Science, technology, and innovation articulation of local public university with economic and social agents

Within the framework of the increase in investment in science and technology to raise the innovation indicators of the countries, this article presents the need to know the factors that intervene in the process of technology transfer to understand the characteristics of Science, Technology, and Innovation articulation of a local public university with the economic and social agents. Qualitative phenomenological design was used to explore theoretical models and expert opinion. Sample was selected retrospectively and by saturation. Data were processed by categorization and analyzed by triangulation. 20 factors and 5 dimensions were obtained in technology transfer, and three types of articulation. It is concluded that the Science, Technology, and Innovation articulation in a local public university is Type I, and that the characterization has been achieved based on the factors that participate in technology transfer

Dynamics of Coherent States in Regular and Chaotic Regimes of the Non-integrable Dicke Model

The quantum dynamics of initial coherent states is studied in the Dicke model and correlated with the dynamics, regular or chaotic, of their classical limit. Analytical expressions for the survival probability, i.e. the probability of finding the system in its initial state at time $t$, are provided in the regular regions of the model. The results for regular regimes are compared with those of the chaotic ones. It is found that initial coherent states in regular regions have a much longer equilibration time than those located in chaotic regions. The properties of the distributions for the initial coherent states in the Hamiltonian eigenbasis are also studied. It is found that for regular states the components with no negligible contribution are organized in sequences of energy levels distributed according to Gaussian functions. In the case of chaotic coherent states, the energy components do not have a simple structure and the number of participating energy levels is larger than in the regular cases.Comment: Contribution to the proceedings of the Escuela Latinoamericana de F\'isica (ELAF) Marcos Moshinsky 2017. (9 pages, 4 figures

Adiabatic invariants for the regular region of the Dicke model

Adiabatic invariants for the non-integrable Dicke model are introduced. They are shown to provide approximate second integrals of motion in the energy region where the system exhibits a regular dynamics. This low-energy region, present for any set of values of the Hamiltonian parameters is described both with a semiclassical and a full quantum analysis in a broad region of the parameter space. Peres lattices in this region exhibit that many observables vary smoothly with energy, along distinct lines which beg for a formal description. It is demonstrated how the adiabatic invariants provide a rationale to their presence in many cases. They are built employing the Born-Oppenheimer approximation, valid when a fast system is coupled to a much slower one. As the Dicke model has one bosonic and one fermionic degree of freedom, two versions of the approximation are used, depending on which one is the faster. In both cases a noticeably accord with exact numerical results is obtained. The employment of the adiabatic invariants provides a simple and clear theoretical framework to study the physical phenomenology associated to these regimes, far beyond the energies where a quadratic approximation around the minimal energy configuration can be used

Factores del influencer gastron?mico que inducen en la intenci?n de compra del consumidor millenial en restaurantes de cocina de autor

La cuarentena dictada por el gobierno peruano, como consecuencia de la pandemia de COVID-19 llev? al cierre de las puertas de los restaurantes, los cuales se vieron obligados a adaptar sus operaciones a medida que las restricciones fueron aliger?ndose. En paralelo, los influencers gastron?micos dejaron de hacer rese?as de las visitas a los restaurantes y se vieron obligados a generar contenido audiovisual desde casa. Sin embargo, a diferencia de los restaurantes, su comunidad fue en crecimiento al igual que su alcance. Asimismo, cada etapa de flexibilizaci?n del aislamiento social (env?o de deliverys, aforo al 40% y aforo al 100%) fue aprovechada como materia prima para la creaci?n de contenido por los influencers; de esta forma, sus seguidores se mantenian informados sobre todo el movimiento del sector. Frente a esta situaci?n, la presente investigaci?n tiene como objetivo general determinar qu? factores del influencer inducen a que el consumidor millennial tenga la intenci?n de compra en un restaurante de cocina de autor

Does Metabolism of (S)-N-[1-(3-Morpholin-4-ylphenyl)ethyl]-3-phenylacrylamide Occur at the Morpholine Ring? Quantum Mechanical and Molecular Dynamics Studies

The mechanism of Cytochrome P450 3A4 mediated metabolism of (S)-N- [1-(3-morpholin-4ylphenyl)ethyl]-3-phenylacrylamide and its difluoro analogue have been investigated by density functional QM calculations aided with molecular mechanics/molecular dynamics simulations. In this article, we mainly focus on the metabolism of the morpholine ring of substrates 1 and 2. The reaction proceeds via a hydrogen atom abstraction from the morpholine ring by Compound I on a doublet potential energy surface. A transition state was observed at an O-H distance of 1.46 Å for 1 while 1.38 Å for 2. Transition state for the rebound mechanism was not observed. The energy barrier for the hydrogen atom abstraction from 1 was found to be 7.01 kcal/mol in gas phase while 19.53 kcal/mol when the protein environment was emulated by COSMO. Similarly the energy barrier for substrate 2 was found to be 11.07 kcal/mol in gas phase while it was reduced to 12.99 kcal/mol in protein environment. Our previous study reported energy barriers for phenyl hydroxylation of 7.4 kcal/mol. Large energy barriers for morpholine hydroxylation indicates that hydroxylation at the phenyl ring may be preferred over morpholine. MD simulations in protein environment indicated that hydrogen atom at C4 position of phenyl ring remains in closer proximity to oxyferryl oxygen of the heme moiety as compared to morpholine hydrogen and hence greater chance to metabolize at phenyl ring

Zero by 2030 and OneHealth: The multidisciplinary challenges of rabies control and elimination

"Rabies, caused by a negative strand RNA-virus belonging to the genus Lyssavirus (family Rhabdoviridae of the order Mononegavirales), remains of global concern [1]. This vaccine-preventable viral zoonotic disease is present in more than 150 countries and territories [2]. Ac- cording to the World Health Organization (WHO), rabies is estimated to cause ~59,000 human deaths annually, with 95% of cases occurring in Africa and Asia [3,4]. However, rabies still occurs in other regions, such as Latin America and the Caribbean [5–8], Central Asia and the Middle East [9,10]. Whilst a number of animals can host the rabies virus, dogs are the main source of human rabies deaths, contributing up to 99% of all rabies transmissions to humans. Dog-mediated rabies has been eliminated from Western Europe, Canada, the United States of America (USA), Japan and some Latin American countries [11]. Nevertheless, the risk of reintroduction and disease among travellers to risk areas is a matter of concern [12–15]. As occurred with many other communicable and non-communicable diseases, the 2020–2022 COVID-19 pandemic negatively impacted the efforts of control and reemergence of rabies in certain countries [7,16,17]. Post-pandemic challenges to enhance con- trol and prevention are multiple and need urgent actions to achieve the goal in eight years by 2030 [16].

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment

We present the results for CAPRI Round 50, the fourth joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of twelve targets, including six dimers, three trimers, and three higher-order oligomers. Four of these were easy targets, for which good structural templates were available either for the full assembly, or for the main interfaces (of the higher-order oligomers). Eight were difficult targets for which only distantly related templates were found for the individual subunits. Twenty-five CAPRI groups including eight automatic servers submitted ~1250 models per target. Twenty groups including six servers participated in the CAPRI scoring challenge submitted ~190 models per target. The accuracy of the predicted models was evaluated using the classical CAPRI criteria. The prediction performance was measured by a weighted scoring scheme that takes into account the number of models of acceptable quality or higher submitted by each group as part of their five top-ranking models. Compared to the previous CASP-CAPRI challenge, top performing groups submitted such models for a larger fraction (70–75%) of the targets in this Round, but fewer of these models were of high accuracy. Scorer groups achieved stronger performance with more groups submitting correct models for 70–80% of the targets or achieving high accuracy predictions. Servers performed less well in general, except for the MDOCKPP and LZERD servers, who performed on par with human groups. In addition to these results, major advances in methodology are discussed, providing an informative overview of where the prediction of protein assemblies currently stands.Cancer Research UK, Grant/Award Number: FC001003; Changzhou Science and Technology Bureau, Grant/Award Number: CE20200503; Department of Energy and Climate Change, Grant/Award Numbers: DE-AR001213, DE-SC0020400, DE-SC0021303; H2020 European Institute of Innovation and Technology, Grant/Award Numbers: 675728, 777536, 823830; Institut national de recherche en informatique et en automatique (INRIA), Grant/Award Number: Cordi-S; Lietuvos Mokslo Taryba, Grant/Award Numbers: S-MIP-17-60, S-MIP-21-35; Medical Research Council, Grant/Award Number: FC001003; Japan Society for the Promotion of Science KAKENHI, Grant/Award Number: JP19J00950; Ministerio de Ciencia e Innovación, Grant/Award Number: PID2019-110167RB-I00; Narodowe Centrum Nauki, Grant/Award Numbers: UMO-2017/25/B/ST4/01026, UMO-2017/26/M/ST4/00044, UMO-2017/27/B/ST4/00926; National Institute of General Medical Sciences, Grant/Award Numbers: R21GM127952, R35GM118078, RM1135136, T32GM132024; National Institutes of Health, Grant/Award Numbers: R01GM074255, R01GM078221, R01GM093123, R01GM109980, R01GM133840, R01GN123055, R01HL142301, R35GM124952, R35GM136409; National Natural Science Foundation of China, Grant/Award Number: 81603152; National Science Foundation, Grant/Award Numbers: AF1645512, CCF1943008, CMMI1825941, DBI1759277, DBI1759934, DBI1917263, DBI20036350, IIS1763246, MCB1925643; NWO, Grant/Award Number: TOP-PUNT 718.015.001; Wellcome Trust, Grant/Award Number: FC00100