Miracle-dz/UniFAR-FTUs huggingface dataset:
Exfoliated MoS2 and MoSe2 Nanosheets by a Supercritical Fluid Process for a Hybrid Mg–Li-Ion Battery

The ultrathin two-dimensional nanosheets of layered transition-metal dichalcogenides (TMDs) have attracted great interest as an important class of materials for fundamental research and technological applications. Solution-phase processes are highly desirable to produce a large amount of TMD nanosheets for applications in energy conversion and energy storage such as catalysis, electronics, rechargeable batteries, and capacitors. Here, we report a rapid exfoliation by supercritical fluid processing for the production of MoS2 and MoSe2 nanosheets. Atomic-resolution high-angle annular dark-field imaging reveals high-quality exfoliated MoS2 and MoSe2 nanosheets with hexagonal structures, which retain their 2H stacking sequence. The obtained nanosheets were tested for their electrochemical performance in a hybrid Mg–Li-ion battery as a proof of functionality. The MoS2 and MoSe2 nanosheets exhibited the specific capacities of 81 and 55 mA h g–1, respectively, at a current rate of 20 mA g–1.
Stable Isotopes in Tree Rings of Pinus heldreichii Can Indicate Climate Variability over the Eastern Mediterranean Region

A long-term context is important for understanding past climatic variability. Although tree-ring widths (TRWs) are widely used as a proxy for reconstructing past climate, the use of annually-resolved values of δ13C and δ18O tree-ring stable isotopes (TRSIs) is increasing and may provide further valuable information. Here, we present a 487-year-long TRW chronology and 240-year-long TRSI chronology for Bosnian pine (Pinus heldreichii H. Christ) and compare them to each other. We demonstrate that both δ13C and δ18O values are better proxies for temperature, precipitation, and drought than TRW. The correlations between these climate parameters and TRSIs are strongest for the combined summer (JJA) period. The results of temporal and spatial field correlation indicate that TRSI chronologies are stable, reliable proxies for JJA precipitation reconstruction over the whole Balkan Peninsula and surrounding eastern Mediterranean region. However, the stability of the temperature signal of the both δ13C and δ18O chronologies declines after the 1950s. Our work supports the emerging evidence that TRSI data track climate variability more accurately than a conventional TRW approach and can be subsequently used for the reconstruction of past climate.
Purification of bovine immunoglobulin G light chain and preparation of rabbit anti-bovine IgG-L sera

The IgG was isolated form the bovine colostrums by the chromatography and salt fraction method,and apply the chemistry method to split to recover the IgG light chain.300 mL protein solution was obtained and the concentration of the purified protein was 0.105 g·L-1.Its molecular weight(M.W) was proved to 27.66 ku by SDS-PAGE.Rabbits were immunized with the concentrated protein solution and the rabbit antiserum to light chain of IgG was obtained.Double diffusion shown the titre 1∶16.The related application of the antiserum is in the research now.
An Optical Physics Inspired CNN Approach for Intrinsic Image Decomposition

Intrinsic Image Decomposition is an open problem of generating the constituents of an image. Generating reflectance and shading from a single image is a challenging task specifically when there is no ground truth. There is a lack of unsupervised learning approaches for decomposing an image into reflectance and shading using a single image. We propose a neural network architecture capable of this decomposition using physics-based parameters derived from the image. Through experimental results, we show that (a) the proposed methodology outperforms the existing deep learning-based IID techniques and (b) the derived parameters improve the efficacy significantly. We conclude with a closer analysis of the results (numerical and example images) showing several avenues for improvement.
A Portable Electrochemical workstation using Disposable Screen-Printed Carbon Electrode decorated with Multiwall Carbon Nanotube-Ionic Liquid and Bismuth Film for Cd(II) and Pb(II) Determination

Heavy metal ions endangered human health seriously when they were absorbed and accumulated into in plants and animals. However, instruments using in labs and testing agencies were large size, expensive and complex operations, which were difficulty applying for heavy metal ions determination in situ. To solve this problem, we explored a portable electrochemical workstation and disposable screen-printed carbon electrode(SPCE), which were employed to determinate Cd(II) and Pb(II). This SPCE was modified with multi-walled carbon nanotube(MWNT) and ionic liquid(IL), and then reduced a bismuth film(BI) in situ. The characteristics of BI/MWNT-IL/SPCE were investigated through electrochemical methods including cyclic voltammetry and impedance spectroscopy. Some parameters of BI/MWNT-IL/SPCE were optimized with our portable device. By optimizing and testing, the linear relationship between peak currents and concentrations of Cd(II) and Pb(II) was established, which got the linear range from 1.0 to 60 μg/L for Cd(II) and for Pb(II) with the detection limit of 0.5 μg/L and 0.12 μg/L (S/N = 3). Finally, this portable electrochemical workstation and electrode were employed to the determination of Cd(II) and Pb(II) in soil samples with satisfactory results.
Gfetsim: Graphene field-effect transistor simulator of interface charge density

The discovery of graphene by Andre Geim and Konstantin Novoselov in 2004 contributed significantly to complementary metal-oxide-semiconductor (CMOS) technology, especially for electronic devices. Due to its outstanding properties, graphene has been used in many applications such as field-effect transistors (FETs), touch-sensitive screens, liquid-crystal displays, light-emitting diodes, dye-sensitised solar cells, and organic solar cells. Consequently, interface charge density in graphene field-effect transistors has become an important area of research in order to more accurately determine electronic characteristics such as capacitance-voltage (C-V). In this research, we developed a comprehensive simulation tool based on graphene FET called graphene field-effect transistor simulator (GFETSIM) of interface charge density, which functions as a graphical user interface (GUI) using MATLAB. This simulation represents the on-going development of a carbon-based device simulator begun in 2014 at Universiti Teknologi Malaysia (UTM). An automated selfconsistent approach is utilised to extract and compute the interface charge density. It is coded in MATLAB and the program was developed into an interactive MATLAB GUI simulation tool. The interface for GFETSIM is generated using the graphical user interface development environment (GUIDE) in MATLAB. This simulator allows users to import external C-V data into the GUI and carry out analysis based on the density of states plots. In addition, key parameter values can be varied to assess the outcome and changes in interface trapped density. In addition, a reset button is embedded into the simulator.
Independent brain F-FDG PET attenuation correction using a deep learning approach with Generative Adversarial Networks

Objective: Attenuation correction (AC) of positron emission tomography (PET) data poses a challenge when no transmission data or computed tomography (CT) data are available, e.g. in stand alone PET scanners or PET/magnetic resonance imaging (MRI). In these cases, external imaging data or morphological imaging data are normally used for the generation of attenuation maps. Newly introduced machine learning methods however may allow for direct estimation of attenuation maps from non attenuation-cor-rected PET data (PET ). Our purpose was thus to establish and evaluate a method for independent AC of NAC 18 brain uorine-18-uorodeoxyglucose ( F-FDG) PET images only based on PET using Generative Adver-NAC sarial Networks (GAN). Subjects and Methods: After training of the deep learning GAN framework on a paired training dataset of PET and the corresponding CT images of the head from 50 patients, pseudo-NAC CT images were generated from PET of 40 validation patients, of which 20 were used for technical valida-NAC tion and 20 stemming from patients with CNS disorders were used for clinical validation. Pseudo-CT was used for subsequent AC of these validation data sets resulting in independently attenuation-corrected PET data. Results: Visual inspection revealed a high degree of resemblance of generated pseudo-CT images compared to the acquired CT images in all validation data sets, with minor di�erences in individual anatomical details. Quantitative analyses revealed minimal underestimation below 5% of standardized uptake value (SUV) in all brain regions in independently attenuation-corrected PET data com-pared to the reference PET images. Color-coded error maps showed no regional bias and only minimal average errors around ±0%. Using independently attenuation-corrected PET data, no di�erences in image-based diagnoses were observed in 20 patients with neurological disorders compared to the reference PET images. Conclu-18 sion: Independent AC of brain F-FDG PET is feasible with high accuracy using the proposed, easy to implement deep learning framework. Further evaluation in clinical cohorts will be necessary to assess the clinical performance of this method.
Analysis of displacements in beam structures and shells with middle developable surfaces

Generally the displacements of the beams are calculated by the traditional methods of structural mechanics with the help of approximate formulas which provide good results for linear tasks. The author shows that the approximate formula is not suitable for analysis in the case of geometrical nonlinearity which occurs during the manufacturing process of bending developable shells. The comparison of results got by methods of structural mechanics and shell theory for the shells with developable middle surfaces is given.
Effect of three Mechanical Systems on Removal of Endotoxins from Asymptomatic Necrotic teeth with apical Periodontitis. (A randomized clinical trial)

Objective: The present study's objective was to evaluate the percentage of endotoxin diminution after mechanical instrumentation of asymptomatic necrotic teeth with apical periodontitis using three mechanical systems. Materials and Methods: One hundred and eighty patients between 18 and 65 participated in this research. Thirty-five of 140 teeth were selected for the four enlargement techniques. Control group, TFA, WOG, and PTN groups received final flushing with 6C 17% EDTA solution gently administered to the WL through a cold (6C) sterile metallic microcannula attached to the Endovac system (Kerr Endo) for one minute. Two samples of the canal were obtained using a sterile paper cone (size 30) introduced into the canal ́s full length. Results: Results showed a statistically significant difference between the two groups in the percentage reduction of endotoxin levels (P-value <0.001, Effect size = 0.598). Group PTN showed a statistically significantly lower median % reduction in endotoxin quantities than Group WOG and TFA. Conclusion: Under this study's conditions, it can be concluded that the PTN system was more effective in endotoxins reduction in teeth with necrotic pulps. When the RCT is correctly instrumented, single visit RCT can be as effective as a multiple visit treatment.
NONLINEAR ITERATIVE COMPUTATIONS ON NEARLY SINGULAR SYSTEMS

Large-scale computations, arising from the discretization of the partial differential equations of nonlinear problems, are most efficiently performed with Krylov-type iterative solvers on parallel machines, due to their small memory requirements and high parallel efficiency compared with the direct (LU-type) solvers. The investigation of the nonlinear aspects of the solution space structure, namely the dependence of multiplicity and stability of solutions on parameters, requires computations near singularities, such as bifurcation and turning points. In this work is studied the convergence of a preconditioned Krylov-type iterative solver, with and without preconditioning, near and far from singularities. Moreover, an efficient method for singularity detection is presented. It is applied in the solution of linearized equations sets resulting from the discretization, by the Galerkin/finite element method, of a three-dimensional, nonlinear and free boundary problem of capillary magnetohydrostatics. A. N. Spyropoulos, A. G. Papathanasiou and A. G. Boudouvis 2
Self-Tuning Query Scheduling for Analytical Workloads

Most database systems delegate scheduling decisions to the operating system. While such an approach simplifies the overall database design, it also entails problems. Adaptive resource allocation becomes hard in the face of concurrent queries. Furthermore, incorporating domain knowledge to improve query scheduling is difficult. To mitigate these problems, many modern systems employ forms of task-based parallelism. The execution of a single query is broken up into small, independent chunks of work (tasks). Now, fine-grained scheduling decisions based on these tasks are the responsibility of the database system. Despite being commonplace, little work has focused on the opportunities arising from this execution model. In this paper, we show how task-based scheduling in database systems opens up new areas for optimization. We present a novel lock-free, self-tuning stride scheduler that optimizes query latencies for analytical workloads. By adaptively managing query priorities and task granularity, we provide high scheduling elasticity. By incorporating domain knowledge into the scheduling decisions, our system is able to cope with workloads that other systems struggle with. Even at high load, we retain near optimal latencies for short running queries. Compared to traditional database systems, our design often improves tail latencies by more than 10x.
Phase and Composition Tuning of 1D Platinum‐Nickel Nanostructures for Highly Efficient Electrocatalysis

Among various platinum (Pt)‐based nanostructures, porous or hollow ones are of great importance because they exhibit fantastic oxygen reduction reaction (ORR) enhancements and maximize atomic utilization by exposing both exterior and interior surfaces. Here, a new class of porous Pt3Ni nanowires (NWs) with 1D architecture, an ultrathin Pt‐rich shell, high index facets, and a highly open structure is designed via a selective etching strategy by using the phase and composition segregated Pt‐Ni NWs as the starting material. The porous feature of Pt3Ni NWs can be readily fulfilled by changing the Pt/Ni atomic ratio of the starting Pt‐Ni NWs. Such porous Pt3Ni NWs show extraordinary activity and stability enhancements toward methanol oxidation reaction and ORR. The porous Pt3Ni NWs can deliver ORR mass activity of 5.60 A mg−1, which is 37.3‐fold higher than that of the Pt/C. They also show outstanding stability with negligible activity loss after 20 000 cycles. This study offers a unique approach for the design of complex nanostructures as efficient catalysts through precisely tailoring.
Testing The Convergence Hypothesis

Over the last five years, few issues have proven more controversial in empirical economics than the so-called convergence hypothesis. This paper considers the issue of convergence across Greek regions, using time series techniques. Our empirical results support the popular view prevailing in Greece about the existence of dualism across the Southern and Northern regions of Greece. A possible explanation for this may be the lack of experience that the poor countries (like Greece) have in comparison with the rich ones. The rich countries have the combined ability to educate themselves as they grow rich and the endogenous ability to accumulate the knowledge upon which these efforts are made. Also, the same argument can be used as an explanation for the regional differences -the fact that the poor regions do not have previous experience and knowledge for efficient investments.
Dismantling Ideology and Power of Corporate Annual Report

Article history Received 16 September 2020 Revised 1 October 2020 Accepted 16 October 2020 This article aims to explain that critical discourse analysis (CDA) can be used to uncover the ideology and power behind the discourse and visual images of corporate annual reports. The method used are the literature study and mapping of various research related to critical discourse analysis. The results show that critical discourse analysis is able to uncover ideology and power in corporate annual reports. Through "Beyond CDA", reality is constructed according to Islamic teachings. This article adds insight into accounting research methodology through critical discourse analysis and is useful for deepening the analysis of a text.
Morphobiometric Characteristics and Biodiversity of Indigenous Guinea Fowl (Numida meleagris) in Benin

1 Laboratory of Poultry Production Techniques, Regional Centre of Excellence on Poultry Sciences (CERSA), University of Lome, PO Box 1515 Lome, Togo 2 Laboratory of Plant Physiology and Biotechnology, Faculty of Sciences, University of Lome, PO Box 1515 Lome, Togo 3 Laboratory of Poultry Research and Zoo-Economics (LaRAZE), Faculty of Agricultural Sciences, University of Abomey-Calavi, 01 PO Box 509 RP Cotonou, Benin. Corresponding author’s Email: oromib@gmail.com; ORCID: 0000-0002-8546-5987 Received: 7 Feb. 2021 Accepted: 20 Mar. 2021 ABSTRACT
Screening of Mango Varieties for Dessert and Madeira-Style Wines

Twenty-three varieties of mango were screened for dessert and madeira-style wines. Dessert wines from six varieties and madeira-style wines from 11 varieties were organoleptically highly acceptable. Madeirization of dessert wines increased the volatile esters slightly and reduced titratable and volatile acidity. The color and organoleptic quality of madeirized wines were generally better than those of dessert wines. However, madeirization had an adverse effect on sensory qualities of some vaieties with strong aroma.
Synthesis and characterization of PAMAM—COOH and its effect on sanitary properties of microfiber synthetic leather

G0.5 PAMAM—COOH and G1 PAMAM—COOH were prepared by modifying G0.5 PAMAM and G1 PAMAM with hydrochloric acid and aldehyde acid respectively.The modifying conditions of G1 PAMAM with glyoxalic acid were optimized by single-factor experiment.The n(G1 PAMAM) ∶ n(aldehyde acid) was 1 ∶ 12,the reaction temperature was 35 ℃ and the reaction time was 2 h.The G0.5 PAMAM—COOH and G1 PAMAM—COOH were used to modify polyamide microfiber synthetic leather base.The results showed that the water vapor permeability of microfiber synthetic leather base increased by 26.97% and 34.59%. The SEM images of the modified base showed that the microfiber became loose and the pore became big.The water contact angle test revealed that the hydrophilic groups increased.Compared to unmodified base,the water penetration time of bases modified by G0.5 PAMAM—COOH and G1 PAMAM—COOH shortened by 71.74% and 78.26%. These showed that the sanitary properties of microfiber synthetic leather were greatly improved.
Effect of sound‐absorptive facings on partition airborne sound‐transmission loss

Laboratory measurements of the effect of sound‐absorptive facings on partition airborne sound‐transmission loss are presented. For a double‐leaf partition of 1/2‐in. gypsum board on 2×4 in. studs, the application of sound‐absorptive facings has led to improvements in transmission loss of as much as 10 dB or more in the 1/3‐octave bands above 1 kHz. Corresponding, but smaller, improvements have been measured at lower frequencies. A preliminary theoretical analysis is presented.
The Determination of Fatty Acid Composition and Content in the Different Organs of Coix lacryma-jobi L from Pucheng Fujian

The fatty acids composition and content in the different organs of Coix lacryma-jobi L from Fujian were measured by gas chromatography.The results showed that,different organs of Coix contain 10 kinds of fatty acids such as linoleic,g-linolenic,palmitic,stearic,oleic,and the fatty acid composition from different organs were different.This paper also discussed the unsaturated fatty acids and saturated fatty acid proportion of Coix organs and their nutritional value.
Castor oil modified by epoxidation, transesterification, and acrylation processes: Spectroscopic characteristics

ABSTRACT In the present study, castor oil (CO) was modified by epoxidation, transesterification, and acrylation processes. In situ epoxidation method was used to prepare epoxidized castor oil (ECO) in acetic acid with hydrogen peroxide in the presence of Seralite SRC-120 catalyst. Transesterified epoxidized castor oil was synthesized from the reaction of methanol in the presence of sodium methoxide catalyst. The acrylated epoxidized castor oil was synthesized from the reaction of ECO with acrylic acid containing hydroquinone. Chemical structures of modified CO were analyzed by Fourier transform infrared spectroscopy and proton nuclear magnetic resonance spectra analysis.
The convolutional neural networks for Amazigh speech recognition system

In this paper, we present an approach based on convolutional neural networks to build an automatic speech recognition system for the Amazigh language. This system is built with TensorFlow and uses mel frequency cepstral coefficient (MFCC) to extract features. In order to test the effect of the speaker's gender and age on the accuracy of the model, the system was trained and tested on several datasets. The first experiment the dataset consists of 9240 audio files. The second experiment the dataset consists of 9240 audio files distributed between females and males’ speakers. The last experiment 3 the dataset consists of 13860 audio files distributed between age 9-15, age 16-30, and age 30+. The result shows that the model trained on a dataset of adult speaker’s age +30 categories generates the best accuracy with 93.9%.
Resistance Screening and Influence of Fruit Physico-biochemical Properties of “Carabao” and Other Mango Varieties Against Oriental Fruit Fly, Bactrocera dorsalis (Diptera: Tephritidae), in the Philippines

The Philippines is one of the major exporters of fresh and dried mangoes in the world, with “Carabao” (Mangifera indica L.) as its flagship variety. Among the most damaging pests that attack this cultivar is the oriental fruit fly, Bactrocera dorsalis Hendel, which limits the country’s export potential drastically. The control and management of this pest have been developed, however, the search and use of resistant cultivars have not been explored in the Philippines. In this study, a total of 33 mango accessions consisting of “Carabao” and other varieties were evaluated for resistance against B. dorsalis over a period of four years (one trial per year) through ‘choice’ tests. Repeated trials showed that accessions 12-209 (“Carabao” – Tree 203), 12-127 (“Carabao” – Tree 30), 12-103 (“Farrales”), and 16-010 (GES 77 NSIC Carabao variety) exhibited promising resistance ratings (i.e. no damage to moderately susceptible) against oriental fruit fly. Overall correlation analysis of fruit physico-biochemical properties revealed that insect visit is moderately affected by flesh flavonoid content. Meanwhile, adult emergence correlated to peel physicobiochemical properties, especially peel firmness, which considerably affected insect reproduction. Comparison between the most resistant and most susceptible accessions suggests that, apart from high flesh flavonoids and peel firmness, high flesh phenolics and low pH (acidic) levels may also play a defensive role in mango against oriental fruit fly. The accessions characterized can be used as stop-gap varieties or as parental lines for the breeding of resistant “Carabao” mango.