Reply to Wei Qi's letter to the editor about "Preoperative proteinuria correlates with renal function after partial nephrectomy for renal cell carcinoma".

In this Letter, we respond to Wei Qi's Letter to the editor regarding our paper, "Preoperative proteinuria correlates with renal function after partial nephrectomy for renal cell carcinoma" (World Journal of Urology, 2024), addressing the concerns raised with the aim of clarifying the potential benefits of our findings in clinical practice.

Preoperative proteinuria correlates with renal function after partial nephrectomy for renal cell carcinoma.

Purpose: Preoperative proteinuria is a prognostic factor of chronic kidney disease (CKD). We assessed the association between preoperative proteinuria and postoperative renal function after partial nephrectomy (PN).

Methods: We retrospectively reviewed our records of patients with a single malignant renal mass who underwent PN between 2000 and 2021.

Adjunctive use of oral MAF is associated with no disease progression or mortality in hospitalized patients with COVID-19 pneumonia: The single-arm COral-MAF1 prospective trial.

Based on a growing body of evidence that a dysregulated innate immune response mediated by monocytes/macrophages plays a key role in the pathogenesis of COVID-19, a clinical trial was conducted to investigate the therapeutic potential and safety of oral macrophage activating factor (MAF) plus standard of care (SoC) in the treatment of hospitalized patients with COVID-19 pneumonia. Ninety-seven hospitalized patients with confirmed COVID-19 pneumonia were treated with oral MAF and a vitamin D3 supplement, in combination with SoC, in a single-arm, open label, multicentre, phase II clinical trial. The primary outcome measure was a reduction in an intensive care unit transfer rate below 13% after MAF administration.

Constraining functional coactivation with a cluster-based structural connectivity network.

In this article, we propose a two-step pipeline to explore task-dependent functional coactivations of brain clusters with constraints from the structural connectivity network. In the first step, the pipeline employs a nonparametric Bayesian clustering method that can estimate the optimal number of clusters, cluster assignments of brain regions of interest (ROIs), and the strength of within- and between-cluster connections without any prior knowledge. In the second step, a factor analysis model is applied to functional data with factors defined as the obtained structural clusters and the factor structure informed by the structural network.

The quest for simplicity in human learning: Identifying the constraints on attention.

For better or worse, humans live a resource-constrained existence; only a fraction of physical sensations ever reach conscious awareness, and we store a shockingly small subset of these experiences in memory for later use. Here, we examined the effects of attention constraints on learning. Among models that frame selective attention as an optimization problem, attention orients toward information that will reduce errors.

As within, so without, as above, so below: Common mechanisms can support between- and within-trial category learning dynamics.

Two fundamental difficulties when learning novel categories are deciding (a) what information is relevant and (b) when to use that information. Although previous theories have specified how observers learn to attend to relevant dimensions over time, those theories have largely remained silent about how attention should be allocated on a within-trial basis, which dimensions of information should be sampled, and how the temporal order of information sampling influences learning. Here, we use the adaptive attention representation model (AARM) to demonstrate that a common set of mechanisms can be used to specify: (a) How the distribution of attention is updated between trials over the course of learning and (b) how attention dynamically shifts among dimensions within a trial.

Concentration, Propagation and Dilution of Toxic Gases in Underground Excavations under Different Ventilation Modes.

The drill-and-blast method is widely used for the excavation of hard rock tunnels. Toxic gases such as carbon monoxide and nitrogen oxides are released immediately after blasting by the detonation of explosives. To provide a safe working environment, the concentration of noxious gases must be reduced below the threshold limit value according to health and safety regulations.

Distributed Neural Systems Support Flexible Attention Updating during Category Learning.

To accurately categorize items, humans learn to selectively attend to the stimulus dimensions that are most relevant to the task. Models of category learning describe how attention changes across trials as labeled stimuli are progressively observed. The Adaptive Attention Representation Model (AARM), for example, provides an account in which categorization decisions are based on the perceptual similarity of a new stimulus to stored exemplars, and dimension-wise attention is updated on every trial in the direction of a feedback-based error gradient.

Internal Modifications to Optimize Pollution and Emissions of Internal Combustion Engines through Multiple-Criteria Decision-Making and Artificial Neural Networks.

The present work proposes several modifications to optimize both emissions and consumption in a commercial marine diesel engine. A numerical model was carried out to characterize the emissions and consumption of the engine under several performance parameters. Particularly, five internal modifications were analyzed: water addition; exhaust gas recirculation; and modification of the intake valve closing, overlap timing, and cooling water temperature.

Diagnostic issues faced by a rare disease healthcare network during Covid-19 outbreak: data from the Campania Rare Disease Registry.

Background: The aims of this study were: to investigate the capacity of the rare disease healthcare network in Campania to diagnose patients with rare diseases during the outbreak of Covid-19; and to shed light on problematic diagnoses during this period.

Methods: To describe the impact of the Covid-19 pandemic on the diagnosis of patients with rare diseases, a retrospective analysis of the Campania Region Rare Disease Registry was performed. A tailored questionnaire was sent to rare disease experts to investigate major issues during the emergency period.

Dalbavancin for infective endocarditis: a single centre experience.

Infective endocarditis (IE) is a life-threatening disease, mostly caused by gram-positive cocci, needing a 4-6 weeks antibiotic course. Dalbavancin is a lipoglycopeptide active on gram-positive microorganisms, with a unique pharmacokinetic profile. We describe our experience with dalbavancin to complete the intravenous antibiotic regimen for difficult-to-treat IE cases due to gram-positive bacteria.

A prospective open-label trial of long-acting liquid methylphenidate for the treatment of attention deficit/hyperactivity disorder in intellectually capable adults with autism spectrum disorder.

This treatment trial is aimed at assessing the short-term tolerability and efficacy of liquid-formulation extended-release methylphenidate (MPH-ER) for the treatment of attention deficit/hyperactivity disorder (ADHD) in adults with high-functioning autism spectrum disorder (HF-ASD). A 6-week open-label trial (ClinicalTrials.gov: NCT02096952) was conducted in 15 HF-ASD adults (mean age 24.

Variational Bayesian methods for cognitive science.

Bayesian inference has become a powerful and popular technique for understanding psychological phenomena. However, compared with frequentist statistics, current methods employing Bayesian statistics typically require time-intensive computations, often hindering our ability to evaluate alternatives in a thorough manner. In this article, we advocate for an alternative strategy for performing Bayesian inference, called variational Bayes (VB).

Predictive utility of autistic traits in youth with ADHD: a controlled 10-year longitudinal follow-up study.

The objective of this study was to investigate the stability and predictive utility of autistic traits (ATs) in youth with attention-deficit/hyperactivity disorder (ADHD). Participants were referred youth with and without ADHD, without a diagnosis of autism spectrum disorder, and their siblings, derived from identically designed longitudinal case-control family studies of boys and girls with ADHD. Subjects were assessed with structured diagnostic interviews and measures of social, cognitive, and educational functioning.

A Retrospective Chart Review of Buspirone for the Treatment of Anxiety in Psychiatrically Referred Youth with High-Functioning Autism Spectrum Disorder.

Objectives: Anxiety disorders (ADs) are commonly associated with high-functioning Autism Spectrum Disorder (HF-ASD) and often worsen with age. Buspirone is a commonly prescribed anxiolytic drug with a favorable tolerability profile that may offer potential benefits in anxiety management for patients with HF-ASD. This study examines inadequately explored tolerability and effectiveness of buspirone in treating ADs comorbid with high-functioning ASD.

A study of the neuropsychological correlates in adults with high functioning autism spectrum disorders.

Objective: To examine the unique neuropsychological presentation in adults with high functioning autism spectrum disorders (HF-ASD) by comparison with adults with attention deficit hyperactivity disorder (ADHD).

Methods: Adults with ASD referred to a specialty clinic (n=26) were compared to two non-ASD groups with (n=52) and without (n=52) ADHD of similar age and sex.

Results: No differences in IQ were found.

Symptom Profile of ADHD in Youth With High-Functioning Autism Spectrum Disorder: A Comparative Study in Psychiatrically Referred Populations.

Objective: To compare the clinical presentation of ADHD between youth with autism spectrum disorder (ASD) and ADHD and a sample of youth with ADHD only.

Method: A psychiatrically referred sample of autism spectrum disorder (ASD) youth with ADHD attending a specialized ambulatory program for ASD ( n = 107) and a sample of youth with ADHD attending a general child psychiatry ambulatory clinic ( n = 74) were compared.

Results: Seventy-six percent of youth with ASD met Diagnostic and Statistical Manual of Mental Disorders (4th ed.

Examining the clinical correlates of autism spectrum disorder in youth by ascertainment source.

To examine whether presentation of autism spectrum disorder (ASD) and associated patterns of psychiatric comorbidity and dysfunction vary by referral source. ASD youth referred to a specialized ambulatory program for ASD (N = 143) were compared to ASD youth referred to a general child psychiatry clinic (N = 217). More ASD clinic youth met criteria for a more robust form of ASD (autistic disorder); more youth referred to the psychiatry clinic met criteria for broader spectrum ASD (pervasive developmental disorder not otherwise specified).

Dehydroepiandrosterone biosynthesis, role, and mechanism of action in the developing neural tube.

Dehydroepiandrosterone (DHEA) is synthesized from cholesterol by activity of P450scc and P450c17, enzymes that we previously characterized in the developing nervous system. We describe the localization of P450c17 in the differentiated field of the ventral spinal cord in different motor neuron subtypes. We show that, during organogenesis, P450c17 activity is regulated along the antero/posterior axis of the spinal cord concomitantly with the gradient of neurogenesis.

Discriminant and concurrent validity of a simplified DSM-based structured diagnostic instrument for the assessment of autism spectrum disorders in youth and young adults.

Background: To evaluate the concurrent and discriminant validity of a brief DSM-based structured diagnostic interview for referred individuals with autism spectrum disorders (ASDs).

Methods: To test concurrent validity, we assessed the structured interview's agreement in 123 youth with the expert clinician assessment and the Social Responsiveness Scale (SRS). Discriminant validity was examined using 1563 clinic-referred youth.

Response to second generation antipsychotics in youth with comorbid bipolar disorder and autism spectrum disorder.

Objective: To assess the impact of comorbid autism spectrum disorders (ASD) on the response to second-generation antipsychotics (SGA) in pediatric bipolar disorder (BPD).

Methods: Secondary analysis of identically designed 8-week open-label trials of SGA monotherapy (risperidone, olanzapine, quetiapine, ziprasidone, or aripiprazole) in youth with BPD.

Results: Of the 151 BPD subjects 15% (n= 23) met criteria for comorbid ASD.