Artificial Intelligence in Green Management and the Rise of Digital Lean for Sustainable Efficiency

Artificial intelligence (AI) is a powerful management technology that offers analyzes and insights superior to those made by humans. It cuts costs and saves time by automating repetitive processes, forecasting customer demand and optimizing supply chains while taking into consideration their impact on sustainability and the environment. Organizations become more efficient through the integration of AI, which increases performance and decision-making. This essay examines the use of AI in management and the advent of digital lean, which combines lean manufacturing with technological innovation. The environmental benefits of AI, including energy efficiency and sustainable manufacturing, are also advocated. To realize the environmental sustainability benefits of AI, issues such as data privacy and scalability, as well as the need for responsible AI cooperation and practices, are highlighted

A modified sailfish optimizer to solve dynamic berth allocation problem in conventional container terminal

During the past two decades, there has been an increase on maritime freight traffic particularly in container flow. Thus, the Berth Allocation Problem (BAP) can be considered among the primary optimization problems encountered in port terminals. In this paper, we address the Dynamic Berth Allocation Problem (DBAP) in a conventional layout terminal which differs from the popular discrete layout terminal in that each berth can serve multiple vessels simultaneously if their total length is equal or less than the berth length. Then, a Modified Sailfish Optimizer (MSFO) meta-heuristic based on hunting sailfish behavior is developed as an alternative for solving this problem. Finally, computational experiments and comparisons are presented to show the efficiency of our method against other methods presented in the literature in one hand. We also discuss the productivity of a container terminal based on different scenarios which can happen

Unintegrated HIV-1 provides an inducible and functional reservoir in untreated and highly active antiretroviral therapy-treated patients

<p>Abstract</p> <p>Background</p> <p>The presence of HIV-1 preintegration reservoir was assessed in an <it>in vitro </it>experimental model of latent HIV-1 infection, and in patients treated or not with highly active antiretroviral therapy (HAART).</p> <p>Results</p> <p>In resting CD4⁺T lymphocytes latently infected <it>in vitro </it>with HIV-1, we demonstrated that the polyclonal activation induced a HIV-1 replication, which could be prevented by the use of an HIV-1 integrase inhibitor. We also showed that this reservoir was labile since the rescuable HIV-1-antigens production from unintegrated HIV-1 genomes declined over time. These data confirm that our experimental approach allows the characterization of a functional unintegrated HIV-1 reservoir. We then explored the preintegration reservoir in HIV-1-infected patients. This reservoir was detected in 11 of 12 untreated patients, in 4 of 10 sustained responders to HAART, and in one incomplete responder. This reservoir was also inducible, labile, and anti-HIV-1 integrase drug inhibited its induction. Finally, this reservoir was associated with the presence of spontaneous HIV-1 antigens producing CD4⁺T cells in blood from 3 of 3 untreated patients and 2 of 2 sustained responders to HAART harboring a preintegration reservoir.</p> <p>Conclusion</p> <p>This preintegration phase of HIV-1 latency could be a consequence of the ongoing viral replication in untreated patients and of a residual viral replication in treated patients.</p

CD4+ T cells spontaneously producing human immunodeficiency virus type I in breast milk from women with or without antiretroviral drugs

<p>Abstract</p> <p>Background</p> <p>Transmission of human immunodeficiency virus type 1 (HIV-1) through breast-feeding may involve both cell-free and cell-associated virus. This latter viral reservoir remains, however, to be fully explored. CD4⁺T cell-associated virus production in breast milk was therefore investigated.</p> <p>Methods</p> <p>The <it>ex vivo </it>spontaneous production of HIV-1 antigen and HIV-1 RNA by CD4⁺T cells was measured in paired blood and breast milk samples from 15 HIV-1 infected women treated or not with antiretroviral drugs. Spontaneous antigen secreting cells (HIV-1-AgSCs) from breast milk and blood were enumerated by an ELISpot assay, and cell-associated HIV-1 RNA was quantified by real-time PCR in supernatants of CD4⁺T cells cultured for 18 hours without addition of polyclonal activators.</p> <p>Results</p> <p>Among the CD4⁺T cells present in breast milk, memory cells expressing high levels of cell-surface activation markers were predominant. Spontaneous HIV-1-AgSCs were detected and enumerated in the breast milk of all 15 women, with a median number of 13.0 and 9.5 HIV-1- AgSCs/106 CD4⁺T cells in aviremic (n = 7) and viremic (n = 8) women, respectively. Cell- associated HIV-1 RNA was detected in cell-free supernatants from 4/7 aviremic and 5/8 viremic individuals at median levels of 190 and 245 copies/ml, respectively.</p> <p>Conclusions</p> <p>Activated CD4⁺T cells producing HIV-1 are detected in the breast milk of untreated individuals as well as those receiving highly active antiretroviral therapy. This finding strongly suggests that HIV-1 replication occurs in latently infected CD4⁺T cells that, upon spontaneous activation, revert to productively infected cells. These cells might be responsible for a residual breast milk transmission despite maternal highly active antiretroviral therapy.</p

Mise en évidence d'un réservoir VIH-1 dans les lymphocytes T CD4+ quiescents du lait maternel

PARIS-BIUP (751062107) / SudocSudocFranceF

Insurtech: Moroccan Regulation Toward the Example of Insurtech Lead in Arab Countries: United Arab Emirates

Technologies are redefining the ecosystem [1] and the boundaries between industries, and reshaping consumer’s expectations. It is important to share divers’ data in a network to forge a business related to contributor’s data in the same manner to predictive maintenance [2] The partnership with technology suppliers based on IOT and telematics open the gate to a novel ecosystem where one strong platform grows and expands. Digitization and technologies proposed a new approach to common failure for the insurance industry. we present the legal basis as an accelerator to boost the adoption of digital solutions in insurance services including distribution, claim declaration, contract’s renewal

Le réservoir EBV dans le compartiment circulant (mise en évidence et implications en pathologie humaine)

Chez les porteurs sains, les cellules du compartiment circulant infectées par le virus EBV sont des cellules très rares (1 à 50 par million de cellules B) et ne peuvent être directement détectées et dénombrées car non accessible par des techniques de biologie moléculaire. Nous avons développé une technique originale ELISpot-antigène EBV basée sur la mise en évidence et le dénombrement dans le compartiment circulant de cellules B quiescentes infectées par l EBV et compétentes pour la réplication virale. Nous nous sommes focalisés sur deux antigènes clés de la réplication virale afin de distinguer les lymphocytes B infectés par EBV capables d initier la réplication virale, de ceux capables de terminer le cycle lytique. Nous avons mis en évidence un réservoir fonctionnel composé que de 1 à 5 cellules par million de lymphocytes B. Ce petit quantum de cellules est nécessaire et suffisant à la persistance virale. Ce réservoir fonctionnel est caractérisé par une réplication abortive avant l expression des gènes de la phase lytique tardive, qui pourrait s inscrire dans une stratégie établie par le virus visant à restreindre l activité immunogénique. Ce caractère abortif, qui est présent dès la primo-infection est combinée à l activation polyclonale par effet bystander afin de permettre l élimination rapide du stade blastique dans l intérêt des deux protagonistes, l hôte et le virus.MONTPELLIER-BU Pharmacie (341722105) / SudocSudocFranceF

Artificial Intelligence in Green Management and the Rise of Digital Lean for Sustainable Efficiency

Artificial intelligence (AI) is a powerful management technology that offers analyzes and insights superior to those made by humans. It cuts costs and saves time by automating repetitive processes, forecasting customer demand and optimizing supply chains while taking into consideration their impact on sustainability and the environment. Organizations become more efficient through the integration of AI, which increases performance and decision-making. This essay examines the use of AI in management and the advent of digital lean, which combines lean manufacturing with technological innovation. The environmental benefits of AI, including energy efficiency and sustainable manufacturing, are also advocated. To realize the environmental sustainability benefits of AI, issues such as data privacy and scalability, as well as the need for responsible AI cooperation and practices, are highlighted

FDG-PET/CT in Lymphoma: Where Do We Go Now?

International audience18F-fluorodeoxyglucose positron emission tomography combined with computed tomography (FDG-PET/CT) is an essential part of the management of patients with lymphoma at staging and response evaluation. Efforts to standardize PET acquisition and reporting, including the 5-point Deauville scale, have enabled PET to become a surrogate for treatment success or failure in common lymphoma subtypes. This review summarizes the key clinical-trial evidence that supports PET-directed personalized approaches in lymphoma but also points out the potential place of innovative PET/CT metrics or new radiopharmaceuticals in the future