Miracle-dz/UniFAR-FTUs huggingface dataset:
Multisensor-Driven Motor Fault Diagnosis Method Based on Visual Features

Generalization ability is a critical property for practical motor fault diagnosis (FD). By converting time-series to images, several studies have made certain achievements. However, they still have following limitations. First, multisensor information fusion is rarely considered. Second, it is time consuming. To deal with the abovementioned problems, a multisensor-driven FD method based on visual features is proposed. Specifically, a color symmetrized dot pattern method is newly designed to infuse three multisensor signals to image. Next, a coarse and refined diagnosis framework is designed. In the coarse part, the color histogram features and a support vector machine (SVM) are utilized, and a threshold is selected to decide the coarse diagnostic samples. In the refined part, the gist (GIST) descriptor and another SVM are used to diagnose remaining samples. The results on induction motor and permanent magnet synchronous motor show that the proposed method achieved reliable diagnosis with relatively efficiency, and can generalize to different working conditions and noise.
The Influence of User Experience on Consumption Intention: A Study of Smart Home Appliances in China

Smart appliances will become the direction of home development in future. However, smart appliances still have some problems in user experience. This study determines the dimensions of the smart appliances scale from two fields of industrial design and marketing management, divides them into five dimensions: sensory experience, performance experience, interactive experience, emotional experience, and associative experience, and discusses the relationship between these five dimensions and user consumption intention. At the same time, it studies gender differences in the relationship between the five dimensions of user experience and consumption intention. The data was collected through a questionnaire from 378 Chinese smart home appliance consumers. Using SPSS and the AMOS-SEM method to analyze the data, the results show that user sensory experience, performance experience, interactive experience, emotional experience, and associative experience have a significant positive influence on the consumption intention of smart appliances. It is further found that there are no gender differences between user experience and consumption intention. This study also proposes four strategies for marketing smart home appliances in China.
Technology and Quality of Life of Older People in Times of COVID: A Qualitative Study on Their Changed Digital Profile

The situation caused by the COVID-19 pandemic brought negative consequences such as social isolation, limited access to routine health and social care services, and lack of self-esteem, especially for older people. In this context, technology took on an important role as the main means of communication and service delivery. The main objective of this study is to analyze the situation of the elderly and their access to technological resources in the time of COVID-19. Based on a qualitative methodology, 58 semi-structured interviews were conducted with people between 65 and 90 years old in Portugal. The results reveal specific difficulties in the use of this type of digital devices and a change in the digital use profile of this age group, characterized by more frequent use of digital devices such as smartphones, the incorporation of certain services such as video calls, and uses associated with communication and entertainment. This study shows that attitudes toward technology among the elderly should be studied further, and these results should be considered to develop and implement training programs specially designed for this age group in order to contribute to their well-being and quality of life.
Predictive Factors Affecting the Development of Central Lymph Node Metastasis in Papillary Thyroid Cancer

Objectives The most common subtype of thyroid cancer is papillary thyroid cancer (PTC); lymph node metastases are common in this disease. Factors affecting the development of central lymph metastasis of PTC determine the treatment modality and prognosis of the disease. In this study, we aimed to evaluate the clinicopathologic features affecting the development of central lymph node metastasis. Methods The data of a total of 346 PTC patients who were operated between May 2012 and September 2020 in our clinic and whose follow-up could be reached were evaluated retrospectively. Demographic data, surgical treatment modalities, and histopathological data of all patients were evaluated as a result of at least 6 months of follow-up. Patients age, sex, body mass index, pre-operative TSH levels, anti-TPO, and anti-Tg values at the time of diagnosis, whether lymph node dissection is performed, presence of lymph node metastasis, presence of distant metastasis, stage at the time of diagnosis (TNM 8th edition), ATA risk group at the time of diagnosis, multifocal and/or multicentric (bilaterality), largest tumor size, aggressive histological subtype, lymphovascular invasion of the tumor, extrathyroidal invasion, presence of lymphocytic thyroiditis, and surgical margin positivity were evaluated retrospectively. Results In the development of PTC central metastasis, distant metastasis, tumor size, multifocality, multicentricity, presence of lymphovascular invasion, aggressive tumor subtype, presence of lateral metastasis, nodular goiter, and extrathyroidal spread were found to be effective. Among these factors, T stage, presence of lymphovascular invasion, and multicentricity were identified as independent risk factors for the development of central metastasis. Conclusion Today, the investigation of predictive factors for the development of nodal metastasis in PTC does not seem to be out of date anytime soon. In our study, T stage, presence of lymphovascular invasion, and multicentricity were identified as independent risk factors for the development of central metastasis from the histopathological features of the tumor in PTC and of these features, T stage and multicentricity can be predicted by pre-operative imaging in many patients and can be used to decide whether to perform prophylactic SLN dissection in patients. However, new studies are still needed on this issue, in the literature.
Fluoroquinolones Hybrid Molecules as Promising Antibacterial Agents in the Fight against Antibacterial Resistance

The emergence of bacterial resistance has motivated researchers to discover new antibacterial agents. Nowadays, fluoroquinolones keep their status as one of the essential classes of antibacterial agents. The new generations of fluoroquinolones are valuable therapeutic tools with a spectrum of activity, including Gram-positive, Gram-negative, and atypical bacteria. This review article surveys the design of fluoroquinolone hybrids with other antibacterial agents or active compounds and underlines the new hybrids’ antibacterial properties. Antibiotic fluoroquinolone hybrids have several advantages over combined antibiotic therapy. Thus, some challenges related to joining two different molecules are under study. Structurally, the obtained hybrids may contain a cleavable or non-cleavable linker, an essential element for their pharmacokinetic properties and mechanism of action. The design of hybrids seems to provide promising antibacterial agents helpful in the fight against more virulent and resistant strains. These hybrid structures have proven superior antibacterial activity and less susceptibility to bacterial resistance than the component molecules. In addition, fluoroquinolone hybrids have demonstrated other biological effects such as anti-HIV, antifungal, antiplasmodic/antimalarial, and antitumor activity. Many fluoroquinolone hybrids are in various phases of clinical trials, raising hopes that new antibacterial agents will be approved shortly.
Myocardial fibrosis detection using kernel methods: preliminary results from a cardiac magnetic resonance study

Type of funding sources: None. Asserting the presence of myocardial fibrosis from cardiac magnetic resonance (CMR) images is sometimes a complex task, even for experienced cardiac imagers. The application of artificial intelligence models to the evaluation process can be of help for enhancing diagnostic accuracy. In this work, we tested two different Machine Learning (ML) algorithms, namely kernel methods with Support Vector Machine (SVM) and Convolutional Neural Network (CNN) to a cohort of consecutive CMR studies. The goal was a binary classification task, aimed to identify myocardial scar (present/absent). Dataset consisted of 642 CMR scans, equally divided into healthy and fibrosis-affected. Raw DICOM files were preprocessed through an automated pipeline, in order to retrieve only short-axis post contrast acquisitions. Heart regions were then individuated using a YOLO network, in order to remove the background and focus only on data of interest. Finally, for each subject 10 slices were extracted through interpolation, and all images resized to 128 by 128 pixels. Dataset was divided into training and test sets, with proportions 80%-20%. The first analysis was based on state-of-the-art CNN models, pre-trained on the ImageNet dataset. The training of the models was optimized using "reduce learning rate on the plateau", "early stopping", and standard data augmentation techniques. Experiments showed that CNNs-based models led to poor performances. The second attempt was based on kernel methods and SVM. Before feeding the input to the algorithm, dimensionality reduction was implemented using a Principal Component Analysis retaining 99% of the variance. The resulting 335 features were passed as input to an SVM, testing different kernels (e.g. Linear, Gaussian, Cossim). Models were trained and optimized using a Grid Search with a 5-fold Cross-Validation. The best SVM configuration displayed an accuracy of 68% and a sensitivity of 60%. Improved results could be obtained using state-of-the-art Multiple Kernel Learning algorithms, leading to 71% accuracy and sensitivity of 72% (with a 12% increment with respect to the previous algorithm). Our preliminary results of this study showed the possibility for a ML system to learn to identify myocardial fibrosis, directly from raw CMR images. In particular, kernel methods were able to achieve good and significant results, even with small amounts of data, suggesting room for improvement. In future works, we plan to furtherly explore kernel methods to improve the results and to build an end-to-end solution for cardiac imagers.
It’s the Effort That Counts: The Effect of Self-Control on Goal Progress Perceptions

Does the amount of self-control consumers must exert to choose a goal-consistent action influence their perceptions of goal progress? For example, if you choose to go to the gym when one of your favorite TV shows is on (vs. when nothing interesting is on TV), do you perceive that you have made a differential amount of progress toward your goal, despite completing the exact same workout? In eight studies (N = 7,515), the authors demonstrate that consumers perceive that they have made more progress on their goals when more (vs. less) self-control is required to choose to complete an identical goal-consistent task. This is because when consumers exert more (vs. less) self-control to choose a goal-consistent task over the goal-inconsistent alternatives, they infer higher commitment to the goal. The higher inferred commitment, in turn, leads consumers to perceive that future goal pursuit will be easier. The authors demonstrate this effect across a variety of tasks and means of exerting self-control, as well as with both hypothetical scenarios and real-behavior studies.
X-RAY PERSPECTIVE OF THE TWISTED MAGNETOSPHERES OF MAGNETARS

Anomalous X-ray pulsars (AXPs) and soft gamma-ray repeaters (SGRs) are recognized as the most promising magnetar candidates, as indicated by their energetic bursts and rapid spin-downs. It is expected that the strong magnetic field leaves distinctive imprints on the emergent radiation both by affecting the radiative processes in atmospheres of magnetars and by scattering in the upper magnetospheres. We construct a self-consistent physical model that incorporates emission from the magnetar surface and its reprocessing in the three-dimensional (3D) twisted magnetosphere using a Monte Carlo technique. The synthetic spectra are characterized by four parameters: surface temperature kT, surface magnetic field strength B, magnetospheric twist angle Δ φ ? > , and the normalized electron velocity β. We also create a tabular model (STEMS3D) and apply it to a large sample of XMM-Newton spectra of magnetars. The model successfully fits nearly all spectra, and the obtained magnetic field for 7 out of the 11 sources are consistent with the values inferred from the spin-down rates. We conclude that the continuum-fitting by our model is a robust method to measure the magnetic field strength and magnetospheric configuration of AXPs and SGRs. Investigating the multiple observations of variable sources, we also study the mechanism of their spectral evolution. Our results suggest that the magnetospheres in these sources are highly twisted ( Δ φ > 1 ? > ), and the behavior of magnetospheric twisting and untwisting is revealed in the 2002 outburst of 1E 2259+586.
Assessment of electronics course outcomes

Electronics as a course is one of the essential courses in the BSc EEE program and its outcomes are indicators of success. The main aim of this research work is to assess and evaluate the course outcomes of the electronics course of the Bachelor of Science in Electrical and Electronic Engineering program, incorporating higher-order thinking skills and complex engineering problem-solving skills among the students. To compute and appraise the course outcomes of this course and hence its impact on the program outcomes, we used direct assessment data from various formative and summative assessment tests during a particular semester. Finally, statistical analysis is performed to check whether a particular student cohort of electronics courses could achieve this or not. All of the participating students have attained the benchmark set before the start of the course. Finally, course survey results and a few recommendations are provided as a measure of the continuous quality improvement method. Keywords: Assessment; Electronics; Evaluation; OBE; CO.
Assembling the superior biofloc tilapia strains for industry

The decreasing productivity and increasing environmental pressure on intensive tilapia culture in open waters, especially in floating net cages, have forced the development of a biofloc system for tilapia farming. This study aimed to develop the superior tilapia strain suitable for the biofloc system and to observe their productivity and economic profitability under commercial scale in the biofloc system. The selective breeding activity was carried out on 100 families reared and mated in hapa (a double-walled contrivance in which an inner hapa, made of mosquito netting material, is installed within an outer one made of whole cloth) in the biofloc pond for three generations. The individual selection was conducted at the age of 6 months on the characters of standard length and body weight with the best 10% of the top part of the population as a reference for the formation of the next generation. After three generations, the offspring obtained from mass spawning were grown out in round-limen ponds and square-concrete ponds for productivity and profitability observations. The results showed that heritability values of the biofloc tilapia strain were 0.4196 (standard length, SL) and 0.4898 (body weight, BW). The average response selection of BW and SL was 13.04% and 6.11%, respectively. Biomass gain was obtained between 19.29–28.83 kg/m3. The production multiply value was 8.07-13.59x. The average daily weight growth was between 2.8g-3.0g. The Benefit-Cost ratio is valued from 1.81 to 2.71. The superior tilapia biofloc strain has a moderate heritability value. When it is raised in a biofloc ponds system at different volumes, it significantly affects the productivity on biomass, body weight, and multiplication value. Also, it is advantageous when applied on an industrial scale.
The Effect of a Theory-Based Educational Intervention on Reducing Aggressive Behavior among Male Students: A Randomized Controlled Trial Study

Introduction One of the most challenging issues in public health is preventing aggression and violent behavior, generally in the adolescent population. Intervention studies in this field, especially in Iran, were few. Moreover, their findings are controversial. Therefore, this study was conducted to investigate the effect of educational intervention based on the theory of planned behavior (TPB) on reducing aggression among male students. Method This study used a randomized controlled trial design. The sample comprised 98 middle school students aged between 13 and 16 years (14.28 ± 0.7). Educational intervention for the experimental group consisted of five sessions of 45-60 minutes. Data were collected using two self-administered questionnaires to measure aggression and constructs of TPB. Data were analyzed using paired t-test, independent t-test, and chi-square test at a significance level of 0.05. Results After the intervention, the experimental group showed a significant increase in all TPB constructs except the subjective norms, compared to the control group (p < 0.001). After two months of intervention, the mean score of the aggression behaviors in students in the experimental group showed a remarkable improvement in the experimental group, while the control group showed no significant difference. Conclusion The findings of this study showed that the theory-based educational intervention was effective on the improvement of aggressive behavior. To achieve a significant change in perceived mental norms, more training sessions are recommended, and emphasis is placed on educating parents, peers, and school staff.
Mesenchymal Stem Cell Use in Acute Tendon Injury: In Vitro Tenogenic Potential vs. In Vivo Dose Response

Stem cell therapy for the treatment of tendon injury is an emerging clinical practice in the fields of human and veterinary sports medicine; however, the therapeutic benefit of intralesional transplantation of mesenchymal stem cells in tendonitis cases is not well designed. Questions persist regarding the overall tenogenic potential and efficacy of this treatment alone. In this study, we aimed to isolate a rat mesenchymal stem cell lineage for in vitro and in vivo use, to assess the effects of growth factor exposure in vitro on cell morphology, behavior, and tendon-associated glycoprotein production, and to assess the therapeutic potential of intralesional stem cells, as a function of dose, in vivo. First, rat adipose-derived (rAdMSC) and bone marrow-derived (rBMSC) stem cell lineages were isolated, characterized with flow cytometric analysis, and compared in terms of proliferation (MTS assay) and cellular viability (calcein AM staining). Rat AdMSCs displayed superior proliferation and more homogenous CD 73, CD 44H, and CD 90 expression as compared to rBMSC. Next, the tenogenic differentiation potential of the rAdMSC lineage was tested in vitro through isolated and combined stimulation with reported tenogenic growth factors, transforming growth factor (TGF)-β3 and connective tissue growth factor (CTGF). We found that the most effective tenogenic factor in terms of cellular morphologic change, cell alignment/orientation, sustained cellular viability, and tendon-associated glycoprotein upregulation was TGFβ3, and we confirmed that rAdMSC could be induced toward a tenogenic lineage in vitro. Finally, the therapeutic potential of rAdMSCs as a function of dose was assessed using a rat acute Achilles tendon injury model. Amounts of 5 × 105 (low dose) and 4 × 106 (high dose) were used. Subjectively, on the gross morphology, the rAdMSC-treated tendons exhibited fewer adhesions and less scar tissue than the control tendons; however, regardless of the rAdMSC dose, no significant differences in histological grade or tissue collagen I deposition were noted between the rAdMSC-treated and control tendons. Collectively, rAdMSCs exhibited appropriate stem cell markers and tenogenic potential in vitro, but the clinical efficacy of intralesional implantation of undifferentiated cells in acute tendonitis cases could not be proven. Further investigation into complementary therapeutics or specialized culture conditions prior to implantation are warranted.
MPPT PV Modeling with ANN Using Matlab Simulink

Paper this presents the Matlab /Simulink model of PV module and maximum system tracking point power (MPPT). Maximum Power Point Tracking (MPPT) is something method for track (track) the point power a source energy to produce power maximum . one _ MPPT method that can applied to a photovoltaic system is fractional open voltage method . Common problems _ happen to the system source voltage using photovoltaic is not suit Among load and power generated . _ This thing occur due to source sourced voltage _ of photovoltaic is strongly influenced by the conditions radiation and temperature around . For resolve Thing this so required something battery for keep the power that will used as source voltage . There are various methods and ways for realize MPPT control , including perturb and observe, incremental conductance, constant voltage, and parasitic capacitance . Method the have many disadvantages , among others , quite expensive and difficult implemented . There are various method for realize MPPT controller , one of them is with use network nerves imitation (ANN). MPPT ANN technique effective increase speed tracking and upgrading power output per day from one PV modules from 3.37 kW h to 3.75 kW h, i.e. percentage 11.28%. Enhancement power output from PV prove tested advantages _ with techniques that can reduce sufficient cost _ big of the generated kWh
The genus Tegostoma in Armenia, with description of a new species (Crambidae, Odontiinae)

A small but beautifully coloured species of Tegostoma Zeller, 1847, which was collected by the authors in Armenia, has turned out to be unnamed and is here described as Tegostoma burtoni sp. nov. The description is supported by morphology and DNA barcodes . Photographs of the adults and genitalia of both sexes are provided. Tegostoma lepidalis (Herrich-Schäffer, 1851) and Pyrausta gulpembe Kemal & Koçak, 2018 are recorded as new species for Armenia.
A new deep-sea genus and species of Eriopisidae (Crustacea: Amphipoda: Senticaudata) from the Gulf of Mexico

ABSTRACT A new monotypic genus of eriopisid amphipod Bathypisella gen. nov. is described and illustrated. The specimens were collected on sediments from the southern Gulf of Mexico, at 884 m depth, aboard the R/V Justo Sierra. The new eriopisid herein described differs from other genera mainly by bearing coxae 1–7 with a posteroventral notch; pleonal and urosomal segments dorsally toothed, and without setae; pereopod 7 basis narrow; and telson with 2 robust setae dorsally. The new genus and species increase the number of eriopisid genera recorded to 19 worldwide, and the deep-sea benthic amphipods (below 200 m) from the Gulf of Mexico to 20. http://www.zoobank.org/urn:lsid:zoobank.org:pub:9AD78AF7-A9E1-4F12-92E6-731E5D86426B http://www.zoobank.org/urn:lsid:zoobank.org:pub:0AF59764-915F-4E11-BEB6-D2D911805726