Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation LSTM Algorithm for Cervical Cancer using Colposcopy Data

Cervical cancer ranks second highest cause of death in women in various worlds. This happens because most women are not aware of the symptoms of cervical cancer in the early stages. To reduce the number of deaths caused by cervical cancer by identifying the symptoms of cervical cancer in the early stages. Identification of early symptoms of cervical cancer can be made with colposcopy tests that produce colposcopy image data. Colposcopy test is a method to identify cervical cancer based on images of the cervix with an enlargement of up to 10 times and it gets accurate results. Accuracy results from colposcopy tests can be improved by using computational calculations. Besides being used to improve accuracy, computational calculations also make it easier for people to detect cervical cancer. In this study, computational calculations are performed by implementing the Long Short-Term Memory (LSTM) algorithm to identify cervical cancer using colposcopy data. The implementation of the LSTM algorithm in the classification process of colposcopy data with an optimal number of hidden layers of 150 hidden layers results in an accuracy rate of 66%.
Optical Properties of Plasmonic Material Based on Modified D-Shaped Photonic Crystal Fiber

A highly sensitive D-shaped photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor for refractive index (RI) detection is presented in this paper. Plasmonic materials are set down outside of the fiber structure to distinguish the adjustments in the analyte refractive index. Using the finite-element method (FEM) method with a circular perfectly matched boundary layer (PML) plasmonic optical properties of silver (Ag), gold (Au) and copper (Cu) have been simulated, investigated and compared. The designed D-shaped PCF-based SPR sensor provides highest wavelength sensitivity for Ag 8000 nm /RIU, Au 5000 nm /RIU, Cu 5000 nm /RIU (refractive index unit), respectively and maximal amplitude sensitivity for Ag of 3858 RIU−1, Au of 911 RIU−1, Cu of 1523 RIU−1. Industrial 4.0 which refers to the fourth industrial revolution will much more relay on industrial internet of things (IIOT) and machine to machine communication. Therefore, this types of nanoscale SPR sensor will open a new horizon for industry 4.0.
Atrial Fibrillation and Premature Contraction Classification Using Convolutional Neural Network

Irregular rhythm is the common classification of arrhythmia. The abnormality of heart is described as arrhythmia. This abnormality or functioning of heart is recorded and interpret as Electrocardiogram (ECG) signals. These signals have appropriate information regarding type of arrhythmia. It is tedious to analyze manually ECG signals because of their non-linearity and intricacy. In this write up, a distinct calculative AI based methodology used for ECG signal which is Deep learning. The proposed methodology achieves with ECG data inputs which is transfigured into ECG images by mapping single ECG beat as individual 96x96 image and these images passed to the CNN. It learn the key features of used Atrial Fibrillation (AFB) arrhythmia database which is used for classification. These autonomous features directly learn by the CNN model with having different layers from ECG signal. This method will remove the human error to specify the diagnostic feature while working with big data. The case study and results show evident and approve the capability of the learned features for atrial fibrillation and flutter. The CNN classifier is used for classification which gives good results.
The current feedforward compensation method for the cogging torque of permanent magnet synchronous motors

The cogging torque is the inherent characteristic of permanent motors with the cogging. The cogging torque reduces the stability of the motor, especially in the status of the low speed. A compensation method based on the current feedforward is proposed in terms with the function between the torque and Q-Current by the method of Space Vector PWM of the permanent magnet synchronous motors. The relation equation between the cogging torque and the rotor angle is obtained by the experimental analysis. And then, the transfer function of the current closed-loop system is obtained by using the experiment data and the system identification method. The cogging torque compensation current is calculated by the forecast for the position of the rotor. The experiment results show that the presented method can effectively improve the stability of the motor speed.
Communicating change: the influence of information, communication, uncertainty and cynicism on readiness for change

Purpose: In previous studies we have shown the influence of information and communication on the success of organizational change. We extended that research with the inclusion of cynical responses to top management about the change, change fatigue and turnover intentions. Methodology: This study was conducted by the Organizational Members’ Support for Organizational Change (OMSOC) questionnaire, an extension of a previous questionnaire. The questionnaire was used in four different Dutch organizations. Findings: We found that various information and communication variables had a significant influence on those uncertainties created by organizational change that related to employee support for the change, and willingness to contribute to the success of the change. We also found that the role of top managers and that of uncertainty had a significant influence on change fatigue and employee cynical responses to the change. Managerial implications: This study empirically supports the important role of communication during organizational change, and the crucial role that top management and direct supervisors have in creating a workforce prepared to face the challenges. If not done properly, the organization will face several employee uncertainties concerning the direction the organization is heading in, the future arrangements in the organization, and job insecurity. These uncertainties can then produce negative organizational consequences.
People expressing olfactory and visual cues of disease are less liked

For humans, like other social animals, behaviour acts as a first line of defence against pathogens. A key component is the ability to detect subtle perceptual cues of sick conspecifics. The present study assessed the effects of endotoxin-induced olfactory and visual sickness cues on liking, as well as potential involved mechanisms. Seventy-seven participants were exposed to sick and healthy facial pictures and body odours from the same individual in a 2 × 2 factorial design while disgust-related facial electromyography (EMG) was recorded. Following exposure, participants rated their liking of the person presented. In another session, participants also answered questionnaires on perceived vulnerability to disease, disgust sensitivity and health anxiety. Lower ratings of liking were linked to both facial and body odour disease cues as main effects. Disgust, as measured by EMG, did not seem to be the mediating mechanism, but participants who perceived themselves as more prone to disgust, and as more vulnerable to disease, liked presented persons less irrespectively of their health status. Concluding, olfactory and visual sickness cues that appear already a few hours after the experimental induction of systemic inflammation have implications for human sociality and may as such be a part of a behavioural defence against disease. This article is part of the Theo Murphy meeting issue ‘Olfactory communication in humans’.
Microstructure and Mechanical Properties of In Situ Cast Aluminum Based Composites Reinforced with TiC Nano-Particles

This work concerns microstructure and mechanical properties investigations of aluminum based composite strengthened with the TiC particles being in nanometer size. The composites were fabricated by the casting method combined with in-situ formation of TiC particles. Applying a suitable composition of components and moderators of SHS reaction which occur during casting, it was possible to cast the samples with TiC particles of size of 150 nm and faceted shape. Microstructure investigations using scanning and transmission electron microscopy (SEM and TEM) allowed to identified the distribution of TiC particles and their preferred location in the microstructure of composites. Also the additional precipitates with different size and shape were identified in investigated samples. Significant increase of strength was observed in in-situ cast composites in comparison to Al-1000 alloy mainly due mainly due to coefficient of thermal expansion and elastic modulus mismatch between the reinforcements and the metal matrix, Hall-Pecht relation and also in minority the Orowan effect.
Prediction of Concrete Strength Using Support Vector Machines Algorithm

A laboratory analysis of concrete samples requires significant experimental time and cost. In addition, advancement in data mining provide valuable tool for researchers to extract information regarding relations among experiment and physical properties in a more elaborate way to improve prediction models performance and guide concrete mix design. A 90 samples data set is developed and used in this research. The experiment is designed to study the effect of natural silica addition at different levels on physical properties of concrete mainly compressive strength. Compressive strength is measured after 3 and 28 days for different levels of milling time. Support vector regression and neural network models are developed for predicting the compressive strength of concrete using five input variables including silica additive fraction. The SVR model metrics are compared with ANN model and showed good correlation coefficient of 0.929 but less than ANN. The advantage of SVR over ANN is shown in the developed regression model which can be interpreted physically. The silica fraction variable ranked third after curing time and cement ratio variable which indicates its importance.
Late Sodium Current Inhibitors as Potential Antiarrhythmic Agents

Based on recent findings, an increased late sodium current (INa,late) plays an important pathophysiological role in cardiac diseases, including rhythm disorders. The article first describes what is INa,late and how it functions under physiological circumstances. Next, it shows the wide range of cellular mechanisms that can contribute to an increased INa,late in heart diseases, and also discusses how the upregulated INa,late can play a role in the generation of cardiac arrhythmias. The last part of the article is about INa,late inhibiting drugs as potential antiarrhythmic agents, based on experimental and preclinical data as well as in the light of clinical trials.
Application of Microwave Radiation in Modified Polyol Process for Synthesis Pure, Te-Doped, and Sn-Doped CoSb3 Thermoelectric Materials

Synthesis routes of CoSb3 need a long reaction time, especially at high temperature and-/or high pressure. Although the modified polyol process assisted with microwave radiation can be used to solve these problems, it used the excess amount of Sb ion. Therefore, this study aimed to solve this drawback by retarding the rate of reduction. The different microwave times (0, 1, and 3 min) were investigated to find out the shortest heating duration for preparing CoSb3 nanoparticles. Te-doped and Sn-doped CoSb3 were synthesized to investigate the benefit of this synthesis method for increasing the solubility limit of Te and Sn in the CoSb3 structure. The phase and microstructure of the synthesized products were characterized by using x-ray diffraction (XRD), scanning electron microscope (SEM) and transmission electron microscope (TEM). The results showed that the high crystalline phase of CoSb3 (JCPDS: 78-0977) without any metallic impurity phases product was successfully synthesized in 3 minutes for a heating time at normal pressure, non-excessive addition of Sb ion precursor, and low temperature. The XRD results of Te-doped and Sn-doped CoSb3 products exhibited poor crystalline phase and hard to exactly identify. In SEM and TEM results, the CoSb3 powder consisted of very tiny spherical-like particles around 10 nanometers attaching together even at different microwave time similar to Te-doped/Sn-doped samples.
A Morphological Investigation of Ag/Graphite Oxide/TiO2 Composites for Photocatalysis

To handle persistent toxic organic contaminants in water, advanced oxidation process (AOP) by titanium dioxide (TiO2) and its composites has been extensively utilized. A smart combination of composite materials was synthesized to improve photocatalytic activity of TiO2 via engineering effective charge transfer. In this study, synthesis of Ag/Graphite Oxide (GO)/TiO2 was investigated. Degussa P25 TiO2 (Rutile:Anatase of 85:15, 99.9%, 20nm) nanopowder was purchased. Graphite oxide was prepared using modified Hummer’s method. Photoreduction and ultrasonication were conducted to prepare Ag nanoparticles (AgNPs). XRD was used to confirm formation of Ag- GO- TiO2, i.e., peaks of GO, AgNPs and phases of anatase and rutile of TiO2 P25. Backscattered SEM was used to identify the AgNPs in different compositions of the AgNPs/GO/TiO2 composites. TEM was used for high resolution images to observe sizes and shapes of nanomaterials involved. X-ray absorption near edge structure (XANES) spectra of the Ag L3-edge were used to confirm zero-valence AgNPs. The best performed photocatalyst from this study was 5Ag0.5GOTiO2 with 78.86 % degradation of RhB after 2 hours. The AgNPs were found to be spherical with sizes of around 2-10 nanometers and evenly distributed within the GO/TiO2 matrix.
Research of 316L Metallic Powder for Use in SLM 3D Printing

Abstract 3D metal printing is an increasingly popular production of steel parts. The most widespread and most accurate method is SLM (Selective Laser Melting), which uses metallic powder as the input material. The article is dedicated to researching the supplied powder from Renishaw. The powder is made by gas atomization and 3 phases of powder (virgin, sift and waste) that are present in the SLM process are examined. Powder morphology by SEM electron microscopy is investigated and the porosity of the powder is measured by optical method. Next, the powder grain size fraction is examined. In conclusion, there are recommendations and other directions of possible research. The main quantitative result from research is that, in general, small particles are reduced in the sift powder and the number of larger particles is increased, but the powder is still usable for further use.
Morphometric Characteristics of the Extreme Eastern Algerian Domestic Donkey (Equus asinus)

Abstract The aim of this study was to define the morphometric variability of the extreme Eastern Algerian donkeys. The study was carried out from June to December 2018 in El-Tarf, Souk-Ahras, and Tebessa provinces. The study population involved 65 individuals (32 jacks and 33 jennies) between the ages of 3 and 16 years old. In total, 13 body measurements were used, and 5 zootechnical indexes were calculated. The quantitative and qualitative characteristics were studied in order to establish an ethnic and functional classification of this particular subspecies. The qualitative data demonstrated that the coat colour was variable. Bay and greyish colours were dominant with a respective rate of 61.5 % and 38.5 %, respectively. The head, the nose, as well as the eyes contour colours were mainly grey with 52.3 %, 58.5 % and 50.8 % respectively. The partial absence of the coat particularities was observed. The population presented a significate relationship between the quantitative characters (P < 0.05). The donkeys were longilinear, of a rectilinear profile, compact with massive trends. They had a hyper-metric format. The animals are good for meat production. The General Linear Model (GLM) showed that the body measurements were variable by sex and body mass. The principal component analysis (PCA), the multiple correspondence analyses (MCA) and the ascending hierarchical classification (AHC) revealed that the population was composed of 2 clusters representing 4 animal classes. This study was the first report on the phenotypic characterization of donkeys in the extreme Eastern Algerian area, based on corporal measurements. The results indicated the existence of heterogeneity and suggested the possibilities of genetic improvement within the species.
Competitive Advantages of International Airline Alliances: A Critical Review

Abstract Over the past several decades, airlines have formed and participated in international alliances to seek competitive advantages. However, it is still unclear whether airlines obtain substantial competitive advantages through an international alliance and how to measure the competitive advantages of alliances and airlines. This study presents a critical literature review as a contribution to comprehensive and novel empirical researches in the future.
Microbiological Quality of Slovak Traditional Cheese

Abstract The aim of this study was to investigate the micro-biological quality of traditional Slovak “bryndza” cheese made in Slovakia. Besides the common pathogenic bacteria, we focused on the analyses of verocytotoxigenic Escherichia coli (VTEC), the occurrence of which has been analysed only occasionally in a few products. As we chose food of the highest risk which contained raw milk, we expected several positive findings. The presence of Salmonella spp. , Listeria monocytogenes and Campylobacter spp. was not confirmed. The enumeration of Staphylococcus aureus was more successful. In the case of VTEC stx and eae screening, the presence of genes producing verocytotoxins vtx1, vtx2 and the gene encoding virulent factor intimin—eae in nine samples by molecular-biological methods were revealed. Only one isolate, which carried genes vtx1 a vtx2 and did not belong to these serogroups: O157, O111, O26, O103, O145, or O104, was detected by confirmation assays.
Immunohistochemical and Ultrastructural Studies of Mycoplasma hyopneumoniae Strain in Naturally Infected Pigs in Nigeria

Abstract Enzootic pneumonia caused by hyopneumoniae (MHYO) remains a serious concern to the swine industry in many countries including Nigeria. MHYO strains isolated from pigs from different countries and geographical locations are known to vary in pathogenicity. There is a paucity of information on the pathogenicity of the MHYO strain affecting pigs in Nigeria. This study investigated the pathogenicity of the MHYO strain in naturally infected pigs using immunohisto-chemistry and electron microscopy. Two hundred and sixty four lungs of slaughtered pigs were randomly collected from abattoirs at Abeokuta, Ibadan and Lagos, in Southwest Nigeria. A sub-sample of 104 pneumonic and 20 apparently normal lungs was selected, processed for routine histopathological examination and immunohistochemistry, while 3 lung tissues samples were selected for ultrastructural studies. The most significant microscopic changes observed were suppurative broncho-interstitial pneumonia associated with varying degrees of lymphoid hyperplasia of the bronchus-associated lymphoid tissue (BALT) and thickened alveolar septa due to cellular infiltration consisting predominantly of neutrophils and a few mononuclear cells. Immunohistochemically, MHYO antigen was detected in 86/104 (82.69 %) of MHYO-infected lung tissues and typically exhibited a granular brown reaction on the bronchial and bronchiolar epithelial lining, mononuclear cells in the BALT and luminal cellular exudates within the airways. Transmission electron microscopy revealed numerous Mycoplasma organisms in the lumina of the airways, in between degenerated cilia, while a few Mycoplasmas were located within the alveoli. It was concluded that the MHYO strain detected in this study was pathogenic to pigs and capable of inducing pneumonia, and therefore implicated in the pathogenesis.
Online Survey of Digital Reading by Adults with Low Vision

Supplemental digital content is available in the text. SIGNIFICANCE Access to digital text is increasingly widespread, but its impact on low-vision reading is not well understood. PURPOSE We conducted an online survey of people with low vision to determine what assistive technologies they use for visual reading, their preferred text characteristics, and the time they devote to reading digital and hard-copy text. METHODS One hundred thirty-three low-vision participants completed an online survey. Participants reported the nature and history of their low vision, their usage of different assistive technologies, and time devoted to five visual reading activities. RESULTS The three largest diagnostic categories were albinism (n = 36), retinitis pigmentosa (n = 20), and glaucoma (n = 15). Mean self-reported acuity was 0.93 logMAR (range, 0.1 to 1.6 logMAR). Mean age was 46 years (range, 18 to 98 years). Participants reported on percentage time spent reading using vision, audio, or touch (braille). Seventy-five percent of our participants did more than 50% of their reading visually. Across five categories of reading activities—work or education, news, pleasure, spot reading, and social networking—participants reported more time spent on digital reading than hard-copy reading. Eighty-nine percent of our participants used at least one technology from each of our two major categories of assistive technologies (digital content magnifiers and hard-copy content magnifiers) for visual reading. CONCLUSIONS Despite the growing availability of digital text in audio or braille formats, our findings from an online sample of people with low vision indicate the continuing importance of visual reading. Our participants continue to use technology to access both hard-copy and digital text, but more time is devoted to digital reading. Our findings highlight the need for continued research and development of technology to enhance visual reading accessibility.
Heart Rate Variability After Sprint Interval Training in Cyclists and Implications for Assessing Physical Fatigue

Abstract Hebisz, RG, Hebisz, P, and Zatoń, MW. Heart rate variability after sprint interval training in cyclists and implications for assessing physical fatigue. J Strength Cond Res 36(2): 558–564, 2022—This study evaluated the time- and frequency-domain indexes of heart rate variability (HRV) during sprint interval exercise test (SIXT) and identify the onset of fatigue by HRV concurrent with changes in average (Pavg) and peak (Ppeak) power output, total oxygen uptake (V̇o2tou), and blood hydrogen (H+) and lactate (La−) concentrations. Twenty-seven cyclists performed 4 sets of SIXT in which each set consisted of four 30-second maximal sprints interspersed with 90 seconds of low-intensity cycling. Each set was separated by 25–40 minutes of recovery. Before beginning each set, HRV was analyzed by time (mean normal-to-normal RR intervals [RRNN], SD of normal-to-normal RR intervals [SDNN], and square root of the mean squared difference between successive normal-to-normal RR intervals [RMSSD]) and frequency (total spectral power [T] and very low- [VLF], low- [LF], and high-frequency [HF] spectral power) domain methods. Pavg, Ppeak, and V̇o2tou were recorded in each set, and H+ and La− were measured after each set. RRNN, SDNN, and VLF decreased in the second set, whereas all time and frequency indexes of HRV decreased in the third and fourth set. Pavg and H+ decreased, while V̇o2tou increased in the fourth set. Ppeak decreased in the second, third, and fourth set. Correlations were found between the changes in the time and frequency indexes of HRV with H+, La−, and V̇o2tou. The results indicate that HRV does not reflect the onset of physical fatigue in SIXT as was observed in Pavg and no correlation was found between the changes in HRV with Pavg and Ppeak.