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Study Design: Prospective cohort study.

Objective: This study aims to define Substantial Clinical Benefit (SCB) thresholds for PROMIS physical function (PF) and pain interference (PI) in lumbar or thoracolumbar spine surgery population.

Summary Of Background Data: Patient-reported outcome measures (PROMs) are widely used in spine surgery to assess treatment efficacy.

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Crystallography of quasiperiodic moiré patterns in homophase twisted bilayers.

Acta Crystallogr A Found Adv

March 2025

CNRS UMR 8247, Institut de Recherche de Chimie ParisTech, 11 rue Pierre et Marie Curie, 75005 Paris, France.

This paper discusses the geometric properties and symmetries of general moiré patterns generated by homophase bilayers twisted by rotation 2δ. These patterns are generically quasiperiodic of rank 4 and result from the interferences between two basic periodicities incommensurate to each other, defined by the sites in the layers that are kept invariant through the symmetry operations of the structure. These invariant sites are distributed on the nodes of a set of lattices called Φ-lattices - where Φ runs on the rotation operations of the symmetry group of the monolayers - which are the centers of rotation 2δ + Φ transforming a lattice node of the first layer into a node of the second.

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Pathogenesis and regenerative therapy in vitiligo and alopecia areata: focus on hair follicle.

Front Med (Lausanne)

January 2025

Department of Dermatology, Institute of Regenerative Medicine, Affiliated Hospital of Jiangsu University, Zhenjiang, China.

Vitiligo is an autoimmune disease characterized by the loss of functional melanocytes in the hair follicles and epidermis, leading to white patches on the skin and mucous membranes. Alopecia areata (AA) is a common immune-mediated condition in which autoimmune attack on hair follicles cause non-scarring hair loss. Both diseases significantly impact patients's physical and mental health.

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A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic control during maneuver. RS-DDPG algorithm is based on deep reinforcement learning (DRL) and designs a reward function to optimize the parameters of DDPG to achieve the required tracking accuracy and stability. A visual SLAM algorithm based on semantic segmentation and geometric information is proposed to address the issues of poor robustness and susceptibility to interference from dynamic objects in dynamic scenes for SLAM based on visual sensors.

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Background: Non-communicable diseases (NCDs), known as chronic diseases, significantly impact patients' quality of life (QoL) and increase medical expenses. The majority of risk factors are modifiable, and metabolomics has been suggested as a promising strategy for their evaluation, though real-world data are scarce. This study evaluated the QoL improvement and cost-effectiveness of a metabolomics-based treatment for NCDs, aiming to restore metabolic dysfunctions and nutritional deficiencies.

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