Building Collaborative Partnerships between Behavior Analysts and Families.

Collaboration practices have been utilized within applied behavior analysis (ABA) to build relationships among relevant stakeholders. A recent focus within the field of ABA highlights collaborative practices for behavior analysts to utilize in service delivery positions. However, myriad barriers, such as sources of funding and competing stakeholder interests, inhibit behavior analysts' ability to build collaborative partnerships with families.

Improving Patient Experience by Understanding Barriers and Incentives to Telehealth Adoption Among Physicians at a Large Academic Medical Center.

Patients benefit from and appreciate the option to use telehealth with their providers. Such patient expectations have therefore led to new questions about the factors that affect providers' willingness to adopt telehealth as part of their clinical practice. We interviewed 19 physicians across four specialties with differential rates of telehealth use (Psychiatry, Anesthesiology, Physical Medicine & Rehabilitation [PM&R], and Ophthalmology) to discern the barriers and incentives to telehealth adoption among physicians.

Senolytic treatment attenuates immune cell infiltration without improving IAV outcomes in aged mice.

Aging is a major risk factor for poor outcomes following respiratory infections. In animal models, the most severe outcomes of respiratory infections in older hosts have been associated with an increased burden of senescent cells that accumulate over time with age and create a hyperinflammatory response. Although studies using coronavirus animal models have demonstrated that removal of senescent cells with senolytics, a class of drugs that selectively kills senescent cells, resulted in reduced lung damage and increased survival, little is known about the role that senescent cells play in the outcome of influenza A viral (IAV) infections in aged mice.

Evidence-based approaches to cranial cerebrospinal fluid leaks in low- and middle-income countries: a systematic review of the literature.

Cerebrospinal fluid (CSF) leaks commonly occur due to trauma or surgical procedures. Here we review CSF leak diagnosis and management in Low- and Middle-Income Countries (LMICs). A systematic review of the CSF leak management in LMICs was conducted using PubMed, Google Scholar, Embase and Web of Science databases according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Automated MRI pituitary structured reporting from free-text using a fine-tuned Llama model: a feasibility study.

Background And Objective: Structured reports in radiology have demonstrated substantial advantages over unstructured ones. However, the transition from unstructured to structured reporting can face challenges, as experienced radiologists worry about the potential loss of valuable information. In this study, we fine-tuned the Llama 2 model capable of generating structured pituitary MRI reports from unstructured reports.

Cilengitide sensitivity is predicted by overall integrin expression in breast cancer.

Background: Treatment options for triple-negative breast cancer (TNBC) are limited and patients face a poor prognosis. Here, we sought to identify drugs that target TNBC vulnerabilities and understand the biology underlying these responses. We analyzed the Broad Institute DepMap to identify recurrent TNBC vulnerabilities and performed a 45-compound screen on vulnerability-related pathways on a set of up to 8 TNBC cell lines.

Seasonal diversity, daily use and behaviour of birds using a green roof in a Mediterranean city.

Urban green roofs offer environmental and social benefits and provide resources for urban wildlife; however, how birds use green roofs remains poorly studied in Mediterranean cities. Here, we develop a 1-year study in Madrid, Spain, recording the birds that use both an urban green roof and the adjacent conventional roofs throughout the four seasons. We recorded a total of 17 bird species in the area, of which 8 use the green roof surveyed.

Optimization and workflow of in vitro culture of adult Fasciola hepatica.

The aim of this study was to evaluate different transportation and incubation conditions to test the viability of adult Fasciola hepatica in order to propose a new cultivation workflow. The adult stage of F. hepatica was obtained from naturally infected cattle at a local slaughterhouse in Lima, Peru.

Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models.

Background And Objective: Colorectal cancer is one of the major causes of cancer death worldwide. Essential for prognosis and treatment planning, TNM staging offers critical insights into the advancement of colorectal cancer. However, manual TNM staging from colon magnetic resonance imaging (MRI) is a laborious and error prone process.

Manual data labeling, radiology, and artificial intelligence: It is a dirty job, but someone has to do it.

In this letter to the editor, authors highlight the key role of data labeling in training AI models for medical imaging, discussing the complexities, resource demands, costs, and the relevance of quality control in the labeling process including the potential and limitations of AI tools for automated labeling. The article underlines that labeling quality is essential for the accuracy of AI models and the safety of their clinical applications, highlighting the legal responsibilities of labelers in cases where improper labeling leads to AI errors.

Deficiency of mitophagy mediator Parkin in aortic smooth muscle cells exacerbates abdominal aortic aneurysm.

Abdominal aortic aneurysms (AAAs) are a degenerative aortic disease and associated with hallmarks of aging, such as mitophagy. Despite this, the exact associations among mitophagy, aging, and AAA progression remain unknown. In our study, gene expression analysis of human AAA tissue revealed downregulation of mitophagy pathways, mitochondrial structure, and function-related proteins.

Natural language processing-based analysis of the level of adoption by expert radiologists of the ASSR, ASNR and NASS version 2.0 of lumbar disc nomenclature: an eight-year survey.

Background: The American Society of Spine Radiology (ASSR), American Society of Neuroradiology (ASNR), and North American Spine Society (NASS) published a consensus paper with recommendations for lumbar disc nomenclature reports in 2014. We aimed to evaluate the degree of adoption in our radiology department of the ASSR, ASNR, and NASS 2.0 lumbar spine consensus paper using natural language processing (NLP).

Microencapsulation techniques for developing cannabidiol formulations: a review.

Cannabidiol (CBD), extracted from L., holds therapeutic promise without inducing psychoactive effects seen with Δ9-tetrahydrocannabinol. Its interaction with the endocannabinoid system plays a pivotal role in regulating mood, pain perception and immune function.

Assessment of antiemetic activity of dihydrocoumarin: In vivo and in silico approaches on receptor binding affinity and modulatory effects.

Dihydrocoumarin (DCN) is a natural compound widely used in the flavor industry and has antioxidant and anti-inflammatory properties. However, its potential antiemetic effects on gastrointestinal disturbances remain untested. This study emphasizes assessing the antiemetic properties of the natural aromatic compound DCN using copper sulfate (CuSO.

Exploring Osteoarthritis Dynamics: Patient-Specific Cartilage Samples in an Organ-on-a-Chip Model.

Objective: This study aims to tackle the existing challenges associated with the prediction and optimization of pharmaceutical interventions for osteoarthritis (OA). The primary objective is to develop an innovative tool that provides objective and patient-specific information regarding the most affected tissue in OA, articular cartilage.

Design: We employed an organ-on-a-chip (OoC) approach to replicate the 3D structure of cartilage in an setup.

A Randomized Trial on Hemodynamic Optimization of Cerebral Perfusion after Successful Endovascular Therapy in Patients with Acute Ischemic Stroke (HOPE).

Introduction: In patients with acute ischemic stroke (AIS) secondary to intracranial large vessel occlusion, optimal blood pressure (BP) management following endovascular treatment (EVT) has not yet been established. The randomized trial on Hemodynamic Optimization of Cerebral Perfusion after Successful Endovascular Therapy in Patients with Acute Ischemic Stroke (HOPE) (clinicaltrials.gov id: NCT04892511) aims to demonstrate whether hemodynamic optimization using different systolic BP targets following EVT according to the degree of final recanalization, is more effective than currently recommended BP management in improving functional outcomes of patients with AIS.

Unveiling the urban colonization of the Asian water monitor () across its distribution range using citizen science.

Background: This study aims to investigate the urban colonization of the Asian water monitor () across its entire range of distribution, addressing the paucity of research on this species in urban ecosystems. The research spans the geographic range of the Asian water monitor, focusing on urbanized areas where the species accumulates more observations (Bangkok, Colombo, Jakarta, Kuala Lumpur and Singapore).

Methods: We conducted a systematic review to comprehensively assess the current knowledge of the species' presence in cities.

Pinhão potential and their parts (failures, shells, and almonds) in the elaboration of yogurts containing acai pulp: physicochemical, nutritional, and functional properties, antimicrobial activity, and multi-elemental profile.

This study applies natural resources, prioritizing recyclable and renewable inputs produced by pinhão cultivation, whose purpose is to use the failures, shells, and almonds as a source of bioactive compounds addition in yogurt, ensuring intelligent use of these natural resources. Thus, one açaí yogurt sample and eight yogurt formulations containing portions of pinhão byproducts between 5 % and 10 % were elaborated. These formulations were compared regarding their physicochemical, nutritional, functional properties, antimicrobial activity, and multi-elemental profile properties.

Role of Natural Language Processing in Automatic Detection of Unexpected Findings in Radiology Reports: A Comparative Study of RoBERTa, CNN, and ChatGPT.

Rationale And Objectives: Large Language Models can capture the context of radiological reports, offering high accuracy in detecting unexpected findings. We aim to fine-tune a Robustly Optimized BERT Pretraining Approach (RoBERTa) model for the automatic detection of unexpected findings in radiology reports to assist radiologists in this relevant task. Second, we compared the performance of RoBERTa with classical convolutional neural network (CNN) and with GPT4 for this goal.