mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Regional location of lymph node metastases predicts survival in patients with de novo metastatic prostate cancer

To report the regional locations of metastases and to estimate the prognostic value of the pattern of regional metastases in men with metastatic hormone-sensitive prostate cancer(mHSPC), we retrospectively analyzed 870 mHSPC patients between November 28, 2009, and February 4, 2021, from West China Hospital in Chengdu, China. The patients were initially classified into 5 subgroups according to metastatic patterns as follows: simple bone metastases(G1), concomitant bone and regional lymph node(LN) metastases(G2), concomitant bone and nonregional LN(NRLN) metastases(G3), lung metastases(G4), and liver metastases(G5). In addition, patients in the G3 group were subclassified as G3a and G3b based on the LN metastatic plane(below or above the diaphragm, respectively). The associations of different metastatic patterns with castration-resistant prostate cancer-free survival(CFS) and overall survival(OS) were analyzed by univariate and multivariate analyses. The results showed that patients in G1 and G2 had relatively favorable clinical outcomes, patients in G3a and G4 had intermediate prognoses, and patients in G3b and G5 had the worst survival outcomes. We observed that patients in G3b had outcomes comparable to those in G5 but had a significantly worse prognosis than patients in G3a(median CFS: 8.2 months vs 14.3 months, P = 0.015; median OS: 38.1 months vs 45.8 months, P = 0.038). In conclusion, metastatic site can predict the prognosis of patients with mHSPC,and the presence of concomitant bone and NRLN metastases is a valuable prognostic factor. Furthermore, our findings indicate that the farther the NRLNs are located, the more aggressive the disease is.
Data-driven cooperative optimal output regulation for linear discrete-time multi-agent systems by online distributed adaptive internal model approach

In this study,a data-driven learning algorithm was developed to estimate the optimal distributed cooperative control policy,which solves the cooperative optimal output regulation problem for linear discretetime multi-agent systems.Notably,the dynamics of all the agent systems and exo-system is completely unknown.By combining adaptive dynamic programming with an internal model,a model-free off-policy learning method is proposed to estimate the optimal control gain and the distributed adaptive internal model by only accessing the measurable data of multi-agent systems.Moreover,different from the traditional cooperative adaptive controller design method,a distributed internal model is approximated online.Convergence and stability analyses show that the estimate controller generated by the proposed data-driven learning algorithm converges to the optimal distributed controller.Finally,simulation results verify the effectiveness of the proposed method.
THE REGULARITY AND UNIQUENESS OF A GLOBAL SOLUTION TO THE ISENTROPIC NAVIER-STOKES EQUATION WITH ROUGH INITIAL DATA

A global weak solution to the isentropic Navier-Stokes equation with initial data around a constant state in the L~1∩ BV class was constructed in [1].In the current paper,we will continue to study the uniqueness and regularity of the constructed solution.The key ingredients are the Holder continuity estimates of the heat kernel in both spatial and time variables.With these finer estimates,we obtain higher order regularity of the constructed solution to Navier-Stokes equation,so that all of the derivatives in the equation of conservative form are in the strong sense.Moreover,this regularity also allows us to identify a function space such that the stability of the solutions can be established there,which eventually implies the uniqueness.
Pre-pregnant Overweight Interacts with ADIPOQ Genetic Variants to Influence Polyunsaturated Fatty Acids in Human Milk

Adiponectin, a specific hormone protein secreted by adipocytes, is a protective factor in the human body and has attracted great attention due to its anti-obesity activity. The adiponectin gene(ADIPOQ), which is located on human chromosome 3q27, is a single-copy gene. Various single-nucleotide polymorphisms(SNPs) of the human ADIPOQ play an important role in energy balance and are associated with body mass index(BMI) and obesity. Longchain polyunsaturated fatty acids(LC-PUFAs) have been identified to exert an important role during the first 1,000 days of life on infant growth,neurodevelopment, and visual acuity. Fatty acids,such as α-linoleic acid(ALA, C18:3n-3) and linoleic acid(LA, C18:2n-6), which cannot be synthesized de novo from other lipids, are necessary for biological reactions. Some fatty acids such as docosahexaenoic acid(DHA, C22:6n-3) and eicosapentaenoic acid(EPA, C20:5n-3) can be synthesized in neonates from their precursors(LA and ALA). Because of the very low conversion rates in the neonatal liver, it is crucial to provide adequate LC-PUFAs in the diet from early infancy. Therefore, we can infer that fatty acid intake in exclusively breastfeeding infants is entirely dependent on the abundant supply of breast milk. However, the association between ADIPOQ SNPs and maternal fatty acids has not been well explored. Studies have shown that maternal characteristics directly affect the concentration in breast milk,specifically including macronutrients, n-6/n-3, and expression of inflammatory markers in breast milk. However, to the best of our knowledge, this is the first analysis of the association between SNPs in ADIPOQ and breast milk PUFA concentration.
Passive electrochemical hydrogen recombiner for hydrogen safety systems: prospects

This paper presents the concept of a passive electrochemical hydrogen recombiner (PEHR). The reaction energy of the recombination of hydrogen and oxygen is used as a source of electrical energy according to the operating principle for hydrogen fuel cells to establish forced circulation of the hydrogen mixture as an alternative to natural circulation (as is not utilized in conventional passive autocatalytic hydrogen recombiners currently used in nuclear power plants (NPPs)). The proposed concept of applying the physical operation principles of a PEHR based on a fuel cell simultaneously increases both productivity in terms of recombined hydrogen and the concentration threshold of flameless operation (the ‘ignition’ limit). Thus, it is possible to reliably ensure the hydrogen explosion safety of NPPs under all conditions, including beyond-design accidents. An experimental setup was assembled to test a laboratory sample of a membrane electrode assembly (MEA) at various hydrogen concentrations near the catalytic surfaces of the electrodes, and the corresponding current-voltage characteristics were recorded. The simplest MEA based on the Advent P1100W PBI membrane demonstrated stable performance (delivery of electrical power) over a wide range of hydrogen concentrations.
Kaempferide ameliorates cisplatin-induced nephrotoxicity via inhibiting oxidative stress and inducing autophagy

Acute kidney injury (AKI) caused by anti-tumor drugs, such as cisplatin, is a severe complication with no effective treatment currently, leading to the reduction or discontinuation of chemotherapy. Natural products or herbal medicines are gradually considered as promising agents against cisplatin-induced AKI with the advantages of multi-targeting, multi-effects, and less resistance. In this study, we investigated the effects of kaempferide, a natural flavonoid extracted from the rhizome of Kaempferia galanga, in experimental AKI models in vitro and in vivo. We first conducted pharmacokinetic study in mice and found a relative stable state of kaempferide with a small amount of conversion into kaempferol. We showed that both kaempferide (10 µM) and kaempferol (10 µM) significantly inhibited cisplatin-caused injuries in immortalized proximal tubule epithelial cell line HK-2. In AKI mice induced by injection of a single dose of cisplatin (15 mg/kg), oral administration of kaempferide (50 mg/kg) either before or after cisplatin injection markedly improved renal function, and ameliorated renal tissue damage. We demonstrated that kaempferide inhibited oxidative stress and induced autophagy in cisplatin-treated mice and HK-2 cells, thus increasing tubular cell viability and decreasing immune responses to attenuate the disease progression. In addition, treatment with kaempferide significantly ameliorated ischemia-reperfusion-induced renal injury in vitro and in vivo. We conclude that kaempferide is a promising natural product for treating various AKI. This study has great implications for promotion of its use in healthcare products, and help to break through the limited use of cisplatin in the clinic.
Transition metal-ion mediated sulfur redox chemistry for aqueous batteries

Aqueous batteries represent promising solutions for grid-scale energy storage with the benefits of low-cost and high safety.Tremendous efforts have been devoted to identifying highcapacity cathode materials to couple the zinc metal anode.Sulfur exhibits a high theoretical specific capacity by transferring two electrons per atomic mass of 32.065 in forming a sulfide ion.In nonaqueous electrolytes,the operation potentials of the sulfur electrode are often maligned being below par at-0.9 V vs standard hydrogen electrode (SHE),where alkali metal ions serve as the charge carriers.However,when coupling with transition-metal ion charge carriers,e.g.Mn~(2+),Fe~(2+),Ni~(2+),Pb~(2+),and Cu~(2+),the reduction of sulfur to the corresponding metal sulfides exhibit much higher potentials.Such operation potentials render sulfur electrodes compatible with common aqueous electrolytes and confer the S||Zn full-cell a competitive voltage.
Deep Reinforcement Learning Based Bi-layer Optimal Scheduling for Microgrids Considering Flexible Load Control

In this paper, the bi-layer scheduling method for microgrids, based on deep reinforcement learning, is proposed to achieve economic and environmentally friendly operations. First, considering the uncertainty of renewable energy, the framework of day-ahead and intra-day scheduling is established, and the implementation scheme for both price-based and incentive-based demand response (DR) for the flexible load is determined. Then, comprehensively considering the operating characteristics of the microgrid in the day-ahead and intra-day time scales, a bi-layer scheduling model of the microgrid is established. In terms of algorithms, since day-ahead scheduling has no strict requirement for dispatching time, the particle swarm optimization (PSO) algorithm is used to optimize the time-of-use electricity price and distributed power output for the next day. Considering the environmental fluctuations and requirements for rapidity of intra-day online scheduling, the deep reinforcement learning (DRL) algorithm is adopted for optimization. Finally, based on the data from the actual microgrid, the rationality and effectiveness of the proposed scheduling method is verified. The results show that the proposed bi-layer scheduling based on the PSO and DRL algorithms achieves the optimization of scheduling cost and calculation speed, and is suitable for microgrid online scheduling.
Event-based Two-stage Non-intrusive Load Monitoring Method Involving Multi-dimensional Features

This paper proposes an event-based two-stage Nonintrusive load monitoring (NILM) method involving multidimensional features, which is an essential technology for energy savings and management. First, capture appliance events using a goodness of fit test and then pair the on-off events. Then the multi-dimensional features are extracted to establish a feature library. In the first stage identification, several groups of events for the appliance have been divided, according to three features, including phase, steady active power and power peak. In the second stage identification, a "one against the rest" support vector machine (SVM) model for each group is established to precisely identify the appliances. The proposed method is verified by using a public available dataset; the results show that the proposed method contains high generalization ability, less computation, and less training samples.
Capacity Configuration of Energy Storage Systems for Echelon Utilization Based on Accelerated Life Test in Microgrids

Retired power battery construction energy storage systems (ESSs) for echelon utilization can not only extend the remaining capacity value of the battery, and decrease environmental pollution, but also reduce the initial cost of energy storage systems. In this paper, an ESS constructed of retired power batteries for echelon utilization in microgrids (MGs) is considered. Firstly, considering the influence of different discharge depths on the battery life cycle, the correlation equation between the state of charge (SOC) and the state of health (SOH) is established. Secondly, the accelerated life test method, based on the inverse power law coefficient equation, is proposed, and it is used to evaluate the reliability of the ESS. Finally, according to the SOC characteristics, the dynamic security margin of the ESS is established. The life cycle cost, supply-demand balance and ESS balanced control are comprehensively considered, and the location and capacity of energy storage in MGs are determined. It is simulated using the IEEE-RTS 24 node system; the results show that the investment cost of the ESS is reduced and the operational life is prolonged.
Multifunctional Bidirectional Charging System for EVs and Grid with Improved Power Quality Using a Sparse Proportionate-NLMF Based Method

Electric vehicles (EVs) are one of the more emerging and significant areas, representing the future of transportation. Moreover, the increased demand for EVs brings greater attention toward the development of the charging infrastructure. Therefore, this paper addresses the multifunctional charging system integrated with the grid, EV battery and household utilities. It presents an improved idea about the charging system with grid connection and its connection to the varying local nonlinear load. It consists of a voltage source converter (VSC) tied to the grid and bidirectional converter, which charges/discharges the battery and also regulates the constant voltage across the DC bus, where all the vehicles are connected for charging. It also shows the operations of charging/discharging the battery of EVs and the voltage and current profile across the battery as per the state of charge (SOC) limits. Moreover, the sparse constrained proportionate normalized least mean fourth (SCP-NLMF) based method is used to control the charging system by estimating the active component of load current. The derived mean square error (MSE) of load current is improved due to low convergence rates in later periods. The adaptation process becomes more accurate by mitigating the MSE error of load current to converge faster and the dynamic response is further improved. The simulated and tested results validate the accuracy and efficacy of the SCPNLMF technique and charging system.
Petrogenesis of the Borjuri diorite pluton in the Mikir Massif of Northeast India:implications for post-collisional intermediate magmatism during the Pan-African orogeny

The Assam-Meghalaya Gneissic Complex (AMGC) of northeast India contains numerous Pan-African granitic bodies that have been attributed to post-collisional rift-related magmatism.The present study is concerned with the first appraisal of intermediate magmatism (diorite,monzonite,and monzodiorite) found in the Borjuri Pluton of Mikir Massif,which is the eastern extension of AMGC.The diorites are strongly metaluminous and exhibit enriched LREE ([La/Yb]N = 1.63-7.37) with respect to HREE ([Gd/Yb]_N = 1.95-2.27).The studied rocks do not show any mineralogical or textural indication of metamorphism.Tectonic discrimination diagrams indicate that these rocks originated in a within-plate tectonic setting.The lower Mg# (33.49-38.69),low Cr (below detection limit),and Ni (27-41 ppm) contents along with elemental ratios such as Rb/Sr (0.32-0.95),La/Nb (0.49-4.21),and Nb/Ce (0.11-0.64) suggest a crustal source for the diorites.Discrimination diagrams coupled with elemental ratios suggest that these rocks originated due to partial melting of mafic components in the crust with possible contribution from mantle materials.The P-T conditions of diorite emplacement (7.4 kbar,688 °C) were calculated using the amphibole-plagioclase geothermobarometer.Geochemical and geochronological data of the Pan-African felsic plutons reported from the AMGC indicate that these rocks were emplaced in a post-collisional extensional regime.The Borjuri Pluton is in close proximity with the Kathalguri Pluton,which has been reported as a product of Pan-African magmatism.In view of the numerous extensional Pan-African felsic magmatism reported from the AMGC and based on the close vicinity of the Borjuri diorites with the Kathalguri granites,we speculate that the Borjuri diorites are products of the Pan-African post-collisional magmatism.
Multiple grain-size fraction analysis of heavy minerals and the provenance identification of sediments from the abandoned Huanghe River,eastern China

The quantitative analysis of sediment sources in a sink is an important scientific topic and challenge in provenance research.The characteristics of heavy minerals,combined with the geochemical constituents of detrital grains,provide a reliable provenance-tracing approach.We developed a mineral identification method to analyze the multiple grain-size fraction of sediments,from which the elemental geochemistry of hornblende was used to compare the characteristics of sediments from the Huaihe River and Huanghe (Yellow) River in eastern China.Elements that were statistically identified as being able to discriminate sediment provenance were employed to perform a quantitative analysis of the sources of sediments of the abandoned Huanghe River.Results reveal that the Huaihe River is characterized by a high amphibole content of >60% and that the Huanghe and abandoned Huanghe rivers have greater abundances of limonite and carbonate minerals compared with those of the Huaihe River.The contents of trace elements and rare earth elements in hornblende show that the sediments of the abandoned Huanghe River are similar to those of the Huanghe River but different from those of the Huaihe River.Furthermore,chemical mass balance was used to calculate the relative contributions of different provenances of sediment from the abandoned Huanghe River,and nine trace elements of hornblende were identified as discriminators of provenance.Approximately 2% of the hornblende in the abandoned Huanghe River is derived from the Huaihe River and 98% from the Huanghe River.Considering the proportion of hornblende in the total sediment,it is inferred that the contribution of Huaihe River sediment to the abandoned Huanghe River is approximately 0.5%.This study shows that mineral analysis using multiple grain-size fractions (within the wide range of 1Φ to 6Φ) with assessment in elemental geochemistry of hornblende can characterize the provenance of fluvial material in coastal zones.
长QT综合征合并晕厥和抽搐与癫痫的鉴别诊断

长QT综合征是少见病,临床特征是心电图记录到QT/QTc间期延长,易发生尖端扭转性室性心动过速并可能恶化为心室颤动,导致晕厥和猝死。该类患者合并的心律失常可在首发时即引起猝死,也可呈反复短暂发作的特征,发作时可合并意识丧失和抽搐等癫痫发作的表现,抗癫痫发作的药物治疗可能部分有效;极少见情况下,长QT综合征患者同时存在神经系统离子通道功能异常,在长QT诱发心律失常晕厥的同时存在癫痫。对长QT综合征鉴别诊断的认识不足造成其漏诊和误诊为癫痫的比例较高。相较于癫痫误诊,长QT综合征合并心律失常发作误诊为癫痫造成猝死的危险性更高,临床鉴别十分重要,正确的诊断和治疗可能挽救患者的生命。
缓症链球菌致腰椎化脓性脊柱炎合并左侧髂静脉血栓1例

化脓性脊柱炎是一种罕见且严重威胁生命的感染性疾病,最常累及腰椎,早期难以与结核性脊柱炎和布鲁菌性脊柱炎鉴别,可能导致脊柱畸形、神经功能缺陷及瘫痪等严重并发症,甚至死亡。大部分患者由血源性感染所致,最常见病原体为金黄色葡萄球菌,链球菌少见。缓症链球菌属于条件致病菌,由其引起的化脓性脊柱炎较为罕见。本文报道1例由缓症链球菌感染导致腰椎化脓性脊柱炎合并左侧髂静脉血栓,经积极抗感染、脓肿穿刺引流、下腔静脉滤器植入联合左下肢静脉溶栓、抽栓及球囊扩张术治愈病例,供临床参考。
Influence of Soil-Structure Interaction Models on the Dynamic Responses of An Offshore Wind Turbine Under Environmental Loads

Offshore wind turbines(OWTs)suffer wind, wave and earthquake loads. The investigation of OWTs' dynamic response under environmental loads is essential for structural safety assessment. The soil-structure interaction(SSI)significantly affects the responses of OWT under environmental loads. However, there is few systematic research about the difference in the dynamic response of different SSI models under environmental loads. In order to solve the problem, the OWT is modeled by shell element, and several SSI models are built. The wind, wave and earthquake loads are taken into account. Moreover, the dynamic response, fatigue and buckling analysis are performed by ANSYS. The results indicate that SSI cannot be ignored in the dynamic response of the OWT under wind and wave loads. The SSI can decrease the displacement response of the OWT by 19% under wind and wave loads and reduce the fatigue damage of the pile. Multi-layer SSI can strongly influence the OWT's dynamic response under wind and wave loads or earthquake-only load. The vertical earthquake load increases the dynamic response in three directions. Besides, in order to simulate real environment, multi-layer SSI, soil damping and vertical SSI must be considered to evaluate the displacement response of the OWT under wind, wave and earthquake loads. The earthquake and gravity loads can cause more obvious response of the OWT than that of only wind and wave loads. The top and bottom of the tower are prone to occur buckling.
Numerical Study on the Pulsation Characteristics of An Attached Air Bubble Under A Nearby Oscillating Bubble

Numerical simulations of the non-spherical evolution of a pulsating bubble interacting with a stationary air bubble attached to a fixed structure were performed using a three-dimensional boundary integral method by implementing the mirror image method to simplify the processing of the numerical model. Code validation was accomplished by comparing the numerical results with the laboratory experimental data obtained in our previous study. Complex phenomena were observed, including three types of bubble jet forms, which depended strongly on the distance parameter with respect to the initial location of the bubble from the plate, the bubble strength parameter and the initial air bubble radius parameters. The results of the simulations provide detail insight into interesting bubble jetting phenomena, such as bubble splitting, jets moving away from the plate, and bubble shedding. The dimensionless distance parameter and the initial air bubble radius parameter play a major role in determining the shapes of two bubbles and the jetting direction. The air bubble strength parameter did not change the bubble jet direction but influenced the bubble shape. The detachment of the attached air bubble under oscillating bubble suction was easily observed for a small initial air bubble. These results showed that bubble jetting toward the plate was manipulated through the effect of attached air bubble, and that cavitation-based applications and underwater explosion bubble may benefit from this erosion mitigation approach.
Collaborative manufacturing technologies of structure shape and surface integrity for complex thin-walled components of aero-engine: Status, challenge and tendency

Presently, the service performance of new-generation high-tech equipment is directly affected by the manufacturing quality of complex thin-walled components. A high-efficiency and quality manufacturing of these complex thin-walled components creates a bottleneck that needs to be solved urgently in machinery manufacturing. To address this problem, the collaborative manufacturing of structure shape and surface integrity has emerged as a new process that can shorten processing cycles, improve machining qualities, and reduce costs. This paper summarises the research status on the material removal mechanism, precision control of structure shape, machined surface integrity control and intelligent process control technology of complex thin-walled components. Numerous solutions and technical approaches are then put forward to solve the critical problems in the high-performance manufacturing of complex thin-wall components. The development status, challenge and tendency of collaborative manufacturing technologies in the high-efficiency and quality manufacturing of complex thin-wall components is also discussed.