The Impact of Physical Activities on Men's Mental Health: A Focus on Bipolar Disorder Prevention.

Bipolar disorder (BD) is a prevalent psychiatric condition characterized by extreme mood fluctuations between manic and depressive episodes, significantly affecting social and occupational functioning. The etiology of BD is multifactorial, involving genetic, environmental, and lifestyle factors. While previous research has focused on the genetic and environmental contributors to BD, the role of physical activity as a modifiable lifestyle factor remains underexplored.

Human bone marrow derived stem cell differentiation on 3D printed bioactive glass scaffolds.

Bioactive glass particles have previously been found to stimulate new bone growth in vivo and have a long clinical track record. The effect of bioactive glasses on human bone marrow derived stromal cells (hBMSCs) has not been clearly ascertained previously. Recently, 3D printed scaffolds of the ICIE16 glass composition (49.

Unlocking Fast Lithium Ion Migration in Zirconium-Based Fluoride Solid Electrolytes.

Fluoride solid-state electrolytes (SSEs) have attracted significant interest due to the extremely high oxidation limits, excellent air stability, and favorable compatibility with metallic lithium, while the structure-property relationship remains unknown. Although crystalline LiZrF (LZF) synthesized at high temperatures exhibits extremely low ionic conductivity, the ionic conductivity of its quasicrystalline counterpart synthesized via lithium-rich strategies can be enhanced by at least an order of magnitude. The enhanced ionic conductivity is attributed to effective modulation of 0-, 1-, and 2D defects in the structure, which manifests as an optimized carrier-vacancy concentration equilibrium, structural rearrangement of framework units, and adjustment of dislocation and grain boundary configurations.

Deciphering Pyridinic N-Mediated Inhibition Mode in Platinum Nanozymes for Pesticide Distinction.

Developing high-performance nanozymes with efficient HO activation capacity for biosensing still faces a great challenge. Here, Pt nanoparticles on a porous nitrogen-doped carbon carrier (Pt─N─C) are prepared as efficient nanozymes. By optimizing the pyridinic N content in the carbon carrier, a positive correlation has been found between the pyridinic N content and the peroxidase-like activity of Pt─N─C nanozymes.

Single-Atom Cobalt Sites Efficient Activation of HO With Enhanced O Tolerance for Electrochemiluminescence Sensing of Plasticizers.

Electrochemiluminescence (ECL) based on luminol-HO systems presents significant potential for the accurate and reliable biosensing. However, owing to the overlap of the potential windows for activating HO and dissolved O leads to competitive reactions, which presents a significant challenge for the selective ECL sensing. Herein, single atom Co sites on nitrogen-doped hierarchically porous carbon (Co-NC SAs) as co-reaction accelerators can efficiently activate HO to generate reactive oxygen species for oxidation of luminol and thus achievement of enhanced ECL emission.

Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease.

Objective: Deep learning image reconstruction (DLIR) technology effectively improves the image quality while maintaining spatial resolution. The impact of DLIR on the quantification of coronary artery calcium (CAC) is still unclear. The purpose of this study was to investigate the effect of DLIR on the quantification of coronary calcium in high-risk populations.

An O-glycopeptide participates in the formation of distinct Aβ fibril structures and attenuates Aβ neurotoxicity.

The self-assembly of biomolecules through noncovalent interactions is critical in both physiological and pathological processes, as exemplified by the assembly of amyloid β peptide (Aβ) into oligomers or fibrils in Alzheimer's disease (AD). Developing molecules that can modulate this assembly process holds significant mechanistic and therapeutic potential. In this study, we identified glycopeptides as a class of protein aggregation modulators, showing that β-N-acetylgalactosamine (β-GalNAc)-modified Aβ promotes Aβ fibrillation while reducing its toxic oligomers.

Cerium-alloyed dendrite-inhibited highly stable anodes for all-solid-state lithium batteries.

All-solid-state lithium (Li) batteries (ASSLBs) can inhibit the growth of Li dendrites to some extent, whereas Li dendrites are still unavoidable, which decreases the electrochemical performance of ASSLBs. Among the many methods developed for suppressing Li dendrites, the use of Li-In alloy anodes is a common strategy due to its smooth voltage plateau and stable electrochemical performance. However, Li-In dendrites still appear in Li-In anode-based ASSLBs.

IL-6-induced long noncoding RNA MIR3142HG promotes tumorigenesis by interacting with thioredoxin-1 and STAT3 in human colorectal cancer.

Background: Colorectal cancer (CRC) is a prevalent and highly malignant neoplasm on a global scale, ranking as the second most widespread cause of cancer-associated death. Long noncoding RNAs (lncRNAs) control tumorigenic processes in CRC by modulating inflammatory signals. However, the precise mechanisms remain unknown.

Vacuum evaporation-assisted reaction: sustainable solution for application of rare earth-based halide solid-state electrolytes.

All-solid-state lithium-ion batteries (ASLIBs) are important and promising electric energy storage devices with high stabilities and energy densities. As burgeoning key materials in ASLIBs, rare earth (RE) halide solid-state electrolytes (SEs) have better overall electrochemical performance than do oxide and sulfide SEs. Technologies for the efficient preparation, mass production and recycling of RE halide SEs (HSEs) are challenges that urgently need to be overcome.

Rare-Earth Ions Regulating Lattice-Softened Bromide Solid Electrolytes for Highly Stable Fast-Charging Solid-State Batteries.

All-solid-state lithium-based batteries (ASSLBs) with good safety and high energy density are valuable. To realize stable and high-efficiency ASSLBs, high-performance solid-state electrolytes (SEs) with good processability are necessary. Bromide (Br)-based rare-earth halide SEs (RE-HSEs) exhibit good deformability for large radii of RE and Br ions.

Volatile aromatic substances analysis of different temperature stored 'Docteur Jules Guyot' pear ( L.).

During the post-ripening process of 'Docteur Jules Guyot' pear, the aroma of the fruit gradually becomes richer with increasing maturity. In this study, the volatile substances in 'Docteur Jules Guyot' pear fruits stored at room temperature (RT), low temperature (LT), and low temperature to room temperature (LT-RT) were identified and analyzed using solid-phase microextraction (SPME) with gas chromatography-mass spectrometry (GC-MS) at different ripening stages. The results showed that the volatile substances were mainly alcohols, aldehydes, esters, acids, ketones, alkanes, and terpenes.

A review of scenario cases for autonomous transportation system: Insights from CAV safety testing and scenario generation.

Ensuring the reliability and trustworthiness of connected and automated vehicle (CAV) technologies is crucial before their widespread implementation. Instead of focusing solely on the automation levels of individual vehicles, it is essential to consider the autonomous operations of the entire autonomous transportation system (ATS) to achieve automated traffic. However, designing and generating scenarios that unify the diverse properties of CAV testing and establish mutual trust among stakeholders pose significant challenges.

Exploring Tetra-/Penta-/Hexavalent Ion Substitution in Yttrium-Based Halide Solid-State Electrolytes.

Although aliovalent ion substitution is an important strategy for enhancing ionic conductivity in halide electrolytes, the choice of doping ions is often restricted to tetravalent ions, and investigations into the intrinsic origin of the doping mechanism are lacking. In this work, we investigated the effects of Zr, Ta and W doping on the crystal structure and ionic conductivity of yttrium-based rare-earth halides. Only Zr achieves fast ion diffusion in both the (001) and (002) crystal planes by affecting the volume of the octahedron and the tetrahedral interstitial space, whereas Ta significantly enhances the ion diffusion rate in the (001) crystal plane while suppressing it in the (002) plane, and W does the opposite.

PRAF2 as a novel biomarker for breast cancer with machine learning and experimentation validation.

Background: Breast cancer (BC) is the most prevalent malignancy in women. Potential therapeutic targets for BC are of great significance. In our previous study, we found that prenylated rab acceptor 1 domain family member 2 (PRAF2) is an oncogene in BC.

Minigene-based splice assays provide new insights on intronic variants of the PKHD1 gene.

Background: Autosomal Recessive Polycystic Kidney Disease (ARPKD) is a rare hereditary disorder caused by variants in PKHD1. Currently, aberrant splicing has been reported to play important roles in genetic disease. Our goal is to analyze intronic variants in PKHD1 at the mRNA level.

The impact of deep learning image reconstruction of spectral CTU virtual non contrast images for patients with renal stones.

Purpose: To compare image quality and detection accuracy of renal stones between deep learning image reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-Veo (ASIR-V) reconstructed virtual non-contrast (VNC) images and true non-contrast (TNC) images in spectral CT Urography (CTU).

Methods: A retrospective analysis was conducted on images of 70 patients who underwent abdominal-pelvic CTU in TNC phase using non-contrast scan and contrast-enhanced corticomedullary phase (CP) and excretory phase (EP) using spectral scan. The TNC scan was reconstructed using ASIR-V70 % (TNC-AR70), contrast-enhanced scans were reconstructed using AR70, DLIR medium-level (DM), and high-level (DH) to obtain CP-VNC-AR70/DM/DH and EP-VNC-AR70/DM/DH image groups, respectively.

Fermentation broth of a novel endophytic fungus enhanced maize salt tolerance by regulating sugar metabolism and phytohormone biosynthesis or signaling.

Soil salinization is a major environmental factor that severely affects global agriculture. Root endophytes can enter root cells, and offer various ecological benefits, such as promoting plant growth, improving soil conditions, and enhancing plant resistance. Su100 is a novel strain of endophytic fungus that was characterized from blueberry roots.

A novel growth-promoting dark septate endophytic fungus improved drought tolerance in blueberries by modulating phytohormones and non-structural carbohydrates.

Drought is a significant global issue affecting agricultural production, and the utilization of beneficial rhizosphere microorganisms is one of the effective ways to increase the productivity of crops and forest under drought. In this study, we characterized a novel growth-promoting dark septate endophytes (DSE) fungus R16 (Dothideomycetes sp.) derived from blueberry roots.

Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity.

Background: The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been determined.

Purpose: To determine the optimal settings of the DLIR algorithm for abdominal low-keV VMI.

Material And Methods: The portal-venous phase computed tomography (CT) scans of 109 participants with 152 lesions were reconstructed into four image series: VMI at 50 keV using adaptive statistical iterative reconstruction (Asir-V) at 50% blending (AV-50); and VMI at 40 keV using AV-50 and DLIR at medium (DLIR-M) and high strength (DLIR-H).

Information System Model and Key Technologies of High-Definition Maps in Autonomous Driving Scenarios.

High-definition maps can provide necessary prior data for autonomous driving, as well as the corresponding beyond-line-of-sight perception, verification and positioning, dynamic planning, and decision control. It is a necessary element to achieve L4/L5 unmanned driving at the current stage. However, currently, high-definition maps still have problems such as a large amount of data, a lot of data redundancy, and weak data correlation, which make autonomous driving fall into difficulties such as high data query difficulty and low timeliness.

Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT.

Background: To assess the improvement of image quality and diagnostic acceptance of thinner slice iodine maps enabled by deep learning image reconstruction (DLIR) in abdominal dual-energy CT (DECT).

Methods: This study prospectively included 104 participants with 136 lesions. Four series of iodine maps were generated based on portal-venous scans of contrast-enhanced abdominal DECT: 5-mm and 1.

Investigation of N-Glycan Functions in Receptor for Advanced Glycation End Products V Domain through Chemical Glycoprotein Synthesis.

The receptor for advanced glycation end products (RAGE) plays a crucial role in inflammation-related pathways and various chronic diseases. Despite the recognized significance of N-glycosylation in the ligand-binding V domain (VD) of RAGE, a comprehensive understanding of the site-activity and structure-activity relationships is lacking due to the challenges in obtaining homogeneous glycoprotein samples through biological expression. Here, we combined chemical and chemoenzymatic approaches to synthesize RAGE-VD and its congeners with Asn3-glycosylation by incorporating precise N-glycan structures.