Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiological Basis for the Ecological Preference of Eucalyptus globulus Labill (Blue Gum) III : Nutritional Status, Growth Performance and Oil Production

The nutrient status of different age groups of Eucalyptus globulus grown at various altitudes indicated their significance for the development of diameter growth and also for oil production. The status of total nitrogen and phosphorus had direct significant impact on diameter growth with the correlation coefficient of 0.43 and 0.48 respectively. Potassium played dual role for better production of oil and growth performance of E. globulus . Potassium had direct influence on oil production (r = 0.40 *) and also indirect effect to enhance growth performance by elevating the status of soluble nitrogen and nitrogen of the foliage.
Performance of Overset Mesh in Modeling the Wake of Sharp-Edge Bodies

The wake dynamics of sharp-edge rigid panels is examined using Overset Grid Assembly (OGA) utilized in OpenFOAM, an open-source platform. The OGA method is an efficient solution technique based on overlap of a single or multiple moving grids on a stationary background grid. Five test cases for a stationary panel at different angle of attack are compared with available computational data, which show a good agreement in predicting global flow variables, such as mean drag. The models also provided accurate results in predicting the main flow features and structures. The flow past a pitching square panel is also investigated at two Reynolds numbers. The study of surface pressure distribution and shear forces acting on the panel suggests that a higher streamwise pressure gradient exists for the high Reynolds number case, which leads to an increase in lift, whereas the highly viscous effects at low Reynolds number lead to an increased drag production. The wake visualizations for the stationary and pitching motion cases show that the vortex shedding and wake characteristics are captured accurately using the OGA method.
Robust and fast reconstruction of complex roofs with active sampling from 3D point clouds

This article proposes a novel method for the 3D reconstruction of LoD2 buildings from LiDAR data. We propose an active sampling strategy which applies a cascade of filters focusing on promising samples at an early stage, thus avoiding the pitfalls of RANSAC‐based approaches. Filters are based on prior knowledge represented by (nonparametric) density distributions. In our approach samples are pairs of surflets—3D points together with normal vectors derived from a plane approximation of their neighborhood. Surflet pairs provide parameters for model candidates such as azimuth, inclination and ridge height, as well as parameters estimating internal precision and consistency. This provides a ranking of roof model candidates and leads to a small number of promising hypotheses. Building footprints are derived in a preprocessing step using machine learning methods, in particular support vector machines.
Utilization of soybean residue to produce monacolin K - cholesterol lowering agent.

Soybean residue is a byproduct from the manufacture of soybean milk and tofu which are popular foods in Thailand. Soybean residue was used as substrate in solid state fermentation by Monascus purpureus IFRPD 4046 to produce monacolin K, a cholesterol lowering agent. The optimum fermentation conditions, such as temperature, pH and fermentation time, were determined. M. purpureus IFRPD 4046 grew well on soybean residue and reached the maximum growth at 7 th day. The highest yield of monacolin K concentration was 191.88 mg/kg in the optimized conditions of fermented soybean residue at pH 4, 25% moisture content and incubation time of 7 days at 30 o C. Keyword: soybean residue, Monascus purpureus, monacolin K, atherosclerosis Songklanakarin J. Sci. Technol. 31 (1), 35-39, Jan. Feb. 2009
Application of recent nature‐inspired meta‐heuristic optimisation techniques to small permanent magnet DC motor parameters identification problem

: In this study, an attempt is made to find an effective solution on the small direct current (DC) motor's parameters identification problem by employing two recently introduced stochastic nature-inspired techniques. The first one is called ‘salp swarm algorithm’ (SSA) while the second one is called ‘ ant-lion optimiser ’ (ALO). These algorithms have been inspired by the interaction strategy between the ocean salps and the ants and ant-lions, respectively, in nature. To appraise the effectiveness of these algorithms, a DC motor model has been appropriately implemented and its performance is evaluated by using speed step responses, while all model's parameters are considered unknown and therefore search variables. Integral of the square of the error (ISE), integral absolute error and integral in time of absolute error have been adopted as objective functions for the algorithms’ evaluation. In order to judge the acceptability of these algorithms, the simulation results are compared with those of another one similar technique, namely the ‘grey wolf optimiser’ (GWO). The obtained results reveal very satisfactory performance and confirm that the examined SSA, ALO and GWO algorithms can identify accurately the DC motor parameters and can be applied effectively to the specific problem. Another finding is that SSA combined with ISE criterion seems to be the most appropriate technique among the three algorithms.
A systematical ab-initio review of promising 2D MXene monolayers towards Li-ion battery applications

Two-dimensional materials have been attracting increasing interests because of their outstanding properties for Lithium-ion battery applications. In particular, a material family called MXenes (Mn+1Cn, where n = 1, 2, 3) have been recently attracted immense interest in this respect due to their incomparable fast-charging properties and high capacity promises. In this article, we review the state-of-the-art computational progress on Li-ion battery applications of MXene materials in accordance with our systematical DFT calculations. Structural, mechanical, dynamical, and electrical properties of 20 distinct MXene (M: Sc, Ti, V, Cr, Nb, Mo, Hf, Ta, W, and Zr) have been discussed. The battery performances of these MXene monolayers are further investigated by Li-ion binding energies, open circuit voltage values, and Li migration energy barriers. The experimental and theoretical progress up to date demonstrates particularly the potential of non-terminated or pristine MXene materials in Li ion-storage applications. Stability analyses show most of the pristine MXenes should be achievable, however susceptible to the development progress on the experimental growth procedures. Among pristine MXenes, Ti2C, V2C, Sc2C, and Zr2C compounds excel with their high charge/discharge rate prospect due to their extremely low Li diffusion energy barriers. Considering also their higher predicted gravimetric capacities, Sc, Ti, V, and Zr containing MXenes are more promising for their utilization in energy storage applications.
Weather Image Recognition Considering Light Condition Via SENet for Intelligent Traffic System

: The comprehensive automatic classification of weather category and environmental light condition has important applications in the field of intelligent Traffic. This paper proposes a weather image classification model based on SENet, which can identify 5 types of weather: sunny, cloudy, rain, fog, and snow, and can evaluate the environmental brightness (Bright, Dark) of each type of weather above. This paper uses a weather image dataset consisting of 8890 weather images, of which 7900 are the training set and 990 are the validation set. A variety of neural networks (AlexNet, GoogLeNet, and BPNN) were used to train and compare the datasets. After comparison, it was found that the accuracy of SENet was as high as 98.48% when the epoch was 200. The accuracy of extreme weather recognition is higher than the other three networks, which is more suitable for extreme weather recognition.
A Bandgap Reference Source for Buck DC-DC Converter

Aiming at the widely used Buck DC-DC converter, a negative feedback loop for Buck DC-DC power management system is designed in this paper, considering the influence of the voltage accuracy generated by the bandgap reference source on the system output. Based on the analysis of the traditional BJT-based voltage reference source, this paper selects TSMC 65nm CMOS process and performs simulation in the temperature range of -40°C to 90°C. When the input voltage is 5V, the temperature coefficient of the reference source is 6 5.3 10 / ppm   °C , and power supply rejection ratio(PSRR) is -65.8dB@dc, all of which show good performance.
Estructura Factorial, Invarianza y Propiedades Psicométricas de la Escala de Autoestima de Rosenberg en el Contexto Ecuatoriano

The aim of the present study was to evaluate the psychometric properties of the Rosenberg Self-Esteem Scale (RSE, Rosenberg, 1965) in the Ecuadorian context. The original version was evaluated along with alternative models proposed by other research in a sample of 535 adults in the city of Cuenca, Ecuador. The results of the confirmatory factor analysis show that the bifactor model has good internal consistency and adequate goodness of fit. Criterion validity was evaluated by correlating the dimensions of positive selfesteem and negative self-esteem with the subscales of the psychological domain of Quality of Life WHOQOL-BREF, Social Support of DUKE and Engagement to Life. Self-esteem measured by the RSE is essentially unidimensional and is invariant between the sex categories.
Competitive Advantages of Sharia Banks: Role of Ihsan Behavior and Digital Marketing in New Normal

Covid pandemic 19 had an impact on all aspects, one of which was related to Islamic banking. This article aims to discuss the role of Ihsan's behaviour as a foundation in building relationships with customers, building brand image through communication with the characteristics of Islamic values, and how organizations provide support so that the development of digital marketing communication runs effectively. The method uses a qualitative approach, with secondary data sources. Data analysis uses descriptive analysis approach. The results of the study show that the new pattern of life called the new normal as a result of the co-19 pandemic has affected various sectors of social, economic, and even religious life. Islamic banks, as part of institutions that have an important role must be able to adapt and have a strategy to establish excellent communication and services with their customers. The business foundation, with the foundation of Ihsan values, with communication strategies through digital media, is expected to be able to increase the advantages of Islamic banks.
Evaluation of optic nerve variations in relation to posterior paranasal sinuses among study population of Mandya District of Karnataka State

This study aims to determine relationship of optic nerves to posterior paranasal sinuses, its types, incidence and prevalence among study population of Mandya district, Karnataka. This observational study comprised 124 patients who were recommended for FESS and were referred to radiology department for CT scan between July 2019 to December 2019 at MIMS, Mandya. The age and sex of the patients along with the symptoms and its duration was recorded. All the patients underwent a comprehensive medical history and head and neck physical examination. A high resolution, 1.25 mm thick CT scan was taken for the study. Relationship of optic nerves to posterior paranasal sinuses was categorized according to Delano classification. Descriptive statistics like mean and percentages were used for analysis using SPSS v.22. The findings showed the prevalence of Onodi cells in 22.6% of the patients. Onodi cells were observed in 8.9% on the right side and 5.6% on left side of the patients respectively. In 8.1% of the patients, bilateral Onodi cells were present. ACP pneumatization was present in 25.1% of the patients bilaterally. ACP pneumatisation was found on the right side and left side in 10.5% and 6.5% respectively. 124 patients underwent CT of paranasal sinuses during study period and course of 248 optic nerves were examined in relation to posterior paranasal sinuses. Type 1, Type 2, Type 3, and Type 4 optic nerves was present in 83.33%, 8.87%. 12.1%, and 21.78% respectively. Bilateral Type 1 optic nerves was present in 58.88% patients, both Type 2 and Type 3 optic nerves were seen bilaterally in 3.23% of patients and bilateral Type 4 optic nerve was seen in 10 (8.06%) cases. Optic nerve Type 1 (83.88%) was the most frequent nerve type, followed by Type 4 (21.78%). In conclusion, the anatomical variations of paranasal sinuses are very important to be identified preoperatively since sphenoid sinus and optic nerve relation is known for its variation. Before endoscopic sinus surgery, one needs to know this anatomy using CT of paranasal sinuses using Delano classification of optic nerve.
PENGARUH TINGKAT RISIKO PEMBIAYAAN MUDHARABAH, MUSYARAKAH DAN MURABAHAH TERHADAP PROFITABILITAS PADA BANK SYARIAH MANDIRI DAN MUAMALAT PERIODE 2013-2017

Tujuan penelitian ini adalah untuk memperoleh bukti empiris tentang pengaruh tingkat risiko pembiayaan mudharabah , musyarakah dan murabahah terhadap profitabilitas pada Bank Syariah periode 2013 – 2017. Metode dalam penelitian ini adalah metode penelitian kuantitafif. Sampel yang digunakan yaitu laporan keuangan dari dua bank syariah periode 2013 – 2017. Data diolah menggunakan Microsoft Excel 2007 dan SPSS 25. Variabel terikat dari penelitian ini adalah Profitabilitas. Variabel bebas meliputi tingka risiko pembiayaan mudhrabah, tingkat risiko pembiayaan musyarakah dan tingkat risiko pembiayaan murabahah. Hasil penelitian ini menunjukan bahwa tingkat risiko pembiayaan mudharabah terhadap laba pada bank syariah tahun 2013 – 2017 terdapat pengaruh positif dan signifikan, hal ini dapat dilihat pada sig sebesar 0,000. Tingkat risiko pembiayaan musyarakah terhadap laba berpengaruh negatif dan tidak signifikan, hal ini dapat dilihat pada nilai nilai sig sebesar 0.284. sedangkan tingkat risiko pembiayaan murabahah terhadap laba berpengaruh positif dan signifikan dengan nilai sig sebesar 0,001. Kata kunci : Tingkat risiko pembiayaan mudharabah, tingkat risiko pembiayaan musyrakah, tingkat risiko pembiayaan murabahah , dan profitabilitas.
Comunicación Política y agenda digital: debates on-line y off-line en las elecciones brasileñas del año 2018

Electoral debates occur online before, during and after TV debates. For two months this study has analysed the Facebook accounts of the main presidential candidates in Brasil in 2018 (Álvaro Dias, Cabo Daciolo, Geraldo Alckmin, Marina Silva, Jair Bolsonaro, Guilherme Boulos, Henrique Meirelles and Ciro Gomes) in order to determine through the “area of impact” concept the consistency between the digital agenda and the topical agenda of the debate held on TV Band on Thursday 9th of August. Through the tool Netvizz, a Facebook extension, we have extracted 843 messages from 9th of June to 8th of August 2018. As a result, it is noted that Facebook does not predict analogical topics, which are very focused on “hard” agenda topics: economic policy, corruption and security. Similarly, we have obtained a model called issue campaign which challenges the results of previous research, leading to the conclusion that Facebook is more prone to debate and proposals and that Twitter is the scene of a “horse race” with the existence of a “crossed discussion” among candidates.
Biophysical and biochemical factors in the cellular microenvironment; effects on cell migration and invasion

Metastatic cells migrate from the site of the primary tumor, through the stroma, into the blood and lymphatic vessels, finally colonizing various other tissues to form secondary tumors. Numerous studies have been done to identify the stimuli that drive the metastatic cascade. This has led to the identification of multiple biochemical signals that promote metastasis. However, information on the role of mechanical factors in cancer metastasis has been limited to the effect of compliance. Interestingly, the tumor microenvironment is rich in many cell types including highly contractile cells that are responsible for extensive remodeling and production of the dense extracellular matrix surrounding the cancerous tissue. We hypothesize that the mechanical forces produced by remodeling activities of cells in the tumor microenvironment contribute to the invasion efficiency of metastatic cells. We have discovered a significant difference in the extent of invasion in mechanically stimulated versus non-stimulated cell culture environments. Furthermore, this mechanically enhanced invasion is dependent upon substrate protein composition, and influenced by topography. Finally, we have found that the protein
Tourist Experience in Mandala Pepadhanging Jagad Travel Package for Heritage Tourism Development in Borobudur Temple Compound

Tourist experience has become a focal point in tourism management studies. Unforgettable, special, and spectacular travel experience is challenged to encourage not only in quantity side in the material form of numbers of visitors but also develop values that maintain, preserve, and conserve heritage tourism principles. Development of heritage tourism by integrating the concept of tourism and cultural conservation has become one of the efforts carried in Borobudur Temple Compound. One of the core elements in this effort was the development of travel experience with channeling narratives in tourism practices. The Borobudur Temple Compound holds a bountiful of narratives that have been buried in decades. Reviving the narratives around Borobudur becomes essential in managing heritage tourism and preserving cultural heritage. Selected narratives collected in the legend of Borobudur are soon to be integrated into tourism practice. Focusing on the increase of effectiveness in creating travel experience; transfer knowledge and values of these selected stories or narratives are studied to grasp tourist satisfaction determined by tourist’s psychological flow. Thus, these experiences become essential in evaluating heritage tourism development through narrations in Borobudur Compounds. This researchbased article presents the significance of travel experience into two main focus: the narratives and travel experience with the narrative storytelling, including creativity in creating tour amenities, and management from tour guide competencies from two selected Borobudur narrative. Using survey and focus group interview the outcomes shows a positive tourist experience satisfaction in which can be used as a foundation to thrust the development of heritage tourism policies in Indonesia.
Microscope Hardware and Software Delays Cause Photo-Toxicity

Abstract: Technological advancements in the areas of sample illumination, image acquisition, and image processing have significantly improved the speed and sensitivity of fluorescence microscopy. In particular, light emitting diodes (LEDs) coupled to transistor-transistor logic (TTL) circuits have reduced photo-bleaching and photo-toxicity by limiting sample illumination to the camera exposure time. Unfortunately, many microscopes still rely on bulb-based light sources that cannot be configured with TTL. Moreover, even when TTL is enabled in conventional microscope software, hardware and software delays can still contribute to photo-toxicity and lead to additional delays between subsequent images, introducing errors in time lapse image recordings. The goal of the present article is to highlight the significance of these issues.
Faktor-Faktor yang Mempengaruhi Prestasi Belajar Mahasiswa Tingkat 1 Universitas Pamulang Fakultas Ekonomi Program Studi Manajemen Reguler A.

Pendidikan pada hakekatnya bertujuan untuk membentuk sumber daya manusia seutuhnya yang berkualitas. Kualitas pendidikan erat kaitannya dengan proses pembelajaran karena proses pembelajaran merupakan salah satu segi terpenting dalam bidang pendidikan. Selain adanya anggapan tersebut prestasi belajar mahasiswa juga dipengaruhi faktor-faktor lain.Metode yang digunakan dalam penelitian ini kuantitatif. Data diambil dari hasil kuesioner. Analisis data dilakukan dengan mengunakan 4 (empat) tahapan yaitu pengumpulan data, validitas item, penyajian data dan penarikan kesimpulan. Berdasarkan hasil penelitian menunjukkan bahwa, Terdapat pengaruh positif dan signifikan secara secara simultan antara Motivasi Belajar (X1), Minat Belajar (X2), Kesehatan Jasmani (X3), Pembimbing Akademik (X4), dan Lingkungan Sosial (X5) Terhadap Prestasi Belajar (Y) dan yang paling dominan adalah faktor motivasi belajar dengan presentase sebesar 46,3%.
PLS Generalized Linear Regression and Kernel Multilogit Algorithm (KMA) for Microarray Data Classiﬁcation Problem

This study involves the implentation of the extensions of the partial least squares generalized linear regression (PLSGLR) by combining it with logistic regression and linear discriminant analysis, to get a partial least squares generalized linear regression-logistic regression model (PLSGLR-log), and a partial least squares generalized linear regression-linear discriminant analysis model (PLSGLRDA). A comparative study of the obtained classiﬁers with the classical methodologies like the k-nearest neighbours (KNN), linear discriminant analysis (LDA), partial least squares discriminant analysis (PLSDA), ridge partial least squares (RPLS), and support vector machines(SVM) is then carried out. Furthermore, a new methodology known as kernel multilogit algorithm (KMA) is also implemented and its performance compared with those of the other classiﬁers. The KMA emerged as the best classiﬁer based on the lowest classiﬁcation error rates compared to the others when applied to the types of data are considered; the un- preprocessed and preprocessed.
Samambaias epífitas em trilhas do Parque Guairacá, município de Paula Freitas, Paraná

Os epifitos desempenham importantes funcoes ecologicas, e em particular as samambaias, mostram uma diversidade significativa em ambientes florestais, ocupando microambientes especificos e diversos. A diversidade de samambaias epifiticas no estado do Parana ainda e relativamente pouco conhecida. A regiao de Paula Freitas, em particular, nao apresenta estudos especificos para este grupo de plantas. Neste sentido, o presente estudo teve por finalidade avaliar a riqueza de especies de samambaias epifitas em regioes de trilhas no Parque Municipal Guairaca em Paula Freitas, Parana. Foram registradas 10 especies distribuidas em oito generos e quatro familias. A familia Polypodiaceae foi a mais rica na area avaliada (oito especies), reflexo das caracteristicas morfoanatomicas comuns as especies da familia. Os resultados encontrados contribuem com o reconhecimento das caracteristicas floristicas e ecologicas de samambaias epifitas ocorrentes no estado do Parana
Learning Media Based on Three Level Representation and Inquiry for Electrolysis Cell Materials

Research has been conducted aimed at designing three-level representation-based learning media in electrolytic cell material. The research product in the form of a model kit equipped with inquiry-based worksheets was developed through the stages of design based research. The model kits and worksheets produced have the characteristics: integrating macroscopic, submicroscopic and symbolic levels of representation, developing the ability of chemical representation and scientific performance. The submicroscopic and symbolic representations are explored using particle models made of magnetism to simulate the transfer of ions and electrons during an electrolysis reaction. Validation and testing of products and inquiry-based worksheets show the product is valid and feasible to use.