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In vitro differentiation of human pluripotent stem cells into the B lineage using OP9-MS5 co-culture

In vitro differentiation of human pluripotent stem cells (hPSCs) offers a genetically tractable system to examine the physiology and pathology of human tissue development and differentiation. We have used this approach to model the earliest stages of human B lineage development and characterize potential target cells for the in utero initiation of childhood B acute lymphoblastic leukemia. Herein,

3D Engineering of Human Hematopoietic Niches in Perfusion Bioreactor

The hematopoietic microenvironment, also referred to as hematopoietic niche, is a functional three-dimensional (3D) unit of the bone marrow (BM) that planar culture systems cannot recapitulate. Existing limitations of 2D protocols are driving the development of advanced 3D methodologies, capable of superior modeling of the native organization and interactions between hematopoietic cells and their

Rapid, In Situ and Non-Destructive Analysis for the Evaluation of Microplastics Degradation in Water Via Haze Measurement

The presence of microplastics (MPs) in water represents a current problem for marine life and a future serious issue for human health. This is pushing towards new approaches for the removal of MPs and, hence, their characterization and evaluation, which up to now has represented a limit for tentative procedures for their degradation. Herein, we reported on a new facile, in situ and non-destructive

Procalcitonin as a Predictive Marker of Incident Liver Disease

Background and Aims: Previous studies have shown that procalcitonin (PCT) concentration is elevated in patients with liver disease without evidence of bacterial infection. We aimed to investigate the association between elevated PCT and the future risk of liver disease. Method: PCT was measured in 3897 individuals without known liver disease in the Malmö Diet and Cancer Cardiovascular Cohort (MDC-

Evaluating healthcare quality and inequities using generative AI : a simulation study of potentially inappropriate medication among older adults analyzed via the framework analysis of individual heterogeneity and discriminatory accuracy (AIHDA)

Background: Regular monitoring of healthcare quality and equity is crucial for informing decision-makers and clinicians. This study explores the application of generative AI, more specifically large language models (LLMs), to facilitate standardized monitoring of healthcare quality using the established framework Analysis of Individual Heterogeneity and Discriminatory Accuracy (AIHDA). The study i

Unveiling the Local Fate of Charge Carriers in Halide Perovskite Thin Films via Correlation Clustering Imaging

As the field of metal halide perovskites matures, a range of compositionally different perovskite films has found a place in efficient optoelectronic devices. These films feature variable local structural stability, carrier diffusion, and recombination, while there is still a lack of easy-to-implement generic protocols for high-throughput characterization of these variable properties. Correlation

Contributions of injury deaths to changes in life expectancy and disparity : A comparative analysis of G7 countries over two decades

BACKGROUND: Despite the high level of economic development in the Group of Seven (G7) countries, injury deaths remain a public health concern in these countries. This paper examines the contribution of injury deaths to changes in life expectancy (LE) and life disparity (LD) in the G7 countries.METHODS: We used annual data from the WHO mortality database to compute LE and LD during 2001-03 and 2017

Lessons from Ten Years of the International Master’s Program in System-on-Chip

In July 2000 the five-year Swedish national “Socware Research & Education Program” was started. One of the aims of the program was to develop an innovative unique educational curriculum in System-on-Chip design. The program was targeted at undergraduate and graduate. In total the program received USD $15 million funding. In 2005 the program entered a new phase; more than 500 Master’s students

Exploration of ultrafast dynamic processes in photocatalysis : Advances and challenges

Photocatalysis plays a crucial role in harnessing renewable energy by efficiently converting solar energy into chemical energy. Adequate cognition of photogenerated charge carrier dynamics in photocatalysis is the key to realizing efficient solar energy utilization, and provides guidance for breaking through the efficiency bottleneck. However, a convincing correlation between those photophysical p

Rheumatic and Musculoskeletal Diseases and Risk of Dementia : A Nested Case-Control Study

Objective: To investigate the associations between rheumatic and musculoskeletal diseases (RMDs) and incident dementia using population register-based data. Methods: This nested case-control study was conducted based on a cohort of residents in the Skåne region, Sweden, aged 50 years and older in 2009 without doctor-diagnosed dementia during 1998 to 2009 (n = 402,825). Individuals with a new main

The AAV-α-Synuclein Model of Parkinson's Disease : An Update

Targeted delivery of α-synuclein using AAV vectors has over the two decades since its introduction developed into a versatile tool for modeling different aspects of synucleinopathy, mimicking those seen in Parkinson's disease and related Lewy body disorders. The viral vector approach to disease modeling is attractive in that the expression of α-synuclein, wild-type or mutated, can be confined to d

Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation

Segmentation of diagnostic radiography images using deep learning is progressively expanding, which sets demands on the accessibility, availability, and accuracy of the software tools used. This study aimed at evaluating the performance of a segmentation model for digital breast tomosynthesis (DBT), with the use of computer-simulated breast anatomy. We have simulated breast anatomy and soft tissue

Aggregation of Gold Nanoparticles for Controlling Emission Polarization : Implications for Applications in Photonics

Manipulating the light polarization properties of gold nanoparticle aggregates can facilitate their applications in sensing and imaging. However, control of the intrinsic light polarization on demand at the nanoscale is hindered by the lack of a fundamental understanding of the structure-dependent plasmon coupling in the aggregates. Here, the polarization properties of intrinsic photoluminescence

Sodium Intake and Incident Atrial Fibrillation in Individuals With Vascular Disease

IMPORTANCE Numerous prospective cohort studies have reported a J-shaped association of urinary sodium excretion with cardiovascular events and mortality. OBJECTIVE To study the association between sodium intake and incident atrial fibrillation (AF). DESIGN, SETTING, AND PARTICIPANTS This cohort study included participants in the Ongoing Telmisartan Alone and in Combination with Ramipril Global End

Eckart streaming with nonlinear high-order harmonics : An example at gigahertz

Acoustic streaming shows great potential in applications such as bubble dynamics, cell aggregation, and nanosized particle isolation in the biomedical and drug industries. As the acoustic shock distance decreases with the increase of incident frequency, the nonlinear propagation effect will play a role in acoustic streaming, e.g., Eckart (bulk) streaming at a few gigahertz. However, the theory of

Synthesis and spectroscopic properties of carotenoid bis-phenylhydrazone astaxanthin : extending conjugation to a C=N group

We report on the synthesis and detailed spectroscopic characterization of bis-phenylhydrazone astaxanthin (BPH-Asx), a derivative of astaxanthin (Asx), in which the conjugated carbonyl group of Asx is replaced by a conjugated C N bond. BPH-Asx was successfully synthesized and characterized using various spectroscopic techniques, revealing subtle changes in absorption spectra and significant altera

Charge Trapping and Defect Dynamics as Origin of Memory Effects in Metal Halide Perovskite Memlumors

Large language models for artificial intelligence applications require energy-efficient computing. Neuromorphic photonics has the potential to reach significantly lower energy consumption in comparison with classical electronics. A recently proposed memlumor device uses photoluminescence output that carries information about its excitation history via the excited state dynamics of the material. So

N-Doping Donor-Dilute Semitransparent Organic Solar Cells to Weaken Donor : Acceptor Miscibility and Consolidate Donor-Phase Continuity

Lightweight and semi-transparent organic solar cells (ST-OSCs) offer bright promise for applications such as building integrated photovoltaics. Diluting donor content in bulk-heterojunction active layers to allow greater visible light transmittance (AVT) effectively enhances device transparency, yet the ineluctable compromise of the donor-phase continuity is challenging for efficient charge transp