An Improved -Mediated Transformation Method for an Important Fresh Fruit: Kiwifruit ().

Genetic transformation is an essential tool for investigating gene function and editing genomes. Kiwifruit, recognized as a significant global fresh fruit crop, holds considerable economic and nutritional importance. However, current genetic transformation techniques for kiwifruit are impeded by low efficiency, lengthy culture durations (a minimum of six months), and substantial labor requirements.

Deciphering salt stress adaptation in octoploid broomcorn millet (Panicum miliaceum L.): For sustainable agricultural development in saline-alkaline soils.

Saline-alkali soil is one of the major challenges in global agricultural production, significantly affecting crop growth and yield. Polyploid plants often exhibit stronger salt tolerance. However, the specific mechanisms by which polyploid broomcorn millet adapts to salt stress remain unclear.

Unveiling the metaxenia effect and its regulatory mechanism in sucrose synthesis through integration of dominant resources in pear.

Breeding efforts have led to numerous superior pear varieties. However, challenges persist in pear cultivation, with limited cultivar diversity and underutilization of local varieties, resulting in an unbalanced industry. Metaxenia offers potential for breeding excellent pear varieties suitable for different ecological conditions.

Global Research Trends and Future Directions for Buckwheat as a Smart Crop: A Bibliometric and Content Analysis.

Buckwheat ( Moench) originates from Central Asia and is widely distributed around the world. It is recognized as a versatile food crop due to its nutritional richness. Conducting a systematic analysis of the literature on buckwheat research can help scientific researchers achieve a better understanding of the current state, hotspots, and trends in this field, thereby promoting the sustainable development of buckwheat.

Trans-trapezium carpometacarpal dislocation of the thumb.

We report a case series of trans-trapezium carpometacarpal dislocation of the thumb and propose a classification to help with decision-making for this injury.

The role of ethylene in the regulation of plant response mechanisms to waterlogging stress.

Waterlogging stands as a common environmental challenge, significantly affecting plant growth, yield, and, in severe cases, survival. In response to waterlogging stress, plants exhibit a series of intricate physiologic, metabolic, and morphologic adaptations. Notably, the gaseous phytohormone ethylene is rapidly accumulated in the plant submerged tissues, assuming an important regulatory factor in plant-waterlogging tolerance.

Enhancing Few-Shot Out-of-Distribution Detection With Pre-Trained Model Features.

Ensuring the reliability of open-world intelligent systems heavily relies on effective out-of-distribution (OOD) detection. Despite notable successes in existing OOD detection methods, their performance in scenarios with limited training samples is still suboptimal. Therefore, we first construct a comprehensive few-shot OOD detection benchmark in this paper.

Comparative genomics analysis provide insights into evolution and stress responses of Lhcb genes in Rosaceae fruit crops.

Background: Light-harvesting chlorophyll a/b b evelopment of higher plants and in response to abiotic stress. Previous works has demonstrated that that Lhcb genes were involved in the phytochrome regulation and responded to the different light and temperature conditions in Poaceae (such as maize). However, the evolution and functions of Lhcb genes remains poorly characterized in important Rosaceae species.

Diagnosing the benign paroxysmal positional vertigo via 1D and deep-learning composite model.

Background: Benign Paroxysmal Positional Vertigo (BPPV) is the leading cause of vertigo, and its characteristic nystagmus induced by positional maneuvers makes it a good model for Artificial Intelligence (AI) diagnosis. However, during the testing procedure, up to 10 min of indivisible long-range temporal correlation data are produced, making the AI-informed real-time diagnosing unlikely in clinical practice.

Methods: A combined 1D and Deep-Learning (DL) composite model was proposed.

Exogenous treatment with melatonin enhances waterlogging tolerance of kiwifruit plants.

Waterlogging stress has an enormous negative impact on the kiwifruit yield and quality. The protective role of exogenous melatonin on water stress has been widely studied, especially in drought stress. However, the research on melatonin-induced waterlogging tolerance is scarce.

Conuping BSA-Seq and RNA-Seq Reveal the Molecular Pathway and Genes Associated with the Plant Height of Foxtail Millet ().

Foxtail millet () plays an important role in C4 crop research and agricultural development in arid areas due to its short growth period, drought tolerance, and barren tolerance. Exploration of the dwarfing mechanism and the dwarf genes of foxtail millet can provide a reference for dwarf breeding and dwarf research of other C4 crops. In this study, genetic analysis was performed using phenotypic data, candidate genes were screened by bulk segregant analysis sequencing (BSA-Seq); differentially expressed genes and metabolic pathways in different strains of high samples were analyzed by RNA sequencing (RNA-Seq).

Comparative transcriptome provides insight into responding mechanism of waterlogging stress in Actinidia valvata Dunn.

Kiwifruit is one of the most popular fruits, and the area of its cultivation in China has grown rapidly over the last decade. However, kiwifruit vines are vulnerable to waterlogging, especially in the extensive areas of south China where it is grown. This has become an important factor limiting yields.

Conjunctive Analyses of Bulk Segregant Analysis Sequencing and Bulk Segregant RNA Sequencing to Identify Candidate Genes Controlling Spikelet Sterility of Foxtail Millet.

Foxtail millet has gradually become a model gramineous C crop owing to its short growth period and small genome. Research on the development of its spikelets is not only directly related to the yield and economic value of foxtail millet but also can provide a reference for studying the fertility of other C crops. In this study, a hybrid population containing 200 offspring was constructed from the Xinong8852 and An15 parental lines, and two extreme trait populations were constructed from the F2 generation for analysis of the spikelet sterility.

W-Transformer: Accurate Cobb angles estimation by using a transformer-based hybrid structure.

Background: Scoliosis is a type of spinal deformity, which is harmful to a person's health. In severe cases, it can trigger paralysis or death. The measurement of Cobb angle plays an essential role in assessing the severity of scoliosis.

The analysis of isolation measures for epidemic control of COVID-19.

This paper proposes a susceptible exposed infectious recovered model (SEIR) with isolation measures to evaluate the COVID-19 epidemic based on the prevention and control policy implemented by the Chinese government on February 23, 2020. According to the Chinese government's immediate isolation and centralized diagnosis of confirmed cases, and the adoption of epidemic tracking measures on patients to prevent further spread of the epidemic, we divide the population into susceptible, exposed, infectious, quarantine, confirmed and recovered. This paper proposes an SEIR model with isolation measures that simultaneously investigates the infectivity of the incubation period, reflects prevention and control measures and calculates the basic reproduction number of the model.

Deep learning network for medical volume data segmentation based on multi axial plane fusion.

Background And Objective: High-dimensional data generally contains more accurate information for medical image, e.g., computerized tomography (CT) data can depict the three dimensional structure of organs more precisely.

Congenital Contracture of the Ulnar Digits and Its Differentiation From Ischemic Contracture.

Purpose: To describe the clinical features, radiologic findings, differential diagnosis, and surgical treatment of a congenital flexion deformity of the middle, ring, and little fingers. The cause of the condition is the aberrant origin of the flexor digitorum profundus, leading to a congenital contracture of the ulnar digits.

Methods: We reviewed 8 patients with congenital contracture of the ulnar digits.

Proso millet (Panicum miliaceum L.): A potential crop to meet demand scenario for sustainable saline agriculture.

Proso millet (Panicum miliaceum L.) is resilient to abiotic stress, especially to land degradation caused by soil salinization. However, the mechanisms by which its roots adapt and tolerate salt stress are obscure.

Safety and efficacy of a nerve matrix membrane as a collagen nerve wrapping: a randomized, single-blind, multicenter clinical trial.

A new nerve matrix membrane derived from decellularized porcine nerves has been shown to retain the major extracellular matrix components, and to be effective in preventing adhesion between the nerve anastomosis sites and the surrounding tissues in a rat sciatic nerve transection model, thereby enhancing regeneration of the nerve. The effectiveness of the membrane may be attributed to its various bioactive components. In this prospective, randomized, single-blind, parallel-controlled multicenter clinical trial, we compared the safety and efficacy of the new nerve matrix membrane with a previously approved bovine tendon-derived type I collagen nerve wrapping.

Segmentation of coronary arteries images using global feature embedded network with active contour loss.

Coronary heart disease (CHD) is a serious disease that endangers human health and life. In recent years, the morbidity and mortality of CHD are increasing significantly. Because of the particularity and complexity of medical image, it is challenging to segment coronary artery accurately and efficiently.

ADR-Net: Context extraction network based on M-Net for medical image segmentation.

Purpose: Medical image segmentation is an essential component of medical image analysis. Accurate segmentation can assist doctors in diagnosis and relieve their fatigue. Although several image segmentation methods based on U-Net have been proposed, their performances have been observed to be suboptimal in the case of small-sized objects.

LncRNA EWSAT1 upregulates CPEB4 via miR-330-5p to promote cervical cancer development.

Long non-coding RNA (lncRNA) Ewing sarcoma associated transcript 1 (EWSAT1) is an oncogene in a variety of tumors. Here, we planned to demonstrate EWSAT1 function in cervical cancer and further illustrate its underlying mechanism. EWSAT1 expression in cervical cancer was evaluated through qRT-PCR.

Adversarial Learning for Joint Optimization of Depth and Ego-Motion.

In recent years, supervised deep learning methods have shown a great promise in dense depth estimation. However, massive high-quality training data are expensive and impractical to acquire. Alternatively, self-supervised learning-based depth estimators can learn the latent transformation from monocular or binocular video sequences by minimizing the photometric warp error between consecutive frames, but they suffer from the scale ambiguity problem or have difficulty in estimating precise pose changes between frames.