Challenges and Solutions: China’s Illegal Hunting Crime from the Perspective of Ecological Civilization Development

In recent years, the number of crimes involving illegal hunting in China’s judicial system has steadily increased, giving rise to numerous disputes. The root of these disputes lies in the fact that China’s Criminal Law lags in terms of animal protection legislation, failing to strike a balance between wildlife protection and human rights. This disconnection is particularly evident in the legislation and judicial practice regarding illegal hunting crimes and the value principles of ecological civilization strongly advocated by China. Moreover, China’s legal framework and judicial practices concerning illegal hunting crimes suffer from low thresholds for conviction and a lack of comprehensive investigations into the subjective intentions of offenders. Chinese legislators and judges should consider international experiences in combating illegal hunting crimes, elucidate the right to defend oneself against wildlife in certain dangerous situations, and thoroughly revise legal provisions, including the definition of illegal hunting and related judicial interpretations. Additionally, greater efforts should be made to disseminate public legal knowledge regarding illegal hunting crimes.

Acute Exacerbations of Interstitial Lung Disease: Evolving Perspectives on Diagnosis and Management

Interstitial lung diseases (ILDs) are a heterogeneous group of chronic lung diseases caused by several potential etiologies but for many, the cause of a given ILD remains unknown. Accurate epidemiologic data are hard to find because of varying definitions, overlapping characteristics once thought to be unique to specific diseases, and ongoing changes in how ILDs are diagnosed and managed. In addition, there are significant variations in prevalence among different geographic populations, likely reflecting a combination of genetic and environmental differences. Certain risk factors, including exposure to cigarette smoke or environmental toxicants (asbestos, silica, fracking, coal dust, and air pollution), genetic mutations, and single nucleotide polymorphisms, have all been associated with developing interstitial lung disease. Due to the availability of high-resolution computed tomography (CT) scans, earlier and broader recognition of subtle imaging changes, and an aging worldwide population, the incidence and prevalence of ILDs are increasing. While a given cause of particular interstitial lung disease may vary, patients often experience breathlessness and a non-productive cough due to impaired alveolar gas exchange. Patients with ILD are prone to the development of acute exacerbations, marked by acute or chronic respiratory failure because of an acute exacerbation of the underlying lung disease. In this review, we discuss the definition of an acute exacerbation and comment on what is known about the underlying pathophysiology in exacerbations of idiopathic pulmonary fibrosis and other ILDs. We also emphasize the similarities in the clinical presentation of the acute exacerbations regardless of the underlying ILD, highlight key prognostic features of the diagnosis, and underscore the importance of interdisciplinary management of acute interstitial lung disease exacerbations.

Conservation and Efficiency before Transition

Modeling Viscosity in Starch-Polymer Suspensions: A Comparative Analysis of Swarm Algorithm-Aided ANN Optimization

The analysis of rheological properties of suspensions requires the use of models such as Einstein’s formulation for viscosity in dilute conditions, but its effectiveness diminishes in the context of concentrated suspensions. This study investigates the rheology of suspensions containing solid particles in aqueous media thickened with starch nanoparticles (SNP). The goal is to model the viscosity of these mixtures across a range of shear rates and varying amounts of SNP and SG hollow spheres (SGHP). Artificial neural networks (ANN) combined with swarm intelligence algorithms were used for viscosity modeling, utilizing 1104 data points. Key features include SNP proportion, SGHP content, log-transformed shear rate (LogSR), and log-transformed viscosity (LogViscosity) as an output. Three swarm algorithms—AntLion Optimizer (ALO), Particle Swarm Optimizer (PSO), and Dragonfly Algorithm (DA)—were evaluated for optimizing ANN hyperparameters. The ALO algorithm proved most effective, demonstrating strong convergence, exploration, and exploitation. Comparative analysis of ANN models revealed the superior performance of ANN-ALO, with an R² of 0.9861, mean absolute error (MAE) of 0.1013, root mean absolute error (RMSE) of 0.1356, and mean absolute percentage error (MAPE) of 3.198%. While all models showed high predictive accuracy, the ANN-PSO model had more limitations. These findings enhance understanding of starch suspension rheology, offering potential applications in materials science.

The Notch3 Pathway in Organ Fibrosis

Fibrosis occurs in many organs, including the lung, heart, skin, liver or kidney, and is characterized by progressive tissue scarring in response to repetitive or chronic non-resolving injury, ultimately leading to organ failure and death. It is, in fact, a major cause of morbidity and mortality worldwide, being estimated to account for 45% of deaths in the world. Despite this fact, little progress has been made therapeutically, and fibrosis remains a major clinical and therapeutic challenge. Although significant advances in our understanding of cellular and molecular mechanisms driving tissue fibrosis have been made, the lack of an efficient treatment reflects the limited insight into the pathophysiological mechanisms underlying the initiation and progression of the fibrotic process. Thus, there is an urgent need for better understanding of tissue fibrosis and repair mechanisms that later lead to the development of new therapeutic approaches to fight fibrosis. The Notch pathway is a highly conserved signaling pathway that has been linked to tissue fibrosis in many organs and promises to open new therapeutic opportunities. This manuscript reviews the relevance of Notch signaling in the development and progression of tissue fibrosis in several organs with a special focus on the Notch3 pathway due to the unique features of this receptor.

Engineering of Cu-Based Quaternary Sulfide Nanomaterials for Photocatalytic Applications

Semiconductor nanomaterials have been widely used as light-responsive photocatalysts for solar-to-fuel conversion over the past decade. However, the wide band gap of the most reported photocatalysts stems from light absorption in the visible region and results in low solar conversion efficiency. Therefore, it is necessary to develop new semiconductor nanomaterials with high absorption coefficients over the visible region as photocatalysts. The most promising candidates include Cu-based quaternary sulfide nanomaterials (CQSNs), such as Cu-II-III-S (e.g., CuZnInS, CuZnGaS), Cu-II-IV-S (e.g., Cu₂ZnSnS₄, Cu₂ZnGeS₄), and I-III-IV-S (e.g., CuInSnS₄, Cu₃GaSnS₅). This review provides a comprehensive overview of the recent progress in developing CQSNs for various photocatalytic applications. Firstly, we present an overview of the synthesis of CQSNs with precise control over crystal phase, composition, size, and shape using solution-based methods. Then, the enhancement of photocatalytic performance was presented via the engineering of CQSNs, which included surface engineering, elemental doping, cocatalyst loading, vacancy engineering, and interface engineering. Subsequently, we further introduce the photocatalytic applications in the fields of photocatalytic and photoelectrochemical hydrogen conversion, CO₂ reduction, organic synthesis, and pollutant degradation. Lastly, this review ends with views on the current challenges and opportunities of CQSNs in future studies.

Multi-Objective Distributed Real-Time Trajectory Planning for Gliding Aircraft Cluster

A new combat strategy that enables coordinated operations of gliding aircraft clusters for multi-target strikes imposes higher demands on the coordination, real-time responsiveness, and strike accuracy of gliding aircraft clusters. Due to the high speed and large inertia characteristics of gliding aircraft, traditional trajectory planning methods often face challenges such as long computation times and difficulty in responding to dynamic environments in real-time when dealing with large-scale gliding aircraft clusters. This paper proposes a distributed cooperative trajectory planning method for multi-target strikes by gliding aircraft clusters to address this issue. By introducing a multi-objective distributed real-time trajectory planning approach based on Multi-Agent Deep Deterministic Policy Gradients (MADDPG), the gliding aircraft execute distributed cooperative trajectory planning based on the trained model. Due to its robust real-time performance, the gliding aircraft do not need to recalculate trajectories for different initial positions of the cluster. Simulation results show that the average error between the gliding aircraft cluster and the target point is 2.1 km, with a minimum error of 0.06 km and a hit rate of 96.6%, verifying the significant advantages of this method in real-time planning capability and strike accuracy.

Stable Boundaries of Phragmites australis Marsh Development after Peat Mining in a Northern Japan Bog

Since Phragmites australis often develop marshes soon after human disturbances, such as peat mining in bogs, the establishment patterns should be clarified for restoration purposes. The inside and outside boundaries of P. australis marshes were investigated following peat mining in Sarobetsu mire, northern Japan, in 2016 and 2017. The boundaries of marshes did not move during the two years, due mostly to the slow expansion of shoots. Various vegetation types developed outside of the marsh. P. australis coexisted with neither ericaceous nor carnivorous plants, which favor Sphagnum bogs. The succession in the marsh did not progress the original bogs. P. australis dispersed seeds mostly within the marshes, suggesting limited dispersal, and developed transient seed bank. Therefore, seed dispersal (sexual reproduction) and rhizomes (vegetative reproduction) contributed to population maintenance rather than population enlargement during the studied period. Peat moisture was higher in the marsh, whereas photosynthetic active radiation was lower. Water levels did not differ between inside and outside the marshes. Chemical properties in peat water were not different between inside and outside the marshes. Therefore, water chemistry and levels did not adequately explain the marsh development. These results suggest that, for wetland restoration, environmental manipulation is ineffective in reducing P. australis and unpredictable or stochastic events alter the dynamics of P. australis marshes.

Sex and Gender Differences in Liver Fibrosis: Pathomechanisms and Clinical Outcomes

The accumulation of extracellular matrix proteins is the hallmark of liver fibrosis associated with all chronic liver disease (CLD) types. Liver fibrosis results from repeated bouts of liver injury, which trigger the wound-healing response, ultimately disrupting the normal hepatic architecture. Over time, fibrosis can progress to cirrhosis, portal hypertension, liver failure, and hepatocellular carcinoma, worsening patient outcomes. Biological modifiers, such as sex and socio-cultural constructs like gender, influence the development of liver fibrosis through various genetic, hormonal, immunological, metabolic, and lifestyle-related factors, including alcohol consumption, diet, sedentary behavior, and hormonal therapy. Moreover, liver fibrosis is significantly modulated by age, reproductive status, and the etiology of CLD. This review aims to summarize the most well-characterized pathomechanisms underlying sex and gender differences in hepatic fibrogenesis as well as liver-related complications (cirrhosis, portal hypertension, hepatic encephalopathy, liver failure, and hepatocellular carcinoma) and extra-hepatic correlates of liver fibrosis (sarcopenia, cardiovascular disease, diabetes, chronic kidney disease, and dementia) across various types of CLD due to viral-related, autoimmune, drug-induced and metabolic etiologies. Understanding these disease modifiers and their mechanisms is crucial for developing innovative treatment strategies and precision medicine approaches in this field.

Photocatalytic Antifouling Coating: From Fundamentals to Applications

With the rapid development of shipping industry, marine vessels frequently suffer from biofouling caused by marine organisms, making the effective prevention of marine biofouling a critical issue. Traditional antifouling coatings, which utilize toxic and harmful substances, pose significant risks to marine ecosystems. Therefore, the development of environmentally sustainable antifouling coatings has become imperative. Photocatalytic antifouling coatings, as an eco-friendly alternative, present a promising solution to these economic, energy, and ecological challenges. This review compares the environmental benefits of photocatalytic antifouling coatings to traditional ones, highlighting the underlying mechanisms of marine biofouling. Additionally, it explores the preparation techniques employed in photocatalytic antifoulant, analyzing the advantages, disadvantages, and potential modifications for photocatalytic coatings. Based on these insights, the future development of photocatalytic antifouling coatings is discussed, aiming to provide valuable references for the exploration of more efficient, broad-spectrum, energy-saving, environmentally friendly, and cost-effective marine antifouling technologies.