Miracle-dz/UniFAR-FTUs huggingface dataset:
Alumina‐Protected, Durable and Photostable Zinc Sulfide Particles from Scalable Atomic Layer Deposition

Zinc sulfide has unique and easily modifiable photophysical properties and is a promising candidate for photocatalysis and optoelectronic devices. However, ZnS suffers from corrosive decomposition during excitation processes like UV irradiation, which drastically limits its field of potential applications. For the first time, complete photostabilization of individual ZnS particles by a dense, durable, and only 3‐nm‐thick Al2O3 layer, produced by rotary atomic layer deposition (ALD) is reported. In contrast to bare ZnS, the coated particles do not suffer from photocorrosive degradation even under long‐term or high power UV irradiation. The presence of a protection layer covering the entire ZnS surface is additionally confirmed by microscopic and spectroscopic investigations of particle cross‐sections. Further, complete inhibition of the reaction between Ag+ ions added as the analyte and the ZnS surface is observed. Durability tests of the as‐prepared Al2O3 layer upon prolonged exposure to water reveal a significant decrease in the protection capability of the layer, which is ascribed to the hydrolysis of the amorphous Al2O3. A calcination step at 1000 °C after the ALD treatment, which leads to crystallization of the amorphous Al2O3 layer, successfully suppresses this hydrolysis and produces an insulating, dense, and inert protection layer.
Does the ECB policy of quantitative easing impact environmental policy objectives?

ABSTRACT The relationship between the environment and climate change on one hand and the financial system, financial regulation and monetary policy on the other is growing in importance. This paper examines the possible impact of the European Central Bank’s monetary policy of quantitative easing on the environmental policy of the European Union. Using data from Climate Bonds Initiative, the paper analyses the variation in the amount of “green labelled bonds” issued in the individual member countries of the Eurozone areas, as a function of liquidity inducing monetary policy variables. The paper finds a positive and significant relationship between the two measures.
Multiscale Shear Impacts during the Genesis of Hagupit (2008)

The impact of vertical wind shear (VWS) on tropical cyclogenesis is examined from the synoptic to mesoscales using airborne Doppler radar observations of predepression Hagupit during the Tropical Cyclone Structure 2008 (TCS08)/THORPEX Pacific Area Regional Campaign (T-PARC) field campaigns. The high temporal and spatial resolution observations reveal complex localized convective and vortical characteristics of a predepression in a sheared environment. Predepression Hagupit interacted with an upper-tropospheric trough during the observation period. The strong deep-layer VWS (>20 m s−1) had a negative impact on the development through misalignment of the low- and midlevel circulations and dry air intrusion. However, the low-level circulation persisted, and the system ultimately formed into a tropical cyclone after it left the high-shear zone. Here we propose that a key process that enabled the predepression to survive through the upper-tropospheric trough interaction was persistent vorticity amplification on the meso-γ scale that was aggregated on the meso-α scale within the wave pouch. Multi-Doppler wind analysis indicates that cumulus congestus tilted the low-level horizontal vorticity into the vertical in the early stage of convective life cycle, followed by stretching from maturing deep convection. Variations in low-level VWS on the meso-β scale affect convective organization and horizontal vorticity generation. The results provide new insights into multiscale processes during TC genesis and the interactions of a predepression with VWS at various spatial scales.
Southern Ocean polynyas in CMIP6 models

Abstract. Polynyas facilitate air-sea fluxes, impacting climate-relevant properties such as sea ice formation and deep water production. Despite their importance, polynyas have been poorly represented in past generations of climate models. Here we present a method to track the presence, frequency and spatial distribution of polynyas in the Southern Ocean in 27 models participating in the Climate Model Intercomparison Project phase 6 (CMIP6) and two satellite based sea ice products. Only half of the 27 models form open water polynyas (OWP), and most underestimate their area. As in satellite observations, three models show episodes of high OWP activity separated by decades of no OWPs, while other models unrealistically create OWPs nearly every year. The coastal polynya area in contrast is often overestimated, with the least accurate representations occurring in the models with the coarsest horizontal resolution. We show that the presence or absence of OWPs are linked to changes in the regional hydrography, specifically the linkages between polynya activity with deep water convection and/or the shoaling of the upper water column thermocline. Models with an accurate Antarctic Circumpolar Current (ACC) transport and wind stress curl have too frequent OWPs. Biases in polynya representation continue to exist in climate models, which has an impact on the regional ocean circulation and ventilation that require to be addressed. However, emerging iceberg discharge schemes, vertical discretisation or overflow parameterisation, are anticipated to improve polynya representations and associated climate prediction in the future.
An evaluation of deep learning approaches for detection of voice disorders.

The human voice manufacturing system is a complicated natural device capable of modulating pitch and loudness Human sound frequency particularly. The part in which the folded is the primary source underlying internal and/or external factors often destroys vocal folds justification. Some changes consequences are reflected in functioning emotional state soul. Therefore it essential to identify variations at an early stage gives the patient an endangerment overcome any impact modernize their quality of life will-less detection disorders using depth study methods plays an important role as has been proven to facilitate the process. Many researchers have explored technologies for streamlined that can help clinics diagnose noise paper we present the conducted research activities.
Antimicrobial supplementation alters digestibility and ruminal fermentation in a continuous culture model

ABSTRACT A dual-flow continuous culture system was used to evaluate the effects of laidlomycin propionate and bacitracin zinc on fermentation, nutrient digestibility, and microbial efficiency. Factors were laidlomycin propionate (LP; 2 mg/L of culture volume) and bacitracin zinc (BAC; 1.4 mg/L), and treatments were as follows: (1) no BAC or LP (CON), (2) LP without BAC (LP), (3) BAC without LP (BAC), and (4) LP and BAC (LP/BAC). A fifth treatment was supplemented with monensin sodium (MON; 6 mg/L) to act as a positive control. Both LP and LP/BAC had significantly greater pH than MON (P < 0.05). Antibiotic treatment did not affect NH 3-N concentration (P = 0.62), but did influence total VFA production (P = 0.02). Monensin fermenters had a greater proportion of total VFA than did LP fermenters (P < 0.05), and improved VFA production by 7.2% compared to CON. Laidlomycin suppressed the production of both acetate (P < 0.01) and butyrate (P = 0.05), and acetate was further reduced when LP was fed in combination with BAC (P = 0.01). Laidlomycin numerically reduced the acetate:propionate ratio (P = 0.12). These results suggest that bacitracin may produce ionophore-like effects on pH and VFA production in vitro.
Evolution of Microstructural Properties in Sheared Iron‐Rich Olivine

Iron‐rich olivine is mechanically weaker than olivine of mantle composition, ca. Fo90, and thus is more amenable to study under a wide range of laboratory conditions. To investigate the effects of iron content on deformation‐produced crystallographic preferred orientation (CPO) and grain size, we analyzed the microstructures of olivine samples with compositions of Fo70, Fo50, and Fo0 that were deformed in torsion under either anhydrous or hydrous conditions at 300 MPa. Electron backscatter diffraction (EBSD) observations reveal a transition in CPO from D‐type fabric, induced by dislocation glide on both the (010)[100] and the (001)[100] slip systems, at low strains, to A‐type fabric, caused by dislocation glide on the (010)[100] slip system, at high strains for all of our samples, independent of iron content and hydrous/anhydrous conditions. A similar evolution of fabric with increasing strain is also reported to occur for Fo90. Radial seismic anisotropy increases with increasing strain, reaching a maximum value of ∼1.15 at a shear strain of ∼3.5 for each sample, demonstrating that the seismic anisotropy of naturally deformed olivine‐rich rocks can be well approximated by that of iron‐rich olivine. Based on EBSD observations, we derived a piezometer for which recrystallized grain size decreases inversely with stress to the ∼1.2 power. Also, recrystallized grain size increases with increasing iron content. Our experimental results contribute to understanding the microstructural evolution in the mantle of not only Earth but also Mars, where the iron content in olivine is higher.
Analysis of training of deep neural networks with heterogeneous architecture while detecting malicious network traffic

The given article presents the study of the training process of a composite heterogeneous neural network with deep architecture. A brief description of the architecture of the analyzed neural network system has been given. The key nodes of computational load distribution on each of the layers of the neural network have been tracked. The monitoring results have been analyzed and the following conclusions have been made: the most resource-intensive part of the system during training is the LSTM network. The results of the study of structural features of the neural network hidden layers have been presented. Graphs have been constructed and there has been carried out the study of a statistical distribution of weights on each unique layer of the architecture: on a fully connected layer, on the first hidden layer of the subnet-encoder, on the second hidden layer of the subnet-encoder, on the first and second fully connected output layers of the neural network. Based on the research results, a qualitative assessment of the effectiveness and accuracy of the entire neural network system has been given.
Corynebacterium phoceense – a rare Corynebacterium species isolated from a urine sample

Corynebacterium spp. are Gram-positive rods that are recognized to cause opportunistic diseases under certain predisposing clinical conditions. Some species have been described in urinary tract infections. In this report we document a new episode of urinary tract infection caused by Corynebacterium phoceense and describe the whole-genome sequencing, phenotypic characteristics and mass spectra obtained by matrix-assisted desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Based on genome identification and DNA-to-DNA hybridization, we can assume that our strain is the second isolate of C. phoceense to be described in a urine sample. No other infectious diseases have been reported to be associated with this species.
Novel Use of Green Hydrogen Fuel Cell-Based Combined Heat and Power Systems to Reduce Primary Energy Intake and Greenhouse Emissions in the Building Sector

Achieving European climate neutrality by 2050 requires further efforts not only from the industry and society, but also from policymakers. The use of high-efficiency cogeneration facilities will help to reduce both primary energy consumption and CO2 emissions because of the increase in overall efficiency. Fuel cell-based cogeneration technologies are relevant solutions to these points for small- and microscale units. In this research, an innovative and new fuel cell-based cogeneration plant is studied, and its performance is compared with other cogeneration technologies to evaluate the potential reduction degree in energy consumption and CO2 emissions. Four energy consumption profile datasets have been generated from real consumption data of different dwellings located in the Mediterranean coast of Spain to perform numerical simulations in different energy scenarios according to the fuel used in the cogeneration. Results show that the fuel cell-based cogeneration systems reduce primary energy consumption and CO2 emissions in buildings, to a degree that depends on the heat-to-power ratio of the consumer. Primary energy consumption varies from 40% to 90% of the original primary energy consumption, when hydrogen is produced from natural gas reforming process, and from 5% to 40% of the original primary energy consumption if the cogeneration is fueled with hydrogen obtained from renewable energy sources. Similar reduction degrees are achieved in CO2 emissions.
Soil Bacterial and Fungal Richness and Network Exhibit Different Responses to Long-Term Throughfall Reduction in a Warm-Temperate Oak Forest

Prolonged drought results in serious ecological consequences in forest ecosystems, particularly for soil microbial communities. However, much is unknown about soil microbial communities in their response to long-term consecutive droughts in warm-temperate forests. Here, we conducted a 7-year manipulated throughfall reduction experiment (TFR) to examine the responses of bacterial and fungal communities in terms of richness and networks. Our results show that long-term TFR reduced bacterial, but not fungal, richness, with rare bacterial taxa being more sensitive to TFR than dominant taxa. The bacterial network under the TFR treatment featured a simpler network structure and fewer competitive links compared to the control, implying weakened interactions among bacterial species. Bacterial genes involved in xenobiotic biodegradation and metabolism, and lignin-degrading enzymes were enhanced under TFR treatment, which may be attributed to TFR-induced increases in fine root biomass and turnover. Our results indicate that soil bacterial communities are more responsive than fungi to long-term TFR in a warm-temperate oak forest, leading to potential consequences such as the degradation of recalcitrant organics in soil.
Ferroelectric field effect transistors: Progress and perspective

Ferroelectric field effect transistors (FeFETs) have attracted attention as next-generation devices as they can serve as a synaptic device for neuromorphic implementation and a one-transistor (1T) for achieving high integration. Since the discovery of hafnium–zirconium oxide (HZO) with high ferroelectricity (even at a thickness of several nanometers) that can be fabricated by a complementary metal–oxide–semiconductor-compatible process, FeFETs have emerged as devices with great potential. In this article, the basic principles of the FeFET and the design strategies for state-of-the-art FeFETs will be discussed. FeFETs using Pb(ZrxTi1−x)O3, polyvinylidene fluoride, HZO, and two-dimensional materials are emphasized. FeFETs, ferroelectric semiconductor field effect transistors, and metal–ferroelectric–insulator–semiconductor structures to which those materials can be applied are introduced, and their exotic performances are investigated. Finally, the limitations of these devices’ current performance and the potential of these materials are presented.
The Impact of Supply Voltage Waveform Distortion on Non-Intentional Emission in the Frequency Range 2–150 kHz: An Experimental Study with Power-Line Communication and Selected End-User Equipment

Knowledge of the conducted emissions in the frequency range 2–150 kHz contains some gaps related to the impact of the harmonics in the supply voltage on the nature of these emissions. It can be noticed that the conducted emissions from non-sinusoidal power supplies have not been studied sufficiently, and that the impact of this distortion may be greater than the generally known results of emission tests carried out under standardized test conditions. This paper is aimed at investigating experimental cases of the influence of supply voltage waveform distortion on non-intentional emission in the range 2–150 kHz and the efficiency of power line communication based on selected PRIME (PoweRline Intelligent Metering Evolution) power line communication (PLC) technology. A series of experimental laboratory studies were investigated, representing the operation of the investigated PLC system with different types of end-user equipment (LED—Light Emitting Diode, CFL—Compact Fluorescent Lamp, induction motor with frequency converter) working under a distorted supply voltage condition obtained by the programmable power supply for different scenarios of the admissible harmonics contribution in the range 0–2 kHz. The scenarios included limits defined in standards EN 50160 and IEC 61000-4-13. The researchers used spectral analysis with a notation to emission limits, compatibility levels, and mains signalling, as well as statistics of the PLC communication. The obtained results provide important conclusions, which may be applied both in the development of the design of the appliances in question and the higher frequency emission testing methods.
The Effects of Feedback and Goal on the Quality of Crowdsourcing Tasks

ABSTRACT Managing work quality has been an important issue for designing crowdsourcing tasks. Previous studies have proposed a number of ways to improve work quality, such as providing financial incentives, filtering random clickers, or designing workflow patterns. However, the potential benefit of having communication between the task owner and workers has been under-explored. This paper examined the effects of feedback and goal-setting messages on output quality in a crowdsourcing environment. The results revealed that negative and evaluative feedback and distal+proximal and achievement goal-setting messages improved output quality in shortening the volume, time, and cost to complete. The amount of monetary reward was found to have little to mixed influence over work quality, which meant more money did not lead to the higher work quality. Instead, the size of the reward must be paired with the appropriate type of messages for overall quality improvement.
Comparison of the Contents of Quercitin in Various Medicinal Parts of Pyracantha fortuneana

Objective:To established an RP-HPLC method for determination of quercetin in Pyracantha fortuneana and to compare quercetin contents in different medicinal parts.Method: 90%methanol-25% hydrochloride aqeous solution(4∶1) was used to extract quercetin and Hypersil ODS(4.6 mm×250 mm,5 μm) column was used to analyze quercetin content with methanol-0.1% phosphoric acid aqueous solution as mobile phases.Flow rate was 1.0 mL·min-1.Detection wavelength was set at 360 nm.Result: The standard curve of quercetin was linear in the range of 0.048 5-1.552 0 μg. The average recovery of quercetin was 98.44%. Conclusion: Quercetin contents in different medicinal parts of P.fortuneana was different.
Aluminium metal matrix composites and effect of reinforcements – A Review

A composite is a fusion of two or more different material chemically and unsolvable phases; its properties and structural concert are greater the ingredients performing homogeneous phases. ceramics and Metals, as well, can be implanted with particles, to advances their property; these mixtures are known as MMCs. Aluminum alloy compose a significant engineering material generally engaged in the aerospace industries for the production of dissimilar parts and equipments. It is due to its more strength to density fraction that it a sought after MMCs. A variety of processing technique and mechanical properties testing’s available for manufacturing the Aluminium matrix composites. The mutual reinforcement’s effect on Aluminium Metal Matrix composites with individual and multiple particulate reinforcements like Hybrid Metal matrix composites are finding better applications in aerospace industries, automobile industries, underwater, and transportation. In the current situation, a bunch of research activities were on pipe line. This review particularly directs the engineers and researchers towards right reinforcement materials selection especially hybrid composites by their properties in the appropriate field and diverse technique involved in production of metal matrix composites.
Achievement of High Voc of 1.02 V for P3HT‐Based Organic Solar Cell Using a Benzotriazole‐Containing Non‐Fullerene Acceptor

B. Xiao, Dr. A. Tang, Dr. J. Zhang, A. Mahmood, Prof. Z. Wei, Prof. E. Zhou CAS Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing 100190, P. R. China E-mail: zhouej@nanoctr.cn B. Xiao University of Chinese Academy of Sciences Beijing 100049, P. R. China Prof. E. Zhou Yangtze River Delta Academy of Nanotechnology and Industry Development Research Jiaxing City, Zhejiang Province, 314000, P. R. China
Advances in Reconfigurable Vectorial Thrusters for Adaptive Underwater Robots

Manoeuvrability is one of the essential keys in the development of improved autonomous underwater vehicles for challenging missions. In the last years, more researches were dedicated to the development of new hulls shapes and thrusters to assure more manoeuvrability. The present review explores various enabling technologies used to implement the vectorial thrusters (VT), based on water-jet or propellers. The proposals are analysed in terms of added degrees of freedom, mechanisms, number of necessary actuators, water-tightness, electromagnetomechanical complexity, feasibility, etc. The usage of magnetic coupling thrusters (conventional or reconfigurable) is analysed in details since they can assure the development of competitive full waterproof reconfigurable thrusters, which is a frictionless, flexible, safe, and low-maintenance solution. The current limitations (as for instance the use of non conductive hull) are discussed and ideas are proposed for the improvement of this new generation of underwater thrusters, as extending the magnetic coupling usage to obtain a fully contactless vector thrust transmission.
Optimization for Hot-film Anti-icing Structure by BPNN and GA

A coupled method combining the Back Propagation Neural Network (BPNN) and Genetic Algorithm (GA) was developed to optimize a 2D design of aero-engine inlet anti-icing structure, which has a cover on the film heating ejection slot. The optimal goal is to maximize the heating effectiveness which was used to assess the performance of hot-air film. The film-heating ejection angle and the cover opening angle were selected as the design variables to be optimized. The training and testing samples employed in BPNN were obtained by numerical simulation, after which the objective function of GA was predicted. With a given flow rate of bled air, the optimal values of the two design variables were achieved as 22.6° and 15.1°, respectively. Compared to the previous optimal result of other researchers, the heating performance was improved by 16.7% with rapid progress. The result of this study illustrates that this hybrid optimal method can meet the accuracy requirements with high time-efficiency for optimization problems in aeronautics engineering.