Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of an analysis of clients and interfunctional actions of the company on strategic actions to clients in market orientation in SME hotels

: The objective of this research is to know the effect of the construct customer analysis and interfunctional coordination on the construct Strategic actions for customers in a study on Market Orientation of hotels SMEs from the state of Sonora, Mexico. The data is obtained through a survey of middle management executives. In the method, a statistical analysis with Smart PLS is applied. The results highlight the importance of the quality of the information, the effect of conducting an analysis on clients and the strategies taken for customer service. Regarding its originality, there are few empirical studies in this area of knowledge in the region. The relevance is to provide ideas to make the internal activities of hotels efficient. It is concluded that on a Likert scale from 1 to 5 there is a market orientation above average, with the limitation of not being able to generalize the results to the entire country.
High Output Voltage Based Multiphase Step-Up DC-DC Converter Topology with Voltage Doubler Rectifiers

High Output Voltage Based Multiphase Step-Up DC-DC Converter topology with voltage doubler rectifiers is presented in this paper. High output voltage is obtained due to the series combination of voltage doubler rectifiers on the secondary side of high frequency transformers. This topology is useful in the application where the output voltage is greater than the input. The two loop control strategy has been developed in order to analyze the stable and effective working of the converter topology. Therefore the working mode analysis of the converter topology has been described in detail. The multiphase step-up DC-DC converter topology is first simulated on MATLAB and then a prototype has been designed in order to verify the simulation and experimental results. Finally the simulation and experimental results are found to be satisfactory. DOI: http://dx.doi. org/10.11591/telkomnika.v11i2. 1856 Full Text: PDF
Analysis of Machine Learning Techniques for Heart Failure Readmissions

Background—The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance prediction. We sought to compare the effectiveness of several machine learning algorithms for predicting readmissions. Methods and Results—Using data from the Telemonitoring to Improve Heart Failure Outcomes trial, we compared the effectiveness of random forests, boosting, random forests combined hierarchically with support vector machines or logistic regression (LR), and Poisson regression against traditional LR to predict 30- and 180-day all-cause readmissions and readmissions because of heart failure. We randomly selected 50% of patients for a derivation set, and a validation set comprised the remaining patients, validated using 100 bootstrapped iterations. We compared C statistics for discrimination and distributions of observed outcomes in risk deciles for predictive range. In 30-day all-cause readmission prediction, the best performing machine learning model, random forests, provided a 17.8% improvement over LR (mean C statistics, 0.628 and 0.533, respectively). For readmissions because of heart failure, boosting improved the C statistic by 24.9% over LR (mean C statistic 0.678 and 0.543, respectively). For 30-day all-cause readmission, the observed readmission rates in the lowest and highest deciles of predicted risk with random forests (7.8% and 26.2%, respectively) showed a much wider separation than LR (14.2% and 16.4%, respectively). Conclusions—Machine learning methods improved the prediction of readmission after hospitalization for heart failure compared with LR and provided the greatest predictive range in observed readmission rates.
TIME WINDOWS IN MULTI-AGENT DISTRIBUTED SIMULATION

In this paper we describe a method for optimistic parallel discrete event simulation for multi-agent systems. We present an adaptive metric that calculates the appropriate degree of optimism for an agent process based on the reads and writes made to the shared state by that agent. We conclude by showing how results from our investigations into the application of moving time windows in agent simulation affects future development of the adaptive metric.
Optimal scheduling of distributed energy resources in energy market

Smart grid technology is recognized as an important solution to the various challenges the age-old grid system is facing including but not limited to the increasing demand, high cost, environmental concerns. Smart grid incorporates distributed renewable energy sources and loads through low-voltage distribution network, microgrid. Determining the optimal operational capacity and configuration of the distributed energy resources (DERs) is a key problem in smart grid network. This paper presents a model for optimal scheduling of DERs and proposes its application in energy market. The proposed discrete time optimization model minimizes the operational cost assuming realistic parameters. The simulation results clearly indicate that the proposed approach is economically effective and profitable.
Noncanonical WNT-5A signaling impairs endogenous lung repair in COPD

Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide. One main pathological feature of COPD is the loss of functional alveolar tissue without adequate repair (emphysema), yet the underlying mechanisms are poorly defined. Reduced WNT–&bgr;-catenin signaling is linked to impaired lung repair in COPD; however, the factors responsible for attenuating this pathway remain to be elucidated. Here, we identify a canonical to noncanonical WNT signaling shift contributing to COPD pathogenesis. We demonstrate enhanced expression of noncanonical WNT-5A in two experimental models of COPD and increased posttranslationally modified WNT-5A in human COPD tissue specimens. WNT-5A was increased in primary lung fibroblasts from COPD patients and induced by COPD-related stimuli, such as TGF-&bgr;, cigarette smoke (CS), and cellular senescence. Functionally, mature WNT-5A attenuated canonical WNT-driven alveolar epithelial cell wound healing and transdifferentiation in vitro. Lung-specific WNT-5A overexpression exacerbated airspace enlargement in elastase-induced emphysema in vivo. Accordingly, inhibition of WNT-5A in vivo attenuated lung tissue destruction, improved lung function, and restored expression of &bgr;-catenin–driven target genes and alveolar epithelial cell markers in the elastase, as well as in CS-induced models of COPD. We thus identify a novel essential mechanism involved in impaired mesenchymal–epithelial cross talk in COPD pathogenesis, which is amenable to therapy.
Complete removal of HIV-1 RNA and proviral DNA from semen by the swim-up method: assisted reproduction technique using spermatozoa free from HIV-1

Background:Use of antiretroviral drugs has reduced the mortality rate for HIV infection and many HIV-discordant couples wish to have children. It is possible for an HIV-infected man to father children without risk of HIV transmission if HIV-free spermatozoa can be obtained from his semen. Methods:An improved swim-up method was used to collect HIV-free spermatozoa from the semen of HIV-positive males. Diluted semen was layered over a Percoll solution with a continuous density gradient of 30–98%, and then centrifuged. The bottom layer was collected by cutting the end from the tube and the sperm suspension was collected using the swim-up method. Spermatozoa were tested by nested polymerase chain reaction (PCR) for HIV-1 RNA and DNA, with a detection limit of one copy. Spermatozoa were used for assisted reproduction in 43 couples. Results:HIV-1 RNA and proviral DNA were not detected by nested-PCR assay in all 73 of the collected spermatozoa samples from 52 patients. The HIV-1-negative sperm was used for in vitro fertilization in 12 couples and for intracytoplasmic sperm injection in 31 couples. No detection of HIV-1 RNA or proviral DNA in the culture medium of the fertilized eggs was confirmed again before embryo transfer. Of the 43 female partners, 20 conceived and 27 babies were born. HIV antibodies, HIV RNA and proviral DNA were negative in all of the females and babies. Conclusions:HIV-negative spermatozoa could be obtained from semen of HIV-positive men. The method involves no risk of HIV transmission to female partners and their children.
Seismic Signature of the Continental Crust: What Thermodynamics Says. An Example From the Italian Peninsula

Unraveling the temperature distribution and composition of Earth's crust is key for understanding its origin, evolution, and mechanical behavior. Models of compressional (VP) and shear wave (VS) velocity are obtained from seismological studies and can be interpreted in terms of temperature and composition, using relationship defined through laboratory experiments. These empirical evidences often do not properly account for the effects driven by temperature, pressure, water content, and phase change of minerals. In this study, we use thermodynamic modeling to properly investigate the role of these variables in affecting seismic properties, as a tool to guide (joint) inversion and interpretation of geophysical data. We find that mineralogical phase transitions can be more seismically relevant than a change in chemical composition. In particular, the α‐β quartz transition would cause a jump in acoustic impedance and VP/VS ratio >8%, occurring in the 15–25 km depth range, depending on the thermal gradient. Moreover, in the case of a cold lower crust, the consumption of plagioclase in favor of high‐velocity minerals might represent another relevant seismic discontinuity. Different chemical compositions proposed for the Italian crust would be seismically indistinguishable, since they give overlapping seismic properties. Values of VS < 3.6 km s−1 would imply a strong contribution of sediments and/or partial melt. The VS/density ratio shows a narrow variability, suggesting that densities at depth can be directly derived in first approximation from VS.
PERCOLATION, FIRST-PASSAGE PERCOLATION, AND COVERING TIMES FOR RICHARDSON'S MODEL ON THE n-CUBE (Short title: PERCOLATION ON THE CUBE)

Percolation with edge-passage probability p and first-passage percolation are studied for the n-cube Bn = {0, 1} with nearest neighbor edges. For oriented and unoriented percolation, p = e/n and p = 1/n are the respective critical probabilities. For oriented first-passage percolation with i.i. d. edge-passage times having a density of 1 near the origin, the percolation time (time to reach the opposite corner of the cube) converges in probability to 1 as n → ∞. This resolves a conjecture of David Aldous. When the edge-passage distribution is standard exponential, the (smaller) percolation time for unoriented edges is at least 0.88. These results are applied to Richardson’s model on the (unoriented) n-cube. Richardson’s model, otherwise known as the contact process with no recoveries, models the spread of infection as a Poisson process on each edge connecting an infected node to an uninfected one. It is shown that the time to cover the entire n-cube is bounded between 1.41 and 14.05 in probability as n→∞. Research supported by the National Security Agency under Grant Number MDA904-89-H-2051. Research supported by a National Science Foundation postdoctoral fellowship and by a Mathematical Sciences Institute postdoctoral fellowship. AMS 1991 subject classifications. Primary 60K35; secondary 60C05.
Assessing Environmental Effects upon Modeling the Individual Lactation Curve of a Local Goat Population in a Pastoral System

Simple Summary In pastoral farms, understanding the productivity of local goat milk is crucial; however, comprehensive data on complete lactation and the factors affecting lactation curves are limited. Our study aims to model local goat lactation curves and explore the factors affecting the parameters of individual lactation curves. The observed low production per goat and significant variation highlight potential opportunities for enhancement. Implementing improved farming practices and establishing a national genetic improvement program for a local goat breed in Tunisia could effectively address these challenges. Abstract The present study aims to use Wood’s model to determine the parameters of individual lactation curves in a local goat population and their factors of variation under a pastoral system. A total of 137,927 records from 432 local goats were collected to assess the impact of litter size, year and month of kidding, herd and the age of the dam on lactation curve parameters. Wood’s model parameters were estimated using non-linear regression, and individual curves were fitted. The characteristics of the lactation curves were computed. The initial yield (A), rate of increase (B) and rate of decline (C) parameters in Wood’s model for local goats were 730 g, 0.26 and 0.09 respectively. The values of peak milk production (PP), peak date (PD) and persistency (PC) were 931.88 g/d, 23.39 days and 91.50%, respectively. Persistence was higher in goats with simple births, while peak production increased by around 0.3 kg for each additional kid. The curve parameters “A” and “C” differed according to the herd and month of kidding (p < 0.05); the age of the dam only had an impact on parameter “A” (p < 0.01). Parameter “B” was not significantly influenced by any of the factors considered (p > 0.05). Correlation coefficients among lactation curve characteristics were ranged from −0.20 to 0.89. Due to a significant negative correlation, selecting for parameter “A” may have an adverse effect on parameter “B”, resulting in a shorter time to reach peak production and less persistency, but an increase in peak production among goats. The curves derived from Wood’s model suggest that the shape of the curve may serve as a basis for herd management planning and to improve local population potentialities.
Bow-tie antenna-coupled graphene FETs for direct detection at 0.6THz

The recent demonstration of the electric field effect in graphene, a two-dimensional carbon lattice, and the measurement of its extraordinary room-temperature properties have sparked enormous interest in graphene as a material in electronics. Atomically thin and conductive, graphene has many options for integration with existing electronic devices and opportunities for the development of new devices. Graphene has a high carrier mobility and high carrier saturation velocity at room temperature, two properties which give it the potential for use in high-speed, high-frequency applications. Technologies operating at terahertz (1 1012 Hz) frequencies are becoming more numerous as an effort is made to close the so-called terahertz gap, and graphene has recently emerged as a viable terahertz material. This thesis presents terahertz (THz) direct detectors based on antenna-coupled graphene eld effect transistors (GFETs). These GFETs were fabricated using both mechanically exfoliated graphene and graphene grown by chemical vapor deposition (CVD) and integrated with split bow-tie antennae. These direct detectors are capable of room-temperature rectification of a 0.6 THz signal and achieve maximum optical responsivities of 13.0 V/W and 9.1V/W and minimum noise equivalent power (NEP) of 530 pW/Hz0:5 and 490 pW/Hz0:5 for the CVD and exfoliated detectors, respectively. These results are a significant improvement over previous work done with graphene direct detectors and are comparable to other established direct detector technologies. This is the first time room temperature direct detection has been demonstrated using CVD graphene, and because large-area graphene can be produced by CVD growth, scalable graphene detector production is now a possibility.
On comparing functional fault coverage and defect coverage for memory testing

The manufacturing of high-quality and reliable semiconductor memories is very important. Many memory testing algorithms have been proposed to improve the quality of semiconductor memories by screening out different memory functional faults. However, the relationships between memory function fault types and the types of defects which cause the functional faults are not well understood. Therefore, the effectiveness of memory testing algorithms based on the functional fault models cannot be realistically determined. This paper evaluates the effectiveness of the memory testing algorithms based on the defect coverage by comparing the defect coverage of known memory testing algorithms and the functional fault coverage of the same testing algorithms using the same defect statistics. The experimental results show that the differences among the defect coverage of the 11 memory testing algorithms other than checkerboard and sliding diagonal tests were not significant as previously believed using memory functional fault coverage as the coverage metric.
Brainstem Gliomas

Diffuse intrinsic pontine glioma (DIPG) is the most common type representing approximate‐ ly 80% of brainstem gliomas [5, 6]. They have a dismal prognosis with a median survival of only a year. Their natural history is often compared to but worse than that of supratentorial glioblastoma seen primarily in the adult population. Nondiffuse brainstem gliomas, includ‐ ing focal, dorsal exophytic and cervicomedullary gliomas, are encountered less often and have a better prognosis. However, if untreated, they could also lead to progressive brain‐ stem dysfunction and ultimately death.
An approach for safety assessment in UAS operations applying stochastic fast-time simulation with parameter variation

This paper presents an approach for safety assessment in unmanned aerial system (UAS) operations that uses stochastic fast-time simulation and selected published ground impact fatality/casualty models to calculate fatality risk. The application of simulation allows a sensitivity analysis measuring how different aspects and phases of a UAS operation impact the risk calculations for each of the ground impact models. Specifically, this approach consists of modelling and simulating UAS operations over a defined populated region applying stochastic parameters, such as flight track dispersion, altitude, failure rate, performance variation, and latency due to situational awareness (e.g. BVLOS). Then, published ground impact models are applied to determine the risk in terms of fatalities. This process provides risk metrics in a range, where it is then left to the decision makers as to what constitutes acceptable risk in a given situation.
Asymptotic Sum Rules at Infinite Momentum

6 Equation {2a) is formally diRerent from Kq. (8a) of Ref. 1 because relativistic kinematics are used here; also, we include a factor, 4{q/mz)'", erroneously omitted from Fq. (8b) of Ref. 1. where a, , t(rt) is the singlet (triplet) total Ap cross section at total c.m. kinetic energy tt, and p is the c.m. momentum of the initial protons. ' The inelasticity of the off-shell Ap scattering is accounted for in (2a) by a correction factor —viz. , the ratio of the final to initial Ap c.m. momentum. This factor, which multiplies the elastic 1tp cross section, approaches unity at the higher energies but is important near threshold. The cross section is estimated using an eGective-range approximation for o, , t(rt). Results, using efFective-range parameters obtained from both hypernuclei data and AP scattering data, s are shown in Fig. 2. The lowestenergy IC-production data known to us occurs at Eteb —2.807 GeV/c, ' which is well outside the region of validity for this calculation. Further experimental work is needed in the region of Pl b 2.40 GeV/c. It is clear that the above analysis also applies to the process pp-+ pZE; however, since the square of the pZE' coupling const:ant is an order of magnitude less than that for pftE, ' the pred'icted cross section near threshold is probably too small ( 0.2 ttb) for experimental veriYication. ' G. Alexander, O. Benary, U. Karshon, A. Shapira, G. Yekutieli, R. Engelmann, H. Filthuth, A. Fridman, and B. Schiby, Phys. I.etters 19, 715 (1966). W. J. Fickinger, E. Pickup, D. K. Robinson, and E. O. Salant, Phys. Rev. 125, 2082 (1962).
Interaction between visual and motor cortex: a transcranial magnetic stimulation study

We studied the interaction between the primary visual cortex and the primary motor cortex using paired transcranial magnetic stimulation (TMS) with an interstimulus interval (ISI) in the range 12–40 ms. The connection is inhibitory at rest and possibly mediated by inhibitory interneurones in the motor cortex. The effect with an ISI of 40 ms reverses into facilitation during a visuomotor (but not audiomotor) reaction task. By contrast, there is no change in inhibition with an ISI of 18 ms, suggesting that separate pathways can be probed at different ISIs. We conclude that a physiologically relevant occipito‐motor connection can be activated by means of TMS. It may contribute to visuomotor integration, as well as being involved in certain types of visual epilepsy.
Activation of Promoter P4 of the Autonomous Parvovirus Minute Virus of Mice at Early S Phase Is Required for Productive Infection

ABSTRACT Autonomous parvoviruses are tightly dependent on host cell factors for various steps of their life cycle. In particular, DNA replication and gene expression of the prototype strain of the minute virus of mice (MVMp) are closely linked to the onset of host cell DNA replication, pointing to the involvement of an S-phase-specific cellular factor(s) in parvovirus multiplication. The viral nonstructural protein NS-1 is absolutely required for parvovirus DNA replication and is able to transcriptionally regulate parvoviral and heterologous promoters. We previously showed that the promoter P4, which directs the transcription unit encoding the NS proteins, is activated at the onset of S phase. This activation is dependent on an E2F motif in the proximal region of promoter P4. An infectious MVM DNA clone was mutated in the E2F motif of P4. The wild type and the E2F mutant derivative were tested for their ability to produce progeny viruses after transfection of permissive cells. In the context of the whole MVMp genome, the E2F mutation abolished P4 induction in S phase and inactivated the infectious molecular clone, which failed to become amplified and generate progeny particles. The virus could be rescued when NS proteins were supplied in trans, showing that P4 hyperactivity in S is needed to reach a level of NS-1 expression that is sufficient to drive the viral replication cycle. These data show that E2F-mediated P4 activation at the early S phase is a limiting factor for parvovirus production. The primary barrier to parvovirus gene expression in G1 is thought to be promoter formation rather than activation, due to the poor conversion of the parental single-strand genome to a duplex form. The S dependence of P4 activation may therefore be a sign of the virus adaptation to life in the S-phase host cell. If the conversion block in G1 were to be leaky, the S induction of promoter P4 could be envisioned as a safeguard against the production of toxic NS proteins until cells reach the S phase and provide the full machinery for parvovirus replication.