Chronic heart failure （CHF） is a highly prevalent condition among the elderly and is associated with considerable morbidity, institution-alization and mortality. In its advanced stages, CHF is often accompanied by t...Chronic heart failure （CHF） is a highly prevalent condition among the elderly and is associated with considerable morbidity, institution-alization and mortality. In its advanced stages, CHF is often accompanied by the loss of muscle mass and strength. Sarcopenia is a geriatric syndrome that has been actively studied in recent years due to its association with a wide range of adverse health outcomes. The goal of this review is to discuss the relationship between CHF and sarcopenia, with a focus on shared pathophysiological pathways and treatments. Mal- nutrition, systemic inflammation, endocrine imbalances, and oxidative stress appear to connect sarcopenia and CHF. At the muscular level, alterations of the ubiquitin proteasome system, myostatin signaling, and apoptosis have been described in both sarcopenia and CHF and could play a role in the loss of muscle mass and function. Possible therapeutic strategies to impede the progression of muscle wasting in CHF patients include protein and vitamin D supplementation, structured physical exercise, and the administration of angiotensin-converting enzyme inhibitors and β-blockers. Hormonal supplementation with growth hormone, testosterone, and ghrelin is also discussed as a potential treatment.展开更多
The purpose of this work is to present state of the art mass balances closing strategies in ore treatment plants to report metal accounting in a reliable manner. The current methodology is based on usage of an expert ...The purpose of this work is to present state of the art mass balances closing strategies in ore treatment plants to report metal accounting in a reliable manner. The current methodology is based on usage of an expert system which seizes and filters the plant data, analyses situations of equipment stops and mostly instruments failures. It is still possible to internally create a strategy to check the data of an instrument failure. The system is coupled to software with a Lagrangian model of mass balance closure that receives the pre-treated data. Thus, the data goes through filtering and reconciling processes to generate a reliable mass balance of the ore treatment plant. This made it possible to obtain a system that is able to tell the real productivity of an ore plant through reliable mass balances. Residence times on equipment are critical to the balance, thus, they require good logic to eliminate errors due to the characteristics of non-steady state. Among the next challenges is the inclusion of a soft sensor as a replacement of an instrument required for mass balance closure.展开更多
Recent photonic quantum machine learning proposals combined linear optics with adaptivity to enhance expressivity and improve algorithm performance and scalability.The particle-number-preserving property of linear opt...Recent photonic quantum machine learning proposals combined linear optics with adaptivity to enhance expressivity and improve algorithm performance and scalability.The particle-number-preserving property of linear optical platforms was recently employed to design a quantum convolutional neural network architecture with advantages in terms of resource complexity and the number of parameters needed.Here,we design and experimentally implement a photonic quantum convolutional neural network(PQCNN)based on linear optics equipped with adaptive state injection,a tool that increases the linear optical circuits controllability.We validate the PQCNN for a binary image classification on a photonic platform utilizing a semiconductor quantum dot-based single-photon source and programmable integrated photonic interferometers comprising 8 and 12 modes.To investigate the scalability of the PQCNN design,we performed numerical simulations on datasets of different sizes.These findings demonstrate potential utilities of a simple adaptive technique for a nonlinear boson sampling task,compatible with near-term quantum devices.展开更多
Lawrinenko et al.(2023)published a review paper on mechanistic aspects regarding the operation mode of subsurface permeable reactive barriers(PRBs)containing metallic iron(Fe0)for groundwater remediation.The article a...Lawrinenko et al.(2023)published a review paper on mechanistic aspects regarding the operation mode of subsurface permeable reactive barriers(PRBs)containing metallic iron(Fe0)for groundwater remediation.The article aimed at discussing the primary mechanisms of Fe0 oxidative dissolution and subsequent transformations determining the efficiency of Fe0 PRBs.展开更多
文摘Chronic heart failure （CHF） is a highly prevalent condition among the elderly and is associated with considerable morbidity, institution-alization and mortality. In its advanced stages, CHF is often accompanied by the loss of muscle mass and strength. Sarcopenia is a geriatric syndrome that has been actively studied in recent years due to its association with a wide range of adverse health outcomes. The goal of this review is to discuss the relationship between CHF and sarcopenia, with a focus on shared pathophysiological pathways and treatments. Mal- nutrition, systemic inflammation, endocrine imbalances, and oxidative stress appear to connect sarcopenia and CHF. At the muscular level, alterations of the ubiquitin proteasome system, myostatin signaling, and apoptosis have been described in both sarcopenia and CHF and could play a role in the loss of muscle mass and function. Possible therapeutic strategies to impede the progression of muscle wasting in CHF patients include protein and vitamin D supplementation, structured physical exercise, and the administration of angiotensin-converting enzyme inhibitors and β-blockers. Hormonal supplementation with growth hormone, testosterone, and ghrelin is also discussed as a potential treatment.
文摘The purpose of this work is to present state of the art mass balances closing strategies in ore treatment plants to report metal accounting in a reliable manner. The current methodology is based on usage of an expert system which seizes and filters the plant data, analyses situations of equipment stops and mostly instruments failures. It is still possible to internally create a strategy to check the data of an instrument failure. The system is coupled to software with a Lagrangian model of mass balance closure that receives the pre-treated data. Thus, the data goes through filtering and reconciling processes to generate a reliable mass balance of the ore treatment plant. This made it possible to obtain a system that is able to tell the real productivity of an ore plant through reliable mass balances. Residence times on equipment are critical to the balance, thus, they require good logic to eliminate errors due to the characteristics of non-steady state. Among the next challenges is the inclusion of a soft sensor as a replacement of an instrument required for mass balance closure.
基金The authors acknowledge the support of the European Union’s Horizon Europe research and innovation program under EPIQUE Project(Grant Agreement No.101135288)the ERC Advanced Grant QU-BOSS(QUantum advantage via nonlinear BOSon Sampling,Grant Agreement No.884676)+1 种基金the ICSC-Centro Nazionale di Ricerca in High Performance Computing,Big Data and Quantum Computingfunded by European Union-NextGenerationEU.E.K.acknowledges support from the EPSRC Quantum Advantage Pathfinder research program within the UK’s National Quantum Computing Center.
文摘Recent photonic quantum machine learning proposals combined linear optics with adaptivity to enhance expressivity and improve algorithm performance and scalability.The particle-number-preserving property of linear optical platforms was recently employed to design a quantum convolutional neural network architecture with advantages in terms of resource complexity and the number of parameters needed.Here,we design and experimentally implement a photonic quantum convolutional neural network(PQCNN)based on linear optics equipped with adaptive state injection,a tool that increases the linear optical circuits controllability.We validate the PQCNN for a binary image classification on a photonic platform utilizing a semiconductor quantum dot-based single-photon source and programmable integrated photonic interferometers comprising 8 and 12 modes.To investigate the scalability of the PQCNN design,we performed numerical simulations on datasets of different sizes.These findings demonstrate potential utilities of a simple adaptive technique for a nonlinear boson sampling task,compatible with near-term quantum devices.
文摘Lawrinenko et al.(2023)published a review paper on mechanistic aspects regarding the operation mode of subsurface permeable reactive barriers(PRBs)containing metallic iron(Fe0)for groundwater remediation.The article aimed at discussing the primary mechanisms of Fe0 oxidative dissolution and subsequent transformations determining the efficiency of Fe0 PRBs.
