CropPhenoX: high-throughput automatic extraction system for wheat seedling phenotypic traits based on software and hardware collaboration.

Accurately quantifying wheat seedling phenotypic traits is crucial for genetic breeding and the development of smart agriculture. However, existing phenotypic extraction methods are difficult to meet the needs of high-throughput and high-precision detection in complex scenarios. To this end, this paper proposes a high-throughput automated extraction system for wheat seedling phenotypic traits based on software and hardware collaboration, CropPhenoX.

Spin-Splitting Magnetoresistance in Altermagnetic RuO Thin Films.

The recently discovered altermagnets, featured by the exotic correlation of magnetic exchange interaction and alternating crystal environments, have offered exciting cutting-edge opportunities for spintronics. Nevertheless, the altermagnetism of RuO, one of the earliest-discovered altermagnets, is currently under intense debate. Here, this controversy is attempted to be resolved by demonstrating a spin-splitting magnetoresistance (SSMR) effect that is driven by a spin current associated with the giant nonrelativistic spin splitting of an altermagnet.

Giant Non-Saturating Exchange Striction in a Noncollinear Antiferromagnet.

Magnetostriction, discovered by Joule in 1842, refers to the mechanical strain that a material undergoes in the presence of a magnetic field. Conventionally, it originates from the spin-orbit coupling and has been predominantly explored in ferromagnets. In this work, a giant magnetostriction effect is reported in the high-quality single crystal of a noncollinear antiferromagnet MnSn.

Largely Enhanced Oxygen Evolution Performance in a Ferromagnetic Ruddlesden-Popper Phase Cobaltate.

The oxygen evolution reaction (OER), as a key half-reaction in water splitting, plays a critical role in various energy conversion and storage systems. Novel high-performance catalysts have always been desirable. In this work, we have fabricated insulating perovskite LaCoO and its corresponding Ruddlesden-Popper (RP) phase LaCoO films.

Multistage Template-Oriented Design and Tailoring of the Hierarchical Porous Biocarbon Materials for High-Performance Supercapacitors.

Interfacial regulation is crucial for the enhancement of the specific surface area and supercapacitive performance in porous carbon materials. However, traditional porous carbon obtained through potassium hydroxide activation is confronted with a complicated preparation process. Herein, hierarchical porous biocarbons (HPBC) were facilely prepared by using the multiscale template method and wheat flour as a precursor without any activation.

The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance.

This work aims to comprehensively explore the influencing factors of aerobics athletes' performance by integrating sports nutrition assistance and artificial intelligence neural networks. First, a personalized assessment and analysis of athletes' nutritional needs are conducted, collecting various data including fitness tests, physiological monitoring, and surveys to establish a personalized nutritional needs model for athletes. In order to gain a more comprehensive understanding of the characteristics and requirements of aerobic athletes, exercise data are integrated with nutritional data, and deep learning analysis is performed using neural network algorithms.

An antiferromagnetic spin phase change memory.

The electrical outputs of single-layer antiferromagnetic memory devices relying on the anisotropic magnetoresistance effect are typically rather small at room temperature. Here we report a new type of antiferromagnetic memory based on the spin phase change in a Mn-Ir binary intermetallic thin film at a composition within the phase boundary between its collinear and noncollinear phases. Via a small piezoelectric strain, the spin structure of this composition-boundary metal is reversibly interconverted, leading to a large nonvolatile room-temperature resistance modulation that is two orders of magnitude greater than the anisotropic magnetoresistance effect for a metal, mimicking the well-established phase change memory from a quantum spin degree of freedom.

Boxing behavior recognition based on artificial intelligence convolutional neural network with sports psychology assistant.

The purpose of this study is to deeply understand the psychological state of boxers before the competition, and explore an efficient boxing action classification and recognition model supported by artificial intelligence (AI) technology through these psychological characteristics. Firstly, this study systematically measures the key psychological dimensions of boxers, such as anxiety level, self-confidence, team identity, and opponent attitude, through psychological scale survey to obtain detailed psychological data. Then, based on these data, this study innovatively constructs a boxing action classification and recognition model based on BERT fusion 3D-ResNet, which not only comprehensively considers psychological information, but also carefully considers action characteristics to improve the classification accuracy of boxing actions.

Emerging Antiferromagnets for Spintronics.

Antiferromagnets constitute promising contender materials for next-generation spintronic devices with superior stability, scalability, and dynamics. Nevertheless, the perception of well-established ferromagnetic spintronics underpinned by spontaneous magnetization seemed to indicate the inadequacy of antiferromagnets for spintronics-their compensated magnetization has been perceived to result in uncontrollable antiferromagnetic order and subtle magnetoelectronic responses. However, remarkable advancements have been achieved in antiferromagnetic spintronics in recent years, with consecutive unanticipated discoveries substantiating the feasibility of antiferromagnet-centered spintronic devices.

Magnetic-Field Response and Giant Electric-Field Modulation of CuS.

CuS likely plays an important role in the sharp resistivity transition of LK-99. Nevertheless, this immediately arouses an intriguing question of whether the extraordinary room-temperature colossal magnetoresistance in the initial reports, which has been less focused, originates from CuS as well. To resolve this issue, we have systematically investigated the electrical transport and magnetotransport properties of near-stoichiometric CuS pellets and thin films.

Dynamic Driving Mechanism of Dual Structural Effects on the Correlation between Economic Growth and CO Emissions: Evidence from a Typical Transformation Region.

How will the dual structural effects, represented by industrial structure and energy structure, affect the future correlation between economic growth and CO emissions? Taking Jilin Province as an example, this study explores the dynamic driving mechanism of dual structural effects on the correlation between economic growth and CO emissions by innovatively building an integrated simulation model from 1995 to 2015 and setting different scenarios from 2016 to 2050. Correspondingly, the concept of marginal utility and the method of variance decomposition analysis are introduced to reveal the mechanism. The results show that the energy structure is different while the industrial structure tends to be similar when CO emissions reach the peak under different scenarios.

Carbon-Emission Characteristics and Influencing Factors in Growing and Shrinking Cities: Evidence from 280 Chinese Cities.

The CO emission-mitigation policies adopted in different Chinese cities are important for achieving national emission-mitigation targets. China faces enormous inequalities in terms of regional economic development and urbanization, with some cities growing rapidly, while others are shrinking. This study selects 280 cities in China and divides them into two groups of growing cities and two groups of shrinking cities.

Deferoxamine Counteracts Cisplatin Resistance in A549 Lung Adenocarcinoma Cells by Increasing Vulnerability to Glutamine Deprivation-Induced Cell Death.

Glutamine, like glucose, is a major nutrient consumed by cancer cells, yet these cells undergo glutamine starvation in the cores of tumors, forcing them to evolve adaptive metabolic responses. Pharmacologically targeting glutamine metabolism or withdrawal has been exploited for therapeutic purposes, but does not always induce cancer cell death. The mechanism by which cancer cells adapt to resist glutamine starvation in cisplatin-resistant non-small-cell lung cancer (NSCLC) also remains uncertain.

Efficacy of Sijunzi decoction on limb weakness in spleen Qi deficiency model rats through adenosine monophosphate-activated protein kinase/unc-51 like autophagy activating kinase 1 signaling.

Objective: To investigate the efficacy of Sijunzi decoction () on limb weakness in a rat model of spleen Qi deficiency (SQD), and to study its effect on mitophagy in skeletal muscle through adenosine monophosphate-activated protein kinase (AMPK) / unc-51 like autophagy activating kinase 1 (ULK1) signaling.

Methods: SQD model rats were produced by fasting combined with forced swimming method for 15 d. After model assessment, rats were randomly divided into four groups of 10 [low/middle/high (L/M/H) Sijunzi decoction dose groups and a normal saline (S) group].

LncRNA NORAD targets miR-410-3p to regulate drug resistance sensitivity of osteosarcoma.

The current experiment was performed to investigate the effect of LncRNA NORAD on the sensitivity of miR-410-3p to drug resistance of osteosarcoma cells. The cisplatin-resistant cell line HOS/DDP was induced; si-NC, si-NORAD, miR-NC, miR-410-3p, pcDNA-NC, and pcDNA-NORAD were transfected into HOS/DDP cells, respectively; record as a si-NC group, si-NORAD group, miR-NC group, miR-410-3p group, pcDNA-NC group, pcDNA-NORAD group; si-NORAD was co-transfected into HOS/DDP cells with anti-miR-NC, anti-miR-410-3p, recorded as an anti-miR-NC+si-NORAD group and anti-miR-410-3p+si-NORAD group. Real-time quantitative PCR (RT-qPCR) was used to detect LncRNA NORAD, miR-410-3p and multidrug resistance protein 1 (MRP1) mRNA expression levels; Western blot was used to detect cyclin D1 (CyclinD1), MRP1, phosphorylated (p-p65), phosphorylated IкBα (p-IкBα) protein expression; cell counting kit 8 (CCK-8) was used to detect cell viability; dual luciferase report assay to detect targeting relationship between LncRNA NORAD and miR-410-3p.

Comparisons of CO emission performance between secondary and service industries in Yangtze River Delta cities.

To put the brakes on global climate change, China, the world's top emitter, has established ambitious CO emissions reduction targets. Industry-level emissions analysis can help policymakers determine better ways to achieve mitigation targets. This study is the first to target the total-factor carbon emission performance (TCPI) of secondary and service industries.

Structural Evolution of Sub-10 nm Octahedral Platinum-Nickel Bimetallic Nanocrystals.

Octahedral Pt alloy nanocrystals (NCs) have shown excellent activities as electrocatalysts toward oxygen reduction reaction (ORR). As the activity and stability of NCs are highly dependent on their structure and the elemental distribution, it is of great importance to understand the formation mechanism of octahedral NCs and to rationally synthesize shape-controlled alloy catalysts with optimized ORR activity and stability. However, the factors controlling the structural and compositional evolution during the synthesis have not been well understood yet.

Experimental realization of three-color entanglement at optical fiber communication and atomic storage wavelengths.

Entangled states of light including low-loss optical fiber transmission and atomic resonance frequencies are essential resources for future quantum information networks. We present the experimental achievement on the three-color entanglement generation at 852, 1550, and 1440 nm wavelengths for optical continuous variables. The entanglement generation system consists of two cascaded nondegenerated optical parametric oscillators (NOPOs).

Proteolytic processing of SDF-1α by matrix metalloproteinase-2 impairs CXCR4 signaling and reduces neural progenitor cell migration.

Neural stem cells and neural progenitor cells (NPCs) exist throughout life and are mobilized to replace neurons, astrocytes and oligodendrocytes after injury. Stromal cell-derived factor 1 (SDF-1, now named CXCL12) and its receptor CXCR4, an α-chemokine receptor, are critical for NPC migration into damaged areas of the brain. Our previous studies demonstrated that immune activated and/or HIV-1-infected human monocyte-derived-macrophages (MDMs) induced a substantial increase of SDF-1 production by human astrocytes.

Cellular IAP1 regulates TRAIL-induced apoptosis in human fetal cortical neural progenitor cells.

Neural stem/progenitor cells (NPCs) are present in the developing and adult central nervous system. NPC apoptosis is an important aspect of normal brain development. We show that tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) receptor 2 is highly expressed on human NPCs derived from fetal cortex, yet TRAIL induces only minimal levels of apoptosis in NPCs.