Miracle-dz/UniFAR-FTUs huggingface dataset:
Perbandingan Hasil Klasifikasi Jenis Daging Menggunakan Ekstraksi Ciri Tekstur Gray Level Co-occurrence Matrices (GLCM) Dan Local Binary Pattern (LBP)

Daging memiliki nilai gizi tinggi yang banyak dikonsumsi oleh manusia. Kandungan yang terdapat dalam daging meliputi protein, vitamin, mineral, lemak, dan zat lainnya yang sangat dibutuhkan di dalam tubuh sehingga dapat melaksanakan kegiatan setiap harinya. Akan tetapi sayangnya tidak semua masyarakat bisa membedakan jenis daging tersebut, dikarenakan tekstur dan warnanya yang hampir mirip. Hal ini juga kerap dimanfaatkan oleh penjual daging yang tidak bertanggungjawab dengan mencampur jenis daging tersebut atau dengan jenis daging lain untuk mendapatkan keuntungan yang besar. Padahal tidak semua orang bisa mengkonsumsi jenis daging tertentu karena alasan penyakit yang diderita. Penelitian yang dilakukan ini membandingkan metode GLCM dan LBP untuk klasifikasi citra jenis daging berdasarkan analisis tekstur. Jenis citra daging yang diklasifikasi adalah daging kambing, kerbau, dan kuda. Data citra daging tersebut diperoleh dengan cara mengambil gambar secara manual menggunakan kamera digital yakni Nikon D3200. Citra tersebut diambil dengan jarak 20 cm. Pengujian dan pelatihan data dilakukan dengan metode Support Vector Machine (SVM). Ciri tekstur yang digunakan adalah ASM, IDM, entropi, kontras, serta korelasi. Hasil akurasi klasifikasi citra daging kambing, kerbau, dan kuda menggunakan metode GLCM adalah sebesar 75,6%. Sedangkan hasil akurasi klasifikasi menggunakan metode LBP adalah sebesar 85,6%. Dengan demikian, metode ekstraksi ciri tekstur LBP lebih direkomendasikan untuk klasifikasi jenis daging menggunakan ciri tekstur.
Electronic coupling calculations for modelling charge transport in organic semiconductors

Charge transport in organic semiconductors (OSCs) depends on a number of molecular properties, one of which is the electronic coupling matrix element for charge transfer between the molecules forming the material. They are the off-diagonal elements of the electronic Hamiltonian in the charge-localised (or diabatic) basis. The focus of this work is on the development of a method for a fast calculation of these matrix elements for OSCs. After addressing the different methods of their calculation, I present a program to estimate the off-diagonal elements of the Hamiltonian with a fast yet accurate semi-empirical method. This model approximates the off-diagonal elements of the Hamiltonian to be proportional to the overlap between the orbitals of the molecules, which are projected onto a very small basis set. The analytical results are in a reasonable agreement with accurate ab initio and fragment orbital DFT calculations and the speed-up is up to six orders of magnitude compared to DFT calculations. Following on from this, the analytic overlap method was implemented in two programs for charge carrier propagation, one based on Kinetic Monte Carlo simulation of charge carrier hopping (presented here), the other on surface hopping non-adiabatic molecular dynamics. I also show that the analytic overlap method can be used to estimate non-adiabatic coupling vectors very efficiently, which is an important quantity in surface hopping simulations.
Has Albania's Economic Development Stalled? Investigating the Role of Institutional Factors in Albania's Economic Performance

This study focuses on the institutional factors of Albania's economic development, from a comparative, dynamic, and regional European perspective. We use longitudinal data for the years 2002, 2014, and 2019 and a small selection of 13 countries in the region and some EU member states. Descriptive statistics, graphical representation, and econometric modeling are used for data analysis. The purpose of the study is to discuss, in real and comparative terms with the region and beyond, the economic growth of Albania based on the GDP per capita indicator, as well as to identify and evaluate dynamically the role of institutions in the country's development through important institutional factors, such as the effectiveness of government, rule of law, corruption, etc. The analysis shows that Albania's economic performance is weakover the last two decades. This is reflected in the insufficient relative growth of GDP per capita, the small increase in per capita income, and especially in the low increase in income for every 1% of relative growth. In these indicators, Albania continues to be consistently in the lowest positions in the region and beyond. The study highlights the strong link between economic growth and the effectiveness of government, the rule of law, and weak control over corruption. Improving corruption control by one unit in the range (-2.5 to 2.5) is expected to improve GDP per capita by an average of about 2.2 times. Improving the rule of law by one point is expected to improve GDP per capita on average by about 2.4 times. The country's sluggish economic performance is mainly attributed to weak institutions. Received: 4 March 2021 / Accepted: 6 May 2021 / Published: 8 July 2021
Servitisation on consumer markets: entry and strategy in Dutch private lease markets

ABSTRACT Servitisation, which occurs when products are offered with service components as product-service bundles, has increased rapidly in consumer markets during recent years because of digitalisation. Digital technologies have enabled the emergence of peer-to-peer marketplaces and made it possible for B2B lease and rental actors to push for B2C markets. Despite extensive research on servitisation, we know little of what kinds of companies can best exploit the opportunities created by it and how digitalisation affects inter-company relationships regarding these opportunities. This article addresses these research gaps by making a revelatory case study on the entry order and strategy of established B2B lease companies to enter the B2C private leasing and carsharing markets. We collect an interview-based dataset on key companies in the Dutch car lease market, that we analyse abductively. We find that knowledge of the opportunities, position in the value chain, and resources are focal elements that define which companies are pioneers, early followers, and late entrants. In contrast to former servitisation literature, manufacturing incumbent companies are not active in exploiting opportunities created by private leasing. Additionally, we discover that the leasing companies create capabilities for private leasing themselves whereas they partner to enable carsharing. We discuss the contribution of these findings to research on disruptive innovation, servitisation, and digital innovation.
Graphene edge method for three‐dimensional probing of Raman microscopes focal volumes

In this work, a layer of graphene was used as a standard material for the measurement of the dimensions of Raman microscopes focal volumes of different confocal Raman spectrometers equipped with different objectives and excitation laser wavelengths. This method consists in probing the volume near the focal point of the system by using a flat graphene monolayer sheet with a straight edge. Graphene was selected because of its high Raman cross section and mechanically and chemically stability, allowing fast measurements and easy manipulation. In this paper, a method to employ graphene to accurately and precisely measure the three dimensions of the focal volume of a Raman microscope is presented; scanning along the axial and lateral directions, it is possible to reconstruct the three dimensions of the focal volume. Furthermore, these operations can be combined in a single procedure which allows the measurement of projections of the volume on planes parallel to the optical axis. Knowledge of these parameters enable absolute quantification of Raman-active molecules and support high-resolution Raman imaging.
Analisa Pengaruh Variasi Komposisi Gas Pelindung Terhadap Hasil Pengelasan Gmaw-Short Circuit dengan Penggunaan Mesin Khusus Regulated Metal Deposition (RMD)

Salah satu faktor yang menentukan hasil pengelasan adalah gas pelindung (Shielding Gas). Jenis dan komposisi gas pellindung pada pengelasan memberikan hasil yang berbeda antara satu dengan lainnya. Moda transfer GMAW- short circuit sering tidak dilakukan karena memiliki tingkat kesukaran yang tinggi. Oleh sebab itu perusahaan listrik Miller membuat terobosan dengan menciptakan RMD (Regulated Metal Deposition). Oleh karena itu diadakan penelitian yang bertujuan mengetahui bagaimana pengaruh variasi gas pelindung elektroda yang digunakan pada proses pengelasan GMAW dengan menggunakan mesin RMD (Regulated Metal Deposition) dengan transfer moda secara short circuit terhadap hasil pengelasan pipa baja ASTM A106 dengan komposisi Ar+CO2 (90%+10%, 80%+20%, 75%+15%, 0%+100%) pada posisi Flat, horizontal, vertical, dan overhead di bagian root. Analisa terhadap hasil pengelasan menunjukan bahwa kriteria yang diamati seperti hardness, level spatter, tebal weld metal , serta bentuk dan konsistensi hasil pengelasan ( weld bead ) mengalami perubahan terhadap penambahan komposisi gas CO2. 100% gas CO2 menghasilkan nilai kekerasan terendah yaitu 186.46 HV dan level spatter tertinggi yaitu 12.27%. Bentuk weld bead yang tidak konsisten dihasilkan seiring bertambahnya gas CO2, hal ini karena busur las yang dihasilkan menjadi tidak stabil sehingga menyulitkan welder .
N-Doped Carbon Quantum Dots as Fluorescent Bioimaging Agents

Graphene quantum dots, carbon nanomaterials with excellent fluorescence characteristics, are advantageous for use in biological systems owing to their small size, non-toxicity, and biocompatibility. We used the hydrothermal method to prepare functional N-doped carbon quantum dots (N-CQDs) from 1,3,6-trinitropyrene and analyzed their ability to fluorescently stain various bacteria. Our results showed that N-CQDs stain the cell septa and membrane of the Gram-negative bacteria Escherichia coli, Salmonellaenteritidis, and Vibrio parahaemolyticus and the Gram-positive bacteria Bacillus subtilis, Listeria monocytogenes, and Staphylococcus aureus. The optimal concentration of N-CQDs was approximately 500 ppm for Gram-negative bacteria and 1000 ppm for Gram-positive bacteria, and the exposure times varied with bacteria. N-Doped carbon quantum dots have better light stability and higher photobleaching resistance than the commercially available FM4-64. When excited at two different wavelengths, N-CQDs can emit light of both red and green wavelengths, making them ideal for bioimaging. They can also specifically stain Gram-positive and Gram-negative bacterial cell membranes. We developed an inexpensive, relatively easy, and bio-friendly method to synthesize an N-CQD composite. Additionally, they can serve as a universal bacterial membrane-staining dye, with better photobleaching resistance than commercial dyes.
Data-Driven Capability-based Health Monitoring Method for Automative Manufacturing

Testing equipments are a crucial part of production quality control in the automotive industry. Their health needs to be controlled carefully to avoid quality issues and false alarms that reduce production efficiency, potentially leading to huge losses. The main challenge for this control is the large number of features leaning for automated reasoning. A data-based Health Monitoring System could be a solution. In manufacturing industries, a widely accepted index for evaluating process performance is the capability. It combines statistical measures for normal distributions in order to verify the ability of a process to produce an output within the specification limits. In this article we propose a capability-based prognosis and diagnosis method based on test data. Capability is calculated and compared to a known threshold. If the index value exceeds the threshold, then a diagnosis phase is initiated to find out which parts of the equipment are faulty. Data temporality is also taken into account. Data trends are used for prognosis.Test data are splited into periods. To respect the normality assumption of the capability, it is proposed to use a Gaussian Mixture Model (GMM) classification to extract all normal distributions found in one data period. Two approaches are discussed for selecting the number of clusters used for the classification. The first approach is based on the well-known Bayesian Information Criterion (BIC). The second approach uses a multi-criteria aggregation function learned by using machine learning on a synthetically gene-rated dataset. Some of the criteria used in the aggregation are inference based. Others are classical statistics extracted from the classes obtained by the GMM.For each of these classes the capability index is calculated and used for diagnosis and prognosis purposes. This method is applied on real data from In-Circuit Testing (ICT) machines for electronic components at a Vitesco factory in France.
Synthesis, molecular docking and anticancer activity of 5,5'-(phenylmethylene)bis(6-amino-2-thiouracil) derivatives

Abstract A series of 5,5′-(phenylmethylene)bis(6-amino-2-thiouracil) derivatives (1–13) were synthesized by the condensation of 6-amino-2-thiouracil and benzaldehyde derivatives under reflux in glacial acetic acid. Nine compounds (3, 5 and 7–13) were novel. Good binding affinity (BE) in the active site of Eg5 was shown by all compounds, which ranged between −5.0 kcal mol−1 to −26.7 kcal mol−1. Most compounds in the series exhibited a stronger interaction than 5-fluorouracil (BE = −8.0 kcal mol−1) with Eg5. The docking results were supported by cytotoxicity studies of the synthesized compounds against HeLa (cervical cancer) cell lines, where all compounds exhibited better anti-cancer activity than 5-fluorouracil (IC50 = 12.08 µg mL−1) at the lowest concentration (10 µg mL−1) with IC50 values ranging from 4.18 to 10.20 µg mL−1. Graphical Abstract
A Novel Methodology for Adaptive Coordination of Multiple Controllers in Electrical Grids

This proposal is aimed to overcome the problem that arises when diverse regulation devices and controlling strategies are involved in electric power systems regulation design. When new devices are included in electric power system after the topology and regulation goals were defined, a new design stage is generally needed to obtain the desired outputs. Moreover, if the initial design is based on a linearized model around an equilibrium point, the new conditions might degrade the whole performance of the system. Our proposal demonstrates that the power system performance can be guaranteed with one design stage when an adequate adaptive scheme is updating some critic controllers’ gains. For large-scale power systems, this feature is illustrated with the use of time domain simulations, showing the dynamic behavior of the significant variables. The transient response is enhanced in terms of maximum overshoot and settling time. This is demonstrated using the deviation between the behavior of some important variables with StatCom, but without or with PSS. A B-Spline neural networks algorithm is used to define the best controllers’ gains to efficiently attenuate low frequency oscillations when a short circuit event is presented. This strategy avoids the parameters and power system model dependency; only a dataset of typical variable measurements is required to achieve the expected behavior. The inclusion of PSS and StatCom with positive interaction, enhances the dynamic performance of the system while illustrating the ability of the strategy in adding different controllers in only one design stage.
Effects of intracorneal ring segments on the biomechanical response of the ectatic cornea to air-puff: A patient-specific numerical analysis

The assessment of the underlying factors that influence the biomechanics and dynamics of the cornea is essential for preserving the safety and efficacy of refractive surgeries. In the present work, the operated cornea with intracorneal ring segments (ICRSs) in a patient-specific finite-element model (FEM) was subjected to the air-puff. Then, the dynamic deformation parameters predicted by the FEM were obtained and compared with the corresponding values in clinical measurements. In this study, the effects of ICRS design, position, and implementation procedure in six different surgical scenarios were examined on the induced corneal stresses, deformation behavior, and shape regularization. While surgical scenarios with arc lengths of 160° (single and double segment), 355° implemented with the tunnel incision method provided similar maximum apical displacement (MAD) and highest concavity radius of curvature HCR), they induced significantly different flattening effects. The surgical scenarios with the segment of 160° arc-length implemented in nasal–temporal direction showed an approximately 15% higher reduction in mean corneal power ( K m ) value than the superior–inferior direction. From a solid-mechanics perspective, the study of ICRS mechanics in the cornea also confirmed the importance of the implementation position to achieve satisfactory flattening outcomes. Comparison of the two types of ICRS implementation procedures showed that, although the pocket method demonstrated a 10.23% higher MAD, it induced a higher reduction in the HCR of 21.65% compared with tunnel incision. The developed numerical model demonstrated the direct correlation of the ICRS insertion site with induced contact stresses and ICRS position stability. The study hypothesizes the significant influence of ICRS implementation position and procedure on the corneal biomechanical and dynamical behaviors. The proposed approach can be assessed as a robust and novel framework for planning optimized corneal refractive surgeries.
Substance use during the COVID-19 pandemic in Greece

ABSTRACT Background and Objectives The recent outbreak of the covid-19 pandemic can be stressful for many people, who could resolve to addictive substances or other addictive behaviors as coping strategies. The purpose of this study was to detect changes in alcohol, tobacco, cannabis use and gambling in the general population, during the covid-19 lockdown in Greece. Methods A cross-sectional study was conducted online, using the AUDIT-C questionnaire for alcohol use, the Fagerström Test for Nicotine Dependence, and qualitative questions about alcohol, tobacco, cannabis use and gambling. Results were analyzed using the SPSS v.26 software. Results Of N = 1365 responders, 300 abstained completely. During lockdown: 43.7% of alcohol users reported drinking less or abstain, followed by a lower mean score in AUDIT-C (p < 0.001), 1/3 of tobacco smokers reported that they smoked more, confirmed by a difference in Fagerstrom Test scores (p < 0.001). 67.4% of cannabis users reported abstinence and 71.4% of gamblers answered that they played less or not at all (females > males, p = 0.031). Changes were mostly attributed to factors linked to the lockdown. Discussion and Conclusions Alcohol, cannabis users and gamblers seemed to quit their habits during lockdown. Tobacco smoking seemed to become heavier, despite reports that smokers are more vulnerable to heavier respiratory symptoms after covid-19 infection. Present situation played a more important role, than fears about health. A significant percentage used alcohol or tobacco to cope with anxiety or depression.
Tingkat Kepuasan Mahasiswa Pada Pembelajaran Daring Mata Kuliah Fisika Dasar

Virus Covid 19 telah membuat banyak dampak dalam berbagai sektor termasuk pendidikan. Pembelajaran yang mulanya dilakukan secara tatap muka di Universitas PGRI Banyuwangi, akan tetapi sekarang pembelajaran harus dilakukan secara daring (online). Tujuan penelitian ini adalah untuk mengetahui tingkat kepuasan mahasiswa pada pembelajaran daring pada mata kuliah fisika dasar Fakultas Pertanian Universitas PGRI Banyuwangi di masa pandemic covid 19. Penelitian ini menggunakan model Kuantitatif dengan metode survei. Responden penelitian ini berjumlah 60 mahasiswa yang menempuh mata kuliah fisika dasar. Hasil penelitian menunjukkan bahwa presentase tingkat ketidakpuasan mahasiswa sebesar 54% dengan kriteria sangat tidak puas, presentase media pembelajaran yang paling sering digunakan melalui email sebesar 65%, presentase tingkat penerimaan materi yang disampaikan secara daring 67% dengan kriteria kurang, presentase kekurangan yang paling sering terjadi yaitu boros kuota internet sebesar 38%, dan antusias mahasiswa untuk melaksanakan perkuliahan tatap muka sebesar 83%.
“Placing oneself on the other side”: how teachers' dispositions toward research can be constructed through pedagogical documentation. A case study in Spain

ABSTRACT The following paper presents the results of a case study on the educational potentiality of pedagogical documentation as a way to construct the research disposition of preschool teachers in initial education. After an introductory reflection on the relevance of provoking the reconstruction of practical knowledge, pedagogical documentation is approached as it is proposed in Reggio Emilia preschools (Italy). This contribution presents as its fundamental findings the potentiality of pedagogical documentation as a way to enter into a dialogue with the complexity of teacher education processes. It is argued that this tool can be essential to weave research into a preschool teacher’s day-to-day action. Although participating students are initially uncomfortable using the tool, finally they end up mobilising each of the five constituent dimensions of teachers’ practical knowledge (attitudes, values, emotions, skills and knowledge).
Part-level attention networks for cross-domain person re-identification

Person re-identiﬁcation (Re-ID) is in signiﬁcant demand for intelligent security and single or multiple-target tracking. However, there are issues in the person Re-ID tasks, such as sharp decline in cross-data sets detection accuracy, poor generalization and cross-domain ability of the model. This work mainly studies the generalization and adaptation of cross-domain person Re-ID models. Different from most existing methods for cross-domain Re-ID tasks, the authors use diversiﬁed spatial semantic feature in pixel-level learning in the target domain to improve the generality and adaptability of the model. In the case that no information of the target domain is used during the model training, the trained model is directly tested on the data set of the target domain. It has proven effective to add the attention cascade module into the backbone network combining with the part-level branch. The authors conducted extensive experiments based on the three data sets of Market-1501, DukeMTMC-ReID and MSMT17, resulting in both single-domain and cross-domain tests with an average improvement of Rank1 and mAP values of about 10% compared with Baseline through the authors’ proposed method named Part-Level Attention Network.
Synthesizing Knowledge about Structural Change in Agriculture: The Integration of Disciplines and Aggregation Levels

It is common sense that it needs social and economic perspectives to understand structural changes in agriculture. The current study asserts that, likewise, the integration of the farm level (micro), the sectoral level (meso), and the societal level (macro) are needed to gain insight into the system of agricultural structures. Following a review of the literature, these three levels were integrated in a cycle in which the interdependencies between different units of analysis were evaluated. The study concludes that it enhances the understanding of structural change on each level if the other levels are also taken into account. It therefore contributes not only to the literature on agriculture, but also to the discussion about the rationale of an analytical meso-level between the analysis on micro- and macro-levels.