Recent Progress and Advances of Perovskite Crystallization in Carbon-Based Printable Mesoscopic Solar Cells.

Carbon-based printable mesoscopic solar cells (p-MPSCs) offer significant advantages for industrialization due to their simple fabrication process, low cost, and scalability. Recently, the certified power conversion efficiency of p-MPSCs has exceeded 22%, drawing considerable attention from the community. However, the key challenge in improving device performance is achieving uniform and high-quality perovskite crystallization within the mesoporous structure.

CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults.

Background: Chronic obstructive pulmonary disease (COPD) and asthma are the two most prevalent chronic respiratory diseases, significantly impacting public health. Utilizing clinical questionnaires to identify and differentiate patients with COPD and asthma for further diagnostic procedures has emerged as an effective strategy to address this issue. We developed a new diagnostic tool, the COPD-Asthma Differentiation Questionnaire (CAD-Q), to differentiate between COPD and asthma in adults.

A conceptual model for advanced/metastatic gastric or gastroesophageal junction cancer: a review of qualitative studies and results from patient interviews.

Background: Despite approvals of new first-line immunotherapies for advanced/metastatic gastric cancer/gastroesophageal junction cancer (aGC/GEJC), patients' median survival is around 14 months and their health-related quality of life (HRQoL) is affected by disease-related symptoms and treatment-related side effects. Using a targeted literature review (TLR) and patient interviews, this study identified disease- and treatment-related concepts that are important to patients with aGC/GEJC and their HRQoL.

Methods: A TLR was conducted to identify primary qualitative studies from 2018 to 2021 on patients' experiences with aGC/GEJC.

Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints.

Accurately extracting organs from medical images provides radiologist with more comprehensive evidences to clinical diagnose, which offers up a higher accuracy and efficiency. However, the key to achieving accurate segmentation lies in abundant clues for contour distinction, which has a high demand for the network architecture design and its practical training status. To this end, we design auxiliary and refined constraints to optimize the energy function by supplying additional guidance in training procedure, thus promoting model's ability to capture information.

Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength.

Concrete compressive strength is a critical parameter in construction and structural engineering. Destructive experimental methods that offer a reliable approach to obtaining this property involve time-consuming procedures. Recent advancements in artificial neural networks (ANNs) have shown promise in simplifying this task by estimating it with high accuracy.

Unsupervised domain adaptation teacher-student network for retinal vessel segmentation via full-resolution refined model.

Retinal blood vessels are the only blood vessels in the human body that can be observed non-invasively. Changes in vessel morphology are closely associated with hypertension, diabetes, cardiovascular disease and other systemic diseases, and computers can help doctors identify these changes by automatically segmenting blood vessels in fundus images. If we train a highly accurate segmentation model on one dataset (source domain) and apply it to another dataset (target domain) with a different data distribution, the segmentation accuracy will drop sharply, which is called the domain shift problem.

Effects of high-intensity laser therapy in patients with De Quervain's tenosynovitis: A systematic review and meta-analysis.

Background: De Quervain's tenosynovitis (QT) is common among individuals performing repetitive manual tasks and significantly affects daily activities due to pain. While traditional treatments often provide limited relief, high-intensity laser therapy (HILT) shows as a potential analgesic resource.

Purpose: This systematic review aimed to evaluate the analgesic effects of HILT in patients with QT.

Revised definition of obesity in Asian Indians living in India.

Aim: The prevailing guidelines for obesity in Asian Indians, published in 2009, relied solely on body mass index (BMI) criteria. Recognizing the limitations of BMI in accurately diagnosing obesity and the emergence of new research revealing the association between generalized and abdominal adiposity in Asian Indians and early-onset co-morbid diseases, a comprehensive redefinition was needed.

Method: In a Delphi process focused on obesity in India, experts were invited via email to participate in five rounds.

OPTO: Automated Optimization for Solid-State NMR Spectroscopy.

NMR spectroscopy presents boundless opportunities for understanding the structure, dynamics, and function for a broad range of scientific applications. Solid-state NMR (SSNMR), in particular, provides novel insights into biological and material systems that are not amenable to other approaches. However, a major bottleneck is the extent of user training and the difficulty of obtaining reproducible, high-quality experimental results, especially for the sophisticated multidimensional pulse sequences that are essential to provide site-resolved measurements in large biomolecules.

A Pilot Randomized Controlled Trial of a Single-Session Intervention to Reduce Training Psychologists' Burnout.

Professional psychology trainees often experience burnout during their clinical training. In a pilot randomized controlled trial, we tested the feasibility, acceptability, utility, and preliminary efficacy of a 10-minute, online single-session intervention (SSI), designed to address burnout, hopelessness, and perceived agency in psychology trainees. In March 2023, 151 doctoral students with symptoms of stress or burnout in accredited, U.

A Live Video Resiliency Dyadic Intervention for Persons With Dementia and Their Care-Partners Early After Diagnosis: Protocol for Open Pilot of Resilient Together for Dementia.

Background: Alzheimer disease and related dementias (ADRDs) are increasingly common progressive conditions that have a substantial impact on individuals and their primary care partners-together described as a dyad. The stressors experienced by dyad members at around the time of ADRD diagnosis commonly produce clinically elevated emotional distress (ie, depression and anxiety symptoms), which can become chronic and negatively impact health, relationships, and the overall quality of life. Dyads commonly report unmet needs for early support to address these challenges early after diagnosis.

Change in management for digital subtraction angiography-identified false-positive traumatic vertebral artery injury.

Background: For patients with suspected traumatic vertebral artery injury (TVAI), CT angiography (CTA) is the first-line screening modality. Digital subtraction angiography (DSA) serves as the confirmatory diagnostic imaging, and is the gold standard for cerebrovascular injury assessment, due to its higher sensitivity and specificity. Among patients with TVAI based on CTA who have undergone follow-up DSA, this study aims to investigate how diagnostic information with additional imaging affects clinical management.

Application of Raman Spectroscopy in the Non-invasive Diagnosis of Urological Diseases via Urine.

Objectives: The objective of this review is to provide a comprehensive overview of the utilization of Raman spectroscopy in urinary system diseases, highlighting its potential in non-invasive diagnostic methodologies for early diagnosis and prognostic assessment of urinary ailments.

Methods: We searched PubMed, Web of Science, and Google Scholar using 'raman,' 'bladder,' 'kidney,' 'prostate,' 'cancer,' 'infection,' 'stone or urinary calculi,' and 'urine or urinary,' along with 'AND' and 'OR' to refine our search. We excluded irrelevant articles and screened potential ones based on titles and abstracts before assessing the full texts for relevance and quality.

Functional characterization of eQTLs and asthma risk loci with scATAC-seq across immune cell types and contexts.

cis-regulatory elements (CREs) control gene transcription dynamics across cell types and in response to the environment. In asthma, multiple immune cell types play an important role in the inflammatory process. Genetic variants in CREs can also affect gene expression response dynamics and contribute to asthma risk.

Advancements in iron-based photocatalytic degradation for antibiotics and dyes.

The accelerated growth of the economy and advancements in medical technology have led to the discharge of a diverse range of organic pollutants into water sources. Recent investigations into water treatment have demonstrated the potential for integrating photocatalysis with techniques such as photocatalytic persulfate activation and the Photo-Fenton process for more efficient wastewater management. Iron-based photocatalysts responsive to visible light offer several advantages, including non-toxicity, safety, affordability, and excellent chemical and optical properties.

Refinement of a meaning-centered counseling program for Chinese patients with advanced cancer: integrating cultural adaptation and implementation science approaches.

Background: This mixed methods study identified needed refinements to a telehealth-delivered cultural and linguistic adaptation of Meaning-Centered Psychotherapy for Chinese patients with advanced cancer (MCP-Ch) to enhance acceptability, comprehensibility, and implementation of the intervention in usual care settings, guided by the Ecological Validity Model (EVM) and the Practical, Robust Implementation and Sustainability Model (PRISM).

Methods: Fifteen purposively sampled mental health professionals who work with Chinese cancer patients completed surveys providing Likert-scale ratings on acceptability and comprehensibility of MCP-Ch content (guided by the EVM) and pre-implementation factors (guided by PRISM), followed by semi-structured interviews. Survey data were descriptively summarized and linked to qualitative interview data.

Exploring the role of volume energy density in altering microstructure and corrosion behavior of nitinol alloys produced by laser powder bed fusion.

In the realm of materials science and engineering, the pursuit of advanced materials with tailored properties has been a driving goal behind technological progress. Scientific interest in laser powder bed fusion (L-PBF) fabricated NiTi alloy has in recent times seen an upsurge of activity. In this study, we investigate the impact of varying volume energy density (VED) during L-PBF on the microstructure and corrosion behaviour of NiTi alloys in both scan (XY) and built (XZ) planes.

A semi-supervised boundary segmentation network for remote sensing images.

Accurately segmenting remote sensing images remains challenging due to the diverse target scales and ambiguous structural boundaries. In this work, we propose a semi-supervised boundary segmentation network (BS-GAN) to address these challenges. BS-GAN employs a semi-supervised learning approach to reduce dependency on labeled data while introducing a novel mixed attention (MA) mechanism to enhance segmentation accuracy by aggregating long-range contextual information.

Trans-scale live-imaging of an E5.5 mouse embryo using incubator-type biaxial light-sheet microscopy.

During mouse embryonic development, the embryonic day (E) 5.5 stage represents a crucial period for the formation of the primitive body axis, where the symmetry breaking of cellular states influences the multicellular system. Elucidating the detailed mechanisms of this process necessitates a trans-layered dynamic observation of the embryo and all internal cells.

A Warm Water Immersion Intervention for Symptoms of PTSD in Military Veterans: A Qualitative Descriptive Study.

Background: Post-Traumatic Stress Disorder (PTSD) is a substantial problem for Veterans and active members of armed forces across the globe, resulting in debilitating mental and physical comorbidities. Evidence-based treatments have demonstrated some success; however, many Veterans remain symptomatic mandating the urgent need for innovative treatment strategies.

Purpose: The purpose of this study was to explore the lived experience of military Veterans with PTSD symptoms who participated in a therapeutic warm water immersion intervention aimed at reducing their symptoms.

Identification of key antifibrotic targets FPR1, TAS2R5, and LRP2BP of valsartan in diabetic nephropathy: A transcriptomics-driven study integrating machine learning, molecular docking, and dynamics simulations.

Diabetic nephropathy (DN) is a major complication of diabetes and a leading cause of renal failure. While valsartan has been shown to alleviate DN clinically, its antifibrotic mechanisms require further investigation. This study used a transcriptomics-driven approach, integrating in vitro, Machine Learning, molecular docking, dynamics simulations and RT-qCPR to identify key antifibrotic targets.

Moderately mechanically activated starch in improving protein digestibility: Application in noodles.

The aim of this study was to investigate the mechanism of protein digestibility improvement by exploring the changes in structural characteristics of proteins in noodles with varying levels of mechanically activated starch. Therefore, different levels of mechanically activated wheat starch were mixed with refined wheat flour to produce noodles. Results showed that moderately mechanically activated starch could significantly improve protein digestibility and noodles containing 8.

A catalytic perspective to nanomaterials reactivity-based toxicity; implications for single- and multiple-component nanomaterials (nanocomposites).

The extended use of a given product normally precedes concerns about it. The reactivity-based nanotoxicity is a major concern that must be tackled from its fundamental understanding to its regulatory management. Moreover, concepts and ideas must seamlessly flow between relevant performers.

PredCMB: Predicting changes in microbial metabolites based on the gene-metabolite network analysis of shotgun metagenome data.

Motivation: Microbiota-derived metabolites significantly impact host biology, prompting extensive research on metabolic shifts linked to the microbiota. Recent studies have explored both direct metabolite analyses and computational tools for inferring metabolic functions from microbial shotgun metagenome data. However, no existing tool specifically focuses on predicting changes in individual metabolite levels, as opposed to metabolic pathway activities, based on shotgun metagenome data.