Graded Anterior Partial-thickness Blepharotomy for the Correction of Idiopathic Unilateral Upper Eyelid Retraction: A Case Report and Literature Review.

Idiopathic upper eyelid retraction is a rare ocular symptom characterized by abnormal upward displacement of the upper eyelid, often without any identifiable systemic disease. This condition not only affects the patient's appearance but may also have a certain impact on their daily life and mental health. We report a case of adult idiopathic unilateral upper eyelid retraction, and based on the patient's specific condition, we used graded anterior plate blepharoplasty for treatment.

Comparative Analysis of the Diagnostic Value of S-Detect Technology in Different Planes Versus the BI-RADS Classification for Breast Lesions.

Rationale And Objectives: S-Detect, a deep learning-based Computer-Aided Detection system, is recognized as an important tool for diagnosing breast lesions using ultrasound imaging. However, it may exhibit inconsistent findings across multiple imaging planes. This study aims to evaluate the diagnostic performance of S-Detect in different planes and identify factors contributing to these inconsistencies.

The Orbicularis Oculi Muscle Sparing Full-Incision Double-Eyelid Blepharoplasty.

Background: Double-eyelid blepharoplasty was the most prevailing cosmetic procedures in China. To reduce the visible scar and unnatural crease after the removal of the OOM in the traditional full-incision double-eyelid technique. This research tried to introduce and promote the orbicularis oculi muscle sparing full-incision double-eyelid blepharoplasty with more conservative resection of upper eyelid soft tissue.

Photo-Assisted Anthropometric Analysis of Double Eyelid Blepharoplasty in Young Chinese.

Background: Double eyelid blepharoplasty has gained popularity over decades among Asians. Quantitative assessment of the morphologic changes after double eyelid blepharoplasty remains obscure. A photo-assisted digital method was introduced to measure the outcomes of double eyelid surgery in young Chinese.

Comparative Effectiveness of Digital Cognitive Behavioral Therapy vs Medication Therapy Among Patients With Insomnia.

Importance: Although digital cognitive behavioral therapy for insomnia (dCBT-I) has been studied in many randomized clinical trials and is recommended as a first-line treatment option, few studies have systematically examined its effectiveness, engagement, durability, and adaptability in clinical settings.

Objective: To evaluate the clinical effectiveness, engagement, durability, and adaptability of dCBT-I.

Design, Setting, And Participants: This retrospective cohort study was conducted using longitudinal data collected via a mobile app named Good Sleep 365 between November 14, 2018, and February 28, 2022.

Knowledge-aware patient representation learning for multiple disease subtypes.

Learning latent representations of patients with a target disease is a core problem in a broad range of downstream applications, such as clinical endpoint prediction. The suffering of patients may have multiple subtypes with certain similarities and differences, which need to be addressed for learning effective patient representation to facilitate the downstream tasks. However, existing studies either ignore the distinction of disease subtypes to learn disease-level representations, or neglect the correlations between subtypes and only learn disease subtype-level representations, which affects the performance of patient representation learning.

Unifying Diagnosis Identification and Prediction Method Embedding the Disease Ontology Structure From Electronic Medical Records.

Objective: The reasonable classification of a large number of distinct diagnosis codes can clarify patient diagnostic information and help clinicians to improve their ability to assign and target treatment for primary diseases. Our objective is to identify and predict a unifying diagnosis (UD) from electronic medical records (EMRs).

Methods: We screened 4,418 sepsis patients from a public MIMIC-III database and extracted their diagnostic information for UD identification, their demographic information, laboratory examination information, chief complaint, and history of present illness information for UD prediction.

An evaluation of time series summary statistics as features for clinical prediction tasks.

Background: Clinical prediction tasks such as patient mortality, length of hospital stay, and disease diagnosis are highly important in critical care research. The existing studies for clinical prediction mainly used simple summary statistics to summarize information from physiological time series. However, this lack of statistics leads to a lack of information.

Corrigendum to "Effects of Combined Use of Ultrasonic Bone Scalpel and Hemostatic Matrix on Perioperative Blood Loss and Surgical Duration in Degenerative Thoracolumbar Spine Surgery".

[This corrects the article DOI: 10.1155/2019/6286258.].

Effects of Combined Use of Ultrasonic Bone Scalpel and Hemostatic Matrix on Perioperative Blood Loss and Surgical Duration in Degenerative Thoracolumbar Spine Surgery.

How to decrease intraoperative bleeding, shorten surgical time, and increase safety in spinal surgery is an important issue. Ultrasonic bone removers and FloSeal have been proven to increase safety, reduce the surgical duration, and decrease intraoperative bleeding in skull base surgery. Therefore, we aimed to compare the surgical duration, blood loss, and complications during spinal surgery with or without the use of FloSeal and an ultrasonic bone scalpel.

Electrically and optically readable light emitting memories.

Electrochemical metallization memories based on redox-induced resistance switching have been considered as the next-generation electronic storage devices. However, the electronic signals suffer from the interconnect delay and the limited reading speed, which are the major obstacles for memory performance. To solve this problem, here we demonstrate the first attempt of light-emitting memory (LEM) that uses SiO2 as the resistive switching material in tandem with graphene-insulator-semiconductor (GIS) light-emitting diode (LED).

A facile integration of zero- (I-III-VI quantum dots) and one- (single SnO2 nanowire) dimensional nanomaterials: fabrication of a nanocomposite photodetector with ultrahigh gain and wide spectral response.

Via the integration of nanocomposites comprising I-III-VI semiconductor quantum dots (QDs) decorated onto a single SnO2 nanowire (NW), we successfully fabricate an ultrahigh-sensitivity and wide spectral-response photodetector. Under the illumination of He-Cd laser (325 nm) with the photon energy larger than the band gap of SnO2 nanowire, remarkably, an ultrahigh photocurrent gain up to 2.5 × 10(5) has been achieved, and an enhancement factor can reach up to 700% (cf.

Enhancement of laser action in ZnO nanorods assisted by surface plasmon resonance of reduced graphene oxide nanoflakes.

We report the discovery of an enhancement of the random laser action in a nanocomposite comprising reduced graphene oxide nanoflakes and ZnO nanorods. We show that both emission intensity and lasing threshold exhibit an obvious improvement. Based on our theoretical calculations, the mechanism underlying the enhanced stimulated emission can be attributed to coupling between the optical transition and the surface plasmon resonance of the reduced graphene oxide nanoflakes, induced by the ZnO nanorod surface roughness.

Single ZnO nanowire-PZT optothermal field effect transistors.

A new type of pyroelectric field effect transistor based on a composite consisting of single zinc oxide nanowire and lead zirconate titanate (ZnO NW-PZT) has been developed. Under infrared (IR) laser illumination, the transconductance of the ZnO NW can be modulated by optothermal gating. The drain current can be increased or decreased by IR illumination depending on the polarization orientation of the Pb(Zr(0.

Large enhancement of photocurrent gain based on the composite of a single n-type SnO2 nanowire and p-type NiO nanoparticles.

The high sensitivity of photodetector in the UV range based on the composite consisting of a single SnO(2) nanowire and NiO nanoparticles has been demonstrated. The underlying mechanism is attributed to the formation of p-NiO and n-SnO(2) heterojunction on the nanowire surface. The enhanced space charge region owing to the existence of p-n heterojunction increases the surface electric field, which will improve the separation of photogenerated electrons and holes, and the photoresponse gain will be greatly enhanced.