Development of a mitochondrial mini-barcode and its application in metabarcoding for identification of leech in traditional Chinese medicine.

In Traditional Chinese Medicine (TCM), the medicinal leech is vital for treatments to promote blood circulation and eliminate blood stasis. However, the prevalence of counterfeit leech products in the market undermines the quality and efficacy of these remedies. Traditional DNA barcoding techniques, such as the COI barcode, have been limited in their application due to amplification challenges.

Theoretical and Experimental Research on the Short-Range Structure in Gallium Melts Based on the Wulff Cluster Model.

In this paper, the short-range ordering structures of Ga melts has been investigated using the Wulff cluster model (WCM). The structures with a Wulff shape outside and crystal symmetry inside have been derived as the equivalent system to describe the short-range-order (SRO) distribution of the Ga melts. It is observed that the simulated HTXRD patterns of the Ga WCM are in excellent agreement with the experimental data at various temperatures (523 K, 623 K, and 723 K).

Repackable microfluidic molecularly imprinted solid-phase extraction coupled with mass spectrometry (μMISPE-MS) for rapid analysis of mycotoxin in agri-foods: an example of zearalenone.

Mycotoxins are detectable in 60-80% of food crops, posing significant threats to human health and food security, and causing substantial economic losses. Most mitigation approaches focus on detecting mycotoxins with standard methods based on liquid chromatography coupled with mass spectrometry (LC-MS). Typical MS methods require extensive sample preparation and clean-up due to the matrix effect, followed by time-consuming LC separation, complicating the analysis process and limiting analytical throughput.

A large annotated cervical cytology images dataset for AI models to aid cervical cancer screening.

Accurate detection of abnormal cervical cells in cervical cancer screening increases the chances of timely treatment. The vigorous development of deep learning methods has established a new ecosystem for cervical cancer screening, which has been proven to effectively improve efficiency and accuracy of cell detection in many studies. Although many contributing studies have been conducted, limited public datasets and time-consuming collection efforts may hinder the generalization performance of those advanced models and restrict further research.

Pulmonary Hemodynamic Parameters Derived from 4D Flow MR Imaging Can Provide Sensitive Markers for Chronic Obstructive Pulmonary Disease (COPD) Patients with Right Ventricular Dysfunction.

Purpose: To investigate the potential of 4D flow MRI-derived pulmonary hemodynamic parameters as sensitive markers for chronic obstructive pulmonary disease (COPD) patients with right ventricular dysfunction (RVD).

Methods: We enrolled 15 COPD patients combined with RVD and 43 non-RVD participants, all of them underwent pulmonary function tests, thoracic CT and cardiac MR examinations, and the image post-processing analysis was completed. After comparing the 2 groups, the average flow velocity of the main pulmonary artery (Vavg-MPA) and the right pulmonary artery (Vavg-RPA) were identified as statistically significant confounding factors, propensity score matching was used to pair patients controlling for these 2 parameters.

Hijacking endogenous iron to amplify lysosomal-mitochondrial cascade damage for boosting anti-tumor immunotherapy.

The cross-talk between lysosomes and mitochondria is crucial for keeping intracellular homeostasis and metabolic function, providing a promising approach for tumor therapy. Herein, we employed polyvinylpyrrolidone (PVP)-modified Cu-gallic acid (CuGA) complex nano-boosters for amplifying lysosomes-mitochondria cascaded damage, and thereby effectively inducing cuproptosis and pyroptosis of breast tumor cells to boost anti-tumor immunotherapy. The CuGA nano-boosters could hijack lysosomal iron to form a bimetallic catalyst Cu(Fe)GA in situ through ion-exchange reaction, and cause the release of Cu and metal ion dysregulation (i.

Research trends of artificial intelligence and radiomics in lung cancer: a bibliometric analysis.

Background: Extensive research on the application of artificial intelligence (AI) and radiomics in lung cancer has been published in recent years; however, it is necessary to identify the current status, hotspots, and trends in the field. Thus, this study conducted a bibliometric analysis of relevant studies to investigate the application of AI and radiomics in lung cancer.

Methods: Related publications were retrieved from the Web of Science Core Collection (WoSCC).

Social isolation, perceived social support, and type D personality among gastrointestinal cancer survivors in China: A mediating model analysis.

Objective: To explore the mediating effect of social isolation between perceived social support and type D personality in gastrointestinal cancer survivors based on the WHITE heuristic cognitive-behavioral model of emotion cognition theory.

Methods: The study utilized a convenience sampling method to recruit 183 survivors of gastrointestinal cancer who were undergoing chemoradiotherapy. SPSS 26.

The CARE Overdose Response Team in Chicago: A Multidisciplinary Out-of-Hospital Post-Opioid Overdose Intervention.

Objectives: In 2021, the opioid overdose crisis led to 1441 fatalities in Chicago, the highest number ever recorded. Interdisciplinary post-overdose follow-up teams provide care at a critical window to mitigate opioid-related risk and associated fatalities. Our objective was to describe a pilot follow-up program in Chicago including eligible overdose incidents, provision of response team services, and program barriers and successes.

Pure spin currents induced by asymmetric H-passivation in BCP nanoribbons.

Inspired by the recently reported novel two-dimensional material BCP, we performed one-dimensional shearing along the zigzag direction to obtain four BCP nanoribbons with various edge atom combinations. An asymmetric hydrogen passivation scheme was employed to modulate the electronic properties and successfully open the band gap, especially the 2H-1H passivation with dihydrogenation and monohydrogenation at the top and bottom edges, respectively, achieving bipolar magnetic semiconductors with edge P-atoms contributing to the main magnetism. Furthermore, three crucial spin-polarized transmission spectra yielded a significant spin-dependent Seebeck effect (SDSE), displaying superior thermoelectric conversion capabilities by generating pure spin currents.

Revealing the Overlooked Catalytic Ability of γ-AlO: Efficient Activation of Peroxymonosulfate for Enhanced Water Treatment.

Activated alumina (γ-AlO) is one of the few nanomaterials manufactured at a ton-scale and successfully implemented in large-scale water treatment. Yet its role in advanced oxidation processes (AOPs) has primarily been limited to functioning as an inert carrier due to its inherently nonredox nature. This study, for the first time, presents the highly efficient capability of γ-AlO to activate peroxymonosulfate (PMS) for selectively eliminating electron-rich organic pollutants in the presence of Cl.

Association of Preoperative Nutritional Status with Sarcopenia in Patients with Gastrointestinal Malignancies Assessed by Global Leadership Initiative in Malnutrition Criteria: A Prospective Cohort Study.

Introduction: The Global Leadership Initiative in Malnutrition (GLIM) consensus highlights the importance of using the GLIM criteria as a standardized approach to diagnosing malnutrition, particularly in patients with cachexia. Although many existing studies have utilized the GLIM criteria to assess the association between malnutrition and malignant tumor patients, there remains relatively little research exploring the specific relationship between malnutrition and sarcopenia. This study aimed to investigate the correlation between malnutrition under the GLIM criteria and preoperative sarcopenia in patients with gastrointestinal malignancies.

Soft X-ray tomography analysis of mitochondria dynamics in Saccharomyces cerevisiae.

Background: Mitochondria are highly dynamic organelles that constantly undergo processes of fission and fusion. The changes in mitochondrial dynamics shape the organellar morphology and influence cellular activity regulation. Soft X-ray tomography (SXT) allows for three-dimensional imaging of cellular structures while they remain in their natural, hydrated state, which omits the need for cell fixation and sectioning.

Molecular Mechanism: Inhibition of T-2 Toxin Synthesis by Surfactin in Dried Fish: Induction of Nucleation by ROS Accumulation.

(1) T-2 toxin synthesized by () can cause deterioration of dried fish and endanger human health. (2) The molecular mechanism by which antibacterial lipopeptides surfactin inhibited growth and toxin production was elucidated by investigating the intracellular ROS production pathway and the subcellular distribution and transcriptional activity of the transcription factor and its regulation of gene in . (3) Surfactin caused hyphal damage and nucleic acid and protein leakage; thus, the growth of was disrupted.

SCOUT: Skull-Corrected Optimization for Ultrasound Transducers.

Transcranial focused ultrasound has been studied for non-invasive and localized treatment of many brain diseases. The biggest challenge for focusing ultrasound onto the brain is the skull, which attenuates ultrasound and changes its propagation direction, leading to pressure drop, focus shift, and defocusing. We presented an optimization algorithm which automatically found the optimal location for placing a single-element focused transducer.

Unexpected chloride-triggered organics removal in the zirconium oxide activated peroxymonosulfate system.

Chloride ion (Cl) is ubiquitous in diverse water bodies, yet poses a longstanding challenge in water pollution control by hindering the efficiency of pollutant degradation. Herein, we proposed a novel concept involving the direct utilization of endogenous Cl ions in water for rapid water purification within a non-redox zirconium oxide (ZrO)-activated peroxymonosulfate (PMS) system. In this process, PMS was complexed on the ZrO surface through inner-sphere coordination, and effectively activated by the partial electron cloud deviation from Zr(IV) sites to PMS, thereby forming a metastable surface complex with an elevated redox potential.

An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning.

Ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between observers, with a low positivity rate for malignancy in biopsies. Even after determining the ultrasound Thyroid Imaging Reporting and Data System (TIRADS) stage, Fine needle aspiration biopsy (FNAB) is still required to obtain a definitive diagnosis. Although various deep learning methods were developed in medical field, they tend to be trained using TI-RADS reports as image labels.

Outcomes of Elderly Patients on Direct Oral Anticoagulants (DOACs) Versus Warfarin After Traumatic Brain Injury.

Background: Although evidence supports the improved safety profile of direct oral anticoagulants (DOACs) over warfarin (WF), outcomes among elderly traumatic brain injury (TBI) patients on this regimen remain unclear. This study describes the association between anticoagulation status (DOAC vs. WF use) and the rates of occurrence of intracranial hemorrhage (ICH), hematoma progression, need for surgical intervention and mortality in elderly TBI cases.

Simultaneous effects of nanoscale zero-valent iron on wastewater decontamination and energy generation: Mechanisms of sulfamethoxazole degradation and methanogenesis.

The presence of sulfamethoxazole (SMX) can adversely affect the anaerobic digestion process, reducing the efficiency of wastewater treatment and methane production. In this study, the addition of exogenous nanoscale zero-valent iron (nZVI) enhanced the efficient treatment of SMX and promoted the energy recovery from antibiotic wastewater. The results showed that the removal of SMX in the reactor pairs with 0.

A bio-inspired visual collision detection network integrated with dynamic temporal variance feedback regulated by scalable functional countering jitter streaming.

In pursuing artificial intelligence for efficient collision avoidance in robots, researchers draw inspiration from the locust's visual looming-sensitive neural circuit to establish an efficient neural network for collision detection. However, existing bio-inspired collision detection neural networks encounter challenges posed by jitter streaming, a phenomenon commonly experienced, for example, when a ground robot moves across uneven terrain. Visual inputs from jitter streaming induce significant fluctuations in grey values, distracting existing bio-inspired networks from extracting visually looming features.

Improving compound-protein interaction prediction by focusing on intra-modality and inter-modality dynamics with a multimodal tensor fusion strategy.

Identifying novel compound-protein interactions (CPIs) plays a pivotal role in target identification and drug discovery. Although the recent multimodal methods have achieved outstanding advances in CPI prediction, they fail to effectively learn both intra-modality and inter-modality dynamics, which limits their prediction performance. To address the limitation, we propose a novel multimodal tensor fusion CPI prediction framework, named MMTF-CPI, which contains three unimodal learning modules for structure, heterogeneous network and transcriptional profiling modalities, a tensor fusion module and a prediction module.

Microfluidic Optical Aptasensor for Small Molecules Based on Analyte-Tuned Growth of Gold Nanoseeds and Machine Learning-Enhanced Spectrum Analysis: Rapid Detection of Mycotoxins.

Natural toxins, mainly small molecules, are a category of chemical hazards in agri-food systems that pose threats to both public health and food security. Current standard methods for monitoring these toxins, predominantly based on liquid chromatography-mass spectrometry, are costly, labor-intensive, and complex. This study presents the development of a novel microfluidic optical aptasensor for rapid detection of small molecules based on analyte-tuned growth of gold nanoseeds combined with machine learning-enhanced spectrum analysis.

Circ_0060927 promotes colorectal cancer development by sponging miR-331-3p and upregulating TBX2.

Background: The dysregulation of circular RNAs (circRNAs) is closely associated with the pathogenesis of colorectal cancer (CRC). The present study aimed to elucidate the biological function and mechanism of circ_0060927 in CRC.

Methods: 5-ethynyl-2'-deoxyuridine, Cell Counting Kit-8 (CCK-8), flow cytometry and transwell assays, as well as Xenograft tumor models were adopted for in vitro and in vivo analyses.