Machine learning based prediction model for bile leak following hepatectomy for liver cancer.

Objective: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.

Methods: An eXtreme Gradient Boosting (XGBoost) model was developed to predict post-hepatectomy bile leak using data from the ACS-NSQIP database. The model was externally validated using data from hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) multi-institutional databases.

Reliability of the OMERACT Giant cell arteritis Ultrasonography Score (OGUS): results of a patient-based exercise involving experts and non-experts in vascular ultrasonography.

Objective: To test the reliability of the Outcome Measures in Rheumatology Giant cell arteritis (GCA) Ultrasonography Score (OGUS) and other composite scores in a patient-based exercise involving experts and non-experts in vascular ultrasonography.

Methods: Six GCA patients were scanned twice (two rounds separated ≥3 hours) by 12 experts and 12 non-experts. Non-experts received 90 min of theoretical and 240 min of practical training between rounds 1 and 2.

Sucking blister in a newborn: atypical localisation.

A meticulous examination of the oral cavity is an essential part of the initial newborn assessment. The differential diagnosis can involve benign and self-limiting lesions to those lesions compromising quality of life. We present a clinical case of a newborn born with a purple, hard tumour on the hard palate that spontaneously regressed, being thus compatible with the case of a sucking blister.

EDENT1FI Master Protocol for screening of presymptomatic early-stage type 1 diabetes in children and adolescents.

Introduction: The identification of type 1 diabetes at an early presymptomatic stage has clinical benefits. These include a reduced risk of diabetic ketoacidosis (DKA) at the clinical manifestation of the disease and a significant reduction in clinical symptoms. The European action for the Diagnosis of Early Non-clinical Type 1 diabetes For disease Interception (EDENT1FI) represents a pioneering effort to advance early detection of type 1 diabetes through public health screening.

Behind the scenes of EQA - characteristics, capabilities, benefits and assets of external quality assessment (EQA).

External quality assessment (EQA) enhances patient safety through the evaluation of the quality of laboratory-based and point of care testing. Regulatory agencies and accreditation organizations utilize the results and the laboratory's response to them as part of assessing the laboratory's fitness to practice. In addition, where EQA samples are commutable and the assigned value has been determined using reference measurement procedures (RMPs), EQA data contributes to the verification of metrological traceability of assays as part of the post-market surveillance of diagnostic (IVD) medical devices (IVD-MDs).

The impact on productivity costs of reducing unemployment in patients with advanced breast cancer: A model estimation based on a Portuguese nationwide observational study.

This study aimed to characterize the employment status and work-related conditions of patients with advanced breast cancer (ABC) in Portugal and quantify the productivity costs of premature abandonment of the work market while evaluating strategies to promote employment. The analysis was based on a cumulative incidence model for estimation of ABC prevalence and on a cross-sectional study characterizing the employment status of patients with ABC. This study was conducted in Portuguese hospitals, between Nov2021-Dec2022 and included patients diagnosed with ABC for at least 6 months, aged 66 or less and consenting for a self-answered questionnaire regarding work status.

AI-driven participatory environmental management: Innovations, applications, and future prospects.

The rapid advancement of Artificial Intelligence (AI) presents unprecedented opportunities for participatory environmental management. This paper explores the integration of AI technologies into participatory approaches, which engage diverse stakeholders in environmental decision-making processes. Using artificial intelligence, a corpus of 80 papers was compiled and subsequently analyzed with text mining tools.

Soil quality under rotational and conventional grazing in Mediterranean areas at desertification risk.

Rotational grazing (RG) could be a valid alternative to continuous grazing (CG) in Mediterranean extensive pastures to fight land degradation. This study aimed to compare soil quality under RG and CG management, in paired RG-CG Portuguese pasture areas under strong aridity stress, with RG sites converted from CG management in 2018. Soils were sampled in 2022, at 10 cm depth, over 71 ha of RG and 37 ha of CG pastures, subdivided in 16 and 10 sampling plots, respectively.

Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

Impact of offensive-reward rules on young basketball players' performance during small-sided games.

This study aimed to investigate the impact of different offensive-reward-related rules on the physical performance, perceived exertion and enjoyment of young basketball players during small-sided games (SSG). Eighteen youth male players (age: 13.3±0.

Co-delivery of antioxidants and siRNA-VEGF: promising treatment for age-related macular degeneration.

Current treatments for retinal disorders are anti-angiogenic agents, laser photocoagulation, and photodynamic therapies. These conventional treatments focus on reducing abnormal blood vessel formation in the retina, which, in a low-oxygen environment, can lead to harmful proliferation of endothelial cells. This results in dysfunctional, leaky blood vessels that cause retinal edema, hemorrhage, and vision loss.

Basic Science and Pathogenesis.

Background: Alzheimer's disease (AD), an untreatable synaptic disorder, is the most frequent cause of dementia. It is still unclear which mechanisms drive the early synapse dysfunction in the most common late-onset AD (LOAD). The second most important LOAD risk gene identified, BIN1, is an endocytic regulator.

Clinical Manifestations.

Background: Speech and language impairments are associated with cognitive decline in neurodegenerative dementias, particularly Alzheimer's Disease (AD), where subtle speech changes may precede clinical dementia onset. As clinical trials prioritize early identification for disease-modifying treatments, digital biomarkers for timely screening become imperative. Digital speech-based biomarkers can be employed for screening populations at the earliest AD stages.

The Relationship of HbA1c Serum Levels with the Severity of Periodontal Disease in Patients with Type 1 Diabetes Mellitus: A Cross-Sectional Study.

Objective:  According to the evidence, the level of glycemic control is of key importance in determining the increased risk of periodontal disease (PD). The aim of the study was to evaluate the role of metabolic control as a key factor leading to the development and severity of periodontitis and compare the periodontal and oral hygiene status with the glycated hemoglobin levels.

Materials And Methods:  The evaluation was undertaken with diabetic patients (59 uncontrolled diabetics and 36 controlled diabetics) from a patient cohort of the Hospitalar Center of Tâmega e Sousa and subjects without diabetes ( = 95).

Clinical Manifestations.

Background: Previous findings evaluating longitudinal cognition in relation to the MeDi diet are inconsistent, and few studies have examined it in relation to the presence/absence of subjective cognitive decline (SCD). Our current aims are to test whether adherence to the MeDi diet is associated with the risk of clinical progression, future cognitive decline, and atrophy over time in Alzheimer's disease (AD)-sensitive regions in cognitively unimpaired (CU) older adults with or without SCD.

Methods: This longitudinal study includes 171 controls and 228 SCD patients recruited from memory clinics in the DELCODE study.

Digital Feedback Loop in Paraxial Fluids of Light: A Gate to New Phenomena in Analog Physical Simulations.

Easily accessible through tabletop experiments, paraxial fluids of light are emerging as promising platforms for the simulation and exploration of quantumlike phenomena. In particular, the analogy builds on a formal equivalence between the governing model for a Bose-Einstein condensate under the mean-field approximation and the model of laser propagation inside nonlinear optical media under the paraxial approximation. Yet, the fact that the role of time is played by the propagation distance in the analog system imposes strong bounds on the range of accessible phenomena due to the limited length of the nonlinear medium.

Clinical Manifestations.

Background: The identification of cognitively unimpaired individuals at risk of short-term cognitive decline is a critical task for Alzheimer´s disease (AD) research. Cognitively normal individuals with amyloid and/or tau pathology have a high risk for short-term cognitive decline. However, not all of these individuals show clinical progression.

A critical review of microplastics characterisation in aquatic environments: recent trends in the last 10 years.

Anthropogenic activities have introduced various contaminants into freshwater and marine ecosystems. Microplastics (MPs) are persistent and ubiquitous contaminants threatening natural ecosystems and impairing organisms at different biological levels of organization. Their durability and degradation rate pose a great concern in the scientific community, and thus, several techniques have been used to detect MPs effectively.

Novel anticancer drug discovery efforts targeting glycosylation: the emergence of fluorinated monosaccharides analogs.

Introduction: Glycosylation is an essential enzymatic process of building glycan structures that occur mainly within the cell and gives rise to a diversity of cell surface and secreted glycoconjugates. These glycoconjugates play vital roles, for instance in cell-cell adhesion, interaction and communication, activation of cell surface receptors, inflammatory response and immune recognition. This controlled and well-coordinated enzymatic process is altered in cancer, leading to the biosynthesis of cancer-associated glycans, which impact glycan-dependent biological roles.

Comparative analysis of the microbiome composition of artisanal cheeses produced in the Mediterranean area.

In the PRIMA project ArtiSaneFood, the microbiological parameters of several artisanal cheeses produced in the Mediterranean area have been quantified. In this pilot study, we selected four of these artisanal cheese products from Italy, Portugal, Spain, and Morocco to investigate and compare their microbiomes in terms of taxonomic composition, presence of reads of foodborne pathogens, as well as virulence and antimicrobial resistance genes. , and were the most represented genera in the Portuguese and Spanish cheeses, in the Italian cheese, and , , , and in the Moroccan products.