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Consensus mechanisms are fundamental to blockchain technology, ensuring network integrity and the orderly progression of transactions. However, the predominant proof of work method, while widely adopted, has raised concerns regarding its energy-intensive nature and lack of scalability. In response, this research explores alternative consensus methods tailored to participants' engagement in blockchain storage activities. We conducted a comprehensive review of existing approaches, examining their reusability and efficacy. Concurrently, we observed a growing demand for distributed storage solutions driven by escalating data volumes. Our investigation identified areas for improvement in existing storage blockchains, motivating the development of our own system, BlockStock. This protocol, meticulously designed, aims to enhance intelligent data storage management reliably and robustly. Through rigorous performance evaluations, including assessments of power consumption, throughput, and data transfer times, BlockStock demonstrates superior efficacy and cost-effectiveness. These findings underscore its significance as a notable advancement in blockchain-based storage solutions, offering a promising avenue for future research and application.

Le diabète de type 2 (DT2) représente un lourd fardeau en raison de ses complications graves à coûts élevés. Cette étude cherche à évaluer les dépenses générées par les examens complémentaires chez les patients diabétiques hospitalisés, afin de comprendre l’impact financier de ces examens.

L’obésité est un problème de santé publique touchant particulièrement la population des sujets âgés. Notre objectif était d’estimer la prévalence de l’obésité dans un groupe de sujets âgés diabétiques et de décrire leurs profils anthropométriques.

La programmation de la grossesse chez toute femme diabétique est primordiale. L’objectif de ce travail était de déterminer la fréquence des grossesses diabétiques programmées et les facteurs qui y sont associés.

Purpose: This paper proposes a new multi-criteria decision-making method, called the vital-immaterial-mediocre method (VIMM), to determine the weight of multiple conflicting and subjective criteria in a decision-making problem. Design/methodology/approach: The novel method utilizes pairwise comparisons, vector-based procedures and a scoring approach to determine weights of criteria. The VIMM compares alternatives by the three crucial components, namely the vital, immaterial and mediocre criteria. The vital criterion has the largest effect on the final results, followed by the mediocre criterion and then the immaterial criterion, which is the least impactful on the prioritization of alternatives. VIMM is developed in two forms where the first scenario is designed to solve one-goal decision-making problems, while the second scenario embraces multiple goals. Findings: To validate the method's performance and applicability, VIMM is applied to a problem of sustainable supplier selection. Comparisons between VIMM, analytic hierarchy process (AHP) and best-worst method (BWM) reveal that VIMM significantly requires fewer comparisons. Moreover, VIMM works well with both fractional and integer numbers in its comparison procedures. Research limitations/implications: As an implication for research, we have added the development of the VIMM under fuzzy and grey environments as the direction for optimization of the method. Practical implications: As managerial implications, VIMM not only provides less complex process for the evaluation of the criteria in the managerial decision-making process, but it also generates consistent results, which make VIMM a reliable tool to apply to a large number of potential decision-making problems. Originality/value: As a novel subjective weighting method, there exist five major values that VIMM brings over AHP and BWM methods: VIMM requires fewer comparisons compared with AHP and BWM; it is not sensitive to the number of criteria; as a goal-oriented method, it exclusively takes the decision-making goals into account; it keeps the validity and reliability of the Decision-Makers' (DMs') opinions and works well with integer and fractional numbers. [ABSTRACT FROM AUTHOR]

La bronchopneumopathie chronique obstructive (BPCO) résulte d’une inflammation persistante qui ne parvient pas à se résoudre. Contrairement à d’autres affections respiratoires, les médiateurs lipidiques impliqués dans la BPCO n’ont pas encore été entièrement identifiés. Cette étude visait à évaluer les médiateurs lipidiques chez les patients atteints de BPCO par rapport à des témoins sains, et à analyser leur relation avec la sévérité de la maladie et les paramètres cliniques.

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.cie.2009.04.013 Byline: Naoufel Cheikhrouhou, Christoph Hachen, Remy Glardon Keywords: Hybrid manufacturing planning & control method; Markov processes; Industrial case study; Double Speed Single Production Line Abstract: In this paper, the hybrid production planning & control method Double Speed Single Production Line (DSSPL) is presented, modelled and its performances evaluated and compared to classical Production Planning and Control methods (PPC). DSSPL combines JIT/kanban and Material Requirement Planning for the production of different classes of products (A- and B-items based on a market or customer oriented analysis) on one single production line. By the use of a Markovian birth-death queuing model of a single-stage, two-product production system, the performance and the behavior of the basic DSSPL concept are analyzed and compared to the classical MRP concepts. Its capability to cope with limited resources is illustrated with an industrial case study where DSSPL has been implemented to solve coordination problems between a plastic molding feeder shop and the final assembly line of a micromotor producer. Author Affiliation: Ecole Polytechnique Federale de Lausanne (EPFL), Laboratory for Production Management and Processes, 1015 Lausanne, Switzerland Article History: Received 7 November 2008; Revised 9 April 2009; Accepted 10 April 2009

Maintaining and developing competitive advantages in a constantly changing market require the creation and exploitation of a network of adequate competences. Competence management necessitates both clean formalization and evaluation of the pertinence of competences. This depends on several factors and involves subjective elements. In this paper, a methodological approach for evaluating competences is proposed. This new approach is mainly based on fuzzy logic which handles the integration of subjective elements. The approach is demonstrated within a real problem in the transportation industry. Keywords: Competence management; Resource-based competition; Fuzzy logic; Multi-criteria approach; Linguistic variables

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.compind.2006.09.010 Byline: Gregoire Pepiot, Naoufel Cheikhrouhou, Jean-Marie Furbringer, Remy Glardon Keywords: Competence; Resource; Enterprise; Modelling; UECML Abstract: This paper introduces the principles of a unified language devoted to the area of competence-based enterprise modelling. The language, named UECML, for Unified Enterprise Competence Modelling Language, is intended to provide a neutral interface to enterprise modelling based on competences. Therefore, it is built on previous languages, especially Unified Enterprise Modelling Language (UEML) and provides constructs to cover process, resource, competence and enterprise entities. An example of the implementation of the proposed UECML is provided with its application to a producer of railway vehicles. Author Affiliation: Ecole Polytechnique Federale de Lausanne, Laboratory for Production Management and Processes, CH-1015 Lausanne, Switzerland Article History: Accepted 20 September 2006

La neuropathie diabétique périphérique (DNP) est une complication chronique fréquente du diabète. L’hyperglycéridémie est un trouble lipidique fréquent chez les patients dont le diabète sucré est mal contrôlé. Le but de notre étude était de chercher une association entre l’hyperglycéridémie et la NDP chez les patients atteints de diabète de type 2 (DT2).

La perte d’autonomie est fréquente chez les personnes âgées notamment en particulier ceux ayant une maladie chronique comme le diabète sucré. L’objectif de notre étude était d’évaluer la fréquence de la perte de l’autonomie dans un groupe de diabétiques âgés et d’évaluer son impact sur l’équilibre glycémique.

Le diabète représente un problème de santé publique touchant de plus en plus les femmes en âge de procréation. L’objectif de notre travail était de déterminer la prévalence du diabète méconnu avant la grossesse dans un groupe de femmes tunisiennes enceintes.

L’allaitement maternel (AM) offre des avantages pour la santé à court et à long termes aux mères et à leurs nourrissons. L’objectif de notre travail était d’évaluer les connaissances des femmes diabétiques enceintes sur l’AM.

L’épidémie mondiale due au coronavirus 2019 (COVID-19) a fait émerger une littérature abondante sur les conséquences associées à sa survenue. Notre objectif est de décrire les facteurs de risque de développer un diabète lors d’une infection par COVID-19.

Au cours de la grossesse, les dysfonctionnements de la thyroïde sont fréquents chez les femmes enceintes. L’objectif de notre travail était de déterminer la prévalence des dysthyroïdies dans un groupe de femmes enceintes diabétiques.

Muscle relaxation facilitates orotracheal intubation, but in some situations, neuromuscular blocking agents may be contraindicated.

ABSTRACTLot-sizing and scheduling are a well-known problem. However, there are only few works addressing the problem in the food industry. We propose a mixed-integer-programming model for the lot-sizing and scheduling problem in a dairy production process. The latter is composed of standardisation tanks that can store different types of flavours and ultra-high temperature (UHT) lines. The model considers limited shelf life of liquid flavours in standardisation tanks and production bottleneck that can alternate between stages. Ten representative instances using real data are addressed with an exact method and a relax-and-fix heuristic. The results show that the assignment strategies increase the production costs. Moreover, these assignment strategies do not only reveal the total production capacity related to some industrial settings but also show the limit at which the bottleneck capacity of a given setting moves from the UHT line to the tanks.

Clinical trials companies are increasingly digitalising their reverse logistics flow supply chains to increase visibility and monitoring of their specimens using Internet of Things (IoT) devices, however the large number and diverse range of IoT solutions make it difficult to select the most appropriate one for the closed-loop supply chain of clinical trials which operates in reverse logistics flow. This paper identifies the criteria with which to evaluate IoT devices for the reverse logistics flow of clinical trials supply chains and proposes Analytic hierarchy process (AHP) combined with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach for the evaluation and selection of the best alternative. The approach is demonstrated on a real case and a sensitivity analysis and comparison to the AHP method validates the robustness of the solution.

The reverse logistics network (RLN) design for sustainable supply chain management is a strategic decision in network configuration, and is higher influenced by uncertainty. This paper applies a bi-level stochastic multi-objective model to design an RLN for a disposable product recycling management system. The goal is to balance the overall network cost against the associated environmental risks. An LP-metric based sample average approximation is formulated to solve the optimization problem. The model is validated numerically through a disposable product firm.

Purpose: Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk. Design/methodology/approach: A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection. Findings: It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period. Research limitations/implications: The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19. Originality/value: This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

La leishmaniose cutanée (LC) est une zoonose acquise fréquente en Tunisie. De rares études ont été publiées à propos des aspects cliniques et thérapeutiques des LC survenant sur un terrain d’immunodépression.

To improve quality, production, and service delivery, clothing industries look toward continuous improvement approaches such as lean manufacturing, Six Sigma, and Lean Six Sigma (LSS). Simulation is one of the effective methods which aim to examine different solution scenarios. This study explores how LSS and simulation can be integrated based on the Sim-Lean approach, using a process improvement effort in clothing small–medium enterprises (SMEs). A structured framework integrating these research methodologies is developed, which might benefit a variety of future clothing process improvement efforts, and could inform quality improvement efforts in other industries. The aim is to allow a successful implementation of the approach in the clothing industry to improve the lead time, the daily output, the average staying times (min) of jobs waiting in queues, and the resource utilization.

In this paper, a new theory is introduced called orbital systems theory to handle the uncertainty of the natural phenomena, the complicated real-world problems, and the human's decision-making process which naturally creates the inconstancy and uncertainty in each process it involves. The philosophy of the new theory is established based on this hypothesis that every component of the universe is a box that carries the information and each one is constructed by the particular information concepts that move along specific orbits. The orbital system is an integral part of the new theory. As a restricted numeric system, its core is the concept of reality. An orbital system is developed based on five numerical spectra surrounded by four parallel dimensions of reality and certain reality. With considering 'time' as an element, each dimension adds entropy to the system, and increases/decreases the level of uncertainty.

Team-based learning (TBL) is an active method of learning aiming to the promotion of the teamwork and improvement of critical thinking. Students of our university weren’t used to TBL. We tried to implement a learning session combining TBL and lectures.

Abstract: In this paper, we present a detailed study of the critical behavior around paramagnetic–ferromagnetic phase transition in the nominal composition La0.65Bi0.05Sr0.3Mn1 –xGaxO3(x= 0 and 0.06). Our powder specimens were synthesized using the conventional solid-state reaction method and analyzed by X-ray diffraction and magnetic measurements. X-ray diffraction analysis at room temperature shows that our specimens La0.65Bi0.05Sr0.3Mn1 –xGaxO3(x= 0 and 0.06) adopt a rhombohedral structure with R-3C space group. Based on Banerjee criterion, the positive slopes of the Arrott plot confirm the second order magnetic phase transition of our samples. The critical exponent values are calculated by distinct techniques like modified Arrott plot (MAP), Kouvel–Fisher method (KF) and critical isotherm (CI). The determined critical exponents values are close to the 3D-Ising model. Furthermore, the substitution of Mn by Ga leads to the decrease of the critical exponent β and at the same time to the reduction of the Curie temperature TC. The validity of the determined exponent values is authenticated using the scaling hypothesis, in which the M(T, ε) curves integrate in two universal curves below and above TC.

L’objectif de notre étude était d’étudier les caractéristiques du SAHOS chez le sujet jeune.

L’objectif de notre étude était d’étudier le profil fonctionnel respiratoire en fonction de la sévérité du SAHOS.

This paper addresses the development of a multi-criteria decision making (MCDM) procedure including a pattern extraction from success and failure of current market introduction to generate a logical framework for target market selection. In addition of covering the gap of comprehensive research in Iran's domestic dairy market, using combined MCDM methods and grey systems, the main problem this paper tries to solve is the selection of a target market which covers not only the limitations of the company's current markets but also possesses their advantages. A real-world implementation of the approach is done within a dairy company located in Iran. Considering Tehran, the North, Khuzestan, and West Azerbaijan as the current market, and also Mashhad, Isfahan, Shiraz, and Tabriz as the potential market, Shiraz selected as the best target market through analysis of various criteria. Results show that considering current markets has a big influence on the market ranking procedure.

Problem:The evaluation of programs is mandatory in faculties of medicine. It enables them to be in adequacy with their mission objectives, and social responsibilities and to correct their potential lacune. Recommendations concerning external evaluation that could be supervised by different organizations have been reported in the literature as reports or articles. On the other hand, few publications described a process of an internal evaluation of a program, which could be performed by institutional members. Many authors reported pre and post-tests study or qualitative studies to assess medical programs. The authors aimed to perform the evaluation of a module program taught in the second year of medical education based on the evaluation of 4 axes: The pedagogical alignment, the teaching techniques and the assessment tests, the students’ views, and needs, and the teachers’ views and needs. Intervention:The authors performed an evaluation of a multidisciplinary theme taught during the second year of medical education. They performed a 4-axis-based evaluation assessing the pedagogical alignment, the teaching techniques and the evaluation methods, the teachers’ views and needs and the students’ opinions and views. Context:The study was performed during the period extending from January 2020 to January 2021. Impact:The 4-axis-based analysis revealed that the weaknesses of the educational process were mainly represented by the heterogeneity of the teaching methods and techniques reflecting the difficulties of the teachers to integrate clinical data into their teaching in order to allow the students to assimilate fundamental data. The opportunities were represented by the accreditation process by the International Conference of the Deans of Medical Faculties with French Expression undertaken by the deanship which can improve the quality of this theme. The threats were represented by the demotivation of the teachers and the lack of federation of the various specialties coordinators around the final product which is the student. Many actions were performed in order to reduce the weaknesses. Lessons learned:The authors’ approach was particular in the fact that it was centered on an objective evaluation of the teaching techniques and the evaluation tests on one hand and the students’ and teachers’ opinions and needs on the other hand. The major limit of this approach was the fact that it didn’t take into account the educational environment, which could influence the students’ performances. On the other hand, this approach put emphasis on the necessity of adopting the culture of continuous evaluation of programs and curriculum in order to sustain the social contract of the faculties of medicine.

Les réactions paradoxales (RP) sous traitement antituberculeux sont rares et encore peu étudiées chez le sujet immunocompétent.

À côté de la forme typique ulcéro-croûteuse, la leishmaniose cutanée (LC) revêt plusieurs formes atypiques parfois déroutantes, engendrant un retard diagnostique et thérapeutique. La forme pseudotumorale est rare. L’objectif de ce travail était de décrire les caractéristiques cliniques, diagnostiques et évolutives de cette forme de LC.

La démodécidose cutanée est due à la prolifération et à l’extension dermique d’un ectoparasite commensal: Demodex sp. La classification actuelle distingue des formes primaires et secondaires. L’objectif de ce travail a été de rapporter les particularités cliniques des cas de démodécidose cutanée.

The proliferation of resource-constrained devices has become prevalent across various digital applications, including smart homes, smart healthcare, and smart transportation, among others. However, the integration of these devices brings many security issues. To address these concerns, Blockchain technology has been widely adopted due to its robust security characteristics, including immutability, cryptography, and distributed consensus. However, implementing blockchain within these networks is highly challenging due to the limited resources of the employed devices and the resource-intensive requirements of the blockchain. To overcome these challenges, a multitude of researchers have proposed lightweight blockchain solutions specifically designed for resource-constrained networks. In this paper, we present a taxonomy of lightweight blockchain solutions proposed in the literature. More precisely, we identify five areas within the “lightweight” concept, namely, blockchain architecture, device authentication, cryptography model, consensus algorithm, and storage method. We discuss the various methods employed in each “lightweight” category, highlighting existing gaps and identifying areas for improvement. Our review highlights the missing points in existing systems and paves the way to building a complete lightweight blockchain solution for networks of resource-constrained devices.

Background: Double congenital tracheoesophageal fistula (TEF) without esophageal atresia, known as double H-type fistula, is an extremely uncommon malformation. Due to its nonspecific symptoms and the small size of the fistula in infancy, H-type tracheoesophageal fistula is rarely diagnosed in the neonatal period and is also challenging to repair. Case presentation: We report a rare case of double H-type tracheoesophageal fistula in a 2-day-old newborn, identified with a time-lapse and repaired separately. The diagnosis was established through repeated bronchoscopy, with methylene blue injected through an esophagoscope. A right thoracotomy was performed to undertake the surgical repair after cannulating the fistula with a vascular guide wire. Five months later, the infant, who had a history of recurrent episodes of coughing and shortness of breath, was diagnosed with acute respiratory distress, and a second TEF was detected by bronchoscopy. A cervical incision was used to repair the second H-type fistula. Conclusions: Double H-type tracheoesophageal fistula should be considered while correcting a tracheoesophageal fistula, especially if the symptoms continue after the first operation. Repeated radiological contrast studies and bronchoscopy with methylene blue injected through an esophagoscope help the early diagnosis.

L’objectif de notre étude était d’étudier les caractéristiques cliniques, biologiques et polygraphiques du SAHOS chez les sujets âgés.

Notre objectif est de déterminer les caractéristiques cliniques et polygraphiques du syndrome d’apnées-hypopnées obstructives du sommeil (SAHOS) chez le sujet diabétique.

L’objectif de notre étude était de décrire le profil clinique et évolutif des patients diabétiques de type 1.

Inventory managers do not predominantly follow normative optimisation models. At best, they introduce a level of bounded rationality in their inventory replenishment decisions. This paper examines the behaviour of inventory decision-makers under continuous review in a decentralised supply chain, using an experimental approach with unknown market demand and local information availability. The analysis reveals that not only the magnitude and the variability of order quantity tend to be larger, but also that the order-time intervals is lengthen and highly variable while moving upstream along the supply chain. The role of the inventory managers' replenishment decisions on the echelon holding, backorder, and total costs, is also investigated. Finally, a normative model is designed and its solutions are compared to the experimental results. It is observed that humans do not operate in a perfectly optimal way, but are generally reluctant to risk increasing backorder costs and reducing inventory carrying cost, even if this would lead to lower total cost.

This paper proposes a methodology to select an expert for the development of humanitarian and social projects based on multi-criteria decision-making with incomplete information relations to add more objectivity to the recruitment process. The proposed approach starts with assessing the decision makers (DMs) by means of Fuzzy Analytic Hierarchy Process (AHP). Then, Analytic Network Process (ANP) is used to weigh the criteria in order to take into account the interdependencies between criteria. In the recruiting process, an expert could be unable to assess all criteria. Therefore, the incomplete preference relations is used when a DM is unable to express his judgment. At a later stage, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is addressed to rank the different candidates. The proposed methodology is applied to a situation where an extra DM evaluates four DMs, and six criteria are used to select one candidate among five. The obtained criteria weights and the final ranking of the candidates are analysed and compared to an approach where there is no lack of information in the decision maker’s preferences.

L’obésité est une pandémie mondiale dont l’incidence ne cesse de croître. Des anomalies du bilan biologique et hormonal lui sont associées et fréquemment retrouvées. Notre étude a pour but de déterminer la prévalence des anomalies du bilan biologique et hormonal constatée chez les patients obèses.

Le cou, du fait qu’il n’est pas protégé par le squelette, est vulnérable aux traumatismes externes et aux plaies qui peuvent engendrer des lésions vasculaires, musculaires, nerveuses et trachéales. Les plaies carotidiennes sont graves du fait de l’hémorragie importante et du risque d’accident vasculaire cérébral ischémique qu’elles peuvent engendrer. Les traumatismes associés de la veine jugulaire interne occasionnant une fistule carotido-jugulaire sont rares. Nous rapportons le cas d’un travailleur manuel de 26 ans présentant une plaie cervicale par un projectile métallique qui a occasionné une section de l’artère carotide primitive, de la veine jugulaire interne avec une fistule entre ces deux vaisseaux et une plaie de la trachée. Le patient a eu une suture chirurgicale de la plaie trachéale, avec une reconstruction carotidienne par l’interposition d’un greffon en PTFE et une ligature de la veine jugulaire interne. Les suites précoces de l’intervention ont été favorables, avec une stabilisation de l’état hémodynamique et sans l’apparition d’un déficit neurologique. Il a présenté une pneumopathie infectieuse postopératoire secondaire à la ventilation mécanique, qui a bien évolué sous traitement antibiotique. Le patient est actuellement à 3 mois de l’intervention. Il va bien et ne présente pas de signes neurologiques.

Les anévrismes isolés des artères iliaques sont rares. Le développement des méthodes d’exploration radiologique a facilité la découverte et le diagnostic de ces anévrismes. L’apparition des techniques endovasculaires a bouleversé la prise en charge de cette pathologie en offrant plusieurs alternatives au traitement chirurgical classique. Nous exposons notre prise en charge, au service de chirurgie cardiovasculaire et thoracique de l’hôpital Habib-Bourguiba de Sfax, de 8 cas d’anévrisme iliaque isolé.

In this study, we developed an original approach for preparing cellulose-coated magnetite nanoparticles (NPs). Two novel Schiff bases (PDA-g-DAC) and [Bz-(PDA-g-DAC)] were synthesized via condensation reactions of periodate oxidized micro-crystalline cellulose (DAC) with o-phenylene diamine (PDA) to obtain its azomethine derivative with 85% yield. Subsequently, the functionalization of (PDA-g-DAC) with benzil (Bz) yields the tetraaza macrocycle [Bz-(PDA-g-DAC)]. The physicochemical characterization of the condensation products was performed using 13CNMR, FTIR, ATG, DSC, and X-ray diffraction techniques. Magnetic nanomaterial-based Schiff base cellulose was successfully prepared using in situ chemical co-precipitation of coordinated ferric and ferrous ions in cellulose Schiff base matrix under optimized conditions, and then, its magnetic properties were characterized. The results demonstrated that the Fe3O4NPs coated with [Bz-(PDA-g-DAC)] were homogeneously coated in the matrix under ultrasonic irradiation with the saturation magnetization of 69.50 emu g−1. In addition, XRD line broadening analysis showed that the average particle size of the NPs was 37.3 nm. Furthermore, FTIR spectra demonstrated that [Bz-(PDA-g-DAC)] concavity was anchored to magnetite Fe3O4NPs through azomethine groups. Vibrating sample magnetometry (VSM) of [Bz-(PDA-g-DAC)@Fe3O4] magnetic nanocomposite samples showed the typical behavior of ferromagnetism. This study provided a green and facile method to inhibit magnetic nanoparticle aggregation. Activity results revealed that the prepared [Bz-(PDA-g-DAC)@Fe3O4] catalyst shows the maximum activity for degradation of Acid Yellow 17 (AY17) compared to other prepared catalysts. After degradation reaction, the [Bz-(PDA-g-DAC)@Fe3O4] catalyst was recovered from the reaction mixture via an external magnet and used for further five consecutive cycles with excellent catalytic activity, successively, which was comparable to the fresh catalyst. The catalyst degradation efficiency and its easy separation exhibited that [Bz-(PDA-g-DAC)@Fe3O4] catalyst is a promising material for the removal of AY17 from aqueous solutions in green chemistry perspectives.

IoT has enabled the rapid growth of smart remote healthcare applications. These IoT-based remote healthcare applications deliver fast and preventive medical services to patients at risk or with chronic diseases. However, ensuring data security and patient privacy while exchanging sensitive medical data among medical IoT devices is still a significant concern in remote healthcare applications. Altered or corrupted medical data may cause wrong treatment and create grave health issues for patients. Moreover, current remote medical applications’ efficiency and response time need to be addressed and improved. Considering the need for secure and efficient patient care, this paper proposes a lightweight Blockchain-based and Fog-enabled remote patient monitoring system that provides a high level of security and efficient response time. Simulation results and security analysis show that the proposed lightweight blockchain architecture fits the resource-constrained IoT devices well and is secure against attacks. Moreover, the augmentation of Fog computing improved the responsiveness of the remote patient monitoring system by 40%.

Évaluer les particularités cliniques et polygraphiques du syndrome d’apnée hypopnée obstructive du sommeil (SAHOS) chez les sujets non obèses.

L’objectif de ce travail était de comparer les caractéristiques cliniques et polygraphiques des patients apnéiques avec ou sans nycturie.

Étudier les caractéristiques cliniques, biologiques et polygraphiques ces patients apnéiques ayant un SIB.

Le but de notre étude est de comparer les caractéristiques cliniques et polygraphiques des patients apnéiques avec ou sans anémie.

Le syndrome de la jonction pyélo-urétérale (SJPU) est la cause la plus fréquente d’hydronéphrose prénatale et néonatale et sa prise en charge reste un sujet de controverse. Bien que la chirurgie soit traditionnellement réservée aux enfants symptomatiques présentant une stase obstructive à la scintigraphie rénale dynamique, de nombreux patients présentant une hydronéphrose sévère à l’échographie associée à une obstruction au néphrogramme isotopique maintiennent une bonne fonction rénale relative. La scintigraphie rénale au 99m-technétium dimercaptosuccinique (DMSA) permet d’identifier les lésions corticales et d’apprécier les fonctions rénales relatives. Le but de ce travail était d’évaluer l’impact du grade de l’hydronéphrose sur la fonction rénale relative, appréciée par la scintigraphie DMSA, et d’étudier la récupération de la fonction rénale après le traitement chirurgical d’un SJPU chez ces enfants.