mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Applying organic amendment enriches nutrient status of municipal solid waste compost and its application enhances tuber yield and nutrient concentrations of potato

Elevated price of chemical fertilizers and poor nutrient content in conventional organic sources such as municipal solid waste (MSW) compost necessitate the production of nutrient enriched compost which could serve as a potential alternative organic fertilizer option. We studied three types of amended compost that were prepared by mixing 20% mustard oil cake (MOC) and 30% poultry manure (PM) or cow dung or sugarcane press mud (SPM) with 50% MSW compost. Trichoderma viride was inoculated into every type of compost. The rate of amended or unamended MSW compost application was 10 t ha -1. The use of different amendments improved the nutrient level of MSW compost, of which the N increment was remarkable, ranging from 1.14% N (unamended compost) to 2.9%-3.22% N depending on the types of amendment. A field experiment was conducted to evaluate performances of the amended MSW composts on the yield and nutrient content of potato (variety BARI Alu25). All compost treatments except the sole MSW compost treatment produced significantly higher tuber yields than the sole fertilizer treatment. The press mud based MSW compost + fertilizer treatment produced the highest tuber yield of 31.6 t ha -1 (65% increase over 100% fertilizers and 57% increase over 100% compost treatment). The tuber N concentration varied from 0.128% to 0.594%, P from 0.018% to 0.035%, K from 0.213% to 0.313% and S from 0.020% to 0.053%, with the highest result recorded with press mud + fertilizer treatment. The use of amended composts had residual effects on soil N, P, K and S contents. Thus, the treatment containing 50% fertilizer+50% compost mixture (MSW:MOC:SPM in a ratio of 5:2:3) performed the best followed by PM amended compost. It is concluded that integrated use of 10 t ha -1 organic amended MSW compost with chemical fertilizers can ensure higher crop yield, nutrient content and sustained soil fertility in nutrient-deficient sub-tropical soil.
A Simple yet Effective Framework for Active Learning to Rank

While China has become the largest online market in the world with approximately 1 billion internet users,Baidu runs the world's largest Chinese search engine serving more than hundreds of millions of daily active users and responding to billions of queries per day.To handle the diverse query requests from users at the web-scale,Baidu has made tremendous efforts in understanding users' queries,retrieving relevant content from a pool of trillions of webpages,and ranking the most relevant webpages on the top of the results.Among the components used in Baidu search,learning to rank (LTR) plays a critical role and we need to timely label an extremely large number of queries together with relevant webpages to train and update the online LTR models.To reduce the costs and time consumption of query/webpage labelling,we study the problem of active learning to rank (active LTR) that selects unlabeled queries for annotation and training in this work.Specifically,we first investigate the criterion-Ranking entropy (RE) characterizing the entropy of relevant webpages under a query produced by a sequence of online LTR models updated by different checkpoints,using a query-by-committee (QBC) method.Then,we explore a new criterion namely prediction variances (PV) that measures the variance of prediction results for all relevant webpages under a query.Our empirical studies find that RE may favor low-frequency queries from the pool for labelling while PV prioritizes high-frequency queries more.Finally,we combine these two complementary criteria as the sample selection strategies for active learning.Extensive experiments with comparisons to baseline algorithms show that the proposed approach could train LTR models to achieve higher discounted cumulative gain (i.e.,the relative improvement ΔDCG_4 = 1.38%) with the same budgeted labelling efforts.
Global Zero-relaxation Limit Problem of the Electro-diffusion Model Arising in Electro-Hydrodynamics

In this paper, we study a global zero-relaxation limit problem of the electro-diffusion model arising in electro-hydrodynamics which is the coupled Planck-Nernst-Poisson and Navier-Stokes equations. That is, the paper deals with a singular limit problem of involving with a positive, large parameter ϵ. The present work show a case that (u~ϵ, n~ϵ, c~ϵ) stabilizes to (u~∞, n~∞, c~∞):= (u, n, c) uniformly with respect to the time variable as ϵ → + ∞ with respect to the strong topology in a certain Fourier-Herz space.
A convolutional neural network to detect possible hidden data in spatial domain images

Hiding secret data in digital multimedia has been essential to protect the data. Nevertheless, attackers with a stega-nalysis technique may break them. Existing steganalysis methods have good results with conventional Machine Learning (ML) techniques; however, the introduction of Convolutional Neural Network (CNN), a deep learning paradigm, achieved better performance over the previously proposed ML-based techniques. Though the existing CNN-based approaches yield good results, they present performance issues in classification accuracy and stability in the network training phase. This research proposes a new method with a CNN architecture to improve the hidden data detection accuracy and the training phase stability in spatial domain images. The proposed method comprises three phases: pre-processing, feature extraction, and classification. Firstly, in the pre-processing phase, we use spatial rich model filters to enhance the noise within images altered by data hiding; secondly, in the feature extraction phase, we use two-dimensional depthwise separable convolutions to improve the signal-to-noise and regular convolutions to model local features; and finally, in the classification, we use multi-scale average pooling for local features aggregation and representability enhancement regardless of the input size variation, followed by three fully connected layers to form the final feature maps that we transform into class probabilities using the softmax function. The results identify an improvement in the accuracy of the considered recent scheme ranging between 4.6 and 10.2% with reduced training time up to 30.81 %.
食管闭锁术后食管气管瘘复发诊疗的专家共识(2023)

先天性食管闭锁是儿童常见的先天性消化道畸形,超过90%的患儿食管闭锁合并食管气管瘘(esophageal atresia with tracheoesophageal fistula, EATEF)。在其术后并发症中,食管气管瘘复发(recurrent tracheoesophageal fistula,rTEF)的处理尤为困难,其发生率可达到5%~10%。目前外科手术仍是治疗rTEF最主要的方式,由于患儿往往涉及多个系统的合并症,故多学科协作团队(multi-disciplinary team,MDT)诊疗模式在整个诊疗过程中发挥着重要协同作用[3]。正是由于rTEF及其合并症处理的复杂性和不同地区不同级别医疗机构间经验、水平与条件的差异性,目前亟需总结相关专家共识以指导治疗过程,进一步提高rTEF手术的成功率,减少术后并发症的发生以及降低死亡率。
Promotion of reactive oxygen species activated by nanosilver surface engineering for resistant bacteria-infected skin tissue therapy

Nanosilver has been regarded as a promising alternative to traditional antibiotics for fighting pathogenassociated infections due to its efficacy toward a broad spectrum of pathogens.However,bacterial resistance to nanosilver has emerged recently.In this contribution,a surface engineering strategy based on N-halamine chemistry to address bacterial resistance to nanosilver was proposed.Using 1,3-dichloro-5,5-dimethylhydantoin (DCDMH) as an N-halamine source,AgCl nanodots were deposited on the surface of Ag nanowires (Ag NWs) via in situ redox reaction to prepare AgCl-on-Ag NWs.After in vitro and in vivo tests,AgCl-on-Ag NWs effectively inactivated two antibiotic-resistant bacteria,ampicillinresistant Escherichia coli (AREC) and methicillin-resistant Staphylococcus aureus (MRSA) with the minimum bactericidal concentration (MBC) as low as 10 μg·ml-1 and exhibited good biosafety against normal cells.The experimental and theoretical tests demonstrated that AgCl-on-Ag NWs worked on AREC and MASA by generating high level of reactive oxygen species under visible light irradiation,coupled with the sustained Ag ion release.Meanwhile,the antibacterial mechanism of AgCl-on-Ag NWs against MRSA was verified at the gene level by transcriptome analysis (RNA sequencing).Moreover,the fullthickness defect model verified that AgCl-on-Ag NWs reduced inflammatory cell infiltration and dramatically accelerated wound healing.This work provides a synergistic mechanism based on nanosilver surface engineering to eradicate the resistant bacteria that can alleviate drug resistance and develop an innovative approach for the treatment of bacterial infections.
The complete plastid genome provides insight into maternal plastid inheritance mode of the living fossil plant Ginkgo biloba

The plastid is widely present in algae and plants with important functions in the process of photosynthesis, carbon fixation, and stress response(Shi et al., 2022). Despite the consistency between plastid genomes in plants, size variation of the plastid genome, gene loss, structure changes, and pseudogenes have been frequently observed(Ivanova et al., 2017). Plastid genome has currently shown a wide application in research of phylogeny, populations and biogeography in combination with nucleus genome(Wang et al., 2021). As is known, the plastid originates from cyanobacteria through two independent secondary endosymbiosis and has its own genetic replication mechanism(Howe et al., 2003). Thus, plastids have been suggested not to be transmitted according to the rules of Mendelian genetics, but generally demonstrate uniparental inheritance mode(Birky, 1995). Concerning the uniparental inheritance of plastids, research have been mainly conducted on species of angiosperms, but few on gymnosperms or ferns(Kita et al., 2005; Li et al., 2013).
Modulating sparks in a pulse train for repetitive and energy efficient plasma generation

Spark is a widely studied plasma source for active species production;however,it experiences unstable transitions (e.g.to a thermal arc) at high frequencies or long pulse durations.In this study,the sparks generated in a pulse train were studied and modulated based on a physics-corrected deep learning method.Our results show that a highly repeatable and stable spark plasma source can be achieved by automatically adjusting the voltage amplitude according to the discharge frequency in a high-frequency pulse train within the time scale of the fluid response.The influences of the electron number density increasing mode and modulated driven voltage profiles on the energy efficiencies were also studied.
Exploring the role of natural bioactive molecules in genitourinary cancers: how far has research progressed?

The primary approaches to treat cancerous diseases include drug treatment, surgical procedures, biotherapy, and radiation therapy. Chemotherapy has been the primary treatment for cancer for a long time, but its main drawback is that it kills cancerous cells along with healthy ones, leading to deadly adverse health effects. However, genitourinary cancer has become a concern in recent years as it is more common in middle-aged people. So, researchers are trying to find possible therapeutic options from natural small molecules due to the many drawbacks associated with chemotherapy and other radiation-based therapies. Plenty of research was conducted regarding genitourinary cancer to determine the promising role of natural small molecules. So, this review focused on natural small molecules along with their potential therapeutic targets in the case of genitourinary cancers such as prostate cancer, renal cancer, bladder cancer, testicular cancer, and so on. Also, this review states some ongoing or completed clinical evidence in this regard.
Phytochemistry,Pharmacology,and Clinical Applications of Centella Asiatica (L.) Urban

Centella asiatica,a traditional Chinese medicine belonging to the Umbelliferae family,was recorded in the Eastern Han Dynasty.Owing to its wide developmental prospects,many scholars have extensively explored C.asiatica and made significant progress in recent years.In this study,we summarize the phytochemistry,pharmacology,and clinical applications of C.asiatica (L.) Urban based on Google Scholar,PubMed,and CNKI databases.Triterpenes and their glycosides,flavonoids,terpenoids,and volatile oils occur in herbs.The pharmacological effects mainly comprise improving cognition and memory impairment in Alzheimer's disease and anti-inflammation activity.Clinical applications include the treatment of chronic kidney diseases,malignant intestinal obstruction,radiation dermatitis,precancerous lesions,chronic prostatitis,Alzheimer's disease,and other diseases.This review provides insights into the phytochemistry,pharmacology,and clinical applications of C.asiatica and summarizes the shortcomings of the research in recent years to provide a reference for future research.
医学科研管理及医学论文审稿中涉及重复测量数据的常见问题及建议

重复测量数据是科学研究中常见的一类数据,具有自相关性、时间序列性、非正态性等特征,《中华医学会系列杂志稿约通则(2022版)》明确要求,对涉及重复测量数据的分析资料,不能简单化处理。在相关科研工作实践中发现,很多涉及重复测量数据的医学论文在研究设计与写作过程中存在各种缺陷,导致论文中出现了较多明显的错误,从而影响整篇文章的学术质量。通过对重复测量数据处理过程中的常见问题进行归纳总结,可以帮助医学期刊审稿人员及医学科研管理人员在此类文章的审稿和医学科研管理中及时发现并处理相关问题,提高审稿工作及科研管理工作的质量及效率。本文重点就涉及重复测量数据的医学论文中常见的缺陷与问题进行综合分析与讨论并提出相应建议。
Disparities of Heatwave-Related Preterm Birth in Climate Types-China,2012-2019

What is already known about this topic? An association between prenatal heatwave exposure and the risk of preterm birth was found.However,the disparities in heatwave-related preterm birth across different climate types have not been examined.What is added by this report? This nationwide case-crossover study investigated the association between heatwave exposure and preterm birth across different Koppen-Geiger climate types.Among pregnant women residing in the arid-desert-cold climate type,exposure to compound heatwaves was found to be associated with a significantly higher risk of preterm birth {adjusted odds ratios (AORs) ranged from 1.55 [95% confidence interval (CI):1.21-1.97] to 2.11 (95% CI:1.35-3.31)}.In contrast,among pregnant women residing in the tropical monsoonal climate type,exposure to daytime-only heatwaves was associated with an increased risk of preterm birth [AORs ranged from 1.25 (95% CI:1.03-1.51) to 1.37 (95% CI:1.05-1.77)].What are the implications for public health practice? Specific interventions should be implemented in China to mitigate the risk of preterm birth related to heatwaves,particularly for pregnant women residing in arid-desert-cold and tropical monsoonal climates.
Fault Location Approach to Distribution Networks Based on Custom State Estimator

This paper presents a properly designed branch current based state estimator (BCBSE) used as the main core of an accurate fault location approach (FLA) devoted to distribution networks.Contrary to the approaches available in the literature,it uses only a limited set of conventional measurements obtained from smart meters to accurately locate faults at buses or branches without requiring measurements provided by phasor measurement units (PMUs).This is possible due to the methods used to model the angular reference and the faulted bus,in addition to the proper choice of the weights in the state estimator (SE).The proposed approach is based on a searching procedure composed of up to three stages:① the identification of the faulted zones;② the identification of the bus closest to the fault;and ③ the location of the fault itself,searching on branches connected to the bus closest to the fault.Furthermore,this paper presents a comprehensive assessment of the proposed approach,even considering the presence of distributed generation,and a sensitivity study on the proper weights required by the SE for fault location purposes,which can not be found in the literature.Results show that the proposed BCBSE-based FLA is robust,accurate,and aligned with the requirements of the traditional and active distribution networks.
Distribution Locational Marginal Pricing Based Equilibrium Optimization Strategy for Data Center Park with Spatial-temporal Demand-side Resources

This paper proposes a distribution locational marginal pricing (DLMP) based bi-level Stackelberg game framework between the internet service company (ISC) and distribution system operator (DSO) in the data center park.To minimize electricity costs,the ISC at the upper level dispatches the interactive workloads (IWs) across different data center buildings spatially and schedules the battery energy storage system temporally in response to DLMP.Photovoltaic generation and static var generation provide extra active and reactive power.At the lower level,DSO calculates the DLMP by minimizing the total electricity cost under the two-part tariff policy and ensures that the distribution network is uncongested and bus voltage is within the limit.The equilibrium solution is obtained by converting the bi-level optimization into a single-level mixed-integer second-order cone programming optimization using the strong duality theorem and the binary expansion method.Case studies verify that the proposed method benefits both the DSO and ISC while preserving the privacy of the ISC.By taking into account the uncertainties in IWs and photovoltaic generation,the flexibility of distribution networks is enhanced,which further facilitates the accommodation of more demand-side resources.
Targeting complement hyperactivation:a novel therapeutic approach for severe pneumonia induced by influenza virus/staphylococcus aureus coinfection

Dear Editor,Infections by the influenza virus are a significant and widespread global health threat,as these infections have an annual death toll ranging from 290,000 to 650,000.1 A significant proportion of these fatalities are attributed to secondary bacterial pneumonia,a severe complication commonly caused by ubiquitous respiratory pathogens such as Staphylococcus aureus (S.aureus).Of particular concern is the increased morbidity and mortality rates in individuals infected simultaneously with influenza virus and methicillin-resistant S.aureus (MRSA).The concurrent presence of bacteria and influenza virus usually causes acute respiratory distress syndrome (ARDS),which is associated with acute lung injury (ALI),severe lung tissue edema,and widespread inflammation.Nevertheless,determining the complex mechanisms underlying the synergistic interplay will require further investigation with a suitable coinfection mouse model.In our previous study,we utilized different sequential coinfections at various time points to model influenza A virus and MRSA coinfection.We found that mice infected with influenza A virus (H1N1A/Puerto Rico/8/34,also known as PR8,at a concentration of 1×10~2 TCID50/ml) followed by exposure to MRSA (5×10~7 CFU/ml) after 2 days (referred to as the d-2 group,Supplementary Table S1) experienced significant mortality and lung tissue damage.Significantly,the d-2 group displayed the highest mortality rate and the most severe lung damage on the fifth day of coinfection.4 Moreover,the increasing viral loads (Supplementary Fig.S1) hinted at a connection between lung damage and inflammatory cell infiltration,suggesting that the high mortality rate after H1N1A/MRSA coinfection may be due to overactivation of the inflammatory response,although validating this hypothesis will require further systematic investigation.
Gut liver brain axis in diseases:the implications for therapeutic interventions

Gut-liver-brain axis is a three-way highway of information interaction system among the gastrointestinal tract,liver,and nervous systems.In the past few decades,breakthrough progress has been made in the gut liver brain axis,mainly through understanding its formation mechanism and increasing treatment strategies.In this review,we discuss various complex networks including barrier permeability,gut hormones,gut microbial metabolites,vagus nerve,neurotransmitters,immunity,brain toxic metabolites,β-amyloid (Aβ) metabolism,and epigenetic regulation in the gut-liver-brain axis.Some therapies containing antibiotics,probiotics,prebiotics,synbiotics,fecal microbiota transplantation (FMT),polyphenols,low FODMAP diet and nanotechnology application regulate the gut liver brain axis.Besides,some special treatments targeting gut-liver axis include farnesoid X receptor (FXR) agonists,takeda G protein-coupled receptor 5 (TGR5) agonists,glucagon-like peptide-1 (GLP-1) receptor antagonists and fibroblast growth factor 19 (FGF19) analogs.Targeting gut-brain axis embraces cognitive behavioral therapy (CBT),antidepressants and tryptophan metabolism-related therapies.Targeting liver-brain axis contains epigenetic regulation and Aβ metabolism-related therapies.In the future,a better understanding of gut-liver-brain axis interactions will promote the development of novel preventative strategies and the discovery of precise therapeutic targets in multiple diseases.
Spatial-Temporal Analysis of Drinking Water Type of Endemic Fluorosis-China,2009-2022

What is already known about this topic? Endemic fluorosis,caused by high fluoride levels in drinking water,has been a significant health issue in rural areas of China for many decades.What is added by this report? There has been a notable decline in the detection rate of dental fluorosis in children aged 8-12 years in drinking water fluorosis areas across the country from 2009 to 2022.While 14 provincial-level administrative divisions are classified as low-probability clusters,Tianjin remains classified as a high-probability cluster.What are the implications for public health practice? The current policy for preventing and controlling endemic fluorosis in China needs adjustment.Rather than focusing solely on regions with high incidence,there should be a shift towards monitoring and early warning of fluoride exposure.Additionally,local containment measures should be intensified.
黑豆与黄酒共制女贞子炮制工艺优化

目的优化黑豆与黄酒共制女贞子炮制工艺。方法在单因素试验基础上,以蒸制时间、蒸制次数、烘制温度为影响因素,外观性状,红景天苷、特女贞苷、女贞苷G13、醇溶性浸出物含量,DPPH、ABTS自由基清除率的总评"归一值" (OD值)为评价指标,星点设计-响应面法优化炮制工艺。结果最优工艺为蒸制时间70 min,蒸制次数7次,烘制温度90 ℃,OD值为0.841 5。结论该方法简便可靠,稳定可行,可用于黑豆黄酒共制女贞子。
基于网络药理学和细胞实验探讨雷公藤红素抗鼻咽癌的作用机制

目的基于网络药理学和细胞实验探讨雷公藤红素抗鼻咽癌的作用机制。方法采用PubChem数据库获得雷公藤红素3D结构,导入Swisstarget获得前十潜在靶点。通过GeneCards数据库获得鼻咽癌疾靶点。将雷公藤红素与鼻咽癌交集靶点进行基因本体(GO)功能富集和京都基因与基因组百科全书(KEGG)通路富集分析。采用Cytoscape软件构建"雷公藤红素-靶点-鼻咽癌-通路"关系网络图,取度值前五的核心靶点进行分子对接验证。MTT法、流式细胞术探究雷公藤红素对鼻咽癌CNE-1细胞的增殖凋亡影响。Western blot法检测IKBKB、Phospho-NF-κB P65蛋白表达。结果共获得2 143个鼻咽癌基因靶点和101个药物靶点,筛选出共同靶点38个,GO富集分析得到生物过程442条、细胞组成18条、分子功能35条,KEGG通路富集分析得到77条通路。雷公藤红素诱导CNE-1凋亡,并呈剂量依赖性,同时降低IKBKB、Phospho-NF-κB P65蛋白表达(P<0.05)。结论雷公藤红素能抑制CNE-1增殖,其抗鼻咽癌的机制可能是通过抑制IKBKB蛋白,从而抑制NF-κB信号通路激活。
Regulations for the Manufacture and Control of Live Poliovirus Vaccine: International Experience and China’s Path

The eradication of poliomyelitis is a landmark achievement in the history of public health, providing strong protection for children’s health. The introduction of the Chinese Regulations for the Manufacture and Control of Live Poliovirus Vaccine is a prerequisite and safeguard for the large-scale production and use of domestically produced live poliovirus vaccines, serving as an indispensable component of vaccine safety. This article, based on archival documents, letters, collections of essays, and oral interviews, examines the historical experience of the development of Chinese Regulations for the Manufacture and Control of Live Poliovirus Vaccine. It contends that the emphasis on localization and the active engagement in international cooperation are critical factors in the swift introduction of Chinese Regulations for the Manufacture and Control of Live Poliovirus Vaccine.