Main Platform Research Articles

Dynamics modeling and optimal control for multi-information diffusion in Social Internet of Things

As an ingenious convergence between the Internet of Things and social networks, the Social Internet of Things (SIoT) can provide effective and intelligent information services and has become one of the main platforms for people to spread and share information. Nevertheless, SIoT is characterized by high openness and autonomy, multiple kinds of information can spread rapidly, freely and cooperatively in SIoT, which makes it challenging to accurately reveal the characteristics of the information diffusion process and effectively control its diffusion. To this end, with the aim of exploring multi-information cooperative diffusion processes in SIoT, we first develop a dynamics model for multi-information cooperative diffusion based on the system dynamics theory in this paper. Subsequently, the characteristics and laws of the dynamical evolution process of multi-information cooperative diffusion are theoretically investigated, and the diffusion trend is predicted. On this basis, to further control the multi-information cooperative diffusion process efficiently, we propose two control strategies for information diffusion with control objectives, develop an optimal control system for the multi-information cooperative diffusion process, and propose the corresponding optimal control method. The optimal solution distribution of the control strategy satisfying the control system constraints and the control budget constraints is solved using the optimal control theory. Finally, extensive simulation experiments based on real dataset from Twitter validate the correctness and effectiveness of the proposed model, strategy and method.

Research on the Impact of Social Media Platforms on the Market Segmentation of Beauty Products and Optimization of Positioning Strategies

Currently, China has become the world’s second-largest consumer market for cosmetics. The number of licensed cosmetic manufacturers nationwide is more than 5,400, with more than 87,000 cosmetic registration and records subjects of all kinds and nearly 1.6 million products effectively documented. Although domestic brands are on the rise, on the whole, it is still some international brands that occupy the largest share of the domestic cosmetic consumption market. The development of social media, especially social platforms such as RED, where beauty products are the main domain, provides a more efficient data collection platform for domestic beauty brands to penetrate deeper into the market. This paper conducts effective market segmentation in more comprehensive dimensions and develops differentiated positioning strategies. Taking the foundation market as an example, this paper uses RED as the main platform for data mining to provide a reference for the process and ideas for companies to use social media platforms for market segmentation. From the analysis results, the data from social media platforms go beyond the traditional method of market analysis by collecting demographic, geographic data, and so on, by directly segmenting according to consumers’ actively expressed demands, thus making the basis of market segmentation more accurate and refined. Furthermore, the social media platform can show the competition situation of each segmented market. The analysis of competitors’ related data provides a more accurate basis for market assessment and, ultimately, precise positioning.

Website Analysis for Tencent Video

The streaming media platform has become the first choice for most contemporary viewers to watch audio and video online/in real time, and Tencent Video is one of the best. Tencent video mainly has two main platforms: web version and mobile APP. This paper discusses how Tencent video web version improves user engagement and its shortcomings from the theoretical basis of modality, navigability and interactivity.

Cerebrospinal fluid and serum proteomic profiles accurately distinguish neuroaxonal dystrophy from cervical vertebral compressive myelopathy in horses

Cervical vertebral compressive myelopathy (CVCM) and equine neuroaxonal dystrophy/degenerative myeloencephalopathy (eNAD/EDM) are leading causes of spinal ataxia in horses. The conditions can be difficult to differentiate, and there is currently no diagnostic modality that offers a definitive antemortem diagnosis. Evaluate novel proteomic techniques and machine learning algorithms to predict biomarkers that can aid in the antemortem diagnosis of noninfectious spinal ataxia in horses. Banked serum and cerebrospinal fluid (CSF) samples from necropsy-confirmed adult eNAD/EDM (n = 47) and CVCM (n = 25) horses and neurologically normal adult horses (n = 45). . A subset of serum and CSF samples from eNAD/EDM (n=5) and normal (n=5) horses was used to evaluate the proximity extension assay (PEA). All samples were assayed by PEA for 368 neurologically relevant proteins. Data were analyzed using machine learning algorithms to define potential diagnostic biomarkers. Of the 368 proteins, 84 were detected in CSF and 146 in serum. Eighteen of 84 proteins in CSF and 30/146 in serum were differentially abundant among the 3 groups, after correction for multiple testing. Modeling indicated that a 2-protein test using CSF had the highest accuracy for discriminating among all 3 groups. Cerebrospinal fluid R-spondin 1 (RSPO1) and neurofilament-light (NEFL), in parallel, predicted normal horses with an accuracy of 87.18%, CVCM with 84.62%, and eNAD/EDM with 73.5%. Cross-species platform. Uneven sample size. Proximity extension assay technology allows for rapid screening of equine biologic matrices for potential protein biomarkers. Machine learning analysis allows for unbiased selection of highly accurate biomarkers from high-dimensional data.

Superior Mesenteric artery syndrome

Superior mesenteric artery syndrome (SAMS) or Wilkie syndrome is a rare clinical condition, the incidence of superior mesenteric syndrome reported in some previous studies can range from 0.013% to 0.78% but the true incidence is unknown. This syndrome is characterized by extrinsic constriction on the anterior surface of the duodenum by the superior mesenteric artery and the abdominal aorta, leading to the formation of an aortomesenteric angle < 25°, and a decrease in the normal distance between the aorta and the mesenteric artery to 2-8 mm. Objective: Therefore, the objective of the present study is to carry out a systematic review of the literature to describe the superior mesenteric artery syndrome. Methodology: This study is a systematic literature review, with a qualitative approach, with interpretation and analysis of the elements obtained. The research was carried out from the survey of scientific articles found in the main search platforms for scientific articles: ScienceDirect, PubMed, SciELO, Bireme, from 2017 to 2022. Results and discussion: For this review 15 articles were selected as the studies showed that the symptoms of Wilkie syndrome are confusing, epigastric pain, vomiting, heartburn may be signs of other gastrointestinal pathologies such as gastroesophageal reflux, as presented in the literature. In chronic patients, non-operative therapy is often prolonged due to the long period of hospitalization, with a low success rate ranging from 14 to 71%. Strong's operation, gastrojejunostomy, and duodenujejunostomy are treatment options for Wilkie syndrome. Final considerations: The diagnosis of Wilkie syndrome often depends on a high index of clinical exclusion of other diseases, resulting in ineffective symptomatic symptoms. For this reason, a detailed history should be taken and after careful endoscopic evaluation, CT images should be analyzed carefully and surgery should be considered in cases of longer duration with nutritional support, always emphasizing the importance of individual assessment of each patient.

Factors Influencing Students’ Continuance Usage Intention with Virtual Classroom during the COVID-19 Pandemic: An Empirical Study

The constant variation of COVID-19 has intensified the spread and recurrence of the epidemic, and education continues to be hard hit in most countries. The virtual classroom has become the main platform to replace the traditional classroom in the COVID-19 pandemic context. Due to the lack of a comprehensive understanding of college students’ perceptions of the platform system, it is essential to explore the factors and mechanisms that influence students’ willingness to use virtual classrooms consistently to improve the learning efficiency and optimize the effect of educational communication during the epidemic. This study integrates the Delone and McLean (D&M) information systems (IS) success model, expectation–confirmation model (ECM), and instructor quality factor to construct an operational model, and it used a structural equation model to analyze the 411 valid samples received from online questionnaires. The results reveal that the determinants of college students’ perceived usefulness of virtual classrooms are service quality, instructor quality, and confirmation, while system quality has no effect on perceived usefulness in the context of the COVID-19 pandemic. Secondly, system quality, service quality, and instructor quality are three critical antecedents of confirmation, and perceived usefulness and confirmation positively affect satisfaction. Finally, perceived usefulness and satisfaction directly affect college students’ continuance intention.

Priority Scheduling Implementation for Exam Schedule

Scheduling is a common problem that has been raised for a long time. Many algorithms have been created for this problem. Some algorithms offer flexibility in terms of constraints and complex operations. Because of that complexity, many algorithms will need huge computation resources and execution time. A platform like a web application has many restrictions such as execution time and computation resources. A complex algorithm is not suited for the web application platform. Priority scheduling is a scheduling algorithm based on a priority queue. Every schedule slot will produce a queue based on the constraints. Each constraint will have a different weight. Weight in queue represents their priority. This algorithm provides a light algorithm that only needs a few computations and execution times. The exam schedule is one of many problems in educational institutions. A web application is a popular platform that can be accessed from everywhere. Many educational institutions use web platforms as their main system platform. Web platforms have some restrictions such as execution time. Due to web platform restrictions, priority scheduling is a suitable algorithm for this platform. In this study, the author tries to implement a priority scheduling algorithm in scheduling cases with a website platform and shows that this algorithm solution can be an alternative for solving scheduling cases with low computational resources.

Effectiveness of students’ knowledge control at the clinical department of medical university in the conditions of war

General problems of on-line education of clinical disciplines in medical university in the war conditions, peculiarities and advantages of the main educational electronic platforms are discussed; their simultaneous use with traditional methods of knowledge control feasibility is proven.

Role of Parliament and Governance in Bangladesh: Problems and Prospects

Purpose: This paper aims to critically evaluate the role of parliament in ensuring democratic governance as well as good governance in Bangladesh. The basic three functions of a parliament are a) law-making; b) representation; and c) oversight. Thus, parliament plays a crucial role in the development, people participation, rule of law, ensuring accountability and transparency, making laws and policies that promote good governance. Though Bangladesh has started its journey as a parliamentary form of government and past 48 years of its independence amid some(16) years of military intervention, however, the parliament of Bangladesh is not still effective to ensure the core elements of democratic or good governance by its three basic functions. Besides, the parliament of Bangladesh has been facing several problems and challenges to ensure its viability and effectiveness. The paper is a case-oriented qualitative study and based on secondary sources of materials.
 Methodology: The study adopted desktop literature Method
 Findings: The finding of this study is that a democratically elected parliament is the true voice of the people and responsible to the people which serves as the main platform of democratic governance. Besides, the quality of elections is crucial for a truly democratic parliament because parliaments can hardly fulfill their roles, specifically the role of representation, if elections are defective and controversial.
 Unique Contribution to Theory, Practice and Policy: The study concluded that parliament is should establish its functions through modernization by use of the latest technologies including ICT.

Platform participants hedging risk: post-alliance technology search of a platform participant and a rival platform

ABSTRACT Using Oracle’s enterprise software platform ecosystem, we demonstrate how the platform players involved in or affected by alliances adjust their post-alliance technology search behaviours to address potential competitive challenges. While both platform owners and platform participants increase searches for each other’s technology after the formation of a technology alliance, we find that the latter also increase the technology searches for the main rival platform owner, likely in order to hedge the risk of being exclusively tied to the former. We further find that the rival platform owner also increases searches for the technology of the platform participant in order to neutralise potential competitive threats from the focal alliance. In doing so, this study cross-pollinates the separate research streams of platform ecosystems and alliances in order to examine the competitive interplays between platform player and the resulting technological evolution in a platform ecosystem.

The use of three-dimensional technologies in the development of oral solid dosage forms

Aim. To analyze the scientific literature data on the use of three-dimensional technologies in pharmacy, in particular in the technology of oral solid dosage forms, the advantages and disadvantages of 3D printing, and current research on the development of drugs using 3D printing. Materials and methods. To achieve this goal, bibliosemantic and analytical methods were used. Results and discussion. Personalized medicine is currently a major area of development in the healthcare sector. Its goal is to adapt treatment to a specific person, taking into account the peculiarities of the physiology, drug reactions, and the genetic profile. There are technologies that contribute to the paradigm shift from the traditional “one-size-fits-all”approach to personalized medicine, the main one being three-dimensional (3D) printing. 3D printing involves the creation of a three-dimensional object using various computer programs. 3D printing can be used to create a wide range of dosage forms that differ in shape, release profile, and drug combination. The main 3D printing technology platforms under study in the pharmaceutical sector include inkjet printing, binder inkjet printing, fused filament manufacturing, selective laser sintering, stereolithography, and injection microsyringing. Conclusions. The article discusses various 3D printing technologies and the prospects for their application in research on the development of new medicines, in particular oral solid dosage forms, and highlights their advantages and disadvantages.

Legitimacy of the OSCE in light of the Russia-Ukraine War

The present work with the classic examples on the surface of regularity evidently illustrates a dangerous situation of the Organization for Security and Cooperation in Europe (OSCE) in the light of the 2022-23 Russia-Ukraine war. Serious questions concerning the legitimacy of the OSCE in the 21st century have been raised by the 2008 Russia-Georgia war when Russia used military force outside its borders for the first time after the collapse of the Soviet Union against another OSCE participating state. In 2022-23, a large-scale confrontation between the two participating states in the half-century history of the OSCE is taking place which makes the future of the OSCE obscure. The conclusions drawn as a result of the research are based upon the review of the latest research works on the basis of the well-known European research centers. The scientific quest of the problem reveals that after the end of the Russia-Ukraine war the OSCE will serve as one of the main platforms for Western-Eastern negotiations which, in turn, would preserve the organization's legitimacy.

Divergence Observation in a Mesoscale Eddy during Chla Bloom Revealed in Submesoscale Satellite Currents

Oceanic mesoscale eddies continuously regulate the horizontal and vertical transport of mass, heat, salt, carbon, and nutrients throughout the ocean system owing to their ubiquity, three-dimensionality, and long-term persistence. Although satellites have been the main platforms used to observe mesoscale eddies and chlorophyll-a (Chla) distributions, they cannot support submesoscale physical–biological interactions. Contemporary satellite observations of Eulerian velocity fields are unable to resolve submesoscale processes that govern vertical migration and mixing, which are crucial for controlling the nutrients and light for phytoplankton in the surface layer. We explored the physical–biological interaction between the anticyclonic mesoscale eddy and the Chla secondary bloom that occurred after the spring bloom in the East/Japan Sea using the Geostationary Ocean Color Imager (GOCI). The GOCI currents were generated using GOCI Chla data and were used to map streamlines, vorticity, and divergence to characterize the surface current near the eddy. In the early spring bloom period, the eddy interior showed Chla depletion as the eddy was trapped externally. We found that the second bloom period coincided with a higher divergence or upwelling period in the eddy core, and a sharp Chla peak was observed when wind-induced Ekman suction was pronounced. This study describes the first satellite observation of surface layer divergence inside an anticyclonic mesoscale eddy with internal Chla blooms, utilizing a submesoscale-permitting GOCI-based surface current.

Internet of Medical Things Privacy and Security: Challenges, Solutions, and Future Trends from a New Perspective

The Internet of Medical Things (IoMT), an application of the Internet of Things (IoT) in the medical domain, allows data to be transmitted across communication networks. In particular, IoMT can help improve the quality of life of citizens and older people by monitoring and managing the body’s vital signs, including blood pressure, temperature, heart rate, and others. Since IoMT has become the main platform for information exchange and making high-level decisions, it is necessary to guarantee its reliability and security. The growth of IoMT in recent decades has attracted the interest of many experts. This study provides an in-depth analysis of IoT and IoMT by focusing on security concerns from different points of view, making this comprehensive survey unique compared to other existing studies. A total of 187 articles from 2010 to 2022 are collected and categorized according to the type of applications, year of publications, variety of applications, and other novel perspectives. We compare the current studies based on the above criteria and provide a comprehensive analysis to pave the way for researchers working in this area. In addition, we highlight the trends and future work. We have found that blockchain, as a key technology, has solved many problems of security, authentication, and maintenance of IoT systems due to the decentralized nature of the blockchain. In the current study, this technology is examined from the application fields’ points of view, especially in the health sector, due to its additional importance compared to other fields.

A TinyML Deep Learning Approach for Indoor Tracking of Assets.

Positioning systems have gained paramount importance for many different productive sector; however, traditional systems such as Global Positioning System (GPS) have failed to offer accurate and scalable solutions for indoor positioning requirements. Nowadays, alternative solutions such as fingerprinting allow the recognition of the characteristic signature of a location based on RF signal acquisition. In this work, a machine learning (ML) approach has been considered in order to classify the RSSI information acquired by multiple scanning stations from TAG broadcasting messages. TinyML has been considered for this project, as it is a rapidly growing technological paradigm that aims to assist the design and implementation of ML mechanisms in resource-constrained embedded devices. Hence, this paper presents the design, implementation, and deployment of embedded devices capable of communicating and sending information to a central system that determines the location of objects in a defined environment. A neural network (deep learning) is trained and deployed on the edge, allowing the multiple external error factors that affect the accuracy of traditional position estimation algorithms to be considered. Edge Impulse is selected as the main platform for data standardization, pre-processing, model training, evaluation, and deployment. The final deployed system is capable of classifying real data from the installed TAGs, achieving a classification accuracy of 88%, which can be increased to 94% when a post-processing stage is implemented.

‘Cam Girls and Adult Performers Are Enjoying a Boom in Business’: The Reportage on the Pandemic Impact on Virtual Sex Work

Introduction: Webcamming as a digital practice has increased in popularity over the last decade. With the outbreak COVID-19 and lockdowns across the globe, cam sites experienced an upsurge in both performers and viewers, and the main platform OnlyFans, increased its market share and saturation. The objective of this study was to explore the perceived impact of the COVID-19 pandemic, and subsequent economic hardship, on indirect and digitally mediated sex work. In doing so, it also explored the mediatisation of the creators of erotic content and their marketing on OnlyFans. Method: Data was collected from news media outlets on the effects of the outbreak of the virus on the online sex industry. Mainstream media news articles (N = 40) were drawn from 19 different sources that discussed changes occurring in the digitally mediated sex market during the COVID-19 pandemic. The data was drawn from across the political spectrum and type of media source to include broadsheet, tabloid, and regional news as well as broadcast media. The dataset was divided into two and independently analysed by two different researchers analysing 20 sources each. Analysis was conducted using Grounded Theory, an inductive approach frequently used due to aid concept development, as the aim was to develop theory on the mediatisation of the experiences and process of virtual sex work without drawing on sex workers’ own resources at a time crucial to their income. Results: The findings revealed reportage of increased engagement in digital sex work in three areas: expansion of the online sex service sites; new digital sex workers joining the industry; and those who provided online sex services prior to the pandemic. A continuum of experiences emerged and the results show how online sex workers reportedly monetised the loneliness of clients and how new fetishes such as illness and Covid fetishes emerged. Conclusions: Given the remarkable success of adult websites amid the pandemic, this research provides new evidence on the reportage of the use of cam sites, and OnlyFans in particular. The findings provides new data on how digital sex workers’ experiences were represented during the pandemic and reveal a nuanced picture behind the upsurge in online work. News media outlets are crucial in the social construction of online sex work and have the power to affect peoples’ perception of this work. Additionally, press articles can provide a space where sex workers’ voices can be heard. It is therefore a key area to examine in relation to the public opinion of sex work, which in turn affects public policy, and its decriminalisation and eventual destigmatisation. These findings add to our understanding of erotic services and contribute to the growing literature on the mediatization of sex work. The study contributes new knowledge to the topic although further investigation is needed to achieve potential mainstreaming and destigmatisation for digital sex workers.

Fragmentation, rafting, and drowning of a carbonate platform margin in a rift-basin setting

AbstractHigh-resolution bathymetric and shallow seismic data along the northeast Red Sea margin reveal a previously disregarded mechanism for carbonate platform drowning at a steep-flanked rift basin. At the seafloor, salt extrusions highlight the influence of extensional salt tectonics, with a salt flow from the southern flank of the Al Wajh carbonate platform that likely originates from below. Salt-flow direction, morphology, and kilometer-sized slumps and rotated blocks indicate platform-margin disintegration and rafting of platform blocks toward the southwest. The outlines of several smaller detached or semi-detached carbonate platforms to the south of the main platform can be refitted to the larger platform margin by counter-moving the direction of mass wasting. Several platforms, reaching heights above the seafloor of up to 650 m, are partially or fully submerged in the mesophotic zone and appear to be in danger of drowning. We conclude that the southern outer rim of the Al Wajh platform is breaking apart owing to salt withdrawal, which indicates that carbonate platforms on top of salt sequences grow on mobile ground, leading to platform disintegration, basinward rafts, and the demise of broken-off, smaller pieces of platform. Salt displacement also controls the growth geometries of individual platform rafts, with keep-up reef growth (growth rate equal to sea-level rise) and drowning occurring in close spatial proximity. Therefore, the interplay between salt diapirism and platform growth is not limited to platforms growing on the apexes of diapirs and is more complex than previously thought.

The role of trust in tourists’ motivation to participate in co-creation

Diseño/metodología/enfoqueSe aplica una metodología cuantitativa para analizar las percepciones de un nuevo concepto, intención de volver a participar en la co-creación (Intention to Re-participate in Co-Creation, IRCC). Se recogieron un total de 305 cuestionarios válidos, en el período comprendido entre el 10 y 30 de octubre de 2020 en Estambul, y se analizaron con un modelo de ecuaciones estructurales basado en la covarianza (CB-SEM) utilizando el software LISREL.ObjetivoLa intención de volver a participar en la cocreación (IRCC) es un indicador esencial de los clientes para su propensión al trato. Por tanto, la finalidad de este estudio es centrarse en el papel de la confianza en la relación entre la motivación de los turistas para las actividades de IRCC y los resultados percibidos del servicio en la investigación en turismoConclusionesLos resultados del estudio mostraron que el IRCC de los turistas se agrupa en cuatro factores: (i) beneficio del aprendizaje, (ii) beneficio de la interacción social, (iii) beneficio hedónico y (iv) beneficio financiero. En el contexto del IRCC, la confianza organizativa media parcialmente en la relación entre la intención del turista y la motivación de propensión al trato para el IRCC.Limitaciones/implicaciones de la investigaciónEl alcance de la investigación se limitó a los turistas nacionales que visitan Estambul. Es necesario investigar a los turistas que visitan otros destinos y que difieren en cuanto a sus características culturales para realizar evaluaciones a mayor escala. Además, al considerar que la cocreación es la consecuencia de la colaboración entre la empresa y los clientes, el análisis de las iniciativas de las empresas basadas en la promoción de la participación en la co-creación supondrá una contribución tanto para los gestores como para la literatura para formalizar el proceso de co-creación. Además, las redes sociales son una de las principales plataformas en las que los turistas están motivados para participar en co-creación de valor (MPCC), pero los turistas pueden tanto crear como destruir valor en los medios sociales en relación con las empresas y la experiencia turística. En este sentido, futuras investigaciones, deberían analizar los elementos de motivación de los turistas que les impulsan a co-crear y co-destruir valor en las redes sociales, contribuyendo a la comprensión y evaluación del proceso de co-creación en todos sus aspectos.Implicaciones prácticasA diferencia de las investigaciones anteriores, el estudio ofrece un modelo que integra los antecedentes y las consecuencias del proceso del IRCC. En esta percepción, el conocimiento de los factores de motivación de los turistas hacia las actividades de IRCC proporciona una vía para que las empresas turísticas gestionen estratégicamente sus actividades. Este estudio se centra en el papel de la confianza organizativa en el efecto de la re-participación.Originalidad/valorEl IRCC es un tema que debe ser evaluado con sus antecedentes y resultados. En la literatura, varios estudios evalúan los resultados de la cocreación, pero la investigación sobre los antecedentes que promueven el IRCC es limitada. En este estudio se evalúan conjuntamente los antecedentes (motivación para volver a participar) y los resultados de la cocreación (confianza y beneficio percibido).

Behavioral and Pharmacokinetics Studies of N-Methyl-2-Aminoindane (NM2AI) in Mice: An Aminoindane Briefly Used in the Illicit Drug Market.

Drug forums are considered as the main platform sources that have contributed to the increase in NPS popularity, especially for those not yet known to law enforcement and therefore not yet illegal. An example is the new synthetic stimulant NM2AI, which has a very short history of human use and abuse. Little is known regarding this compound, but some information from internet forums and the scientific literature indicates NM2AI as a structural derivate of MDAI, which is known for its entactogenic activity. Indeed, the purpose of this study is to evaluate, for the first time, the in vivo acute effect induced by the intraperitoneal injection of NM2AI (1-10-30-100 mg/kg) in mice. We demonstrate the sensory (by visual placing and object tests) and physiological (core temperature measurement) function variations, nociceptor (by tail pinch test) and strength (grip test) alterations, and sensorimotor (time on rod and mobility) decrease. Moreover, we verify the mild hallucinogenic effect of NM2AI (by startle/prepulse inhibition test). Lastly, we perform a pharmacokinetic study on mice blood samples, highlighting that the main active metabolite of NM2AI is 2-aminoindane (2AI). Taken together, our data confirm the suspected entactogenic activity of NM2AI; however, these in vivo effects appear atypical and less intense with respect to those induced by the classic stimulants, in surprising analogy with what is reported by networked users.

Market efficiency assessment for multiple exchanges of cryptocurrencies

PurposeThis study aims to analyze the efficient market hypothesis (EMH) of cryptocurrencies on multiple platforms by observing whether there is a discrepancy in the levels of efficiency between different exchanges. Additionally, EMH is tested in a multivariate way: whether the prices of the same cryptocurrencies traded on different exchanges are temporally related to each other. ADF and KPSS tests, whereas the vector autoregression model of order p – VAR(p) – for multivariate system.FindingsBoth Bitcoin and Ethereum show efficiency in the weak form on the main platforms in each market alone. However, when estimating a VAR(p) between prices among exchanges, there was evidence of Granger causality between cryptocurrencies in all exchanges, suggesting that EMH is not adequate due to cross information.Practical implicationsIt is essential to assess the cryptocurrency market in a multivariate way, not only to favor its maturation process, but also to promote a broad understanding of its inherent risks. Thus, it will be possible to develop financial products that are actively managed in a more sophisticated cryptocurrency market.Social implicationsThere is a possibility of performing arbitrage on different exchanges and market assets through cross-exchanges. Thus, emphasizing the need for regulation of exchanges in the digital asset market, as an eventual price manipulation on a single platform can impact others, which generates various distortions.Originality/valueThis study is the first to find evidence of cross-information for the same (and other) cryptocurrencies among different exchanges.