scholarly journals Federated Learning for Spanish Ports as an Aid to Digitization

2021 ◽  
Vol 51 (2) ◽  
pp. 1-17
Author(s):  
Nicoleta González Cancelas ◽  
Beatriz Molina Serrano ◽  
Francisco Soler Flores
Keyword(s):  
Data Exchange ◽  
New Technologies ◽  
High Sensitivity ◽  
Learning Performance ◽  
Single Server ◽  
Large Set ◽  
Digital Information ◽  
Learning Machine ◽  
The Individual ◽  
Private Datasets

Abstract The Spanish Port System is immersed in the process of digital transformation towards the concept of Ports 4.0. This entails new regulatory and connectivity requirements, making it necessary to implement the new technologies offered by the market towards digitalization. The digitalization of the individual processes in a first step helps the exchange of digital information between the members of the port community. The next step will mean that the information flow between the participants of a port community is done in a reliable, efficient, paperless way, and thanks to technologies. However, for the Spanish port sector, data exchange has a competitive disadvantage. That is why Federated Learning is proposed. This approach allows several organizations in the port sector to collaborate in the development of models, but without the need to directly share sensitive port data among themselves. Instead of gathering data on a single server, the data remains locked on your server, and the algorithms and predictive models travel between them. The goal of this approach is to benefit from a large set of data, which contributes to increased Machine Learning performance while respecting data ownership and privacy. Through an Inter-institution or “Cross-silo FL” model, different institutions contribute to the training with their local datasets in which different companies collaborate in training a learning machine for the discovery of patterns in private datasets of high sensitivity and high content. This environment is characterized by a smaller number of participants than the mobile case, with typically better bandwidth and less intermittency.

scholarly journals Application of Vibrational Spectroscopies in the Qualitative Analysis of Gingival Crevicular Fluid and Periodontal Ligament during Orthodontic Tooth Movement

2021 ◽  
Vol 10 (7) ◽  
pp. 1405
Author(s):  
Fabrizia d’Apuzzo ◽  
Ludovica Nucci ◽  
Ines Delfino ◽  
Marianna Portaccio ◽  
Giuseppe Minervini ◽  
...  
Keyword(s):  
Periodontal Ligament ◽  
Tooth Movement ◽  
Gingival Crevicular Fluid ◽  
Orthodontic Tooth Movement ◽  
High Sensitivity ◽  
Data Analysis Procedure ◽  
Vibrational Spectroscopies ◽  
Composition Structure ◽  
The Individual ◽  
Crevicular Fluid

Optical vibrational techniques show a high potentiality in many biomedical fields for their characteristics of high sensitivity in revealing detailed information on composition, structure, and molecular interaction with reduced analysis time. In the last years, we have used these techniques for investigating gingival crevicular fluid (GCF) and periodontal ligament (PDL) during orthodontic tooth treatment. The analysis with Raman and infrared signals of GCF and PDL samples highlighted that different days of orthodontic force application causes modifications in the molecular secondary structure at specific wavenumbers related to the Amide I, Amide III, CH deformation, and CH3/CH2. In the present review, we report the most relevant results and a brief description of the experimental techniques and data analysis procedure in order to evidence that the vibrational spectroscopies could be a potential useful tool for an immediate monitoring of the individual patient’s response to the orthodontic tooth movement, aiming to more personalized treatment reducing any side effects.

Anti-craving biofeedback program in clinical course of pathological addictions

2017 ◽  
Vol 41 (S1) ◽  
pp. s879-s879
Author(s):  
I. Sosin ◽  
Y. Chuev ◽  
A. Volkov ◽  
O. Goncharova
Keyword(s):  
Individual Preference ◽  
Emotional States ◽  
Digital Information ◽  
External Monitoring ◽  
Computer Testing ◽  
Mode Of Life ◽  
Competing Interest ◽  
The Individual ◽  
Monitoring Module ◽  
And Control

IntroductionModern clinical narcology searches for anti-craving programs to overcome psychoactive substances (PAS) pathological addiction with bio-adaptive regulation of systems (BARS).Aims and objectivesTo develop computer modified biofeedback program integrated with Luscher test.MethodTwenty-two PAS addicts who were undergoing biofeedback modified psycho-training were examined. Computer rheoencephalogram (REG) was used as an external monitoring module.ResultsTechnologically novel biofeedback computer modification was developed with preceding Luscher computer testing for determination of the individual preference colour and the colour producing individual unpleasant associations in respondents. Consequently, biofeedback program was corrected differentially by changing standard colour templates for those personified on monitor. Cerebral hemodynamics condition transferred to individually designed for a particular respondent colour registers is used as a homeostatic parameter reflecting alcohol craving presence/absence: in case of the disordered REG parameters the signal reflects the respondent's unpleasant (negative) colour, and with no craving the screen is filled with positive, pleasant, favourite colour. During BARS auto-training the respondents’ skills to mediate present subjective clinical PAS craving manifestations with unpleasant colour and the experimental auto-training method have been mastered, and those psycho emotional states which displace PAS craving symbolic colour from the screen are selected, and it is substituted with favourite colour (symbol of healthy mode of life motivations).ConclusionsUsage of combined BARS biofeedback improved effectiveness of the training and allowed to objectivize and control the condition of the patient getting reliable visual and digital information about either regress or activation of PAS craving and potential relapse of addictive behaviour.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals A Comprehensive Survey on Cyber-Physical Smart Grid Testbed Architectures: Requirements and Challenges

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1043
Author(s):  
Abdallah A. Smadi ◽  
Babatunde Tobi Ajao ◽  
Brian K. Johnson ◽  
Hangtian Lei ◽  
Yacine Chakhchoukh ◽  
...  
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Smart Grids ◽  
Data Exchange ◽  
Information Technologies ◽  
New Technologies ◽  
Rapid Development ◽  
Environmental Benefits ◽  
Future Research ◽  
Time Data

The integration of improved control techniques with advanced information technologies enables the rapid development of smart grids. The necessity of having an efficient, reliable, and flexible communication infrastructure is achieved by enabling real-time data exchange between numerous intelligent and traditional electrical grid elements. The performance and efficiency of the power grid are enhanced with the incorporation of communication networks, intelligent automation, advanced sensors, and information technologies. Although smart grid technologies bring about valuable economic, social, and environmental benefits, testing the combination of heterogeneous and co-existing Cyber-Physical-Smart Grids (CP-SGs) with conventional technologies presents many challenges. The examination for both hardware and software components of the Smart Grid (SG) system is essential prior to the deployment in real-time systems. This can take place by developing a prototype to mimic the real operational circumstances with adequate configurations and precision. Therefore, it is essential to summarize state-of-the-art technologies of industrial control system testbeds and evaluate new technologies and vulnerabilities with the motivation of stimulating discoveries and designs. In this paper, a comprehensive review of the advancement of CP-SGs with their corresponding testbeds including diverse testing paradigms has been performed. In particular, we broadly discuss CP-SG testbed architectures along with the associated functions and main vulnerabilities. The testbed requirements, constraints, and applications are also discussed. Finally, the trends and future research directions are highlighted and specified.

Machine Learning as a Silent Observer of Advanced Geoscience Interpretation

2021 ◽  
Author(s):  
Muhammad Sajid
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Transfer Learning ◽  
Learning Performance ◽  
Learning Approach ◽  
Seismic Fault ◽  
Facies Classification ◽  
The World ◽  
Learning Machine ◽  
Fault Interpretation

Abstract Machine learning is proving its successes in all fields of life including medical, automotive, planning, engineering, etc. In the world of geoscience, ML showed impressive results in seismic fault interpretation, advance seismic attributes analysis, facies classification, and geobodies extraction such as channels, carbonates, and salt, etc. One of the challenges faced in geoscience is the availability of label data which is one of the most time-consuming requirements in supervised deep learning. In this paper, an advanced learning approach is proposed for geoscience where the machine observes the seismic interpretation activities and learns simultaneously as the interpretation progresses. Initial testing showed that through the proposed method along with transfer learning, machine learning performance is highly effective, and the machine accurately predicts features requiring minor post prediction filtering to be accepted as the optimal interpretation.

MOBILE APPLICATION REMOVES SOCIETAL BARRIERS TO P4 MEDICINE

2017 ◽  
pp. 1-3
Author(s):  
J.-P. Michel
Keyword(s):  
Cognitive Abilities ◽  
Mobile Application ◽  
New Technologies ◽  
Global Evaluation ◽  
P4 Medicine ◽  
Fertile Ground ◽  
Definition Of ◽  
The Individual ◽  
The Impact

The overlap between one innovative paradigm (P4 medicine: predictive, personalized, participatory and preventive) and another (a new definition of “Healthy ageing”) is fertile ground for new technologies; a new mobile application (app) that could broaden our scientific knowledge of the ageing process and help us to better analyse the impact of possible interventions in slowing the ageing decline. A novel mobile application is here presented as a game including questions and tests will allow in 10 minutes the assessment of the following domains: robustness, flexibility (lower muscle strength), balance, mental and memory complaints, semantic memory and visual retention. This game is completed by specific measurements, which could allow establishing precise information on functional and cognitive abilities. A global evaluation precedes advice and different types of exercises. The repetition of the tests and measures will allow a long follow up of the individual performances which could be shared (on specific request) with family members and general practitioners.

Assessing Metacognitive Deficiencies and Effectively Instructing Metacognitive Skills

2017 ◽  
Vol 119 (13) ◽  
pp. 1-20
Author(s):  
Marcel V. J. Veenman
Keyword(s):  
Role Model ◽  
Strong Predictor ◽  
Monitoring And Evaluation ◽  
Learning Performance ◽  
Metacognitive Skills ◽  
Learning Behavior ◽  
Metacognitive Instruction ◽  
Conditional Knowledge ◽  
On Line ◽  
The Individual

Metacognitive skills refers to individual abilities for regulating and controlling learning behavior. Orientation, goal setting, planning, monitoring, and evaluation are manifestations of those skills. Given that metacognitive skills directly affect learning behavior, they are a strong predictor of learning performance. Students display a huge variation in metacognitive skillfulness, dependent on age and experience. In this article, metacognitive skills are considered to be an acquired program of self-instructions, that is, an orderly series of condition-action rules that contain conditional knowledge about when to apply which skill, and operational instructions for how to implement a particular skill. This notion has implications for effective metacognitive instruction in deficient students. Prior to instruction, on-line assessments of metacognitive skillfulness during actual task performance are indispensable for the identification of deficient students and for tailoring metacognitive instruction to the individual needs of students. Instruction should subsequently address what skill to perform when, why, and how (WWW&H), embedded within the context of a given task. Moreover, instruction should explicitly inform students about the benefits of applying metacognitive skills to make them exert the required effort. Finally, teachers may act as role model to students by including explicit metacognitive instruction in their lessons.

Synthesis of Cu2O and ZnO Nanowires and their Heterojunction Nanowires by Thermal Evaporation: A Short Review

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Muhammad Arif Khan ◽  
Samsudi Sakrani ◽  
Syahida Suhaima ◽  
Yussof Wahab ◽  
Rosnita Muhammad
Keyword(s):  
Physical Vapor Deposition ◽  
Thermal Evaporation ◽  
Chemical Properties ◽  
High Sensitivity ◽  
Short Review ◽  
Zno Nanowires ◽  
Oxide Semiconductor ◽  
The Individual ◽  
Photovoltaic Solar Cells ◽  
Physical And Chemical

One dimensional metal oxide semiconductor nanowires of copper (I) oxide (Cu2O), zinc oxide (ZnO), and their heterojunction nanowires possess remarkable physical and chemical properties. ZnO and Cu2O areattractive because the metals are abundant on earth, inexpensive, nontoxic.Moreover, these oxides have useful optical and electrical properties suitable for a wide variety of electrical devices, because their electrical conduction can be predictably controlled by doping. We here restrict the disscussion using a Hot Tube Vacuum Thermal Evaporation. The NWs in these devices will be studied by physical vapor deposition known as vapor-liquid-solid (VLS). Therefore, we explore conventional methods, particularly the VLS of growing ZnO and Cu2O nanowires which are assisted by the catalyst.  In this short review, we report the individual and combined (Cu2O/ZnO) junction nanowires by PVD method.  The main advantages of these composite nanowires are the natural p-n characteristics, the broad light absorption, the high sensitivity to humidity changes, and the fast dynamic response. The combination of all characteristics offered by Cu2O/ZnO nanowires can enable the fabrication of diverse sensing devices, and photovoltaic solar cells.

scholarly journals THE NEED FOR INFORMATION AND THE ATTITUDE TOWARDS DIGITAL TECHNOLOGIES AS FACTORS OF CRITICAL AND UNCRITICAL DISSEMINATION OF PANDEMIC NEWS

2021 ◽  
pp. 170-195
Author(s):  
Elena I. Rasskazova ◽  
Galina V. Soldatova ◽  
Yulia Y. Neyaskina ◽  
Olga S. Shiriaeva
Keyword(s):  
Subjective Experience ◽  
New Technologies ◽  
Modern Society ◽  
Sociodemographic Factors ◽  
Subjective Experiences ◽  
Individual Level ◽  
Related Information ◽  
Digital World ◽  
The Individual ◽  
The Relationship

Relevance. The modern society creates the image of a successful person as actively interacting with different information flows, including an impressive stream of news content. This paper assumes that there is a personal need for tracking and spreading news that develops in the interaction between person and digital world. The individual level of this need could explain the interaction with information (its critical and uncritical dissemination) and the subjective experience of its redundancy and inaccuracy, including those experiences and actions in a pandemic situation. The aim of the study was to reveal the relationship of the subjective need for news with personal values, beliefs about technologies (“technophilia”) and the dissemination of news about the pandemic. Method. 270 people (aged 18 to 61) filled out The short (Schwartz) Portrait Values Questionnaire (PVQ), Beliefs about New Technologies Questionnaire, Monitoring of Information about Coronavirus Scale as well as items on the subjective need for receiving and disseminating news, readiness for critical and non-critical dissemination of news about pandemics, subjective experiences of redundancy and distrust of pandemic-related information. Results. According to the results, the Need for News Scale allows assessing the subjective importance of receiving news and discussing them with other people and is characterized by sufficient consistency and factor validity. The need for regular news is more pronounced among men, older people, people with higher education, married people, people who have children, while the need to discuss news is not related to sociodemographic factors. For people, who are more prone to technophilia, it is more important to regularly receive and discuss news information with others, which, in turn, mediates the relationship between technophilia and monitoring news about coronavirus. The need for news dissemination mediates the relationship between technophilia and readiness for critical and non-critical dissemination of information about the pandemic.

scholarly journals Large Deviations for the Single-Server Queue and the Reneging Paradox

2021 ◽  
Author(s):  
Rami Atar ◽  
Amarjit Budhiraja ◽  
Paul Dupuis ◽  
Ruoyu Wu
Keyword(s):  
Large Deviations ◽  
Decay Rate ◽  
Sample Path ◽  
Arrival Rate ◽  
Rate Function ◽  
Service Rate ◽  
Single Server ◽  
Large Deviations Principle ◽  
Long Run ◽  
The Individual

For the M/M/1+M model at the law-of-large-numbers scale, the long-run reneging count per unit time does not depend on the individual (i.e., per customer) reneging rate. This paradoxical statement has a simple proof. Less obvious is a large deviations analogue of this fact, stated as follows: the decay rate of the probability that the long-run reneging count per unit time is atypically large or atypically small does not depend on the individual reneging rate. In this paper, the sample path large deviations principle for the model is proved and the rate function is computed. Next, large time asymptotics for the reneging rate are studied for the case when the arrival rate exceeds the service rate. The key ingredient is a calculus of variations analysis of the variational problem associated with atypical reneging. A characterization of the aforementioned decay rate, given explicitly in terms of the arrival and service rate parameters of the model, is provided yielding a precise mathematical description of this paradoxical behavior.

scholarly journals ATTITUDES TOWARD NEW TECHNOLOGIES AND INDIVIDUAL VALUES OF RUSSIANS

2020 ◽  
pp. 54-82
Author(s):  
Т.А. Нестик
Keyword(s):  
New Technologies ◽  
Psychological Predictors ◽  
Individual Values ◽  
Psychological Types ◽  
Openness To Change ◽  
Positive Attitudes ◽  
Personal Attitudes ◽  
The Individual ◽  
Willingness To Use ◽  
The Relationship

Приводятся результаты эмпирического исследования (N=1600), посвященного отношению россиян к новым технологиям. Показано, что позитивное отношение личности к новым технологиям поддерживается ценностями открытости к изменениям и отрицательно связано с ценностями сохранения. Удалось прояснить соотношение когнитивных, аффективных и поведенческих компонентов отношения личности к новым технологиям. Были выделены социально-психологические типы оценивания новых технологий («индифферентные», «ориентированные на влияние значимых других», «разборчивые», «прагматики», «ориентированные на безопасность»), а также социально-психологические типы отношения личности к новым технологиям («технофилы», «тревожные сторонники технического прогресса», «технофобы» и «безразличные к технологиям»). Выявлены социально-психологические предикторы технооптимизма, технофобии, технофилии и готовности использовать новые технологии. На основании проведенных исследований можно сделать вывод о том, что технофилия и технофобия являются не противоположными полюсами одной шкалы, а разными феноменами, связанными друг с другом. The results of an empirical study (N = 1600) devoted to the attitudes of Russians towards new technologies are presented. It is shown that the positive attitudes of the individual to new technologies is supported by the values of openness to change and is negatively associated with the values of conservation. We managed to clarify the relationship between the cognitive, affective and behavioral components of personal attitudes to new technologies. We have identified several socio-psychological types of assessment of new technologies ("indifferent", "relying on social support", "discerning", "pragmatists", "safety-oriented"), as well as socio-psychological types of personality attitudes to new technologies ("technophiles", "anxious supporters of technical progress", "technophobes", and "indifferent to technology"). The socio-psychological predictors of techno-optimism, technophobia, technophilia and willingness to use new technologies were identified. Based on the research carried out, it can be concluded that technophilia and technophobia are not opposite poles of the same scale, but different phenomena related to each other.

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