70 research outputs found
Phylogenetic degrees for claw trees
Group-based models appear in algebraic statistics as mathematical models
coming from evolutionary biology, respectively the study of mutations of
organisms. Both theoretically and in terms of applications, we are interested
in determining the algebraic degrees of the phylogenetic varieties coming from
these models. These algebraic degrees are called phylogenetic degrees. In this
paper, we compute the phylogenetic degree of the variety with
and any
-claw tree. As these varieties are toric, computing their phylogenetic
degree relies on computing the volume of their associated polytopes .
We apply combinatorial methods and we give concrete formulas for them
Classification of normal phylogenetic varieties for tripods
We provide a complete classification of normal phylogenetic varieties coming
from tripods, and more generally, from trivalent trees. Let be an abelian
group. We prove that the group-based phylogenetic variety ,
for any trivalent tree , is projectively normal if and only if
Fetal Central Nervous System Abnormalities
Central nervous system (CNS) is one of the most frequent sites for prenatal diagnosed congenital abnormalities (10 per 1000 live births, much higher than the heart—eight per 1000, kidneys—four per 1000, and other fetal systems). Due to the evolving pattern, ultrasound screening for fetal brain malformations is usually performed at 19–22 weeks’ gestation, but severe congenital anomalies can be diagnosed much earlier. This chapter is a short review, structured in eight subchapters: the first one is dedicated to the normal ultrasound aspect of different CNS segments, and the following ones are to detect pathology in prenatal life. We used many ultrasound images and tried to correlate the prenatal findings with the ones obtained postpartum/postabortum for each case, by means of pathology/imaging techniques
The Knowledge Society at Crossroads: The Road Map and Incubating Role of the Competitive Intelligence, Digitalization and Neurosciences
The today human being is part of the technological and scientific development dominated by information as a both raw material and base of knowledge.
The easy and open accesses to information thrust forward the frontiers of development and communication, enlarge the development\u27s paths and generate amazing changes, faster than ever happened. The way that data bases increase its volume becomes the most actual and complex problem.
The ability to extract and process the knowledge and the speed of its processing represent unknown and provocative challenges for business profit and the intelligent society success. Their extraction from the informational noise and the ability to react and rapidly communicate are also important to be accurately customized and harmonised with the social elements.
This paper demonstrates the usefulness of neuroscience, neuro-technologies and cognitive computing in finding innovative and customized solutions for solving complex problems in business.
The conclusion of our study is that, in order to have an advanced and competitive European Union, it is absolutely necessary to develop innovative solutions for Competitive Intelligence that would include the fundamental elements of neuro-technologies and advanced Artificial Intelligence as Cognitive Business profitable keys
THE KNOWLEDGE SOCIETY AT CROSSROADS: THE ROAD MAP AND INCUBATING ROLE OF THE COMPETITIVE INTELLIGENCE, DIGITALISATION AND NEUROSCIENCES
The today human being is part of the technological and scientific development dominated by information as a both raw material and base of knowledge.The easy and open accesses to information thrust forward the frontiers of development and communication, enlarge the development's paths and generate amazing changes, faster than ever happened. The way that data bases increase its volume becomes the most actual and complex problem.The ability to extract and process the knowledge and the speed of its processing represent unknown and provocative challenges for business profit and the intelligent society success. Their extraction from the informational noise and the ability to react and rapidly communicate are also important to be accurately customized and harmonised with the social elements.This paper demonstrates the usefulness of neuroscience, neuro-technologies and cognitive computing in finding innovative and customized solutions for solving complex problems in business.The conclusion of our study is that, in order to have an advanced and competitive European Union, it is absolutely necessary to develop innovative solutions for Competitive Intelligence that would include the fundamental elements of neuro-technologies and advanced Artificial Intelligence as Cognitive Business profitable keys
Competitive Intelligence and Neuro-Technologies: The New Strategic Tools to Boost The Digital Economy
Purpose – This paper aims to bridge the conceptual gap between the competitive intelligence domain and the current digital transformation and adaptation to the new values, norms, requests and expectations of Industry 4.0. Starting with the theoretical and chronological background attributed to the current developments, the following pages proceed to developing the argument that the Competitive Intelligence domain has become an imperative for the whole process of decision-making involved in Industry 4.0, applied to all businesses, disregard their status, domain, or turnover.
Design/methodology/approach – Adopting a multidisciplinary perspective, the paper uses both a theoretical and practical approach to the main concepts involved: Competitive Intelligence, neuro-technologies, Industry 4.0. While defining those central concepts and presenting the chronological evolution of the economic domain, it also provides examples of key tools and their application in the current Digital Era.
Findings – The current times are marked by a process of transition from digital transformation to digitization in almost all global businesses. The transition to digitalization affects the entire organizational ecosystem by integrating with digital solutions the value chain of global business. While the paper limits itself to setting the stage for future research, it still provides a valid range of theoretical knowledge and pragmatic applicability of the discussed concepts in the context of the current developing global reality.
Originality/value – Beyond the theoretical and chronological analysis, a valuable content of this paper is the discussion of innovative tools within the domain of competitive intelligence and neuro-technologies to enhance the adaptability to rapidly changing conditions, the agility in decision-making and the flexibility to redesign the existing strategies based on pertinent analysis of a great influx of informatio
Strong predictors of offender drivers: drug and alcohol addiction and the inability to dissociate binge alcohol or drug consumption from driving. Revoking their driver’s licence may not be enough
The causes underlying traffic offender behaviour might be the tip of the iceberg that represents a persistent burden on global health and serves to detect other serious social, family, work problems. Better understanding and prevention of recidivism following a First-time driving under the influence conviction and analysis of High Risk offender driver behaviors are needed. This study seeks to identify the factors that predict an offender driver profile, analysing not only drivers’ general use of alcohol and/or drugs, but also their ability to dissociate the use of alcohol and other substances from driving. A total of 315 drivers — 97 offenders (95.9 % men) and 218 non-offenders (47.2 % men) responded to a battery of self-report evaluation questionnaires on: alcohol use habits (measured with the AUDIT); drug use (measured with the DAST-20); the ability of dissociating alcohol and substance use from driving; educational level; self-reported traffic violations, errors and lapses (measured with the DBQ, Driver Behaviour Questionnaire); and sociodemographic questions. The model showed good fit indicators (R2 = 0.74). It also displayed good predictive power: (1). It correctly classified 91 % of participants as offender or non-offender drivers. (2). More specifically, its sensitivity was 88 %, having correctly classified offenders as offenders. And its specificity was 92 %, having correctly classified non-offenders as non-offenders. The findings underscores that not only is alcohol use a key predictor of offending behaviour, but so is drug use. These addictions are a health problem, and their consequences are more serious when the afflicted individual drives a vehicle. This article makes evident that repeat offenders have a lower ability of dissociating alcohol and substance use from driving than do non-offender drivers. Non-offenders are shown to be more capable than offenders of dissociating consumption from driving: offender drivers are unable to dissociate the consumption of more than 5 spirit drinks, or the consumption of cannabis, from driving. More than half of non-offender drivers admitted to driving after having had 1 or 2 beers. Along these same lines, we found that offenders believe they have fewer lapses than non-offenders. This could be due to the optimism bias of bold offender drivers, who overestimate their abilities and underestimate their lapses. We also found that offender drivers have a lower educational level. Revoking the High Risk offender’s driver’s licence may not be enough. Instead, High Risk Offenders should be given the support they need to give up the consumption of alcohol and drugs, at least while driving. This could be achieved if they receive motivational interventions and are referred for detoxification treatment.Plan Nacional de Drogas, Ministerio
de Sanidad, Consumo y Bienestar Social (MCBS), PND-020-019 and the Grants: PID2020-113878, PID-2021-12944-IOO, PYC20RE022,
funded by MCIN/AEI/10.13039/501100011033Junta de Andalucía and the “European Union
BIOCHEMICAL AND HISTOLOGICAL EFFECTS OF DELTAMETHRIN EXPOSURE ON THE GILLS OF CARASSIUS AURATUS GIBELIO (Pisces Cyprinidae)
This study investigated the alterations in the activities of several antioxidant enzymesin the gills of the freshwater fish Carassius auratus gibelio exposed to deltamethrin.To get this goal, groups of 10 individuals were exposed for one, two, three, sevenand fourteen days to sublethal concentration of deltamethrin (2 g/L). Anothergroup was used as control. The activities of catalase, gluthatione peroxidase andgluthatione reductase were significantly decreased, while the glutathione-Stransferasewas up-regulated. All fish, exposed to 2glL deltamethrin revealed gillsmorphological alterations after 48h of exposure which were accentuated after 14days. In the gills hyperemia, fusion of secondary lamellae, epithelial layer ruptureand chloride cells proliferation were observed. These results suggest that animmediate adaptive response to the oxidative stress appeared, demonstratingalterations in the antoxidant defense mechanism in the gills of deltamethrinintoxicated fish
Competitive Intelligence and Academic Entrepreneurship as Innovative Vectors of a Resilient, Business-Oriented Education
Purpose – The present paper substantiates that the concepts of competitive intelligence and academic entrepreneurship are genuinely connected to the modern society and, through their perpetual and versatile evolution, have an important role in moving the development on the right way.
Design/methodology/approach – Their evolutive is completed by a comparative analysis as appropriate method to point out similarities and differences and identify the way their application may serve innovation as a tool for those activating in the related domains of education, within our highly dynamic world.
Findings – The development of the concepts is meant to link and accelerate the technological and operational innovation to a highly competitive academic environment, business-oriented, as a contribution to its wide potential for profit.
Originality/value – The correlation between the two concepts provides an innovative tool able to serve as a platform helping the competitive intelligence, as design and functions, for any academic entrepreneurship business-oriented
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