Reviewerly/exHarmony huggingface dataset:
Mineral Composition and Provenance of Al-Chabbab Stream Sediments, Wasit, Southeastern Iraq

A mineralogical study was carried out on the sediments of Al-Chabbab stream, one of the seasonal tributaries of the Tigris River, southeast of Wasit, Iraq. This study includes the sediments of the Tigris River sited before and after the mouth of the Al-Chabbab stream. Light and heavy minerals are determined by using polarized microscope and X-Ray Diffraction technique. The light minerals are composed of quartz, rock fragments, and feldspar, which are the prevailing compositions in all samples. The quantity of monocrystalline quartz in the Tigris River was more than Al- Chabbab stream, which refered to the supplied of felsic sours rocks sediments to the Tigris River more than the sediments of Al-Chabbab stream. The average value of minerological maturity index and ZTR index of Al-Chabbab stream, Tigris and Al-Chabbab inflow samples indicates that clasts generally are sub-mature. The Tigris River clasts have high mineralogical maturity index, which refers to the long transportation. Heavy mineral accumulation of the recent sediments from Al-Chabbab inflow and the Tigris River is composed of opaque and transparent minerals including epidotes; pyroxenes; amphiboles (hornblende and glaucophane); zircon; garnet; tourmaline; rutile; kyanite; staurolite; flaky minerals (muscovite; biotite and chlorite) and celestite (glaucophane and celestite are absent in the sediment of Tigris River). Based on the mineralogical signatures, the light and heavy minerals reflect metamorphic, mafic and felsic igneous rocks, of the active margin of the unstable shelf, in addition to the carbonate, evaporite and mud rocks that could be sourced from the Euphrates, Fatha and Injana formations.
Auto-response Email based on User Habits with Privacy Model Approach and Cloud Adoption

Email is an application that is used as a means of sending letters via a computer network or the internet. Many people whose work is done relate to other people, and email is the main channel through which work and related information can be distributed. An email has a feature that is to enable automatic responses. This feature is in the form of an automatic reply that will be sent in response to emails received when the email user is unable to respond. However, this feature still uses the default email to reply to receive emails. So in this study, the researcher proposes a new system to develop this feature by using user habits when the user replies to incoming emails. Using text processing techniques and sentiment analysis, we build a retrieval algorithm that finds similar cases outside of exact matches. This study uses a Cloud Adoption and is designed to use Power Automate to improve the performance of the system.
Neo-Tectonism and Quantitative Morphotectonic Analysis of Roste Valley at Imbricated-Suture Zones, Kurdistan Region, Iraq

The morphotectonic analysis was done of the Roste valley, within the Imbricated and Suture zone of the Zagros Fold,Thrust Belt. The formations of the Imbricate Zone are of Jurassic and Cretaceous ages and the Suture Zone is covered by Zagros nappes of the Tertiary period. The Zagros Fold-Thrust Belt passes through several stages and tectonic phases. During the last stage of the Zagros Fold-Thrust Belt development from the Savian to Valahian and Pasadenian tectonic phases, the study area is influenced by active tectonic activity which is reflected by geomorphic properties in each subbasin. The migration of the Roste stream across oblique fault leaves 7 levels of the river terraces which are also signs of Neotectonics. The study area is divided into 18 subbasins for the morphotectonic analysis through applying geomorphic indices (HI, SL, Vf, Af, Smf, and Bs) and accordingly the index of relative active tectonics was indicted. The morphotectonic study reveals that the index of relative active tectonics is higher in the Suture Zone than in the Imbricated Zone. The index of relative active tectonics of the Suture Zone’s subbasins ranges from high to very high neotectonics activity (1.67-1.17), whereas of the Imbricate Zone’s subbasins ranges from medium to high active tectonic activity (2.33-1.67). The results are related to morphotectonic indices that show the balance between the tectonic and erosion process.
AUTOMATA, STRINGS AND WORDS OF LANGUAGES: A CONCEPTUAL REVIEW

With several applications in areas like file reduction, XML processing, and verification, automata theory has gained popularity recently.Automata is the Latin word for automation, which refers to the use of modern technology to automatically address problems or do activities.There isn't a single book written for an audience of mature students that covers the broad variety of applications of automata theory.This essay can be used as an intermediate-level article and is meant to cover this small gap.The paper starts off with a thorough explanation of an automata theory concept before swiftly moving on to applications.The article also discusses strings as combinations of letters, whereas language's strings are words, which are always made up of strings.
Temporal-Guided Label Assignment for Video Object Detection

In video object detection, the deterioration of an object’s appearance in a single frame brings challenges for recognition; therefore, it is natural to exploit temporal information to boost the robustness of video object detection. Existing methods usually utilize temporal information to enhance features, often ignoring the information in label assignments. Label assignment, which assigns labels to anchors for training, is an essential part of object detection. It is also challenged in video object detection and can be improved by temporal information. In this work, a temporal-guided label assignment framework is proposed for the learning task of a region proposal network (RPN). Specifically, we propose a feature instructing module (FIM) to establish the relation model among labels through feature similarity in the temporal dimension. The proposed video object detection framework was evaluated on the ImageNet VID benchmark. Without any additional inference cost, our work obtained a 0.8 mean average precision (mAP(%)) improvement over the baseline and achieved a mAP(%) of 82.0. The result was on par with the state-of-the-art accuracy without using any post-processing methods.
Industry 4.0 cross-domain blockchain solutions in healthcare

Industry 4.0 linked initiatives promoting the role of Information and Communication Technology (ICT) enable manufacturing companies to upgrade underlying infrastructure and improve competitiveness in the past decade. The supply chain disruptions and geo-political instability are further attracting investments towards Industry 4.0 to manage uncertainties. Comparably, the pandemic has revitalized the healthcare expenditure, accelerating adoption of innovative and inexpensive digitally enabling technologies. The undergoing rapid change in healthcare requires quick access to past diagnoses, effective treatments, and new application domains of technology-curated treatments. Industry 4.0 linked high-precision devices and enabled ICT, therefore, find maturity to cross-domain solutions with disrupting technologies such as artificial intelligence (AI), machine learning (ML), immersive technologies, cyber physical system (CPS) automation, Blockchain, and the Internet of Things (IoT) expected to percolate into every major aspect of healthcare. This chapter presents a systematic investigation of the trends in cross-domain solutions from Industry 4.0 to healthcare 4.0 with blockchain technologies as a key enabler. A three-quadrant visualization across academic manuscripts, global patent grants, and technical standards provides a better understanding of the underlying blockchain technologies relevant to healthcare and its clinical aspects. The discussions will serve as a template for industrial and medical stakeholders toward experimentation and incorporation.
Layanan Orientasi Berbantuan Multimedia untuk Meningkatkan Pengambilan Keputusan Studi Lanjut Siswa SMA

The purpose of this study was to determine the level of decision making for further study to tertiary institutions by providing multimedia-assisted orientation services to students of class XII MIPA 8 SMA Negeri 1 Rembang.This research is a classroom action research conducted in two cycles. The subjects of this study were students of class XII.MIA.8 SMA Negeri 1 Rembang. The data collection technique used is a non-test technique using a questionnaire instrument and observation sheets. While the data analysis technique uses quantitative data analysis, namely descriptive percentages and qualitative descriptive analysis for qualitative data.The results showed that the provision of multimedia-assisted guidance services increased by 96.15% of students' ability to make decisions in the high and very high criteria. This increase was due to the provision of multimedia-assisted orientation services where students could obtain detailed and clear information about tertiary institutions.
Combining Variable Neighbourhood with Gradient Ascent for Learning to Rank Problem

Abstract Variable Neighbourhood Search (VNS) is used to optimize the solutions for heuristic problems. Solutions are based on neighboring solution systematic changes. The changes are made during the ascending phase to get local optimum and the perturbation phase to gain the global optimum solutions. Exploration and Exploitation procedures are made through various mutation step-size. The objective function to choose the best offspring to be move to the next evolving generation. Thus, this paper uses a variation of VNS based on four random probability distributions with Gradient Ascent for adapting the mutation of Neighborhood solution in the next iteration. It has the ability moderate the next proposed neighbourhood based of the Parent and Offspring fitness values. We called this novel approach in Learning to Rank (LTR) as Gradient Variable Neighbourhood (GVN). This variant generates each Offspring ranking model solution from one probability distribution in the whole mutation procedure (all mutation step-sizes made by only one probability distribution for each Neighbourhood candidate). From the obtained results, we can conclude that the GVN method outperformed the recent research of Evolutionary and Machine Learning methods. In the experiments, we used Yahoo, Microsoft Bing Search (MSLR-WEB10K) and LETOR 4 (MQ2008, MQ2007) datasets.
Determinants Of The Quality Of Audit Services Moderated By The Auditor's Professional Ethics In The Public Accounting Office Of The South Jakarta Region

The COVID-19 pandemic affected audit quality due to various policies implemented by the government itself to deal with the pandemic, such as social distancing, work from home and even lockdowns which made it difficult for auditors to verify the findings they obtained during the audit. auditors who cannot perform audit procedures in accordance with applicable auditing standards, the auditors cannot issue quality audit reports and provide opinions that are not in accordance with the audit standard code of ethics, meaning that they do not apply professional audit ethics so that the auditor does not have the competence, professionalism and may not have the ability to manage information technology. This research is a quantitative research with primary data. The data collection technique used a questionnaire that was distributed to respondents to auditors working at KAP with active status in the South Jakarta area, with a total sample of 97 auditors. The results showed that the application of information technology, competence, and professionalism had a significant effect on the quality of audit services. As well as professional ethics of auditors is able to strengthen the relationship between the application of information technology, competence, and professionalism to the quality of audit services
PENGARUH LAMA WAKTU PEMAKAIAN (USIA) DAN BENTURAN FISIK PADA KASET COMPUTER RADIOGRAPHY (CR)TERHADAP CITRA RADIOGRAFI

Background: Computed Radiography (CR)is a radiographic image processing computer acquisition technology. In CR, the radiographic image results are stored in a special film cassette and expressed in the form of the gray level of the image pixels. The results of the radiographic image on the film cassette are then read by a scanner and then can be saved in the form of an image file, which can be a special digital film format called DICOM (Digital Imaging and Communication in Medicine). One of the disturbances that occur in the resulting CR image is artifact. The length of time used (age) of CR cassette can cause interference with the results of radiographic images. The longer the life of the CR cassette and the more frequent use of the CR cassette, the noise may appear in the radiographic image results. The condition of the CR cassette has a big effect on the formation od the image so that physical collision such as falling, regardless of grip or impact should be avoided when inserted into the CR reader.&#x0D; Methods: This type of research uses quantitative research with an experimental approach. The CR cassettes studied were 4 CR cassette with different sizes but the length of time used (age) was the same. All 4 CR cassette were exposes to the same exposure factor. The object used is the step wedge. The results of the radiographic images are evaluated subjectively by 5 respondents (radiographers) to draw conclusions.&#x0D; Results: The duration of use (age) of CR cassette is done properly and does not often occur, it will produce good radiographic image results and can be used to establish diagnoses. Physical impact on the CR cassette can results in artifact. Artifact contained in the results of CR images can interfere with diagnosis.
Design of an Information System for Testing the Blood Characteristics on Increasing the Impact of Vibration using a Prototype “Blood Shaker Machine”

Objective: The general purpose of this research is to design an information system based on the application of blood characteristics testing on platelets to increase the impact of vibration by using a "Blood Shaker Machine" examined through a Haematology Analyzer (HA) and Peripheral Blood Smear (SADT) at any changes in the increase in vibration. Method: The method used in this study is to design an application-based system on the "Blood Shaker Machine" and test the increase in vibration on changes in blood quality both in terms of the number and morphology of the platelets. Result: Significant changes in the morphology of erythrocytes and platelets in the 10 Hz vibration group for 15 minutes also indicated a change in the quality of blood cells, both erythrocytes and platelets. Conclusion: There is a significant difference in erythrocyte morphology changes between before and after being vibrated at 10 Hz with a p value of 0.014 and There is a significant difference in platelet morphology between before and after being vibrated at 10 Hz with a p value of 0.000.
Blockchain Deployment for Supply Chain Management in Agriculture

As a digital system that integrates cryptography, data management, networking, and incentive mechanisms to allow the verification, execution, and recording of transactions between parties, block chains are now firmly established. Block chain technologies have significant potential as a new basis for all types of transactions, even though its initial purpose was to support new kinds of digital currency enabling simpler and more secure payments. By using this technology as a platform to carry out "smart contracts" for transactions, particularly for high-value products, agribusiness stands to become a primary benefactor. Prior to further discussion, it is crucial to make a distinction between private digital currencies and the underlying distributed ledger and block chain technology. Since digital currencies like Bitcoin are dispersed and international in nature, central banks are unlikely to be able to effectively regulate their underlying protocols. Instead than being able to monitor and control the money itself, monetary authorities are more concerned with comprehending the "on-ramps" and "off-ramps" that make up the linkages to the conventional payments system. Contrary to the block chain's digital currency component, the distributed ledger feature has the potential to be widely used in agricultural and trade financing, particularly if processes involve several partners and there is no reliable central authority.
Using Affective Domain Components in Tackling Insecurity in Nigeria: Implications for National Development

Cognitive, Psychomotor and Affective domain are the three domains of learning. The paper identified that there is zero implementation of Affective Domain in Nigeria schools. The study discussed the inability of administrators and teachers to include affective domain ratings of students in schools as part of their overall performance. And that this is part of the reasons for increased violence and crime in the country. The study therefore recommends that policy makers and administrators should ensure that ratings and assessment of students in the Affective Domain should constitute part of their overall performance for better performance, reduction in crime wave, and for national development. Keywords: Affective Domain, Tackling, Insecurity DOI: 10.7176/JCSD/68-04 Publication date: November 30 th 2022
TYPES OF GRAMMATICAL ERROR ENCOUNTERED IN THE ENGLISH COMPOSITION OF THE THIRD GRADE STUDENTS OF INTERNATIONAL BOARDING SCHOOL AMANATUL UMMAH SURABAYA

English has been the foreign language in Indonesia for many years. It is taught from elementary school to university as a second language besides the first language, Indonesia. In senior high school, English is taught as the main subject in which the government has changed the curriculum starting from Curriculum Based on Competence 2004 to KTSP (Educational Unit Level Competence).
THE USE OF ZOOM APPLICATION TO SUPPORT ONLINE LEARNING DURING PANDEMIC TIME FOR STUDENTS OF ENGLISH DEPARTMENT AT UNIVERSITY OF NUSANTARA PGRI KEDIRI

In learning, an offline system (face-to-face) and an online system can be used to learn in order to process of acquiring knowledge. However, the world is now in total lockdown as a result of the Covid-19 virus, which has forced all activities, including education, to move to an online system. Students at University of Nusantara PGRI Kediri, particularly those in the English department, use a variety of online learning support applications, in order to facilitate online learning. One application that is used for frequent is Zoom Application. The purpose of this study is to find the use of Zoom application to support online learning, and the advantages and disadvantages of Zoom application during the pandemic time for English department students at University of Nusantara PGRI Kediri. This study used qualitative research as its technique. 22 first-graders (second semester) volunteered as subjects for data collection. Interview and questionnaire chosen as its data collecting technique. The findings of the data analysis display that the use of the zoom application can bridges the online learning as well as teacher and student interactions while on the other hand, zoom application has advantages and disadvantages that must be considered.&#x0D; &#x0D;
LITERASI DIGITAL SEBAGAI UPAYA MENINGKATKAN KUALITAS TENAGA DIDIK DAN PESERTA DIDIK

Information technology is an important part of education, especially educators and students. Students in today's digital era are required to learn technology so that information is not left behind and can be proactive in using media. One of the impacts of technology in the field of education is the emergence of teacher innovations in learning which is also known as e-learning. E-learning is learning carried out by electronic means in video, computer, and audio formats.The students in this case are the teachers. The teacher is a very important faktor in improving the quality of learning. However, there are still educators who lack adequate digital literacy skills. Currently teaching literacy is a skill that must be possessed by teachers. There is a positive side with the pandemic in Indonesia, learning is done online (distance learning), with technology that supports all needs in the teaching and learning process. Advances in information technology in the field of education can bring convenience to teachers or students and students in the learning process.The benefits of learning digital skills are the ability to access information quickly, saving time and money, making learning easier because it is not limited by time. In an effort to improve the quality of teachers in teaching in today's digital era, namely by providing lessons to teachers regarding the use of technology for learning, understanding conditions during learning, providing linkages between students when learning. As educators, they must provide education on how to use technology properly and correctly, conditioning when learning so that students do not feel bored and bored. Keyword : digital literacy, quality of students, students
PERBANDINGAN METODE ANN BACKPROPAGATION DAN ARMA UNTUK PERAMALAN INFLASI DI INDONESIA

A country's development progress can be measured by good economic growth. If economic growth experiences rapid growth, it will usually trigger price increases. The occurrence of an uncontrolled increase in the price of goods or services for the needs of the community can cause inflation. inflation rate for a country is an inflation rate that has a low and stable value. One alternative is to provide an overview of the inflation in Indonesia by using forecasting analysis techniques. In this study, inflation forecasting analysis in Indonesia was carried out using the ANN Backpropagation and ARMA methods. The purpose of this research is to compare the performance results of the two methods and look at the best method for forecasting results. Based on the results of the analysis with the ANN Backpropagation method, the best network architecture model was ANN(7-4-1) using an epoch value of 400 and a learning rate of 0,1 with a value of MSE = 0,0112 and RMSE = 0,1065. While the results of the analysis using the ARMA method, the best model was obtained, namely ARMA(2,0,1) with the value MSE = 0,0648 and RMSE = 0,2545. So that the most optimal method used to predict inflation for the next period is the ANN Backpropagation method because it has a smaller error value. From this model, the results of forecasting inflation rates for the months of May to December 2022 are also obtained with a range of 0,01% to 0,5%.
PEMELIHARAAN ARSIP DI BAGIAN SATUAN LAYANAN ADMINISTRASI PADA KANTOR PERWAKILAN BANK INDONESIA WILAYAH SUMATERA SELATAN DI PALEMBANG

The location of the research by the author is in the Representative Office of Bank Indonesia Region of South Sumatra in Palembang. Methods of data collection are by interview and observation, while the analysis technique used by the author is descriptive analysis techniques. From the analysis of the authors on the maintenance of archives in the Unit of Administration Services Representative Office of Bank Indonesia Region of South Sumatra in Palembang has not been done well, there are still many documents or archives torn because the size of the archive is too large to be stored in owner or bundle temple and place archive storage still smelly and dusty. The advice given by the author is to keep the archives protected from destructive factors, do maintenance activities according to the rules of the archive, such as every day to clean the archive to avoid dust, giving camphor to prevent odor and prevent insects, and the large archive storage of the folder keeps it in a suitable place to keep the archive unfolded which results in a torn archive. That way the maintenance of a good archive will facilitate the archiving activities.