Postoperative acute kidney injury after on-pump cardiac surgery in patients with connective tissue disease

ObjectivePatients with connective tissue disease have a poor prognosis after receiving cardiac surgery. This study described the clinical scenarios and investigated factors correlated with acute kidney injury (AKI) after on-pump cardiac surgery in patients with systemic lupus erythematosus (SLE) or vasculitis.MethodsPatients with SLE or vasculitis who underwent on-pump cardiac surgery from March 2002 to March 2022 were enrolled, while patients with preoperative renal dysfunction were excluded. AKI was defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Uni- and multivariable analyses were performed to identify potential factors associated with postoperative AKI.ResultsAmong 123 patients enrolled, 39 (31.7%) developed AKI within seven days after receiving on-pump cardiac surgery. Four patients died in the hospital, resulting in an overall in-hospital mortality of 3.3%, and all deaths occurred in the AKI group. Patients in the AKI group also had longer ICU stays (median difference 3.0 day, 95% CI: 1.0–4.0, P < 0.001) and extubation time (median difference 1.0 days, 95% CI: 0–2.0, P < 0.001) than those in the non-AKI group. Multivariable logistic regression revealed that BMI over 24 kg/m2 (OR: 3.00, 95% CI: 1.24–7.28) and comorbid SLE (OR: 4.73, 95% CI: 1.73–12.93) were independently correlated with postoperative AKI.ConclusionFactors potentially correlated with AKI following on-pump cardiac surgery in patients with connective tissue disease were explored. Clinicians should pay more attention to preoperative evaluation and intraoperative management in patients with risk factors

Evaluation of Hybrid VMAT Advantages and Robustness Considering Setup Errors Using Surface Guided Dose Accumulation for Internal Lymph Mammary Nodes Irradiation of Postmastectomy Radiotherapy

ObjectivesSetup error is a key factor affecting postmastectomy radiotherapy (PMRT) and irradiation of the internal mammary lymph nodes is the most investigated aspect for PMRT patients. In this study, we evaluated the robustness, radiobiological, and dosimetric benefits of the hybrid volumetric modulated arc therapy (H-VMAT) planning technique based on the setup error in dose accumulation using a surface-guided system for radiation therapy.MethodsWe retrospectively selected 32 patients treated by a radiation oncologist and evaluated the clinical target volume (CTV), including internal lymph node irradiation (IMNIs), and considered the planning target volume (PTV) margin to be 5 mm. Three different planning techniques were evaluated: tangential-VMAT (T-VMAT), intensity-modulated radiation therapy (IMRT), and H-VMAT. The interfraction and intrafraction setup errors were analyzed in each field and the accumulated dose was evaluated as the patients underwent daily surface-guided monitoring. These parameters were included while evaluating CTV coverage, the dose required for the left anterior descending artery (LAD) and the left ventricle (LV), the normal tissue complication probability (NTCP) for the heart and lungs, and the second cancer complication probability (SCCP) for contralateral breast (CB).ResultsWhen the setup error was accounted for dose accumulation, T-VMAT (95.51%) and H-VMAT (95.48%) had a higher CTV coverage than IMRT (91.25%). In the NTCP for the heart, H-VMAT (0.04%) was higher than T-VMAT (0.01%) and lower than IMRT (0.2%). However, the SCCP (1.05%) of CB using H-VMAT was lower than that using T-VMAT (2%) as well as delivery efficiency. And T-VMAT (3.72) and IMRT (10.5).had higher plan complexity than H-VMAT (3.71).ConclusionsIn this study, based on the dose accumulation of setup error for patients with left-sided PMRT with IMNI, we found that the H-VMAT technique was superior for achieving an optimum balance between target coverage, OAR dose, complication probability, plan robustness, and complexity

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Verbatim feedback constitutes a valuable repository of user experiences, opinions, and requirements essential for software development. Effectively and efficiently extracting valuable insights from such data poses a challenging task. This paper introduces Allhands , an innovative analytic framework designed for large-scale feedback analysis through a natural language interface, leveraging large language models (LLMs). Allhands adheres to a conventional feedback analytic workflow, initially conducting classification and topic modeling on the feedback to convert them into a structurally augmented format, incorporating LLMs to enhance accuracy, robustness, generalization, and user-friendliness. Subsequently, an LLM agent is employed to interpret users' diverse questions in natural language on feedback, translating them into Python code for execution, and delivering comprehensive multi-modal responses, including text, code, tables, and images. We evaluate Allhands across three diverse feedback datasets. The experiments demonstrate that Allhands achieves superior efficacy at all stages of analysis, including classification and topic modeling, eventually providing users with an "ask me anything" experience with comprehensive, correct and human-readable response. To the best of our knowledge, Allhands stands as the first comprehensive feedback analysis framework that supports diverse and customized requirements for insight extraction through a natural language interface

Effects of coastal saline-alkali soil on rhizosphere microbial community and crop yield of cotton at different growth stages

Soil salinization is a global constraint that significantly hampers agricultural production, with cotton being an important cash crop that is not immune to its detrimental effects. The rhizosphere microbiome plays a critical role in plant health and growth, which assists plants in resisting adverse abiotic stresses including soil salinization. This study explores the impact of soil salinization on cotton, including its effects on growth, yield, soil physical and chemical properties, as well as soil bacterial community structures. The results of β-diversity analysis showed that there were significant differences in bacterial communities in saline-alkali soil at different growth stages of cotton. Besides, the more severity of soil salinization, the more abundance of Proteobacteria, Bacteroidota enriched in rhizosphere bacterial composition where the abundance of Acidobacteriota exhibited the opposite trend. And the co-occurrence network analysis showed that soil salinization affected the complexity of soil bacterial co-occurrence network. These findings provide valuable insights into the mechanisms by which soil salinization affects soil microorganisms in cotton rhizosphere soil and offer guidance for improving soil salinization using beneficial microorganisms

Current Status and Hotspot Analysis of Honey Safety Research Based on CiteSpace

In order to sort out the research process and hotspots of honey safety, this paper was based on the China national knowledge infrastructure (CNKI) database and the Web of Science (WOS) core collection, utilizing CiteSpace software to analyze and visualize publication trends, journals, authors, institutions, countries (regions), keywords, and other relevant information. The aforementioned databases yielded a total of 169 Chinese and 281 English literatures. The analysis revealed that the number of publications in Chinese literature on honey safety had been steadily increasing since 2011. The number of publications in English literature had displayed an oscillating upward trend since 2007, with a higher volume of publications in English literature over the past fifteen years compared to Chinese literature. ZHANG Q and GUNDUZ A were the most prolific authors in Chinese and English literature, respectively. While there were established cooperative relationships between researchers in both fields, collaborations between different groups remained relatively limited. Journal of Bee and Food Chemistry were the leading journals for publications on honey safety in English and Chinese, respectively. Both English and Chinese publishing journals primarily focused on the food industry. Yunnan Province Center for Disease Control and Prevention and Karadeniz Technical University were the research institutions with the highest publication output in Chinese and English, respectively. However, there was limited collaboration between research institutes in China. Turkey was the most influential country among the study countries (regions), followed by China, Poland, and New Zealand. During the initial stages of research, Chinese literature primarily explored topics such as "botulinum toxin" "pollen plants" "Triperygium wilfordii Hook. f." and "honey poisoning". However, after 2000, advancements in technologies such as chromatography, spectroscopy, and scanning electron microscopy led to the emergence of new keywords like "melissopalynology" and "gas chromatography". Consequently, gas chromatography, liquid chromatography, liquid-mass spectrometry, and scanning electron microscopy gained popularity as methods for detecting honey safety in research. During the early stages of research, English literature primarily delved into topics such as "pyrrolizidine alkaloids" "mad honey" "grayanotoxin" and "natural toxicants". This indicates that during this time, the primary emphasis was on studying toxic honey and natural toxins found in honey, specifically pyrrolizidine alkaloids and grayanotoxin. As technologies such as chromatography advanced, keywords like "mass spectrometry" began to emerge. It could be seen that the research in Chinese and English literature was focused on similar topics, such as toxic honey, honey poisoning, and the detection and tracing of toxic components in honey. However, there were slight differences in emphasis. In China, the main toxic nectar plants were Triperygium wilfordii Hook. f., Gelsemium elegans (Gardn. & Champ.) Benth. and Macleaya cordata (Willd.) R. Br., while the main toxic components detected in honey were triptolide and koumine. In foreign countries, honey poisoning incidents were mostly caused by grayanotoxin, pyrrolizidine alkaloids or tutin. This study provides reference for analyzing the research content and development process of honey safety and identifying research hotspots

miRNA profiling in intrauterine exosomes of pregnant cattle on day 7

Intrauterine exosomes have been identified to be involved in the embryo development and implantation. The aim of this study was to explore the role of miRNAs in intrauterine exosomes in bovine pregnancy. Intrauterine exosomes were collected from uterine flushing fluids of three donor and three recipient Xianan cows 7 days after fertilization. Intrauterine exosomes miRNAs were extracted and the exosomal miRNAs expression levels were analyzed. Sixty miRNAs differed significantly in their amounts between donors and recipients (p-value 1). Twenty-two miRNAs were upregulated and 38 downregulated in the group of donor cows. The bta-miR-184 was the most significant (PBenjamini-Hochberg < 0.001). A total of 9,775 target genes were predicted using the 60 miRNAs. GO and KEGG analysis showed that the target genes were enriched in several biological processes or pathways associated with embryo implantation and endometrial development, such as cell adhesion, cell junction, focal adhesion, and Rap1 signaling pathway. Our findings suggest that, in cattle early pregnancy stage, these differently expressed miRNAs in intrauterine exosomes involved in embryo implantation and endometrial development, which may exert a significant effect and influence the uterine microenvironment for embryo implantation. These results could provide reference for screening and exploring the intrauterine exosomal miRNA affecting embryo implantation

Bounding the role of domestic heating in haze pollution of Beijing based on satellite and surface observations

Domestic heating is a significant contributor to haze pollution in winter. Its role was estimated in a series of severe haze pollutions based on satellite and surface observations. The variations of haze clouds observed from satellite had different trends with the surface observations, indicating that anthropogenic emissions near surface had no direct relationship with haze clouds. Statistical results showed that domestic heating contributed to the increase in most of the monitored air pollutants, especially for SO2. Spatial interpolation and overlay analysis were conducted to get its spatial features in order to clarify its sources. Under the influence of transport from industrial regions of Hebei and Tianjin, the spatial distribution of particulate matter (PM2.5) induced from domestic heating were mainly concentrated in the south of Beijing. However, due to the scattered coal-fired heating in rural areas, domestic heating-induced gaseous pollutant (SO2), were mainly concentrated in suburban regions.Engineering, Electrical &amp; ElectronicGeosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)