Industrial Internet of Things over 5G: A Practical Implementation.

The next generation of mobile broadband communication, 5G, is seen as a driver for the industrial Internet of things (IIoT). The expected 5G-increased performance spanning across different indicators, flexibility to tailor the network to the needs of specific use cases, and the inherent security that offers guarantees both in terms of performance and data isolation have triggered the emergence of the concept of public network integrated non-public network (PNI-NPN) 5G networks. These networks might be a flexible alternative for the well-known (albeit mostly proprietary) Ethernet wired connections and protocols commonly used in the industry setting.

Planning and Optimization of Software-Defined and Virtualized IoT Gateway Deployment for Smart Campuses.

The Internet of Things (IoT) is based on objects or "things" that have the ability to communicate and transfer data. Due to the large number of connected objects and devices, there has been a rapid growth in the amount of data that are transferred over the Internet. To support this increase, the heterogeneity of devices and their geographical distributions, there is a need for IoT gateways that can cope with this demand.

Resolving the fine structure in the energy landscapes of repeat proteins.

Ankyrin (ANK) repeat proteins are coded by tandem occurrences of patterns with around 33 amino acids. They often mediate protein-protein interactions in a diversity of biological systems. These proteins have an elongated non-globular shape and often display complex folding mechanisms.

Examining the Ensembles of Amyloid-β Monomer Variants and Their Propensities to Form Fibers Using an Energy Landscape Visualization Method.

The amyloid-β (Aβ) monomer, an intrinsically disordered peptide, is produced by the cleavage of the amyloid precursor protein, leading to Aβ-40 and Aβ-42 as major products. These two isoforms generate pathological aggregates, whose accumulation correlates with Alzheimer's disease (AD). Experiments have shown that even though the natural abundance of Aβ-42 is smaller than that for Aβ-40, the Aβ-42 is more aggregation-prone compared to Aβ-40.

Flight Planning Optimization of Multiple UAVs for Internet of Things.

This article presents an approach to autonomous flight planning of Unmanned Aerial Vehicles (UAVs)-Drones as data collectors to the Internet of Things (IoT). We have proposed a model for only one aircraft, as well as for multiple ones. A clustering technique that extends the scope of the number of IoT devices (e.

SMOG 2 and OpenSMOG: Extending the limits of structure-based models.

Applying simulations with structure-based models has proven to be an effective strategy for investigating the factors that control biomolecular dynamics. The common element of these models is that some (or all) of the intra/inter-molecular interactions are explicitly defined to stabilize an experimentally determined structure. To facilitate the development and application of this broad class of models, we previously released the SMOG 2 software package.

TIP4.0: Industrial Internet of Things Platform for Predictive Maintenance.

Industry 4.0, allied with the growth and democratization of Artificial Intelligence (AI) and the advent of IoT, is paving the way for the complete digitization and automation of industrial processes. Maintenance is one of these processes, where the introduction of a predictive approach, as opposed to the traditional techniques, is expected to considerably improve the industry maintenance strategies with gains such as reduced downtime, improved equipment effectiveness, lower maintenance costs, increased return on assets, risk mitigation, and, ultimately, profitable growth.

A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring.

The environment consists of the interaction between the physical, biotic, and anthropic means. As this interaction is dynamic, environmental characteristics tend to change naturally over time, requiring continuous monitoring. In this scenario, the internet of things (IoT), together with traditional sensor networks, allows for the monitoring of various environmental aspects such as air, water, atmospheric, and soil conditions, and sending data to different users and remote applications.

Computational study on the allosteric mechanism of IF4E-1 by 4E-interacting protein-1: Unravelling the determinants of mGTP cap recognition.

During their life cycle, parasites display a fine-tuned regulation of the mRNA translation through the differential expression of isoforms of eukaryotic translation initiation factor 4E (LeishIF4Es). The interaction between allosteric modulators such as 4E-interacting proteins (4E-IPs) and LeishIF4E affects the affinity of this initiation factor for the mRNA cap. Here, several computational approaches were employed to elucidate the molecular bases of the previously-reported allosteric modulation in exerted by 4E-IP1 (Lm4E-IP1) on eukaryotic translation initiation factor 4E 1 (LmIF4E-1).

IoT Sensing Platform as a Driver for Digital Farming in Rural Africa.

Small-scale farming can benefit from the usage of information and communication technology (ICT) to improve crop and soil management and increase yield. However, in order to introduce digital farming in rural areas, related ICT solutions must be viable, seamless and easy to use, since most farmers are not acquainted with technology. With that in mind, this paper proposes an Internet of Things (IoT) sensing platform that provides information on the state of the soil and surrounding environment in terms of pH, moisture, texture, colour, air temperature, and light.

DYNASTI-Dynamic Multiple RPL Instances for Multiple IoT Applications in Smart City.

Internet of Things (IoT) is evolving to multi-application scenarios in smart cities, which demand specific traffic patterns and requirements. Multi-applications share resources from a single multi-hop wireless networks, where smart devices collaborate to send collected data over a Low-Power and Lossy Networks (LLNs). Routing Protocol for LLNs (RPL) emerged as a routing protocol to be used in IoT scenarios where the devices have limited resources.

pH and Charged Mutations Modulate Cold Shock Protein Folding and Stability: A Constant pH Monte Carlo Study.

The folding and stability of proteins is a fundamental problem in several research fields. In the present paper, we have used different computational approaches to study the effects caused by changes in pH and for charged mutations in cold shock proteins from (Bs-CspB). First, we have investigated the contribution of each ionizable residue for these proteins to their thermal stability using the TKSA-MC, a Web server for rational mutation via optimizing the protein charge interactions.

Distinguishing Biomolecular Pathways and Metastable States.

Protein folding occurs in a high dimensional phase space, and the representation of the associated energy landscape is nontrivial. A widely applied approach to studying folding landscapes is to describe the dynamics along a small number of reaction coordinates. However, other strategies involve more elaborate analysis of the complex phase space.

Are Complexity Metrics Reliable in Assessing HRV Control in Obese Patients During Sleep?

Obesity is associated with cardiovascular mortality. Linear methods, including time domain and frequency domain analysis, are normally applied on the heart rate variability (HRV) signal to investigate autonomic cardiovascular control, whose imbalance might promote cardiovascular disease in these patients. However, given the cardiac activity non-linearities, non-linear methods might provide better insight.

Visualization of protein folding funnels in lattice models.

Protein folding occurs in a very high dimensional phase space with an exponentially large number of states, and according to the energy landscape theory it exhibits a topology resembling a funnel. In this statistical approach, the folding mechanism is unveiled by describing the local minima in an effective one-dimensional representation. Other approaches based on potential energy landscapes address the hierarchical structure of local energy minima through disconnectivity graphs.

Levels of physical activity and predictors of mortality in COPD.

Objective: To compare the Body mass index, airway Obstruction, Dyspnea, and E xercise capacity (BODE) index scores and its individual components between COPD patients with and without severe physical inactivity, as well as to correlate the number of steps/day with scores of physical activity questionnaires, age, and the BODE index (including its components).

Methods: We included 30 patients, who were evaluated for body composition, pulmonary function (FEV1), perception of dyspnea (modified Medical Research Council scale), and exercise capacity (six-minute walk distance [6MWD]). The patients also completed the International Physical Activity Questionnaire (IPAQ), short version, and the modified Baecke questionnaire (mBQ).

Relationship between exercise capacity and quality of life in adolescents with asthma.

Objective: To determine whether the quality of life of adolescents with asthma correlates with parameters obtained prior to and after the six-minute step test (6MST); spirometric results after the 6MST; and level of physical activity.

Methods: Nineteen adolescents with asthma, ranging from 11-15 years of age, were assessed with spirometry, 6MST, the International Physical Activity Questionnaire (IPAQ), the Pediatric Asthma Quality of Life Questionnaire (PAQLQ), and the 10-point Borg category-ratio (CR10) scale.

Results: Sensation of dyspnea correlated negatively with the total PAQLQ score (r = -0.

Study of peripheral muscle strength and severity indexes in individuals with chronic obstructive pulmonary disease.

Background And Purpose: Individuals with chronic obstructive pulmonary disease (COPD) present reduced peripheral muscle strength, which leads to impaired mobility and increased mortality risk. However, it is not clear whether there is any relationship between muscle strength, muscle mass and the body mass index, airflow obstruction, dyspnea, exercise performance (BODE) index scale, which is considered to be the best predictor of survival for individuals with COPD. The BODE Index is a multidimensional system that measures body composition (B), airway obstruction (O), dyspnea perception (D) and the ability to exercise (E), and rates the severity of the major changes found in individuals with COPD.

Management of prolactinomas in Brazil: an electronic survey.

Dopamine agonists are the treatment of choice for prolactinomas. However, there are still controversies concerning dose, treatment duration and criteria for drug withdrawal in different clinical situations. The aim of this study was to assess diagnostic and therapeutic approaches to prolactinomas among members of the Brazilian Society of Endocrinology and Metabolism (SBEM).

High-sensitivity C-reactive protein levels in HIV-infected patients treated or not with antiretroviral drugs and their correlation with factors related to cardiovascular risk and HIV infection.

Aims: To compare high-sensitivity C-reactive protein (hsCRP) in HIV-infected patients treated or not with antiretroviral (ARV) drugs and to correlate hsCRP levels with traditional cardiovascular risk factors and parameters of HIV infection.

Methods: One hundred and seventy-one HIV-infected patients were included (129 ARV-treated and 42 ARV-naïve). Evaluations included anthropometric measurements, blood pressure, laboratory tests, ultrasonographic measurement of fat thickness and impedance analysis.

[Cutaneous non-Langerhans cells histiocytoses as cause of central diabetes insipidus].

The histiocytoses are rare diseases caused by alterations in the monocyte-histiocytic series with several clinical findings. Among the cutaneous syndromes of non-Langerhans cells, xanthoma disseminatum is the only disease of this group that has been classically associated to the central diabetes insipidus (CDI). The case reported describes a 30-year-old man that two years after presenting with CDI developed non confluent disseminated cutaneous brown papular lesions throughout the body.

Ultrasonographic measurement of intra-abdominal fat thickness in HIV-infected patients treated or not with antiretroviral drugs and its correlation to lipid and glycemic profiles.

Aims: To compare the intra-abdominal fat thickness measured by ultrasound between HIV-infected patients treated or not with antiretroviral drugs and to correlate these visceral adiposity measurements to other parameters of cardiovascular risks.

Methods: In a transversal observational study, 160 HIV-infected patients were recruited and divided in two groups, i.e.

Gestational diabetes: a condition of early diastolic abnormalities in young women.

Background: Gestational diabetes mellitus (GDM) is not merely a temporary condition, but a harbinger of type 2 diabetes mellitus, hypertension, and atherosclerotic disease. We examined the effect of GDM on cardiac diastolic function.

Methods: Diastolic function was evaluated by serial Doppler echocardiography with pulsed tissue Doppler imaging in 13 patients with GDM and 13 healthy pregnant women (control group) during the third trimester of pregnancy and after 8 weeks postpartum.

Acute metabolic effects of thiopental anesthesia on fed and fasted rats chronically treated with bromocriptine.

We investigated the acute effects of thiopental anesthesia (4 mg/100 g, i.v.) on plasma glucose, insulin, triacylglycerol, and prolactin levels in rats treated with bromocriptine (BR) (0.