Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of carbon nanotracers in lymph node dissection of advanced gastric cancer and the selection of preoperative labeling time

BACKGROUND The incidence of gastric cancer is high. The number of dissected lymph nodes was an independent factor affecting prognosis. Although preoperative labeling is helpful in lymph nodes resection, there are no guidelines for when to perform preoperative labeling. AIM To investigate the role of nanocarbon in lymph node dissection during gastrectomy, and to discuss the relationship between the timing of preoperative injection of carbon nanoparticles and the extent of lymph node dissection. METHODS A prospective analysis was performed on the clinical data of 307 patients with advanced gastric cancer who underwent laparoscopic surgery in the General Surgery Department of Weifang People’s Hospital between June 2018 and February 2021. The patients were randomly divided into experimental group and control group based on whether they received preoperative nanocarbon injection or not. The experimental group was divided into different groups according to the preoperative labeling time. The number of dissected lymph nodes and the number of lymph nodes with black staining were compared in each group after surgery, and the role of nanocarbon in the number of dissected lymph nodes, pathological staging, and the relationship with prognosis were discussed. RESULTS The average number of dissected lymph nodes in the experimental group was higher than that in the control group. In the experimental group, the number of lymph node dissections and number of black-staining lymph nodes in the nanocarbon-labeling group at 2 d and 1 d before surgery were higher than in the labeling group on the day before surgery (P < 0.05). CONCLUSION Preoperative nanocarbon labeling can safely and effectively guide lymph node dissection. To improve the detection rate of lymph nodes is conducive to subsequent comprehensive anti-tumor therapy.
Enabled homolog (ENAH) regulated by RNA binding protein splicing factor 3b subunit 4 (SF3B4) exacerbates the proliferation, invasion and migration of hepatocellular carcinoma cells via Notch signaling pathway

ABSTRACT Enabled homolog (ENAH) is an actin-binding protein that implicated in multiple malignant tumors. High ENAH expression has been verified to be associated with poor prognosis in hepatocellular carcinoma (HCC). We aimed to reveal the role of ENAH in HCC and the potential mechanism. ENAH expression in HCC tissues and the prognostic correlation were analyzed by GEPIA2 database. RT-qPCR and Western blot were used to test ENAH expression in HCC cells. Following ENAH silencing, cell proliferation was estimated by CCK-8 and colony formation assays. Transwell and wound healing assays were to assess cell invasion and migration. ENCORI database was to analyze the correlation between ENAH and splicing factor 3b subunit 4 (SF3B4) in HCC tissues, which was then verified by RIP and actinomycin D assay. Then, the expression of Notch signaling-related proteins was detected by Western blotting after ENAH knockdown. Afterward, Notch1 was overexpressed to validate whether ENAH impacted the biological events of HCC cells through mediating Notch signaling. Results revealed that ENAH expression was elevated in HCC tissues and cells and associated with poor prognosis. ENAH deficiency mitigated proliferation, invasion and migration of HCC cells. Mechanistically, ENAH was positively correlated with SF3B4 in HCC tissues. SF3B4 could bind to ENAH mRNA and stabilized ENAH. Besides, ENAH activated Notch signaling. Notch1 up-regulation reversed the influence of ENAH knockdown on biological events of HCC cells. Collectively, ENAH regulated by SF3B4 promoted the development of HCC through activating Notch signaling, which identified ENAH as a potent molecular target for HCC therapy and prognosis.
Complications following novel therapies for non‐small cell lung cancer

The emergence of tyrosine kinase inhibitors and immune checkpoint inhibitors has paved a new era for the management of non‐small cell lung cancer, which has for many years lacked major clinical breakthroughs. Historically, 5‐year overall survival remained below 5% in individuals with metastatic disease. These novel treatments have led to significant prolongation of survival in the locally advanced and metastatic setting, exceeding 25% in selected populations. However, they present new challenges to clinicians due to their inherently different spectrum of toxicity unique to each specific drug's pharmacodynamic profile. Internists commonly come across these side effects in their daily clinical practice. Their optimal recognition and management are of utmost importance, because it is associated with significant improvements in patient survival outcomes and their quality of life. The aim of this review is to summarize the complications following these novel treatments for non–small cell lung cancer.
Designing Conductive‐Bridge Phase‐Change Memory to Enable Ultralow Programming Power

Phase‐change material (PCM) devices are one of the most mature nonvolatile memories. However, their high power consumption remains a bottleneck problem limiting the data storage density. One may drastically reduce the programming power by patterning the PCM volume down to nanometer scale, but that route incurs a stiff penalty from the tremendous cost associated with the complex nanofabrication protocols required. Instead, here a materials solution to resolve this dilemma is offered. The authors work with memory cells of conventional dimensions, but design/exploit a PCM alloy that decomposes into a heterogeneous network of nanoscale crystalline domains intermixed with amorphous ones. The idea is to confine the subsequent phase‐change switching in the interface region of the crystalline nanodomain with its amorphous surrounding, forming/breaking “nano‐bridges” that link up the crystalline domains into a conductive path. This conductive‐bridge switching mechanism thus only involves nanometer‐scale volume in programming, despite of the large areas in contact with the electrodes. The pore‐like devices based on spontaneously phase‐separated Ge13Sb71O16 alloy enable a record‐low programming energy, down to a few tens of femtojoule. The new PCM/fabrication is fully compatible with the current 3D integration technology, adding no expenses or difficulty in processing.
Simulation Study of Net Recorder Apparatus

The net recorder simulation equipment is developed and the fishery module is added to the navigation simulator in order to make it fit for training fishing vessel's seafarers.A reasonable model of acoustic echo intensity is developed.Seabed echo images are drawn with specified colors automatically according to echo intensity.The Floy model of shoal movements is used and the transparent bitmap technology is adopted to display the fish shoal.With those technology the dynamic display of seabed,fish shoal and noise are finally realized.Running the module with navigation simulator on a network shows good simulation results.
Relation-model based fault diagnosis technique for liquid-propellant rocket engines

The relation-model for liquid-propellant rocket engines was proposed. Modeling for both setting up components' behavior models and system's structure model was described, respectively. Then, the reasoning mechanism for solving relation-model based on diagnosis problems was formulated and the relation-based fault diagnosis method was presented. By applying the diagnosis method proposed to the spacecraft propulsion systems, the results show that the relation-based fault diagnosis method is effective.
Knowledge, attitude, and practice on adverse drug reaction monitoring among health-care professionals in a tertiary care hospital

Background: Pharmacovigilance has constantly gained importance in the past 15 years, relating to absolute amount of adverse drug reactions (ADRs) and to the fact that several hospital admissions are due to ADRs. Knowledge of ADRs and practice of pharmacovigilance by healthcare professionals will definitely help to evaluate the quality of pharmacotherapy in hospitals and effectively decrease the occurrence of ADRs. Aims and Objectives: The objectives are as follows: (1) To assess the knowledge, attitude, and practice of health care professionals (HCPs) toward ADR monitoring and (2) to assess the causation of underreporting of ADRs. Materials and Methods: This study was a cross-sectional questionnaire-based study. The questionnaire was distributed to 328 HCPs which included al doctors, nurses and pharmacists serving in ESIC Medical College and Hospital, Kalaburagi. HCPs who did not give consent to fill the questionnaire were excluded from the study. Results: The response rate was 82.92%. In our study, only 25.75% were aware that ADR reporting is to be done by doctors, nurses and pharmacists, and 40.44% felt that ADR reporting should primarily done by doctors alone. Overall participants who knowledge about ADRs and pharmacovigilance were 48.8%. Although 75.7% participants agreed that ADR reporting is important, over 76.5% HCPs felt that reporting ADR would be an obligation. In this study 12.5% HCPs have ever reported ADR despite having experienced one during their clinical practice. Majority of the HCPs had a belief that a single ADR reporting would not change the ADR database; hence, this could be one of the reasons for low rate of reporting ADRs. Conclusion: In our study, though the level of knowledge and attitude toward ADR reporting was adequate among the HCPs, there was poor practice of ADR reporting. Necessary measures to be taken to create awareness among HCPs about Pharmacovigilance Programme in India. They should be trained to spontaneously report ADRs.
Effects of humate and neodymium on phytochemical levels in kale at different ontogenetic stages

The increased global mortality caused by the rise in chronic diseases can be reduced by the consumption of antioxidant-rich foods. Leafy green kale (Brassica oleracea var. sabellica) has high nutritional value due to its high antioxidant content and its consumption is highly correlated with a reduced risk of developing some chronic diseases. The paper focuses on examining the effects of two different mineral nutrients – neodymium and potassium humate – on the accumulation of flavonoids, vitamin C, phenolic compounds, carotenoids and malondialdehyde (MDA) content in field-grown leafy green kale. Leaves from treated plants were collected at three stages of maturity –14 weeks, 18 weeks, and 22 weeks and subjected to spectrophotometric analysis. The results showed that the stimulatory effect of both mineral nutrients on the phytochemicals varied at the different growth stages - the highest significant effect of neodymium has been mostly observed at week 18 with high flavonoid, vitamin C, and carotenoid levels. Phenolic compounds for this variant are the same as in the control samples, while the level of malondialdehyde was reduced by 21.8%, signifying increased antioxidant activity. The rare earth element primarily maintained some phytochemical content at weeks 14 and 22. Following soil treatment with potassium humate, the levels of studied phytochemical compounds were either maintained or elevated at weeks 14, 18, and 22. Humic acid exerted the greatest decrease in malondialdehyde content in kale at week 14, indicating a reduction in the lipid peroxidation process in leaves. Accordingly, the harvest date of leafy green kale (Brassica oleracea var. sabellica) should depend on the type of mineral nutrient applied. The obtained results provide information that may be relevant to the production of functional varieties and enhance the nutritional and possibly the economic value of kale.
Covariance predicts conserved protein residue interactions important to the emergence and continued evolution of SARS-CoV-2 as a human pathogen

SARS-CoV-2 is one of three recognized coronaviruses (CoVs) that have caused epidemics or pandemics in the 21st century and that likely emerged from animal reservoirs. Differences in nucleotide and protein sequence composition within related β-coronaviruses are often used to better understand CoV evolution, host adaptation, and their emergence as human pathogens. Here we report the comprehensive analysis of amino acid residue changes that have occurred in lineage B β-coronaviruses that show covariance with each other. This analysis revealed patterns of covariance within conserved viral proteins that potentially define conserved interactions within and between core proteins encoded by SARS-CoV-2 related β-coranaviruses. We identified not only individual pairs but also networks of amino acid residues that exhibited statistically high frequencies of covariance with each other using an independent pair model followed by a tandem model approach. Using 149 different CoV genomes that vary in their relatedness, we identified networks of unique combinations of alleles that can be incrementally traced genome by genome within different phylogenic lineages. Remarkably, covariant residues and their respective regions most abundantly represented are implicated in the emergence of SARS-CoV-2 are also enriched in dominant SARS-CoV-2 variants.
Forebrain Glucocorticoid Receptor Overexpression Alters Behavioral Encoding of Hippocampal CA1 Pyramidal Cells in Mice

Abstract Glucocorticoid signaling influences hippocampal-dependent behavior and vulnerability to stress-related neuropsychiatric disorders. In mice, lifelong overexpression of glucocorticoid receptor (GR) in forebrain excitatory neurons altered exploratory behavior, cognition, and dorsal hippocampal gene expression in adulthood, but whether GR overexpression alters the information encoded by hippocampal neurons is not known. We performed in vivo microendoscopic calcium imaging of 1359 dorsal CA1 pyramidal cells in freely behaving male and female wild-type (WT) and GR-overexpressing (GRov) mice during exploration of a novel open field, where most CA1 neurons are expected to respond to center location and mobility. Most neurons showed sensitivity to center location and/or mobility based on single-neuron calcium amplitude and event rate, but these sensitivity patterns differed between genotypes. GRov neurons were more likely than WT neurons to display center sensitivity and less likely to display mobility sensitivity. More than one-third of these responsive GRov neurons were sensitive only to center location and not mobility, while uniquely center-sensitive neurons were rare in WT. Most center-sensitive neurons exhibited anticipatory activity, suggesting they could drive behavior. We conclude that, compared with wild-type, dorsal CA1 pyramidal cells in GRov mice preferentially respond to center location rather than mobility in a novel open field. Such changes in the information encoded by individual hippocampal neurons in an aversive environment could underlie changes in stress vulnerability because of genetic or epigenetic variations in glucocorticoid receptor signaling.
Emerging HER2-directed therapeutic agents for gastric cancer in early phase clinical trials

ABSTRACT Introduction HER2 positive gastric cancer is a distinct subgroup overexpressing the HER2 receptor. For a decade, first-line Trastuzumab was the only licensed HER2-directed therapy for HER2 positive advanced gastric cancer following results from the ToGA trial in 2010 demonstrating a survival benefit when added to chemotherapy. Within the last year, significant advances have taken place in the field of HER2-directed gastric cancer therapy. Areas covered This review discusses pivotal clinical trial results and summarizes current clinical trials of HER2–directed therapy in gastric cancer. Evidence for HER2-directed antibodies, immunotherapy, immune stimulating antibody conjugates, antibody-drug conjugates (including DESTINY trial results), and tyrosine kinase inhibitors are placed into clinical context. Key challenges including resistance mechanisms and drug toxicities are outlined. Search terms ‘HER2’ and ‘gastric cancer’ were entered into ClinicalTrials.gov, PubMed, and Google. Only English-language studies were included. Expert Opinion Clinical management of HER2 positive gastric cancer patients is likely to change significantly over the next 5 years. Checkpoint inhibition is likely to be used alongside HER2-directed therapy and chemotherapy first-line in advanced disease. Trastuzumab deruxtecan is likely to be offered second-line and beyond. The sheer number of clinical trials of HER2-directed therapy in gastric cancer are testament to progress and potential.
Adult Hippocampal Neurogenesis in Alzheimer's Disease: An Overview of Human and Animal Studies with Implications for Therapeutic Perspectives Aimed at Memory Recovery

The mammalian hippocampal dentate gyrus is a niche for adult neurogenesis from neural stem cells. Newborn neurons integrate into existing neuronal networks, where they play a key role in hippocampal functions, including learning and memory. In the ageing brain, neurogenic capability progressively declines while in parallel increases the risk for developing Alzheimer's disease (AD), the main neurodegenerative disorder associated with memory loss. Numerous studies have investigated whether impaired adult neurogenesis contributes to memory decline in AD. Here, we review the literature on adult hippocampal neurogenesis (AHN) and AD by focusing on both human and mouse model studies. First, we describe key steps of AHN, report recent evidence of this phenomenon in humans, and describe the specific contribution of newborn neurons to memory, as evinced by animal studies. Next, we review articles investigating AHN in AD patients and critically examine the discrepancies among different studies over the last two decades. Also, we summarize researches investigating AHN in AD mouse models, and from these studies, we extrapolate the contribution of molecular factors linking AD-related changes to impaired neurogenesis. Lastly, we examine animal studies that link impaired neurogenesis to specific memory dysfunctions in AD and review treatments that have the potential to rescue memory capacities in AD by stimulating AHN.
Potential Analysis of Microbial Fuel Cells in Treating Wastewater and Recovering Energy

Global energy crisis has initiated wastewater treatment to develop towards resource and energy recovery. Also,the concepts of"power plants"and/or"carbon neutral"operation,which are advocated in Europe and US,are inspiring an international R and D hot topic of recovering energy from wastewater. As a technology removing organic substance( COD) and simultaneously recovering COD energy to generate electricity,microbial fuel cell( MFC) is being researched and developed in the ascendant. This situation needs us to systematically understand the background,principles and state-of-the-art of MFC and then to analyze the potential of MFC applied in wastewater treatment. Based on the state-ofthe-art of MFC,the energy potential of MFC from COD was roughly calculated,and the calculation revealed that the energy conversion efficiency of MFC was much less,even lower than that from methane from anaerobic digestion of excess sludge. Moreover,limited energy recovery from MFC was at the expense of carbon source( COD) required for nutrient removal. Microbial electrolysis cell( MEC) developed from MFC had probably the similar problem when applied. Facing such a predicament,MFC/MEC was oriented on the future R and D approaches.
Telomere: Real-Time NAND Flash Storage

Modern solid-state disks achieve high data transfer rates due to their massive internal parallelism. However, out-of-place updates for flash memory incur garbage collection costs when valid data needs to be copied during space reclamation. The root cause of this extra cost is that solid-state disks are not always able to accurately determine data lifetime and group together data that expires before the space needs to be reclaimed. Real-time systems found in autonomous vehicles, industrial control systems, and assembly-line robots store data from hundreds of sensors and often have predictable data lifetimes. These systems require guaranteed high storage bandwidth for read and write operations by mission-critical real-time tasks. In this article, we depart from the traditional block device interface to guarantee the high throughput needed to process large volumes of data. Using data lifetime information from the application layer, our proposed real-time design, called Telomere, is able to intelligently lay out data in NAND flash memory and eliminate valid page copies during garbage collection. Telomere’s real-time admission control is able to guarantee tasks their required read and write operations within their periods. Under randomly generated tasksets containing 500 tasks, Telomere achieves 30% higher throughput with a 5% storage cost compared to pre-existing techniques.
Resistant Starch in Rice: Its Biosynthesis and Mechanism of Action Against Diabetes-Related Diseases

ABSTRACT Rice with a high resistant starch (RS) content is one the most commonly used, effective, and safe functional foods, which can be used to prevent diabetes and its related complications in humans. Based on the health benefits (highest to lowest), the types of RS can be categorized as follows: RS1> RS3> RS5> RS4> RS2. Here, we discuss the biosynthesis and mechanism of action [processing changes, biochemistry, and glycemic index (GI)] of the five RS types present in rice as well as their potential of preventing diabetes-related diseases, based on reports published from 2004 to 2021 in PubMed, CNKI, and ISI Web of Science databases. High-RS rice has gained considerable interest owing to the advantages it offers as a staple food product and its potential for controlling appetite with satiety, lowering glucose levels in the stomach and small intestine, and increasing the short-chain fatty acid content in the large intestine, which helps combat metabolic syndrome by controlling gluconeogenesis, promoting glycogenesis, maintaining glucose and lipid homeostasis, and improving pancreatic function. Rice is an important source of RS (>3%, GI<55) and can help prevent diabetes. However, certain types of rice have a high GI (>85), which may induce metabolic syndrome. The RS content of rice ranges from 0.1% to 25.4% and the GI ranges from 44 to 132, which has many factors relating in the white rice. In this review, we discuss the diversity in RS content based on the biosynthetic mechanism and the mechanism of action of high-RS rice in diabetes. We also discuss potential limitations of rice breeding programs and the methods that can be used to ensure the availability of effective, yet palatable, high-RS rice.
State of the art in wind speed in England using BATS ,TBATS , Holt’s Linear and ARIMA model

Wind energy is one of the most important renewable energy sources in the world. Hence, the prediction of wind speed is a highly significant subject with respect to both protecting the environment and economic development. England is among the countries with an increasing interest in the potential for wind energy systems. In this study, various time series models, including BATS, TBATS, Holt’s Linear Trend, and ARIMA models were applied for wind speed prediction in England, and their performance was compared. The available wind speed data between 1994-07-07 and 2015-12-31 were divided into two parts: training data that is used to build up the models and testing data that is used to measure the validity of a model forecast. The results of the testing data indicate that the BATS and ARIMA outperform the other time series models according to the root mean square errors.