Miracle-dz/UniFAR-FTUs huggingface dataset:
Facial Skin Monitoring System Based on Image Processing

The face skin quality tester can give reasonable skin care recommendations for the replication situation, so it has a broad market prospect. The current domestic testers have shortcomings such as single detection function, low detection accuracy, complicated operation, expensive price and large volume. This paper studies the image processing algorithm for skin quality index detection, including oil and pigment detection based on HSV color space, pore detection based on dual threshold segmentation and morphological operations, and roughness index detection based on gray-level co-occurrence matrix. And based on the CBS-1800 detection system as the standard, the skin quality index detection algorithm in this paper has been effectively verified.
Advances on gradient scaffolds for osteochondral tissue engineering

The osteochondral (OC) tissue is one of the most hierarchical and complex structures known and it is composed by two main compartments of hyaline articular cartilage and subchondral bone. It exhibits unique cellular and molecular transitions from the cartilage to the bone layers. OC diseases such as osteoarthritis and traumatic lesions may affect the articular cartilage, calcified cartilage (interface region) and subchondral bone, thus posing great regenerative challenges. Tissue engineering (TE) principles can offer novel technologies and combinatorial approaches that can better recapitulate the biological OC challenges and complexity in terms of biochemical, mechanical, structural and metabolic gradients, and ultimately can provide biofunctional 3D scaffolds with high reproducibility, versatility and adaptability to each patient’s needs, as it occurs in OC tissue defects. The recent reports and future directions dealing with gradient scaffolds for OCTE strategies are overviewed herein. A special focus on clinical translation/regulatory approval is given.
Effect of pH on the Performance of Sulfate and Thiosulfate-Fed Sulfate Reducing Inverse Fluidized Bed Reactors

AbstractSulfate-reducing bacteria (SRB)–based technologies have gained a lot of attention in the field of wastewater treatment, especially to treat metal-contaminated wastewaters. An inverse fluidized bed (IFB) bioreactor is a versatile bioreactor configuration that uses SRB technology for metal removal and recovery from wastewater. Apart from sulfate, which is commonly used as an electron acceptor, thiosulfate is another potential candidate for this process. In this study, the performance of two IFB bioreactors that were operated at pH 7.0 (R1) and 5.0 (R2) using sulfate and thiosulfate as the electron acceptors were evaluated. The electron donor used in this study was ethanol and the chemical oxygen demand (COD) to electron acceptor ratio (SO42− or S2O32−) was kept constant at 1.0. By using sulfate as the electron acceptor, the average COD removal efficiency was 75.0 and 58.0% at pH 7.0 and 5.0, respectively, while the sulfate removal efficiency was 74.4 and 50.4%, respectively. The average sulfide prod.
Cyanide detoxification methods in food: A review

Cyanide is a toxic substance found in several tubers such as cassava (Manihot esculenta), wild yam (Dioscorea hispida Dennts), some cerealia and legumes. In the plants, it can be in the form of cyanogenic glycosides, acetone cyanohydrin, and hydrogen cyanide (HCN). Cyanogenic glycosides such as linamarin and lotaustralin belong to the product of secondary metabolism. The characteristic of cyanogenic glycosides is intermediately polar, water-soluble, and often accumulated in the vacuoles of plant cells. Acetone cyanohydrins are intermediates product from cyanogenic glycosides and cyanide acid in plant tissues. HCN, hydrogen cyanide, is a volatile and water-soluble compound. The toxic effect of cyanide in humans is inactivation of cytochrome oxidase, respiratory disorders, sore throat, dizziness, limpness, convulsions, and lethal effects. Cyanide can be removed by several processes before consumption. Methods such as peeling, washing, heating, drying, fermenting and chemical treatment are used to remove or reduce cyanide. The treatment can damage the structure of the cell and hydrolyzed the cyanogenic glycosides to acetone cyanohydrin and glucose by endogenous enzyme like linamarase. A second enzyme, hydroxynitril lyase, can dissociate acetone cyanohydrins to HCN, ketone and aldehyde compound. The maximum safe level for total cyanide in food is 10 ppm. This review aims at updating the available knowledge on the various detoxification cyanide in food.
The characteristics of local rice varieties of tidal swampland in South Kalimantan

The local rice varieties of tidal swampland dominate paddy fields in South Kalimantan. Differences in varieties are found with various names as Siam, Bayar, Pandak, and Lemo. This paper reviews of studies related to the local rice of tidal swampland in South Kalimantan. The paper aims to describe the agronomic and morphologic characteristics of the local rice varieties. Data obtained from research was carried out at acid sulfate soils of tdal swampland in South Kalimantan. Characterization of the local rice varieties is carried out based on the Standard Evaluation System for Rice IRRI on agronomic traits, morphological character, grain quality including Fe and Zn content in brown rice, abiotic and biotic stress plant. The observed characters showed that several local rice varieties of tidal swamplands had good or superior characters so that it can be used as crossing material in breeding programs to improve new varieties (HYV’s) that are adaptable in the soil problem and acceptable by farmers and consumers at tidal swamplands. The new HYV’s can also increase rice production and productivity and increase markets demand at tidal swamplands of South Kalimantan.
Research of solar energy potential in the Eastern Siberia

The article presents the results of solar energy potential studying in the Eastern Siberia region (in particular the Irkutsk Oblast) of the Russian Federation by integrating data from three databases: observatories of the CIS countries, NASA and the Hong Kong Observatory. The analysis of the databases was carried out taking into account their error degree. The results obtained make it possible to identify the year periods in when solar power plants can be used as efficiently as possible, both for generating thermal energy and electricity. In turn it will allow optimizing both the solar stations and the design of the solar panels and collectors themselves. The research methodology presented in this article can also be applied to assess the solar energy potential in other regions of the Russian Federation, which can be used for systematizing the data obtained for further calculations of solar plants required capacity and their design.
A novel single-element transducer with curved surface for cavitation detection

Acoustic cavitation is increasingly used to apply in industrial and clinical areas. However, with the development of these fields, the precision of devices used to monitor cavitation activity gradually cannot meet the needs of the higher accuracy requirements of practical application. In this paper, we propose several design schemes of a novel passive cavitation detector (PCD) which is hoped to have better measuring performance than traditional plane PCD because of its focusing effect. By conducting FEM simulations, the optimal design plan and the surface curvature of PCD were chosen. It is shown that the measuring ability of the final selected PCD is near 1.7 times of traditional plane PCD.
Retraction Retraction: Real Time Fire detection and Localization in Video sequences using Deep Learning framework for Smart

This work presents autonomous electrical fire-detection and localization using computer vision based techniques. The proposed work uses YOLO v2 to extract the electrical fire features more effectively than other conventional and machine learning approaches. This working model is tested on commercial and residential building as well as indoor and outdoor environments. This framework has achieved high detection accuracy and low false alarm rate. Besides, the proposed frame work can be used for early real-time electrical fire detection in surveillance videos and we present experimental results for electrical fire localization in CCTV footage using the deep learning architecture proposed in this work.
Exploring Rhodium(I) Complexes [RhCl(COD)(PR3)] (COD = 1,5-Cyclooctadiene) as Catalysts for Nitrile Hydration Reactions in Water: The Aminophosphines Make the Difference

Several rhodium(I) complexes, [RhCl(COD)(PR3)], containing potentially cooperative phosphine ligands, have been synthesized and evaluated as catalysts for the selective hydration of organonitriles into amides in water. Among the different phosphines screened, those of general composition P(NR2)3 led to the best results. In particular, complex [RhCl(COD){P(NMe2)3}] was able to promote the selective hydration of a large range of nitriles in water without the assistance of any additive, showing a particularly high activity with heteroaromatic and heteroaliphatic substrates. Employing this catalyst, the antiepileptic drug rufinamide was synthesized in high yield by hydration of 4-cyano-1-(2,6-difluorobenzyl)-1H-1,2,3-triazole. For this particular transformation, complex [RhCl(COD){P(NMe2)3}] resulted more effective than related ruthenium catalysts.
Anaerobic co-digestion of chicken manure with energy crop residues for biogas production

Biogas or bio-methane is an alternative energy source produced by anaerobic digestion (AD) technology whereby the organic matter is degraded by naturally present microorganisms and converted into a combustible gas. This paper focus on the utilization of anaerobic codigestion (AcoD) method since biogas yield so far remains minimum based on mono-digestion alone due to low energy content. In this work, empty fruit bunch (EFB), oil palm frond (OPF) and sugarcane bagasse (SB) are being used as co-digestion additive since energy crop residues are known for its high carbon and energy content to enhance the process. A series of five 1.5L reactors were set up for a mesophilic condition at temperature 40°C, with initial pH range of 7-8, for 60 days of retention time. The mono-digestion reactor of chicken manure is labelled as DC1, and the co-digestion reactors with sugarcane bagasse, OPF and EFB are labelled as DSB, DOPF and DEFB, respectively. The recorded C/N ratio of co-digestion reactors were improved to be in a favourable range of 15 to 35 with DSB being the highest at 17.74 compared to that of control reactor at 11.35. As a result, total biogas production for DSB increases up to 36% due to its significantly high carbon content from sugarcane bagasse that provide stability for the bacterial growth and its activities. Sugarcane bagasse act as a good carbon source for the AD system, thus enhance the methane production. On the other hand, DOPF and DEFB give 13% and 41% lesser total biogas volume, however, produces much higher methane concentration compared to the control reactor. This shows that DOPF and DEFB give a higher methane yield which defines the more stability and efficiency of digestion process.
Fermented cassava as an alternative flour for pasta noodle

Cassava is widely cultivated in South East Asia countries like Indonesia. However, ordinary cassava flour cannot substitute wheat flour due to lack of gluten. Fermented cassava flour (fercaf) is a protein enriched cassava flour which is produced from a fermentation process of cassava flakes by lactic acid bacteria. Fercaf may serve as substitution to wheat flour, especially in pasta production. Nevertheless, a number of modifications should be exercise in product formulation to meet the ordinary ‘wheat base’ pasta product specifications. The current study was focus on these modifications i.e., addition of other flour and addition of hydrocolloids. The properties of pasta such as elasticity, yield, cooking weight, hardness, stickiness as well as sensory property were examined to determine the best pasta formulation. The results show that pasta made from fercaf with the addition of rice and corn flour gave strong and elastic texture while hydrocolloid addition increased water-binding of the pasta. The final pasta formulation included ratio of fercaf:rice:corn flour by 70:10:20 and addition of 2,5% xanthan gum.
Study on performance of various stent materials using explicit finite element analysis

In many countries, cardiovascular disease is the main cause of mortality. Stent is tiny wire mesh tube which is inserted in coronary artery to get rid of blockage. Stents are available in various types Bare metallic, Drug eluting and Bioresorbable. The use of bioresorbable stents reduces the threat of post-implantation effects like stent thrombosis and bleeding, it also dissolves in the body over the period of time once the healing is done while re-narrowing of the artery is more likely to occur in bare metal stents. Metals are important materials for stent due to mechanical properties and ease for Image processing. The objective of the work makes an effort to compare various materials used in stent using explicit analysis. For analysis, we used AISI 316L stainless steel, Nitinol and Mg alloy (WE43) which are standard materials for stent application. Explicit finite element study was done to study the performance of stent at varying pressures from 100 to 120mm of Hg, which is normal blood pressure range of a human body. This computational study found that Nitinol has stress values from 2.18MPa-2.62MPa and was less compared to other materials. Further study are planned to study the impact of coating that can enhance the biocompatibility.
Student’s misconception and thinking style on modern physics course

This study aims to determine the relationship between misconceptions and thinking styles of students in modern physics course and to determine which type of thinking style is more dominant in relation to misconceptions. This type of research is a survey study with a quantitative approach. The samples in this study were 60 students who have followed the modern physics course. Data collection used a two-tier diagnostic test on modern physics and a thinking style questionnaire. The results of the analysis with the correlation test found that the types of thinking style Concrete Sequential (CS), Abstract Sequential (AS), and Random Abstract (RA) are negatively correlated with misconceptions or it can be said that there is almost no correlation with misconceptions, namely (-0.024), (-0.113) and (-0.082). Meanwhile, the type of concrete random thinking style (CT) has a positive correlation with misconceptions, but the relationship is weak (0.303). Based on these results, it can be said that the types of thinking styles of students tend to have no correlation with misconceptions. Even though the correlation between the two is low, it is necessary to pay attention to the thinking style of students in conveying concepts in modern physics.
Challenges and Countermeasures of Translation Teaching in the Era of Artificial Intelligence

The development of artificial intelligence has greatly improved the quality of machine translation (MT), bringing great changes to translation business and translation teaching in universities. At present, teachers and students of translation study do not have enough knowledge about the latest development of MT, and rarely integrate MT into translation practice. Outdated teaching methods and poor use of translation technologies fail to cultivate talents needed by the translation industry. The teaching of translation should make corresponding changes according to changes of practice in language service by updating teaching methods, incorporating MT and related translation tools and technologies into teaching, establishing a diversified translation evaluation system so as to further improve students’ post-translation editing ability and language competence.
Improving the efficiency of the railway electric power system

The railway productivity can be increased by increasing the efficiency of the electric power system, the main elements of which are traction substations, overhead contact systems and electric locomotives. The paper analyzes the technical infrastructure of the electric power system of the railway and evaluates the energy efficiency of the equipment. To assess the energy efficiency of the system elements, the revised law of conservation of energy in the electromagnetic field, spectral analysis of electrical quantities and mathematical computer modeling of electromagnetic processes in the system are used. The proposed energy characteristics of the elements of the electric power system made it possible to determine the reasons that hinder the further development of the throughput and carrying capacity of the railway. In order to eliminate the negative impact of inductive resistance of the system elements on the energy indicators of the traction supply and the AC electric rolling stock, the feasibility of the use of high voltage DC electric traction has been proved. Through the complete and continuous use of the voltage of the electricity system for electric traction, it is possible to ensure movement in the intersubstation zone of three linked multiple trains instead of one and increase the speed of trains by 20%. Using high-voltage direct current, the efficiency of electric traction of trains can be in-creased by 7% compared to electric traction of trains using alternating current by reducing the current by 40% in the overhead contact system.
Optimization of Nano Capacitive Pressure Sensor for Medical Applications

Nano/NEMS sensors have emerged from MEMS technology. Nano sensors have got lot of applications in medical and health care applications. Nano sensors have lot of attributes which make them very unique and special, such as: small size, low mass, high sensitivity and low cost of production. In this paper we present optimization of nano capacitive pressure sensor dimensions for medical applications. Capacitive pressure sensors are well suited for low pressure sensing applications. Typically, in medical field involve low pressure levels ranging from few Pascals to kilo Pascals. DoE is used for the optimization of sensor dimensions. The sensor is optimized to operate over the pressure range up to 100 kPa. Over this pressure range the sensor dimensions are optimized to get better response in terms of capacitance. The proposed optimization illustrates the dimensions best suited for the design of nano capacitive pressure sensor for operational range up to 100 kPa.
Optimal economic dispatch of microgrid based on chaos map adaptive annealing particle swarm optimization algorithm

This paper adds chaos optimization based on adaptive annealing particle swarm optimization algorithm, which improves the global convergence ability and makes up for the shortcomings of traditional PSO algorithm, which is easy to fall into local optimization in addition, this paper adds simulated annealing operator, improving the diversity of better population. In addition, the micro source of microgrid is modeled, and the constraints of the model are set. The fitness of the optimized algorithm is compared with the traditional algorithm, and the objective function involved in microgrid dispatching is taken as the application layer. Finally, through data analysis, the effectiveness of the optimization algorithm for microgrid optimal economic dispatching is confirmed.
EEG signal classification method based on improved empirical mode decomposition and SVM

Epilepsy is a common phenomenon formed by abnormal discharges between brain neurons. The seizures of epilepsy are sudden and irregular. As a non-stationary signal, EEG signals can express its characteristics to a certain extent, and makes a significant difference in the monitoring and treatment of epilepsy diseases. This study employs empirical mode decomposition (EMD) to decompose the interictal and epileptic EEG signals into multiple eigenmode functions (IMF), and combines the correlation coefficient to screen the main IMF and extract its variance, fluctuation coefficient and Coefficient of variation and other features, combined with support vector machines for classification. Compared with the traditional empirical mode decomposition, this method has higher accuracy in the identification and classification of epileptic signals. The combination of this method not only provides a theoretical method for disease diagnosis and treatment, but also verifies the research and application value of EEG signals to a certain extent.
Skyline quadratic residue diffuser-resonator (SQRD-R): a study about its characteristic

To create a comfortable acoustic environment both indoor and outdoor, we need to control the noise. In the room, noise comes from both outside and inside the room for example is flatter echo. Installation of acoustic material such as absorber, resonator, or diffuser is an example of indoor noise control. QRD is one of diffuser consider of wells with different depth to diffuse the reflected sound. The depth of the wells is calculated by DR. Manfred Schroeder formula. In this research, a combination of Skyline QRD and Helmholtz resonator is given, we call it SQRD-R. This SQRDR follows the design from Wes Lachot Design but using a Helmholtz resonator as the cell. The examination of its characteristic is built using both of impedance tube test and calculation. The purposes of this research are learning about the effect of holes position on its sound impedance and sound absorption coefficient. The highest impedance value is –j(3.5 x 107) acoustic ohm. The highest absorption coefficient is 0.9. By controlling the SQRD-R dimension, we can control noise at specific frequency.
Efficient Clustering of Unlabeled Brain DICOM Images based on similarity

Clustering has proven to be an effective method in the medical field for finding patterns in labelled and unlabelled datasets. This work is implemented over whole body CT scans (∼1TB) of 3500 patients in form of unlabelled DICOM images. The whole-body CT images have been anonymized for 30 attributes based on DICOM regulations and the Brain images alone are segmented using the DICOM tag element called ‘Protocol stack’. The segmented Brain images are efficiently grouped based on visual similarity using K-means clustering after performing feature extraction and dimensionality reduction. The results of the clustering can be furtherutilized by radiologists to perform labelling or find patterns in Brain CT scans of patients that are difficult where each scan consists of a varying number of slices during detection of Internal Bleeding. The efficiency of K-means is analyzed by performing computation over a different number of clusters (K) by applying silhouette scores to find optimal cluster.
Comparative Analysis of Prophet and LSTM Model in Drug Sales Forecasting

With the rapid development of China’s pharmaceutical industry, accurate prediction of drug sales has become the key to enterprises’ competitiveness. Sales forecasting research has very important value for strategic decisions and improvement measures made by enterprises. We studied mainly two machine learning methods of pharmaceutical sales prediction in this paper, analyzed deeply the prophet model and LSTM, and carried out a comparative experiment on these two methods using real sales data. The experimental results show that the LSTM model is more accurate than the Prophet model on drug sales forecasting.