Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Active Channel Layer Thickness on SnO2 Thin-Film Transistor Performance

Sol-gel processed SnO2 thin-film transistors (TFTs) were fabricated on SiO2/p+ Si substrates. The SnO2 active channel layer was deposited by the sol-gel spin coating method. Precursor concentration influenced the film thickness and surface roughness. As the concentration of the precursor was increased, the deposited films were thicker and smoother. The device performance was influenced by the thickness and roughness of the SnO2 active channel layer. Decreased precursor concentration resulted in a fabricated device with lower field-effect mobility, larger subthreshold swing (SS), and increased threshold voltage (Vth), originating from the lower free carrier concentration and increase in trap sites. The fabricated SnO2 TFTs, with an optimized 0.030 M precursor, had a field-effect mobility of 9.38 cm2/Vs, an SS of 1.99, an Ion/Ioff value of ~4.0 × 107, and showed enhancement mode operation and positive Vth, equal to 9.83 V.
Characterization of a Block Copolymer with a Wide Distribution of Grain Sizes

Block copolymer/lithium salt mixtures are an emerging class of lithium battery electrolytes. Previous studies have shown that the ionic conductivity of these materials is a sensitive function of grain size. Both depolarized light scattering (DPLS) and small-angle X-ray scattering (SAXS) have proven to be effective techniques for elucidating the grain structure of block copolymer (BCP) materials. DPLS is particularly useful for the characterization of samples with grain sizes larger than 1 μm, whereas SAXS is particularly well suited for samples with grain sizes smaller than 0.1 μm. We present the results of both DPLS and SAXS measurements of grain structure in a BCP/lithium salt mixture that was annealed after being initially prepared by freeze-drying from solution. The combination of the two techniques demonstrates that our sample is characterized by an extremely wide distribution of grain sizes. In particular, the sample has a large population of small sub-micrometer-sized grains that cannot be detected.
Enhancing Physical Properties of Viscose by Preparing Viscose/Keratin/Nano ZnO Composite Fabric

ABSTRACT The emulsion of Keratin nano ZnO was prepared by extracting the keratin from wool. Cellulose viscose fabric was treated by plasma and immersed in solution and by special chemical method the fabric was finished with keratin/ZnO. The obtained cellulose composite morphology was studied by FESEM. The peaks shown by FTIR proved the presence of functional groups (amide, polypeptide, O-H and C-H). The result has proven the presence and good distribution of keratin and nano zinc oxide. The treated samples showed very low transmission of UV irradiation indicating good UV blocking. Physical properties of treated samples show that keratin gives the water absorption property to viscose. Abrasion resistance of samples indicates that treated samples have better resistance due to its excellent mechanical properties of keratin/ZnO. The strength of samples shows that keratin has good effect on increasing the strength property of viscose.
Electrical and photoelectrical properties of vacuum deposited Se-Te-Pb thin films

The d. c. electrical properties of amorphous thin films of Se 85 Te 15 - x Pb x , prepared by vacuum deposition technique, have been studied at low and at relatively high temperatures. The dark conductivity studies show that the conductivity increases with increasing temperature at all temperature range. Two types of conduction mechanisms were found to dominate in the measured temperature range, namely band conduction through extended states (which dominates at the intermediate-temperature region) and hopping around the Fermi level (which dominates at the low-temperature region). At low temperature, the density of states and other related Mott's parameters are calculated near the Fermi level. A discontinuity, found in the curve at high temperature may be explained due to structural changes that occur near glass transition temperature. Transient photoconductivity measurements at different temperatures and intensities indicate that the decay of photoconductivity is quite slow. Thin films exhibit long-lived residual photoconductivity, called persistent photoconductivity, with an extremely slow decay rate. The persistent photoconductivity increases with an increase in intensity. Photoconductivity decay, even after subtraction of persistent photoconductivity, is found to be non - exponential suggest the presence of continuously distributed deep localised gap states in this material. Differential lifetime and carrier lifetime are also calculated.
Fault Diagnosis of Analog Circuits Based on Wavelet Packet Energy Entropy and DBN

To solve the problem of low classification and recognition rate caused by small number of fault samples and inaccurate feature extraction in analog circuit fault diagnosis, a fault diagnosis algorithm for analog circuit system based on the combination of wavelet packet energy entropy and Deep Belief Network (DBN) is proposed. Firstly, the original output voltage signal of the circuit is decomposed by a multi-layer wavelet packet, then the feature vector is constructed in the form of energy entropy, and then the principal component analysis (PCA) is used for feature selection. The reduced dimension feature vector is taken as the input vector of DBN, and the fault diagnosis is completed after training and learning of the DBN network model. The experimental results show that compared with other algorithms, the proposed method can be more accurate and effective in diagnosing fault types in analog circuits, especially for Sallen-Key band-pass filter circuits, the fault recognition rate reaches 100%.
CBase-EC: Achieving Optimal Throughput-Storage Efficiency Trade-Off Using Erasure Codes

Many distributed database systems that guarantee high concurrency and scalability adopt read-write separation architecture. Simultaneously, these systems need to store massive amounts of data daily, requiring different mechanisms for storing and accessing data, such as hot and cold data access strategies. Unlike distributed storage systems, the distributed database splits a table into sub-tables or shards, and the request frequency of each sub-table is not the same within a specific time. Therefore, it is not only necessary to design hot-to-cold approaches to reduce storage overhead, but also cold-to-hot methods to ensure high concurrency of those systems. We present a new redundant strategy named CBase-EC, using erasure codes to trade the performances of transaction processing and storage efficiency for CBase database systems developed for financial scenarios of the Bank. Two algorithms are proposed: the hot-cold tablets (shards) recognition algorithm and the hot-cold dynamic conversion algorithm. Then we adopt two optimization approaches to improve CBase-EC performance. In the experiment, we compare CBase-EC with three-replicas in CBase. The experimental results show that although the transaction processing performance declined by no more than 6%, the storage efficiency increased by 18.4%.
Parametrizations of Liquid and Ice Clouds’ Optical Properties in Operational Numerical Weather Prediction Models

Parametrization of radiation transfer through clouds is an important factor in the ability of Numerical Weather Prediction models to correctly describe the weather evolution. Here we present a practical parameterization of both liquid droplets and ice optical properties in the longwave and shortwave radiation. An advanced spectral averaging method is used to calculate the extinction coefficient, single scattering albedo, forward scattered fraction and asymmetry factor (βext, ϖ, f, g), taking into account the nonlinear effects of light attenuation in the spectral averaging. An ensemble of particle size distributions was used for the ice optical properties calculations, which enables the effective size range to be extended up to 570 μm and thus be applicable for larger hydrometeor categories such as snow, graupel, and rain. The new parameterization was applied both in the COSMO limited-area model and in ICON global model and was evaluated by using the COSMO model to simulate stratiform ice and water clouds. Numerical weather prediction models usually determine the asymmetry factor as a function of effective size. For the first time in an operational numerical weather prediction (NWP) model, the asymmetry factor is parametrized as a function of aspect ratio. The method is generalized and is available on-line to be readily applied to any optical properties dataset and spectral intervals of a wide range of radiation transfer models and applications.
Effects of Pressurizing Cryogenic Treatments on Physical and Mechanical Properties of Shale Core Samples—An Experimental Study

The technique of cryogenic treatments requires injecting extremely cold fluids such as liquid nitrogen (LN2) into formations to create fractures in addition to connecting pre-existing fracture networks. This study investigated the effects of implementing and pressurizing cryogenic treatment on the physical (porosity and permeability) and mechanical properties (Young’s modulus, Poisson’s ratio, and bulk compressibility) of the Marcellus shale samples. Ten Marcellus core samples were inserted in a core holder and heated to 66 °C using an oven. Then, LN2 (−177 °C) was injected into the samples at approximately 0.14 MPa. Nitrogen was used to pressurize nine samples at injection pressures of 1.38, 2.76, and 4.14 MPa while the tenth core sample was not pressurized. Using a cryogenic pressure transducer and a T-type thermocouple, the pressure and temperature of the core holder were monitored and recorded during the test. The core samples were scanned using a computed tomography (CT) scanner, and their porosities, permeability, and ultrasonic velocities were measured both before and after conducting the cryogenic treatments. The analyses of CT scan results illustrated that conducting cryogenic treatments created new cracks inside all the samples. These cracks increased the pore volume, and as a result, the porosity, permeability, and bulk compressibility of the core samples increased. The creations of the new cracks also resulted in reductions in the compressional and shear velocities of the samples, and as a result, decreasing the Young’s modulus and Poisson’s ratio. Moreover, the results revealed that pressurizing the injected LN2 increased the alterations of aforementioned properties.
Study of synthesis parameters of MIL-53(Al) using experimental design methodology for CO2/CH4 separation

In this study hydrothermal method was used to synthesize MIL-53(Al) (MIL stands for Materials Institute of Lavoisier). Plackett–Burman (P–B) as an experimental design method was applied to investigate the effect of synthesis and activation conditions on specific surface area, relative crystallinity, and production yield of MIL-53(Al) synthesis. Some parameters such as ligand-to-metal molar ratio, synthesis time, synthesis temperature, calcination temperature, and calcination time were selected as the variables. The Brunauer–Emmett–Teller (BET) technique was used in order to estimate the specific surface area of samples while the relative crystallinity of the samples was estimated by comparing their X-Ray Diffraction (XRD) pattern. The morphology of the samples was investigated by field emission scanning electron microscopy. The yield of final products was determined based on organic ligands. The results revealed the significant effect of synthesis temperature on BET surface area, particle size, yield, and crystallinity. The calcination temperature has significant positive effect on BET and crystallinity. Also, the negative significant effect of molar ratio on yield was concluded from the results. However, negligible effect of synthesis and calcination time on the properties of prepared materials were observed. Furthermore, separation capability of a selected sample for carbon dioxide (CO2) and methane (CH4) was measured. Pure gas adsorption data were successfully fitted to Langmuir, Sips, and Toth models. The selected sample provided high adsorption capacity for both gases. The binary adsorption of gases was also investigated based on extended Langmuir equations and the ideal adsorbed solution theory (IAST) models. Comparing the experimental and models data indicated good agreement between the IAST model and experiments. Finally, high CO2/CH4 selectivity of 7.6 was obtained experimentally for the CO2/CH4 molar ratio of 0.2/0.8.
Crop Management with the IoT: An Interdisciplinary Survey

In this study, we analyze how crop management will benefit from the Internet of Things (IoT) by providing an overview of its architecture and components from agronomic and technological perspectives. The present analysis highlights that IoT is a mature enabling technology with articulated hardware and software components. Cheap networked devices can sense crop fields at a finer grain to give timeliness warnings on the presence of stress conditions and diseases to a wider range of farmers. Cloud computing allows reliable storage, access to heterogeneous data, and machine-learning techniques for developing and deploying farm services. From this study, it emerges that the Internet of Things will draw attention to sensor quality and placement protocols, while machine learning should be oriented to produce understandable knowledge, which is also useful to enhance cropping system simulation systems.
To Be Rated or To Be Indexed: Corporate Governance Rating Experience in Borsa Istanbul

We aim at answering whether it is more noteworthy for investors to attain or sustain corporate governance goals by examining how the market reacts towards announcements regarding corporate governance ratings (CGR) and corporate governance index (XCORP) including the firms listed in Borsa Istanbul within the sample period of 2007-2018 using a standard event study methodology. We found that, although both announcements produce relatively weak signals, joint announcements made upon XCORP inclusions along with first ever CGR (attainment) have more significance when compared to single announcements of subsequent CGR (sustainment) in the pre-event period. However, we also determined that the impact of subsequent CGR announcements in the post-event period was more profound. Our results revealed that the market anticipates XCORP inclusions whereas subsequent CGR are unexpected. Besides, the weak support for signaling hypothesis was considered to result from the obscuring effects of current legislation and market practices.
Analyzing the Carrier Mobility in Transition‐Metal Dichalcogenide MoS2 Field‐Effect Transistors

Transition‐metal dichalcogenides (TMDCs) are an important class of two‐dimensional (2D) layered materials for electronic and optoelectronic applications, due to their ultimate body thickness, sizable and tunable bandgap, and decent theoretical room‐temperature mobility. So far, however, all TMDCs show much lower mobility experimentally because of the collective effects by foreign impurities, which has become one of the most important limitations for their device applications. Here, taking MoS2 as an example, the key factors that bring down the mobility in TMDC transistors, including phonons, charged impurities, defects, and charge traps, are reviewed. A theoretical model that quantitatively captures the scaling of mobility with temperature, carrier density, and thickness is introduced. By fitting the available mobility data from literature over the past few years, one obtains the density of impurities and traps for a wide range of transistor structures. It shows that interface engineering can effectively reduce the impurities, leading to improved device performances. For few‐layer TMDCs, the lopsided carrier distribution is analytically modeled to elucidate the experimental increase of mobility with the number of layers. From our analysis, it is clear that the charge transport in TMDC samples is a very complex problem that must be handled carefully.
Detection, Screening and Molecular Characterization of Potential Actinobacterium from Lime-dwelling Powder for Extra Cellular Cellulase

Actinobacteria, conventionally known as actinomycetes are the most unique microorganisms revealing a link between bacteria and fungi. They are highly adaptable to extreme environmental condition and also exhibit a high diversity in metabolic activities. Biochemical, physiological and genetic features are mainly responsible for their higher adoptability to harsh conditions and extra cellular synthesis of wider secondary metabolites in general and enzymes and antibiotics in particular. The limestone quarry and lime powder dwellings are the harsh habitats prevailing in the northern region of Karnataka. These are the typical habitats left behind after the exploration of limestone and lime powder for highly commercial industrial activities such as production of cement and petroleum refining process respectively. In the present investigation, efforts were made to detect cellulolytic actinobacteria from lime powder dwellings. Actinobacteria confirmed by the basic colony characters, microscopic features, biochemical and physiological properties were screened for the potential cellulolytic activity. In all 54 isolates of actinobacteria were detected and screened to obtain three best cellulolytic actinobacteria, namely DSA22, DSA38 and DSA39. The maximum zone of hydrolysis on carboxymethylcellulose medium was an important criterion to screen the best cellulolytic isolates of actinobacteria. Further, the three best isolates of cellulolytic actinobacteria were screened for maximum production of extra cellular cellulase. The isolate DSA22 with higher enzyme activity (12 IU) was subjected to molecular characterization. Based on 16s rRNA analysis (BioEra Laboratory, Pune, Maharashtra) an isolate DSA 22 was identified as Streptomyces enissocaesiles.
Propagation Modeling Inside the International Space Station for the Automatic Monitoring of Astronauts by Means of Epidermal UHF-RFID Sensors

The monitoring of Astronaut’s health is one of the most impacting aspects of long-duration Space missions, especially for the high involvement required to the crew members in the daily acquisition of body parameters. Automatic procedures based on wireless systems would grant undeniable benefits, especially if lightweight and battery-less devices could be adopted. The possibility and the reliability of a communication link inside the International Space Station (ISS) is here investigated when the UHF-RFID epidermal technology is adopted. A Ray Tracing asymptotic method is hence proposed to evaluate the coverage area and the read probability inside the Harmony module. The analysis is referred to up to two astronauts simultaneously present in the module and to the presence of multiple reader antennas, in case purely passive epidermal tags are adopted. Simulations revealed that it is possible to identify some simple operating conditions that allow to obtain a reliable RFID link, also thanks to the advantageous propagation characteristics of the module itself.
Social Exclusion and Switching Behaviour of Green Products: The Mediating role of Control Demand

This study examined the impact of social exclusion and green product conversion behaviour. One study has conducted the result showed that consumers who experienced social exclusion showed more switching behaviour of green product than those who not feel excluded. This effect is mediated by the control demand, while the individual’s self-construction type plays a moderate role.
Crustal Deformation and Fault Strength of the Sulawesi Subduction Zone

This paper investigates the seismicity and rheology of the North‐Sulawesi subduction zone. Body‐wave modeling is used to estimate focal mechanisms and centroid depths of moderate magnitude (M5–M6.5) earthquakes on the North Sulawesi megathrust and surrounding region. The slip vectors of megathrust earthquakes radiate outward from Sulawesi, indicating motion that is incompatible with the relative motion of two rigid plates. Instead, the observed deformation implies lateral spreading of high topography, controlled by gravitational potential energy contrasts. This finding suggests that the observed deformation of Sulawesi results from stresses transmitted through the lithosphere, rather than basal tractions due to circulation in the mantle. Our modeling of the force balance on the megathrust shows that the subduction megathrust is weak, with an average shear stress of ∼13 MPa and an effective coefficient of friction of 0.03. Elsewhere in Sulawesi, slip vectors of other earthquakes suggest similar potential‐energy‐driven deformation is present, but at significantly slower rates. Our results show the importance of lateral rheology contrasts in determining deformation rate, and hence seismic hazard, in response to a given driving force.
Optimization and Representativeness of Atmospheric Chemical Sampling by Hovering Unmanned Aerial Vehicles Over Tropical Forests

Atmospheric chemical species play critical roles in ecosystem functioning and climate, but spatially resolving near‐surface concentrations has been challenging. In this regard, hovering unmanned aerial vehicles (UAVs) represent an emerging technology. The study herein provides guidance for optimized atmospheric sampling by hovering copter‐type UAVs. Large‐eddy simulations are conducted for species having chemical lifetimes ranging from reactive (i.e., 102 s) to long‐lived (i.e., 108 s). The case study of fair‐weather conditions over an equatorial tropical forest is used because of previous UAV deployments in this region. A framework is developed of influence length and horizontal shift of upwind surface emissions. The framework quantifies the length scale of the contribution of upwind forest emissions to species concentrations sampled by the downwind hovering UAV. Main findings include the following: (1) sampling within an altitude that is no more than 200 m above the canopy is recommended for both high‐ and intermediate‐reactivity species because of the strong decrease in species concentration even in a highly turbulent atmosphere; (2) sampling durations of at least 5 and 10 min are recommended for intermediate‐ and high‐reactivity species, respectively, because of the effects of atmospheric turbulence; and (3) in the case of heterogeneity of emissions across the underlying landscape, maximum recommended altitudes are presented for horizontal sampling strategies that can resolve the variability in the landscape emissions. The coupled effects of emission rate, wind speed, species lifetime, turbulence, and UAV sampling duration on influence length must all be considered for optimized and representative sampling over forests.
Application on Damage Types Recognition of Civil Aeroengine Based on SVM Optimized by DMPSO

In order to recognize the damage types of aeroengine automatically and Reliably, enhance the support capability of aeroengine maintenance, the feature extraction method based on color moments and gray level co-occurrence matrix (GLCM) is proposed to construct the feature database of the aeroengine damage images. The support vector machine (SVM) is utilized as intelligent classifier for damages recognition. Meanwhile, a double-mutations particles swarm optimization (DMPSO) algorithm is designed to optimize the kernel parameter and penalty factor for guaranteeing the recognition performance of SVM. Finally, the feature databases are constructed by different feature methods according to actual four damage types of a certain aeroengine, and then the proposed SVM optimized by DMPSO is used to compare with back propagation (BP) network, extreme learning machine (ELM) network, and k-nearest neighborhood (k-NN). The recognition results have proven the proposed feature extraction method is more suitable for aeroengine damage recognition. Meanwhile, the comparison results have demonstrated the optimized SVM always has better and stable recognition output.