Free electrons spin-dependent Kapitza-Dirac effect in two-dimensional triangular optical lattice.

The free electron spin dynamics in Kapitza-Dirac (KD) effect had been studied theoretically in one-dimensional standing wave of EUV to X-ray laser with extremely high intensity, which is far beyond experimental realization. Here, we propose to achieve the free electron spin-dependent KD effect in two-dimensional triangular optical lattice with spatial inversion symmetry breaking, and the theoretical results reveal that laser with wavelength in visible or near-IR and five orders of magnitude decreased intensity could lead to obvious spin-dependent KD effect. This work provides the way to realize the free electron spin-dependent KD effect experimentally.

Sustained Aesthetic Improvement in Midface Micro-Autologous Fat Transplantation Auxiliary Support on Lower Eyelid Rejuvenation: A Comprehensive Evaluation.

Purpose: To evaluate the deformities of tear troughs, and contours of the infraorbital-midfacial region, and to observe the clinical therapeutic effects of lower eyelid reconstruction combined with micro-autologous fat transplantation in orbital-midfacial rejuvenation.

Methods: A total of 87 individuals seeking cosmetic improvement, aged 25 to 45 years (mean age 36.7 years), were selected for this study from March 2020 to March 2022.

Machine learning-based analysis of programmed cell death types and key genes in intervertebral disc degeneration.

Intervertebral disc degeneration (IVDD) is intricately associated with various forms of programmed cell death (PCD). Identifying key PCD types and associated genes is essential for understanding the molecular mechanisms underlying IVDD and discovering potential therapeutic targets. This study aimed to elucidate core PCD types, related genes, and potential drug interactions in IVDD using comprehensive bioinformatic and experimental approaches.

Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response.

To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, we developed an interpretability model for better understanding the survival prediction of cancer. To this end, the optimal features were identified, ten different machine learning models were utilized to predict mortality across various datasets. Then we have utilized the important features identified by those machines learning methods to construct a new model named NKECLR to forecast mortality of patient with cancer.

JAK2/ULK1 axis promotes cervical cancer progression by autophagy induction and SRPK1 phosphorylation.

Cervical cancer is the most common gynecologic cancer. Autophagy is involved in the progression of CCa. ULK1 is a crucial kinase in autophagy initiation.

Fetal hepatocytes protect the HSPC genome via fetuin-A.

The maintenance of genomic integrity in rapidly proliferating cells is a substantial challenge during embryonic development. Although numerous cell-intrinsic mechanisms have been revealed, little is known about genome-protective effects and influences of developmental tissue microenvironments on tissue-forming cells. Here we show that fetal liver hepatocytes provide protection to haematopoietic stem and progenitor cell (HSPC) genomes.

Observation of perovskite topological valley exciton-polaritons at room temperature.

Topological exciton-polaritons are a burgeoning class of topological photonic systems distinguished by their hybrid nature as part-light, part-matter quasiparticles. Their further control over novel valley degree of freedom (DOF) has offered considerable potential for developing active topological optical devices towards information processing. Here, employing a two-dimensional (2D) valley-Hall perovskite lattice, we report the experimental observation of valley-polarized topological exciton-polaritons and their valley-dependent propagations at room temperature.

Improving the Cycling Stability of NCM811 at High-Voltage 4.5V in Ester-Based Electrolytes with LiDFOB.

Nickel-rich layered cathode materials, particularly LiNiMnCoO (NCM811), have garnered significant attention due to their high energy density and impressive electrochemical performance. However, their cycling stability is compromised at elevated voltages, primarily due to structural instability and interfacial degradation. In this study, lithium difluoro(oxalato)borate (LiDFOB) is introduced into a commercial electrolyte based on lithium hexafluorophosphate (LiPF) to elucidate the structural and interfacial changes occurring in NCM811 at a high cut-off voltage of 4.

Super signal-enhancement biosensing platform for precise target recognition based on rolling circle-hybridization chain dual linear cascade amplification technology.

This paper presents a self-powered biosensing platform based on graphdiyne@Au (2D GDY@Au) nanoparticles and rolling circle-hybridization chain (RC-HC) dual linear cascade amplification technology, which significantly enhances target recognition and signal amplification efficiency for miRNA-141. Specifically, the target on bioanode outputs a large amount of single-stranded DNA (T1) through the strand displacement amplification (SDA) mechanism. This efficient target recycling process triggers RC-HC dual linear cascade reaction.

Trajectory and determinants of intensive care unit-acquired weakness in critical illness: A multicentre, prospective, longitudinal study.

Background: Intensive care unit-acquired weakness (ICU-AW) is prevalent and adversely affects patient outcomes. Muscle strength progression and response to rehabilitation differ across ICU populations. However, the trajectories, determinants and prognoses of muscle strength changes remain unclear.

Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC.

Objectives: This study aims to explore how pre-existing conditions such as blood types, family history of cancer and comorbid diseases correlate with the genetic and programmed death-ligand 1 (PD-L1) expression that contributes to the heterogeneous biological behaviours of non-small cell lung cancer (NSCLC).

Materials And Methods: A cohort of 5507 NSCLC patients who underwent surgical resection between January 2014 and July 2018 was studied. Targeted next-generation sequencing was used to detect mutations in nine pivotal cancer-related genes, and immunohistochemical staining was applied to assess PD-L1 expression.

Symmetry and Asymmetry in Mutations and Memory Retention during the Evolutionary Growth of Carbon Nanotubes.

Symmetry is a motif featured in almost all areas of science, and understanding the mechanism of symmetry breaking is challenging. Similar to mutations that disrupt symmetry in evolution, defects in materials offer insight into symmetry breaking. Here, we investigate symmetry in intragenerational mutations and symmetry breaking in transgenerational mutations in the evolutionary growth system of carbon nanotubes (CNTs).

Study on the embryotoxic effects and potential mechanisms of Aconitum diterpenoid alkaloids in rat whole embryo culture through morphological and transcriptomic analysis.

Ethnopharmacological Relevance: The lateral root of Aconitum carmichaelii Debeaux, or Fuzi, is recognized in Asia for its anti-inflammatory, analgesic, and cardiotonic effects. Its main active compounds are diester diterpenoid alkaloids (DDAs) such as aconitine (AC), mesoacitine (MA), and hypoaconitine (HA), which are also toxic and have a narrow therapeutic window, limiting their clinical use. Although Aconitum DDAs are known for cardiotoxic and neurotoxic effects, their impact on embryonic development remains unclear.

Ablation of LKB1 gene changes the lipid profiles of goat intramuscular fat and enhances polyunsaturated fatty acids deposition.

The content and composition of intramuscular fat (IMF) affect the cooked meat palatability such as tenderness and juiciness. Thus, elucidation of lipid deposition and its composition in goat IMF is necessary. Here, Jianzhou big-ear goats with higher IMF content is associated with lower mRNA level of LKB1 gene, compared with those of Chuannan black goats.

CYP6B6 mediated adaptation to capsaicinoids in the generalist Helicoverpa armigera and specialist H. assulta: Transcriptional response and metabolic detoxification.

Capsaicin and dihydrocapsaicin are the principal pungent compounds in hot peppers. The generalist Helicoverpa armigera and the specialist H. assulta are two of the few insects that can feed on hot pepper fruits.

Surface-based deep inspiration breath-hold radiotherapy in left-sided breast cancer: final results from the SAVE-HEART study.

Background: Adjuvant radiotherapy (RT) plays an essential role in the management of early breast cancer (BC), but can lead to cardiovascular and lung toxicities. RT in deep inspiration breath hold (DIBH) often allows better protection of organs at risk. This prospective study compares surface-guided DIBH with free breathing (FB) in patients with left-sided BC, by evaluating individual cardiovascular risks and treatment plan dosimetry.

Navigating specific targets of breast cancer symptoms: An innovative computer-simulated intervention analysis.

Purpose: To pinpoint optimal interventions by dissecting the complex symptom interactions, encompassing both their static and temporal dimensions.

Methods: The study incorporated a cross-sectional survey utilizing the MD Anderson Symptom Inventory. Participants with breast cancer undergoing chemotherapy were recruited from the "Be Resilient to Breast Cancer" from April 2023 to June 2024.

Optimization and Biological Evaluation of Novel 1-Pyrrolo[2,3-]pyridin Derivatives as Potent and Reversible Lysine Specific Demethylase 1 Inhibitors for the Treatment of Acute Myelogenous Leukemia.

Lysine-specific demethylase 1 (LSD1) plays a vital role in the epigenetic regulation of various cancers, making it a promising therapeutic target for anticancer treatments. Herein, we designed and synthesized a novel series of 1-pyrrolo[2,3-]pyridin derivatives as potent LSD1 inhibitors. A detailed structure-activity relationship exploration was carried out to discover multiple derivatives with nanomolar enzymatic IC values.