809 research outputs found
复方丹参滴丸对非勺型高血压患者血压昼夜节律及高敏C反应蛋白、心功能影响
Objective: To investigate the effect of Compound Danshen Dripping Pill on circadian blood pressure, high sensitive C reactive protein and cardiac function in patients with non dipper hypertension. Methods: According to ABPM nocturnal blood pressure decline rate < 10%, select 178 patients whose systolic pressure and diastolic pressure meet the standards, 88 cases were divided into treatment group, and the rest 90 cases were in control group. All patients were having the levoamlodipine maleate 2.5mg, 1 time a day, the blood pressure still > 140 / 90mmHg, the addition of Stan. The treatment group were treated with 10 Compound Danshen Dripping Pills, 3 times a day, June. ABPM and hs-CRP, ultrasonic Beckoning figure was examined before and after treatment.Results: All the patients completed the study in June, by antihypertensive drugs and compound Danshen dripping pills after treatment, consulting room (CSBP and CDBP) and BP are parameters of ABPM increased significantly (P < 0.01). Partial parameters compared with the control group after treatment were significantly different (P < 0.05). Systolic blood pressure, diastolic blood pressure, circadian variation rate level, variation rate and high sensitive C reactive protein of the treatment group after treatment were significantly improved compared with the control group (P < 0.05). The treatment group after treatment of diastolic function improved significantly (P < 0.05), the control group after treatment had no obvious improvement. Systolic function of two groups before treatment increased slightly, no statistical significance (P > 0.05).Conclusion: Long-term use of Compound Danshen dripping pill can improve the circadian rhythm of blood pressure in patients with non dipper hypertension, reduce the high sensitive C reactive protein level, improve cardiac diastolic function.目的 探讨长时间服用复方丹参滴丸对非勺型高血压患者血压昼夜节律及高敏C反应蛋白、心功能的影响。方法 根据ABPM夜间血压下降百分率<10℅的指标,选择收缩压和或舒张压符合标准的患者178例,其中88例列为治疗组,其余90例列为对照组。所有患者都给予马来酸左旋氨氯地平2.5mg,日1次,血压仍>140/90mmHg,加用缬沙坦。治疗组加服复方丹参滴丸10粒,日3次,计6个月。治疗前后分别行ABPM及hs-CRP、超声心动图检测。结果 所有患者完成6个月的研究,经降压药和复方丹参滴丸治疗后,诊室BP(CSBP与CDBP)与ABPM各参数均有明显改善(P<0.01).部分参数与对照组治疗后比较差异有显著性(P<0.05)。治疗组治疗后收缩压昼夜变异率、舒张压变异率和高敏C反应蛋白水平较对照组均有明显改善(P<0.05)。治疗组的舒张功能治疗后有显著改善(P<0.05),对照组治疗后无明显改善。两组的收缩功能较治疗前略有提高,差异无统计学意义(P>0.05)。结论 长时间服用复方丹参滴丸能改善非勺型高血压患者血压昼夜节律,降低高敏C反应蛋白水平、改善心脏舒张功能
as a molecule from the pole counting rule
A comprehensive study on the nature of the resonant structure is
carried out in this work. By constructing the pertinent effective Lagrangians
and considering the important final-state-interaction effects, we first give a
unified description to all the relevant experimental data available, including
the and invariant mass distributions from the process, the distribution from and
also the spectrum in the process.
After fitting the unknown parameters to the previous data, we search the pole
in the complex energy plane and find only one pole in the nearby energy region
in different Riemann sheets. Therefore we conclude that is of
molecular nature, according to the pole counting rule
method~[Nucl.~Phys.~A543, 632 (1992); Phys.~Rev.~D 35,~1633 (1987)]. We
emphasize that the conclusion based upon the pole counting method is not
trivial, since both the contact interactions and the explicit
exchanges are introduced in our analyses and they lead to the same
conclusion.Comment: 21 pages, 9 figures. To match the published version in PRD.
Additional discussion on the spectral density function is include
Molecular characterization of the envelope gene of dengue virus type 3 newly isolated in Guangzhou, China, during 2009–2010
SummaryBackgroundAfter an absence of 29 years, dengue virus type 3 (DENV-3) re-emerged in Guangzhou in 2009 and again in 2010. However, the geographical route by which the virus entered the city, and how it has changed genetically, remain unclear. Therefore, we carried out a comprehensive investigation into the molecular characteristics of the DENV-3 involved.MethodsThe envelope (E) genes of viruses isolated from dengue patients during the 2009–2010 epidemics were sequenced and compared with previously published E gene sequences of global representative DENV-3 strains available in GenBank, including isolates circulating in other provinces of China.ResultsA total of 13 isolates (seven from 2009 and six from 2010) were obtained from human serum samples. Phylogenetic analysis revealed that the isolates were grouped into three genotypes (I, III, and V) and then two clades within genotype III (genotype I from Indonesia, genotype III clade A from Côte d’Ivoire, genotype III clade B from Tanzania, and genotype V from Philippines). In addition, there were 1.3–9.0% and 0.5–3.9% differences in the nucleic and deduced amino acid sequences between the 2009 and 2010 strains, respectively.ConclusionsThe DENV-3 viruses from the period 2009–2010 were not from the continuous spread of an epidemic strain or the re-emergence of the 2009 strains in the 2-year period. The introduction of different DENV-3 genotypes following more than one geographical route was an important contributing factor to the 2009–2010 dengue epidemics in Guangzhou
Public Auditing for Ensuring Cloud Data Storage Security With Zero Knowledge Privacy
In cloud storage service, clients upload their data together with authentication information to cloud storage server. To ensure the availability and integrity of clients\u27 stored data, cloud server(CS) must prove to a verifier that he is actually storing all of the client\u27s data unchanged. And, enabling public auditability for cloud storage is of critical importance to users with constrained computing resources, who can resort to a third party auditor (TPA) to check the integrity of outsourced data. However, most of the existing proofs of retrievability schemes or proof of data possession schemes do not consider data privacy problem. Zero knowledge privacy requires TPA or the adversary can not deduce any information of the file data from auditing system. In this paper, after giving a new construction of a recently proposed cryptographic primitive named aggregatable signature based broadcast (ASBB) encryption scheme, we present an efficient public auditing scheme with zero knowledge privacy. The new scheme is as efficient as the scheme presented by Shacham and Waters without considering privacy and is secure in the random oracle model
Ameliorating Adriamycin-Induced Chronic Kidney Disease in Rats by Orally Administrated Cardiotoxin from Naja naja atra
Previous studies reported the oral administration of Naja naja atra venom (NNAV) reduced adriamycin-induced chronic kidney damage. This study investigated the effects of intragastric administrated cardiotoxin from Naja naja atra venom on chronic kidney disease in rats. Wistar rats were injected with adriamycin (ADR; 6 mg/kg body weight) via the tail vein to induce chronic kidney disease. The cardiotoxin was administrated daily by intragastric injection at doses of 45, 90, and 180 μg/kg body weight until the end of the protocol. The rats were placed in metabolic cages for 24 hours to collect urine, for determination of proteinuria, once a week. After 6 weeks, the rats were sacrificed to determine serum profiles relevant to chronic kidney disease, including albumin, total cholesterol, phosphorus, blood urea nitrogen, and serum creatinine. Kidney histology was examined with hematoxylin and eosin, periodic acid-Schiff, and Masson’s trichrome staining. The levels of kidney podocin were analyzed by Western blot analysis and immunofluorescence. We found that cardiotoxin reduced proteinuria and can improve biological parameters in the adriamycin-induced kidney disease model. Cardiotoxin also reduced adriamycin-induced kidney pathology, suggesting that cardiotoxin is an active component of NNAV for ameliorating adriamycin-induced kidney damage and may have a potential therapeutic value on chronic kidney disease
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field of
Natural Language Processing (NLP) and have recently gained significant
attention in the domain of Recommendation Systems (RS). These models, trained
on massive amounts of data using self-supervised learning, have demonstrated
remarkable success in learning universal representations and have the potential
to enhance various aspects of recommendation systems by some effective transfer
techniques such as fine-tuning and prompt tuning, and so on. The crucial aspect
of harnessing the power of language models in enhancing recommendation quality
is the utilization of their high-quality representations of textual features
and their extensive coverage of external knowledge to establish correlations
between items and users. To provide a comprehensive understanding of the
existing LLM-based recommendation systems, this survey presents a taxonomy that
categorizes these models into two major paradigms, respectively Discriminative
LLM for Recommendation (DLLM4Rec) and Generative LLM for Recommendation
(GLLM4Rec), with the latter being systematically sorted out for the first time.
Furthermore, we systematically review and analyze existing LLM-based
recommendation systems within each paradigm, providing insights into their
methodologies, techniques, and performance. Additionally, we identify key
challenges and several valuable findings to provide researchers and
practitioners with inspiration. We have also created a GitHub repository to
index relevant papers on LLMs for recommendation,
https://github.com/WLiK/LLM4Rec.Comment: 10 pages, 3 figure
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