Which Kind of Prognosis is Better in the Treatment of Cervical and Lumbar Disc Herniation with Coblation Nucleoplasty?

Introduction: Coblation nucleoplasty is a minimally invasive procedure developed for the treatment of symptomatic disc herniation.

Methods: We evaluated 118 cases of cervical and lumbar intervertebral discs treated with coblation nucleoplasty. The clinical results were assessed using the visual analogue scale (VAS), modified MacNab criteria, and efficacy.

Selective Gold Recycling from Electronic Waste Using a Highly Stable Porous Aromatic Framework/Polymer and Its Application for CO Electroreduction.

Recycling gold from electronic waste represents a sustainable and environmentally friendly strategy for both resource recovery and waste reduction. In this study, we designed an innovative and highly stable porous aromatic framework (PAF)/polymer composite, PAF-147/polydopamine (PDA), as an efficient adsorbent for selective gold recovery for the first time. The maximum gold adsorption capacity of PAF-147/PDA reached 1700 mg g.

Rescue-like behavior in a bystander mouse toward anesthetized conspecifics promotes arousal via a tongue-brain connection.

Prosocial behaviors are advantageous to social species, but the neural mechanism(s) through which others receive benefit remain unknown. Here, we found that bystander mice display rescue-like behavior (tongue dragging) toward anesthetized cagemates and found that this tongue dragging promotes arousal from anesthesia through a direct tongue-brain circuit. We found that a direct circuit from the tongue → glutamatergic neurons in the mesencephalic trigeminal nucleus (MTN) → noradrenergic neurons in the locus coeruleus (LC) drives rapid arousal in the anesthetized mice that receive the rescue-like behavior from bystanders.

Preserving High Porosity of Covalent Organic Frameworks via Functional Polymer Guest Introduction.

Due to their high structural tunability, remarkable internal surface areas, readily accessible pore space, and host of possible applications, covalent organic frameworks (COFs) remain at the forefront of materials science research. Unfortunately, many COFs suffer from structural distortions or pore collapse during activation, which can lead to a substantial loss of crystallinity and functionality. Thus, herein, we demonstrate a facile method to address this issue by introducing polymer guests.

Transforaminal Endoscopic Lumbar Discectomy versus Coblation Nucleoplasty Combined with Collagenase Chemonucleolysis for Lumbar Disc Herniation with Grade I Degenerative Spondylolisthesis.

Introduction: To investigate the short-term clinical effect of transforaminal endoscopic lumbar discectomy (TELD) versus coblation nucleoplasty (CN) combined with collagenase chemonucleolysis (CCNL) in the treatment of lumbar disc herniation (LDH) with grade I degenerative spondylolisthesis.

Methods: From January 2019 to December 2020, 60 patients who had LDH with grade I degenerative spondylolisthesis were divided into two groups. Group A adopted TELD while Group B adopted CN combined with CCNL.

Analysis of the microbial community structure and characteristic flavor of traditional fermented bean paste.

Bean paste is a traditional Chinese fermented condiment, which is loved by consumers for its pleasant flavor and nutritional properties. However, the microbial communities and related flavor compounds in bean paste remain unclear. We studied the correlation between the core functional microorganisms and flavor compounds in bean paste samples at different fermentation stages.

Association patterns of ketone bodies with the risk of adverse outcomes according to diabetes status.

Aim: To investigate the associations between ketone bodies (KB) and multiple adverse outcomes including cardiovascular disease (CVD), chronic kidney disease (CKD) and all-cause mortality according to diabetes status.

Methods: This prospective study included 222 824 participants free from CVD and CKD at baseline from the UK Biobank. Total KB including β-hydroxybutyrate, acetoacetate and acetone were measured by nuclear magnetic resonance.

One-Pot facile synthesis of fluorescent copper nanoclusters for highly selective and sensitive detection of tetracycline.

Due to the excellent characteristics, fluorescent copper nanoclusters (Cu NCs) have aroused great interest in recent years. Herein, the simple prepared, environmentally friendly fluorescent Cu NCs were synthesized by using trypsin as the stabilizer and applied for the determination of tetracycline. Uniformly dispersed Try-Cu NCs were obtained with average size of 3.

Rapid chemical reduction synthesis of copper nanoclusters with blue fluorescence for highly sensitive detection of furazolidone.

Tannic acid (TA), as a stabilizing agent, was successfully utilized to establish blue-emitting copper nanoclusters (TA-Cu NCs) on the basis of a facile chemical reduction preparation method. Characterization results proved successful synthesis of TA-Cu NCs with uniform size and excellent stability. TA-Cu NCs exhibited a blue emission wavelength at 431 nm when excited at 364 nm.

Histidine-capped copper nanoclusters for in situ amplified fluorescence monitoring of doxycycline through inner filter effect.

There is a significant need to accurately measure doxycycline concentrations in view of the adverse effects of an overdose on human health. A fluorescence (FL) detection method was adopted and copper nanoclusters (CuNCs) were synthesized using chemical reduction technology. Based on FL quenching with doxycycline, the prepared CuNCs were used to explore a fluorescent nanoprobe for doxycycline detection.

Horizontal and vertical migration of cyanobacterial blooms in two eutrophic lakes observed from the GOCI satellite.

Under the variations of natural conditions (temperature, wind speed, light, et al.) and self-regulation of buoyancy, cyanobacterial blooms can change rapidly in a short time. The Geostationary Ocean Color Imager (GOCI) can provide hourly monitoring of the dynamics of algal blooms (eight times per day), and has potential in observing the horizontal and vertical movement of cyanobacterial blooms.

Effect of Collagenase Chemonucleolysis on Residual Pain After Transforaminal Lumbar Endoscopic Discectomy.

Purpose: To investigate the short-term clinical effect of collagenase chemonucleolysis (CCNL) in the treatment of residual pain after transforaminal lumbar endoscopic discectomy (TLED).

Patients And Methods: The clinical data of 40 patients with residual pain after TLED for lumbar disc herniation (LDH) in our hospital from January 2018 to December 2020 were retrospectively analyzed. The visual analogue scale (VAS) and quality of recovery-15 (QoR-15) were used to evaluate the effect of the operation.

Selective detection of nitrofurantoin by histidine-capped silver nanoclusters with blue luminescence.

In view of the significance of nitrofurantoin, there is an urgent need for efficient analytical methods for accurate detection of nitrofurantoin. Considering their superior fluorescence performance and rarity of reports regarding nitrofurantoin detection by fluorescent silver nanoclusters (Ag NCs), Ag NCs with good stability and uniform size were synthesized through a simple method by protection of histidine (His) and reduction of ascorbic acid (AA). Based on the quenching by nitrofurantoin, Ag NCs were applied successfully in the detection of nitrofurantoin with high sensitivity.

The SMC5/6 complex recruits the PAF1 complex to facilitate DNA double-strand break repair in Arabidopsis.

DNA double-strand breaks (DSBs) are one of the most toxic forms of DNA damage, which threatens genome stability. Homologous recombination is an error-free DSB repair pathway, in which the evolutionarily conserved SMC5/6 complex (SMC5/6) plays essential roles. The PAF1 complex (PAF1C) is well known to regulate transcription.

Relationship between thick or greasy tongue-coating microbiota and tongue diagnosis in patients with primary liver cancer.

Tongue diagnosis is a unique aspect of traditional Chinese medicine for diagnosing diseases before determining proper means of treatment, but it also has the disadvantage of relying on the subjective experience of medical practitioners and lack objective basis. The purpose of this article is to elucidate tongue-coating microbiota and metabolic differences in primary liver cancer (PLC) patients with thick or greasy tongue coatings. Tongue-coating samples were analyzed in 60 PLC patients (30 PLC with thick or greasy tongue-coating patients and 30 PLC with tongue-coating neither thick nor greasy) and 25 healthy controls (HC) using 16S rRNA gene sequencing technology.

Impact of treatment-duration-ratio of traditional Chinese medicine on survival period of primary liver cancer -A real-world study.

Introduction: In China, traditional Chinese medicine (TCM) is regarded as an effective treatment for primary liver cancer (PLC). The present study analyzed the effect of TCM on the survival period of patients with PLC by analyzing the relationship between the treatment-duration-ratio of traditional Chinese medicine (C-TDR, (traditional Chinese medicine treatment duration)/(Overall treatment duration) × 100%) and the survival time of 1002 patients with PLC.

Methods: In this study, 1002 patients with PLC admitted to TCM Oncology Department of Changhai Hospital from January, 2015 to December, 2019 were enrolled.

Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics.

Background: Metabolomics is a primary omics topic, which occupies an important position in both clinical applications and basic researches for metabolic signatures and biomarkers. Unfortunately, the relevant studies are challenged by the batch effect caused by many external factors. In last decade, the technique of deep learning has become a dominant tool in data science, such that one may train a diagnosis network from a known batch and then generalize it to a new batch.

Positive association of glucagon with bone turnover markers in type 2 diabetes: A cross-sectional study.

Aims: The osteo-metabolic changes in type 2 diabetes (T2D) patients are intricate and have not been fully revealed. It is not clear whether glucagon is entirely harmful in the pathogenesis of diabetes or a possible endocrine counter-regulation mechanism to reverse some abnormal bone metabolism. This study aimed to investigate the association between glucagon and bone turnover markers (BTMs) in T2D patients.

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.

Deformable registration is fundamental to longitudinal and population-based image analyses. However, it is challenging to precisely align longitudinal infant brain MR images of the same subject, as well as cross-sectional infant brain MR images of different subjects, due to fast brain development during infancy. In this paper, we propose a recurrently usable deep neural network for the registration of infant brain MR images.

One facile fluorescence strategy for sensitive determination of baicalein using trypsin-templated copper nanoclusters.

Herein, we established a fluorescent detection platform for baicalein (Bai) based on copper nanoclusters, which were prepared by using copper sulfate as the precursor, trypsin (Tryp) as the template and hydrazine hydrate as the reducing agent. The entire preparation and testing process were rapid, facile and green. Many characterization methods, such as UV-vis absorption spectroscopy, fluorescence spectroscopy, fourier transform infrared spectroscopy (FT-IR), fluorescence lifetime, transmission electron microscope (TEM) and X-ray photoelectron spectroscopy (XPS), were applied for the analysis of trypsin-templated copper nanoclusters (Cu NCs@Tryp).

Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images.

Motion estimation is a fundamental step in dynamic medical image processing for the assessment of target organ anatomy and function. However, existing image-based motion estimation methods, which optimize the motion field by evaluating the local image similarity, are prone to produce implausible estimation, especially in the presence of large motion. In addition, the correct anatomical topology is difficult to be preserved as the image global context is not well incorporated into motion estimation.

Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography.

Automated segmentation of left ventricular cavity (LVC) in temporal cardiac image sequences (consisting of multiple time-points) is a fundamental requirement for quantitative analysis of cardiac structural and functional changes. Deep learning methods for segmentation are the state-of-the-art in performance; however, these methods are generally formulated to work on a single time-point, and thus disregard the complementary information available from the temporal image sequences that can aid in segmentation accuracy and consistency across the time-points. In particular, single time-point segmentation methods perform poorly in segmenting the end-systole (ES) phase image in the cardiac sequence, where the left ventricle deforms to the smallest irregular shape, and the boundary between the blood chamber and the myocardium becomes inconspicuous and ambiguous.

Highly fluorescent carbon dots from coix seed for the determination of furazolidone and temperature.

In this work, blue emission fluorescent carbon dots (CDs) were fabricated by using the hydrothermal strategy from coix seed for the first time. We found that the prepared CDs possessed many excellent characteristics including excitation-dependent properties, good solubility and strong photostability. The optimal excitation and emission wavelength of CDs were 363 and 435 nm, respectively.

Novel luteolin sensor of tannic acid-stabilized copper nanoclusters with blue-emitting fluorescence.

In this work, the fluorescent copper nanoclusters (Cu NCs) were firstly adopted to detect luteolin with excellent performance. The blue-emitting Cu NCs was successfully prepared through a facile one-pot approach by protection of tannic acid (TA) and chemical reduction of ascorbic acid (AA). The water-soluble nanoclusters possessed uniform size and displayed good stability.