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Trimming the fat myth: adipose tissue’s role in liver regeneration

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Hepatobiliary Surgery and Nutrition 2024年第4期13卷 727-731页

作者： andrea Peloso Nicolas Golse Hepato-Biliary Center Paul-Brousse HospitalAssistance Publique-Hôpitaux de ParisVillejuifFrance Division of Transplantation and Abdominal Surgery Department of SurgeryGeneva University Hospitals and Faculty of MedicineGenevaSwitzerland UMRS 1193 Paris-Saclay UniversityInsermPathogenesis and Treatment of Liver DiseasesFHU HepatinovVillejuifFrance

We read with great interest the paper from Jena(Germany)recently published in Hepatobiliary Surgery and Nutrition by Deeb et al.,which caught our attention,given its clinical *** fact,post-hepatectomy liver failure(PHLF)remains nowadays a significant clinical challenge,occasionally leading to death or potentially requiring,in highly selected cases,rescue liver transplantation(1).Within quaternary care centers,the incidence of PHLF fluctuates from 5%to 20%,depending on the criteria employed,the underlying liver parenchyma quality and the type of hepatectomy(2).Hence,liver regeneration(LR)holds paramount importance in hepatic surgery as it directly impacts post-operative outcomes(3):it is a strictly orchestrated phenomenon that entails the activation of hepatocytes and hepatic progenitor cells,as well as the regulation of cell-cycle genes and growth *** contributing to PHLF include pre-operative,intra-operative and post-operative elements,leading to careful patient selection(4).

关键词： Liver regeneration(LR) adipose tissue liver living-donor transplantation

Grasslands Response to Livestock Grazing Intensity in the Austral Pampas(Argentina):Testing the Intermediate Disturbance Hypothesis

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Phyton-International Journal of Experimental Botany 2024年第8期93卷 2037-2050页

作者： Ana Elena de Villalobos María andrea Long Grupo de Investigación en Ecosistemas de Pastizal(GIEP) CERZOSCONICETBahía Blanca8000Argentina Departamento de Biología Bioquímica y FarmaciaUniversidad Nacional del SurBahía Blanca8000Argentina

Livestock grazing has a significant impact on natural grasslands,with approximately one-third of the world’s land area dedicated to this *** 20%of global grasslands are highly degraded due to overgrazing,affecting their productivity and conservation *** practices are required to ensure sustainable livestock production that supports *** Intermediate Disturbance Hypothesis(IDH)suggests that environments with moderate levels of disturbance exhibit a higher species *** grazing can reduce the dominance of certain species,thereby enhancing plant ***,concerns arise regarding the increase of exotic and unpalatable species under moderate grazing levels,complicating grassland conservation *** impact of livestock grazing on the functional structure of grasslands depends on factors such as grazing intensity,livestock species,and environmental *** in grazing intensity may increase specific and functional diversity under moderate grazing,potentially masking the presence of invasive exotic *** the Austral Pampas(Pampean phytogeographic province,Buenos Aires,Argentina),grasslands face various pressures from domestic livestock grazing that endanger their integrity if not properly ***,our study aims to investigate potential differences in species richness and diversity,functional diversity,exotic plant abundance,and the number and distribution of plant functional groups across varying grazing *** IDH is utilized as a tool to regulate livestock pressure for grassland *** and functional diversity indices were used to assess the impact of grazing on grassland *** grazing increased species and functional diversity,while intensively grazed or ungrazed areas showed reduced *** presence influenced the balance between native and exotic plants,with ungrazed areas having higher native plant abundance and grazed areas exhibiti

关键词： Natural grasslands grazing effects disturbance specific and functional diversity

Model Change Active Learning in Graph-Based Semi-supervised Learning

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Communications on Applied Mathematics and Computation 2024年第2期6卷 1270-1298页

作者： Kevin S.Miller andrea L.Bertozzi Department of Mathematics University of CaliforniaLos Angeles520 Portola PlazaLos AngelesCA 90095USA

Active learning in semi-supervised classification involves introducing additional labels for unlabelled data to improve the accuracy of the underlying classifier.A challenge is to identify which points to label to best improve performance while limiting the number of new labels."Model Change"active learning quantifies the resulting change incurred in the classifier by introducing the additional label(s).We pair this idea with graph-based semi-supervised learning(SSL)methods,that use the spectrum of the graph Laplacian matrix,which can be truncated to avoid prohibitively large computational and storage *** consider a family of convex loss functions for which the acquisition function can be efficiently approximated using the Laplace approximation of the posterior *** show a variety of multiclass examples that illustrate improved performance over prior state-of-art.

关键词： Active learning Graph-based methods Semi-supervised learning(SSL) Graph Laplacian

Machine and deep learning driven models for the design of heat exchangers with micro-finned tubes

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Energy and AI 2024年第2期16卷 417-437页

作者： Emad Efatinasab Nima Irannezhad Mirco Rampazzo andrea Diani Department of Information Engineering University of PadovaVia Gradenigo 6/bPadova35131PDItaly Department of Industrial Engineering University of PadovaVia Venezia 1Padova35131PDItaly

The design of micro-finned tube heat exchangers is a complex task due to intricate geometry, heat transfer goals, material selection, and manufacturing challenges. Nowadays, mathematical models provide valuable insights, aid in optimization, and allow us to explore various design parameters efficiently. However, existing empirical models often fall short in facilitating an optimal design because of their limited accuracy, sensitivity to assumption, and context dependency. In this scenario, the use of Machine and Deep Learning (ML and DL) methods can enhance accuracy, manage nonlinearity, adjust to varying conditions, decrease dependence on assumptions, automatically extract pertinent features, and provide scalability. Indeed, ML and DL techniques can derive valuable insights from datasets, contributing to a comprehensive understanding. By means of multiple ML and DL methods, this paper addresses the challenge of estimating key parameters in micro-finned tube heat exchangers such as the heat transfer coefficient (HTC) and frictional pressure drop (FPD). The methods have been trained and tested using an experimental dataset consisting of over a thousand data points associated with flow condensation, involving various tube geometries. In this context, the Artificial Neural Network (ANN) demonstrates superior performance in accurately estimating parameters with MAEs in the range below 4.5% for both HTC and FPD. Finally, recognizing the importance of comprehending the internal mechanisms of the black-box ANN model, the paper explores its interpretability aspects.

关键词： Condensation Micro-finned tube Artificial neural network Machine learning Deep learning

A novel low-cost visual ear tag based identification system for precision beef cattle livestock farming

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Information Processing in Agriculture 2024年第1期11卷 117-126页

作者： andrea Pretto Gianpaolo Savio Flaviana Gottardo Francesca Uccheddu Gianmaria Concheri Department of Civil Environmental and Architectural EngineeringUniversity of PaduaItaly Department of Animal Medicine Production and HealthUniversity of PadovaItaly Department of Industrial Engineering University of PadovaItaly

The precision livestock farming(PLF)has the objective to maximize each animal's performance while reducing the environmental impact and maintaining the quality and safety of meat *** the PLF techniques,the personalised management of each individual animal based on sensors systems,represents a viable *** is worth noting that the implementation of an effective PLF approach can be still expensive,especially for small and medium-sized farms;for this reason,to guarantee the sustainability of a customized livestock management system and encourage its use,plug and play and cost-effective systems are *** this context,we present a novel low-cost method for identifying beef cattle and recognizing their basic activities by a single surveillance *** leveraging the current state-of-the-art methods for real-time object detection,(i.e.,YOLOv3)cattle's face areas,we propose a novel mechanism able to detect the ear tag as well as the water ingestion state when the cattle is close to the *** cow IDs are read by an Optical Character Recognition(OCR)algorithm for which,an ad hoc error correction algorithm is here presented to avoid numbers misreading and correctly match the IDs to only actually present *** to the detection of the tag position,the OCR algorithm can be applied only to a specific region of interest reducing the computational cost and the time *** times for the areas are outputted as cattle activity recognition *** results demonstrate the effectiveness of our proposed method,showing a mAP@0.50 of 89%.

关键词： Precision livestock farming Deep learning Cattlei dentification Low-cost sensors Computer vision

Extending OpenStack Monasca for Predictive Elasticity Control

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Big Data Mining and Analytics 2024年第2期7卷 315-339页

作者： Giacomo Lanciano Filippo Galli Tommaso Cucinotta Davide Bacciu andrea Passarella Scuola Normale Superiore Pisa 56126Italy the Real-Time Systems Laboratory(RETIS) TelecommunicationsComputer Engineeringand Photonics Institute(TeCIP)Scuola Superiore Sant’AnnaPisa 56127Italy Department of Computer Science University of PisaPisa 56127Italy National Research Council Pisa56127Italy

Traditional auto-scaling approaches are conceived as reactive automations,typically triggered when predefined thresholds are breached by resource consumption *** such rules at scale is cumbersome,especially when resources require non-negligible time to be *** paper introduces an architecture for predictive cloud operations,which enables orchestrators to apply time-series forecasting techniques to estimate the evolution of relevant metrics and take decisions based on the predicted state of the *** this way,they can anticipate load peaks and trigger appropriate scaling actions in advance,such that new resources are available when *** proposed architecture is implemented in OpenStack,extending the monitoring capabilities of Monasca by injecting short-term forecasts of standard *** use our architecture to implement predictive scaling policies leveraging on linear regression,autoregressive integrated moving average,feed-forward,and recurrent neural networks(RNN).Then,we evaluate their performance on a synthetic workload,comparing them to those of a traditional *** assess the ability of the different models to generalize to unseen patterns,we also evaluate them on traces from a real content delivery network(CDN)*** particular,the RNN model exhibites the best overall performance in terms of prediction error,observed client-side response latency,and forecasting *** implementation of our architecture is open-source.

关键词： OpenStack monitoring elasticity control auto-scaling predictive operations Monasca

Biomaterial engineering strategies for modeling the Bruch's membrane in age-related macular degeneration

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Neural Regeneration Research 2024年第12期19卷 2626-2636页

作者： Blanca Molins andrea Rodríguez Víctor Llorenç Alfredo Adán Group of Ocular Inflammation:Clinical and Experimental Studies Institut d’Investigacions Biomèdiques AgustíPi I Sunyer(IDIBAPS)BarcelonaSpain Institut Clínic d’Oftalmologia(ICOF) Hospital Clínic BarcelonaSpain

Age-related macular degeneration,a multifactorial inflammatory degenerative retinal disease,ranks as the leading cause of blindness in the ***,there is a scarcity of curative therapies,especially for the atrophic advanced form of age-related macular degeneration,likely due to the lack of models able to fully recapitulate the native structure of the outer blood retinal barrier,the prime to rget tissue of age-related macular *** in vitro systems rely on 2D monocultures unable to adequately reproduce the structure and function of the outer blood retinal barrier,integrated by the dynamic interaction of the retinal pigment epithelium,the Bruch's membrane,and the underlying *** Bruch's membrane provides structu ral and mechanical support and regulates the molecular trafficking in the outer blood retinal barrier,and therefo re adequate Bruch's membrane-mimics are key for the development of physiologically relevant models of the outer blood retinal barrie *** the last years,advances in the field of biomaterial engineering have provided novel approaches to mimic the Bruch's membrane from a variety of *** review provides a discussion of the integrated properties and function of outer blood retinal barrier components in healt hy and age-related macular degeneration status to understand the requirements to adequately fabricate Bruch's membrane biomimetic ***,we discuss novel materials and techniques to fabricate Bruch's membrane-like scaffolds for age-related macular degeneration in vitro modeling,discussing their advantages and challenges with a special focus on the potential of Bruch's membrane-like mimics based on decellularized tissue.

关键词： age-related macular degeneration Bruch's membrane decellularization retinal pigment epithelium scaffold

Insight into endoplasmic reticulum-mitochondria contacts in human amyotrophic lateral sclerosis

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Neural Regeneration Research 2024年第7期19卷 1407-1408页

作者： Naomi Hartopp andrea Markovinovic Christopher CJ Miller Patricia Gomez-Suaga Sheffield Institute for Translational Neuroscience University of SheffieldSheffieldUK Department of Basic and Clinical Neuroscience Institute of PsychiatryPsychology and NeuroscienceLondonUK Universidad de Extremadura.Departamento de Bioquímica y Biología Molecular y Genética Facultad de Enfermería y Terapia OcupacionalCáceresSpain Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos Ⅲ(CIBER-CIBERNED-ISCⅢ) MadridSpain Instituto Universitario de Investigación Biosanitaria de Extremadura(INUBE) CáceresSpain

Amyotrophic lateral sclerosis(ALS) is a fastprogressing fatal neurodegenerative disease and the most common form of motor neuron *** is currently no cure and approximately 90% of cases are *** shares genetic causes,clinical and neuropathological features with frontotemporal dementia,the second most common form of presenile *** and frontotemporal dementia are therefore considered a disease spectrum(Abramzon et al.,2020).

关键词： senile sclerosis

High risk of thrombosis recurrence in people with idiopathic or only locally caused non-cirrhotic splanchnic vein thrombosis: it is time for guidelines’ revision

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Hepatobiliary Surgery and Nutrition 2024年第4期13卷 699-702页

作者： Massimo Primignani Giulia Tosetti andrea Artoni Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico–SC Gastroenterologia ed Epatologia MilanItaly Angelo Bianchi Bonomi Hemophilia and Thrombosis Center Fondazione IRCCS Ca'Granda Ospedale Maggiore PoliclinicoMilanItaly

Portal hypertension caused by non-cirrhotic(and non neoplastic)splanchnic vein thrombosis(NC-SVT)is responsible for 5–10%of portal hypertension cases in the western world(1).Chronic myeloproliferative neoplasms(MPN)or systemic prothrombotic disorders are in cause in about 40%of subjects,while in about 30%a local condition,such as recent abdominal surgery or infection/inflammation triggers the *** local condition,however,can only be the precipitating cause,since a thorough screening allows identifying the co-occurrence of systemic thrombophilia in about 30%of such ***,screening is mandatory even in cases where the cause of NC-SVT seems ***,about 30%of cases of NC-SVT remains unexplained and defined idiopathic(1).

关键词： Non-cirrhotic splanchnic vein thrombosis factor VIII thrombosis recurrence