mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
The Emotion-Regulation Benefits of Implicit Reappraisal in Clinical Depression: Behavioral and Electrophysiological Evidence

Major depressive disorder (MDD) is characterized by emotion dysregulation. Whether implicit emotion regulation can compensate for this deficit remains unknown. In this study, we recruited 159 subjects who were healthy controls, had subclinical depression, or had MDD, and examined them under baseline, implicit, and explicit reappraisal conditions. Explicit reappraisal led to the most negative feelings and the largest parietal late positive potential (parietal LPP, an index of emotion intensity) in the MDD group compared to the other two groups; the group difference was absent under the other two conditions. MDD patients showed larger regulatory effects in the LPP during implicit than explicit reappraisal, whereas healthy controls showed a reversed pattern. Furthermore, the frontal P3, an index of voluntary cognitive control, showed larger amplitudes in explicit reappraisal compared to baseline in the healthy and subclinical groups, but not in the MDD group, while implicit reappraisal did not increase P3 across groups. These findings suggest that implicit reappraisal is beneficial for clinical depression.
Double-face intelligent hole position planning method for precision blasting in roadways using a computer-controlled drill jumbo

To solve the uneven burden of same-type holes reducing the blasting efficiency due to the limitation of drilling equipment, we need a double-face program-controlled planning method for hole position parameters used on a computer-controlled drilling jumbo. The cross-section splits into even and uneven areas. It also considers the uneven burden at the hole’s entrance and bottom. In the uneven area, various qualifying factors are made to optimize the hole spacing and maximize the burden uniformity, combined with the features of the area edges and gridbased segmentation methods. The hole position coordinates and angles in the even area are derived using recursion and iteration algorithms. As a case, this method presents all holes in a 4.8 m wide and 3.6 m high cross-section. Compared with the design produced by the drawing method, our planning in the uneven area improved the standard deviation of the hole burden by 40%. The improved hole layout facilitates the evolution of precise, efficient, and intelligent blasting in underground mines.
Latest advances and progress in the microbubble flotation of fine minerals: Microbubble preparation, equipment, and applications

In the past few decades, microbubble flotation has been widely studied in the separation and beneficiation of fine minerals. Compared with conventional flotation, microbubble flotation has obvious advantages, such as high grade and recovery and low consumption of flotation reagents. This work systematically reviews the latest advances and research progress in the flotation of fine mineral particles by microbubbles. In general, microbubbles have small bubble size, large specific surface area, high surface energy, and good selectivity and can also easily be attached to the surface of hydrophobic particles or large bubbles, greatly reducing the detaching probability of particles from bubbles. Microbubbles can be prepared by pressurized aeration and dissolved air, electrolysis, ultrasonic cavitation, photocatalysis, solvent exchange, temperature difference method (TDM), and Venturi tube and membrane method. Correspondingly, equipment for fine-particle flotation is categorized as microbubble release flotation machine, centrifugal flotation column, packed flotation column, and magnetic flotation machine. In practice, microbubble flotation has been widely studied in the beneficiation of ultrafine coals, metallic minerals, and nonmetallic minerals and exhibited superiority over conventional flotation machines. Mechanisms underpinning the promotion of fine-particle flotation by nanobubbles include the agglomeration of fine particles, high stability of nanobubbles in aqueous solutions, and enhancement of particle hydrophobicity and flotation dynamics.
Electrosynthesis of hydroxylamine from nitrate reduction in water

Hydroxylamine(NH_2OH), a vital but unstable industrial feedstock, is presently prepared under harsh conditions that cause environmental and energy concerns. Here, we report an electrochemical method to prepare oximes, which serve as precursors for NH_2OH after facile hydrolysis. The carbon-supported amorphous Mn electrocatalyst delivers a current density of ~100 mA cm~(-2) with a Faradaic efficiency of 40.92% and a yield rate of 0.251 mmol cm~(-2) h~(-1) for formaldoxime(CH_2NOH) generation by using nitrate and formaldehyde as reactants. Formaldoxime can be easily released to produce NH_2OH via hydrolysis. Impressively, this method exhibits an economic advantage over conventional manufacturing based on techno-economic analysis. A series of control experiments, in situ characterizations, and theoretical simulations unveil the reaction mechanism via the spontaneous reaction between an aldehyde and *NH_2OH intermediate derived from nitrate electroreduction. The high activity of Mn originates from its inhibitory effects on the further reduction of key *NH_2OH intermediate. This strategy opens a sustainable and green way for NH_2OH synthesis under mild conditions using renewable energy.
Functionalizing the interfacial double layer to enable uniform zinc deposition

Due to the unsatisfactory electrode/electrolyte interface, the metallic Zn dendrites and corrosion are easily induced, severely hindering the applications of zinc-ion batteries(ZIBs). Herein, a strategy that engineers the interfacial double layer by an extremely low concentration of sulfolane is proposed to tune the Zn stripping/plating behavior. It is revealed that the highly-polar sulfolane can predominately occupy the inner Helmholtz layer over water, and then regulate the upcoming Zn~(2+) to directly deposit downward. Simultaneously, the widened Helmholtz layer can weaken the electric field intensity, which will generate more nucleation sites and reduce the nuclei radius, thereby promoting uniform zinc deposition as well. Moreover, corrosion byproducts can be inhibited since fewer water molecules can contact the Zn electrodes. Consequently, the battery performance can be naturally optimized. With an optimum amount of sulfolane, the Zn||Zn battery can operate for more than 1,100 h under 1 mA cm~(-2) and 1 mAh cm~(-2). And the as-constructed Zn||NaV_3O_8·1.5H_2O battery demonstrates considerably higher cycling stability than that without sulfolane. Overall, this work has provided a deep insight into constructing a functional interfacial double layer to regulate zinc deposition, which can also act as a reference for other metal-based batteries.
Assessing the morphology and ovarian reserve of the ovaries from Mayer-Rokitansky-Kuster-Hauser syndrome patients

Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome is a rare congenital disease characterized by the hypoplastic uterus and vagina in women with a normal female karyotype (46,XX) and phenotype.Although some genes and mutations,such as WNT4,have been reported in a small portion of MRKH syndrome patients (Biason-Lauber et al.,2004;Kyei Barffour and Kyei Baah Kwarkoh,2021;Mikhael et al.,2021),the exact pathogenesis of MRKH syndrome remains largely unknown (Herlin et al.,2020).The prevailing opinion considers that the abnormal embryonic development of the Mullerian duct leads to the disease.While the ovarian function of these patients is believed to be normal (Henes et al.,2018;Herlin et al.,2020;Ozekinci et al.,2015),controversial results exist (Erman Akar et al.,2015;Friedler et al.,2016;Oppelt et al.,2017).Few data about their ovarian reserve were published,and no study on the morphology and histology of their ovaries has been reported.The present study describes the gross and histological characteristics of patients' ovaries and assesses their ovarian reserve directly by calculating the density of primordial follicles based on ovarian biopsies.
Fixed-time distributed robust optimization for economic dispatch with event-triggered intermittent control

This paper proposes a fixed-time distributed robust optimization approach for solving economic dispatch problems.Based on an integral sliding mode control scheme,the proposed multi-agent system converges to an optimal solution to an economic dispatch problem before a fixed time.In addition,the proposed multi-agent system can suppress the disturbance in a fixed time.To reduce the cost of sliding mode controls,we propose a distributed event-triggered intermittent control which reduces the sliding mode control time by setting a control triggering rule on the basis of two boundary functions of a Lyapunov function.The simulation results of three power systems illustrate the characteristics and effectiveness of the theoretical results.
PVDF/PLA electrospun fiber membrane impregnated with metal nanoparticles for emulsion separation,surface antimicrobial,and antifouling activities

Although many superwetting materials have been designed for the treatment of oil-containing wastewater,separation strategies for oil-in-water systems containing bacteria have rarely been reported.Herein,poly(vinylidene difluoride)-and poly(lactic acid)-blended fibrous membranes loaded with silver and copper oxide nanoparticles were successfully prepared by a two-step method of electrostatic spinning and liquid-phase synthesis.The product membrane showed excellent super-oleophilic properties in air and hydrophobicity under oil.It could separate water-in-oil emulsion systems containing surfactants with an efficiency above 90%.More importantly,the nanoparticle-loaded fibers were characterized by material degradability and slowly released ions.The fibers exhibited excellent antibacterial activities against both gram-positive and-negative bacteria.This work provides a feasible strategy for water-in-oil emulsion separation and bacterial treatment of wastewater.
Oxidating liquid metal interface integrated capacitive pressure detection

The characteristics of real-time monitoring and flexible integration based on passive capacitive detection are becoming the preferred sensing strategy for wearable devices.However,the currently designed capacitive sensors mostly focused on the bionic microstructures to improve sensitivity and measurement accuracy,while ignoring the inherent mechanical wear and resistance of multilayer structures.In this paper,an integrated monolithic capacitive pressure detection based on room temperature liquid metal is designed and fabricated,avoiding the tightness problem of the multi-layer structure.The oxidized paste-like liquid metal owning superior interfacial wetting properties can stably adhere to the surface of the porous framework.The gas-filled porous framework endows the capacitive sensor with a mechanical response of 0.0557 g with a response and recovery time of 1.26 and 0.63 s under a load condition of 150 Pa,and steadily maintained in 1600 cycle tests.Finally,the capacitive sensor is employed to detect human physiological signals and force shock responses,which could clearly distinguish different action signals,providing a new platform for the subsequent development and design of integrated capacitive sensors.
A review of membrane distillation enhancement via thermal management and molecular transport through nanomaterial-based membranes

Low-energy,high-efficiency desalination techniques are important because of the critical water-energy nexus.In particular,membrane distillation has great potential to harness low-grade and renewable energy sources.Composite membranes using micro-and nanomaterials have new capabilities and characteristics.This review focuses on the most recent developments and potential capabilities in membrane distillation systems from the perspective of nanomaterial enhancements,thermal management,and water transport.Self-heating nanomaterial membrane distillations using permeable composite membranes with significant photothermal or Joule-heating conversion capabilities enable macroscale thermal management and mitigate temperature polarization effects.Modifying the membrane structure and its interaction with water can accelerate water transport and evaporation,improving distillation at the microscopic level.This is expected to provide directions for the fabrication and manipulation of novel micro-and nanocomposite membranes for distillation processes at various levels,and enhance their applications.
Vibration reduction technology and the mechanisms of surrounding rock damage from blasting in neighborhood tunnels with small clearance

Interlaid rock is an important component in the construction of neighborhood tunnels that supports and reinforces the area between two tunnels. However, the blasting load during excavation can sometimes damage the interlaid rock and threaten the stability of a tunnel’s structure. This paper presents a case study of the small clearance section of the Liantang highway tunnel project in Shenzhen, China, where the minimum distance between the two tunnels involved is only 0.5 m. To reduce the damage to the interlaid rock caused by blasting loads, we proposed a four-part excavation method with a vibrationcushioning rock layer in the following tunnel of neighborhood tunnels. Numerical simulation was used to model the damage prevention mechanism of the vibration-cushioning rock layer and to better understand the propagation of cracks in the interlaid rock. Furthermore, based on the simulation results, combined microseismic controlled-blasting technology was implemented, using innovative blasting patterns combined with different charge structures and blasting equipment designed according to the varying thickness of the interlaid rock. Finally, this implementation succeeded in protecting interlaid rock during blasting operations.
Preparation and atmospheric wet-reflow of indium microbump for low-temperature flip-chip applications

An urgent demand for lowering bonding temperature has been put forward by advanced flip-chip integration such as micro-LED packaging and heterogeneous integration of semiconductor devices.Indium microbump with low-melting point has attracted attention for its potential use as the interconnection intermediate,and the development of its fabrication process is therefore of great attraction.To reveal the critical process factors for successfully fabricating a high-density In microbump array,this paper investigated a simple process flow of In patterning and reflow and detailed the flux-assisted wet reflow process.Critical process conditions,including the patterned In volume,alignment accuracy,reflow reagent liquidity,and temperature profile,were described,with a particular emphasis on the role of surface tension of molten indium film during the formation of spherical microbumps.A high-density indium ball array with an overall yield greater than 99.7% can be obtained,which suggests that the In patterning and wet-reflow processes are robust and that a high-quality microbump array could be readily formed with low equipment requirements.Furthermore,the interfacial reaction characteristics between In microbump and Au adhesion layer were investigated under thermal aging conditions,which revealed lateral intermetallic growth of AuIn_2 compound and well-retained interfacial strength even after prolonged aging.
Glacial expansion of cold-tolerant species in low latitudes: megafossil evidence and species distribution modelling

The Pleistocene was a time of repeated glaciations that severely affected the land biota over large areas of Eurasia and North America. Drastic climatic fluctuations during the Pleistocene drove largescale extinctions, migrations and diversification in plant and animal populations. These dramatic processes had a strong impact on the distribution of modern flora and fauna.
Magnetic resonance imaging mimicking pathology detects myocardial fibrosis: a door to hope for improving the whole course management

Myocardial fibrosis, characterized by the excessive deposition of extracellular matrix proteins, is an important underlying mechanism for adverse outcomes in many cardiovascular diseases[1]. Multiple modalities have been developed to identify and quantify myocardial fibrosis non-invasively. Cardiac magnetic resonance(CMR) imaging provides the gold standard for the assessment of cardiac structure and function. Furthermore, it is a robust noninvasive imaging modality that allows in vivo tissue characterization with accurate histological corroboration. It becomes the most striking imaging modality to evaluate myocardial fibrosis for its ability to provide the currently highest spatial resolution with excellent sensitivity and reproducibility[2].
Speed Regulation Method Using Genetic Algorithm for Dual Three-phase Permanent Magnet Synchronous Motors

Dual three-phase Permanent Magnet Synchronous Motor (DTP-PMSM) is a nonlinear, strongly coupled, high-order multivariable system. In today's application scenarios, it is difficult for traditional PI controllers to meet the requirements of fast response, high accuracy and good robustness. In order to improve the performance of DTP-PMSM speed regulation system, a control strategy of PI controller based on genetic algorithm is proposed. Firstly, the basic mathematical model of DTP-PMSM is established, and the PI parameters of DTP-PMSM speed regulation system are optimized by genetic algorithm, and the modeling and simulation experiments of DTP-PMSM control system are carried out by MATLAB/SIMULINK. The simulation results show that, compared with the traditional PI control, the proposed algorithm significantly improves the performance of the control system, and the speed output overshoot of the GA-PI speed control system is smaller. The anti-interference ability is stronger, and the torque and double three-phase current output fluctuations are smaller.
Association between high deductible health plan coverage and age at pediatric umbilical hernia repair

Background High deductible health plans (HDHPs) are associated with the avoidance of both necessary and unnecessary healthcare. Umbilical hernia repair (UHR) is a procedure that is frequently unnecessarily performed in young children, contrary to best practice guidelines. We hypothesized that children with HDHPs, as compared with other types of commercial health plans, are less likely to undergo UHR before 4 years of age but are also more likely to have UHR delayed beyond 5 years of age. Methods Children aged 0-18 years old residing in metropolitan statistical areas (MSAs) who underwent UHR in 2012-2019 were identified in the IBM Marketscan Commercial Claims and Encounters Database. A quasi-experimental study design using MSA/year-level HDHP prevalence among children as an instrumental variable was employed to account for selection bias in HDHP enrollment. Two-stage least squares regression modeling was used to evaluate the association between HDHP coverage and age at UHR. Results A total of 8601 children were included (median age 5 years, IQR 3-7). Univariable analysis revealed no differences between the HDHP and non-HDHP groups in the likelihood of UHR being performed before 4 years of age (27.7% vs 28.7%, p=0.37) or after 5 years of age (39.8% vs 38.9%, p=0.52). Geographical region, metropolitan area size, and year were associated with HDHP enrollment. Instrumental variable analysis demonstrated no association between HDHP coverage and undergoing UHR at <4 years of age (p=0.76) or >5 years of age (p=0.87). Conclusions HDHP coverage is not associated with age at pediatric UHR. Future studies should investigate other means by which UHRs in young children can be avoided.
Practical Implementation and Operational Experience of Dynamic Mode Decomposition in Wide-area Monitoring Systems of Italian Power System

This study presents the assumptions and strategies for the practical implementation of the dynamic mode decomposition approach in the wide-area monitoring system of the Italian transmission system operator, Terna. The procedure setup aims to detect poorly damped interarea oscillations of power systems. Dynamic mode decomposition is a data-driven technique that has gained increasing attention in different fields; the proposed implementation can both characterize the oscillatory modes and identify the most influenced areas. This study presents the results of its practical implementation and operational experience in power system monitoring. It focuses on the main characteristics and solutions identified to reliably monitor the interarea electromechanical modes of the interconnected European power system. Moreover, conditions to issue an appropriate alarm in case of critical operating conditions are described. The effectiveness of the proposed approach is validated by its application in three case studies: a critical oscillatory event and a short-circuit event that occurred in the Italian power system in the previous years, and a 15-min time interval of normal grid operation recorded in March 2021.
Single-ended Fault Detection Scheme Using Support Vector Machine for Multi-terminal Direct Current Systems Based on Modular Multilevel Converter

This paper proposes a single-ended fault detection scheme for long transmission lines using support vector machine (SVM) for multi-terminal direct current systems based on modular multilevel converter (MMC-MTDC). The scheme overcomes existing detection difficulties in the protection of long transmission lines resulting from high grounding resistance and attenuation, and also avoids the sophisticated process of threshold value selection. The high-frequency components in the measured voltage extracted by a wavelet transform and the amplitude of the zero-mode set of the positive-sequence voltage are the inputs to a trained SVM. The output of the SVM determines the fault type. A model of a four-terminal DC power grid with overhead transmission lines is built in PSCAD/EMTDC. Simulation results of EMTDC confirm that the proposed scheme achieves 100% accuracy in detecting short-circuit faults with high resistance on long transmission lines. The proposed scheme eliminates mal-operation of DC circuit breakers when faced with power order changes or AC-side faults. Its robustness and time delay are also assessed and shown to have no perceptible effect on the speed and accuracy of the detection scheme, thus ensuring its reliability and stability.
Alkaline phosphatase as a bio-indicator of phosphorus-eutrophy in freshwater ecosystems: A review

Limnologists have greatly advanced the understanding of indicators of phosphorus (P)-eutrophy in surface waters. Biotic variables such as macro-invertebrates, fish, zooplankton, benthic algae, and diatoms are extensively used for bio-assessment of eutrophy. New concepts highlight the importance of bed-sediment based “response” variables predicting functional shifts during eutrophication. A cross analysis of studies reveals that alkaline phosphatase (ALP), which serves as a proxy of P-deficiency, and also as an indicator of benthic anoxia/hypoxia-driven feedbacks, can be an easy to measure, cost-effective and reliable tool to assess changes in nutrient stoichiometry, trophic status, and ecological functioning at the sediment-water interface. Here, the issues discussed in this paper are highly relevant to explore new domains of research and “response” based ecosystem models for potential eutrophication management decisions. Because ALP is used in molecular cloning and fingerprinting studies, it is suggested that approaches based on the “omics” technologies need to be used to explore more intricate connections to empirically address ALP-P-eutrophy linkages to track eutrophication in freshwater ecosystems.