Review of bamboo-feeding leafhoppers of the genus Mukaria (Hemiptera: Cicadellidae: Deltocephalinae) in China, with description two new species.

Two new species, Mukaria creagra Zhao, Luo & Chen sp. nov. and Mukaria striola Zhao, Luo & Chen sp.

Five new species of the genus Champion, 1923 from Guizhou Province, China (Coleoptera, Elmidae).

The genus Champion, 1923 comprises 60 described species distributed across the Oriental and Palearctic regions. Species diversity is very high in mainland China, with 28 recorded species. Here, the results of the aquatic beetle survey in Guizhou Province are presented; they began in 2021, when we collected more than 5000 specimens of riffle beetle.

Three new species of the genus Huang & Ding, 1979 (Hemiptera, Fulgoroidea, Delphacidae, Tropidocephalini) from China, with an updated checklist and key to species.

In this study, three new bamboo-feeding species of the genus Huang & Ding, 1979 (Hemiptera, Fulgoroidea, Delphacidae, Tropidocephalini), Lv, Li & Chen, , Lv, Li & Chen, and Lv, Li & Chen, from Southwest China, are described and illustrated, bringing the total number of species in the genus to 34. An updated identification key and checklist to all known species of are provided.

A new species of Stål, 1866 (Hemiptera, Fulgoromorpha, Dictyopharidae), supplemented with mitogenome data from China.

A new planthopper species, Zheng & Chen, , is described and illustrated from Yunnan, China. A key to differentiate species within the genus is provided. The geographical distribution of species and mitochondrial genome data of the newly described species are also included.

Globally suitable areas for based on an optimized Maxent model.

, a globally invasive pest, has caused considerable economic losses in many countries. Determining the potential distribution range of is crucial for its effective management and control; however, our understanding of this species remains limited. In this study, Maxent model with occurrence records and environmental variables were fit first and then optimized by selecting the best combination of feature classes and regularization multipliers using the lowest score of corrected Akaike information criterion.

Unveiling responses and mechanisms of spice crop chive exposure to three typical pesticides using metabolomics combined with transcriptomics, physiology and biochemistry.

Pesticides are frequently used to control target pests in the production of spice crops such as chives (Allium ascalonicum). However, little information is available on the responses and underlying mechanisms of pesticide exposure in this crop. Our findings revealed that the uptake, transportation, and subcellular distribution of three typical pesticides-the fungicide pyraclostrobin (PAL), insecticide acetamiprid (ATP), and herbicide pendimethalin (PND) in chives, as well as their physiological, biochemical, metabolic, and transcriptomic responses-were dependent on pesticide properties, especially hydrophobicity.

Effects of flowering period on floral traits, pollinator behavior and seed production of David's mountain laurel ().

is a cross-pollinated plant with important ecological protection and medicinal value in China, but its seed yield is low due to backward and nonstandard production technology. Therefore, we divide the flowering period of into initial, full and final flowering period, measuring the floral morphology, pollen viability, stigma receptivity, nectar volume and nectar concentration, foraging behavior of pollinators, fertilization physiology, seed yield and quality through field observation and indoor testing to explore whether the flowering period affects the floral traits, pollinator behavior and seed production of plants. Our results revealed that the nectar volume, nectar concentration, pollen viability and stigma receptivity at full flowering period were the highest.

Current and future potential distribution of two bamboo pests in China: and (Hemiptera, Cicadellidae).

China's bamboo output is closely associated with its national economy; however, it is currently rapidly declining due to damage from the pests and . Identifying regions that are environmentally suitable for these pests is a critical step in their effective control. Therefore, in this study, we used a Maxent model to predict their current and future potential areas of distribution (2021-2040, 2041-2060, and 2061-2080) and explored changes over time using distribution data and related environmental variables.

A Farnesyl Pyrophosphate Synthase Gene Is Expressed in Fat Body Regulates Cantharidin Synthesis in Male Blister Beetle.

Blister beetles of have attracted attention because they contain a large amount of cantharidin (CTD). To date, however, the synthesis and transfer of CTD in adults of are largely unknown. Here, we showed that the larvae are capable of synthesizing CTD and they consume CTD during pupation.

Predicting suitable areas for Metcalfa pruinosa (Hemiptera: Flatidae) under climate change and implications for management.

Climate change is a prominent factor reshaping the distribution of invasive species. Metcalfa pruinosa (Say 1830) (Hemiptera: Flatidae), native to North America, has invaded other continents and poses a serious threat to various agricultural crops and the human residential environment. Understanding the distribution of M.

Colony performance of three native bumblebee species from South China and association with their gut microbiome.

Bumblebees play an important ecological economic role as pollinators in nature and agriculture. For reasons of biosecurity, many countries promote the cultivation of native bumblebee species for crop pollination instead of importing "alien" species. In South China, a few bumblebee species are considered useful in this way, particularly, Bombus atripes, Bombus bicoloratus and Bombus breviceps.

Biology of Callistethus plagiicollis (Coleoptera: Scarabaeoidea: Rutelinae) and comparative morphology of its larvae.

Larvae of the beetle subfamily Rutelinae are poorly described in the literature. Notably, the morphology of the larvae of Callistethus plagiicollis Fairmaire has not previously been analyzed. Here, we report for the first time that these larvae feed on the tubers and roots of Gastrodia elata Blume, an important traditional Chinese herbal medicine, which causes a reduction in the yield and economic value of G.

A new species of the genus Macronychus Mller, 1806 from China (Coleoptera, Elmidae).

Macronychus xuhaoi sp. nov., a new species of the genus Macronychus Mller, 1806 is described from Xizang, Southwest China.

Two new species of the planthopper genus Metanigrus Tsaur, Yang & Wilson from China (Hemiptera: Fulgoromorpha: Meenoplidae), with an updated checklist and key to species.

Two new species of genus Metanigrus Tsaur, Yang & Wilson, 1986 (Fulgoromorpha, Meenoplidae), M. afflatus sp. nov.

Using Self-Reported Sexual Positioning as an Indicator for Rectal Chlamydia and Gonorrhea Screening Among Men Who Have Sex With Men in China: A Missed Opportunity.

Background: Rectal Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) infections among men who have sex with men (MSM) are escalating public health concerns. This study aimed to explore (1) the reliability of self-reported sexual positioning as an indicator for rectal CT and NG screening, and (2) factors associated with rectal CT and NG infections in Shenzhen, China.

Methods: A cross-sectional study was conducted in 2 settings in Shenzhen, China, from April 1, 2021, to March 31, 2022.

Two new species of the bamboo-feeding planthopper genus Ding & Yang from China (Hemiptera, Fulgoromorpha, Delphacidae).

Two new species of the bamboo-feeding genus Ding & Yang, 1986, and , are described and illustrated from China. A key based on the male genitalia is given to distinguish species of this genus and a map provided to show their geographic distribution. Habitus photos for adults and illustrations of male genitalia are also given.

An Automated Instance Segmentation Method for Crack Detection Integrated with CrackMover Data Augmentation.

Crack detection plays a critical role in ensuring road safety and maintenance. Traditional, manual, and semi-automatic detection methods have proven inefficient. Nowadays, the emergence of deep learning techniques has opened up new possibilities for automatic crack detection.