Miracle-dz/UniFAR-FTUs huggingface dataset:
Pencabutan Public Service Obligation pada Kereta Rail Listrik dan Kinerja Finansial Operator

The issue of Public Service Obligation for Jabodetabek Commuter Line is indicated off-target due to 60% of its users are considered employed or have income. However, the Obligation is one of the revenue sources for railway operators. The retraction of the Obligation could reduce the railway operators’ overall revenue. This study analyzes the effect of the retraction of Public Service Obligation to the financial of Jabodetabek commuter line operators. The method used in the study was by simulating the passengers’ volume and income based on the elasticity of passengers to the fare changes. The results show that the volume of Jabodetabek Commuter Line users of the employed or have income groups will not be significantly affected by the retraction of Public Service Obligation due to their ability in paying and their inelasticity commuter line trip. The simulation also shows that the revenue from other tariff aside from the Public Service Obligation is the largest compared to other revenue sources with a fairly high elasticity value (-0.6). The result indicates that other tariffs aside from Public Service Obligation are potential to be the commuter line operators’ major revenue.
Design of MnS@MWCNT Nanocomposite Cathode for Ultra-high Efficient Supercapacitors

The aim of this study was to investigate the usability of MnS (Manganese Sulfide) nanoparticlesin supercapacitor applications. MnS nanoparticles were synthesized using the microwave synthesis method.Additionally, a multi-walled carbon nanotube (MWCNT) was incorporated into the MnS structure toprepare MnS@%10MWCNT. The microwave synthesis method was chosen due to its fast, energy-efficient,and easily controllable synthesis process. The size and morphological properties of the synthesizednanoparticles were determined using analytical techniques such as X-ray diffraction (XRD) and scanningelectron microscopy (SEM). The results demonstrated that the microwave-synthesized MnS nanoparticlespossessed a crystalline structure and a homogeneous distribution. The incorporation of MWCNT wasconfirmed through SEM images and XRD analysis. Subsequently, the usability of the synthesized MnS andMnS@%10MWCNT nanoparticles in supercapacitor applications was evaluated. The supercapacitorperformance was examined using electrochemical characterization methods such as cyclic voltammetry andcontinuous charge-discharge tests. The results of the study revealed that MnS nanoparticles exhibited highcapacitance and fast charge-discharge characteristics in supercapacitor devices. Furthermore, it wasobserved that the capacitance and stability increased with the incorporation of MWCNT. This studydemonstrates the potential of MnS and MnS@%10MWCNT nanoparticles in energy storage. Themicrowave-synthesized MnS and MnS@%10MWCNT nanoparticles highlight their potential insupercapacitor applications. These findings represent an important step towards the expansion ofnanomaterials' utilization in energy storage and the development of more efficient supercapacitor devices.
Individual Adherence to Inquiry-Oriented Norms of Defining in Advanced Mathematics.

This study investigates students’ individual patterns of adherence to a norm for creating and assessing definitions in an undergraduate real analysis classroom. Our findings indicate that, though all students understood the expectation to define, students differed in their individual adherence to the norm depending upon their perception of the nature of the defining activity and their associated role in the classroom. While some students primarily attributed the expectation to define to the teacher (taken-as-expected), others understood the expectation as truly shared as a means toward classroom learning (taken-as-beneficial). A third group of students internalized the expectation as a means of their membership in the mathematical community (taken-asmeaningful) and were therein willing to challenge the professor’s defining choices in light of their values for mathematical defining.
Polarization tuning for high-fidelity fiber-coupled single photon sources

The performance of single photon sources based on single quantum dot emitters coupled to microcavities is analyzed with respect to different conditions of polarization. Electro-optic tuning is shown as a method to tune microcavities with distributed Bragg reflector mirrors into polarization degeneracy. Typically, for large cavity polarization splitting, excitation in the linearly polarized cavity modes is the only viable method for resonantly driving a single photon source. However, polarization degenerate cavities allow for arbitrary polarization conditions. A semi-classical model is used to analyze the performance of single photon sources under different polarization conditions. Further, the effect of residual cavity polarization splitting is analyzed under pulsed excitation.
The technology of image matching by the criterion of conformity of image fragments samples

In this paper we considered the image matching problem. The problem is solved in the framework of an area approach based on the comparison of image fragments in the neighborhood of the points being compared. We proposed a new criterion of image fragments similarity based on the principle of image fragments samples conformity. An important advantage of the method is the possibility of comparison of very small image fragments. However, computation of this criterion is very time-consuming. So, we proposed parallel algorithm of conforming image matching using MPI. We evaluated acceleration and efficiency of parallel algorithm. The results of experiments on the “Cones” test images show high accuracy of the method.
The koala retrovirus: lessons learned from the koala genome. In Proceedings of the Second Koala Retrovirus Workshop, ed. D. E. Alquezar-Planas, D. P. Higgins, C. L. Singleton, and A. D. Greenwood

The establishment of the Koala Genome Consortium in 2013 culminated in the publication of the first fully assembled koala genome. An international initiative involving 29 institutes across the globe, the publication has led to a much greater understanding of koala biology including knowledge on gene families putatively associated with detoxification of eucalypt leaves and the species’ ability to taste and smell plant secondary metabolites. Similarly, the genomic resource has enabled comparative assessments facilitating immunogenomics, population genomic analysis, and, for the first time, genome-wide assessments of the koala retrovirus (KoRV). This summary outlines how the koala genome has increased our capacity to understand the genetics of KoRV—from a deeper understanding of KoRV viral subtypes and their recombinants to preferences for viral integration across the host genome.
Effect of changes in soil moisture on agriculture soils: response of microbial community, enzymatic and physiological diversity

Global warming-induced drought stress and the duration of changes in soil moisture content may reshape or complicate these ecological relations. Biological activity could be affected severely by the impact of drought on agricultural ecosystems. In this study, 4 agricultural different soils were collected, and analyzed at each time gradient (0, 1, 2, 4, 8th week) to determine the physicochemical parameters, microbial abundance, enzyme activities (dehydrogenases (DH), phosphatases (acid ACP and alkaline ALP) and urease (UR)), and physiological diversity. We found that soil physicochemical properties fluctuated within the time gradient in all sites, but significantly decreased in total organic carbon, available phosphorus (P2O5 Olsena), nitrate (NO3-), ammonium (NH4+) (except for S site) and calcium carbonate (CaCO3) content (except for L site). Overall, ALP activity was higher compared to ACP activity. The DH activity was highest at sampling day (high moisture content) in G and N sites, and at 2nd week for L and S sites, but significantly decreased at the end of the experiment. The UR activity decreased significantly in G, L and N sites but increased in S site at the end of our experiment compared to the sampling day. Overall, the physiological diversity of the microbial community was strongly affected by water stress in the utilization of carbohydrates, carboxylic and acetic acids, amino acids, polymers, and amines, in all sites. Our findings highlighted that the short-term duration of drought stress had a significant influence on soil biological activity. This may improve the understanding of impact of soil moisture changes on soil nutrient cycling and biological activities in agricultural ecosystems.
Blind motion image deblurring using nonconvex higher-order total variation model

Abstract. We propose a nonconvex higher-order total variation (TV) method for blind motion image deblurring. First, we introduce a nonconvex higher-order TV differential operator to define a new model of the blind motion image deblurring, which can effectively eliminate the staircase effect of the deblurred image; meanwhile, we employ an image sparse prior to improve the edge recovery quality. Second, to improve the accuracy of the estimated motion blur kernel, we use L1 norm and H1 norm as the blur kernel regularization term, considering the sparsity and smoothing of the motion blur kernel. Third, because it is difficult to solve the numerically computational complexity problem of the proposed model owing to the intrinsic nonconvexity, we propose a binary iterative strategy, which incorporates a reweighted minimization approximating scheme in the outer iteration, and a split Bregman algorithm in the inner iteration. And we also discuss the convergence of the proposed binary iterative strategy. Last, we conduct extensive experiments on both synthetic and real-world degraded images. The results demonstrate that the proposed method outperforms the previous representative methods in both quality of visual perception and quantitative measurement.
Evaluation of β-lactamases and Molecular Typing of Pseudomonas aeruginosa Clinical Strains Isolated from Hospitalized Children in Tehran

Background: The opportunistic human pathogen, Pseudomonas aeruginosa, is a critical cause of nosocomial infection with high morbidity and mortality rate. Eradication of P. aeruginosa has been troublesome due to its high capacity to develop strong multidrug resistance (MDR). Objectives: The purposes of this study were to define the pattern of antimicrobial sensitivity, typing, and prevalence of metallo-β-lactamase (MBL) and detect the oprD, blaCTX-M, blaSHV, blaTEM, blaIMP, blaNDM, and blaVIM among clinical isolates of P. aeruginosa collected from Tehran hospitals. Methods: Clinical isolates were collected from hospitalized children in selected hospitals in Tehran from March 2019 to February 2020. The antimicrobial susceptibility test (AST) was performed by the Kirby-Bauer disk diffusion method. Composed disc diffusion tests were performed to screen MBL production. MBLs and extended-spectrum β-lactamases (ESBL) encoding genes were amplified by polymerase chain reaction (PCR). Amplification of the oprD gene were performed for carbapenem-resistant P. aeruginosa. Random amplified polymorphic DNA (RAPD-PCR) Fingerprinting was used for genotyping the isolates. Results: A total of 80 P. aeruginosa isolates were collected. Isolates were resistant to cefepime 35%, ceftazidime 20%, ciprofloxacin 22%, tazobactam 16%. Out of 80 isolates, 16 were carbapenems-resistant. Gentamicin, tobramycin, and amikacin had the highest susceptibilities of 85%,90%, and 90%, respectively. OprD, blaCTX-M, blaSHV, and blaTEM were detected in 80(100%), 36(45%),22 (27.5%), 17 (21.25%), and 1 (1.25%) blaIMP and blaNDM, respectively. In this study, the blaVIM gene was not detected in the isolates, and no mutation was observed regarding the presence of an insertion element in the OprD gene. Isolates were divided into 13 and 14 common and single types, respectively. Conclusions: P. aeruginosa isolates showed a high rate of β- lactamases production, and the prevalence of carbapenem-resistant, which can be related to different mechanisms, was alarming. On the other hand, the results demonstrated that there was beta-lactam antibiotic resistance and clonal spread among the hospital population. This shows the necessity of molecular surveillance in tracking beta-lactamase-producing strains.
Results of the research of algorithm creating capabilities using convolutional neural network

The current technological momentum indicates that demand will soon rise for programmingskills. For this reason, finding young individuals with these skills and orienting them towards programmingrelated career paths will be highly important. In our research, we developed an age and programmingknowledge independent system, which can help to identify talented youngsters. Before filling the test, wecollected information through an anonymous survey about the test subjects’ IT knowledge, which can helpidentify further correlations at the time of result evaluation. First we had to create a measurement systemwhich will provide objective test results about the children’s algorithmic thinking. We developed a webapplication that is responsive with a camera which follows the client eye moving and gather data into ourdatabase. This data is then passed into a machine learning algorithm to create a model and from it we couldread our conclusions. The main goal of machine learning using convolutional neural network is predictinghow the algorithmic thinking will develop in the case of children. We used a more game-like approachbecause it is more natural to children to think when they think they are playing some game. The game is asimple but effective LED lightning game and is very similar to a memory-based game.
Geographically Weighted Regression to Predict the Prevalence of Hypertension Based on the Risk Factors in South Kalimantan

Hypertension is one of the disease is not contagious diseases which is a public health problem. Uncontrolled Hypertension can trigger a degenerative diseases such as congestive heart failure, renal failure and vascular disease. Hypertension is called the silent killer because his nature the condition is asymptomatic and can cause a fatal stroke. With the increasing prevalence of cases of degenerative diseases, one only hypertension, then the researchers want to predict the variables very big role as one of the risk factors of Genesis hypertension. With clearly know the risk factors that play against genesis hypertension is expected to be used as a reference for the prevention and control so that they can reduce the prevalence of hypertension and prevent deaths from degenerative diseases, especially hypertension. The results of the study showed that the results of the modeling the prevalence of hypertension in South Kalimantan Province using linier regression there is no factor that affect the genesis of hypertension. The prevalence of hypertension spread spatially because there are heterogenitas between the location of the observation that means that observations of a location depends on the observations in another location that the distance is near so do spatial regression modeling with Adaptive Gaussian kernel function, meghasilkan 5 groups. Group I consists of the districts Tanah Laut and Tanah Bumbu; group II, Kota Baru; Group III consists of Banjar, Kota Banjar Baru, Kota Banjarmasin; Group IV on the Barito Kuala Regency and the Group V consists of Tapin, H S Selatan, H S Tengah, H S Utara, Tabalong, Balangan.
Violence against a backdrop of colours? Ethnographic insights into tensions between urban transformation and ongoing violence in marginalised neighbourhoods

Since the early 2000s, the two largest cities in Colombia have been lauded as success stories of urban transformation. However, there is a tension between urban transformation narratives disseminated in international media and political discourse, and the realities of ongoing violence and insecurity. Drawing on ethnographic research following creative arts projects, this article offers empirical detail on how people negotiate this tension in marginalised urban neighbourhoods, which are often the most affected by overlapping forms of violence while being key sites of transformation policies. Through in-depth interviews and participant observation in Bogotá and Medellín, we show the complexities of how grassroots creative projects both mobilise transformation politics and negotiate violence in everyday life. By focusing on the local scale, we consider both the important gains that have been made since urban transformation became a key tenet of local government policy, particularly around challenging stigma, and the challenges that local populations continue to face. Ultimately, we argue that the experiences of the creative organisations we speak to reflect the need to negotiate ongoing structural violence and fluctuating support from the state. In contrast to depoliticised transformation narratives, this has implications for understanding the state’s role in the reproduction of violence in everyday life and appreciating the limitations of aesthetic transformation in marginalised urban communities.
Rotation Invariant Copy Move Forgery Detection Using Fast Fourier Transformation Method

Image processing is a framework which is used to enhance raw images which are gotten from cameras, sensors set on satellites and air make. Digital images are manipulated by applying forgeries such as image retouching, image splicing and copy-move forgery attacks. To detect such forgeries various techniques are proposed that includes active and passive approaches. There are numerous current strategies or methodologies used to identify the forgery in an image however this gives less precise outcomes. The proposed work here manages image forgery identification utilizing rotation invariant system with blur-invariant copy-move forgery detection. The proposed mechanism firstly rotates the inbuilt object of an image and after that partitions the picture into little squares. After dividing the image, fast fourier transformation is connected and afterward recognized. The simulations are performed in MATLAB device. The technique is more precise and gives accurate rate between 95% to 100%.
Adaptive Path Following Control of Unmanned Surface Vehicles Considering Environmental Disturbances and System Constraints

The current maritime applications have yielded strong demands for the development of advanced unmanned surface vehicles (USVs) with more reliable path following capabilities to greatly extend mission durations and enhance accommodative capabilities of USVs to more hazardous and dynamic environments. This paper presents an adaptive path following control method using a retrofit adaptive tracking control technique with application to a USV with consideration of environmental disturbances (like winds, waves, and currents), while taking into account of the system constraints of USVs, including both turning features (turning rate limit and turning dynamics) and rudder operation constraints (rudder deflection and rate saturation, and its dynamics). In order to guarantee the satisfactory performance of the USV operating in a calm environment, a baseline state feedback tracking controller considering the characteristics of yaw rate and rudder operations, and USV steering and actuator dynamics is first designed. In the presence of time-varying environmental disturbances, a retrofit adaptive disturbance compensating control mechanism is then developed based on the disturbance amplitude estimated from an indirect adaptive disturbance estimator. Finally, a reconfigurable adaptive path following controller is synthesized by combining the baseline controller and the adaptive disturbance compensating mechanism for the proper operation of the USV in the presence of environmental disturbances, while the desired path is successfully followed by the USV within an acceptable deviation boundary and without violating constraints of turning rates as well as amplitude and rate of rudder deflections. To evaluate the effectiveness of the proposed path following control methodology, both numerical simulations on a nonlinear USV model and field experiments on a real-size USV are conducted.
A Comparative Finite Element Effort for Detection of the Effect of Epoxy and Rubber Interlayers on Temperature and Force Induced Stress Behavior in Metallic Laminate Composites

Recently, metallic laminate composites have been considered attractive for lots of industries likeautomotive, aviation, aerospace, construction, and defense owing to their high specific strength, impactresistance, and lightweight. In this paper, different from the previous literature efforts, temperature-induceddeformation behaviors of polymer layer-added metallic laminates were analyzed via a finite elementapproach. As interlayer polymers, epoxy, and rubber were used separately between the metallic plates. Thesimulation results showed that as the ambient temperature increased from 20°C to 100°C fixed side of themodel reflected higher stress levels. Also, when force levels went up total deformation escalated for bothepoxy-added and rubber-added models. In addition, from the outcomes, it was obvious that polymericinterlayers had a blocking effect for excess stress concentrations on the whole design geometry and had thecapacity to reduce the total weight compared to solely metallic combinations that are vulnerable tounwanted delamination.
Identifikasi Jenis Bambu Berdasarkan Tekstur Daun dengan Metode Gray Level Co-Occurrence Matrix dan Gray Level Run Length Matrix

Bamboo species can be identified from the bamboo leaf images. This study conducted the identification of bamboo species based on leaf texture using Gray Level Co-occurrence Matrix (GLCM) and Gray Level Run Length Matrix (GLRLM) for texture feature extraction, and Euclidean distance for measure the image distance. This study used the images of bamboo species in Bengkulu province, that are bambusa Vulgaris Var Vulgaris, bambusa Multiplex, bambusa Vulgaris Var Striata, Gigantochloa Robusta, Gigantochloa Schortrchinii, Gigantochloa Serik, Schizostachyum Brachycladum, and Dendrocalamus Asper. The bamboo application was built using Matlab. The accuracy of the application was 100% for bamboo leaf test images captured using a smartphone camera and 81.25% for test images downloaded from the Internet.
Momentum and Reversal Patterns in Europe

Overall, momentum does not seem to be very strong in the sample studied. The strategy only seems to be significant when buying as well as shorting, and only for a holding period of 6 months. Adjusting for risk, these results are still robust. There does not seem to be a significant difference in whether the reversal comes from stocks that realize their momentum and stocks that do not realize their momentum in the 6 month holding period. Creating portfolios at the intersection of size and book-to-market, and momentum, seems to be a profitable strategy.
Explicit difference schemes for solving stiff problems with a complex or separable spectrum

In applications, it is often necessary to solve Cauchy problems for stiff differential equations or equations obtained by the method of lines, when implicit schemes are difficult to apply and the time step in classic explicit schemes is too small. The efficiency of stable explicit algorithms with variable time steps is analyzed, and they are shown to require a substantially smaller number of steps for integrating a stiff Cauchy problem with a complex or cluster spectrum. Numerical examples are presented.