Bone tissue engineering (BTE) is an optimized approach for bone regeneration to overcome the disadvantages of lacking donors. Biocompatibility, biodegradability, simulation of extracellular matrix (ECM), and excellent mechanical properties are essential characteristics of BTE scaffold, sometimes including drug loading capacity. Electrospinning is a simple technique to prepare fibrous scaffolds because of its efficiency, adaptability, and flexible preparation of electrospinning solution. Recent studies about electrospinning in BTE are summarized in this review. First, we summarized various types of polymers used in electrospinning and methods of electrospinning in recent work. Then, we divided them into three parts according to their main role in BTE, (1) ECM simulation, (2) mechanical support, and (3) drug delivery system.

Microplastics (MPs) have emerged as a critical environmental challenge in China’s aquatic ecosystems, driven by rapid industrialization and population growth. This review synthesizes recent findings on the abundance, morphology, and polymer types of MPs in China’s freshwater systems (rivers, lakes, reservoirs) and coastal marine environments. Spatial analysis reveals significant variability in MP abundance, ranging from 0.1 items/L in Tibet’s Lalu Wetland to 30.8 items/L in Beijing’s Qinghe River, with polypropylene (PP) and polyethylene (PE) dominating polymer profiles. Coastal regions exhibit distinct contamination patterns, with the Yellow Sea (5.3 ± 2.0 items/L) and the South China Sea (180 ± 80 items/m³) showing the highest MP loads, primarily as fibers and fragments. Fluvial transport, atmospheric deposition, and coastal anthropogenic activities (e.g., fisheries, tourism) are identified as major pathways for marine MP influx. Secondary MPs from degraded plastics and primary MPs from industrial/domestic effluents pose synergistic risks through the adsorption of heavy metals and organic pollutants. Human exposure routes—ingestion, inhalation, and dermal contact—are linked to inflammatory, metabolic, and carcinogenic health outcomes. Policy interventions, including bans on microbeads and non-degradable plastics, demonstrate progress in pollution mitigation. This work underscores the urgency of integrated source control, advanced wastewater treatment, and transboundary monitoring to address MP contamination in aquatic ecosystems.

Following Article 9.2 of the International Code of Nomenclature for algae, fungi, and plants (Shenzhen Code, 2018), errors in the dates in the protologues of the names of eighteen taxa from China were corrected. They include Aralia plumosa (Araliaceae), Berberis bergmaniae var. acanthophylla (Berberidaceae), Biondia parviurnula (Asclepiadoideae, Apocynaceae), Boottia heterophylla (Hydrocharitacea), Bredia hainanensis (Melastomataceae), Cornus yunnanensis (Cornaceae), Cotoneaster glabrata (Rosaceae), Dendropanax productus (Araliaceae), Dendropanax stellatus (Araliaceae), Hedyotis obliquinervis (Rubiaceae), Hypericum macrosepalum (Clusiaceae), Lonicera flavipes (Caprifoliaceae), Pandanus gressittii (Pandanaceae), Pedicularis membranacea (Scrophulariaceae), Phyllagathis setotheca (Melastomataceae), Phyllagathis xanthotricha (Melastomataceae), Plagiopetalum quadrangulum (Melastomataceae), and Tylophora nana (Asclepiadoideae, Apocynaceae). The holotypes of all eighteen names are at the Harvard University Herbaria.

Sambucus javanica Blume. is a Chinese native medicinal plant with high medicinal value. In this study, the MaxEnt model was used to explore the relationship between the geographical distribution of S. javanica and environmental factors, and to construct the distribution pattern of S. javanica under different climate scenarios. The results showed that the environmental conditions suitable for the distribution of S. javanica were as follows: precipitation in June ranged from 156.36 mm to 383.25 mm; solar radiation in December ranged from 6750.00 kJ·m-2·day-1 to 10521.00 kJ·m-2·day-1; isothermality ranged from 24.06 to 35.50; precipitation of warmest quarter ranged from 447.92 mm to 825.00 mm. Among them, precipitation and temperature were the key environmental factors affecting the distribution patterns of S. javanica. This plant could grow well mainly in two regions in China, covering a total area of 2.73 × 106 km2. The first region mainly consists of Guizhou, western Hubei, southeastern Chongqing, southwestern Hunan, northern Guangxi, and a small part of eastern Yunnan. The second region mainly consists of Zhejiang, southern Anhui, and northern Fujian. Under the future SSP126 and SSP585 scenarios, potentially suitable habitats in the eastern part of the potential distribution of S. javanica (Jiangxi, Fujian, Zhejiang, and Anhui) might be at risk of habitat fragmentation. Based on the result of this study, Real-time monitoring of wild groups of S. javanica is now recommended to protect its genetic diversity. These findings are supposed to promote the effective conservation and utilization of S. javanica in the future.