levels. The finding that upregulation of the MIS receptor in response to gonadotropin and other treatments is invariably associated with the development of OMC indicates that these two processes are intimately related, and it suggests that the increase in MIS receptor concentrations is a critical regulatory step in the hormonal control of oocyte maturation.
Assets focus risk management framework for critical infrastructure cybersecurity risk management

Critical infrastructure (CI) is vital for the overall economic growth and its reliable and safe operation is essential for a nation's stability and people's safety. Proper operation of the assets is essential for such a system and any threats that could negatively impact the asset could have a severe disruption. Risk management is an important aspect of the protection of CI. There are several frameworks and methodologies for identifying assets, quantifying and analysing vulnerabilities. However, there is a lack of focus on the interdependencies among the assets and cascading effect of the inherent vulnerabilities on the asset. This study attempts to bridge that gap by presenting a novel asset focus risk management approach for the CI. It presents a systematic methodology for identifying and analysing critical assets, their potential vulnerabilities, threats and risks facing CI. This work taking into account cascading vulnerability impacts on assets leading to threats and causing risk. The authors use a running example from a smart grid system to demonstrate the usability of the approach. The result shows that some assets are prioritised and more vulnerable than other assets for the power grid system and it can severely impact on the overall business continuity.
Significance of internal battery resistance on the remaining range estimation of electric vehicles

This paper investigates the significance of internal losses of high-voltage lithium-ion batteries on the range estimation algorithms of Electric Vehicles (EV) and proposes a method for predicting the internal battery losses in close cooperation with the vehicle's control strategy. The method combines a vehicle consumption model taking into account trip-based information containing speed limits, live traffic and elevation data within a modular battery prediction model. The battery model calculates future losses of the internal battery resistance based on the control strategy's predicted energy consumption. The battery model takes into account the Temperature, State of Charge (SOC) and State of Health (SOH) parameters of the battery. Simulation results show that internal battery losses vary significantly depending on intensity and form of discharge and also the State of Charge and Temperature. It is demonstrated that varying internal battery losses can be responsible for inaccuracies in current range estimation algorithms. The proposed method aims at reducing these inaccuracies.
Antenatal betamethasone dose effects in preterm rabbits studied at 27 days gestation.

Pregnant rabbits received bethamethasone (0.05, 0.2, 0.4, or 0.5 mg.kg-1.day-1) or vehicle control for 2 days before delivery of fetuses at 27 days gestation to evaluate dose-related effects on surfactant pool sizes with and without ventilation, pressure-volume measurements, lung protein leaks, and precursor incorporation into lung saturated phosphatidylcholine (PC). Alveolar wash-saturated PC pool sizes in betamethasone-exposed fetuses were less than in controls (P less than 0.01). At higher doses, total lung saturated PC also decreased (P less than 0.01). Maximal lung volumes on pressure-volume loops were larger than controls only at the 0.4 mg.kg-1.day-1 dose (P less than 0.05). The larger maximal volumes, despite decreased saturated PC pools, indicated increased responsiveness of the steroid-treated lungs to the smaller saturated PC pool sizes. Vascular-to-alveolar iodinated albumin leak decreased with steroid treatment independently of dose (P less than 0.01). No consistent pattern of increased precursor incorporation into saturated PC by lung slices was seen. Our results indicate that, in preterm rabbits exposed to a range of maternal corticosteroid doses, the beneficial lung maturational effect of structural alterations with increased responses to endogenous saturated PC pools was maximal even at the lowest dose.
Voltage versus current driven high frequency EIT systems

A voltage driven EIT system is discussed capable of imaging at high voltage frequencies. This system makes no use of current sources to inject the current and no common mode feedback is implemented. However, experiments have shown that the sampled data compared to simulated data does not show a large systematic error (less than 2% for 12 bit ADC's).
Prediction of Users Retweet Times in Social Network

In view of the fact that the propagation path topology cannot effectively deal with complex social network consists of hundreds of millions of users. More researchers choose to use machine learning methods to complete retweet prediction. Those use the classification method to judge whether a message will be retweeted or not. This paper argues that retweet prediction should be regression analysis problem, not just the classification problem. Through collecting user characteristics on Twitter and selecting some features which have an important impact on the retweet behavior, a Prediction algorithm Based on the Logistic Regression for users Retweet Times in social network was proposed. Experiment results based on the actual data set show the regression analysis predicting model has a good predicting accuracy in dealing with retweet predicting, the proposed method is effectiveness.
Efficient macromodeling of power-bus structures based on 2D-integral equation approach

A numerically very efficient simulation method for the analysis of arbitrarily shaped power-bus structures on printed-circuit boards is presented. It is based on a 2D contour integral-equation method in combination with a subsequent macromodeling step, for simulation in time- and frequency domain. For this purpose a vector-fitting approach is applied, yielding a SPICE-compatible equivalent circuit representation of the power bus. The presented approaches allow us to embed the power planes as a linear N port into a circuit simulator, in order to perform a complete analysis of a power-bus system with active and passive components and the complete decoupling circuitry. The accuracy of the suggested method is validated by independent 3D-full wave simulations and experimental results.
The relationship between characteristics of supported housing and the quality of life of older adults with severe mental illness

This study examined whether group living (as opposed to single living), staff availability and degree of personal freedom are associated with the quality of life of older adults with severe mental illness. A cross-sectional study was carried out in 18 supported living programmes in residential homes for the elderly that differed in terms of these three characteristics. The study included 35 patients with a psychotic disorder and 38 with an anxiety or mood disorder. Quality of life was assessed with the Philadelphia Geriatric Centre Morale Scale (PGCMS) and the Manchester Short Assessment of Quality of Life (MANSA). No association was found between group living and quality of life. Availability of psychiatrically trained staff was associated with life quality only for patients with a psychotic disorder, and perceived amount of personal freedom was associated with life quality only for patients with a non-psychotic disorder. Both differences were seen only on the PGCMS Agitation subscale. Older people with psychotic disorders appear to have relatively high needs for professional psychiatric support, and those with non-psychotic disorders for control over their daily lives. Further research is needed in other settings for older people with severe mental illness, preferably using longitudinal designs.
Forbearance Patterns in the Post-Crisis Period

Using supervisory loan-level data on corporate loans, we show that banks facing high levels of non-performing loans relative to their capital and provisions were more likely to grant forbearance measures to the riskiest group of borrowers. More specifically, we find that risky borrowers are more likely to get an increase in the overall limit or the maturity of a loan product from a distressed lender. As a second step, we analyse the effectiveness of this practice in reducing the probability of default. We show that the most common measure of forbearance is effective in the short run but no forbearance measure significantly reduces the probability of default in the long run. Our evidence also suggests that forbearance and new lending are substitutes for banks, as high shares of forbearance are negatively correlated with new lending to the same group of borrowers. Taken together, these findings can help policy makers shape surveillance and regulation in a future recovery from the Covid-19 pandemic.
Customer relationship management research in hospitality industry: a review and classification

ABSTRACT This study reviews research articles published in the area of Customer Relationship Management (CRM) in the hospitality industry. The aim of this article is to systematically review the entire hospitality CRM literature to identify topical themes and trends. For this systematic literature review, four databases, namely, Elsevier, Emerald Insight, Sage, and Taylor and Francis were chosen to identify the research work published in the said arena. A total of 136 articles with 9900 citations in 46 journals were chosen from the four databases as they contained the relevant articles. These research papers were reviewed and classified based on their year of publication, journal of publication, databases, topics and key themes that emerged over the years. The gaps and trends were also identified to suggest further scope of research.
Growth Illusion in The Indonesia Stock Exchange: Relationship Between Earnings Management and Firm Value

Abstract: This research aimed to examine whether earnings management (EM) proxied with the practice of accrual management (AM) and real activity manipulations (RM) is related to the increase of firm value (FV) in the manufacturing industry in the IDX in the period 2010–2014. Subsequently, based on the normative and formal testing, the fixed effect model was selected as the appropriate model. The results of this empirical investigation indicate that an abnormal production cost (RMP) based RM practice tends to increase FV. Nevertheless, AM and abnormal discretionary expenses (RMD) based RM do not exhibit the same evidence. The results of the additional testing showed that the relationship between EM and FV differed when the firm was audited by an auditor affiliated with the big 4 auditors, when there was an institutional investor in the firm ownership and when IFRS was adopted. This research contributes to the literature on earnings management by suggesting that value creation drives the increase of FV by managers through the practices of RMP-based earnings management. The results indicate misinformation between the managers and the market, which makes FV growth become a mere illusion. Furthermore, the proposed model is expected contribute to researchers, regulators, investors, and analysts in evaluating the quality of accounting numbers and predicting the value relevance of earnings. Abstrak: Penelitian ini bertujuan untuk menguji apakah manajemen laba (EM) yang diproksikan dengan praktik manajemen akrual (AM) dan manipulasi aktivitas riil (RM) terkait dengan peningkatan nilai perusahaan (FV) dalam industri manufaktur di BEI di periode 2010–2014. Selanjutnya, berdasarkan pengujian normatif dan formal, fixed effect model dipilih sebagai model yang paling sesuai. Hasil dari investigasi empiris menunjukkan bahwa praktik RM berbasis abnormal production cost (RMP) cenderung meningkatkan FV. Namun demikian, AM dan RM berbasis abnormal discretionary expenses (RMD) tidak menunjukkan bukti yang sama. Hasil dari pengujian tambahan menunjukkan bahwa hubungan antara EM dan FV berbeda ketika perusahaan diaudit oleh auditor yang berafiliasi dengan auditor big 4, ketika adanya investor institusional di dalam kepemilikan perusahaan, dan ketika IFRS telah diadopsi. Penelitian ini berkontribusi pada literatur tentang manajemen laba dengan menunjukkan bahwa peningkatan FV didorong oleh penciptaan nilai melalui praktik manajemen laba berbasis RMP. Hasilnya menunjukkan mis-informasi antara manajer dan pasar menciptakan pertumbuhan FV hanya ilusi belaka. Selanjutnya, model yang diusulkan diharapkan dapat membantu peneliti, regulator, investor dan analis dalam mengevaluasi kualitas angka akuntansi dan memprediksi relevansi nilai atas laba perusahaan.
Why Does Portfolio Choice Correlate Across Generations

We find that investors tend to hold the same securities as their parents. Instrumental variables that exploit social networks and a natural experiment based on mergers allow us to attribute the security-choice correlation to social influence within families. This influence runs not only from parents to children, but also in the opposite direction. Security holdings correlate more when family members are more likely to communicate and when they are more susceptible to social influence. The identical security holdings that social influence generates largely explain why risk-return profiles of household portfolios correlate across generations.
The Relationship Between EAP and EABR Thresholds and Levels Used to Program the Nucleus 24 Speech Processor: Data from Adults

Objective: The objective of this study was to determine the relationship between electrically evoked whole nerve action potential (EAP) and electrical auditory brain stem response (EABR) thresholds and MAP threshold (T‐level) and maximum comfort level (C‐level) for subjects who use the Nucleus 24 cochlear implant system. Design: Forty‐four adult Nucleus 24 cochlear implant users participated in this study. EAP thresholds were recorded using the Neural Response Telemetry System developed by Cochlear Corporation. EABR thresholds were measured for a subset of 14 subjects using standard evoked potential techniques. These physiologic thresholds were collected on a set of five electrodes spaced across the cochlea, and were then compared with behavioral measures of T‐level and C‐level used to program the speech processor. Results: EAP thresholds were correlated with MAP T‐ and C‐levels; however, the correlation was not strong. A technique for improving the correlation by combining measures of T‐ and C‐levels made on one electrode with the EAP thresholds was presented. Correlations between predicted and measured T‐ and C‐levels using this technique were 0.83 and 0.77, respectively. Similar results were obtained using the EABR thresholds for a smaller set of subjects. In general, EABR thresholds were recorded at levels that were approximately 4.7 programming units lower than EAP thresholds. Conclusions: Either EAP or EABR thresholds can be used in combination with a limited amount of behavioral information to predict MAP T‐ and C‐levels with reasonable accuracy.