A multi-strategy improved snake optimizer and its application to SVM parameter selection.

Support vector machine (SVM) is an effective classification tool and maturely used in various fields. However, its performance is very sensitive to parameters. As a newly proposed swarm intelligence algorithm, snake optimizer algorithm (SO) can help to solve the parameter selection problem.

Dimethomorph induces heart and vascular developmental defects by disrupting thyroid hormone in zebrafish embryos.

Dimethomorph (DMT) is a widely-used selective active fungicide that effectively controls downy mildew, crown rot, and late blight in crops. The extensive application of DMT raises concerns about its ecological impact on non-target organisms in the environment. However, there is limited understanding of the toxicological properties of DMT on these organisms.

Study on the changes of miRNAs and their target genes in regulating anthocyanin synthesis during purple discoloration of cauliflower curd under low temperature stress.

Introduction: Cauliflower is widely cultivated all over the world is attributed to its palatable flavor, high levels of anti-cancer compounds, and diverse array of nutrients. Exposure to extremely cold stress during production can result in a more frequent occurrence of purple discoloration in cauliflower curds. In response to cold stress, plants naturally produce anthocyanins to eliminate reactive oxygen species (ROS) generated as a defense mechanism.

A 2.9 Mb Chromosomal Segment Deletion Is Responsible for Early Ripening and Deep Red Fruit in .

Sweet orange () is an economically important fruit crop worldwide. Mining for genes associated with ripening periods and fruit color traits is crucial for plant genetics and for the improvement of external fruit quality traits. The present study identified a novel navel orange accession, designated as Ganhong, with early ripening and deep red fruit traits.

Syngas from Reforming Methane and Carbon Dioxide on Ni@M(SiO and CeO).

The accumulation of greenhouse gasses (CH and CO) results in an increase in the temperature of the atmosphere. The conversion of greenhouse gasses into chemicals and fuels with high added value benefits not only the environment but also energy development. A promising and well-studied process is the reforming of methane, where CH and CO are converted into syngas (CO and H).

Ensemble learning based on bi-directional gated recurrent unit and convolutional neural network with word embedding module for bioactive peptide prediction.

Bioactive peptides, as small protein fragments, are essential mediators of diverse physiological activities, such as antimicrobial, anti-inflammatory, anticancer, antioxidant, and immunomodulatory functions. Despite their substantial potential in pharmaceuticals and the food industry, conventional methods for peptide classification and activity prediction are limited by high costs, time-intensive procedures, and extensive data processing requirements. Here, we present BioPepPred-DLEmb, a novel computational model integrating Convolutional Neural Networks (CNNs) and Bidirectional Gated Recurrent Units (BiGRUs), augmented with natural language processing to encode amino acids into information-dense vectors.

The transcription factor TGA2 orchestrates salicylic acid signal to regulate cold-induced proline accumulation in Citrus.

Plants subjected to cold stress have been observed to accumulate proline, but the underlying regulatory mechanism remains to be elucidated. In this study, we identified a pyrroline-5-carboxylate synthetase (P5CS)-encoding gene (CtrP5CS1) from trifoliate orange (Citrus trifoliata L.), a cold-hardy citrus species, as a critical gene for cold-induced proline accumulation.

RSRNeT: a novel multi-modal network framework for named entity recognition and relation extraction.

Named entity recognition (NER) and relation extraction (RE) are two important technologies employed in knowledge extraction for constructing knowledge graphs. Uni-modal NER and RE approaches solely rely on text information for knowledge extraction, leading to various limitations, such as suboptimal performance and low efficiency in recognizing polysemous words. With the development of multi-modal learning, multi-modal named entity recognition (MNER) and multi-modal relation extraction (MRE) have been introduced to improve recognition performance.

Synergistic effect of W(VI) and Ni(II) uptakes on an MgAl-layered double hydroxide.

The coadsorption of anionic and cationic pollutants on adsorbents holds considerable importance in the development of relevant removal technologies and the understanding of pollutant transport in complex environmental media. Herein, tungsten (W), an emerging contaminant, and nickel (Ni) were chosen as two differently charged inorganic pollutants to investigate their removal characteristics on a magnesium-aluminum layered double hydroxide (LDH) prepared via microwave radiation. In the single systems, the amount of adsorbed W on LDH was initially increased and then decreased with increasing initial W concentration.

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.

Longitudinal associations between parental attachment and adolescents' pro-bullying bystander behaviors: The mediating role of moral disengagement.

Background: Pro-bullying bystander behaviors refer to actively taking the bullies' side when the bullying occurs, such as joining in the bullying or assisting the bullies by laughing or cheering. Previous studies have indicated that pro-bullying bystander behaviors might increase the incidence and intensity of bullying directly. Poor-quality parental attachment has been found to predict adolescents' pro-bullying bystander behaviors.

Reaction-Diffusion and Crystallization Kinetics Modulation of Two-Step Deposited Tin-Based Perovskite Film via Reducing Atmosphere.

The two-step deposition method effectively mitigates the efficiency decline observed in tin-based perovskite solar cells (TPVSCs) with increasing cell area, stemming from film in-homogeneity. However, the high solubility of SnI in the conventionally used solvent isopropyl alcohol, coupled with the absence of effective modulation of reaction-diffusion process, results in inadequate film coverage and conversion. In this study, we introduce formic acid as the second-step solvent and introduce dithiothreitol (DTT) to regulate reaction-diffusion/crystallization kinetics meticulously.

Regulated solvation structure and solid electrolyte interfaces via imidazolium ionic gel electrolytes with high Li-ion transference number for Li-metal batteries.

Solid lithium metal batteries (LMBs) are faced with problems such as the solvation structure of lithium ion and the instability of solid electrolyte interface (SEI), which lead to poor cycling stability and anode interface damage. Here, the introduced 1-ethyl-3-methylimidazolium bis(fluorosulfonyl)imide ([EMIM][FSI]) ionic liquid (IL) interacts strongly with Lithium salt to form a new ionic gel electrolyte (IGE) based on the poly (vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP), which facilitates the excellent Li-ion transference number up to 0.506 and improves the mechanical properties.

Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China.

Background: Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. Previous studies have indicated that optimizing land use structure and quality is essential for regional carbon storage management. Taking the core area of Taihu Bay as study area, this study innovatively combined high-precision urban 3D data to account for the whole urban carbon pools of buildings, vegetation, soils, water.

Data-driven models for forecasting algal biomass in a large and deep reservoir.

Early warning of algal biomass is important for the preservation and management of drinking water. However, accurate prediction of algal biomass in large and deep reservoirs remains a challenge. Here, we used six years of high-frequency observations (30 min/time) to train long short-term memory (LSTM) models for forecasting chlorophyll-a concentration (C) and column-integrated C (CIC) for a large and deep Chinese reservoir (Xin'anjiang Reservoir).

Complete genome sequence of a new poacevirus infecting wild oat (Avena fatua L.) in France.

Using a high-throughput sequencing (HTS) approach, we report the discovery of a new poacevirus (family Potyviridae) in symptomatic wild oat (Avena fatua L.) plants collected near Bordeaux, France, in June 2023. A nearly complete genome sequence of 10,292 nucleotides (nt) was obtained.

A new species of Huber, 2005 (Araneae, Pholcidae) from Jiangxi Qiyunshan National Nature Reserve, southern China.

Background: Huber, 2005 contains 52 species distributed in Cambodia, China, Laos, Thailand and Vietnam, out of which about 34 species have been recorded from China. It can be distinguished from all other genera of Pholcidae by the male chelicerae with lateral ledges and the cheliceral apophyses with cuticular ridges or scales. The femur of the male palp features a retrolateral apophysis.

Visualization Methods for DNA Sequences: A Review and Prospects.

The efficient analysis and interpretation of biological sequence data remain major challenges in bioinformatics. Graphical representation, as an emerging and effective visualization technique, offers a more intuitive method for analyzing DNA sequences. However, many visualization approaches are dispersed across research databases, requiring urgent organization, integration, and analysis.

Swiftly Manipulates the Transcriptional Regulation in During the Early Infection Stage.

spp. represent an economically important fruit tree crop worldwide. However, molecular mechanisms underlying the interaction between citrus and the remain largely unexplored.

Associations between body mass index and physical fitness indicators among Chinese university students: a multicenter cross-sectional study.

Background: Increasing body mass index (BMI) has many negative effects on the physical and mental health of university students and has become a common public health problem in all countries. However, there are few studies on the association between BMI and physical fitness indicators among Chinese university students in developing countries, and the findings are inconsistent. The present study aims to analyze the association between BMI and physical fitness indicators among Chinese university students, to assist in university students' health development and intervention.

Transcriptomic analysis reveals differential transcriptional regulation underlying Citrus Bacterial Canker (CBC) tolerance in Citrus sinensis.

The sustainable development of the citrus industry is greatly affected by citrus canker, an important bacterial disease. To explore the transcriptional regulatory mechanism of citrus resistance to canker disease, this study used the susceptible Citrus sinensis cv. 'Newhall' and its citrus canker-resistant bud mutation variety 'Longhuitian' (LHT) as materials.

Basketball robot object detection and distance measurement based on ROS and IBN-YOLOv5s algorithms.

With the combination of artificial intelligence and robotics technology, more and more professional robots are entering the public eye. Basketball robot competition, as a very good target system for autonomous robot research, is very suitable for conducting research on robot autonomous perception system object detection. However, traditional basketball robots have problems such as recognition difficulties, which seriously affect the recognition of robot targets and distance measurement based on recognition.