The first multiple center prospective study of rhFSH CTP in patients undergoing assisted reproductive technology in China.

We assessed the safety and efficacy of rhFSH-CTP, a novel long-acting FSH agent, in controlled ovarian hyperstimulation for patients undergoing ART. A multi-center, open-label, randomized, positive-control, non-inferiority clinical trial was conducted. The study consisted of a phase III randomized design, with a 1:1 ratio favoring the rhFSH-CTP group over the control group.

Minimal sourced and lightweight federated transfer learning models for skin cancer detection.

One of the most fatal diseases that affect people is skin cancer. Because nevus and melanoma lesions are so similar and there is a high likelihood of false negative diagnoses challenges in hospitals. The aim of this paper is to propose and develop a technique to classify type of skin cancer with high accuracy using minimal resources and lightweight federated transfer learning models.

Estimating soil profile salinity under vegetation cover based on UAV multi-source remote sensing.

Soil salinization is the most prevalent form of land degradation in arid, semi-arid, and coastal regions of China, posing significant challenges to local crop yield, economic development, and environmental sustainability. However, limited research exists on estimating soil salinity at different depths under vegetation cover. This study employed field-controlled soil experiments to collect multi-source remote sensing data on soil salt content (SSC) at varying depths beneath barley growth.

'DeltaCAN - A new data set of Canadian Arctic and subarctic coastal deltas'.

Arctic coasts constitute the critical interface between land and sea, and are subject to rapid changes caused by a warming climate. Current trends throughout the Arctic show increasing erosion trends, while other parts of the coast are experiencing prograding trends. Until now, a vast majority of our knowledge of Arctic coastal evolution is confined to site-specific studies with limited geospatial representation.

Liquid crystal torons in Poiseuille-like flows.

Three-dimensional (3D) simulations of the structure of liquid crystal (LC) torons, topologically protected distortions of the LC director field, under material flows are rare but essential in microfluidic applications. Here, we show that torons adopt a steady-state configuration at low flow velocity before disintegrating at higher velocities, in line with experimental results. Furthermore, we show that under partial slip conditions at the boundaries, the flow induces a reversible elongation of the torons, also consistent with the experimental observations.

Retraction notice to "A study on the role of surface functional groups of metakaolin in the removal of methylene blue: Characterization, kinetics, modeling and RSM optimization" [Environ. Res. 226 (2023) 115604].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).

Deep learning-based detection of incisal translucency patterns.

Statement Of Problem: The evaluation of incisal translucency in anterior teeth greatly influences esthetic treatment outcomes. This evaluation is mostly subjective and often overlooked among dental professionals. The application of artificial intelligence-based models to detect the incisal translucency of anterior teeth may be of value to dentists in their restorative dental practice, but studies are lacking.

Effects of chitosan-gentianic acid derivatives on myofibrillar proteins in sea bass (Lateolabrax maculatus) during refrigerated storage.

Phenolic acid-chitosan derivatives have received extensive attention due to their greatly enhanced mechanical, antibacterial and antioxidant properties, especially in food preservation. The chitosan-gentianic acid (CS-g-GA) was prepared and its impact on myofibrillar proteins (MPs) in sea bass (Lateolabrax maculatus) during refrigerated storage was investigated in this study. Fish fillets were immersed in distilled water, CS, GA and CS-g-GA solutions, respectively, followed by an 18-day refrigerated storage.

An in-depth review of AI-powered advancements in cancer drug discovery.

The convergence of artificial intelligence (AI) and genomics is redefining cancer drug discovery by facilitating the development of personalized and effective therapies. This review examines the transformative role of AI technologies, including deep learning and advanced data analytics, in accelerating key stages of the drug discovery process: target identification, drug design, clinical trial optimization, and drug response prediction. Cutting-edge tools such as DrugnomeAI and PandaOmics have made substantial contributions to therapeutic target identification, while AI's predictive capabilities are driving personalized treatment strategies.

Desvenlafaxine with mindfulness-based cognitive therapy reduces Hamilton anxiety scores compared to escitalopram with mindfulness-based cognitive therapy in treatment-resistant generalized anxiety disorder.

Background: This study aims to assess the effectiveness of low-dose Escitalopram (10 mg) or low-dose Desvenlafaxine (25 mg) combined with mindfulness-based cognitive therapy (MBCT) in addressing challenges in treating generalized anxiety disorder (GAD), particularly in patients resistant to conventional therapies.

Methods: A prospective cohort study was conducted with individuals diagnosed with treatment-resistant GAD. group A included patients unresponsive to citalopram, imipramine, paroxetine, and sertraline, who were then treated with low-dose Escitalopram (10 mg) combined with MBCT.

Application of molten salt thermoelectric effect in biomass preparation of hydrogen-rich gas, porous biochar and molten salt regeneration.

Hydrogen production from biomass pyrolysis is attractive since it allows for green hydrogen production through feedstock and thermal conversion. However, the key limiting factors for hydrogen production are the high oxygen content, uneven heating of biomass pellets during the slow heating process, and insufficient depolymerization due to low reaction temperatures (low gas yields and low hydrogen content). To address these challenges, fast pyrolysis of super Arundo in NaOH-NaCO molten salt was carried out in this paper at 450 °C, 550 °C and 650 °C.

Ultrasonic characterization of 3D-printed polymer objects.

3D printing technology, also known as Additive Manufacturing (AM), has revolutionized object prototyping, offering a simple, cost-effective, and efficient approach to creating structures with diverse spatial features. However, the mechanical properties of 3D-printed structures are highly dependent on the material type and manufacturing technique employed. In this study, ultrasonic testing methods were used to comprehensively characterize standard samples produced using two popular printing techniques: material extrusion and vat photopolymerization.

Dendritic cells in triple-negative breast cancer: From pathophysiology to therapeutic applications.

Breast cancer is the second most commonly diagnosed cancer in women and the fifth leading cause of cancer-related deaths worldwide. It is a highly heterogeneous disease, consisting of multiple subtypes that vary significantly in clinical characteristics and survival outcomes. Triple-negative breast cancer (TNBC) is a particularly aggressive and challenging subtype of breast cancer.

Active surface area determines the activity of biochar in Fenton-like oxidation processes.

Biochar (BC) possesses diverse active sites (e.g., oxygen-containing groups OCGs, defects, and electronegative heteroatom) responsible for the catalytic reactions.

Tuning multi-scale pore structures in carbonaceous films via direct ink writing and sacrificial templates for efficient indoor formaldehyde removal.

The primary challenges impeding the extensive application of adsorption for indoor air purification have been low efficiency and effective capacity. To fill the research gap, we developed carbonaceous net-like adsorption films featuring multi-scale porous structures for efficient indoor formaldehyde removal. By optimizing the interfacial mass transfer and internal diffusion, we designed macro- to mesoscale meshes on the film surface and micro- to nano-scale pores within the materials, which were achieved by direct-ink-writing (DIW) printing and sacrificial template methods, respectively.

Distribution-based sub-population selection (DSPS): A method for in-silico reproduction of clinical trials outcomes.

Diabetes presents a significant challenge to healthcare due to the short- and long-term complications associated with poor blood sugar control. Computer simulation platforms have emerged as promising tools for advancing diabetes therapy by simulating patient responses to treatments in a virtual environment. The University of Virginia Virtual Lab (UVLab) is a new simulation platform engineered to mimic the metabolic behavior of individuals with type 2 diabetes (T2D) using a mathematical model of glucose homeostasis in T2D and a large population of 6062 virtual subjects.

Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.

Background: Ureteral stents, such as double-J stents, have become indispensable in urologic procedures but are associated with complications like hematuria and pain. While the advancement of artificial intelligence (AI) technology has led to its increasing application in the health sector, AI has not been used to provide information on potential complications and to facilitate subsequent measures in the event of such complications.

Objective: This study aimed to assess the effectiveness of an AI-based prediction tool in providing patients with information about potential complications from ureteroscopy and ureteric stent placement and indicating the need for early additional therapy.

High-Efficiency, Long-Lifetime and Color-Tunable Hybrid WOLEDs Using a Platinum Complex with Voltage-Dependent Monomer and Aggregate Emission.

Color-tunable white organic light-emitting diodes (CT-WOLEDs) have attracted widespread attention given their large color variation to meet the different daily scenarios from the perspective of circadian rhythm. However, most reported CT-WOLEDs, especially the tri-color devices, exhibit poor performances and sophisticated structures. Here, a simple structure tri-color CT-WOLED is demonstrated that simultaneously exhibits high efficiency, ultralong operation lifetime, and wide color-tunable range for dynamic sunlight emulation.

Utilizing Image Processing Techniques for Wound Management and Evaluation in Clinical Practice: Establishing the Feasibility of Implementing Artificial Intelligence in Routine Wound Care.

Objective: To develop a generalizable and accurate method for automatically analyzing wound images captured in clinical practice and extracting key wound characteristics such as surface area measurement.

Methods: The authors used image processing techniques to create a robust algorithm for segmenting pressure injuries from digital images captured by nurses during clinical practice. The algorithm also measured the real-world wound surface area.

Biomaterial Surface-Mediated Macrophages Exert Immunomodulatory Roles by Exosomal CCL2-Induced Membrane Integrin β1 Trafficking in Recipient Cells.

The interaction between biomaterials and immune system is a critical area of research, especially in tissue engineering and regenerative medicine. A fascinating and less explored aspect involves the immunomodulatory behaviors of macrophage (MΦ)-derived exosomes induced by biomaterial surfaces. Herein, untreated surface, nanostructured surface, and type I collagen (Col-I)-decorated nanostructured surface of titanium implants are chosen to culture MΦs, followed by extraction of MΦ-derived exosomes and investigation of their immunomodulatory functions and mechanisms.

Probing Surface Reactions on Multicomponent Glass Using Reflection-Absorption Infrared Spectroscopy.

The chemical reactivity of glass surfaces is often studied with elemental analysis techniques, and although such characterization methods provide insights on compositional changes from exposure to specific chemical conditions, molecule-specific chemical reactions are not determined unambiguously. This study demonstrates the use of reflection-absorption infrared spectroscopy (RAIRS) to detect molecular species on alkali-free boroaluminosilicate and alkali aluminosilicate glasses, using acetic acid vapor as a model reactant to probe reaction sites at the surface with or without pretreatment by aqueous solutions of varied pH. With the assistance of the theoretical calculation of spectral changes based on refractive indices of bulk materials, it was possible to identify the molecular species being removed and produced at the glass surface.

Volume and quality of the gluteal muscles are associated with early physical function after total hip arthroplasty.

Purpose: Identifying muscles linked to postoperative physical function can guide protocols to enhance early recovery following total hip arthroplasty (THA). This study aimed to evaluate the association of preoperative pelvic and thigh muscle volume and quality with early physical function after THA in patients with unilateral hip osteoarthritis (HOA).

Methods: Preoperative Computed tomography (CT) images of 61 patients (eight males and 53 females) with HOA were analyzed.

Smartphone-based non-invasive detection of salivary uric acid based on the fluorescence quenching of gleditsia sinensis carbon dots.

A smartphone-based non-invasive method was developed for salivary uric acid detection using Gleditsia Sinensis carbon dots (GS-CDs). The GS-CDs synthesized by the one-pot hydrothermal method emitted blue fluorescence at a maximum excitation wavelength of 350 nm and had good fluorescence stability in the presence of different ions, while showing selectivity to uric acid solution. The ability of uric acid (UA) to quench the fluorescent substances present in the GS-CDs, was confirmed through HPLC-FLD and LC-MS, FTIR and XPS.

Microvascular blood flow ultrasound imaging with microbubble-based H-Scan technology.

Ultrasound blood flow imaging plays a crucial role in the diagnosis of cardiovascular and cerebrovascular diseases. Conventional ultrafast ultrasound plane-wave imaging techniques have limited capabilities in microvascular imaging. To enhance the quality of blood flow imaging, this study proposes a microbubble-based H-Scan ultrasound imaging technique.

Simultaneous or separate detection of heavy metal ions Hg and Ag based on lateral flow assays.

A lateral flow assay (LFA) was developed for the simultaneous or separate detection of mercury ion and silver ion based on isothermal nucleic acid amplification. T-Hg-T and C-Ag-C were utilized in the isothermal nucleic acid amplification strategy to form specific complementary base pairs. Under the action of KF polymerase and endonuclease Nt.