Miracle-dz/UniFAR-FTUs huggingface dataset:
Organic Stabilization and Nitrogen Removal in Membrane Separation Bioreactor for Domestic Wastewater Treatment

In this study, organic stabilization and nitrogen removal were investigated using a household type hollow fiber membrane separation bioreactor of 6 2 1 volume. The process employed direct solid-liquid separation by hollow fiber membrane inside an activated sludge aeration tank. By providing highly turbulent conditions within the separation zone in conjunction with Jet aerating installation inside the membrane module, sludge accumulation on the membrane surface and inside the module can be reduced. Permeate flux obtained after 330 days of operation was 0.2 m/d under intermittent suction. High degree of organic stabilization was obtained in the system by operation without sludge wastage except for sampling purposes. Continuous and intermittent aeration modes were investigated in the study. The average effluent COD concentration of 20.8 and 16.5 mg/l were observed during continuous and intermittent aerating application respectively. Degree of nitrification depended upon DO concentration of mixed liquor during aeration period. Introduction of intermittent aeration enhanced total nitrogen removal up to 80% or more by simultaneous nitrification and denitrification, resulting in average of 4.9 mg/l of total nitrogen in the effluent. Increase in DO in aeration period from 1.5–2 mg/l to 4–5 mg/l improved percentage of nitrogen removal to more than 90%. Rejection of 4–6 log virus concentration by gel layer formed on the membrane surface was also observed.
An Investigation of the Effectiveness of Emotionally-Focused Couple’s Group Therapy (EFCT) on Relational Aggression of Couples with Breast Cancer in Wives: A Semi-Experimental Study

Introduction: Because of the nature of cancer and related hormonal changes, as well as the conditions resulting from stress tolerance, relational problems and aggression are major problems facing couples with breast cancer in wives. The aim of this study was to investigate the effect of emotionally focused couples therapy (EFCT) on relational aggression in couples with breast cancer in wives. Methods: This study was conducted with a pretest-posttest design and a control group. Twenty-two couples meeting the inclusion criteria were selected by convenience sampling from among people with breast cancer living in Tehran and randomly assigned to the experimental and control group. The experimental group received a 6-session (120 minutes per session) intervention of an adapted version of emotionally focused group therapy for couples (HMT). This intervention was meant to improve the psychological and relational indicators related to the quality of life of couples where the female partner was diagnosed with, or had a recurrence of, breast cancer and was in active treatment process or had gone through the treatments. The control group did not receive any intervention. Both groups answered the Buss-Perry Aggression Questionnaire (29-item instrument to measure physical aggression, verbal aggression, anger, and hostility) before and after the intervention. Analysis of covariance was used to evaluate the effect of treatment. Results: The experimental group demonstrated a decline in the mean of all factors after receiving the training program, as compared to the control group. The decrease was 11.01 points for physical aggression, 5.78 for verbal aggression, 8.37 for anger, and 10.95 for hostility. In contrast, the control group had a decrease of 0.41 points in anger and 0.17 points in hostility factors. The control group also displayed an increase of 0.06 points in the mean scores on both physical and verbal aggression components. Analysis of covariance revealed that EFCT had a significant decreasing effect on all the components of aggression in the experimental group as compared to the control group (P < 0.01). Conclusion: Through the education of correct mutual emotional understanding for couples and creating an atmosphere of trust and communication between them, EFCT intervention provides a ground for increasing marital satisfaction and reducing aggression in couples coping with breast cancer in wives. Accordingly, the intervention can be used to improve the quality of marital relations.
Channel response to a dam‐removal sediment pulse captured at high‐temporal resolution using routine gage data

In this study, we captured how a river channel responds to a sediment pulse originating from a dam removal using multiple lines of evidence derived from streamflow gages along the Patapsco River, Maryland, USA. Gages captured characteristics of the sediment pulse, including travel times of its leading edge (~7.8 km yr−1) and peak (~2.6 km yr−1) and suggest both translation and increasing dispersion. The pulse also changed local hydraulics and energy conditions, increasing flow velocities and Froude number, due to bed fining, homogenization and/or slope adjustment. Immediately downstream of the dam, recovery to pre‐pulse conditions occurred within the year, but farther downstream recovery was slower, with the tail of the sediment pulse working through the lower river by the end of the study 7 years later.
Correlation feature and instance weights transfer learning for cross project software defect prediction

ion DIT Depth of inheritance tree. NOC The number of public methods in a given class. MFA Measure of functional abstraction. Encapsulation DAM Data access metric. ZOU ET AL. 61 test at the 95% confidence level. The Friedman test assesses whether there are statistically significant differences among different predictors. The statistics of the Friedman‐test is written as follows: τχ2 1⁄4 12n mðmþ 1Þ ∑ m i1⁄41 R ̄ 2 i − mðmþ 1Þ 4 !
Modular product architecture implementation and decisions on production network structure and strategic plant roles

Abstract Any novelty in product architecture design will condition key aspects of production systems and production networks and will involve facing different challenges when implemented. Through a longitudinal case study (2013–2020) in the European production networks of three automobile manufacturers, this paper analyses the implementation process for their new modular platforms. The results show that production network performance is not derived from product design per se. It is mainly conditioned by the production network structure and strategic roles assigned to plants in the implementation process. Networks resulting from the implementation of the new modular architecture are characterized by their geographical dispersion and high number of alternative plants for production, which allow greater operational flexibility to transfer and share manufacturing resources internationally. The implementation of automobile modular platforms has been characterized by a shareable production system, the same value-added activities distribution in the production network and the assignment of a strategic role to some plants as production hubs for specific models.
Research Summary of Anti-debugging Technology

Software protection technology has always been the most powerful weapon against malicious reverse engineering, and anti-debugging technology is the top priority among them. This article will give a detailed introduction to the anti-debugging technology, classify it according to the implementation principle, discuss the different execution strategies in each category. Finally, summarize the anti-debugging technology from the three perspectives of complexity, resistance and universality, and analyze their respective advantages and disadvantages.
The electronic structure, elastic and optical properties of Cu2ZnGe(SexS1 − x)4 alloys: density functional calculations

ABSTRACT The electronic structure, elastic and optical properties of Cu2ZnGe(SexS1 − x)4 alloys are systematically analysed using first-principles calculations. The lattice parameters agree well with the theoretical and experimental values which are searched as complete as possible indicating our calculations are reliable. The elastic properties are investigated first and are compared with the similar compounds CZTS and CZTSe due to the unavailable experimental data currently. The variation of the optical properties caused by the increase of Se/S ratio is discussed. The static optical constants are calculated and the corrected values are also predicted according to the available experimental data.
Impacts of crop level, soil and irrigation management in grape berries of cv ‘Trincadeira’ (Vitis vinifera L.)

ABSTRACT Berry size and crop yield are widely recognized as important factors that contribute to wine quality. The final berry size indirectly affects the phenolic concentration of the wine due to skin surface-to-berry volume ratio. The effects of different irrigation levels, soil management and plant crop level on growth of ‘Trincadeira’ berries were studied. In order to test the influence of different irrigation levels (rainfed, pre-veraison and post-veraison), different soil management (tillage and natural cover crops) and different plant crop levels (8 and 16 clusters per vine), leaf water potential, skin anthocyanin, polyphenols, berry skin and seed fresh weight were measured in fruits. The segregation of berries into three different berry classes: small, medium and large, allowed to identify different levels of contribution of soil management and irrigation level into berry, skin and seeds ratios. As expected, higher water availability due to irrigation and soil tillage management during berry development induced an increase in berry flesh weight and this was more evident in larger berries; however, berry skin and seed fresh weight remained unchanged. Also, anthocyanins did not show significant differences.
Risk-Informed Benefit–Cost Analysis for Homeland Security R&D: Methodology and an Application to Evaluating the Advanced Personal Protection System for Wildland Firefighters

Abstract This article describes a methodology for a risk-informed benefit–cost analysis that includes (i) risk analysis to quantify risk reduction benefits and (ii) uncertainty analyses to quantify probability distributions over costs and benefits. It also summarizes the lessons from 25 applications of this methodology to evaluate R&D projects of the Science and Technology Directorate of the Department of Homeland Security. The article then illustrates the methodology with a specific application to evaluate the benefits and costs of the Advanced Personal Protection System (APPS), a new garment system developed to protect wildland firefighters. The goals of the APPS project were to reduce risk and to improve comfort. The cost analysis revealed that the APPS garments are more expensive by about $279 per garment system. Total costs were roughly $7.3 million, including the upfront project cost and the increased 5 year cost of purchasing the APPS. Benefits from reduced injuries and fatalities resulted in 5 year benefits of about $19.3 million, with an NPV of $13.6 million in 2019 dollars. In the base case, the benefit–cost ratio was 2.87 and the return on investment was 187 % over 5 years. Taking the perspective of a decision-maker when the project was first funded in 2011, NPVs are $11,993,728, $10,025,519, and $7,967,479 in 2011 dollars for discount rates of 0, 3, and 7 % respectively. An uncertainty analysis of the NPV showed a large variability, ranging from the 5th percentile of $6.4 million to a median of $19.3 million to the 95th percentile of $43.7 million in 2019 dollars. This large range was primarily due to the uncertainty about the reduction of fatality and injury risks and the market penetration rates of the new garments.
Enhancing of asphaltene adsorption onto Fe3O4 nanoparticles coated with metal-organic framework Mil-101 (Cr) for the inhibition of asphaltene precipitation

ABSTRACT In this study, the potential of MOF (Mil-101-Cr)-coated Fe3O4 magnetic nanoparticles (Fe3O4-MOF MNPs) for asphaltene adsorption was investigated for the first time and the results were compared with magnetic Fe3O4 nanoparticles (Fe3O4 MNPs). The coprecipitation method was used for the synthesis of both nanoparticles and were verified using x-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and field emission scanning electron microscopy (FE-SEM). The initial asphaltene concentration, nanoparticles concentration, and temperature were the investigated parameters that influenced the adsorption capacity. Increasing the asphaltene concentration, decreasing the mass of nanoparticles, and reducing the temperature could enhance the maximum asphaltene adsorption capacities of 0.79 for Fe3O4 MNPs and 0.98 mg m−2 for Fe3O4-MOF MNPs. Adsorption isotherms tests showed that the Langmuir model was in agreement with the experimental data. In addition, the evaluation of adsorption kinetics demonstrated that the pseudo-second-order Lagergren model predicted the results more precisely. The amount of asphaltene adsorption for Fe3O4-MOF MNPs was higher than that for Fe3O4 MNPs. These results recommend the application of MOF as an appropriate and effective coating for enhancing asphaltene adsorption. GRAPHICAL ABSTRACT
A Statistical Technique for Modelling Dissolved Oxygen in Salt Lakes

Abstract An integrated linear regression technique was developed and validated to model dissolved oxygen in salt lakes by using R software and based on data from Sawa Lake, Iraq. The technique helps understand and evaluate salty aquatic ecosystems in the presence of water quality data gaps. The technique involved selecting the important water quality parameters that have significant statistical relationship with dissolved oxygen. In order to make the regression development simpler, the validation approach was incorporated with the model. Linearity, homogeneity, normality, outliers, and influential data points were verified. The simulation approach was also capable of displaying the interaction between the selected water quality parameters and the other insignificant parameters. The statistical analysis results indicated that dissolved oxygen in salt lakes is a function of total dissolved solids. The developed model represented dissolved oxygen with R-squared of 90.73% and p-value of 1.08E-06. Furthermore, the model results showed that the influence of salty ions on dissolved oxygen/total dissolved solids model is the same. It was found that temperature has a significant impact on the developed dissolved oxygen model. In addition, the model simulation revealed that salt melting surrounding the lake due to temperature variation during the year cycle increased total dissolved solids in the lake water. Consequently, the lake dissolved oxygen levels were impacted.
STUDI KARAKTERISASI LAJU KOROSI LOGAM ALUMINIUM DAN PELAPISAN DENGAN MENGGUNAKAN MEMBRAN SELLULOSA ASETAT

Korosi terjadi akibat adanya reaksi oksidasi dan reduksi antara material dengan lingkungannya. Reaksi oksidasi diartikan sebagai reaksi yang menghasilkan elektron dan reduksi adalah antara dua unsur yang mengikat elektron . Korosi merupakan peristiwa yang tidak mungkin dielakan dalam kehidupan baik dalam lingkungan industri maupun rumah tangga. Korosi tidak dapat dihilangkan, namun dapat dikendalikan lajunya. Secara teoritis, menurut tabel deret volta, Aluminium merupakan logam yang mudah terkorosi. Pada penelitian ini dilakukan upaya untuk mengkarakterisasikan jenis korosinya dengan menggunakan media asam lemah (asetat), asam kuat (HCl), dan basa kuat (KOH). Pada percobaan dengan menggunakan media asam lemah (asetat), korosi yang terjadi adalah korosi sumuran (pitting corrosion). Pada percobaan menggunakan media asam kuat (HCl), pada konsentrasi rendah yang terjadi adalah korosi sumuran, sedangkan pada konsentrasi tinggi yang terjadi adalah korosi erosi. Salah satu metode pencegahan terjadinya korosi yaitu dengan menggunakan metode pelapisan (coating). Pada penelitian ini, upaya yang dilakukan untuk memperlambat laju korosinya adalah dengan cara melapisi logam dengan “Sellulosa Asetat”(CA). Sellulosa asetat terdiri dari powder sellulosa dilarutkan dengan asam asetat 99%, kemudian diaplikasikan pada logam aluminium. Hasil percobaan perendaman dengan media asam asetat, yang terjadi adalah bahwa sellulosa asetat membuat laju korosi semakin meningkat sebesar 54% dibanding sebelum dilapisi. Pada percobaan perendaman dengan menggunakan asam HCl, sellulosa asetat mampu memperlambat laju korosi sebesar 47.479%. Dan pada percobaan perendaman dengan larutan KOH, efisiensi inhibisinya mencapai 255% lajunya lebih cepat dibandingkan sebelum dilapisi. Hal ini terjadi dikarenakan adanya proses deasetilasi dimana proses ini adalah proses terputusnya gugus asetil pada membran sellulosa asetat sehingga kemampuan menempel pada permukaan logam menjadi menurun.
Research on Contour Feature Extraction Algorithms for Arc-shaped Groove of Safety Seat Base

The spatial position of the seat base is complicated. The contour structure of arc groove is complex and its contour feature extraction is difficult. Aiming at the above problems, this paper presents an improved corner detection algorithm based on Curvature Scale Space (CSS), which uses adaptive local curvature and dynamic angle threshold to accurately extract corner points of arc groove contour. The correct corner positioning error of the algorithm proposed in this paper is only 0.99 pixel. The experimental results show that this method can effectively implement contour feature extraction.
Coquasitriangular infinitesimal BiHom-bialgebras and related structures

Abstract We present the notion of mixed BiHom-bialgebra and then give the characterizations of coquasitriangular mixed BiHom-bialgebra, which induces the concepts of coassociative BiHom-Yang-Baxter pair and coassociative BiHom-Yang-Baxter equation. As a byproduct, we obtain coquasitriangular infinitesimal BiHom-bialgebra. Rota-Baxter BiHom-cosystem is also introduced as a generalization of Rota-Baxter coalgebra and its solutions can be provided by coassociative BiHom-Yang-Baxter pairs. Furthermore we investigate the relations among coassociative BiHom-Yang-Baxter pair, Rota-Baxter BiHom-cosystem, -Rota-Baxter cosystem, BiHom-dendriform coalgebra, BiHom-pre-Lie coalgebra, Rota-Baxter paired BiHom-comodule, etc.
24.1: Invited Paper: Effect of stereoscopic depth on visual fatigue

The effect of stereoscopic depth on visual fatigue was investigated. We compared visual fatigue parameters induced by watching same 3D movie with different depths presented on Sony BRAVIA LCD 3DTV. The results showed that watching 3D enhanced mode movies resulted in more visual fatigue and discomfort significantly than 3D normal mode movies.
ASYMMETRY IN EXPERIMENTS TESTING CPT IN ORTHO-PS DECAY

Atom of positronium (Ps) – the bound state of an electron and a positron, has two ground states: singlet (para-Ps) and triplet (ortho-Ps). In this paper we consider asymmetry in the CPT test experiments performed using polarized ortho-Ps decay. Ortho-Ps annihilates dominantly into three gamma rays with the continuous energy spectrum in the range (0-511) keV. In searching for decays of ortho-Ps which violate CPT symmetry, the correlation ) x ( 2 1 k k S r r r ⋅ was tested, where S r is the ortho-Ps spin, and 1 k r
Enhanced Algorithm for Bio Metric Based Secret Data Hiding

Distributed illustration is used for compression method. For a replacement given fingerprint pictures, represent its patches in line with the wordbook by computing l0-minimization then quantize and cipher the illustration. Experiments additionally illustrates that the algorithmic program is robust to extract trivia. This algorithmic program is economical compared with JPEG, JPEG 2000 and WSQ. All previous strategies have ompressed fingerprint pictures. then compressed pictures 2 finger combination primarily based new finger print produce for prime secure privacy protection. a very distinctive system for shielding fingerprint privacy by combining 2 totally different fingerprints into a replacement identity for authentication. And additionally to classify the coaching samples ought to embrace fingerprints with totally different.
Secure data sharing for mobile cloud computing using RSA

Mobile cloud computing (MCC) refers to an infrastructure in which data processing and storage can take place far from mobile devices. The convergence of compact registration and network distributed computing has created scalable distributed computing. This technology provides consumers a number of points of interest, similar to storage limits, reliability, scalability and access to real-time information. As a result, it is expanding steadily and is undoubtedly organised into a daily day-to-day life. The Cloud servers can be used for the preparation and storage of information.However, in the current conditions, the secrecy of photos and information is generally important. In this paper, we concentrate mainly on the safe re-appropriation of photographs.
Novel Dataset Generation for Indian Brinjal Plant Using Image Data Augmentation

Machine learning and deep learning have performed outstandingly in many computer tasks to tackle various real-world problems like disease prediction on plants etc. But unfortunately, there are many research areas like disease prediction in the agricultural crops where there is a lack of large-good quality real-world datasets. One way to solve such a problem is by using an available dataset from the internet. The problem of using an available dataset from the internet creates lots of issues. Major issues are using the dataset from different geographical locations which are deployed at other location, model overfitting due to small-sized dataset etc. The main purpose and experimentation done in this research paper are presenting different techniques to increase the size of the Indian Brinjal dataset so that deep learning models can be improved. Here data augmentation techniques to enhance the small-sized image dataset using rotation, channel shift, width shift, height shift, shear transform, brightness, scaling, uniform aspect ratio, zoom, horizontal flipping, and vertical flipping methods are used. At last, a huge high-quality training dataset of size 39,010 is generated from 350 sample images taken from the real field and 1356 high-quality images are generated to validate the model using above mentioned data augmentation techniques.
Algorithm of Vehicle’s Data Cleaning and Monitoring

The aim of this paper is to screen out abnormal data which is caused by human factors and natural factors. We proposed an algorithm of vehicle’s data cleaning and monitoring. First, the valid data is filtered out by an improved DBSCAN method, through data analysis, and then get the threshold range. After that, it screens out the abnormal data in the valid data through the threshold range. Finally, the abnormal data is classified and counted according to the factors which was stipulated by the enterprise. The results show that the proposed algorithm can simpler and faster to process the abnormal data than the other similar algorithm.