mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Reassessment of fenestration characteristics for residential buildings in hot climates: energy and economic analysis

This paper attempts to resolve the reported contradiction in the literature about the characteristics of high-performance/cost-effective fenestration of residential buildings, particularly in hot climates. The considered issues are the window glazing property (ten commercial glazing types), facade orientation (four main orientations), window-to-wall ratio (WWR) (0.2-0.8), and solar shading overhangs and side-fins (nine shading conditions). The results of the simulated runs reveal that the glazing quality has a superior effect over the other fenestration parameters and controls their effect on the energy consumption of residential buildings. Thus, using low-performance windows on buildings yields larger effects of WWR, facade orientation, and solar shading than high-performance windows. As the WWR increases from 0.2 to 0.8, the building energy consumption using the low-performance window increases 6.46 times than that using the highperformance window. The best facade orientation is changed from north to south according to the glazing properties. In addition, the solar shading need is correlated as a function of a window-glazing property and WWR. The cost analysis shows that the high-performance windows without solar shading are cost-effective as they have the largest net present cost compared to lowperformance windows with or without solar shading. Accordingly, replacing low-performance windows with high-performance ones, in an existing residential building, saves about 12.7 MWh of electricity and 11.05 tons of CO_2 annually.
High T_c superconductivity in layered hydrides XH15 (X = Ca, Sr, Y, La) under high pressures

The theoretical predictions and experimental synthesis of H_3S and LaH_(10) superconductors with record high superconducting transition temperatures (T_c) have promoted the hydrogen-based superconducors to be a research hotspot in the field of solid-state physics. Here, we predict an unprecedented layered structure CaH_(15), with high T_c of 189 K at 200 GPa using ab initio calculations. As concerns the novel structure, one layer is made of a hydrogen nonagon, the other layer consists of a Ca atom and six H_2 molecular units surrounding the Ca atom. This layered structure was also found in SrH_(15), YH_(15), and LaH_(15) at high pressures, each materials exhibit high T_c especially YH_(15) can reach above 200 K at 220 GPa. It represents the second class of layered superhydrides with high value of T_c after pentagraphene like HfH10.
Leaf morpho-physiology and phytochemistry of olive trees as affected by cultivar type and increasing aridity

The olive species(Olea europaea L.)is an ancient traditional crop grown under rainfed conditions in the Mediterranean Basin. In response to the growing national and international demand for olive oil, the olive cultivars are introduced into highly arid new bioclimatic areas. Subsequently, the morpho-physiology and phytochemistry of olive trees are potentially changing among cultivar types and geographical conditions. In the present work, we have undertaken an assessment on the impacts of geographical location and cultivar types on the leaf morpho-physiology and phytochemistry of olive trees. Thus, leaves of the two most cultivated olive tree varieties, Chemlal and Sigoise, were collected from three geographical regions(Setif, Batna, and Eloued)with increasing aridity in Algeria. Leaf samples from the geographical regions were analyzed using the standard physiological experiment, colorimetric method, and a chromatography assay. Leaves of both cultivars exhibited a significant variance in terms of the leaf shape index but not for the leaf tissue density, specific leaf weight, and specific leaf area. Photosynthetic pigment contents were affected by both cultivar type and geographical location, with the lowest pigment content recorded in the Sigoise cultivar from the Setif region. Compared with the Setif and Batna regions, dried leaves of both cultivars from the Eloued region showed the higher levels of the total polyphenol, total flavonoid, and total tannin, as well as a better antioxidant capacity. Liquid chromatography-mass spectrometry analysis of all leaf extracts identified the following phenolic acids as major compounds: oleuropein, naringin, apigenin-7-O-glucoside, kaempferol, quercetin, quercitrin, luteolin-7-O-naringenin, and quinic acid. Lower contents were found for p-Coumaric acid, trans-Ferulic acid, hyperoside, rutin, apigenin, caffeic acid, protocatechuic acid, o-Coumaric acid, and gallic acid. Also, epicatechin and catechin+ were not found in the leaf extracts of the Sigoise cultivar. The leaf organic extracts in both cultivars displayed promising anti-cancer activity that was affected by geographical location and organic solvent polarity. Briefly, although increasing aridity and soil organic and mineral deficiency affected the leaf morpho-physiological parameters, both cultivars sustained a chemical richness, a good antioxidant, and an anti-tumoral capacity in leaves. Furthermore, the findings revealed that regardless the olive tree genotype, there was a significant impact of geographical location on the leaf morpho-physiology, bioactivity, and chemical composition, which may consequently modulate the growth and oil production of olive trees.
Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs

Agriculture faces risks due to increasing stress from climate change, particularly in semi-arid regions. Lack of understanding of crop water requirement(CWR)and irrigation water requirement(IWR)in a changing climate may result in crop failure and socioeconomic problems that can become detrimental to agriculture-based economies in emerging nations worldwide. Previous research in CWR and IWR has largely focused on large river basins and scenarios from the Coupled Model Intercomparison Project Phase 3(CMIP3)and Coupled Model Intercomparison Project Phase 5(CMIP5)to account for the impacts of climate change on crops. Smaller basins, however, are more susceptible to regional climate change, with more significant impacts on crops. This study estimates CWRs and IWRs for five crops(sugarcane, wheat, cotton, sorghum, and soybean)in the Pravara River Basin(area of 6537 km~2)of India using outputs from the most recent Coupled Model Intercomparison Project Phase 6(CMIP6)General Circulation Models(GCMs)under Shared Socio-economic Pathway(SSP)245 and SSP585 scenarios. An increase in mean annual rainfall is projected under both scenarios in the 2050s and 2080s using ten selected CMIP6 GCMs. CWRs for all crops may decline in almost all of the CMIP6 GCMs in the 2050s and 2080s(with the exceptions of ACCESS-CM-2 and ACCESS-ESM-1.5)under SSP245 and SSP585 scenarios. The availability of increasing soil moisture in the root zone due to increasing rainfall and a decrease in the projected maximum temperature may be responsible for this decline in CWR. Similarly, except for soybean and cotton, the projected IWRs for all other three crops under SSP245 and SSP585 scenarios show a decrease or a small increase in the 2050s and 2080s in most CMIP6 GCMs. These findings are important for agricultural researchers and water resource managers to implement long-term crop planning techniques and to reduce the negative impacts of climate change and associated rainfall variability to avert crop failure and agricultural losses.
High-sensitive phototransistor based on vertical HfSe_2/MoS_2 heterostructure with broad-spectral response

Van der Waals heterostructures based on the two-dimensional (2D) semiconductor materials have attracted increasing attention due to their attractive properties. In this work, we demonstrate a high-sensitive back-gated phototransistor based on the vertical HfSe_2/MoS_2 heterostructure with a broad-spectral response from near-ultraviolet to near-infrared and an efficient gate tunability for photoresponse. Under bias, the phototransistor exhibits high responsivity of up to 1.42×10~3 A/W, and ultrahigh specific detectivity of up to 1.39×10~(15) cm·Hz~(1/2)·W~(-1). Moreover, it can also operate under zero bias with remarkable responsivity of 10.2 A/W, relatively high specific detectivity of 1.43×10~(14) cm·Hz~(1/2)·W~(-1), ultralow dark current of 1.22 fA, and high on/off ratio of above 105. These results should be attributed to the fact that the vertical HfSe_2/MoS_2 heterostructure not only improves the broadband photoresponse of the phototransistor but also greatly enhances its sensitivity. Therefore, the heterostructure provides a promising candidate for next generation high performance phototransistors.
Dental stem cell-derived extracellular vesicles transfer miR-330-5p to treat traumatic brain injury by regulating microglia polarization

Traumatic brain injury (TBI) contributes to the key causative elements of neurological deficits.However,no effective therapeutics have been developed yet.In our previous work,extracellular vesicles (EVs) secreted by stem cells from human exfoliated deciduous teeth (SHED) offered new insights as potential strategies for functional recovery of TBI.The current study aims to elucidate the mechanism of action,providing novel therapeutic targets for future clinical interventions.With the miRNA array performed and Real-time PCR validated,we revealed the crucial function of miR-330-5p transferred by SHED-derived EVs (SHED-EVs) in regulating microglia,the critical immune modulator in central nervous system.MiR-330-5p targeted Ehmt2 and mediated the transcription of CXCL14 to promote M2 microglia polarization and inhibit M1 polarization.Identified in our in vivo data,SHED-EVs and their effector miR-330-5p alleviated the secretion of inflammatory cytokines and resumed the motor functional recovery of TBI rats.In summary,by transferring miR-330-5p,SHED-EVs favored anti-inflammatory microglia polarization through Ehmt2 mediated CXCL14 transcription in treating traumatic brain injury.
Molecular beam epitaxy growth of quantum devices

The inherent fragility and surface/interface-sensitivity of quantum devices demand fabrication techniques under very clean environment. Here, I briefly introduces several techniques based on molecular beam epitaxy growth on pre-patterned substrates which enable us to directly prepare in-plane nanostructures and heterostructures in ultrahigh vacuum. The molecular beam epitaxy-based fabrication techniques are especially useful in constructing the high-quality devices and circuits for solid-state quantum computing in a scalable way.
A novel Si-rich SiN bilayer passivation with thin-barrier AlGaN/GaN HEMTs for high performance millimeter-wave applications

We demonstrate a novel Si-rich SiN bilayer passivation technology for AlGaN/GaN high electron mobility transistors (HEMTs) with thin-barrier to minimize surface leakage current to enhance the breakdown voltage. The bilayer SiN with 20- nm Si-rich SiN and 100-nm Si_3N_4 was deposited by plasma-enhanced chemical vapor deposition (PECVD) after removing 20-nm SiO_2 pre-deposition layer. Compared to traditional Si_3N_4 passivation for thin-barrier AlGaN/GaN HEMTs, Si-rich SiN bilayer passivation can suppress the current collapse ratio from 18.54% to 8.40%. However, Si-rich bilayer passivation leads to a severer surface leakage current, so that it has a low breakdown voltage. The 20-nm SiO_2 pre-deposition layer can protect the surface of HEMTs in fabrication process and decrease Ga-O bonds, resulting in a lower surface leakage current. In contrast to passivating Si-rich SiN directly, devices with the novel Si-rich SiN bilayer passivation increase the breakdown voltage from 29 V to 85 V. Radio frequency (RF) small-signal characteristics show that HEMTs with the novel bilayer SiN passivation leads to fT/fmax of 68 GHz/102 GHz. At 30 GHz and VDS = 20 V, devices achieve a maximum Pout of 5.2 W/mm and a peak power-added efficiency (PAE) of 42.2%. These results indicate that HEMTs with the novel bilayer SiN passivation can have potential applications in the millimeter-wave range.
Switching plasticity in compensated ferrimagnetic multilayers for neuromorphic computing

Current-induced multilevel magnetization switching in ferrimagnetic spintronic devices is highly pursued for the application in neuromorphic computing. In this work, we demonstrate the switching plasticity in Co/Gd ferrimagnetic multilayers where the binary states magnetization switching induced by spin-orbit toque can be tuned into a multistate one as decreasing the domain nucleation barrier. Therefore, the switching plasticity can be tuned by the perpendicular magnetic anisotropy of the multilayers and the in-plane magnetic field. Moreover, we used the switching plasticity of Co/Gd multilayers for demonstrating spike timing-dependent plasticity and sigmoid-like activation behavior. This work gives useful guidance to design multilevel spintronic devices which could be applied in high-performance neuromorphic computing.
Volumetric Imaging of Neural Activity by Light Field Microscopy

Recording the highly diverse and dynamic activities in large populations of neurons in behaving animals is crucial for a better understanding of how the brain works. To meet this challenge, extensive efforts have been devoted to developing functional fluorescent indicators and optical imaging techniques to optically monitor neural activity. Indeed, optical imaging potentially has extremely high throughput due to its non-invasive access to large brain regions and capability to sample neurons at high density, but the readout speed, such as the scanning speed in twophoton scanning microscopy, is often limited by various practical considerations. Among different imaging methods, light field microscopy features a highly parallelized 3D fluorescence imaging scheme and therefore promises a novel and faster strategy for functional imaging of neural activity. Here, we briefly review the working principles of various types of light field microscopes and their recent developments and applications in neuroscience studies. We also discuss strategies and considerations of optimizing light field microscopy for different experimental purposes, with illustrative examples in imaging zebrafish and mouse brains.
Stress analysis of full-length grouted bolt under shear deformation of anchor interface

The bolt anchoring force is closely related to the shear properties of the anchor interface.The shear stress distribution of full-length grouted bolts is analyzed based on the stress-strain relationship among the bolt,grout,rock mass and bond interface,considering the shear properties of the grout and contact interface bonding behavior.In this case,the interfacial shear stress of the grout and rock mass and the bolt axial force are obtained under pull-out and normal working conditions.The results show that the peak shear stress of the interface with the shear deformation of the bond interface is significantly lower than that without it when the pull-out force is applied.When designing bolt parameters of grade IV and V rock mass,the relative deformation between the rock mass and anchor should be considered,with a "unimodal" to "bimodal" shear stress distribution.In the case of a low elastic modulus of rock masses,both the shear stress concentration and distribution range are obvious,and the neutral point is near the bolt head.As the elastic modulus increases,the shear stress concentration and distribution range are reduced,and the neutral point moves towards the distal end.As a result,the optimum length of fulllength grouted bolts can be determined by in-situ pull-out tests and decreases with the increased elastic modulus of the rock mass.
Feasibility of Surfgrass Phyllospadix iwatensis Transplantation Along the Rocky Coasts of Shandong Peninsula, China

Surfgrass Phyllospadix iwatensis is a dominant seagrass species along the east coast of Shandong Peninsula, China. Like other seagrasses in the world, surfgrass has been declining in the past decades. To assess the possibility of transplanting P. iwatensis in the coastal area, a new surfgrass transplant system was designed and applied to conduct a surfgrass transplantation experiment in a tide pool and a subtidal area, and its survival, morphological and physiological parameters were examined from May 2019 to June 2020. The results showed that after a year since transplantation, more than 65% of the transplants survived and the survival rate was higher in the subtidal site than in the tide pool. The morphological measurements including shoot height, leaf width, number of leaves per shoot, rhizome diameter and elongation rate, and number of roots per shoot were all higher in the subtidal area than in the tide pool, showing that the P. iwatensis transplants grew better in the subtidal area than in the tide pool in the study area. These results indicated that surfgrass can be transplanted in the two areas, and it is probably more suitable in subtidal area than in tide pool in the study area.
Analysis of blasting vibration signal of high steep anti-dip layered rock slope

Blasting is one of the most economical and efficient mining methods in open-pit mine production.However,behind the huge benefits,it poses a hidden threat to the quality of slope rock mass,stability of slope,and safety of nearby buildings.In order to explore the influence of blasting vibration on the stability of anti-dip layered rock slopes,herein,the site near the large-scale toppling failure area of Changshanhao gold mine stope of Inner Mongolia Taiping Mining Co.,Ltd.was selected for on-site blasting test and monitoring.The Peak Particle Velocity (PPV) measured at the monitoring point is located on the lower side of the maximum allowable vibration velocity curve that is prepared based on the allowable speed standard evaluation chart in the full frequency domain established by standards practiced in various countries such as German DIN4150,the USBM RI 8507,and Chinese GB6722-2014.This indicates that the blasting vibration has less influence on the location of the monitoring point.The vibration signals obtained in the blasting test were analyzed using the wavelet packet theory,and it was concluded that the blasting vibration signals measured in the anti-dip layered rock slope were mainly concentrated in two frequency bands of 0-80 Hz and 115-160 Hz.The sum of energy of the two frequency bands accounted for more than 99%,wherein,the energy contained in the 0-80 Hz frequency band accounted for more than 85% of the monitoring signals.The vibration signal with 0-80 Hz frequency band monitored at the slope toe was selected for the energy attenuation analysis.The results showed that the energy attenuation decreased in radial,vertical,and tangential directions.Further,the Energy Attenuation Rate per Meter (EARPM) was calculated.In conjunction with the site characteristics analysis,it was found that the energy attenuation rate was significantly affected by the rock mass characteristics of the structural plane.The slope reinforcement project can effectively reduce the absorption of vibration energy by the slope and increase slope stability.
Identification of Non-Coding RNAs Based on Alignment-Free Features in Crassostrea gigas (Pacific Oyster) Transcriptome

Non-coding RNAs (ncRNAs) play important roles in the regulation of many biological processes, such as transcription initiation and epigenetic modifications that occur after transcription and development. Several novel transcripts have been identified via high-throughput sequencing. However, identifying ncRNAs among the transcripts of novel species using alignment-based features is difficult. Thus, developing a fast and accurate method based on alignment-free features to identify ncRNAs among novel transcripts is necessary. In this study, we proposed a new approach, namely, coding potential prediction based on alignment-free features (CPAF), to identify ncRNAs among a large number of candidates. CPAF used four types of features: Fickett score; Hexamer score; composition, transition, and distribution features; and modified k-mer. From the results, CPAF performed better than previous state-of-the-art methods in predicting ncRNA transcripts, with particular reference to small ncRNAs. Finally, we applied CPAF to identify ncRNAs in Pacific oyster transcripts. Our approach identified more ncRNAs than other previously used methods.
Prediction of nuclear charge density distribution with feedback neural network

Nuclear charge density distribution plays an important role in both nuclear and atomic physics, for which the two-parameter Fermi (2pF) model has been widely applied as one of the most frequently used models. Currently, the feedforward neural network has been employed to study the available 2pF model parameters for 86 nuclei, and the accuracy and precision of the parameter-learning effect are improved by introducing A~(1∕3) into the input parameter of the neural network. Furthermore, the average result of multiple predictions is more reliable than the best result of a single prediction and there is no significant difference between the average result of the density and parameter values for the average charge density distribution. In addition, the 2pF parameters of 284 (near) stable nuclei are predicted in this study, which provides a reference for the experiment.
Hierarchical dimensional crossover of an optically-trapped quantum gas with disorder

Dimensionality serves as an indispensable ingredient in any attempt to formulate low-dimensional physics, and studying the dimensional crossover at a fundamental level is challenging. The purpose of this work is to study the hierarchical dimensional crossovers, namely the crossover from three dimensions (3D) to quasi-2D and then to 1D. Our system consists of a 3D Bose-Einstein condensate trapped in an anisotropic 2D optical lattice characterized by the lattice depths V_1 along the x direction and V2 along the y direction, respectively, where the hierarchical dimensional crossover is controlled via V_1 and V_2. We analytically derive the ground-state energy, quantum depletion and the superfluid density of the system. Our results demonstrate the 3D-quasi-2D-1D dimensional crossovers in the behavior of quantum fluctuations. Conditions for possible experimental realization of our scenario are also discussed.
基于BDNF/TrkB/CREB信号通路探讨鼠尾草酸对大鼠抑郁样行为的改善作用

目的探讨鼠尾草酸对抑郁大鼠行为学的干预作用及对BDNF/TrkB/CREB信号通路的影响。方法大鼠随机分为空白组、模型组、阳性组及鼠尾草酸高、中、低剂量组,以慢性不可预知温和应激结合孤养方法复制大鼠抑郁症模型。鼠尾草酸高、中、低剂量组分别灌胃给予鼠尾草酸4.5、1.5、0.5 mg/kg;阳性组灌胃给予盐酸氟西汀1.8 mg/kg;空白组和模型组灌胃给予等体积生理盐水,每天1次,连续21 d。采用蔗糖偏好测试、悬尾实验和旷场实验评估大鼠行为学变化,ELISA法检测血清皮质酮(CORT)、去甲肾上腺素(NE)、5-羟色胺(5-HT)水平,免疫组化法分析大鼠海马BDNF、CREB阳性细胞分布,RT-qPCR和Western blot法检测海马组织BDNF、CREB mRNA及BDNF、酪氨酸激酶受体B(TrkB)、CREB蛋白表达。结果与模型组比较,鼠尾草酸各剂量组大鼠蔗糖偏好率和自发运动次数升高(P<0.05),悬尾不动时间缩短(P<0.05);血清5-HT、NE水平升高(P<0.05),CORT水平降低(P<0.05);海马区BDNF、CREB阳性细胞分布,BDNF、CREB mRNA表达及BDNF、TrkB、CREB蛋白表达均升高(P<0.05)。结论鼠尾草酸可剂量依赖性地改善大鼠抑郁样行为,其机制可能与调控BDNF/TrkB/CREB信号通路有关。
保元汤标准煎液TLC鉴别方法的建立

目的建立保元汤标准煎液TLC鉴别方法。方法以人参皂苷Rb_1、Rg_1、Re,毛蕊异黄酮葡萄糖苷,甘草苷,肉桂酸,6-姜酚为对照品,分别表征组方药味人参、黄芪、甘草、肉桂、生姜。再考察样品前处理方法,并对展开剂、显色及检视条件、点样量、展距、温湿度条件等进行研究。结果标准煎液经固相萃取柱后,以正丁醇-乙酸乙酯-水(4∶1∶5,10 ℃以下放置的上层液)为展开剂,在紫外光(254 nm)下检视黄芪;以10%硫酸乙醇溶液为显色剂,在105 ℃下加热至斑点显色清晰后,在紫外光(366 nm)下检视人参、甘草;经乙酸乙酯萃取后,以石油醚(60~90 ℃)-乙酸乙酯-甲酸(10∶10∶1)为展开剂,碘熏显色,在紫外光(254 nm)下检视肉桂、生姜。目标物斑点清晰,无拖尾,缺方样品无干扰。结论该方法专属性强,重复性好,操作简单,结果直观,实现了保元汤标准煎液中所有药材的鉴别,同时为保证工业生产过程中原料的可追溯性及该方现代制备工艺的质量控制标准提供实验依据。
红花与桃仁配伍对羟基红花黄色素A理化性质的影响

目的考察红花与桃仁配伍前后羟基红花黄色素A的理化性质变化,为该配伍的物质基础研究提供借鉴。方法建立桃仁-红花提取物中羟基红花黄色素A的HPLC分析方法;分别采用沉淀法和指标成分法测定桃仁-红花配伍前后固形物、羟基红花黄色素A的溶解度,考察不同溶剂和溶液pH值对配伍前后溶解度的影响;经典摇瓶法测定桃仁-红花配伍前后提取物中羟基红花黄色素A在正辛醇-水系统的油水分配系数。结果红花与桃仁配伍后,能提高其中的羟基红花黄色素A在水、正辛醇中的溶解度,且在正辛醇中溶解度随桃仁比例的增大而增大;二者配伍后能提高固形物在乙醇中的溶解度,但对羟基红花黄色素A及固形物在不同pH溶液中的溶解度影响较小;红花中羟基红花黄色素A的log P值随桃仁比例增大而增大。结论桃仁能够增加红花中羟基红花黄色素A的溶解度,提高其亲脂性,为红花与桃仁配伍的合理性提供有益支持。