Miracle-dz/UniFAR-FTUs huggingface dataset:
STEEL COATED WITH CATIONIC POLY (ETHYLENIMINE) (PEI) AND ANIONIC POLY (VINYLSULFATE) (PVS) POLYELECTROLYTE MULTILAYER NANOFILM WITH DIFFERENT BENZOTRIAZOLE INHIBITOR CONCENTRATIONS

Nano-films consisting of an alternating sequence of positively and negatively charged polyelectrolytes have been prepared by means of the electrostatic layer-by-layer sequential assembly technique on mild steels. The mild steels were pretreated electrochemically to modify the mild steel surface. The modification of the mild steel surface resulted in increasing the adhesion of the obtained nano-films and prevented the corrosion attack during the coating processes. Different concentrations of Benzotriazole inhibitor were encapsulated between cationic and anionic polyelectrolytes nano films. The encapsulation of benzotriazole in the deposited nano-films was verified by U.V visible spectroscopy. The work mainly focuses on the effect of these nano-films of polyelectrolytes with inhibitor and without inhibitors on the corrosion protection. Tafel, corrosion potential, potentiostatic and Econ vs. time experiments were carried out in 0.7M NaCl solution. Weight loss method was used for measuring the corrosion rate of coated and uncoated mild steel substrate. A significant improvement in the corrosion protection was achieved especially in the case of electrochemically modifying the mild steel surface and encapsulating the inhibitors between the polyelectrolytes nano-films.
Metro Cable Negligence Disclosure using IOT

Underground links are inclined to a wide assortment of flaws because of underground conditions, mileage, rodents and so on diagnosing the shortcoming source is troublesome, and whole link ought to be taken out from the beginning check and fix flaws. The venture work is proposed to identify the area of deficiency in underground link lines from the base station in km utilizing an Arduino regulator. To find an issue in the link, the link should be tried for flaws. The current would fluctuate contingent on the length of flaw of the link. In the metropolitan regions, the electrical links run in underground rather than overhead lines. At whatever point the flaw happens in underground link it is hard to distinguish the specific area of the issue for interaction of fixing that specific link. In case of fault, the voltage across changes accordingly, which is then fed to an develop precise digital data to a programmed Arduino that further displays fault location in distance. The fault occurring distance, phase, and time is displayed on a LCD interfaced with the microcontroller. Internet of things (I.O.T.) is used to display the information over Internet using the personal computer (P.C).
Macrophomina phaseolina (Tassi) Goid Culture Filtrates is a Lucrative Source for Weed Control

The mycoherbicides have been recognized as an effective approach for weed control as being eco-friendly, low cost, and of long-lasting. This research was carried out to evaluate the herbicidal effect of Macrophomina phaseolina, the causal of sesame charcoal rot. The fungal culture was extracted with water and the extract toxicity was evaluated by seed germination, detached leaf, and whole plant bioassays on several weed species of Iraq (Cynanchum actum, Malva parviflora, Sorghum halepense, Lolium rgidum, and Silybum marianum). The results revealed that the extract of the fungal culture was significantly inhibited the germination of the examined weeds seeds by more than 86.7 %. The detached leaf bioassay also indicated that the culture extract was of potent toxic effect to all examined weed species, regardless their types (broad or narrow and mono or dicotyledonous). The phytotoxicity symptoms appeared on the detached leaves were as tissue and chlorophyll disintegration, yellowing, necrosis, and death. The same toxic symptoms were also recorded on the whole plant bioassay in vivo but the weed species of the narrow leaves however, showed significantly much less effect. The phytotoxicity on the examined weed species ranged from 66 to 83%. Moreover, the fungal culture extract was also found to be of potent toxic effect to milk thistle (Silybum marianum) despite the application method as foliar spraying or root immersing with 100% and 20% of the extract respectively. The results of this research showed for the first time the effect of M. phaseolina culture filtrates as a potent herbicide potential on different weed species.
The Primary culture of caudal fin, gill lamella, hepatopancreas and spleen of Osteochilus vittatus

The cell lines play an important role in the development of basic research and applied research. Most of the available cell lines derived from mammalian tissue and only 5% of cell lines derived from fish tissue. This experimental study was conducted to evaluate the potency of caudal fin, gill lamella, hepatopancreas and spleen explant of the Osteochilus vittatus as resources for cell line development. The explants were culture in DMEM/-Ham’s 12 with 15mM HEPES supplemented with 5% L-glutamine, 5% penicillin-streptomycin, and 10% Fetal Bovine Serum for 9 days at 25°C. The results showed that the caudal fin, hepatopancreas, spleen and gill filament cell outgrowth formed confluent monolayer. In addition to monolayer cells, floating life cells were found in the culture media of spleen (1.74×106 cells) and gill lamella (1.54×105 cells). The time needed to reach confluent was significantly different among explant type (p<0.05) with the fastest growth was observed in spleen explant culture. These results indicated that the four tested explants have good potency as resources for cell line development in Osteochilus vittatus.
Modelling the number of family planning participants in Southeast Sulawesi using geographically weighted regression model

The number of family planning participants in Southeast Sulawesi are influenced by spatial factor, for example geographically, socio culturally, and others. Geographically Weighted Regression (GWR) method is needed. Parameter estimates are only for each location and are different from other locations. The number of fertile age couples (X1) is significant in the regions of Buton, Muna, Konawe, Konawe Selatan, Wakatobi, Buton Utara, Konawe Utara, KonaweKepulauan, Kolaka Utara, Muna Barat, Buton Tengah, Buton Selatan, Kendariand Bau-Bau. The number of childbearing age couples (X1) and number of counselling officer (X2) is significant in the regions of Kolaka, BombanaandKolakaTimur.
The application of imperfect information game theory in social games

The research on game AI has always been one of the focuses of artificial intelligence research. More complex real-world problems can be solved by the study of game AI. Since our cognition and information acquisition of the world are imperfect, we proposed single deep counterfactual regret minimization method with advantage baselines, a deep reinforcement learning algorithm based on imperfect information game. The new approach combines the single deep counterfactual regret minimization approach with the baseline network to achieve a better performance than the benchmark in poker. At last, this paper applies the new algorithm to two Chinese poker games with imperfect information game, and obtains better performance. Meanwhile, it also provides the possibility for the extension to real life.
Low energy treatment system for brewery wastewater reuse

A pilot plant consisting of UASB, SBR and microfiltration in series was operated for 15 months to study a low energy treatment option for brewery effluent. The UASB was loaded up to 18 kg/kL.d. However for trouble free operation the loading had to be limited to 14 kg/kL.d. More than 80% of the feed COD was removed in the anaerobic process and a further 60% COD removal was observed in the aerobic process. An air backwashable microfiltration unit was used to remove suspended solids so that the treated water could be reused. The membrane unit was optimised by operating under dead-end, controlled flux conditions (permeate pumping) and air backwashing at set transmembrane pressure (TMP) (in practice the membranes are backwashed at set time interval). Operating energy cost calculations for the membrane system showed that the unit needs to be operated at low flux (say 20 to 30 L/m 2 .h) to have a low energy demand. However this necessitates a large membrane area. Optimisation for capital and energy cost indicates that the unit needs to be operated at more than 60 L/m 2 . h depending on the maximum TMP specified. The system energy balance was also calculated. The energy needed for the operation of all units less the energy gained from methane gas generated indicates that the system could yield a net energy of 2.5 kWh/kL water treated. The treated effluent had a turbidity of less than 1. 2 NTU and the BOD5 less than 20 mg/L.
A multi-sensors weighted data fusion method based on measurement traversal correction

In the case of multi-sensors weighted data fusion with unknown prior knowledge, a weighted data fusion method based on measurement traversal correction is proposed. The fusion accuracy of multi-sensors data fusion is influenced by both the measurement data accuracy and the data fusion weights of sensors. The measurement data of sensors is corrected through analyzing the reliability of different time data measured by sensors. The fusion weights of multi-sensors data fusion are optimal through depply analyzing the influence of weight distribution on multi-sensors data fusion accuracy. Typical examples are used to validate the proposed fusion algorithm, and the result shows that the fusion result is satisfying, and the algorithm is theoretical and practical.
Resonant photonic states of quasi one-dimensional photonic quantum well in a rectangular waveguide

We have demonstrated a calculation of the resonant photonic states of quasi one dimensional photonic quantum well for the transverse electric (TE) and transverse magnetic (TM) modes in a rectangular waveguide. The photonic crystal heterostuctures are composed of two different photonic crystals as (AB)m(CD)n(AB)m . In order to solve the resonant photonic states, it is necessary to calculate the transmission functions of TE modes and TM modes. In this work, we consider the propagation of microwaves in photonic crystal heterostructures in our simulation model. The positions and number of the resonant photonic states can be adjusted by the widths of photonic quantum wells. The degenerate resonant photonic states are not existed for both the TE and TM modes, respectively. These results are useful applications in photonic quantum devices and nano technologies.
An Efficient Technique to Extricate Keypoints from a digital image

With the immense technology emerging in this period, the transmitted image information across the network can be confined easily, maneuver, and then disseminated. For any labor done on processing images, it is mandatory to detect suitable meaningful keypoints. There are existing methods that perceive key points from an image but they fail to detect key points from a smooth textured area or they do not detect enough keypoints. A method is proposed using an improved version of the Scale Invariant Feature Transform (SIFT) technique that is capable of diagnosing key points even in smooth areas as well as administer key points towards the whole image evenly.
Critical Analysis of Urban Livability Measures Based on the Perspective of Placemaking

The livability level of an urban area is a substantial measure of one’s sense of connection to their neighborhood. Urban livability is often measured based on various measurable aspects such as stability, healthcare, culture and environment, education, and infrastructure as stated in EIU’s Global Liveability Ranking. However, these indicators often neglect the nature and processes by which places are made that form people’s sense of place much more than the physical availability of urban amenities. Therefore, this paper aims to analyze the critical perspective and contribution that placemaking brings to the measures of urban livability. This theoretical study analyzes key concepts and frameworks from secondary data such as reports and journal papers with the inductive content analysis method. Through the lens of placemaking principles, the gaps in many urban livability measures are identified. It is proposed that urban livability measure should incorporate placemaking principles of being community-driven, local assets, bottom-up, and trans-disciplinary to enhance the human-environment quality of urban livability.
Development of Aceh biodiversity information system

Aceh is rich in biodiversity, both flora, and fauna. Aceh’s biodiversity has not been well documented. This can be seen from the absence of an information system that is open to the public regarding biodiversity in Aceh. This study aims to develop a web-based Aceh Biodiversity Information System of Aceh Biodiversity. This Aceh Biodiversity Information System will collect data on biodiversity in Aceh from various parties, including researchers, academics, government, and the general public. The waterfall model as the Software Development Life Cycle (SDLC) model is used in the development of this information system. The System Usability Scale (SUS) is used to determine user opinions in using this information system as input for improvement. The results showed that this information system was good enough to accommodate the data collection process from various parties. Improvements to the existing features used in this information system need to be done. It is hoped that these Aceh Biodiversity Information System can be utilized as a data collector for the education, research, management, conservation, and other fields of a task, especially bioinformatics.
Photovoltaic forecasting model in Thailand: case study solar farm at Nakhon Ratchasima province

The photovoltaic module performance was normally tested at the standard conditions. The use of the actual field performance has not been investigated. One purpose of this study was to find the predicted equation for forecasting the energy produced from photovoltaic modules. Data for this study were collected using the data from the solar farm in Nakhon Ratchasima province: solar irradiation, ambient temperature, module temperature and wind velocity. The daily composite data were 1,461 from 1st January 2015 – 31st December 2018. The five predicted equations, including both the main effect and the interaction effect, were statistically analysed by regression method using the Minitab software program for multiple linear regression. The requiring dependent variable (y) was the energy produced from the photovoltaic module. The four independent variables were solar irradiation (x1), ambient temperature (x2), module temperature (x3) and wind velocity (x4). For prediction preciscion, all the predicted equations were validated with the new gathered data from 1st January 2019 – 30th June 2019. The analysis results showed, the forecasting model together with the appropriate predicted equation with the highest coefficient of determination (R2 of 0.9873) and the standard deviation of prediction (S = 2.67%). This predicted equation, ŷ = 5258 + 5310.0 x 1 - 100.31 x 2 + 66.2x 4, consisted of the three external independent variables; solar irradiation, ambient temperature, and wind velocity. The independent variable sensitivities were also determined. The solar irradiation was the most sensitive to the predicted equation. Moreover, this predicted equation would be suggested to utilize as the estimator for the energy produced from the new photovoltaic power plant to be installed at the north-eastern part of Thailand.
Photothermal effect of Copper Sulfide Nanoparticles in Skin Defects in mice

Photothermal therapy is a non-invasive or minimally invasive, controllable, and has with good antimicrobial efficiency, while the main thing about skin defects is the prevention of bacterial infection as well as rapid repair and healing. Compared with drug therapy, photothermal therapy has the advantages of convenience and no side effects. In this paper, we mainly synthesize a copper sulfide nanoparticle with photothermal effect and wrap it in biocompatible mesoporous silica to make it work to the maximum extent. We It can be concluded from the data obtained from the defect experiments in mice animals that the skin defects in the mice after irradiated with NIR light take took less time to repair and heal than those mice not irradiated with NIR, so it can be shown that Photothermal photothermal treatment plays an important role here.
Evaluation of the Performance of ImageJ, Leaf Doctor Applications, and Visual Assessments in Measuring Severity of Two Leaf Spot Diseases

In this research, reliability for disease severity assessment was compared for two different digital imaging quantifying techniques (ImageJ and Leaf Doctor applications) and visual assessments included ImageJ (IJ), Leaf Doctor (LD) applications, and visual assessments (VA) for the downy mildew of lettuce and Cercospora leaf spot of chard. Samples of infected chard leaves with symptoms of Cercospora leaf spot disease and lettuce leaves with symptoms of downy mildew were randomly collected from a field and a grocery in Al Anbar Governorate, Iraq. Each leaf was shot with iPhone 8 plus, provided with Dual 12 MP Camera, f1. 8, 28mm (wide), and f 2.8 (telephoto). The percentage of the diseased tissue of each shot was subjected to visual analysis and the ImageJ (IJ), Leaf Doctor (LD) applications. The measurements for them were subject to statistical analyses. Generally the results revealed a compatibility in the performance of the evaluated methods for the both diseases. There was positive and significant correlation coefficients between the measurement results of the VA and the LD for the downy mildew of lettuce (r= 0.664 ) and the Cercospora leaf spot of chard (r = 0.8990 ). Regarding the correlation between the IJ measurements and that of either VA or the LD revealed to be weak for both diseases. There were also linear regressions obtained only between the VA and the LD measurements (R2 = 0.441 for downy mildew and R2 = 0. 809 for Cercospora leaf spot). The results of other experiment indicated positive correlation coefficients between the upper and lower disease severity measurements regardless the assessments methods for both diseases. The highest correlation coefficients and linear regression were found for the AV measurements (r =0. 936, R2 = 0.876 and r = 0.996, R2 = 0. 992 for lettuce and chard respectively) followed by that of the LD (r = 0.908, R2 = 0.824 and r = 0.835, R2 = 0.697 for lettuce and chard respectively). This research indicates that the LD application is easier, faster and more reliable and accurate for disease severity measurements regardless the disease and its severity.
CT Guided Diagnosis: Cascaded U-Net for 3D Segmentation of Liver and Tumor

Volumetric estimation of the liver tumor is the first step to identifying the livers critical disorder. The liver and its tumor ratio prerequisite measures to select the therapeutic procedure. 3D printing and virtual reality platform require a segmented liver entity mask to evaluate the pre and post-treatment analysis. A cascaded U-Net model is proposed for automatic segmentation of liver and tumor in CT images. LiTS CT data set utilized for this study. The images were pre-processed using the windowing technique for contrast enhancement. Two U-Net models were modified for liver and tumor segmentation, respectively and connected in a cascaded manner. U-Net decoder end was modified in comparison to the original U-Net. The probability map of the first U-Net fed to the second U-Net and the input image to segment out the liver tumor. Eight subject volumetric CT datasets were utilized to test the cascaded U-Net performance and achieved average Dice coefficient for liver and tumor 0.95 and 0.69, respectively. Liver tumor diagnosis and treatment accuracy depend upon the precision of segmentation algorithms. Designed model segmented liver almost accurately and tumor segmented with limited accuracy. A further modification is required for the tumor segmentation cause of the occurrence of false negative.
A Deep-learning Based Computer Framework for Automatic Anatomical Segmentation of Mouse Brain

In the research of neuroscience, it is significant for quantitative analysis based on accurate brain regions segmentation. A deep-learning enabled computer framework have been developed that can automatically segment fluorescence microscopy image data of mouse brain into several anatomical brain regions. Our approach includes an optimized registration algorithm for readily providing training datasets and a semantic segmentation neural network to infer brain regions efficiently. Using our deep-learning model, we can directly obtain the segmentation results of 18 brain regions in real time, and at high accuracy with averaged mean Dice value over 0.85.
Identification of user profiles in online social networks: a combined approach with face recognition

This paper suggests improving the previously existing method of identifying user profiles in different online social networks by adding face recognition results to the model. It is assumed that the method will become more stable for identifying people with the same name, city and age. It will help to find more user profiles in different online social networks, which will improve the estimation of their personal characteristics. Evaluating user personality traits is one of the key tasks in protecting employees of enterprises and companies from social engineering attacks.
Stability of Railway Embankment in Saturated and Unsaturated Conditions

Slope failure is a vital issue in civil engineering infrastructures. Besides, climate change implications made this problem more critical. Therefore, in this study, a railway embankment’s slope stability has been studied in saturated and unsaturated conditions. The soil sample was collected from Universiti Teknologi Malaysia, Johor Bahru. The necessary and required data obtained through lab experiments. The obtained data from lab experiments then used in Seep/W and Slope/W to model the railway embankment numerically. The results obtained from this study indicate that rainfall infiltration plays a vital role in the safety factor value. The obtained results also depicted that both rainfall intensity and duration play an important role in slope stability. The factor of safety showed a declining pattern with increasing rainfall and duration of rainfall. The safety factor decrement occurred since the matric suction was reduced (negative pore water pressure) by rainfall infiltration. Besides, the safety factor decrease was more acute when train load was applied in a rainy period. Thus, it is suggested that in a long period of rainy time, the railway authorities should stop the train operation, or the embankment stability should be increased using some stabilizations methods in the planning and designing stage.
Research on battlefield target recognition method based on machine learning

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