Understanding the distribution patterns and underlying maintenance mechanisms of insect species is a core issue in the field of insect ecology. However, research gaps remain regarding the ...environmental factors that determine the distribution of insect species along altitudinal gradients in Guandi Mountain, China. Here, we explored these determinants based on the distribution pattern and diversity of insect species from 1600 m to 2800 m in the Guandi Mountain, which covers all typical vegetation ecosystems in this area. Our results showed that the insect community showed certain differentiation characteristics with the altitude gradient. The results of RDA and correlation analysis also support the above speculation and indicate that soil physicochemical properties are closely related to the distribution and diversity of insect taxa orders along the altitude gradient. In addition, the soil temperature showed an obvious decreasing trend with increasing altitude, and temperature was also the most significant environmental factor affecting the insect community structure and diversity on the altitude gradient. These findings provide a reference for exploring the maintenance mechanisms affecting the structure, distribution pattern, and diversity of insect communities in mountain ecosystems, and the effects of global warming on insect communities.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
The oriental fruit moth (OFM), Grapholita molesta (Busck), is one of the dominant fruit-boring pests worldwide. In order to conduct integrated control of OFM effectively, it is important to predict ...the optimum control period. OFM populations have been monitored either by the number of trapped male moths exposed to sex pheromones or by the number of trapped male and female moths using food traps in orchards. The mating status and development stage of the trapped moths have not been characterized. The present paper studies the anatomical morphology of the OFM reproductive system at different development periods. The results revealed that OFM ovarian development can be divided into six stages. The average daily fecundity of OFM had an excellent positive correlation (r = 0.86) with the percentages of OFM in the egg maturation & oviposition stage, which could be used as an indicator in field population prediction work. There were obvious differences in the morphology of the corpus bursa and the heavy muscular area of the ductus ejaculatorius simplex before and after mating, and these differences could be used to increase the accuracy in predicting the optimum OFM control period.
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•The development and reproductivity of C. sasakii on two apple varieties was studied.•C. sasakii on Golden Delicious apple has higher harvest rate and potential harm.•Golden Delicious ...apple is the better economical choice for the mass-rearing system.
Carposina sasakii Matsumura (Lepidoptera: Carposinidae), is one of the most serious fruit-boring pests in over ten species of fruit trees, and is especially damaging apples in the northern of China. The application of new planting systems, i.e., high-density and dwarfing rootstock orchard systems with mixed apple varieties, makes it important to study the fitness of C. sasakii on these apple varieties to gain fundamental knowledge for use in pest management involving this insect. In this study, life table data of C. sasakii were collected using Golden Delicious and Red Fuji apples as hosts. The egg-larva duration of male C. sasakii reared on Golden Delicious apples (22.81 d) was significantly shorter than that reared on Red Fuji apples (24.27 d). The egg-larva mortality in Golden Delicious apples (59.00%) was lower than that in Red Fuji apples (72.49%). The mortality of the pupal stage, however, was higher in Golden Delicious (10.51%) than in Red Fuji (0%). The total oviposition period (TPOP) on Golden Delicious apples (32.94 d) was significantly shorter than in individuals reared on Red Fuji apples (34.19 d). The intrinsic rate of increase (r = 0.0581 d−1), net reproductive rate (R0 = 7.57 offspring), and finite rate of increase (λ = 1.0598 d−1) were all higher on Golden Delicious than those on Red Fuji. When the net reproductive rate (R0) was used, the harvest rate of pupae was higher (0.8678) when reared on Golden Delicious apples than when reared on Red Fuji apples (0.8398). When a large cohort size (n = 200) was used for effective bootstrap sample, the PE values for C. sasakii reared on Golden Delicious apples and Red Fuji apples were both almost equal to 1. For C. sasakii culturing purposes, Golden Delicious apples would be more productive than Red Fuji.
The etiology and outcome of status epilepticus with continuous epileptic spasms have not been fully understood; and only rare cases have been reported in the literature. Here, we described 11 ...children, who manifested continuous epileptic spasms with various etiologies and different outcomes.
This is a case series study designed to systematically review the charts, video-electroencephalography (video-EEG), magnetic resonance images, and longitudinal follow-up of patients who presented continuous epileptic spasms lasting more than 30 min.
Median age at onset was 2 years old, ranging from 2 months to 5.6 years. The etiology of continuous epileptic spasms for these 11 cases consisted of not only some known electro-clinical epilepsy syndromes like West Syndrome and Ohtahara Syndrome, but also secondary symptomatic continuous epileptic spasms, caused by acute encephalitis or encephalopathy, which extends the etiological spectrum of continuous epileptic spasms. The most characteristic feature of these 11 cases was prolonged epileptic spasms, lasting for a median of 13.00 days (95% CI: 7.26-128.22 days). The interictal EEG findings typically manifested as hypsarrhythmia or its variants, including burst suppression. Hospital stays were much longer in acute symptomatic cases than in primary epileptic syndromic cases (59.67 ± 50.82 vs. 15.00 ± 1.41 days). However, the long-term outcomes were extremely poor in the patients with defined electro-clinical epilepsy syndromes, including severe motor and intellectual developmental deficits (follow-up of 4.94 ± 1.56 years), despite early diagnosis and treatment. Continuous epileptic spasms were refractory to corticosteroids, immuno-modulation or immunosuppressive therapies, and ketogenic diet.
Continuous epileptic spasms were associated with severe brain impairments in patients with electro-clinical syndromes; and required long hospital stays in patients with acute symptomatic causes. We suggest to include continuous epileptic spasms in the international classification of status epilepticus, as a special form. Further investigations are required to better recognize this condition, better understand the etiology, as well as to explore more effective treatments to improve outcomes.
Plastic polymers are widely used in agriculture, industry, and our daily life because of their convenient and economic properties. However, pollution caused by plastic polymers, especially ...polyethylene (PE), affects both animal and human health when they aggregate in the environment, as they are not easily degraded under natural conditions. In this study,
sp. D1 was isolated from the guts of wax moth (
). Microbial colonies formed around a PE film after 14 days of cultivation with D1. Roughness, depressions, and cracks were detected on the surface of the PE film by scanning electron microscopy (SEM) and atomic force microscopy (AFM). Fourier transform infrared spectroscopy (FTIR) showed the presence of carbonyl functional groups and ether groups on the PE film that was treated with D1. Liquid chromatography-tandem mass spectrometry (LC-MS) also revealed that the contents of certain alcohols, esters, and acids were increased as a result of the D1 treatment, indicating that oxidation reaction occurred on the surface of the PE film treated with D1 bacteria. These observations confirmed that D1 bacteria has an ability to degrade PE.
Background: Leigh syndrome (LS) is a rare, progressive, and fatal neurodegenerative disease that occurs mainly in infants and children. Neonatal LS has not yet been fully described. Methods: The ...study design was approved by the ethics review board of Shenzhen Children’s Hospital. Results: A 24-day-old full-term male infant presented with a 2-day history of lip cyanosis when crying in September 2021. He was born to nonconsanguineous Asian parents. After birth, the patient was fed poorly. A recurrent decrease in peripheral oxygen saturation and difficulty in weaning from mechanical ventilation during hospitalization were observed. There were no abnormalities on brain magnetic resonance imaging (MRI) or blood and urine organic acid analyses on admission. His lactic acid level increased markedly, and repeat MRI showed symmetrical abnormal signal areas in the bilateral basal ganglia and brainstem with disease progression. Trio whole-exome sequencing revealed 2 heterozygous mutations (c.64C > T p.R22X and c.584T > C p.L195S) in NDUFS1 . Based on these findings, mitochondrial respiratory chain complex I deficiency-related LS was diagnosed. The patient underwent tracheal intubation and mechanical ventilation for respiratory failure. His oxygen saturation levels were maintained at normal levels with partially assisted ventilation. He was administered broad-spectrum antibiotics, oral coenzyme Q10, multivitamins, and idebenone. During hospitalization, the patient developed progressive consciousness impairment and respiratory and circulatory failure. He died on day 30. Conclusion: Lip cyanosis is an important initial symptom in LS. Mild upper respiratory tract infections can induce LS and aggravate the disease. No abnormal changes in the brain MRI were observed in the early LS stages in this patient. Multiple MRIs and blood lactic acid tests during disease progression and genetic testing are important for prompt and accurate diagnosis of LS.
Larix gmelinii is a dominant tree species in China's boreal forests and plays an important role in the coniferous ecosystem. It is also one of the most economically important tree species in the ...Chinese timber industry due to excellent water resistance and anti-corrosion of its wood products. Unfortunately, in Northeast China, L. gmelinii often suffers from serious attacks by diseases and insects. The application of exogenous volatile semiochemicals may induce and enhance its resistance against insect or disease attacks; however, little is known regarding the genes and molecular mechanisms related to induced resistance.
We performed de novo sequencing and assembly of the L. gmelinii transcriptome using a short read sequencing technology (Illumina). Chemical defenses of L. gmelinii seedlings were induced with jasmonic acid (JA) or methyl jasmonate (MeJA) for 6 hours. Transcriptomes were compared between seedlings induced by JA, MeJA and untreated controls using a tag-based digital gene expression profiling system. In a single run, 25,977,782 short reads were produced and 51,157 unigenes were obtained with a mean length of 517 nt. We sequenced 3 digital gene expression libraries and generated between 3.5 and 5.9 million raw tags, and obtained 52,040 reliable reference genes after removing redundancy. The expression of disease/insect-resistance genes (e.g., phenylalanine ammonialyase, coumarate 3-hydroxylase, lipoxygenase, allene oxide synthase and allene oxide cyclase) was up-regulated. The expression profiles of some abundant genes under different elicitor treatment were studied by using real-time qRT-PCR.The results showed that the expression levels of disease/insect-resistance genes in the seedling samples induced by JA and MeJA were higher than those in the control group. The seedlings induced with MeJA elicited the strongest increases in disease/insect-resistance genes.
Both JA and MeJA induced seedlings of L. gmelinii showed significantly increased expression of disease/insect-resistance genes. MeJA seemed to have a stronger induction effect than JA on expression of disease/insect-resistance related genes. This study provides sequence resources for L. gmelinii research and will help us to better understand the functions of disease/insect-resistance genes and the molecular mechanisms of secondary metabolisms in L. gmelinii.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Kawasaki disease (KD) is an acute febrile illness characterized by systemic vasculitis especially in coronary arteries. Berberine (BBR) shows several beneficial effects on cardiovascular system. The ...present study is to investigate whether BBR exerts protective effect against KD-induced damage of human coronary artery endothelial cell (HCAECs) and the underlying mechanisms. HCAECs exposed to medium with 15% serum from KD patients or healthy volunteers for 24 h. Stimulated HCAECs were treated with vehicle (without BBR) and BBR (20 μM) for 24 h, the cell apoptosis, cell cycle, induction of intracellular reactive oxygen species (ROS) and protein expression were examined by flow cytometry and western blot. The KD-induced differentially expressed proteins in HCAECs were determined by quantitative proteomics. BBR inhibited HCAECs from apoptosis and arrested cell cycle at G0/G1 stage. BBR protected HCAECs from injury by inhibiting expression of THBD, vWF and EDN1. Bioinformatics analysis suggested that the oxidative and ER stress were involved in KD-induced damage in HCAECs. ROS production and the protein expression of ATF4, p-EIF2α, p-PERK, XBP1, p-IRE1, HSP90B1, HSPG2, DNAJC3, P4HB and VCP were increased by serum from KD patients and decreased by BBR treatment. BBR exerts its protective effects on KD-induced damage of HCAECs through its inhibitory effects on oxidative and ER stress indicating BBR as a therapeutic candidate for KD.
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Early epileptic seizure prediction (ESP) has informative challenges due to the complexity of electroencephalogram (EEG) signals, patient variability, privacy, security issues regarding consumer ...health data, and the on-time alarm triggers before an upcoming seizure to provide sufficient time for the patients and caregivers to take appropriate action. Therefore, the proposed study presents a novel patient-specific seizure prediction framework with the Consumer Internet of Things (CIoT) for the smart healthcare system to anticipate the onset of upcoming seizures and improve the quality of healthcare and early treatment. Initially, the multi-handicraft and deep features are extracted in feature engineering modules and then concatenated in the fusion module. The fused feature fed into the Bidirectional Long Short-term Memory (BiLSTM) network to present the temporal dependency of the EEG signals. The Attention Mechanism is applied to reduce the dimension of the feature. Moreover, the CIoT module is integrated for real-time seizure prediction and sending alerts to doctors and emergency units through the cloud platform. Testing via the Leave-One-Out cross-validation method revealed the model's consistent performance across various seizure types, emphasizing real-time clinical applications. The model achieved 91.39± 3.34% accuracy, 91.30± 2.80% sensitivity, 90.06± 4.84% specificity, and a false positive rate (FPR) of 0.12± 0.04 h-1 in the case of seizure prediction Horizon (SPH) of 10 minutes. The CIoT remotely monitoring the patients ensures timely treatment, maintains data security and privacy, and improves the performance of real-time applications in smart consumer healthcare systems.
Abstract
Objective
. Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in adolescents that can seriously impair a person’s attention function, cognitive ...processes, and learning ability. Currently, clinicians primarily diagnose patients based on the subjective assessments of the Diagnostic and Statistical Manual of Mental Disorders-5, which can lead to delayed diagnosis of ADHD and even misdiagnosis due to low diagnostic efficiency and lack of well-trained diagnostic experts. Deep learning of electroencephalogram (EEG) signals recorded from ADHD patients could provide an objective and accurate method to assist physicians in clinical diagnosis.
Approach
. This paper proposes the EEG-Transformer deep learning model, which is based on the attention mechanism in the traditional Transformer model, and can perform feature extraction and signal classification processing for the characteristics of EEG signals. A comprehensive comparison was made between the proposed transformer model and three existing convolutional neural network models.
Main results
. The results showed that the proposed EEG-Transformer model achieved an average accuracy of 95.85% and an average AUC value of 0.9926 with the fastest convergence speed, outperforming the other three models. The function and relationship of each module of the model are studied by ablation experiments. The model with optimal performance was identified by the optimization experiment.
Significance
. The EEG-Transformer model proposed in this paper can be used as an auxiliary tool for clinical diagnosis of ADHD, and at the same time provides a basic model for transferable learning in the field of EEG signal classification.
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