Miracle-dz/UniFAR-FTUs huggingface dataset:
Internal capabilities, external networks, and performance: a study on technology‐based ventures

This study examined the influence of internal capabilities and external networks on firm performance by using data from 137 Korean technological start-up companies. Internal capabilities were operationalized by entrepreneurial orientation, technological capabilities, and financial resources invested during the development period. External networks were captured by partnership- and sponsorship-based linkages. Partnership-based linkages were measured by strategic alliances with other enterprises and venture capitalists, collaboration with universities or research institutes, and participation in venture associations. Sponsorship-based linkages consisted of financial and nonfinancial support from commercial banks and the Korean government. Sales growth indicated the start-up's performance. Regression results showed that the three indicators of internal capabilities are important predictors of a start-up's performance. Among external networks, only the linkages to venture capital companies predicted the start-up's performance. Several interaction terms between internal capabilities and partnership-based linkages have a statistically significant influence on performance. Sponsorship-based linkages do not have individual effects on performance but linkage with financial institutions has a multiplicative effect with technological capabilities and financial resources invested on a start-up's performance. Implications and directions for future research were discussed. Copyright © 2001 John Wiley & Sons, Ltd.
Anti-Windup PID Controller With Integral State Predictor for Variable-Speed Motor Drives

The windup phenomenon appears and results in performance degradation when the proportional-integral-derivative (PID) controller output is saturated. Integral windup is analyzed on the PI plane, and a new anti-windup PID controller is proposed to improve control performance of variable-speed motor drives and is experimentally applied to the speed control of a vector-controlled induction motor driven by a pulse width-modulated voltage source inverter. The steady-state value of the integral state is predicted while the PID controller output is saturated, and this value is utilized as an initial value of the integral state when the PID controller begins to operate in a linear range. Simulation and experiments result in more similar speed responses against load conditions and step reference change over conventional anti-windup schemes. Control performance, such as overshoot and settling time, is very similar to that determined by PID gain in the linear range.
Probability of Cortical Infarction Predicted by Flumazenil Binding and Diffusion-Weighted Imaging Signal Intensity: A Comparative Positron Emission Tomography/Magnetic Resonance Imaging Study in Early Ischemic Stroke

Background and Purpose— The differentiation of reversible from irreversible ischemic damage is essential for identifying patients with acute ischemic deficits who may benefit from therapeutic interventions. Diffusion-weighted imaging (DWI) has become the method of choice to detect ischemic lesions. Positron emission tomography (PET) of the central benzodiazepine receptor ligand 11C flumazenil (FMZ) has been shown to be a reliable marker of neuronal integrity. These 2 imaging parameters were compared with respect to the probability to predict cortical infarction in early ischemic stroke. Methods— In 12 patients with acute stroke, results from DWI (median, 6.5 hours after symptom onset) and FMZ–PET (interval, 85 minutes between DWI and PET) were compared with infarct extension 24 to 48 hours after onset of stroke on T2-weighted magnetic resonance imaging (T2-MRI). Probability curves predictive of eventual infarction were computed using respective DWI, FMZ, and apparent diffusion coefficient (ADC) values for voxels of interest (VOI) later classified as representing infarcted or noninfarcted tissue. Results— Ninety-five percent limits predictive of cortical infarction were determined for relative FMZ binding (≤3.2), DWI signal intensity (≥1.18), and ADC values (≤0.83). Cortical regions with values beyond these 95% limits did not necessarily overlap with nor were fully congruous with final cortical infarct volumes. The respective median volumes for these regions were FMZ median 10.9, range 0 to 99.7 cm3; DWI median 15.2, range 0 to 116.0 cm3; ADC median 12.4, range 0 to 112.7 cm3; and final infarct median 14.9, range 0 to 114.7 cm3. Overall, 83.5% of the final infarct, on average, was predicted by decreased FMZ binding, 84.7% by increased DWI signal intensity, and 70.9% by a decreased ADC value. The portions of the final infarct not predicted in the early investigation (false-negatives) were 4.8 cm3 (median) for FMZ, 3.7 cm3 for DWI, and 6.0 cm3 for ADC. The false-positive volumes not included in the final infarct were 0 cm3 (median) for FMZ, 5.1 cm3 for DWI, and 3.6 cm3 for ADC. Conclusions— These results indicate that FMZ–PET and DWI are comparable in the prediction of probability of ischemic cortical infarction, but FMZ–PET carries a lower probability of false-positive prediction. The final infarcts include tissue not identified by these imaging modalities; at the time of the study, these tissue compartments are viable and could benefit from treatment. The discrepancy in predictive probability could be related to the fundamental difference of the measured variables: benzodiazepine receptor activity is a reliable marker of neuronal integrity in the cortex, and movement of water molecules in the extracellular space might be a more variable indicator of tissue damage.
LinkedIn as a new selection method: Psychometric properties and assessment approach

Various surveys suggest LinkedIn is used as a screening and selection tool by many hiring managers. Despite this widespread use, fairly little is known about whether LinkedIn meets established selection criteria, such as reliability, validity, and legality (i.e., no adverse impact). We examine the properties of LinkedIn-based assessments in two studies. Study 1 shows that raters reach acceptable levels of consistency in their assessments of applicant skills, personality, and cognitive ability. Initial ratings also correlate with subsequent ratings done oneyear later (i.e., demonstrating temporal stability), with slightly higher correlations when profile updates are taken into account. Initial LinkedIn-based ratings correlate with self-reports for more visible skills (leadership, communication, and planning) and personality traits (Extraversion), and for cognitive ability. LinkedIn-based hiring recommendations are positively associated with indicators of career success. Potential adverse impact is also limited. Profiles that are longer, include a picture, and have more connections are rated more positively. Some of those features are valid cues to applicants’ characteristics (e.g., applicants high on Conscientiousness have longer profiles). In Study 2, we show that an itemized LinkedIn assessment is more effective than a global assessment. Implications of these findings for selection and future research are discussed.
Sequential Retrieval and Inhibition of Parallel (Re)Activated Representations: A Neurocomputational Comparison of Competitive Queuing and Resampling Models

Sequential behavior is observed in various domains of cognitive psychology, including free recall paradigms. In this article, within a neurocomputational framework, resampling (RS) mechanisms are compared with competitive queuing (CQ) mechanisms. While both types of implementations select the most active representation, the subsequent inhibition is at the level of selection for RS models and at the level of (re)activation for CQ models. It is shown that despite the overwhelming success of CQ models in serial recall (with regard to types of sequencing error) RS models outperform CQ models with regard to inter-response times in a free recall task. Additional analyses show that decay of response suppression reduces the difference between the models. The RS model is sensitive to the size of the search set and accounts for memory selection performance in patients with Alzheimer’s dementia or Huntington’s disease. Finally, a non-mnemonic clustering behavior is observed, which is related to the dynamical process of the selection mechanism.
B2B E-Commerce Success among Small and Medium-Sized Enterprises: A Business Network Perspective

E-commerce (EC) success and related influencing factors have not been investigated properly in the context of small and medium-sized enterprises (SMEs), while these businesses possess very different characteristics as compared to large businesses. The purpose of this study is to provide a better and clearer understanding of business-to-business (B2B) EC value and success within SMEs, particularly in emerging economies. Rooted in the information system (IS) diffusion and success literature and organizational research background, this paper develops an integrative research model to assess the success of B2B EC among Iranian and Malaysian SMEs. To interpret the success of B2B EC, we viewed EC success dimensions and relevant determinants from the perspectives of all users at the business network unit level. The result of testing this model on 130 business network units revealed that in addition to technological characteristics of EC including information, system and service quality, different SME-related organizational determinants such as perceived usefulness of EC, top management support and commitment and EC knowledge are crucial for successful B2B EC among SMEs. The findings offer valuable insights to managers, EC/IS experts and policy makers responsible for assisting SMEs with successfully engaging in B2B EC.
Constraining the Structure of Gamma-Ray Burst Jets through the logN-logS Distribution

A general formalism is developed for calculating the luminosity function and the expected number N of observed gamma-ray bursts (GRBs) above a peak photon flux S for an arbitrary GRB jet structure. This formalism directly provides the true GRB rate for any jet model, instead of first calculating the GRB rate assuming isotropic emission and then introducing a "correction factor" to account for effects of the GRB jet structure, as was done in previous works. We apply it to the uniform jet (UJ) and universal structured jet (USJ) models for the structure of GRB jets and perform fits to the observed log N- log S distribution from the GUSBAD catalog, which contains 2204 BATSE bursts. We allow for a scatter in the peak luminosity L for a given jet half-opening angle θj (viewing angle θobs) in the UJ (USJ) model, which is implied by observations. A core angle θc and an outer edge at θmax are introduced for the structured jet, and a finite range of opening angles θmin ≤ θj ≤ θmax is assumed for the uniform jets. The efficiency for producing γ-rays, ϵγ, and the energy per solid angle in the jet, ϵ, are allowed to vary with θj (θobs) in the UJ (USJ) model, ϵγ ∝ θ-b and ϵ ∝ θ-a. We find that a single power-law luminosity function provides a good fit to the data. Such a luminosity function arises naturally in the USJ model, while in the UJ model it implies a power-law probability distribution for θj, P(θj) ∝ θ. The value of q cannot be directly determined from the fit to the observed log N- log S distribution, and an additional assumption on the value of a or b is required. Alternatively, an independent estimate of the true GRB rate would enable one to determine a, b, and q. The implied values of θc (or θmin) and θmax are close to the current observational limits. The true GRB rate for the USJ model is found to be RGRB(z = 0) = 0.86 Gpc-3 yr-1 (1 σ), while for the UJ model it is higher by a factor f(q), which strongly depends on the unknown value of q.
The cult of the body and its psychological consequences among adolescent girls

Abstract Taking into consideration the problem of “the cult of the body” among young women, the sociocultural context of their upbringing should be analyzed. Nowadays, it can be observed that many young women actively participate in promoting “the cult of the body”. The aim of the aforementioned actions is to get a slim, attractive figure consistent with the trends of women’s attractiveness promoted in the media. The analysis of the social networking sites and blogs indicates that more and more often women themselves are encouraged to promote their attractive, thin image in the Internet. This article will attempt to characterize the phenomenon of “the cult of the body”, in which adolescent women are engaged and which shapes their image of the body and has a potential influence on psychological and physical aspects of their existence. The analysis of the results of the research takes into account the analyzed subject and developmental conditioning of the time of adolescence in the context of sociocultural changes.
A provable SVD-based algorithm for learning topics in dominant admixture corpus

Topic models, such as Latent Dirichlet Allocation (LDA), posit that documents are drawn from admixtures of distributions over words, known as topics. The inference problem of recovering topics from such a collection of documents drawn from admixtures, is NP-hard. Making a strong assumption called separability, [4] gave the first provable algorithm for inference. For the widely used LDA model, [6] gave a provable algorithm using clever tensor-methods. But [4, 6] do not learn topic vectors with bounded l1 error (a natural measure for probability vectors). Our aim is to develop a model which makes intuitive and empirically supported assumptions and to design an algorithm with natural, simple components such as SVD, which provably solves the inference problem for the model with bounded l1 error. A topic in LDA and other models is essentially characterized by a group of co-occurring words. Motivated by this, we introduce topic specific Catchwords, a group of words which occur with strictly greater frequency in a topic than any other topic individually and are required to have high frequency together rather than individually. A major contribution of the paper is to show that under this more realistic assumption, which is empirically verified on real corpora, a singular value decomposition (SVD) based algorithm with a crucial pre-processing step of thresholding, can provably recover the topics from a collection of documents drawn from Dominant admixtures. Dominant admixtures are convex combination of distributions in which one distribution has a significantly higher contribution than the others. Apart from the simplicity of the algorithm, the sample complexity has near optimal dependence on w0, the lowest probability that a topic is dominant, and is better than [4]. Empirical evidence shows that on several real world corpora, both Catchwords and Dominant admixture assumptions hold and the proposed algorithm substantially outperforms the state of the art [5].
Impact of commuter families on adolescent development: an evaluation of the adolescent from Peninsular Malaysia

This study attempted to address the question concerning the influence of commuter families on adolescent school performance using the proposed Model for Adolescent Development Among Commuter Families (MADCF). We investigated whether the adolescent problem mediates the relationship between parental readiness and adolescent school performance, and clarified the moderating effect of gender. The survey data were drawn from 434 respondents (adolescents-parents) in Malaysia. The results indicated that the adolescent externalising problem partially mediated the relationship between parental readiness and adolescent school performance. The model accounted for 21% of the variability in adolescent school performance. The moderator findings presented that gender moderates the causal effect of parental readiness and the adolescent externalising problem with respect to adolescent school performance. This study clearly shows the importance of parental readiness, and that the results are in line with the proposed mediation and moderation effects. The model proposed by this study was strongly supported.
DYNAMIC OPTIMAL CONTROL MODEL FOR DUAL-PAIR TREATMENT FUNCTIONS OF DUAL DELAYED HIV-PATHOGEN INFECTIONS

Affirming recent positive results for the possible eradications of dual HIVpathogen infectivity as identified in the literature of this work, the present paper using ordinary differential equations sought and formulated an extended 8-dimensional mathematical dual delay HIV-pathogen dynamic model. The study seek and addressed the epidemiological dynamic optimal control for the application of dual-pair treatment functions following the interplay of dual delay HIV-pathogen infections with host target immune system cells. The novelty of this model is informed by the combination of dual chemotherapy and dual components of cytotoxic T-lymphocytes (CTLs) as dual-pair treatment functions in the presence of delay intracellular and intrinsic virulence index. We articulated the model as an optimal control problem and therefore, adopted classical Pontryagin’s maximum principle of the optimal control theory for its analysis. System stability analysis was equally conducted and optimality system of model established. Using Runge-Kutta of order 4 in a Mathcad surface, model validity was numerically illustrated. Results emphatically
Quantification of surviving cerebellar granule neurones and abnormal prion protein (PrPSc) deposition in sporadic Creutzfeldt–Jakob disease supports a pathogenic role for small PrPSc deposits common to the various molecular subtypes

B. A. Faucheux, E. Morain, V. Diouron, J.‐P. Brandel, D. Salomon, V. Sazdovitch, N. Privat, J.‐L. Laplanche, J.‐J. Hauw and S. Haïk (2011) Neuropathology and Applied Neurobiology37, 500–512
Plasma neutrophil gelatinase-associated lipocalin as a potential predictor of adverse renal outcomes in immunoglobulin A nephropathy

Background/Aims Neutrophil gelatinase-associated lipocalin (NGAL) is a well-known biomarker of acute kidney injury. We evaluated the value of plasma NGAL (pNGAL) as an independent predictor of prognosis in immunoglobulin A nephropathy (IgAN). Methods In total, 91 patients with biopsy-proven IgAN at a single center were evaluated. pNGAL was measured using a commercial enzyme-linked immunosorbent assay kit (R&D Systems). Adverse renal outcome was defined as chronic kidney disease (CKD) stage 3 or above at the last follow-up. Pearson correlation coefficient and Cox regression were used for analyses. Results The mean age of all patients (male:female, 48:43) was 35 years (range, 18 to 77). pNGAL ranged between 21.68 and 446.40 ng/mL (median, 123.97) and showed a correlation with age (r = 0.332, p = 0.001), creatinine (r = 0.336, p = 0.001), estimated glomerular filtration rate (r = -0.397, p < 0.001), uric acid (r = 0.289, p = 0.006), and the protein-to-creatinine ratio (r = 0.288, p = 0.006). During a mean follow-up period of 37.6 months, 11 patients (12.1%) had CKD stage 3 or above. In a multivariate Cox regression model, hypertension (hazard ratio [HR], 8.779; 95% confidence interval [CI], 1.526 to 50.496; p = 0.015), proteinuria > 1 g/day (HR, 5.184; 95% CI, 1.124 to 23.921; p = 0.035), and pNGAL (HR, 1.012; 95% CI, 1.003 to 1.022; p = 0.013) were independent predictors associated with adverse renal outcome. Conclusions pNGAL showed strong correlations with other clinical prognostic factors and was also an independent predictor of adverse renal outcome. We suggest pNGAL as a potential predictor for prognosis in IgAN, while further studies are needed to confirm the clinical value.
Neutralization of Tier-2 Viruses and Epitope Profiling of Plasma Antibodies from Human Immunodeficiency Virus Type 1 Infected Donors from India

Broadly cross neutralizing antibodies (NAbs) are generated in a group of HIV-1 infected individuals during the natural infection, but little is known about their prevalence in patients infected with viral subtypes from different geographical regions. We tested here the neutralizing efficiency of plasma antibodies from 80 HIV-1 infected antiretroviral drug naive patients against a panel of subtype-B and C tier 2 viruses. We detected cross-neutralizing antibodies in approximately 19–27% of the plasma, however the subtype-C specific neutralization efficiency predominated (p = 0.004). The neutralizing activity was shown to be exclusively mediated by the immunoglobulin G (IgG) fraction in the representative plasma samples. Epitope mapping of three, the most cross-neutralizing plasma (CNP) AIIMS206, AIIMS239 and AIIMS249 with consensus-C overlapping envelope peptides revealed ten different binding specificities with only V3 and IDR being common. The V3 and IDR were highly antigenic regions but no correlation between their reciprocal Max50 binding titers and neutralization was observed. In addition, the neutralizing activity of CNP was not substantially reduced by V3 and gp41 peptides except a modest contribution of MPER peptide. The MPER was rarely recognized by plasma antibodies though antibody depletion and competition experiments demonstrated MPER dependent neutralization in two out of three CNP. Interestingly, the binding specificity of one of the CNP (AIIMS206) overlapped with broadly neutralizing mAb 2F5 epitope. Overall, the data suggest that, despite the low immunogenicity of HIV-1 MPER, the antibodies directed to this region may serve as crucial reagents for HIV-1 vaccine design.
B7 Costimulation Molecules Encoded by Replication-Defective, vhs-Deficient HSV-1 Improve Vaccine-Induced Protection against Corneal Disease

Herpes simplex virus 1 (HSV-1) causes herpes stromal keratitis (HSK), a sight-threatening disease of the cornea for which no vaccine exists. A replication-defective, HSV-1 prototype vaccine bearing deletions in the genes encoding ICP8 and the virion host shutoff (vhs) protein reduces HSV-1 replication and disease in a mouse model of HSK. Here we demonstrate that combining deletion of ICP8 and vhs with virus-based expression of B7 costimulation molecules created a vaccine strain that enhanced T cell responses to HSV-1 compared with the ICP8−vhs− parental strain, and reduced the incidence of keratitis and acute infection of the nervous system after corneal challenge. Post-challenge T cell infiltration of the trigeminal ganglia and antigen-specific recall responses in local lymph nodes correlated with protection. Thus, B7 costimulation molecules expressed from the genome of a replication-defective, ICP8−vhs− virus enhance vaccine efficacy by further reducing HSK.