Reviewerly/exHarmony huggingface dataset:
X- Ray Diffraction Studies of Patti Claystone Member of the Campano-Maastrichtian Patti Formation, Southern Bida Basin, North Central Nigeria

X-ray diffraction and field studies were carried out on the Patti Clay Member of the Patti Formation in the southern Bida Basin. The studies involved field collection of samples and XRD laboratory analysis of clay samples in order to determine the dominant clay type, subordinate associated minerals, geologic processes and paleoenvironment of deposition. Field study involved standard litho-description by noting textural properties, facies type, fossil presence, structure and diagenetic effect. Laboratory XRD analysis procedure included sample grinding, XRD recording condition, selection and measurement of reference minerals, quantification of clay minerals using XRD processing software, XPert-Highscore Plus to generate results indicating clay mineral type and other minerals peaks. Lithostratigraphic section is dominated by the alternation of sandstone and claystone layers. The sedimentary structures are planar parallel and cross bedding in nature. The sandstone at Ahoko and along Lokoja-Abuja highway is characterized by liesegang ring and bioturbation structures. XRD results indicated that the Patti Clay Members are dominated by kaolinite with subordinate illite, montmorillonite and zincite in rare cases. The clay members were suggested to be deposited by moderate to low energy of transportation, moderate to low rate of deposition through prograding mechanism in a marginal marine setting. The kaolinite clay was formed by meteoric water reaction with the shallow-seated clay members through leaching of K+, Na+ and silica ions with resultant kaolinite stable at adequate pH that was not acidic.
Dukungan Sosial Keluarga, Efikasi Diri, dan Kecemasan Dapat Mempengaruhi Motivasi Belajar Siswa Saat Melakukan Pembelajaran Daring di Masa Pandemi Covid-19

Introduction: Students' learning motivation during online learning decreases. Objectives: This research was conducted so that students can maintain learning motivation during the online learning method during the Covid-19. Method: This research is a type of quantitative correlation research using a cross-sectional approach, the samples were taken in this study were 74 respondents. The instrument used is a questionnaire via a google form. Result: Based on the results of statistical tests, namely the Spearman rank test using SPSS, the family social support variable was obtained (p-value &lt; 0.05) meaning that there was a correlation or relationship between family social support and learning motivation, and the self-efficacy variable was obtained (p-value &lt; 0.05) meaning that there is a correlation or relationship between self-efficacy and learning motivation, the anxiety variable is obtained (p-value &lt; 0.05), meaning that there is a correlation or relationship between anxiety and student learning motivation during online learning during the Covid-19 pandemic. Conclusion: Based on the research results, there is a significant relationship between family social support, self-efficacy, and student anxiety with learning motivation.
Image Captioning Generator Using CNN and LSTM

Abstract: The project's goal is to come up with a caption for an image. Photograph captioning is the process of making a description for an image. It necessitates an understanding of the important things, their characteristics, and the relationships between them.an image's objects Deep learning techniques have progressed, and as a result, we can create models that can predict the future thanks to the availability of large datasets and computing power. Create captions for a picture This is what we've done in Python-based research in which we applied CNN's deep learning algorithm (Convolutional Neural Networks) and LSTM (Long Short-Term Memory) are two types of neural networks. Combining different types of RNNs (Recurrent Neural Networks) so that computer vision can be used A computer can recognize the context of a picture and present it in the appropriate context
Unveiling the Facets of Virtual Research Culture

With the ongoing trends due to the sudden outbreak of COVID-19, the researcher aims to unfold the perspectives and experiences of teachers, students and administrators in the prevailing research culture of higher educational institutions in an online learning setting during the pandemic. Higher educational institutions aim to strengthen the culture of sharing knowledge, resources, and best practices especially in the area of research. A narrative inquiry was conducted among twelve (12) key informants. Thematic analysis and data triangulation was used in analyzing the data. The findings were three overarching themes which are features of virtual research culture, depiction of virtual research experiences and manifestations in sustaining research culture during the pandemic. The findings further recommended to have a strong and intact leadership which is clearly focused on sustaining the research goals and targets of an institution. This also ensures that the members of an institution embrace a rich and formidable research culture. Likewise having a compelling and research-oriented leaders may encourage the whole university to engage on research activities. There might be virtual limitations encountered but a positive and goal-oriented institution will survive even in the midst of the pandemic.
Face Recognition for Criminal Detection

Abstract: In these days, assessment camera structure wins as a security system at high speed since this structure can screen from remote spots using Web camera joined to video screen by network. Besides, computerized supplies like Web camera, and hard circle drive are proficiently fabricated, and are sold for minimal price. Likewise, execution gain of these mechanized sorts of stuff improves at a fast rate. Current perception camera structure shows dynamic pictures from some oversight areas shot by various Web cameras all the while. Then, this system makes spectator's mind and body tired considering the way that he/she wants to watch enormous number of dynamic pictures been persistently strengthened. Moreover, this structure has a troublesome issue, which is an observer slips over mark of bad behavior. This study eliminates Motion Region from moving individual, and measures Motion Quantity for assessing his/her dynamic state. Also, this recommendation method finds the distinctive place of questionable activity, and checks the degree of risk of the questionable development.
MSR37 Methods for Recovering Missing Longitudinal Biomarker Values from Electronic Health Record Data

Longitudinal biomarker values in EHR data measure patient health and are typically correlated with important adverse events. These data can be valuable in healthcare research (e.g. risk prediction) but are often subject to a high degree of missingness. We develop an imputation approach that leverages and preserves the relationship of the biomarker with adverse events. We demonstrate our approach using carcinoembryonic antigen (CEA) biomarker values in the setting of colorectal cancer (CRC) surveillance, where elevated CEA is associated with recurrence. We used real-world EHR data on patients diagnosed with CRC between 2008-2013 and monitored for recurrence after primary treatment (n=3,156). Patients were followed for up to 5 years, unless recurrence, informative censoring (death, hospice initiation, second primary cancer) or random censoring (membership end) occurred first. To impute missing CEA at 3-month, guideline-consistent intervals, we used a pattern mixture model (PMM) that modeled CEA trajectories as a function of recurrence or censoring event and its timing, since patients with earlier recurrence are expected to have steeper slopes than those with later recurrence. Random measurement error was added to fitted PMM values. We validated our approach by summarizing imputed biomarker values among high-risk (recurrence in 1-2 years), medium-risk (recurrence in 3-5 years), low-risk (no recurrence by 5 years), informatively censored, and randomly censored groups. Imputed trajectories preserved the association between CEA and recurrence risk. Baseline CEA and slope were highest in the high risk group (n=250; baseline=1.15; slope=0.12), followed by medium risk (n=121; baseline=0.78; slope=0.05) and low risk (n=2070; baseline=0.64; slope=0.00). CEA was stable for those with random censoring events (n=280; slope=0.00), but increasing for those with informative censoring events (n=435; slope=0.04). A PMM approach that imputes longitudinal biomarker trajectories, while preserving underlying relationships between biomarker values and adverse events, is feasible and can be applied to several disease areas.
Object Detection using Deep Learning Approach

Abstract: The most often utilized strategies for current deep learning models to accomplish a multitude of activities on devices are mobile networks and binary neural networks. In this research, we propose a method for identifying an object using the pretrained deep learning model MobileNet for Single Shot Multi-Box Detector (SSD). This technique is utilized for real-time detection as well as webcams to detect the object in a video feed.To construct the module, we use the MobileNet and SSD frameworks to provide a faster and effective deep learning-based object detection approach.Deep learning has evolved into a powerful machine learning technology that incorporates multiple layers of features or representations of data to get cuttingedge results. Deep learning has demonstrated outstanding performance in a variety of fields, including picture classification, segmentation, and object detection. Deep learning approaches have recently made significant progress in fine-grained picture categorization, which tries to differentiate subordinate-level categories.The major goal of our study is to investigate the accuracy of an object identification method called SSD, as well as the significance of a pre-trained deep learning model called MobileNet.To perform this challenge of detecting an item in an image or video, I used OpenCV libraries, Python, and NumPy. This enhances the accuracy of behavior recognition at a processing speed required for real-time detection and daily monitoring requirements indoors and outdoors.
Social “Coordinate Axes” and Coordinate Thinking in Humanities Research

This article describes the methods of graphic modelling of social phenomena and the general ideological foundation of visual-spatial thinking on the basis of coordinate and matrix analysis. The paper presents the cases of applying the coordinate axes method in social and political philosophy, which determine the variable vectors of understanding the social in general and its individual elements in particular. Specifically, the experience of synthesizing social matrices and coordinate axes is considered not only as a convenient way to visualize some of the points of socio-philosophical analysis, but also as a methodology for mental experimentation aimed at expanding the range of views on the chosen issue. coordinate modelling is analysed by the author as an important methodological technique in the study of social phenomena, overcoming the abyss of interdisciplinarity. This makes it possible to draw conclusions by analogy by transferring cognitive methodological structures that are neutral in terms of content from one field of knowledge to another, thereby providing fresh perspectives on the existing patterns of thinking and on the analysis of social phenomena. This paper does not claim to present a holistic study of the problems of the formalized representation of socio-philosophical concepts using the graphic language of axes and matrices, but simply points out possible ways of heuristic mediation of complex theoretical constructs by elements of graphic modelling. The article concludes by underlying the importance of using graphic techniques while working with information, concepts and theories for heuristic interpretation and epistemological restructuring of socio-philosophical problems.
Monitoring the Health of the Alzheimers Patients and Geofencing their Location

Abstract: The aim of this project is to help the care takers of the Alzheimer patients who losses their memory and have minimal sense to take care of themselves. So it is sensitive to handle them without anyone’s external guidance and presence, which is not always possible in this busy world and patients may not feel comfortable under the watch out of external guidance always. So there is need for a device which will make the job of the care taker much easier by replacing that external guidance with an electronic device. This project is aiming to give the guardian, the patient’s location (using Geofencing System) along with their health parameters. This will fix the boundary for the patients movement and when if they move out their boundary location, an alert message will be given to the concerned guardian. The health parameters of the patients are also lively updated in the App. Bluetooth Low Energy (BLE) location fingerprinting technique is used for Geofencing system. As our project mainly aims for the Indian busy streets, this geofencing system mainly deals with the indoor localization.
Us/Them and Self/Identity Binary Oppositions in the Context of Representation of Body Positive Ideas on Spanish-Language Instagram

This article studies the means of representation of burning social issues on social media. It focuses on the means of actualizing the Us/Them and Self/identity binary oppositions in Spanish-language Instagram blogging of body positive activists, which are investigated using the discursive, lexico-semantic, and multimodal analyses. Social polarization, manifested in the division of society into supporters and opponents of this ideology, is achieved through the actualization of the Us/Them binary opposition and is enhanced by the verbalization of the Self/identity opposition, which, in turn, manifests itself in including the recipient in the group of Us based on the principle of identity (sameness) and in opposing the recipient to Them through the expression of the Self (individuality) of body positive persons. At the text level, these binary oppositions are represented by the following linguistic means: possessive pronouns, pronouns as direct and indirect objects, verb forms, negative names for Them, as well as vocabulary with the semes “exclude/discriminate” and “imposing an opinion”. In addition, non-verbal visual elements of a creolized polylingual textual post semantically related to the oppositions were identified; these elements reinforce the key strategy – polarization – verbalized through showing Them in a bad light and Us in a good light. Communicating body positive ideas, Spanish-language Instagram bloggers frequently use words describing the human body (somatic naming units) and the attitude of Us and Them to the body. Verbalization of corporeality and perception of the body is of fundamental
Analyzing Reading Errors among Dyslexic Students According to the Dual-Route Model

This study aimed at analyzing reading errors in the Arabic language among the dyslexic students based on the dual-route model for reading as well as determining the subtypes of dyslexia according to the reading errors manifested by the dyslexic students.The study sample consisted of eighty students divided equally between dyslexic and non-dyslexic students from the same age category.The dyslexic group were distributed into six students with surface dyslexia, four with phonological dyslexia, five with deep dyslexia and twenty five dyslexic students weren't identified in any of the above-mentioned types, accounting for (62.5%) of the total dyslexic sample.A battery of three domains was developed (reading errors, orthographic and phonological abilities and semantic abilities) with ten subdomains comprising of 200 items.A simple regression method and MANOVA were used for analysis.Results showed that students with surface dyslexia demonstrated visual errors in recognizing words, whereas the students with phonological dyslexia demonstrated phonological errors.However, the students with deep dyslexia mainly displayed semantic and phonological errors.Further implications were discussed.
KEPRAKTISAN MODUL BERBASIS ANDROID TERHADAP KEMAMPUAN BERPIKIR KRITIS SISWA SMA

This development research aims to describe an Android-based module on the critical thinking skills of high school/vocational high school students. The stages of development include self-evaluation, expert test, individual test, small group test, and field test. The research subjects were 5 students for the re-sponse test and 3 observers for the implementation test of the Android-based module on the critical thinking skills of high school/vocational high school students. The type of data is descriptive data, us-ing a module implementation instrument and student responses are used for the practicality of the con-tent and the practicality of expectations. Technical data analysis was carried out in accordance with the objectives of the research which included the practicality of the module. The data calculation is done by calculating the total score for each aspect tested and then dividing the total score so that a percentage is obtained that shows the practicality of the Android-based module. The results showed that the Android-based module that had been developed was stated to be very practical based on the individual module test with an average of 90,23%. Android-based modules are declared practical be-cause the results of student responses with an average value of 92,65% with very good criteria, the re-sults of implementing the module with an average of 92,20% with criteria strongly agree. Based on this, the Android-based module developed is very practical to use and makes it easier for students to learn.Keywords: Practicality, android-based module, critical thinking ability.ABSTRAKPenelitian pengembangan ini bertujuan mendeskripsikan modul berbasis android terhadap kemampuan berpikir kritis siswa SMA Tahap-tahap pengembangan meliputi evaluasi diri, uji pakar, uji perorangan, uji kelompok kecil, dan uji lapangan. Subjek penelitian adalah 5 siswa untuk uji respon dan 3 observer untuk uji keterlaksanaan modul berbasis android terhadap kemampuan berpikir kritis siswa SMA. Jenis data yaitu data deskriptif, menggunakan instrument keterlaksanaan modul dan respon siswa digunakan untuk kepraktisan isi dan kepraktisan harapan. Teknis analisis data dilakukan sesuai dengan tujuan dari penelitian yang meliputi kepraktisan modul. Perhitungan data dilakukan dengan cara menghitung jumlah skor tiap aspek yang diuji kemudian dibagi jumlah skor total sehingga didapatkanlah persentase yang menunjukan kepraktisan modul berbasis android. Hasil penelitian menunjukan modul berbasis android yang telah dikembangkan dinyatakan sangat praktis berdasarkan uji perorangan modul dengan rata-rata 90,23%. Modul berbasis android dinyatakan praktis karena hasil respon siswa dengan rata-rata nilai 92,65% dengan kriteria sangat baik, hasil keterlaksanaan modul dengan rata-rata 92,20% dengan kriteria sangat setuju. Berdasarkan hal tersebut modul berbasis android yang dikembangkan sangat praktis digunakan dan memudahkan siswa dalam pembelajaran.Kata kunci: Kepraktisan, modul berbasis android, kemampuan berpikir kritis.
Estimation of the Influence of a Noisy Environment on the Binary Decision Strategy in a Quantum Illumination Radar

A quantum illumination radar uses quantum entanglement to enhance photodetection sensitivity. The entanglement is quickly destroyed by the decoherence in an environment, although the sensitivity enhancement could survive thanks to quantum correlations beyond the entanglement. These quantum correlations are quantified by the quantum discord. Here, we use a toy model with an amplitude damping channel and Lloyd's binary decision strategy to highlight the possible role of these correlations from the perspective of a quantum radar.
Exploring Polytechnic Learners’ Perception on Multimodality in MALL in Business Administration Instruction

This paper aimed to analyze Polytechnic learners’ perception of multimodality in Mobile-Assisted Language Learning (MALL) in an English instructional context. This research was a survey with a quantitative approach. Purposive sampling was employed and considered only for students who learned English language lessons at eight classes in the Business Administration Department, Politeknik Negeri Bali. Questionnaires focused on the Performance Expectancy (PE), Effort Expectancy (EE), and Behavior Intention (BI) of UTAUT theory. The result of the study indicated that internet technology was prevalent to be used by the students and there was a keen exploration of the English materials in a multimodal perspective that is a combination of technology-based learning materials with various modes, involving audiovisual, pictures, realia, in different formats. The usefulness of the device and the ease of technology used contribute to the use of mobile-assisted language learning (MALL) in learning the English language. The result also revealed the entrepreneur candidates tended to choose MALL with multimodal immersion as a fruitful combination to escalate their English language skills. Policies, subject matter expertise, appropriate pedagogies, and relevant use of technology support are suggested to explore the usefulness of MALL for students in Polytechnic education.
Exploring the Roles of Extensive Reading on Malaysian Tertiary ESL Students’ Motivation to Read in English

English language reading skills and reading motivation are important in tertiary education.In the case of Malaysian tertiary education, most courses are conducted in English language and most references are in English.However, Malaysian tertiary students' reading proficiency in English has often been labelled as below par, which is attributed to poor reading skills and habits, as well as a lack of motivation to read.One of the ways that can increase their reading habits and motivation is extensive reading.This qualitative study explores Malaysian tertiary ESL students' perceptions of extensive reading, the roles that extensive reading play in developing (or hindering) their reading motivation, as well as the factors that contribute to (or hinder) their motivation for reading.Employing a case study approach, three tertiary ESL students from three private institutes of higher learning in Klang Valley were selected via purposive sampling.Semi-structured individual interviews were conducted, and the participants' reading journal entries were collected, and analysed using thematic analysis.The findings indicated that extensive reading was perceived to have great value, and it played important roles that developed participants' motivation to read.However, sociocultural factors contribute to increasing or decreasing students' motivation to read.It was found that students' motivation to read can be developed and sustained when they believe in the value of extensive reading, have high expectancy for success at reading, and enjoy reading for its own sake as evidenced by their reports of experiencing flow while reading.The study also provide a better understanding of what drives students to read or hinders them from reading, which could allow valuable insight into motivating alliterates to read.