Reviewerly/exHarmony huggingface dataset:
Data from Integrated Profiling of Basal and Luminal Breast Cancers

&lt;div&gt;Abstract&lt;p&gt;Basal and luminal are two molecular subtypes of breast cancer with opposite histoclinical features. We report a combined, high-resolution analysis of genome copy number and gene expression in primary basal and luminal breast cancers. First, we identified and compared genomic alterations in 45 basal and 48 luminal tumors by using 244K oligonucleotide array comparative genomic hybridization (aCGH). We found various genome gains and losses and rare high-level gene amplifications that may provide therapeutic targets. We show that gain of 10p is a new alteration in basal breast cancer and that a subregion of the 8p12 amplification is specific of luminal tumors. Rare high-level amplifications contained &lt;i&gt;BCL2L2, CCNE, EGFR, FGFR2, IGF1R, NOTCH2&lt;/i&gt;, and &lt;i&gt;PIK3CA&lt;/i&gt;. Potential gene breaks involved &lt;i&gt;ETV6&lt;/i&gt; and &lt;i&gt;FLT3&lt;/i&gt;. Second, we analyzed both aCGH and gene expression profiles for 42 basal and 32 luminal breast cancers. The results support the existence of specific oncogenic pathways in basal and luminal breast cancers, involving several potential oncogenes and tumor suppressor genes (TSG). In basal tumors, 73 candidate oncogenes were identified in chromosome regions 1q21-23, 10p14, and 12p13 and 28 candidate TSG in regions 4q32-34 and 5q11-23. In luminal breast cancers, 33 potential oncogenes were identified in 1q21-23, 8p12-q21, 11q13, and 16p12-13 and 61 candidate TSG in 16q12-13, 16q22-24, and 17p13. &lt;i&gt;HORMAD1&lt;/i&gt; (&lt;i&gt;P&lt;/i&gt; = 6.5 × 10&lt;sup&gt;−5&lt;/sup&gt;) and &lt;i&gt;ZNF703&lt;/i&gt; (&lt;i&gt;P&lt;/i&gt; = 7 × 10&lt;sup&gt;−4&lt;/sup&gt;) were the most significant basal and luminal potential oncogenes, respectively. Finally, among 10p candidate oncogenes associated with basal subtype, we validated CDC123/C10orf7 protein as a basal marker. [Cancer Res 2007;67(24):11565–75]&lt;/p&gt;&lt;/div&gt;
Data from AACR Project GENIE: Powering Precision Medicine through an International Consortium

&lt;div&gt;Abstract&lt;p&gt;The AACR Project GENIE is an international data-sharing consortium focused on generating an evidence base for precision cancer medicine by integrating clinical-grade cancer genomic data with clinical outcome data for tens of thousands of cancer patients treated at multiple institutions worldwide. In conjunction with the first public data release from approximately 19,000 samples, we describe the goals, structure, and data standards of the consortium and report conclusions from high-level analysis of the initial phase of genomic data. We also provide examples of the clinical utility of GENIE data, such as an estimate of clinical actionability across multiple cancer types (&gt;30%) and prediction of accrual rates to the NCI-MATCH trial that accurately reflect recently reported actual match rates. The GENIE database is expected to grow to &gt;100,000 samples within 5 years and should serve as a powerful tool for precision cancer medicine.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Significance:&lt;/b&gt; The AACR Project GENIE aims to catalyze sharing of integrated genomic and clinical datasets across multiple institutions worldwide, and thereby enable precision cancer medicine research, including the identification of novel therapeutic targets, design of biomarker-driven clinical trials, and identification of genomic determinants of response to therapy. &lt;i&gt;Cancer Discov; 7(8); 818–31. ©2017 AACR.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;i&gt;See related commentary by Litchfield et al., p. 796&lt;/i&gt;.&lt;/p&gt;&lt;p&gt;&lt;i&gt;This article is highlighted in the In This Issue feature, p. 783&lt;/i&gt;&lt;/p&gt;&lt;/div&gt;
Algorithm of Palindrome Detection Tool

Detecting palindromes in DNA sequences is a fundamental problem in computational biology with implications for understanding genomic instability. DNA sequences containing long adjacent inverted repeats (palindromes) are associated with chromosomal rearrangements. In this article, we present the concept of using the LPrF (Longest Previous reverse Factor) table to develop an algorithm for efficiently detecting palindromes in strings, particularly in long DNA and RNA sequences. To improve processing time and reduce computational overhead, we utilize the suffix heap data structure for data preparation before applying the algorithm. These two components are integrated into a user-friendly way of detecting palindromes in DNA sequences, a web-based tool that streamlines the process, saving time and computational resources.
TEACHERS' STRATEGIES IN TEACHING ENGLISH DURING THE PANDEMIC AT ONE OF THE ISLAMIC SECONDARY SCHOOLS IN JAMBI

In this research, researchers explore the teachers' strategies in teaching English during the COVID-19 pandemic at one of the Islamic secondary schools in a suburban area in Jambi. In conducting the research, researchers employed a qualitative research design with a case study method. The interview was conducted to investigate teachers' strategies during the irregular educational environment as the effect of the global pandemic. Based on the research findings, teachers often used strategies in English learning classes during the COVID-19 pandemic and utilized video as the learning media. Teachers use these strategies because it is more exciting and easier for students to understand the learning material. Teachers sometimes use several other strategies that are less efficient for online learning.
Alat Penerjemah Bahasa Isyarat Huruf Hijaiyah Menggunakan Sensor Fleksibel dan Mpu 6050 Berbasis Arduino

In this era of development, communication is important to convey information to avoid misunderstandings. In several community groups, there are people with disabilities, especially speech impairments. People with speech impairments can only communicate using sign language in their daily lives. People with speech impairments learn the Hijaiyah letters as the basis for forming words and sentences in Arabic, guided by Arabic Sign Language. They use sign language to understand what each other says, whereas it would be difficult for normal people to understand. The method that the author used to create a Hijaiyah sign language translation tool was the experimental method and literature review. This translation tool is based on Arduino Nano with display results using a smartphone consisting of an Arduino Nano circuit equipped with a flexible sensor, MPU 6050 sensor, battery and application on the smartphone. For communication needs, a Bluetooth HC 05 series is used. The results of the Hijaiyah letter translator tool will be displayed on the smartphone application. From the experimental results of this research, an accuracy result of 91% was obtained
Pembuatan Komposit dari Serat Sabut Kelapa dan Resin Polyester sebagai Material untuk Helm

A composite is a material made from a combination of two or more materials. The purpose of this study was to determine the feasibility of a reinforced configuration of coco fiber. The method of making this composite used the hand lay-up method or an open mold process. The test results of the coir fiber composite had an actual density value of 60% fiber and 40% resin composition of 1.19 g/cm3 and the lowest porosity value of 0.58% in the random arrangement fiber impact test specimen. The best value of impact toughness was found in the composition of 50% fiber and 50% resin of 271,311.29 J/m2 in straight fiber specimens with ductile mechanical properties. This value was much higher than the impact toughness of SNI 18111-2007 helmet material of 9,720 J/m2. Based on these results, the composite material, polyester resin reinforced with coconut fiber, is suitable as an alternative material in the manufacture of SNI helmets when viewed from the value of impact toughness and tensile strength.
Legal Construction of Crypto Assets as Objects of Fiduciary Collateral

Crypto assets have become the commodities traded on the Futures Exchange. Based on the data from the Ministry of Trade, the number of crypto asset investors in Indonesia will reach 11 million people by the end of 2021. The high level of crypto investment and public interest in crypto as a digital asset provide excellent opportunities for Indonesia's digital industry and economic growth. This research will discuss the use of crypto assets as objects of fiduciary collaterals and the legal framework used as a legal basis for crypto assets subject to fiduciary collaterals. The research methodology is normative juridical applied using a comparative approach to the laws in Indonesia and Vietnam because the rules regarding crypto assets in Vietnam are clearer. The data collected were secondary data, and the they were analysed using qualitative data analysis. The results of the study show that crypto assets are intangible movable objects that have economic value and can be transferred due to an agreement through each user's account so that conceptually crypto assets can be used as fiduciary collateral objects. However, considering that crypto assets are digital currencies cannot be predicted, legal protection for creditors holding crypto asset collaterals is still weak. In addition to the absence of regulations that specifically regulate crypto assets that can be used as objects of fiduciary collateral, there are also difficulties in execution, so there is a need for a construction legal umbrella that regulates crypto assets to be used as fiduciary collateral objects.
Penerapan Trainer Seri Paralel Bagi Siswa SD Pojok Kota Kediri

Abstract—Paralel series circuit thematic material is one of the materials that is difficult for elementary school (SD) students to understand because it requires direct understanding and application of paralel series material. At SD Negeri Pojok Kota Kediri the paralel series material is taught in class VI, the lack of learning media for this material causes students to have difficulty understanding the material. The aim of this Community Service (PkM) activity is to design and implement a paralel series trainer for elementary school students so that it is hoped that students will find it easy to understand and apply the series. This service activity produced 4 trainers, namely a series circuit trainer, a paralel circuit trainer, a combination switch circuit trainer, and a paralel series resistance interactive trainer. The results of applying the trainer show that 90% of students are able to apply circuits to series and paralel material using the series paralel circuit trainer.&#x0D;
Constitutional Issues, current Status, and tasks of social security for foreigners in a multicultural society

Korean society is rapidly transforming into a multicultural society due to the influx of foreigners and settlement, a surge in foreign workers, and an increase in the marriage rate with foreigners. It is necessary to review the social security of foreigners in their status as members of Korean society at the constitutional level. In Korean society, which is rapidly transforming into a multicultural society, it is necessary to reflect the ideology of respecting human dignity and realizing social and state principles in which practical freedom and equality are realized, which are the ultimate values of the Constitution. In this sense, it is necessary to recognize the subjectivity of basic rights of foreigners and to solve practical restrictions by the limitations and limitations of basic rights.&#x0D; The classification of basic rights subjectivity for foreigners based on the theory of nature is necessary to review the nature of the rights to realize human rights, that the Constitution does not presuppose exclusivity to foreigners, and that classification according to the nature of traditional basic rights may vary according to the changes of the times.&#x0D; It is necessary to switch to apply it to foreigners without discrimination in the minimum area necessary for a dignified life as a human being. The right to receive social security can be viewed as a basic right, but it is an area in which the discretion of legislators is allowed in a wide range, unlike basic rights with the nature of freedom.&#x0D; In the field of social insurance and social services, foreigners are treated equally, but rather, in the areas of public assistance, which is most necessary for a human life, it is applied mainly by marriage immigrants, and the scope of coverage is expanded to a limited extent. The current system of our law treats foreigners equally in social insurance and social services, but rather applies mainly to marriage immigrants in the areas of public assistance most necessary for a human life, and recognizes guarantees to permanent residents to a limited extent, which should be considered expanding the scope.&#x0D; Policy acceptance of multiculturalism and foreigners should consider both the perspective of social integration and social cost. From a social integration perspective, the integration of foreigners who are members of our society must be included in the social integration process of the people, and from a social cost perspective, it is necessary to seek a direction to reduce long-term social costs through the creation of a foundation for education and permanent residence in the long run, not just a support policy.
Implementasi Sistem Informasi Manajemen Pendidikan dalam Proses Pembelajaran di SMKN 1 Cijulang

This study describes the implementation of the Education Management Information System (SIMDIK) in the learning process at SMKN 1 Cijulang. Educational management information systems were developed to meet the needs of institutions/schools, where schools want the learning process to use information systems in an effort to answer the challenges of the 21st century which requires institutions/schools to develop a management information system (MIS) to create learning that is not monotonous and boring for students in class. This study uses qualitative methods using observation, interviews and documentation as data collection techniques. the results of this study indicate that the implementation of the Education Management Information System (SIMDIK) at SMKN 1 Cijulang in the learning process utilizes the learning application system, namely Edmodo, E-Raport and Smart Board for the Axioo class in creating interactive learning is quite good. Supporting factors in the application of an education management information system at SMKN 1 Cijulang are the existence of a dapodik information system that is useful for registering students, educators and education personnel (PTK), the support and cooperation of various parties in infrastructure or human resources in supporting SMKN 1 Cijulang as a school. implementing a digitalization system. As for the obstacles encountered in the learning process at SMKN 1 Cijulang including elderly teachers who have difficulty using management information system (SIM) applications.
A GIS-based modified frequency ratio model for gold potential mapping in Kelantan Malaysia

Mineral system factors control the distributions of orogenic gold deposits in our immediate geological environment. The spatial knowledge of the relationship between the mineral factors and the gold deposits are crucial to locating these deposits in the environment. However, there is a current challenge in understanding the spatial correlation between ore genesis factors and orogenic deposits. Our paper analysed the spatial relationship between ore controlling factors and orogenic gold deposits in the Gua Musang area Kelantan, Malaysia. The procedure applied a modified frequency ratio model (MFR) to generate the gold potential map of the study area. The model relied on the spatial distribution of known gold deposits to predict new ones. Eight (8) known gold deposits and five (5) selected factors were used in the analysis. These factors include NE-SW lineaments, NW-SE lineament, host rock, heat source, alteration of iron and clay. The new findings show the factor with the highest predicting rate (Lineaments NE-SW) as the major gold deposits distribution factors within the study area. The created map highlight both known and new deposit locations. The area under curved (AUC) statistical graphs were used for the accuracy test. The results show 92.50% accuracy; thus, the approach is adaptable for gold mapping in Malaysia.
Understanding virtual product design through holoportation glasses in COVID-19 reality world

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation P. Zatoń, S. Z. Abidin, M. Zbiec; Understanding virtual product design through holoportation glasses in COVID-19 reality world. AIP Conf. Proc. 21 March 2024; 2750 (1): 040005. https://doi.org/10.1063/5.0148578 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Analisis Pengaruh ChatGPT Terhadap Tingkat Kemalasan Berpikir Mahasiswa ITS Dalam Proses Pengerjaan Tugas

In the continuously evolving digital era, Information and Communication Technology (ICT) has transformed the landscape of higher education. One of the emerging innovations is the use of ChatGPT. The use of ChatGPT in the learning process can also have complex impacts. One of the aspects that needs attention is the possibility of an increase in students' levels of laziness, as ChatGPT can interpret and engage in natural human language conversations. The objective of this research is to provide an understanding of how the use of ChatGPT in the context of higher education can influence student behavior and motivation. The research conducted is of an analytical observational type with a cross-sectional approach. The research was conducted at the Institut Teknologi Sepuluh Nopember in Surabaya. The population in this study consisted of ITS students. The sample used in this research included 100 ITS students. Data collection techniques in this study involved surveys through Google Forms and observations. The instruments used in the research included validity sheets, observation sheets, and documentation. Data analysis techniques used in this research included validity testing, observation data analysis, prerequisite testing, and hypothesis testing. The research results indicate that there is an influence of ChatGPT on the level of laziness among students in completing assignments. However, this influence is not statistically significant.
Pengaruh ChatGPT Terhadap Proses Pembelajaran Mahasiswa di Institut Teknologi Sepuluh Nopember

With the advancement of technology, more and more OpenAI products have emerged, one of which is ChatGPT. The use of ChatGPT has been widely adopted, particularly in the field of education. Numerous previous studies have shown that the use of ChatGPT in the learning process has a positive impact. Therefore, this research aims to determine students' preferences for the use of ChatGPT in the learning process. This study employed a descriptive method with a quantitative approach and will be measured using a Likert Scale. The research showed that most students gave a positive response to the use of high-scale ChatGPT to assist the learning process in lectures because of the role and benefits provided by ChatGPT in three aspects of the learning process, including student engagement, material understanding, and learning effectiveness.
Exploring GPT-4's Characteristics Through the 5Vs of Big Data: A Brief Perspective

In the dynamic field of modern artificial intelligence, GPT-4 emerges as a key participant, addressing challenges similar to Big Data's 5Vs—Volume, Velocity, Variety, Veracity, and Value. This study explores the convergence of GPT-4's operational framework with the core aspects of Big Data, highlighting the model's flexibility and efficacy in handling intricate datasets. GPT-4 excels in managing extensive textual data, aligning with Big Data's voluminous nature, and demonstrates real-time processing capabilities to match the rapid evolution of Big Data. While initially text-oriented, GPT-4 expands into image recognition, enhancing versatility and aligning with Big Data's Variety aspect. The model's evolving proficiency in non-textual domains broadens its utility. Addressing Veracity, GPT-4 critically evaluates diverse training data, mirroring Big Data's challenges in ensuring accuracy. Its outputs, offering context and insights, contribute to actionable knowledge and align with Big Data's objectives. Despite differences, GPT-4 serves as a microcosm, providing scalable and accessible data processing capabilities, establishing itself as a crucial tool in the AI domain. This paper emphasizes the parallels and underscores GPT-4's adaptability in handling complex datasets.
Implementation of Agile Software Development Methodology in Software Projects

This research is a systematic literature review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) as a method to gather literature on agile software development methodology from Google Scholar. The result of this study is a summary of 11 articles related to Agile software development. The recommendation of this study is the use of the GLUX framework. GLUX framework integrates Lean UX into Scrum to improve the sustainability of the rapid software development process. It aims to promote a user-centric mindset and collaborative UX activities during the development process using gamification techniques. GLUX is about self-reliant teams, creating a motivating environment, and fostering teamwork.
Comparative analysis of data classification methods for prediction of trade-in auto prices

In the presented article, machine learning algorithms are used to predict the price of cars. Forecasting the price of cars is one of the most important issues in modern times, because the number of car users is increasing year by year worldwide. Therefore, it may be interesting for many car owners to know the approximate price of cars in advance. The vehicle’s build date, mileage, size and other parameters are essential data for the machine learning process. Based on these parameters, the data needed to predict the price of any car was classified and a training dataset was created. Based on this data set, some interesting predictions were made. The purpose of the article is to consider the pre-processing of data, to determine and analyze what achievements the direction of artificial intelligence has achieved on the basis of predicting the price of cars. Hybrid forecasting methods using statistical analysis and machine learning methods were used in the research.
The Influence of Using Genre Based Instruction (GBI) in Writing Skill Exposition Text in Students SMPN 3 Pringgarata

This study was aimed at finding out the influence of genre-based instructional model in the teaching of writing skills viewed from students’ text exposition. This study employed a quasi-experimental research design. The samples consisted of two classes in which one class was treated by using genre-based instructional (GBI) model and the second class was subjected to the process-based instruction (PBI) model. The writing exposition text were functioned as research instruments to collect the data in both classes. The data were analyzed by using the multifactor analysis of variance (ANOVA). The research finding informed that the GBI model was more influence than the PB model I. It was proved with the value of Process-Based Instruction (56) was lower than Genre Based Instruction (69). It means that the used of Genre Based instructional model have influence in writing skills exposition text. The finding indicates that there is significant interaction between instructional being applied in the teaching of writing skill exposition text.