Transcriptome Profiling of Two Cultivars with Different Heat Tolerance Reveals Heat Stress Response Mechanisms.

Camellia () is a semi-shaded plant that is highly vulnerable to heat stress. To investigate the mechanisms underlying heat stress in , two cultivars, "Xiaotaohong" and "Zhuapolian", which exhibit significant differences in heat tolerance, were selected from four common cultivars. The selection methods included phenotypic observations and physiological index detection, including relative electric conductivity (REC), malondialdehyde (MDA) content, superoxide dismutase (SOD) enzyme activity, relative water content (RWC), and chlorophyll content.

Morphological and Transcriptomic Analyses Reveal the Involvement of Key Metabolic Pathways in Male Sterility in (L.) Genotypes.

(Calycanthaceae family) is a unique ornamental and economic flowering tree in China, and after thousands of years of cultivation, it has produced several varieties and varietal types. Notably, male sterility is common in flowering plants and is an important tool for the genetic improvement in plants and optimization using hybrid plant technology; however, there have been no reports on male-sterile material or related studies on . To our knowledge, this is the first time that male sterility is dissected unveiling the involvement of key metabolic pathways.

Establishment of Novel Simple Sequence Repeat (SSR) Markers from Transcriptome Data and Their Application in the Identification of Varieties.

, a member of the Calycanthaceae family, is a unique, traditional, and famous flowering economic tree species in China. Despite the existence of several varieties, only a few cultivars have been formally named. Currently, expression sequence tag-simple sequence repeat (EST-SSR) markers are extensively used to identify different species and varieties; a large number of microsatellites can be identified from transcriptome databases.

Carbon storage estimation and strategy optimization under low carbon objectives for urban attached green spaces.

In the context of rapid urbanization, scarce land resources have highlighted the importance of attached green spaces (AGS), which have received limited attention despite their critical importance in the urban carbon cycle. Analyzing the differences in carbon storage of different AGS types and proposing different optimization strategies can provide a reference for urban managers to scientifically enhance the carbon sinks of greenfield. This study estimated the carbon storage of AGS in central Shanghai using a series of detailed field survey data and remote sensing data.

Longitudinal changes in blood pressure and fasting plasma glucose among 5,398 primary care patients with concomitant hypertension and diabetes: An observational study and implications for community-based cardiovascular prevention.

Aims: To assess longitudinal changes in blood pressure (BP) and fasting plasma glucose (FPG) in primary care patients with concomitant hypertension and type 2 diabetes mellitus (T2DM), and to explore factors associated with patients' inability to improve BP and FPG at follow-up.

Methods: We constructed a closed cohort in the context of the national basic public health (BPH) service provision in an urbanised township in southern China. Primary care patients who had concomitant hypertension and T2DM were retrospectively followed up from 2016 to 2019.

Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study.

The metabolic score for insulin resistance (METS-IR) was recently proposed as a non-insulin-based, novel index for assessing insulin resistance (IR) in the Western population. However, evidence for the link between METS-IR and prediabetes or type 2 diabetes mellitus (T2DM) among the elderly Chinese population was still limited. We aimed to investigate the associations between METS-IR and prediabetes or T2DM based on large-scale, cross-sectional, routine physical examination data.

A tandem CCCH type zinc finger protein gene CpC3H3 from Chimonanthus praecox promotes flowering and enhances drought tolerance in Arabidopsis.

Background: CCCH-type zinc finger proteins play important roles in plant development and biotic/abiotic stress responses. Wintersweet (Chimonanthus praecox) is a popular ornamental plant with strong resistance to various stresses, which is a good material for exploring gene resource for stress response. In this study, we isolated a CCCH type zinc finger protein gene CpC3H3 (MZ964860) from flower of wintersweet and performed functional analysis with a purpose of identifying gene resource for floral transition and stress tolerance.

, a Cytochrome P450 Monooxygenase Gene of Regulates Shoot Branching in .

Strigolactones (SLs) are a class of important hormones in the regulation of plant branching. In the model plant Arabidopsis, AtMAX1 encodes a cytochrome P450 protein and is a crucial gene in the strigolactone synthesis pathway. Yet, the regulatory mechanism of MAX1 in the shoot branching of wintersweet (Chimonanthus praecox) remains unclear.

, a B-Box Transcription Factor Gene of Improves Salt and Drought Tolerance in .

Zinc-finger proteins are important transcription factors in plants, responding to adversity and regulating the growth and development of plants. However, the roles of the gene family of zinc-finger proteins in wintersweet () have yet to be elucidated. In this study, a group IV subfamily gene, , was identified and isolated from wintersweet.

Two-Phase Robust Target Localization in Ocean Sensor Networks Using Received Signal Strength Measurements.

Target localization plays a vital role in ocean sensor networks (OSNs), in which accurate position information is not only a critical need of ocean observation but a necessary condition for the implementation of ocean engineering. Compared with other range-based localization technologies in OSNs, the received signal strength (RSS)-based localization technique has attracted widespread attention due to its low cost and synchronization-free nature. However, maintaining relatively good accuracy in an environment as dynamic and complex as the ocean remains challenging.

Influence of health education on clinical parameters in type 2 diabetic subjects with and without hypertension: A longitudinal, comparative analysis in routine primary care settings.

Aim: To assess the influence of health education for type 2 diabetic patients with and without coexisting hypertension in routine primary care where intensive educational consultations were absent.

Methods: A longitudinal cohort was constructed from 342 diabetic subjects who previously had regular exposure to face-to-face health education delivered quarterly during 2016-2017 under the national basic public health (BPH) service provision in an urbanised township in China. Clinical parameters were retrieved electronically from computerised BPH data platform at prior check-ups (2016-2017) and at the most recent check-up (2019).

An Absorption Mitigation Technique for Received Signal Strength-Based Target Localization in Underwater Wireless Sensor Networks.

Localization is an indispensable technology for underwater wireless sensor networks (UWSNs). In what concerns UWSNs, the accurate location information is not only the requirement of the marine field applications but also the basis of the other corresponding research, for instance, network routing and topology control. Recently, an astonishing surge of interest has been drawn in the received signal strength (RSS)-based scheme due to cost-effectiveness and synchronization-free compared with others.

Mining ship deficiency correlations from historical port state control (PSC) inspection data.

Early warning on the ship deficiency is crucial for enhancing maritime safety, improving maritime traffic efficiency, reducing ship fuel consumption, etc. Previous studies focused on the ship deficiency exploration by mining the relationships between the ship physical deficiencies and the port state control (PSC) inspection results with statistical models. Less attention was paid to discovering the correlation rules among various parent ship deficiencies and subcategories.

Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter.

Maritime surveillance videos provide crucial on-spot kinematic traffic information (traffic volume, ship speeds, headings, etc.) for varied traffic participants (maritime regulation departments, ship crew, ship owners, etc.) which greatly benefits automated maritime situational awareness and maritime safety improvement.

A Robust, Non-Cooperative Localization Algorithm in the Presence of Outlier Measurements in Ocean Sensor Networks.

As an important means of multidimensional observation on the sea, ocean sensor networks (OSNs) could meet the needs of comprehensive information observations in large-scale and multifactor marine environments. In what concerns OSNs, accurate location information is the basis of the data sets. However, because of the multipath effect-signal shadowing by waves and unintentional or malicious attacks-outlier measurements occur frequently and inevitably, which directly degrades the localization accuracy.

A very sensitive and highly selective organic selector in CNTs composite chemiresistive for efficient differentiation of organic amine vapours.

With the call for the IoE (Internet of Everything), stable and efficient electric noses/tongues have become the most critical part of the sensor network. Identifying target gases efficiently and rapidly at ambient air becomes a focus on sensor research. We designed a chemiresistive sensor based on a composite of a specific selector and single-walled carbon nanotubes (SWNTs) for the detection and differentiation of organic amine vapours in air (25 ℃, 55% RH).

A novel cooperative localization algorithm using enhanced particle filter technique in maritime search and rescue wireless sensor network.

Maritime search and rescue (MSR) play a significant role in Safety of Life at Sea (SOLAS). However, it suffers from scenarios that the measurement information is inaccurate due to wave shadow effect when utilizing wireless Sensor Network (WSN) technology in MSR. In this paper, we develop a Novel Cooperative Localization Algorithm (NCLA) in MSR by using an enhanced particle filter method to reduce measurement errors on observation model caused by wave shadow effect.

Evaluating the impacts of grades on vehicular speeds on interstate highways.

Grade variation on interstate highways affects the roadway geometric design, vehicle performance and driver behavior, thus possibly exerting an unexpected effect on vehicular speed. Hence, determining the internal relationship between grade and speed is important and useful for drivers, traffic regulators and other traffic participants. However, the problem with performing this research is the lack of large-scale gradient and speed data.

Fuzzy-Logic Based Distributed Energy-Efficient Clustering Algorithm for Wireless Sensor Networks.

Due to the high-energy efficiency and scalability, the clustering routing algorithm has been widely used in wireless sensor networks (WSNs). In order to gather information more efficiently, each sensor node transmits data to its Cluster Head (CH) to which it belongs, by multi-hop communication. However, the multi-hop communication in the cluster brings the problem of excessive energy consumption of the relay nodes which are closer to the CH.

Mutation in ribosomal protein L21 underlies hereditary hypotrichosis simplex.

Hereditary hypotrichosis simplex (HHS) is a form of nonsyndromic inherited hair loss disorders without characteristic hair shaft changes, which has marked genetic and clinical heterogeneity. After mapping the locus to 13q12.12-12.

[Development of a video image system for wireless capsule endoscopes based on DSP].

A video image recorder to record video picture for wireless capsule endoscopes was designed. TMS320C6211 DSP of Texas Instruments Inc. is the core processor of this system.

Using átuous Algorithm and Modulus Maximum Lines to Detect R-wave of ECG Signal.

The R-wave of ECG signal represents the electrical activation of the ventricles, which initiates ventricle contraction, and it belongs to the typical peak value singular signal. An effective way of detecting R-wave in QRS complex of ECG based on á tuous algorithm and modulus maximum lines are presented in this paper. á tuous algorithm doesn't need down sampling and up sampling when in decompose and reconstruction, so it increases the R-wave orientation precision; modulus maximum lines can improve the detection speed dramatically.