Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying defects under shadows from a series of thermal images by employing robust principal component analysis and local binary function

Thermal infrared images have been widely employed to detect defections. However, it is challenging to identify the defects from thermal infrared images covered with shadows and noise. For a series of thermal infrared images, principal component analysis (PCA) is often applied to transform the given series into a lower-dimensional linear subspace. In the lower-dimensional subspace, a low-rank matrix is generated to serve as an optimal estimation from the series of thermal images. However, the information stored in those thermal infrared images will be kept mostly during the transformation. Full recovery of the lost information is not possible. A template containing the major information from the given series can be extracted by employing PCA. Furthermore, PCA has difficulty finding the template should interferences occur while the thermal images are captured. The unnecessary information collected associated with the interferences causes some unfavorable characteristics of the template extracted by PCA. Robust PCA (RPCA) is less susceptible to the abovementioned constraints. In this study, RPCA is employed to extract a template from a series of thermal infrared images. Local binary functions are built to restore the image free of noise by keeping the local boundaries. The defects can be readily identified from the regional boundaries. The proposed approach combining RPCA and local binary functions to analyze the given images in conjunction with level set functions. The processed results demonstrate that the proposed scheme are more effective than PCA in analyzing a series of thermal infrared images containing interferences.
Construction and validation of a rehabilitation nursing program for fragile elderly.

OBJECTIVE To build a rehabilitation nursing program to be implemented in the homes of frail elderly people and validate it by rehabilitation nurses. METHODS This is a qualitative, exploratory study, divided into two stages. The first corresponded to an integrative literature review that supported the construction of the program. The second consisted of the program content validity stage, through a focus group, in May 2021. RESULTS Nine experts participated in the construction and content validation of the rehabilitation nursing program for frail elderly. Two focus groups were carried out, and the final version of the program included training in life activities and particularly self-care, strength, balance, coordination and joint mobility. FINAL CONSIDERATIONS The program reached content validity, with a minimum set of characteristics that it must integrate, now requiring application in Primary Health Care for clinical validation.
Machine-learning to see defects: a hybrid attention-ConvLSTM-based convolutional neural network deep learning architecture for structural damage detection

Vibration measurement serves as the basis for structural damage detection. To detect damage, vibration measurement and frequency estimation through image sequence analysis continue to receive increasing attention. In this work, we demonstrate that structural damage prediction can be achieved using a deep learning neural network architecture. In this paper, we seek to learn and see the structural damage directly from videos using deep convolutional neural networks (CNN). The key idea is to use each pixel of an image taken from a digital camera, extracting the spatiotemporal information, like a sensor to capture the modal frequencies of a vibrating structure. We develop attention-based architecture to detect subtle signals from a specific source to visualize high resolution of dynamic properties of the structures to infer existing structural damage. We first extract the high discriminative features of video frames using the CNN. Then we leverage conv-long short-term memory (ConvLSTM) with the extracted features as inputs to capture the temporal dynamics in videos. The attention mechanisms are embedded in the network to ensure the model learns to focus selectively on the dynamic frames across the video clips. Our computer vision-based deep learning model takes the video of a vibrating structure as input and outputs about the health of the structure. We demonstrate, using reliable empirical results, the proposed model is efficient, autonomous, and accurate. The proposed method is verified using a few laboratory experiments. Our experimental results demonstrate that the proposed method can achieve acceptable prediction accuracy even.
A Method for Generating Comparison Tables From the Semantic Web

This paper presents Versus, which is the first automatic method for generating comparison tables from knowledge bases of the Semantic Web. For this purpose, it introduces the contextual reference level to evaluate whether a feature is relevant to compare a set of entities. This measure relies on contexts that are sets of entities similar to the compared entities. Its principle is to favor the features whose values for the compared entities are reference (or frequent) in these contexts. The proposal efficiently evaluates the contextual reference level from a public SPARQL endpoint limited by a fair-use policy. Using a new benchmark based on Wikidata, the experiments show the interest of the contextual reference level for identifying the features deemed relevant by users with high precision and recall. In addition, the proposed optimizations significantly reduce the number of required queries for properties as well as for inverse relations. Interestingly, this experimental study also show that the inverse relations bring out a large number of numerical comparison features.
Sampled-data-based dynamic event-triggered formation control for nonlinear multi-agent systems

This paper studies the distributed formation control of multi-agent systems with nonlinear dynamics. In view of practical digital microprocessor and limited network resources, the sampled-data-based dynamic event-triggered control strategy is developed. First, each agent synchronously samples its states and monitors the event-triggered function periodically. Each agent broadcasts its states to neighbors only when the function is triggered which can greatly reduce communication times. Meanwhile, the Zeno behavior is excluded due to periodic sampling. Moreover, the dynamic parameter in event-triggered function updates in accordance with a dynamic rule which helps achieve a trade-off between communication frequency and formation performance. The formation problem is transformed into the stability analysis of a time-delay system. Finally, numerical simulations are shown to illustrate the effectiveness of the proposed strategy.
Diversity of farmers’ varieties of faba bean (Vicia faba L.) in northeastern and southwestern Ethiopia

ABSTRACT Lack of research on intraspecific diversity of faba bean and its management in Ethiopia could lead to the loss of farmers’ varieties, limiting the contributions of local genetic resources. This study assessed the diversity of farmers’ faba bean varieties and local knowledge related to their use and management across multiple cultural and agroecological contexts. We conducted 288 structured and 48 semi-structured interviews in five agroecological zones and four cultural areas in northeastern and southwestern Ethiopia. A total of seventeen farmers’ varieties were identified and documented based on phenotypic descriptors. The tepid sub-moist mid-highlands of South Wollo had the highest number of varieties (five) of any area sampled; however, the humid mid-highlands of Jimma had a higher Shannon-Wiener diversity index based on the area planted to each variety. Most farmers reported that they had originally obtained their traditional varieties from family members, whereas new varieties were typically purchased from local markets. According to farmers, both male and female adults participated in the production and processing of faba bean, with some distinct differences among cultural areas. Understanding the diversity of farmers’ varieties has important implications for on-farm conservation strategies to enhance the use value of this multipurpose leguminous crop.
Efficacy of Hexanal Field Spray on the Postharvest Life and Quality of Papaya Fruit (Carica papaya L.) in Kenya

Papaya is a thin-skinned fruit that ripens and softens over a very short time, usually in 3 days, predisposing the fruit to physical damage and phyto-pathogen invasion even with careful handling further shortening postharvest shelf life. The objective of this study was to determine the efficacy of Hexanal, naturally occurring compound, on-farm spray, in managing the postharvest shelf life of papaya in two agro-ecological zones in Kenya. A formulation of Hexanal containing Tween 20 and ethanol was made by volume basis (v/v) and spray treatment at 1 and 2% in “Solo sunrise” and “Mountain” papaya cultivars. The experiment was a randomized block design with ninety-six plants per farm randomly selected. Spraying was applied at 30 days, 30 + 15 days, and 15 days to harvest time on mature green papaya. Control papaya fruits were sprayed with clean tap water as control. Data were collected on color changes and fruit retention on tree. The fruits were harvested when two to three yellow stripes were visible from the lower end of the fruits for postharvest analysis. Hexanal sprayed papaya fruits were retained for at least 13 days longer compared to the control fruits on tree. Hexanal treatment at 2% revealed an improved effect on managing papaya postharvest shelf life. All fruits treated with Hexanal significantly showed reduced rate of color break, softening, and enhanced extension of fruit shelf life by at least 6 days. Hexanal treatment also delayed ethylene and respiratory peaks by three days and showed no significant ( P ≤ 0.05 ) difference in the levels of total titratable acidity and total soluble solids. The results of this study indicate that Hexanal applied as a preharvest spray on mature green “Solo sunrise” and “Mountain” papaya cultivars grown in Kenya, is effective in prolonging shelf life and postharvest quality.
Access to Ru(IV)–Ru(V) and Ru(V)–Ru(VI) Redox in Layered Li7RuO6 via Intercalation Reactions

The limits of the storage capacity based on the conventional cationic redox in LiTMO 2 could be transcended by multi-electron redox, leading to transformational increases in the capacity. Yet the compounds displaying this high valent redox are still limited. This reactivity was exhibited in Li 7 Ru(V)O 6 once specifically predicted to have oxygen activity due to high O/TM ratio, rendering it a unique model system. Herein, a comprehensive X-ray spectroscopic analysis and computational simulations was performed, and the redox activity within varied voltage window was compared. Li 7 RuO 6 exhibits a highly reversible lithiation to Li 8 RuO 6 below 2.6 V vs. Li + /Li 0 , with a conventional charge compensation mechanism through the formal Ru(V)/Ru(IV) redox couple. In turn, it can also undergo anodic Li deintercalation at 3.68 V, which involves both Ru and O activity via O 2 p -Ru 4 d covalent interaction. Unlike other Ru(V) counterparts, Li 7 RuO 6 shows clear evidence of a highly reversible formation of Ru(VI) upon delithiation, while maintains the structural integrity by involving the Ru(V)/Ru(IV) couple. The comparison with other Ru(V) oxides highlights the versatility of the Ru-O bond to undergo distinct redox transitions depending on the specific layered arrangements in an ordered rocksalt. This report enriches our understanding of redox chemistry in solids, while underscoring the need for nuanced descriptions of the electronic states involved that reflect the nuance of covalent interactions via the organic combination of X-ray spectroscopy and theoretical computation.
Constrained total least squares applied to superresolution array processing

The constrained total least squares (CTLS) method, a regularization technique for solving an overdetermined system of linear equations whose coefficients have been perturbed by noise, is described. The CTLS technique can be used to estimate the direction of arrival of planar wavefronts impinging on a uniform array. Simulation results are presented that show that the accuracy and resolution of the CTLS method, when applied to real or simulated data, are equal or superior to those of other techniques. <<ETX>>
Local placement test retrofit and building language assessment literacy with teacher stakeholders: A case study from Colombia

This article provides a single, common-case study of a test retrofit project at one Colombian university. It reports on how the test retrofit project was carried out and describes the different areas of language assessment literacy the project afforded local teacher stakeholders. This project was successful in that it modified the test constructs and item types, while drawing stronger connections between the curriculum and the placement instrument. It also established a conceptual framework for the test and produced a more robust test form, psychometrically. The project intersected with different social forces, which impacted the project’s outcome in various ways. The project also illustrates how test retrofit provided local teachers with opportunities for language assessment literacy and with evidence-based knowledge about their students’ language proficiency. The study concludes that local assessment projects have the capacity to benefit local teachers, especially in terms of increased language assessment literacy. Intrinsic to a project’s sustainability are long-term financial commitment and institutionally established dedicated time, assigned to teacher participants. The study also concludes that project leadership requires both assessment and political skill sets, to conduct defensible research while compelling institutions to see the potential benefits of an ongoing test development or retrofit project.
DUALISME PEMAKNAAN ASAS LEX SPECIALIS DEROGAT LEGI GENERALI.

<p align="center"><strong>ABSTRAK </strong></p><p><em>Penelitian ini bertujuan untuk mengetahui sejauh mana dualisme pemaknaan asas lex specialis derogat legi generali pada kasus pelecehan seksual sesama jenis. Penelitian ini merupakan penelitian normatif atau doktrinal dengan menggunakan bahan-bahan hukum primer maupun bahan-bahan hukum sekunder. Teknik pengumpulan data dalam penelitian ini menggunakan studi kepustakaan yang kemudian langkah analisis menggunakan analisis deduktif dengan premis mayor dan premis minor yang kemudian ditarik konklusinya. Berdasarkan hasil penelitian ini dapat disimpulkan bahwa ternyata asas lex specialis derogat legi generali ketika diterapkan dalam suatu kasus tertentu dalam hal ini kasus pelecehan seksual sesama jenis ternyata mengalami dualisme pemaknaan di satu sisi sesuai dengan teori wadah yang menekankan pada undang-undang mana yang lebih umum mana yang undang-undang yang lebih khusus, sedangkan di sisi yang lain sesuai dengan teori konten atau isi yang menitikberatkan pada kesesuaian tekstual dengan konteks kasus yang terjadi di realita. </em></p><p><strong>Kata Kunci : dualisme asas, <em>lex specialis derogat legi generali, </em>pelecehan seksual sesama jenis. </strong></p><p align="center"><strong> </strong></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>T</em><em>his study aims to determine the extent to the dualism of lex specialis derogat legi generali is understood in cases of same-sex sexual </em><em>harassment</em><em>. This research is a normative or doctrinal study using primary legal materials as well as secondary legal materials. Data collection techniques in this study used a literature study which then analyzed the steps using deductive analysis with a major premise and a minor premise which then withdrew its conclusions. Based on the results of this study it can be concluded that it turns out that the principle of lex specialis derogat legi generali when applied in a particular case</em><em>,</em><em> in this case</em><em>,</em><em> the case of same sex sexual </em><em>harrasment</em><em> turns out to have a dualism of meaning</em><em>. </em><em> </em><em>O</em><em>n the one hand according to the theory of the container which emphasizes which laws are more common which the law is more specific, while on the other hand it is in accordance with content theory or content which focuses on textual conformity with the context of the case that occurs in reality. </em></p><p><strong><em>Keywords:</em></strong><strong><em> dualism of the principle, lex specialis derogat legi generali, same-sex sexual harassment. </em></strong><strong><em> </em></strong><strong><em></em></strong></p>
Engine rotor health monitoring: an experimental approach to fault detection using a machine fault simulator

Turbine engine components are continuously being improved and updated to meet flight safety and durability requirements. This leads to having engine manufacturers try to fulfill their commitments in securing products that offer superior operational security and strength. Most of their concerns or interest lies in the developments of the rotating components such as the rotor disk. These components typically undergo severe operating conditions and are subject to high centrifugal loadings which expose them to various failure mechanisms [1, 2]. Therefore, to alleviate these design issues, health monitoring, experimental testing and analytical validations are a must. As a result, simulation tests studies are conducted to emulate faults in a rotating disk using a highly specialized machinery fault simulator (MFS) with capabilities to replicate problems with balancing, alignments, and bearing defects. Consequently, this paper is focused on demonstrating the applicability of having such technical innovation to help assess the health of a turbine engine like rotating components employing a rotor dynamics approach. This study takes the fault vibration readings at multiple motor speeds and discusses how they can be related to real faults in other machines such as engines and transmissions. Data obtained from these tests related to investigating rotor vibration response under imbalance and shaft misalignments conditions based on frequency and amplitude measurements are presented.
A Novel Approach for Feature Selection and Classification of Diabetes Mellitus: Machine Learning Methods

An active research area where the experts from the medical field are trying to envisage the problem with more accuracy is diabetes prediction. Surveys conducted by WHO have shown a remarkable increase in the diabetic patients. Diabetes generally remains in dormant mode and it boosts the other diseases if patients are diagnosed with some other disease such as damage to the kidney vessels, problems in retina of the eye, and cardiac problem; if unidentified, it can create metabolic disorders and too many complications in the body. The main objective of our study is to draw a comparative study of different classifiers and feature selection methods to predict the diabetes with greater accuracy. In this paper, we have studied multilayer perceptron, decision trees, K-nearest neighbour, and random forest classifiers and few feature selection techniques were applied on the classifiers to detect the diabetes at an early stage. Raw data is subjected to preprocessing techniques, thus removing outliers and imputing missing values by mean and then in the end hyperparameters optimization. Experiments were conducted on PIMA Indians diabetes dataset using Weka 3.9 and the accuracy achieved for multilayer perceptron is 77.60%, for decision trees is 76.07%, for K-nearest neighbour is 78.58%, and for random forest is 79.8%, which is by far the best accuracy for random forest classifier.
Kalman Filter Effective to Hydrologic Routing

Approaching flood can be likened to a oncoming missile, and flood routing is viewed as to build an anti-missile system. The applications of the Kalman filter to hydrologic models are not suitable. The Kalman filter fails to yield totally effective predictions in the hydrologic routing by the fact that any specific objective (peakflow) cannot be designated in advance. Without predetermined objectives, the predicted flows cannot catch the real values but follow the traces of the real hydrograph.
A printed wide-beamwidth circularly polarized antenna via two pairs of radiating slots placed in a square contour

A low-profile circularly polarized (CP) slot antenna to achieve a wide axial-ratio (AR) beamwidth is proposed in this paper. The radiating patch consists of two orthogonal pairs of parallel slots etched symmetrically onto a ground plane. Firstly, our theoretical study demonstrates that the CP radiation can be satisfactorily achieved at the broadside, when the vertical and horizontal paired-slots are excited in the same amplitude with 90° phase difference. Secondly, the principle of CP radiation of the proposed antenna on an infinite ground plane is described. Through analyzing the spacing between two parallel slots, the |Eθ| and |Eφ| radiation patterns can be made approximately identical with each other over a large angle range. As such, the slot antenna achieves a wide AR beamwidth. After that, the 3 dB AR beamwidth with respect to the size of a finite ground plane is investigated to constitute a practical CP antenna on a finite ground plane. In final, the proposed CP antenna with a 1–4 probe-to-microstrip feeding network is designed and fabricated on a finite ground plane of a dielectric substrate. Measured results are shown to be in good agreement with the simulated ones about the gain, reflection coefficient, AR bandwidth, and radiation patterns. Most importantly, a wide 3 dB AR beamwidth of 126° and low-profile property with the height of 0. 036λ0 are achieved.
Anticancer, Antibacterial, Antioxidant, and DNA-Binding Study of Metal-Phenalenyl Complexes

Phenalenyl (PLY)-based metal complexes are a new addition to the metal complex family. Various applications of metal-based phenalenyl complexes (metal-PLY) have been reported, such as catalyst, quantum spin simulators, spin electronic devices, and molecular conductors, but the biological significance of metal-PLY (metal = Co(II), Mn(III), Ni(II), Fe(III), and Al(III)) systems has yet to be explored. In this study, the anticancer properties of such complexes were investigated in ovarian cancer cells (SKOV3 and HEY A8), and the cytotoxicity was comparable to that of other platinum-based drugs. Antibacterial activity of the metal-PLY complexes against both gram-negative (E. coli) and gram-positive (S. aureus) bacteria was studied using a disk diffusion test and minimum inhibitory concentration (MIC) methods. All five metal-PLY complexes showed significant antibacterial activity against both bacterial strains. The antioxidant properties of metal-PLY complexes were evaluated following the 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging method and were acceptable. The DNA-binding properties of these metal-PLY complexes were investigated using absorption spectroscopy, fluorescence spectroscopy, viscosity measurements, and thermal denaturation methods. Experimental evidence revealed that the complexes bind to DNA through intercalation, and the molecular docking study supported this conclusion.
Model-free adaptive control of evaporators

This paper describes the application of an evaporator control system using a multivariable model-free adaptive (MFA) controller. The concept of model-free adaptive control is introduced. The system structure and commissioning steps are discussed. The successful application of controlling this severely coupled nonlinear multivariable process shows the merits of model-free adaptive control, where complex systems can be controlled requiring no quantitative process knowledge, no process identification, no controller design, and no complicated manual tuning.