23 research outputs found
Malicious RIS versus Massive MIMO: Securing Multiple Access against RIS-based Jamming Attacks
In this letter, we study an attack that leverages a reconfigurable
intelligent surface (RIS) to induce harmful interference toward multiple users
in massive multiple-input multiple-output (mMIMO) systems during the data
transmission phase. We propose an efficient and flexible weighted-sum projected
gradient-based algorithm for the attacker to optimize the RIS reflection
coefficients without knowing legitimate user channels. To counter such a
threat, we propose two reception strategies. Simulation results demonstrate
that our malicious algorithm outperforms baseline strategies while offering
adaptability for targeting specific users. At the same time, our results show
that our mitigation strategies are effective even if only an imperfect estimate
of the cascade RIS channel is available
Dual-Polarized Massive MIMO-RSMA Networks: Tackling Imperfect SIC
The polarization domain provides an extra degree of freedom (DoF) for
improving the performance of multiple-input multiple-output (MIMO) systems.
This paper takes advantage of this additional DoF to alleviate practical issues
of successive interference cancellation (SIC) in rate-splitting multiple access
(RSMA) schemes. Specifically, we propose three dual-polarized downlink
transmission approaches for a massive MIMO-RSMA network under the effects of
polarization interference and residual errors of imperfect SIC. The first
approach implements polarization multiplexing for transmitting the users' data
messages, which removes the need to execute SIC in the reception. The second
approach transmits replicas of users' messages in the two polarizations, which
enables users to exploit diversity through the polarization domain. The third
approach, in its turn, employs the original SIC-based RSMA technique per
polarization, and this allows the BS to transmit two independent superimposed
data streams simultaneously. An in-depth theoretical analysis is carried out,
in which we derive tight closed-form approximations for the outage
probabilities of the three proposed approaches. Accurate approximations for the
ergodic sum-rates of the two first schemes are also derived. Simulation results
validate the theoretical analysis and confirm the effectiveness of the proposed
schemes. For instance, under low to moderate cross-polar interference, the
results show that, even under high levels of residual SIC error, our
dual-polarized MIMO-RSMA strategies outperform the conventional
single-polarized MIMO-RSMA counterpart. It is also shown that the performance
of all RSMA schemes is impressively higher than that of single and
dual-polarized massive MIMO systems employing non-orthogonal multiple access
(NOMA) and orthogonal multiple access (OMA) techniques
Efeitos do exercício físico na prevenção do diabetes gestacional: uma revisão integrativa
Introdução: O diabetes mellitus gestacional (DMG) é estado metabólico de hiperglicemia com início ou diagnóstico durante o período gestacional, tendo como fatores desencadeantes: histórico familiar, idade, IMC, sedentarismo e hipertensão. Exercícios físicos são pilares para prevenção e tratamento de diabetes nas populações em geral, entretanto, há uma relutância em relação à prática de atividade física nesse grupo específico devido ao senso comum que afirma que grávidas devem manter-se em repouso durante todo o período gestacional. Objetivo: Analisar as evidências científicas acerca dos benefícios da prática regular de exercícios físicos no prognóstico do diabetes gestacional. Material e Método: Foi realizada uma revisão integrativa de 17 artigos obtidos nas plataformas de indexação Scielo, PubMed, LILACS e Google Acadêmico, com os seguintes descritores: atividade física, exercício físico, gestação, diabetes gestacional e seus termos correspondentes em inglês. Foram incluídos 17 artigos, publicados entre 2016 e 2019, que realizaram ensaio clínico randomizado com duração no mínimo de três semanas. Foram excluídos os artigos sem metodologia clara e as revisões de literaturas. Resultados: O período gestacional é um evento na vida da mulher marcado por uma sequência de alterações tanto fisiológicas, quanto anatômicas, suscitando, inclusive em alterações no metabolismo da gestante, que podem determinar o surgimento de um possível DMG. Nesse contexto, a prática de atividade física se torna primordial por promover uma sensação de bem-estar, reduzir o ganho de peso e de adiposidade fetal, melhorar o controle glicêmico e diminuir problemas durante o parto. Estudos mostram que exercícios leves a moderados por dia durante 30 minutos ou mais, ou um programa de caminhada vigorosa associada a uma dieta alimentar restrita promovem a diminuição dos riscos de mulheres desenvolverem DMG. Os exercícios físicos podem auxiliar no controle glicêmico, na redução do peso, além de prevenir o sobrepeso e obesidade, gerar bem-estar e diminuir os níveis de fator de necrose tumoral α (TNF-α). A explicação para a melhora no perfil glicêmico é que a prática de exercícios físicos aumenta a sensibilidade periférica à insulina, pois eleva a expressão e sinalização dos substratos do receptor de insulina 1 (IRS-1) e 2 (IRS-2). Também decorre da prática de exercício o aumento da captação de glicose pela enzima AMPK, que são responsáveis pela translocação de transportador de glicose 4 (GLUT-4) para a membrana. Não existe um consenso sobre qual tipo de exercício é o mais indicado para controle da glicemia, podendo variar entre aeróbio e resistido. Conclusão: Os exercícios físicos na gravidez têm benefícios potenciais e, se bem orientados, proporcionam uma melhora na qualidade de vida durante a gestação, portanto, é recomendado que mulheres, sem contraindicações, sejam fisicamente ativas durante a gravidez. Embora seja uma medida eficaz, não é a única medida necessária, logo para o melhor manejo e prevenção de possíveis complicações durante o período gestacional, as mulheres devem seguir orientações nutricionais específicas de profissionais especialistas, além de seguir um programa de pré-natal
Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications
This paper presents the first comprehensive tutorial on a promising research field located at the frontier of two well-established domains, neurosciences and wireless communications, motivated by the ongoing efforts to define the Sixth Generation of Mobile Networks (6G). In particular, this tutorial first provides a novel integrative approach that bridges the gap between these two seemingly disparate fields. Then, we present the state-of-the-art and key challenges of these two topics. In particular, we propose a novel systematization that divides the contributions into two groups, one focused on what neurosciences will offer to future wireless technologies in terms of new applications and systems architecture (Neurosciences for Wireless Networks), and the other on how wireless communication theory and next-generation wireless systems can provide new ways to study the brain (Wireless Networks for Neurosciences). For the first group, we explain concretely how current scientific understanding of the brain would enable new applications within the context of a new type of service that we dub brain-type communications and that has more stringent requirements than human- and machine-type communication. In this regard, we expose the key requirements of brain-type communication services and discuss how future wireless networks can be equipped to deal with such services. Meanwhile, for the second group, we thoroughly explore modern communication systems paradigms, including Internet of Bio-Nano Things and wireless-integrated brain-machine interfaces, in addition to highlighting how complex systems tools can help bridging the upcoming advances of wireless technologies and applications of neurosciences. Brain-controlled vehicles are then presented as our case study to demonstrate for both groups the potential created by the convergence of neurosciences and wireless communications, probably in 6G. In summary, this tutorial is expected to provide a largely missing articulation between neurosciences and wireless communications while delineating concrete ways to move forward in such an interdisciplinary endeavor
AI is a viable alternative to high throughput screening: a 318-target study
: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery
Pooled analysis of WHO Surgical Safety Checklist use and mortality after emergency laparotomy
Background The World Health Organization (WHO) Surgical Safety Checklist has fostered safe practice for 10 years, yet its place in emergency surgery has not been assessed on a global scale. The aim of this study was to evaluate reported checklist use in emergency settings and examine the relationship with perioperative mortality in patients who had emergency laparotomy. Methods In two multinational cohort studies, adults undergoing emergency laparotomy were compared with those having elective gastrointestinal surgery. Relationships between reported checklist use and mortality were determined using multivariable logistic regression and bootstrapped simulation. Results Of 12 296 patients included from 76 countries, 4843 underwent emergency laparotomy. After adjusting for patient and disease factors, checklist use before emergency laparotomy was more common in countries with a high Human Development Index (HDI) (2455 of 2741, 89.6 per cent) compared with that in countries with a middle (753 of 1242, 60.6 per cent; odds ratio (OR) 0.17, 95 per cent c.i. 0.14 to 0.21, P <0001) or low (363 of 860, 422 per cent; OR 008, 007 to 010, P <0.001) HDI. Checklist use was less common in elective surgery than for emergency laparotomy in high-HDI countries (risk difference -94 (95 per cent c.i. -11.9 to -6.9) per cent; P <0001), but the relationship was reversed in low-HDI countries (+121 (+7.0 to +173) per cent; P <0001). In multivariable models, checklist use was associated with a lower 30-day perioperative mortality (OR 0.60, 0.50 to 073; P <0.001). The greatest absolute benefit was seen for emergency surgery in low- and middle-HDI countries. Conclusion Checklist use in emergency laparotomy was associated with a significantly lower perioperative mortality rate. Checklist use in low-HDI countries was half that in high-HDI countries.Peer reviewe
Global variation in anastomosis and end colostomy formation following left-sided colorectal resection
Background
End colostomy rates following colorectal resection vary across institutions in high-income settings, being influenced by patient, disease, surgeon and system factors. This study aimed to assess global variation in end colostomy rates after left-sided colorectal resection.
Methods
This study comprised an analysis of GlobalSurg-1 and -2 international, prospective, observational cohort studies (2014, 2016), including consecutive adult patients undergoing elective or emergency left-sided colorectal resection within discrete 2-week windows. Countries were grouped into high-, middle- and low-income tertiles according to the United Nations Human Development Index (HDI). Factors associated with colostomy formation versus primary anastomosis were explored using a multilevel, multivariable logistic regression model.
Results
In total, 1635 patients from 242 hospitals in 57 countries undergoing left-sided colorectal resection were included: 113 (6·9 per cent) from low-HDI, 254 (15·5 per cent) from middle-HDI and 1268 (77·6 per cent) from high-HDI countries. There was a higher proportion of patients with perforated disease (57·5, 40·9 and 35·4 per cent; P < 0·001) and subsequent use of end colostomy (52·2, 24·8 and 18·9 per cent; P < 0·001) in low- compared with middle- and high-HDI settings. The association with colostomy use in low-HDI settings persisted (odds ratio (OR) 3·20, 95 per cent c.i. 1·35 to 7·57; P = 0·008) after risk adjustment for malignant disease (OR 2·34, 1·65 to 3·32; P < 0·001), emergency surgery (OR 4·08, 2·73 to 6·10; P < 0·001), time to operation at least 48 h (OR 1·99, 1·28 to 3·09; P = 0·002) and disease perforation (OR 4·00, 2·81 to 5·69; P < 0·001).
Conclusion
Global differences existed in the proportion of patients receiving end stomas after left-sided colorectal resection based on income, which went beyond case mix alone
Entre Descartes, Kant e Cotard a construção do Délire des négations / Between Descartes, Kant and Cotard the construction of the Délire des négations
A Síndrome de Cotard, é caracterizada por delírios autodepreciativos, envolvendo a negação da própria existência por parte dos pacientes. Mesmo sendo uma condição pouco abordada e compreendida no meio médico, seu reconhecimento é de fundamental importância para o entendimento e melhor abordagem daqueles que à possuem. Este tabalho de revisão tem como objetivo reunir e sintetizar informações acerca da Síndrome e suas principais implicações para os pacientes
Fundamentals, Potential Achievements, and Challenges
Non-orthogonal multiple access (NOMA) technique and unmanned aerial vehicles (UAVs) have been recognized as promising technologies for enabling the stringent requirements of the different network infrastructures expected for the next generation of wireless networks. In parallel, intelligent reconfigurable surfaces (IRSs) have been widely pointed out as an auspicious solution to further improve spectral efficiency, coverage range, and connectivity. By integrating IRS with UAV and NOMA schemes with multiple-input multiple-output (MIMO) it is possible to smartly improve the overall network performance. In order to explore some of these potentials, this paper provides a comprehensive discussion about the interplay of aerial IRS in MIMO-NOMA (AIRS-NOMA) networks, as well its architecture, functionality principles, and performance gains. In particular, attractive gains related to the data rate maximization, user fairness, energy efficiency, and coverage range are highlighted. Simulation results are provided to support our insightful discussions, in which it is revealed that the performance gains of AIRSNOMA networks are superior when compared to terrestrial deployment. In addition, to guide new studies perspectives, it is addressed some issues and research opportunities associated with this potential integration.publishersversionpublishe
Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond
This article surveys emerging technologies related to pervasive edge computing (PEC) for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks. PEC encompasses all devices that are capable of performing computational tasks locally, including those at the edge of the core network (edge servers co-located with 5G base stations) and in the radio access network (sensors, actuators, etc.). The main advantages of this paradigm are core network offloading (and benefits therefrom) and low latency for delay-sensitive applications (e.g., automatic control). We have reviewed the state-of-the-art in the PEC paradigm and its applications to the IIoT domain, which have been enabled by the recent developments in 5G technology. We have classified and described three important research areas related to PEC—distributed artificial intelligence methods, energy efficiency, and cyber security. We have also identified the main open challenges that must be solved to have a scalable PEC-based IIoT network that operates efficiently under different conditions. By explaining the applications, challenges, and opportunities, our paper reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks, considering the modern trend toward private industrial 5G networks with local operations and flexible management