Reviewerly/exHarmony huggingface dataset:
Reading Proficiency of Grade Two Learners Using Big Books with Historical Content

This experimental research entitled “Reading Proficiency of Grade Two Learners Using Big Books with Historical Content” is a scientific study on the reading proficiency of grade two learners in Banago Elementary School I when using Big Books with Historical Content during the teaching-learning process especially in reading. It mainly utilized mother tongue language, Hiligaynon, as medium of instruction. Forty (40) grade two learners who were equally distributed into two groups, the control group and experimental group with twenty (20) learners, made up the subject-respondents of the study. Data were collected through experimental procedure where the experimental group was exposed to the use of big books with historical content while the control group used the regular big books. Mean, Frequency and Percentage, T-test and Spearman rho were used as statistical tools. Based on the scientific results of this study, a proposed reading enhancement program was crafted to further enhance reading performance of learners benefiting the implementers, teachers, and learners of the program. Findings of the study recommends on the use of big books with historical content to improve reading proficiency levels of primary learners when using Hiligaynon as medium of instruction in assessments and reading remediation. Results further suggested the development of additional localized and indigenized big books with historical content as well as big books across disciplines as supplementary learning materials in the delivery of instruction in Elementary Social Studies and reading remediation in Hiligaynon for Key Stage 1. Implementation of the proposed program in school and division level will be beneficial to the stakeholders, administrators, teachers, and learners in the primary level.
Masked Generative Light Field Prompting for Pixel-Level Structure Segmentations

Pixel-level structure segmentations have attracted considerable attention, playing a crucial role in autonomous driving within the metaverse and enhancing comprehension in light field-based machine vision. However, current light field modeling methods fail to integrate appearance and geometric structural information into a coherent semantic space, thereby limiting the capability of light field transmission for visual knowledge. In this paper, we propose a general light field modeling method for pixel-level structure segmentation, comprising a generative light field prompting encoder (LF-GPE) and a prompt-based masked light field pretraining (LF-PMP) network. Our LF-GPE, serving as a light field backbone, can extract both appearance and geometric structural cues simultaneously. It aligns these features into a unified visual space, facilitating semantic interaction. Meanwhile, our LF-PMP, during the pretraining phase, integrates a mixed light field and a multi-view light field reconstruction. It prioritizes considering the geometric structural properties of the light field, enabling the light field backbone to accumulate a wealth of prior knowledge. We evaluate our pretrained LF-GPE on two downstream tasks: light field salient object detection and semantic segmentation. Experimental results demonstrate that LF-GPE can effectively learn high-quality light field features and achieve highly competitive performance in pixel-level segmentation tasks.
An Overview of Building a Global Data Area on the Web for Farming

A collection of best practices for publishing as well as connecting structured data on the Web is referred to as “Linked Data.” In the past ten years, the practice of Linked Open Data has significantly increased the structured data available on the Web. This structured data provides machine-readable descriptions of real-world items, opening hitherto unheard-of opportunities for research around natural language processing. With the aid of technology, the agriculture sector advanced significantly, becoming more data-driven and intelligent. Studies on how these data can be used, for what kinds of tasks, and to what degree they can be helpful for agricultural tasks, however, are lacking. Our paper puts an effort into providing an overview of concepts and technologies in the Semantic Web and their applicability to farming.
Understanding Menstruation Material in Fiqh Learning for VII Grade Female Students at SMP Syubbanul Wathon 2 Bandongan Magelang

This research was conducted to determine the factors that influence female students' understanding of menstruation material, how they learn menstrual material, and the extent to which class VII female students understand menstruation material at SMP Syubbanul Wathon 2 Bandongan. This research was conducted at Syubbanul Wathon 2 Bandongan Middle School with a focus on female students' understanding of menstruation material. This research was conducted using qualitative research methods with a descriptive approach and various data analysis, collection and validity techniques to support optimal results. In this research, learning about menstruation material for class VII female students uses several learning stages: learning planning, menstrual learning material, learning methods, learning media, learning evaluation and assessment. The level of understanding of class VII students' material on menstruation at Syubbanul Wathon 2 Middle School is quite good. This can be seen from their interviews and written test results, although some students don't understand it and some of the material is difficult for them.&#x0D; Keywords: Understanding Menstruation Material, Fiqh, Syubbanul Wathon
Comparative study of variant shifting-phase coding method based on noise error model

Abstract Phase shifting algorithm, which is well-known for its high-accuracy and high-resolution, plays a crucial role in fringe projection profilometry. A class of variant shifting-phase coding method (VSPCM) has been proposed for high-speed 3D measurement. The three kinds of VSPCM include the inner shifting-phase method (ISPM), the intensity-coded method (ICM) and the modified Carré algorithm (MCA). These methods project only four patterns avoiding the need for extra images, yet achieve accuracy comparable to the classical three-frequency heterodyne method. In VSPCM, the shifting-phase, as a key code-word for phase unwrapping, is encoded as a variable value. In practice, the noise and the encoding of shifting-phase have varying degrees of impact on the performance of these methods. But the coded ranges of the shifting-phase were previouly empirical values. Besides, there are no studies related to these factors, and also a lack of comparative researches on such methods. This paper compares three kinds of VSPCM for the first time. We derive the noise error models for shifting-phase and wrapped phase in three methods and examine the impact of variant shifting-phase on fringe orders and wrapped phase in these methods. We find that the abnormal shifting-phase errors predominantly cause fringe orders errors. Fortunately, median filtering can effectively handle shifting-phase errors to ensure successful phase unwrapping. To improve their accuracy, we also deduce that the optimal shifting-phase encoding range is [−77°, 77°] for ISPM, and is [−61°, 61°] for ICM, and is [34°, 74°] for MCA. For wrapped phase errors, the distributions of ICM and MCA exhibit a U-shaped distribution, while ISPM demonstrates a uniform distribution. Based on theoretical analysis and experiment results, this paper gives recommendations for better use of these methods to boost their accuracy and offers valuable guidance for selecting an appropriate VSPCM under the specific measurement requirements.
Evaluation Method of Higher Education Teaching Reform Based on Deep Learning Analysis Technology

Considering the shortcomings of large evaluation errors, long time, human, and material resources in the evaluation process of the current college teaching mode to improve the accuracy of the evaluation of college teaching mode and reduce the cost of the evaluation, this study proposes an evaluation method for college teaching methods based on deep learning algorithms. Firstly, the research status of the evaluation of college teaching mode is analyzed, and the reasons for the poor evaluation results of the current college teaching mode are found; then the existing deep learning algorithm is improved, and the effectiveness and speed of the method are verified by comparing with other models. Then, the evaluation model of college teaching mode is established, and machine learning is performed on the evaluation data of college teaching mode; finally, the evaluation data of college teaching mode is collected, and the application example test of college teaching mode evaluation is performed.
Chapter 10: Audiovisual sample 10.1 - 10.3

&lt;p&gt; Audiovisual sample 10.1: In this video, by the Folkpick channel, Lakhan Das Baul performs at the Saturday market near the cultural tourism center of Santiniketan.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 10.2: In this clip posted by Purohitmoshay Shibshankar on YouTube, Sumanta Das Baul performs at Jaydev Mela, a large religious festival attended by pilgrims, music lovers, and entrepreneurs.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 10.3: In this clip posted by Soumik Dee on YouTube, the esteemed song specialist Ranojit Gosain sings at a sādhusaṅga at his home in Nadia district.&lt;/p&gt;
Chapter 15: Audiovisual sample 15.1 - 15.6

&lt;p&gt; &lt;/p&gt; &lt;p&gt;Audio sample 15.1:&lt;/p&gt; &lt;p&gt;Amidst loud drumming a kemantat at Libo Jaya, in 1996, shakes his rattler as he calls on the ethereal Ajo Mudo Bumain Sedan/Young Raja-driving-a-Sedan, to give medicine.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audio sample 15.2: &lt;/p&gt; &lt;p&gt;The late kemantat Bah Sehari opening his dikei by calling on the ethereal de’o Anak Ajo/Child of the Raja to aid in healing. Pinggir, Riau, 1996.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audio sample 15.3:&lt;/p&gt; &lt;p&gt;The voice of Mak Chiri, is heard piercing through ordering &lt;em&gt;kemantat&lt;/em&gt; Bah Sehari to bring the &lt;em&gt;semanget&lt;/em&gt; back to the patient, Pinggir 1997. &lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audio sample 15.4:&lt;br&gt; A gong accompanying the drumming is being hit on the first night of a kelonkap event in Pinggir, 1997. &lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;Audio sample 15.5:&lt;br&gt; The jubilatory sounds of a &lt;em&gt;kelonkap Penaso&lt;/em&gt;, 1997.&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;Audio Sample 15.6:&lt;/p&gt; &lt;p&gt;Male kemantat, Bah Teba, performing the flirtatious female ethereal Nuk Ducy, swaying his hips from side to side in exaggeration and being teased by the women in the audience who suggest to him how he should walk and sometimes try to pinch his bottom to which he responds in exaggerated shock.&lt;/p&gt;
Chapter 12: Audiovisual sample 12.1 - 12.2

&lt;p&gt;Audiovisual sample 12.1: &lt;/p&gt; &lt;p&gt;&lt;em&gt;Bertarung Untuk Dewa&lt;/em&gt; (Fight for God), a short documentary (6:28) on ritual life in Tenganan. Directed by Citra Aryandari. 2009. &lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;Audio sample 12.2: &lt;/p&gt; &lt;p&gt;&lt;em&gt;Prasi&lt;/em&gt; recitation of Ida Bagus Buda, 2019.&lt;/p&gt;
Chapter 4: Audiovisual sample 4.1 - 4.4

&lt;p&gt; &lt;/p&gt; &lt;p&gt;Audio sample 4.1: Zakira Hashmat Fatima. Haji Lane Imambara, 2013.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audio sample 4.2: &lt;em&gt;Zakira &lt;/em&gt;Rana Meerza. &lt;/p&gt; &lt;p&gt;Mehfil e-Haidari, 2019. &lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audio sample 4.3: &lt;em&gt;Zakira &lt;/em&gt;Nuzhat Zahra, in 2014. 11 Pemantle Street.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audio sample 4.4: Nuzhat Zahra, in 2019. 11 Pemantle Street.&lt;/p&gt;
Chapter 1: Audiovisual sample 1.1 - 1.7

&lt;p&gt; &lt;/p&gt; &lt;p&gt;Audiovisual sample 1.1:&lt;/p&gt; &lt;p&gt;From the website of City Harvest Church (URL &lt;a href="https://the.chc.app/word/63ZVTFJTjBb6kLRYZSSeek" target="_blank"&gt;https://the.chc.app/word/63ZVTFJTjBb6kLRYZSSeek&lt;/a&gt;). A bilingual sermon delivered on October 13, 2019, Kong Hee, “Seek God’s Glory, Our Delight / 上帝的荣耀、我们的喜乐,” City Harvest Church, 1:04:40, October 13, 2019.&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;Audiovisual sample 1.2: &lt;/p&gt; &lt;p&gt;From the website of City Harvest Church (URL &lt;a href="https://the.chc.app/word/aOI5RcswqceQGxVzqwhMr" target="_blank"&gt;https://the.chc.app/word/aOI5RcswqceQGxVzqwhMr&lt;/a&gt;). View the first example of speaking in tongues during the prayer segment at the end of the sermon, at 1:09:35. Kong Hee, “Secrets to Powerful Prayer (Part 1),” City Harvest Church, August 23, 2019.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 1.3:&lt;/p&gt; &lt;p&gt;From the website of City Harvest Church (&lt;a href="https://the.chc.app/word/oh8o9yLnTqwUj1PwFGf7J" target="_blank"&gt;https://the.chc.app/word/oh8o9yLnTqwUj1PwFGf7J&lt;/a&gt;) . View the second example of speaking in tongues at 0:55:12. Zhao Ren, “Fruits of the Holy Spirit: Peace,” City Harvest Church, November 10, 2019.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 1.4:&lt;/p&gt; &lt;p&gt;View the video clip of Lim possessed by Guan Di Ye. Facebook video, posted by Lim Tiong Kang, October 8, 2019.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 1.5:&lt;/p&gt; &lt;p&gt;View the video clip that archives the act of interpretation of the Emperor God’s utterances at 0:09:00. Facebook video, posted by “YewKew Jump Jump Jump,” September 25, 2019.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 1.6: &lt;br&gt; View an example of a training video that demonstrates how to speak in tongues. “How to Speak in Tongues,” YouTube video, posted by EncounterTV, May 24, 2016.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 1.7: &lt;/p&gt; &lt;p&gt;On praying in tongues, one finds sermons delivered by megachurch pastors such as Joseph Prince, founder of New Creation Church, which is another independent megachurch in Singapore. “Why Do We Pray In Tongues? | Joseph Prince,” YouTube video, posted by Joseph Prince, June 11, 2020.&lt;/p&gt;
Multi-thread two-dimensional digital image correlation for full-field displacement and rotation angle measurement

The conventional two-dimensional (2D) digital image correlation (DIC) method often fails to work when there is a large rotation between the reference and deformed images. The objective of this study is to propose a 2D DIC method to tackle this issue and calculate the full-field rotation angle. In our method, the deformed subset is chosen along the direction of gradient orientation angle error (GOAE) between the pseudo point of interest and the searching point. In addition, the initial deformation parameters for the inverse compositional Gaussian–Newton (IC-GN) method are set based on the GOAE to guarantee its convergence. Furthermore, a best fit method is presented to calculate the rotation angle of each target deformed subset using the converged deformation parameters from IC-GN method. Moreover, due to the high computation intensity of the proposed method, a multi-thread parallel computation technique is used to speed up its computation. Simulation and bending experiment results show that the proposed method can measure both the full-field in-plane displacement and rotation angle with relatively high accuracy and efficiency in the case of a large rotation, in comparison with the conventional DIC method and a ring template-based method. The proposed method is also robust to the strained deformation and image noise to some degree.
Cluster segmentation algorithm for enhancing edge information

To solve the blurred image edge segmentation problem and the influence of a complex background on the segmentation accuracy of the clustering algorithm, this paper proposes an edge gravity mean shift (EGMS) image segmentation algorithm. Aiming at the problem of partial edge information loss when the Canny algorithm processes images, the L0 gradient minimization method is introduced to iteratively optimize the gradient map to extract more edge information, and then the L0 Canny edge detection algorithm is proposed. Aiming at the problem that the Epanechnikov mean shift algorithm will converge to the local optimum due to the non-smooth Epanechnikov kernel function, the optimal bandwidth is obtained, and the smoothness of the kernel function shape is improved by cross-validation and spline function. Then, the sleek Epanechnikov kernel function is constructed by integrating the weight function, which can reflect the richness of clustering information at the peak so that the kernel function can more accurately reflect the data characteristics of the peak. Based on the sleek Epanechnikov kernel function, the sleek Epanechnikov mean shift (SEMS) clustering algorithm is proposed. The EGMS image segmentation algorithm is constructed by fusing the L0 Canny and SEMS. The experimental results indicate that EGMS can retain more edge contour information when segmenting images, and it can generate better clustering clusters for clustered datasets. In addition, compared to other clustering segmentation algorithms, the proposed EGMS algorithm demonstrates superior clustering accuracy and convergence on the majority of image datasets. Our code is available at: https://gitee.com/zhiweilu111/edge-gravity-mean-shift.
Disease mongering, overdiagnosis, and media practices: a critical discourse analysis of sluggish cognitive tempo (SCT) and the motivational deficiency disorder (MoDeD) spoof

Abstract This paper explores ways in which the strategic use of discursive and generic conventions has the potential to create a non-existent pathology and mislead the public. This case study compares and examines datasets of different genres (newspaper issue reports, online videos, and Wikipedia pages) dealing with a condition considered as an actual illness (Sluggish Cognitive Tempo, SCT), and another (Motivational Deficiency Disorder, MoDeD), invented as a spoof to raise awareness about disease mongering, overdiagnosis, and medicalization. We evince common language strategies that, irrespective of the genre, can be employed in media discourse, both in the name of genuine medical information and in pursuit of more ethically questionable ends. The methodological tools provided by Critical Discourse Analysis are applied to both the authentic and the hoax texts in order to investigate the media representations of SCT and MoDeD, juxtaposing the ways in which both are framed conceptually, defined linguistically, and popularized to lay audiences. The findings indicate the existence of a common repertoire of lexical-phraseological, rhetorical and discursive patterns that typify the popularization of medicalized statuses and combine to increase the persuasiveness and authority of overdiagnosis, ultimately advancing the case for medicalization with the public at large.
Postgraduate Institute of India (<scp>PGI</scp>) textbook of laboratory and clinical hematology. By Koyamangalath Krishnan (Ed.), Mumbai, India: Bhalani Publishing House. 2024. pp. 3244. ISBN: 9789381496763

American Journal of HematologyVolume 99, Issue 4 p. 800-800 BOOK REVIEW Postgraduate Institute of India (PGI) textbook of laboratory and clinical hematology. By Koyamangalath Krishnan (Ed.), Mumbai, India: Bhalani Publishing House. 2024. pp. 3244. ISBN: 9789381496763 Rajiv K. Pruthi, Corresponding Author Rajiv K. Pruthi [email protected] orcid.org/0000-0002-6969-929X Division of Hematology, Department of Internal Medicine, Mayo Clinic College of Medicine, Mayo Comprehensive Hemophilia Center, Special Coagulation and Molecular Hematopathology Laboratories, Mayo Clinic, Rochester, Minnesota, USA Rajiv K. Pruthi, Division of Hematology, Department of Internal Medicine, Mayo Clinic College of Medicine, Mayo Comprehensive Hemophilia Center, Special Coagulation and Molecular Hematopathology Laboratories, Mayo Clinic, Rochester, MN 55905, USA. Email: [email protected]Search for more papers by this author Rajiv K. Pruthi, Corresponding Author Rajiv K. Pruthi [email protected] orcid.org/0000-0002-6969-929X Division of Hematology, Department of Internal Medicine, Mayo Clinic College of Medicine, Mayo Comprehensive Hemophilia Center, Special Coagulation and Molecular Hematopathology Laboratories, Mayo Clinic, Rochester, Minnesota, USA Rajiv K. Pruthi, Division of Hematology, Department of Internal Medicine, Mayo Clinic College of Medicine, Mayo Comprehensive Hemophilia Center, Special Coagulation and Molecular Hematopathology Laboratories, Mayo Clinic, Rochester, MN 55905, USA. Email: [email protected]Search for more papers by this author First published: 13 February 2024 https://doi.org/10.1002/ajh.27235Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. CONFLICT OF INTEREST STATEMENT Author declares no conflict of interest. Volume99, Issue4April 2024Pages 800-800 RelatedInformation
Chapter 2: Audiovisual sample 2.1 - 2.2

&lt;p&gt; &lt;/p&gt; &lt;p&gt;Audiovisual samples 2.1 &amp; 2.2:&lt;/p&gt; &lt;p&gt;I warmly invite the readers to start this section by watching and listening to these audiovisual samples, recorded during my fieldwork at the Poderaccio camp and at the Coltano camp.&lt;/p&gt; &lt;p&gt;First file: Zikr for Sultan Nevruz, Poderaccio camp, March 2019.&lt;/p&gt; &lt;p&gt;Second file: Coltano camp, June 2019.&lt;/p&gt;
Chapter 6: Audiovisual sample 6.1 - 6.2

&lt;p&gt;Audiovisual Sample 6.1: Excerpt from Sur Mazūrī, performed at the shrine of Shah Abdul Latif Bhittai in Bhit Shah, Sindh, Pakistan. Recorded by the author on January 2, 2015.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual Sample 6.2: Tand and jhaṛ in Sur Husainī. Recorded by the author on January 12, 2015.&lt;/p&gt;
Chapter 5: Audiovisual sample 5.1 - 5.7

&lt;p&gt; &lt;/p&gt; &lt;p&gt;Audiovisual sample 5.1: A short extract from Oramics by Daphne Oram, 2007.&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;Audiovisual sample 5.2: “Tuning Meditation” by Pauline Oliveros (in 3D binaural audio).&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audio sample 5.3: Eliane Radigue’s Songs of Milarepa, with the voice of the Tibetan Lama Kunga Rinpoche.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt;Audiovisual sample 5.4: “On Behalf of Nature,” by Meredith Monk.&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;Audiovisual sample 5.5: “Scrytch,” by Lyra Pramukh.&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;Audiovisual sample 5.6: “Eternal,” by Holly Herndon. &lt;br&gt; &lt;/p&gt; &lt;p&gt;Audiovisual sample 5.7: Aïsha Devi, &lt;em&gt;Of Matter and Spirit&lt;/em&gt;. Album trailer.&lt;br&gt; &lt;/p&gt;
Methodologies of Construction of Circular Models

This paper is focused on various methodologies of construction of circular models contributed by researchers in directional data analysis for modeling angular/periodic data. Several methods of construction are discussed in detailed here. These methods can be adopted for modeling angular/circular/periodic data which may be occurred in many practical situations in various fields.