Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence

Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics control and military surveillance. This is driven by the easier access to sensory data and the enormous scale of pervasive/ubiquitous devices that generate zettabytes of real-time data streams. Designing accurate models using such data streams, to revolutionize the decision-taking process, inaugurates pervasive computing as a worthy paradigm for a better quality-of-life (e.g., smart homes and self-driving cars.). The confluence of pervasive computing and artificial intelligence, namely Pervasive AI, expanded the role of ubiquitous IoT systems from mainly data collection to executing distributed computations with a promising alternative to centralized learning, presenting various challenges, including privacy and latency requirements. In this context, an intelligent resource scheduling should be envisaged among IoT devices (e.g., smartphones, smart vehicles) and infrastructure (e.g., edge nodes and base stations) to avoid communication and computation overheads and ensure maximum performance. In this paper, we conduct a comprehensive survey of the recent techniques and strategies developed to overcome these resource challenges in pervasive AI systems. Specifically, we first present an overview of the pervasive computing, its architecture, and its intersection with artificial intelligence. We then review the background, applications and performance metrics of AI, particularly Deep Learning (DL) and reinforcement learning, running in a ubiquitous system. Next, we provide a deep literature review of communication-efficient techniques, from both algorithmic and system perspectives, of distributed training and inference across the combination of IoT devices, edge devices and cloud servers. Finally, we discuss our future vision and research challenges

2-Methyl-6-(4-aminophenyl)-4,5-dihydro-3(2H)-pyridazinone Synthon for Some New Annelated 1,2,3-Selena/Thiadiazoles and 2H-Diazaphospholes with Anticipated Biological Activity and Quantum Chemical Calculations

A convenient and efficient synthetic protocol for the new selenadiazole. Thiadiazole and diazaphosphole derivatives incorporating a pyridazine moiety originating from 4-(4-aminophenyl)-4-oxobutanoic acid (1) were described. All newly synthesized compounds were evaluated for their antimicrobial activity using the disk diffusion method, and their cytotoxicity was evaluated against brine shrimp lethality bioassay. Using density functional theory (DFT), the frontier molecular orbital (FMO) and molecular electrostatic potential (MEPS) were studied to estimate the chemical reactivity and kinetic stability of each structure. Therefore, global descriptor parameters like electronegativity (chi), chemical hardness (eta), and global softness (sigma) were calculated. Consequently, the attained results were compared with the experimental data of the biological activity of the studied structures

<I>Sinorhizobium meliloti</I> can protect <I>Medicago truncatula</I> against <I>Phoma medicaginis</I> attack

The Sinorhizobium meliloti microsymbiont of Medicago spp. was used in an antibiosis test against Phoma medicaginis and in bioprotection assays of Medicago truncatula JA17 from the pathogen. Among 17 S. meliloti strains isolated from root nodules of M. truncatula and Medicago laciniata grown in Tunisian soils, six showed up to 60% growth inhibition of five P. medicaginis strains isolated from infected field-grown M. truncatula. Two S. meliloti strains with differing in vitro effects on P. medicaginis, 10.16/R6 antagonist and 5M6 non antagonist, were used in a bioprotection assay of M. truncatula JA17 from the pathogen. The inoculation of P. medicaginis caused complete root and stem rotting, and the mortality of all treated plantlets. Inoculation of the antagonist S. meliloti strain 10.16/R6 to M. truncatula JA17 infected with P. medicaginis was associated with a significant 65% decrease of vegetative rotting length, an 80% decrease of plant mortality, an increase of root length, and enhancement of root and shoot biomass comparatively to control plantlets treated with P. medicaginis. The inoculation of the non antagonistic S. meliloti strain 5M6 slightly decreased disease and slightly increased plant growth parameters

Sinorhizobium meliloti can protect Medicago truncatula against Phoma medicaginis attack

The Sinorhizobium meliloti microsymbiont of Medicago spp. was used in an antibiosis test against Phoma medicaginis and in bioprotection assays of Medicago truncatula JA17 from the pathogen. Among 17 S. meliloti strains isolated from root nodules of M. truncatula and Medicago laciniata grown in Tunisian soils, six showed up to 60% growth inhibition of five P. medicaginis strains isolated from infected field-grown M. truncatula. Two S. meliloti strains with differing in vitro effects on P. medicaginis, 10.16/R6 antagonist and 5M6 non antagonist, were used in a bioprotection assay of M. truncatula JA17 from the pathogen. The inoculation of P. medicaginis caused complete root and stem rotting, and the mortality of all treated plantlets. Inoculation of the antagonist S. meliloti strain 10.16/R6 to M. truncatula JA17 infected with P. medicaginis was associated with a significant 65% decrease of vegetative rotting length, an 80% decrease of plant mortality, an increase of root length, and enhancement of root and shoot biomass comparatively to control plantlets treated with P. medicaginis. The inoculation of the non antagonistic S. meliloti strain 5M6 slightly decreased disease and slightly increased plant growth parameters

Bibliometric analysis of the evolution of biochar research trends and scientific production

International audienceBiochar has caught great attention over the last decade, yielding a large number of publications in a broad range of disciplines. This scientometric study produces a combined qualitative–quantitative assessment of 10,000 publications recorded in the period 2005–2019 in the Web of Science (WoS) database, based on innovative methods and indicators, and focusing in particular on biochar production and valorization pathways. The cumulated number of publications was analyzed with power and logistic models, and the economic indicator CAGR (Compound Annual Growth Rate) for the estimation of future academic output. Mapping of the evolution of academic output revealed the worldwide diffusion of academic production toward many countries and continents. According to the analysis of collaboration networks of most productive countries, the development of academic output may be linked to high levels of international collaboration, as well as the diversity of these networks. Furthermore, the rise of academic output in the African continent may preclude an evolution toward a multipolar academic world. The average number of citations per paper at both author level (number of citations/number of papers) and journal level (total citations/total papers) was found to be a useful indicator of scientific productivity. In particular, academic journals with impact factors as low as 2.5–3 still ranked high on this criterion, revealing their high impact on academic research in the biochar sector. Finally, the analysis of targeted keywords co-occurrences emphasized the diversification of research on biochar applications, from its initial use as soil improver toward engineered biochar for versatile applications

Production and Dry Mechanochemical Activation of Biochars Derived from Moroccan Red Macroalgae Residue and Olive Pomace Biomass for Treating Wastewater: Thermodynamic, Isotherm, and Kinetic Studies

International audienceThis study aimed to produce activated biochars (BCs) from Moroccan algae residue (AG) and olive pomace (OP) using mechanochemical activation with NaOH and ball milling (BM) for treating artificial textile wastewater containing methylene blue (MeB). The produced OP-activated BC by BM showed the highest absolute value of zeta-potential (-59.7 mV) and high removal efficiency of MeB compared to other activated BCs. The nonlinear pseudo-first-order kinetic model was the most suitable model to describe the kinetics of adsorption of MeB onto biochars produced from AG and the NaOH-activated BC from OP, whereas the nonlinear pseudo-second-order kinetic model suits the OP raw biochar and BM-activated BC. The nonlinear Langmuir isotherm model was the most suitable model for describing MeB adsorption onto BCs, compared to the nonlinear Freundlich isotherm model. The maximum adsorption capacities of AG-activated BCs with NaOH and BM were 13.1 and 9.1 mg/g, respectively, while those of OP-activated BCs were 2.6 and 31.8 mg/g, respectively. The thermodynamic study indicates the spontaneous and endothermic nature of the adsorption process of most activated BCs. In addition, Delta S degrees values indicate the increase of randomness at the solid-liquid interface during MeB sorption onto BC

Resource utilization and preparedness within the COVID-19 pandemic in Tunisian medical intensive care units: A nationwide retrospective multicentre observational study

Background: The worldwide SARS-CoV-2 pandemic represents the most recent global healthcare crisis. While all healthcare systems suffered facing the immense burden of critically-ill COVID-19 patients, the levels of preparedness and adaptability differed highly between countries. Aim: to describe resource mobilization throughout the COVID-19 waves in Tunisian University Medical Intensive Care Units (MICUs) and to identify discrepancies in preparedness between the provided and required resource. Methods: This is a longitudinal retrospective multicentre observational study conducted between March 2020 and May 2022 analyzing data from eight University MICUs. Data were collected at baseline and at each bed expansion period in relation to the nation’s four COVID-19 waves. Data collected included epidemiological, organizational and management trends and outcomes of COVID-19 and non-COVID-19 admissions. Results: MICU-beds increased from 66 to a maximum of 117 beds. This was possible thanks to equipping pre-existing non-functional MICU beds (n = 20) and creating surge ICU-beds in medical wards (n = 24). MICU nurses increased from 53 to 200 of which 99 non-ICU nurses, by deployment from other departments and temporary recruitment. The nurse-to-MICU-bed ratio increased from 1:1 to around 1·8:1. Only 55% of beds were single rooms, 80% were equipped with ICU ventilators. These MICUs managed to admit a total of 3368 critically-ill patients (15% of hospital admissions). 33·2% of COVID-19-related intra-hospital deaths occurred within the MICUs. Conclusion: Despite a substantial increase in resource mobilization during the COVID-19 pandemic, the current study identified significant persisting discrepancies between supplied and required resource, at least partially explaining the poor overall prognosis of critically-ill COVID-19 patients

Early administration of norepinephrine in sepsis: Multicenter randomized clinical trial (EA-NE-S-TUN) study protocol.

One of the most important components of sepsis management is hemodynamic restoration. If the target mean arterial pressure (MAP) is not obtained, the first recommendation is for volume expansion, and the second is for norepinephrine (NE). We describe the methodology of a randomized multicenter trial aiming to assess the hypothesis that low-dose NE given early in adult patients with sepsis will provide better control of shock within 6 hours from therapy starting compared to standard care. This trial includes ICU septic patients in whom MAP decrease below 65 mmHg to be randomized into 2 groups: early NE-group versus standard care-group. The patient's attending clinician will determine how much volume expansion is necessary to meet the target of a MAP > 65 mm Hg. If this target not achieved, after at least 30 ml/kg and guided by the available indices of fluid responsiveness, NE will be used in a usual way. The latter must follow a consensual schedule elaborated by the investigating centers. Parameters to be taken at inclusion and at H6 are: lactates, cardiac ultrasound parameters (stroke volume (SV), cardiac output (CO), E/E' ratio), and P/F ratio. MAP and diuresis are recorded hourly. Our primary outcome is the shock control defined as a composite criterion (MAP > 65 mm Hg for 2 consecutive measurements and urinary output > 0.5 ml/kg/h for 2 consecutive hours) within 6 hours. Secondary outcomes: Decrease in serum lactate> 10% from baseline within 6 hours, the received fluid volume within 6 hours, variation of CO and E/E', and 28 days-Mortality. The study is ongoing and aims to include at least 100 patients per arm. This study is likely to contribute to support the indication of early initiation of NE with the aim to restrict fluid intake in septic patients. (ClinicalTrials.gov ID: NCT05836272)