mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
全基因组测序和机器学习在食源性致病菌中的应用研究进展

食源性致病菌导致的食品污染和食源性疾病是影响世界各国公共卫生健康的重要问题之一。全基因组测序技术的发展,使得对食源性致病菌的研究变得更加快速和便捷,应用越来越广泛,逐渐成为食源性致病菌研究的常规工具。机器学习可通过算法优化和模型构建,有效提高全基因组数据分析的效率和精度,为研究食源性致病菌提供更为高效、精准的技术手段。本文对全基因组测序和机器学习在食源性致病菌中的应用研究进展进行综述。
基于MRI影像组学预测脑膜瘤基因表型可行性的研究进展

基因组学通过研究肿瘤生长、发展内在机制,向人们揭示了基因与肿瘤之间广泛而强烈的联系,而影像组学发展至今已在肿瘤诊断、良恶性分级、复发及预后预测方面取得了丰硕的成果。当基因组学与影像组学相遇时,便结合成为一个全新的领域———影像基因组学。通过影像基因组学预测脑膜瘤基因表型能为外科手术方案制定、术后复发以及预后评价提供前瞻性的医学信息,现就基于MRI影像组学预测脑膜瘤基因表型的可行性予以综述。
基于自动驾驶机器人的自动驾驶汽车制动强度对驾驶员舒适度的主客观影响分析

为研究平直路段不同初速度下自动驾驶汽车制动强度对驾驶员舒适度的影响,采用被试内设计实验进行了实车封闭场地实验并采集9名被试驾驶员在9个子实验中的心电和主观评价数据。基于心电数据提取了心率、心率变异性时域指标SDNN和RMSSD、频域指标LF和HF,采用重复测量一般线性模型分析了不同运动状态对上述参数的影响,并从客观和主观两方面分析了驾驶员的舒适度。结果表明:不同初速度下的制动会使心率轻微提升、心率变异性时域指标SDNN和RMSSD显著降低且这种变化不受行驶速度的调节,行驶速度和不同水平制动对频域指标LF和HF影响不显著。心率和RMSSD在不同制动水平间的变化差异不显著,SDNN的下降程度在不同制动水平间的差异显著,数据提示超过-4的制动强度可能为驾驶员不舒适的临界点。主观评价结果与客观生理数据高度一致,且主观分数与SDNN的变化量之间相关性显著,使用生理数据客观量化的表征舒适度具备可行性。总体来讲,平直路段不同初速度下自动驾驶汽车制动强度会造成驾驶员舒适度降低,客观生理指标与主观评价高度一致。
基于加权TOPSIS的输电线路电场屏蔽线优化研究

针对超高压同塔双回交流输电线路下方工频电场,首先基于有限元法建立输电线路模型,将计算结果与实测值对比验证其准确性;进一步通过架设屏蔽线研究屏蔽线数量、位置的变化与屏蔽效果之间关系,同时对多目标电场环境,提出采用加权TOPSIS(逼近理想解排序)法分配各区域权重后计算归一化得分,分析架设屏蔽线合理位置的优化方案。结果表明,算例中架设单根屏蔽线在输电线路正下方,峰值最高降低了23.8%;架设三根屏蔽线可有效降低32.9%,采用加权TOPSIS法可以找到合理的屏蔽线位置。该分析结果可为交流超高压输电线路的工程优化设计提供参考依据。
口底鳞状细胞癌骨转移颈肩痛1例

本病例诊断为左口底鳞状细胞癌骨转移,颈部及右肩疼痛,呈持续性酸胀样、针刺样、烧灼样疼痛,以夜间疼痛较明显,活动颈部及改变体位时疼痛加剧,疼痛诊断为伤害感受性疼痛合并神经病理性疼痛,口服吗啡缓释片后疼痛控制差,病人及家属要求快速镇痛治疗。本病例属于难治性癌痛的一种。经过评估颈部及右侧肩部神经病理性疼痛考虑为肿瘤包块压迫局部脏器及神经根导致的癌性疼痛,酸胀痛考虑是病人长期强迫体位导致的软组织损伤。口服吗啡缓释片治疗疼痛效果欠佳,NRS评分8,该病人及时转换PCA技术,并采用强效的氢吗啡酮,达到了快速滴定、快速爆发痛处理、快速探索镇痛维持剂量的目的。病人对镇痛满意,为后续积极抗肿瘤治疗起到保驾护航作用。PCA技术可实现快速、有效的镇痛治疗。在临床工作中,在镇痛的同时关注因药物治疗引起的不良反应以及病人心理症状,为病人提供身体、心理、精神等方面的照料和人文关怀,控制痛苦和不适症状,在延长生命的同时,要重视提高病人的生活质量、维护生命的尊严,体现医学的本质、和谐医患关系、促进社会文明和医学的进步。
细胞疗法治疗椎间盘退变研究进展

椎间盘退变可导致慢性腰痛和运动障碍的系列症状,其发病率随人类寿命的延长而不断上升,给社会造成了沉重的经济负担。目前的治疗手段包括非手术治疗和手术治疗,但只能暂时消除一部分症状,不能恢复椎间盘的正常组织结构和固有功能,且存在诸多并发症。针对退变椎间盘中细胞数量减少、功能减退这一现象,细胞疗法可向椎间盘内补充新鲜细胞,增加髓核中蛋白多糖和胶原的含量,恢复椎间盘正常的组织结构和生物力学功能,有望实现椎间盘再生。本文就目前细胞疗法治疗椎间盘退变的研究进展作一综述,以期为椎间盘退变的治疗提供更多研究思路。
Which species discovers novel food sources first? A camera trap study in a natural environment

Birds underlie a predation-starvation risk, and foraging should show a diurnal/circadian pattern. Camera traps were used to study visitation patterns and discovery of a novel food source in woodland birds in SW Germany. A total of 18 species occurred at feeders with nine of them being exploratory species. Great Tits (Parus major) discovered novel food sources first in most instances, and first discoveries occurred on average at 10:38, while it took 97 h for the first detection of the food source. Population size was correlated with discovery. The study supports the predation-starvation risk hypothesis with discovery of food sources in the morning.
Homeward bound: canopy cover and species identity influence non-breeding season homing success and speed in forest birds

Background: Efficient and safe movement is fundamental for wild birds to thrive in their environments. For arboreal forest animals, especially birds, canopy cover has a large impact on birds' daily movements and is a crucial component of conservation strategies seeking to retain avian population in disturbed or urban habitats. Methods: We translocated woodland bird species utilizing different forest strata during two non-breeding seasons in Gainesville, FL, USA. We used linear model and generalized linear model to examine the effects of canopy cover and species identity on homing success and speed. Results: Among our study species of Tufted Titmouse (Baeolophus bicolor), Carolina Chickadee (Poecile carolinensis), and Northern Cardinal (Cardinalis cardinalis), we found that Carolina Chickadees and Tufted Titmice were more likely to return than Northern Cardinals. Among birds that successfully returned, homing speed is significantly affected by forest canopy cover and species identity (titmice had higher homing speed than cardinals). Birds return much faster in landscape with higher canopy cover. Conclusions: This study presented evidence of species identity's effect on homing success and speed in common feeder bird species in Southeast US and provided further evidence that bird movements in the suburban land cover are constrained by low canopy cover.
Symptomatic Val122del mutated hereditary transthyretin amyloidosis:Need for early diagnosis and prioritization for heart and liver transplantation

Background:Hereditary transthyretin(ATTRv)amyloidosis is an autosomal dominant disease linked to transthyretin gene mutations which cause instability of the transthyretin tetramer.After dissociation and misfolding they reassemble as insoluble fibrils(i.e.amyloid).Apart from the common Val30Met mutation there is a very heterogeneous group of non-Val30Met mutations.In some cases,the clinical picture is dominated by a rapidly evolving restrictive and hypertrophic cardiomyopathy.Methods:A case series of four liver recipients with the highly clinically relevant,rare and particularly aggressive Val122del mutation is presented.Medical and surgical therapeutic options,waiting list policy for ATTRv-amyloidosis,including the need for heart transplantation,and status of heart-liver transplantation are discussed.Results:Three patients needed a staged(1 patient)or simultaneous(2 patients)heart-liver transplant due to rapidly progressing cardiac failure and/or neurologic disability.Domino liver transplantation was impossible in two due to fibrotic hepatic transformation caused by cardiomyopathy.After a follow-up ranging from 3.5 to 9.5 years,cardiac(allograft)function was maintained in all patients,but neuropathy progressed in three patients,one of whom died after 80 months.Conclusions:This is the first report in(liver)transplant literature about the rare Val122del ATTRv mutation.Due to its aggressiveness,symptomatic patients should be prioritized on the liver and,in cases with cardiomyopathy,heart waiting lists in order to avoid the irreversible neurological and cardiac damage that leads to a rapid lethal outcome.
An Parallel FPGA SAT Solver Based on Multi-Thread and Pipeline

The Boolean Satisfiability(SAT)problem is the key problem in computer theory and application.A parallel multi-thread SAT solver named pprobSAT+ on a configurable hardware is proposed.In the algorithm,multithreads are executed simultaneously to hide the circuit stagnate.In order to improve the working frequency and throughput of the SAT solver,the deep pipeline strategy is adopted.When all data stored in block random access memory of the field programmable gate array,the solver can achieve maximum performance.If partial data are stored in the external memory,the size of the problem instances the SAT solver can be greatly improved.The experimental results show that the speedup of three-thread SAT solver is approximately 2.4 times with single thread,and shows that the pprobSAT+ have achieved substantial improvement while a solution is found.
Study of selective hydrogenation of biodiesel in a DBD plasma reactor

In order to achieve the selective hydrogenation of biodiesel at room temperature and under normal pressure,we researched the upgrading of soybean biodiesel using a dielectric-barrier discharge(DBD)reaction system.Using Raney-Ni as the hydrogenation catalyst,the effects of the operating parameters on the hydrogenation depth and the selectivity of biodiesel were systematically analyzed.The results show that the polyunsaturated components in soybean methyl ester were reduced by 57.04%,and that the polyunsaturated components were hydrogenated to monounsaturated components with a selectivity of 77.75%.Based on the gas chromatography and mass spectrometry(GC-MS)test results,we established a kinetic model for biodiesel hydrogenation.A comparison of the calculated and experimental results shows that the hydrogenation of the biodiesel can be described by a quasi first-order reaction model.The calculated reaction rate constants indicate that under DBD plasma reaction conditions,the hydrogenation of biodiesel has high selectivity for the formation of monounsaturated components.
IgG4相关冠状动脉旁瘤~(18)F-FDG PET/CT显像一例

本例~(18)F-FDG PET/CT显示冠脉多处节段性血管壁软组织增厚,呈动脉旁瘤样改变,伴中等程度FDG摄取,证实处于IgG4相关炎性细胞浸润的动脉炎性反应状态。~(18)F-FDG PET/ CT的应用提高了对此类疾病的检出率,可使患者得到及时有效的免疫抑制治疗,避免不良临床结果。但~(18)F-FDG PET/CT显像对该病诊断价值有限,需结合血液学和病理学结果方可确诊。本例患者因肿瘤病史未行糖皮质激素治疗,随访1年无心血管事件发生。
RhoA/ROCK信号通路在妊娠相关疾病中的研究进展

RhoA/ROCK信号通路是一种多功能通路,其参与了广泛的生物和细胞生理功能和活动,在维持生理活动及疾病发生中发挥了重要的作用。大量研究表明,RhoA/ROCK信号通路在分娩过程、胚胎着床与发育等方面的调控中都发挥着重要作用,RhoA/ROCK信号通路的异常与产科疾病相关。本文基于RhoA/ROCK信号通路的相关研究,结合最新的一些研究进展,就RhoA/ROCK信号通路在妊娠相关疾病中的调控作用作一系列综述。
浙江省幼儿感染犬复孔绦虫1例

随着人民生活水平的提高,犬复孔绦虫感染率升高与饲养宠物密不可分。家长应注意尽量避免幼儿直接接触宠物,如接触玩耍后应及时洗手;注意个人卫生和饮食卫生;应定期对家中犬、猫驱虫、灭蚤。
天宗穴配合凤凰展翅针法治疗哺乳期急性乳腺炎初期22例

哺乳期急性乳腺炎,是产科病房中常见的一种乳腺急性化脓性感染性疾病,属于中医学“外吹乳痈” “乳痈”“奶疖”范畴[1]。笔者采用针刺天宗穴配合凤凰展翅针法治疗哺乳期急性乳腺炎初期患者22例,现报道如下。
Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods

There is a new public health catastrophe forbidding the world. With the advent and spread of 2019 novel coronavirus (2019-nCoV). Learning from the experiences of various countries and the World Health Organization (WHO)guidelines, social distancing, use of sanitizers, thermal screening, quarantining, and provision of lockdown in the cities being the effective measure that can contain the spread of the pandemic. Though complete lockdown helps in containing the spread, it generates complexity by breaking the economic activity chain. Besides, laborers, farmers, and workers may lose their daily earnings. Owing to these detrimental effects, the government has to open the lockdown strategically. Prediction of the COVID-19 spread and analyzing when the cases would stop increasing helps in developing a strategy. An attempt is made in this paper to predict the time after which the number of new cases stops rising, considering the strong implementation of lockdown conditions using three different techniques such as Decision Tree, Support Vector Machine, and Gaussian Process Regression algorithm are used to project the number of cases. Thus, the projections are used in identifying inflection points, which would help in planning the easing of lockdown in a few of the areas strategically. The criticality in a region is evaluated using the criticality index (CI), which is proposed by authors in one of the past of research works. This research work is made available in a dashboard to enable the decision-makers to combat the pandemic.
A Novel Green Supplier Selection Method Based on the Interval Type-2 Fuzzy Prioritized Choquet Bonferroni Means

In view of the environment competencies, selecting the optimal green supplier is one of the crucial issues for enterprises, and multi-criteria decision-making (MCDM)methodologies can more easily solve this green supplier selection (GSS)problem. In addition, prioritized aggregation (PA)operator can focus on the prioritization relationship over the criteria, Choquet integral (CI)operator can fully take account of the importance of criteria and the interactions among them, and Bonferroni mean (BM)operator can capture the interrelationships of criteria. However, most existing researches cannot simultaneously consider the interactions, interrelationships and prioritizations over the criteria, which are involved in the GSS process. Moreover, the interval type-2 fuzzy set (IT2FS)is a more effective tool to represent the fuzziness. Therefore, based on the advantages of PA, CI, BM and IT2FS, in this paper, the interval type-2 fuzzy prioritized Choquet normalized weighted BM operators with fuzzy measure and generalized prioritized measure are proposed, and some properties are discussed. Then, a novel MCDM approach for GSS based upon the presented operators is developed, and detailed decision steps are given. Finally, the applicability and practicability of the proposed methodology are demonstrated by its application in the sharedbike GSS and by comparisons with other methods. The advantages of the proposed method are that it can consider interactions, interrelationships and prioritizations over the criteria simultaneously.
Performant Au hydrogenation catalyst cooperated with Cu-doped Al_2O_3 for selective conversion of furfural to furfuryl alcohol at ambient pressure

Catalytic hydrogenation of furfural to furfuryl alcohol is an important upgrading process for valorization of biomass-derived furanyl platform molecules. However, selective hydrogenation of a,b-unsaturated aldehydes like furfural to the corresponding alcohols at ambient pressure remains challenging in sustainable chemistry. Till date heterogeneous Au hydrogenation catalyst has been scarcely reported for this reaction due to the low reactivity of Au for H_2 dissociation. In this work, we showed that Au nanoparticles (loading: 0.2 wt%) with a mean size of about 3 nm supported on Cu-doped Al_2O_3 can efficiently hydrogenate furfural to furfuryl alcohol in liquid phase at ambient pressure. We demonstrated that doping a small amount of Cu (2 mol%) to g-Al_2O_3 may modify the Lewis acidity-basicity of Al_2O_3 and simultaneously induce the presence of sufficient Cu~+ species on surface, which facilitated the hydrogen transfer from i-PrOH to furfural. Moreover, we observed an enhanced reactivity of Au toward molecular H_2 via cooperation with the Lewis acidic-basic Cu_2O-Al_2O_3 support. Hence, 100% yield to furfuryl alcohol with a productivity of 0.98 gFA·h~(-1)·gcat~(-1). at 120 ℃ and 0.1 MPa H_2 can be obtained. The prepared Au/Cu-Al_2O_3 catalyst was found reusable and was effective to the concentrated furfural solution, as well as several typical unsaturated aldehydes.
ZIF-derived mesoporous carbon materials prepared by activation via Na_2SiO_3 for supercapacitor

Metal organic frameworks (MOFs) derived carbonaceous materials have a wide range of applications in the fields of energy storage, catalysis, adsorption and separation, etc. Especially, zeolitic imidazolate framework-8 (ZIF-8) is an excellent candidate to synthesize porous carbon due to the large surface area and high nitrogen content. However, the dominated microporous structure of ZIF-8-derived carbon significantly hinders ionic mass transfer, limiting the improvement of performance. Herein, MOF-derived mesoporous carbon was prepared using ZIF-8 as carbon precursor and cheap sodium silicate (Na_2SiO_3) as activator. The introduction of Na_2SiO_3 created rich mesoporous structure and increased specific surface area, as well as the effects of pyrolysis temperature and Na_2SiO_3 dosage on performance was also investigated. The obtained ZIF-derived porous carbon exhibits good electrochemical performance with specific capacitance of 263 F/g at 1 A/g and excellent cycle life (96.07% after 10,000 GCD cycles) in supercapacitor. The use of cheap Na_2SiO_3 activator provides a new orientation for the preparation of MOF-derived carbons with rich pores, high surface area, and facilitates the large-scale application of MOF-derived carbons.
Transition characteristics for a small tail-sitter unmanned aerial vehicle

Research on the transition phase of tail-sitter Unmanned Aerial Vehicles (UAVs)is crucial for trajectory planning and performance analysis. This study focuses on the analysis of the transition characteristics and path of a small dual-rotor tail-sitter UAV, including static and dynamic computations. The system input time delay and actuator dynamics are specifically considered during the dynamic analysis, and these actual physical properties ensure that the computation results are reliable and reasonable. The UAV steady-state limit is obtained through static analysis, which is also adopted to verify the correctness of the dynamic results. In regard to the dynamic analysis, several typical transition approaches are computed based on different initial states and optimization objective functions, and the different computations are applicable under specific task conditions. The off-line dynamic results of the transition path and actuator output sequence could also be adopted as reference values for the transition process during real flight. A comparison of the static and dynamic results illustrates the necessity of combining these two methods for UAV transition characteristic analysis. Furthermore, the UAV conceptual parameters related to the transition path are also studied, and the obtained quantitative characteristics provide feedback for the UAV conceptual design.
A strong robustness open-circuit fault diagnosis strategy for novel fault-tolerant electric drive system based on d-q-axis current signal

To diagnose the Open-Circuit (OC)fault in the novel fault-tolerant electric drive system,based on d-q-axis current signal, a strong robustness diagnosis strategy is proposed and investigated. Fewer independent power supplies and converters are required in the novel fault-tolerant electric drive system based on Dual-Winding Permanent Magnet Motor (DWPMM), and the system's reliability, usage ratio and power density have been improved compared to the conventional fault-tolerant motor drive system. However, the novel fault-tolerant electric drive system has the OC fault diagnostic false alarms issue when load changes suddenly or under light-load condition. And it lacks the research on the diagnostic method when the system encounters intermittent OC fault in power switches. By theory derivation, simulation and experimental verification, it can be concluded that the proposed strong robustness OC fault diagnosis strategy based on d-q-axis current signal can overcome the OC fault diagnostic false alarms issue when load changes suddenly or under light-load condition. And it can detect and locate the OC fault of single-phase winding in real time, and diagnose the intermittent OC fault of power switches.
A Case Study on MJO Energy Transport Path in a Local Multi-scale Interaction Framework

A new local kinetic energy (KE) budget for the Madden–Julian Oscillation (MJO) is constructed in a multi-scale framework. This energy budget framework allows us to analyze the local energy conversion processes of the MJO with the high-frequency disturbances and the low-frequency background state. The KE budget analysis is applied to a pronounced MJO event during the DYNAMO field campaign to investigate the KE transport path of the MJO. The work done by the pressure gradient force and the conversion of available potential energy at the MJO scale are the two dominant processes that affect the MJO KE tendency. The MJO winds transport MJO KE into the MJO convection region in the lower troposphere while it is transported away from the MJO convection region in the upper troposphere. The energy cascade process is relatively weak, but the interaction between high-frequency disturbances and the MJO plays an important role in maintaining the high-frequency disturbances within the MJO convection. The MJO KE mainly converts to interaction KE between MJO and high-frequency disturbances over the area where the MJO zonal wind is strong. This interaction KE over the MJO convection region is enhanced through its flux convergence and further transport KE to the high-frequency disturbances. This process is conducive to maintaining the MJO convection. This study highlights the importance of KE interaction between the MJO and the high-frequency disturbances in maintaining the MJO convection.
Robust Solution for Boundary Layer Height Detections with Coherent Doppler Wind Lidar

Although coherent Doppler wind lidar (CDWL) is promising in detecting boundary layer height (BLH), differences between BLH results are observed when different CDWL measurements are used as tracers. Here, a robust solution for BLH detections with CDWL is proposed and demonstrated: mixed layer height (MLH) is retrieved best from turbulent kinetic energy dissipation rate (TKEDR), while stable boundary layer height (SBLH) and residual layer height (RLH) can be retrieved from carrier-to-noise ratio (CNR). To study the cause of the BLH differences, an intercomparison experiment is designed with two identical CDWLs, where only one is equipped with a stability control subsystem. During the experiment, it is found that the CNR could be distorted by instrument instability because the coupling efficiency from freespace to the polarization-maintaining fiber of the telescope is sensitive to the surrounding environment. In the ML, a bias up to 2.13 km of the MLH from CNR is found, which is caused by the CNR deviation. In contrast, the MLH from TKEDR is robust as long as the accuracy of wind is guaranteed. In the SBL (RL), the CNR is found capable to retrieve SBLH and RLH simultaneously and robustly. This solution is tested during an observation period over one month. Statistical analysis shows that the root-mean-square errors (RMSE) in the MLH, SBLH, and RLH are 0.28 km, 0.23 km, and 0.24 km, respectively.
Homogenization of the Daily Land Surface Temperature over the Mainland of China from 1960 through 2017

Land surface temperature (LST) is one of the most important factors in the land-atmosphere interaction process. Raw measured LSTs may contain biases due to instrument replacement, changes in recording procedures, and other non-climatic factors. This study attempts to reduce the above biases in raw daily measurements and achieves a homogenized daily LST dataset over China using 2360 stations from 1960 through 2017. The high-quality land surface air temperature (LSAT) dataset is used to correct the LST warming biases especially evident during cold months in regions north of 40ºN due to the replacement of observation instruments around 2004. Subsequently, the Multiple Analysis of Series for Homogenization (MASH) method is adopted to detect and then adjust the daily observed LST records. In total, 3.68×10~3 effective breakpoints in 1.65×10~6 monthly records (about 20%) are detected. A large number of these effective breakpoints are located over large parts of the Sichuan Basin and southern China. After the MASH procedure, LSTs at more than 80% of the breakpoints are adjusted within +/– 0.5ºC, and of the remaining breakpoints, only 10% are adjusted over 1.5ºC. Compared to the raw LST dataset over the whole domain, the homogenization significantly reduces the mean LST magnitude and its interannual variability as well as its linear trend at most stations. Finally, we perform preliminary analysis upon the homogenized LST and find that the annual mean LST averaged across China shows a significant warming trend [0.22ºC (10 yr)~(–1)]. The homogenized LST dataset can be further adapted for a variety of applications (e.g., model evaluation and extreme event characterization).