Enhancement of Osseointegration via Endogenous Electric Field by Regulating the Charge Microenvironments around Implants.

The regulation of the charged microenvironment around implants is an effective way to promote osseointegration. Although homeostasis of the charged microenvironment plays an integral role in tissues, current research is externally invasive and unsuitable for clinical applications. In this study, functional materials with different surface potential differences are prepared by changing the spatial layout of Ta and Ag on the surface of a Ti-6Al-4V alloy (TC4).

Superconducting Quantum Simulation for Many-Body Physics beyond Equilibrium.

Quantum computing is an exciting field that uses quantum principles, such as quantum superposition and entanglement, to tackle complex computational problems. Superconducting quantum circuits, based on Josephson junctions, is one of the most promising physical realizations to achieve the long-term goal of building fault-tolerant quantum computers. The past decade has witnessed the rapid development of this field, where many intermediate-scale multi-qubit experiments emerged to simulate nonequilibrium quantum many-body dynamics that are challenging for classical computers.

Effects of TNF-α on Behaviour and Inflammation in Rats with Rotator Cuff Injury through NGF.

Objective: Rotator cuff injury is a common injury that includes inflammation, partial tearing, or complete tearing of the rotator cuff tendon. In cases of rotator cuff tears (RCTs), Tumor Necrosis Factor-alpha (TNF-α) can trigger the release of nerve growth factor (NGF). TNF-α is an important inflammatory mediator that affects rotator cuff activity and increased NGF expression is observed in RCTs.

18 F-FAPI-42 Versus 18 F-FDG PET/MRI in a Case of Primary Peripheral T-Cell Lymphoma of the Skeletal Muscles.

Primary skeletal muscle lymphoma is rare. We describe 18 F-FAPI-42 and 18 F-FDG PET/MRI findings in a case of primary peripheral T-cell lymphoma of the skeletal muscles with brain involvement. The multiple skeletal muscle tumors and one larger cerebral tumor showed intense FDG uptake and mild to moderate FAPI uptake.

Enhanced quantum state transfer by circumventing quantum chaotic behavior.

The ability to realize high-fidelity quantum communication is one of the many facets required to build generic quantum computing devices. In addition to quantum processing, sensing, and storage, transferring the resulting quantum states demands a careful design that finds no parallel in classical communication. Existing experimental demonstrations of quantum information transfer in solid-state quantum systems are largely confined to small chains with few qubits, often relying upon non-generic schemes.

Synergistic Machine Learning Accelerated Discovery of Nanoporous Inorganic Crystals as Non-Absorbable Oral Drugs.

Machine learning (ML) has taken drug discovery to new heights, where effective ML training requires vast quantities of high-quality experimental data as input. Non-absorbable oral drugs (NODs) have unique safety advantage for chronic diseases due to their zero systemic exposure, but their empirical discovery is still time-consuming and costly. Here, a synergistic ML method, integrating small data-driven multi-layer unsupervised learning, in silico quantum-mechanical computations, and minimal wet-lab experiments is devised to identify the finest NODs from massive inorganic materials to achieve multi-objective function (high selectivity, large capacity, and stability).

CdTe@ZnS quantum dots for rapid detection of organophosphorus pesticide in agricultural products.

Organophosphorus pesticides (OPPs) constitute the most widely employed class of pesticides. However, the prevalent use of OPPs, while advantageous, raises concerns due to their toxicity, posing serious threats to food safety. Chemical sensors utilizing quantum dots (QDs) demonstrate promising applications in rapidly detecting OPPs residues, thereby facilitating efficient inspection of agricultural products.

Correction: Recognition of mulberry leaf diseases based on multi-scale residual network fusion SENet.

[This corrects the article DOI: 10.1371/journal.pone.

Proteinaceous Microsphere-Based Water-in-Oil Pickering Emulsions for Preservation of Chlorella Cells.

Microalgae are highly regarded as ideal materials for the creation of liquid biofuels and have substantial potential for growth and utilization. However, traditional storage and culture methods for microalgae are plagued by challenges such as uncontrolled growth, bacterial contamination, and self-shading among algae. These issues severely impede the photosynthetic process and the efficient extraction of biomass energy.

Recognition of mulberry leaf diseases based on multi-scale residual network fusion SENet.

Silkworms are insects with important economic value, and mulberry leaves are the food of silkworms. The quality and quantity of mulberry leaves have a direct impact on cocooning. Mulberry leaves are often infected with various diseases during the growth process.

A Counterion-Free Strategy for Chronic Metabolic Acidosis Based on an Orally Administered Gut-Restricted Inorganic Adsorbent.

Chronic metabolic acidosis, arising as a complication of chronic kidney disease (CKD), not only reduces patients' quality of life but also aggravates renal impairment. The only available therapeutic modality, involving intravenous infusion of NaHCO , engenders undesirable sodium retention, thereby increasing hemodynamic load and seriously exacerbating the primary disease. This deleterious cascade extends to the development of cardiovascular diseases.

Effect of cardiac function in patients with gastrointestinal cancer with or without acute kidney injury assessed using a non-invasive impedance cardiography: a case-control study.

Objectives: This study aimed to analyze the possible causes of changes in cardiac function and investigate the feasibility of clinical assessment of gastrointestinal cancer in patients with or without acute kidney injury (AKI) assessed using a non-invasive impedance cardiography (ICG, Bioz. Cardio Dynamics, USA) to identify independent risk factors.

Methods: Patients admitted to the Fourth Hospital of Hebei Medical University, China, between May 1, 2019, and February 15, 2022, were included in this study.

Lithium-ion battery multi-scale modeling coupled with simplified electrochemical model and kinetic Monte Carlo model.

The multi-scale modeling of lithium-ion battery (LIB) is difficult and necessary due to its complexity. However, it is difficult to capture the aging behavior of batteries, and the coupling mechanism between multiple scales is still incomplete. In this paper, a simplified electrochemical model (SEM) and a kinetic Monte Carlo (KMC)-based solid electrolyte interphase (SEI) film growth model are used to study the multi-scale characteristics of LIBs.

Pre- and Post-Operative Online Prediction of Outcome in Patients Undergoing Endovascular Coiling after Aneurysmal Subarachnoid Hemorrhage: Visual and Dynamic Nomograms.

Background: Aneurysmal subarachnoid hemorrhage (aSAH) causes long-term functional dependence and death. Early prediction of functional outcomes in aSAH patients with appropriate intervention strategies could lower the risk of poor prognosis. Therefore, we aimed to develop pre- and post-operative dynamic visualization nomograms to predict the 1-year functional outcomes of aSAH patients undergoing coil embolization.

Accurately predicting the risk of unfavorable outcomes after endovascular coil therapy in patients with aneurysmal subarachnoid hemorrhage: an interpretable machine learning model.

Background: Despite endovascular coiling as a valid modality in treatment of aneurysmal subarachnoid hemorrhage (aSAH), there is a risk of poor prognosis. However, the clinical utility of previously proposed early prediction tools remains limited. We aimed to develop a clinically generalizable machine learning (ML) models for accurately predicting unfavorable outcomes in aSAH patients after endovascular coiling.

Alveolar ridge preservation in post-extraction sockets using concentrated growth factors: a split-mouth, randomized, controlled clinical trial.

Aim: The aim of this clinical trial was to assess the impact of autologous concentrated growth factor (CGF) as a socket-filling material and its ridge preservation properties following the lower third molar extraction.

Materials And Methods: A total of 60 sides of 30 participants who had completely symmetrical bilateral impacted lower third molars were enrolled. The primary outcome variables of the study were bone height and width, bone density, and socket surface area in the coronal section.

Mena as a key enhancer factor of EMT to promote metastasis of human tongue squamous cell carcinoma.

Objective: The aim of this study was to investigate the effect of mammalian-enabled (Mena) on tongue squamous cell carcinoma (TSCC) metastasis and its mechanism.

Materials And Methods: Immunochemistry was performed to investigate the Mena and tumor-related markers expression, and its clinicopathological characteristics in 46 TSCC specimens. TSCC cell SCC9 and Cal27 untransfected or stable transfected with Mena overexpression and small interfering RNA were used to determine the role of Mena in cell proliferation, cell migration, invasion and metastasis, and EMT-related markers in vitro, and the effect of Mena on TSCC growth and metastasis through tumor-bearing and tumor metastasis immunodeficient mice models in vivo.

An early microvascular training program of dental intern students and junior residents: a comparative prospective study.

Background: Clinical instructional strategies and the climate in which teaching and learning take place have a significant impact on the quality of dental education. Therefore, this study aimed to evaluate the impact of early microsurgery training on the skills of dental intern students who are planning to join an oral and maxillofacial surgical field (DIS) as compared with junior residents within an oral and maxillofacial surgery department who had no microsurgery experience (JR).

Methods: A total of 100 trainees, 70 were DIS, while the other 30 were JR.

A visualized MAC nomogram online predicts the risk of three-month mortality in Chinese elderly aneurysmal subarachnoid hemorrhage patients undergoing endovascular coiling.

Objective: Aneurysmal subarachnoid hemorrhage (aSAH) is an aggressive disease with higher mortality rate in the elderly population. Unfortunately, the previous models for predicting clinical prognosis are still not accurate enough. Therefore, we aimed to construct and validate a visualized nomogram model to predict online the 3-month mortality in elderly aSAH patients undergoing endovascular coiling.

High-frequency plasma exchange therapy for immunocompromised, type I crescentic glomerulonephritis complicated with IgA nephropathy: A case report and literature review.

Rationale: Anti-glomerular basement membrane (anti-GBM) disease has been reported to coexist with other immune-mediated glomerular disorders, including antineutrophil cytoplasmic autoantibody positive glomerulonephritis and membranous glomerulopathy. It is well known that anti-GBM disease often manifests as type I crescentic glomerulonephritis on renal biopsy. However, concurrent cases of both type I crescentic glomerulonephritis and IgA nephropathy are rare.