Understanding the Past to Preserve the Future: Genomic Insights Into the Conservation Management of a Critically Endangered Waterbird.

To ensure the success of genetic rescue, we must minimise the potential negative effects of outbreeding depression that may arise from selecting source populations. The difficulty in assessing the likelihood of outbreeding depression has hindered its consideration in endangered species conservation. However, genomic research offers feasible indications.

Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment.

The challenge of search inefficiency arises when multiple UAV swarms conduct dynamic target area searches in unknown environments. The primary sources of this inefficiency are repeated searches in the target region and the dynamic motion of targets. To address this issue, we present the distributed adaptive real-time planning search (DAPSO) technique, which enhances the search efficiency for dynamic targets in uncertain mission situations.

A Deep Learning-Based Method for Bearing Fault Diagnosis with Few-Shot Learning.

To tackle the issue of limited sample data in small sample fault diagnosis for rolling bearings using deep learning, we propose a fault diagnosis method that integrates a KANs-CNN network. Initially, the raw vibration signals are converted into two-dimensional time-frequency images via a continuous wavelet transform. Next, Using CNN combined with KANs for feature extraction, the nonlinear activation of KANs helps extract deep and complex features from the data.

Comparative Study on Online Prediction of TP2 Rolled Copper Tube Wall Thickness Based on Different Proxy Models.

The wall thickness of the TP2 copper tube casting billet is not uniform after a three-roll planetary rotational rolling, which affects the wall thickness uniformity of the copper tube in the subsequent process. In order to study the influence of wall thickness at different positions of copper pipe after rolling on the wall thickness of copper pipe after joint drawing, an online ultrasonic test platform was used to measure the wall thickness of copper pipe after tying, and based on the test data, a finite element model of copper pipe billet was established, and the numerical simulation of joint drawing wall thickness was conducted. Based on the results of the ultrasonic testing experiment and finite element simulation, different neural network models were used to predict the joint tensile wall thickness with the data of the ultrasonic testing experiment as input and the results of finite element simulation as output.

Study on Acoustic Emission Characteristics and Damage Mechanism of Wind Turbine Blade Main Spar with Different Defects.

This paper aimed to understand the AE signal characteristics and damage mechanism of wind turbine blade main spar materials with different defects during the damage evolution process. According to the typical delamination and wrinkle defects in wind turbine blades, the GFRP composite with defects is artificially prefabricated. Through acoustic emission experiments, the mechanical properties and acoustic emission characteristic trends of wind turbine blade main spar composites with different defects under tensile loading conditions were analyzed, and the damage evolution mechanism of different defects was explained according to the microscopic results.

Cardiovascular adverse events in patients with HER2-positive breast cancer treated with trastuzumab-drug conjugates : a Bayesian disproportional real world study for signal detection leveraging the FDA Adverse Event Reporting System (FAERS).

Background: The cardiovascular risk profiles of trastuzumab drug conjugates (T-DCs) in the treatment of Human Epidermal Growth Factor Receptor 2 (HER2)-positive breast cancer are uncertain. This study analyzed real-world adverse events data from the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) to investigate the association between T-DCs and major adverse cardiovascular events (MACE).

Methods: We searched the FAERS database for reports of cardiovascular adverse events in patients with HER2-positive breast cancer receiving trastuzumab, ado-trastuzumab emtansine (T-DM1), and trastuzumab deruxtecan (T-Dxd).

Peroxidase-like activity of widely-used commercial inorganic pigments induces oxidative stress and antibiotic degradation: Implications for health risks.

Inorganic pigments, which often contain significant amounts of nanoparticles, are crucial chemicals for human life. They are produced in massive quantities and widely used in consumer products, food, and pharmaceuticals. Herein, we reported that a variety of commonly used commercial inorganic pigments possess peroxidase-like activity, catalyzing hydrogen peroxide (HO) decomposition into reactive oxygen species, primarily hydroxyl radical (OH) and superoxide radical anion (O).

Efficient construction of high-quality sulfonated porous aromatic frameworks by optimizing the swelling state of porous structures.

Conventional post-modification methods usually face the fundamental challenge of balancing the high content of functional groups and large surface area for porous organic polymers (POPs). The reason, presumably, stems from ineffective and insufficient swelling of the porous structure of POP materials, which is detrimental to mass transfer and modification of functional groups, especially with large-sized ones. It is important to note that significant differences exist in the porous structures of POP materials in a solvent-free state after thermal activation and solvent swelling state.

A lightweight semi-active ankle exoskeleton utilized NiTiCu-based shape memory alloys for energy storage.

Nowadays, exoskeletons have a place in many fields, such as industrial production, medical rehabilitation, and military. However, there are still many shortcomings in the existing exoskeleton, such as heavyweight and complex structures for active exoskeleton. The driving ability of passive exoskeletons is limited.

Enhanced Degradation of Norfloxacin Under Visible Light by S-Scheme FeO/g-CN Heterojunctions.

S-scheme FeO/g-CN heterojunctions were successfully fabricated by the ultrasonic assistance method to remove norfloxacin (NOR) under visible light irradiation. The synthesized catalysts were well studied through various techniques. The obtained FeO/g-CN heterojunctions exhibited an optimal photocatalytic degradation of 94.

Spatial pattern and compositional distribution of organochlorine pesticides in the black soil region of Shenyang.

Organochlorine pesticides (OCPs) are persistent organic pollutants (POPs) prevalent in soils with carcinogenic, teratogenic and mutagenic hazards that are commonly found in soils and remain in the environment even though they have been banned. In order to fill the gap of fewer studies after the ban, soil samples were collected from 308 agricultural fields of cash crops and grain crops in the black soil area of Shenyang City (Liaozhong District, Faku County, Xinmin City and Kangping County) in this study. The aim was to determine, the use and distribution characteristics of OCPs in agricultural soils in the black soil region of Shenyang City.

Recent Progress of Three-Dimensional Graphene-Based Composites for Photocatalysis.

Converting solar energy into fuels/chemicals through photochemical approaches holds significant promise for addressing global energy demands. Currently, semiconductor photocatalysis combined with redox techniques has been intensively researched in pollutant degradation and secondary energy generation owing to its dual advantages of oxidizability and reducibility; however, challenges remain, particularly with improving conversion efficiency. Since graphene's initial introduction in 2004, three-dimensional (3D) graphene-based photocatalysts have garnered considerable attention due to their exceptional properties, such as their large specific surface area, abundant pore structure, diverse surface chemistry, adjustable band gap, and high electrical conductivity.

Fate of arsenic in contaminated coastal soil induced by rising temperature and seawater intrusion.

Temperature rising and seawater intrusion are expected to influence the hydrologic regime and redox conditions in coastal soil, and the fate and mechanisms of biogeochemical cycling of Arsenic (As) in the specific environment are poorly understood. This work was carried out in an anaerobic operating chamber by adding sulfate to simulate seawater intrusion under various temperature. Results demonstrated the microbial community diversity was influenced by temperature and the highest Shannon and lowest Simpson index were found at 28 °C.

Enhancing the Photocatalytic Performance for Norfloxacin Degradation by Fabricating S-Scheme ZnO/BiOCl Heterojunction.

Construction of S-scheme heterojunctions can effectively limit the recombination of photogenerated e and h, thus improving photocatalytic activity. Therefore, S-scheme ZnO/BiOCl (molar ratio = 1:2) n-n heterojunctions were synthesized via a hydrothermal-hydrolysis combined method in this study. The physical and chemical properties of the ZnO/BiOCl heterojunctions were characterized by XRD, XPS, SEM, TEM, DRS, N adsorption-desorption and ESR.

Molecular simulation study of adsorption-diffusion of CH, CO and HO in gas-fat coal.

In order to clarify the microscopic dynamics mechanism of CH, CO and HO adsorption and diffusion in coal, and to reveal the mechanism of the influence of different temperatures and pressures on the adsorption and diffusion characteristics of coal adsorbed CH, CO and HO molecules. In this paper, the macromolecular structure model of Jixi gas-fat coal was constructed, based on the Giant Canonical Monte Carlo (GCMC) and Molecular Dynamics (MD) methods. The adsorption-diffusion characteristics of CH,CO and HO single-component gases in the gas-fat coal macromolecule model at temperatures ranging from 273.

Molybdenum doping leads to faster photo-dissolution of commercial molybdate red pigment than chrome yellow pigment under sunlight irradiation.

The photo-dissolution of lead chromate pigments poses specific environmental hazards. In this study, we report that doping molybdenum in lead chromate pigments, resulting in commonly known molybdate red pigment, increases the risk of heavy metal leaching when exposed to light. Commercial molybdate red pigments undergo photo-dissolution when exposed to simulated sunlight and exhibit lower photostability compared to lead chromate pigments such as chrome yellow.

Automated High-Throughput Atomic Force Microscopy Single-Cell Nanomechanical Assay Enabled by Deep Learning-Based Optical Image Recognition.

Mechanical forces are essential for life activities, and the mechanical phenotypes of single cells are increasingly gaining attention. Atomic force microscopy (AFM) has been a standard method for single-cell nanomechanical assays, but its efficiency is limited due to its reliance on manual operation. Here, we present a study of deep learning image recognition-assisted AFM that enables automated high-throughput single-cell nanomechanical measurements.

Histopathologic Differential Diagnosis and Estrogen Receptor/Progesterone Receptor Immunohistochemical Evaluation of Breast Carcinoma Using a Deep Learning-Based Artificial Intelligence Architecture.

In breast carcinoma, invasive ductal carcinoma (IDC) is the most common histopathologic subtype, and ductal carcinoma in situ (DCIS) is a precursor of IDC. These two often occur concomitantly. The immunohistochemical staining of estrogen receptor (ER)/progesterone receptor (PR) in IDC/DCIS on histopathologic whole slide images (WSIs) can predict the prognosis of patients.

Synthesis and Upconversion Luminescence Fine-tuning of Yb/Ho-Doped Indium and Gallium Oxide Nanoparticles.

Rare earth (RE) dopants can modulate the bandgap of oxides of indium and gallium and provide extra upconversion luminescence (UCL) abilities. However, relevant UCL fine-tuning strategies and energy mechanisms have been less studied. In this research, InGaO, Ho monodoped and Yb/Ho codoped InO, and Ho monodoped YbGaO nanoparticles (NPs) were synthesized by a solvothermal method.

Mechanical Properties of Ultra-High-Performance Concrete with Amorphous Alloy Fiber: Surface Modification by Silane Coupling Agent KH-550.

Amorphous alloy fiber has the advantages of high tensile strength and high corrosion resistance compared with steel fiber, but its interfacial bonding with cement matrix is poor and requires surface modification treatment. In this study, the surface modification of amorphous alloy fiber was carried out by using silane coupling agent KH-550 solution, and its effect on the mechanical properties of ultra-high-performance concrete was investigated. The results showed that the amorphous alloy fibers modified with 15% concentration silane coupling agent KH-550 solution can effectively improve the mechanical properties of the ultra-high-performance concrete, where the interfacial bond strength with the cement matrix reached 3.

Efficient Detection of Malicious Traffic Using a Decision Tree-Based Proximal Policy Optimisation Algorithm: A Deep Reinforcement Learning Malicious Traffic Detection Model Incorporating Entropy.

With the popularity of the Internet and the increase in the level of information technology, cyber attacks have become an increasingly serious problem. They pose a great threat to the security of individuals, enterprises, and the state. This has made network intrusion detection technology critically important.

Device Stability and Photoelectric Conversion Evolution of PM6 Solar Cells Based on Different Acceptors.

To understand the effects of acceptors on morphology aging, photoelectric conversion evolution, and stability of PM6-based solar cells, multiple characterization techniques, including morphology, transient absorption, and electrical characterizations, were conducted to analyze the correlation among morphology aging, photoelectric conversion evolution, and performance degradation of devices. The results demonstrated that the morphology features of PM6:Y6 and PM6:PCBM active layers would change with time due to their unstable bulk heterojunction structures. The unstable active layers determined the evolution of photoelectric conversion and the stability of the devices.

Dynamometer card generation for pumping units based on CNN and electrical parameters.

In the actual production process of oil fields, the real-time and accurate acquisition of dynamic recorder data from the pumping unit is of great significance for the diagnosis of well failures. The traditional method of obtaining the card of the dynamometer usually includes installing a load sensor on the auxiliary head of the pumping unit. However, due to the harsh environment of the oil field production site, these load sensors often suffer from damage, distortion, and aging, resulting in large measurement errors and low reliability.