The association of red blood cell transfusion with mortality in pediatric patients with sepsis, severe sepsis, and septic shock: A single-center retrospective cohort study.

Background/objectives: Pediatric patients with sepsis are frequently subjected to red blood cell (RBC) transfusions but yet its association with mortality is still controversial.

Methods: We consecutively selected 125 patients with sepsis, severe sepsis, and septic shock admitted to intensive care unit (ICU) in our center from January 2022 to January 2023, and finally 100 patients were included in this retrospective cohort study. The patients were divided into two groups: group I who received RBC transfusion and group II who did not receive RBC transfusion.

Treatment efficacy and patient satisfaction of ustekinumab compared with tumor necrosis factor-alpha inhibitors in Chinese patients with moderate-to-severe psoriasis: a real-world study.

Background: Ustekinumab is an interleukin (IL)-12/IL-23 inhibitor for the treatment of moderate-to-severe psoriasis.

Objective: This real-world study compared ustekinumab and tumor necrosis factor-alpha inhibitors (TNFis) in Chinese moderate-to-severe psoriasis patients.

Methods: Patient health records of 110 moderate-to-severe psoriasis patients initiating or switching biologics were reviewed, with 31 patients receiving ustekinumab (ustekinumab group) and 79 patients receiving TNFis (TNFi group).

Blood MALT1 expression could help predict treatment outcomes in psoriasis patients, especially in those receiving biologics.

Introduction: Mucosa-associated lymphoid tissue 1 (MALT1) modulates T helper cell differentiation, pro-inflammatory cytokine production, and epidermal hyperplasia to participate in the pathology of psoriasis. This study aimed to explore the correlation of blood MALT1 with treatment outcomes in psoriasis patients.

Methods: MALT1 was detected in peripheral blood mononuclear cells by reverse transcription-quantitative polymerase chain reaction in 210 psoriasis patients before starting or converting to a new therapy, 50 disease controls, and 50 healthy controls.

Rebalanced Zero-Shot Learning.

Zero-shot learning (ZSL) aims to identify unseen classes with zero samples during training. Broadly speaking, present ZSL methods usually adopt class-level semantic labels and compare them with instance-level semantic predictions to infer unseen classes. However, we find that such existing models mostly produce imbalanced semantic predictions, i.

Analysis of Prognostic Factors in Osteoporotic Patients Who Were Treated with Percutaneous Vertebroplasty for Refracture After Vertebral Augmentation.

Objective: To retrospectively analyze prognostic factors in osteoporotic patients who treated with percutaneous vertebroplasty for refracture after vertebral augmentation.

Methods: A retrospective analysis was performed of 61 patients with refractures after vertebral augmentation who received percutaneous vertebroplasty treatment again from January 2019 to December 2021. Based on the presence of back pain at the last follow-up, 17 patients were placed in the pain group, and 44 patients were placed in the pain-free group.

[Serological Diagnosis and Clinical Data Analysis of Neonatal Alloimmune Thrombocytopenia].

Objective: To investigate the pathogenesis and clinical diagnosis of fetal/neonatal alloimmune thrombocytopenia (FNAIT) and analyze the laboratory test results and clinical data related to the disease, so as to provide reference for clinical treatment and improvement of prognosis.

Methods: The clinical data of six neonatal patients with FNAIT in the Neonatology Department of our hospital from March 2017 to September 2020 were retrospectively analyzed, which included laboratory diagnosis, clinical symptoms, treatment, and prognosis.

Results: Among six patients, two cases occurred in the first pregnancy and four cases in the second pregnancy.

Stochastic Conjugate Gradient Algorithm With Variance Reduction.

Conjugate gradient (CG) methods are a class of important methods for solving linear equations and nonlinear optimization problems. In this paper, we propose a new stochastic CG algorithm with variance reduction and we prove its linear convergence with the Fletcher and Reeves method for strongly convex and smooth functions. We experimentally demonstrate that the CG with variance reduction algorithm converges faster than its counterparts for four learning models, which may be convex, nonconvex or nonsmooth.

Correction to: Graphical Representation and Similarity Analysis of DNA Sequences Based on Trigonometric Functions.

In the original publication of the article, the y axis labels present in Figs. 1a and 2a are incorrect. The correct Figs.

Graphical Representation and Similarity Analysis of DNA Sequences Based on Trigonometric Functions.

In this paper, we propose two four-base related 2D curves of DNA primary sequences (termed as F-B curves) and their corresponding single-base related 2D curves (termed as A-related, G-related, T-related and C-related curves). The constructions of these graphical curves are based on the assignments of individual base to four different sinusoidal (or tangent) functions; then by connecting all these points on these four sinusoidal (tangent) functions, we can get the F-B curves; similarly, by connecting the points on each of the four sinusoidal (tangent) functions, we get the single-base related 2D curves. The proposed 2D curves are all strictly non degenerate.

Hierarchical Morphology-Dependent Gas-Sensing Performances of Three-Dimensional SnO Nanostructures.

Hierarchical morphology-dependent gas-sensing performances have been demonstrated for three-dimensional SnO nanostructures. First, hierarchical SnO nanostructures assembled with ultrathin shuttle-shaped nanosheets have been synthesized via a facile and one-step hydrothermal approach. Due to thermal instability of hierarchical nanosheets, they are gradually shrunk into cone-shaped nanostructures and finally deduced into rod-shaped ones under a thermal treatment.

Porous and single-crystalline ZnO nanobelts: fabrication with annealing precursor nanobelts, and gas-sensing and optoelectronic performance.

Porous and single-crystalline ZnO nanobelts have been prepared through annealing precursors of ZnSe · 0.5N2H4 well-defined and smooth nanobelts, which have been synthesized via a simple hydrothermal method. The composition and morphology evolutions with the calcination temperatures have been investigated in detail for as-prepared precursor nanobelts, suggesting that they can be easily transformed into ZnO nanobelts by preserving their initial morphology via calcination in air.