Reviewerly/exHarmony huggingface dataset:
Petrography, Mineralogy and Diagenetic history of the Sarmord Formation (Valanginian-Aptian) in selected areas, Northeastern Iraq

This research studies the petrography, mineralogy and diagenetic history of the Sarmord Formation at Sulaimani and Erbil Governorates in Northeastern Iraq. The Sarmord Formation consists mainly of alternated yellowish to bluish gray bedded marly limestone with yellowish gray soft marl beds. Petrographic investigations of the marly limestones were based on 270 thin sections and show that the skeletal grains include bioclasts, foraminiferas, radiolarians, calcispheres, echinoderms, ostracods and cephalopods. The groundmass is composed of micrite with light brown to gray colors, rich in organic materials and iron oxides. The X-ray diffraction analysis of the marls revealed that the abundant clay minerals in the Sarmord Formation are kaolinite and smectite -illite mixed layers, in addition to chlorite traces, which may indicate an increasing influx of detrital minerals from the continental weathering because of the humid Early Cretaceous climate. Non-clay minerals include calcite and quartz with subordinate feldspars. The main diagenetic processes affecting the Sarmord Formation carbonates are micritization, dissolution, cementation, compaction, dolomitization, dedolomitization and authigenic minerals (pyrite and silica). These belong to three diagenetic stages; early (shallow burial), middle and late (deep burial).
GUI BASED FACE RECOGNITION SYSTEM

Security is the main concern in any web application or apps.To ensure security, biometric systems are used for higher security system.Usually many of the security-based devices use fingerprint authentication for access.Fingerprint recognition-based devices have a large demand for security concerns.In the realm of web applications and software systems, security remains a top priority.Biometric authentication, particularly fingerprint recognition, has emerged as a reliable method for ensuring robust security.However, the need for direct fingerprint contact or passwordentry in some portals and software systems poses challenges.Authentication plays a critical role in system control and security, but the physical unavailability of individuals due to remote work or other circumstances limits the effectiveness of fingerprint-based authentication.To overcome these limitations, this paper proposes the adoption of contactless biometric systems, specifically face recognition technology, as an alternative authentication method.By leveraging face recognition, users can authenticate themselves without physical contact, offering a secure and convenient means of accessing sensitive information.This solution addresses the drawbacks of traditional fingerprint-based systems and enhances security in login systems.By embracing contactless biometric authentication methods like face recognition, organizations can not only mitigate the challenges associated with physical unavailability but also enhance security and user experience.This paper highlights the importance of incorporating face recognition technology as an alternative authentication method in login systems, providing improved security and accessibility in various applications.
Cloud workflow scheduling optimization research based on ant colony algorithm

In view of the fact that enterprises can improve productivity through workflows, the problem of huge number of multi-user workflows and unbalanced user load on cloud computing platforms is investigated, based on an ant colony algorithm for decision task optimisation.With the help of a colony intelligence algorithm, automatic scheduling of tasks and optimisation of resources are accomplished while satisfying the enterprise's needs, while meeting server time constraints and load balancing.The optimised cloud workflow scheduling algorithm builds an intelligent business system that is highly flexible and scalable, and three times faster in terms of processing speed than before the optimisation.
Sub Aquatic Image Correction with Oceanic Species Eye Mechanism using MATLAB

Abstract: Our work is based on the idea of improving underwater images based on the structure and function of the subaquatic ocean species retina. Our goal is to solve image degradation problems caused by blurry and uneven colors. Our design also compares various image enhancement techniques using different filters and contrasts and compares the results. Fishes have retinas with rods and cones that help them to see images clearly under the water. Color contrast is specially corrected using the red correction line and feedback from the horizontal line. Because a single image is used, this method does not require special equipment or knowledge of underwater structures or the underwater environment. Higher contrast, sharper edges and better visibility in the dark means better photos and videos. The algorithm is mostly independent of camera settings. Index: Underwater Imaging, White Balance, Color Correction
The Effect of English Song Media on Students' Vocabulary Pronunciation

Language is a communication tool that plays an important role in human life. By using language, one can relate to other people. Pronunciation is very important in vocabulary development because it involves distinguishing between sounds that combine to form words and concepts. Observations are carried out by observing and carefully recording events in the classroom, which occur during the interaction of all participants in the learning process at school. This study chose class IX students because the age level of these students is usually students who are less interested in learning one language, especially English. This research was conducted in four meetings. The results of the study indicate that the results of interviews that have been conducted by researchers indicate that the answers received by researchers indicate that students are very motivated and happy in learning English by using the media song. In addition, based on the results of observations and actions taken by researchers in using song media in teaching and learning activities, shows that students have succeeded in bringing about changes in how to pronounce the vocabulary spoken in every word tested. The important aspect of influencing the nation's vision and mission. Education is the key to a better future. Pronunciation is very important in vocabulary development because it involves distinguishing between sounds that combine to form words and concepts.
PENDAMPINGAN DALAM MENGEMBANGKAN DAN MENENTUKAN IDE POKOK PARAGRAF SEBAGAI PERSIAPAN UN DI SMPIT DAN SMAIT YAPIDH

&lt;p&gt;&lt;em&gt;One of the problems in the low interest in learning Indonesian is the too long paragraphs of a discourse and the difficulty in determining the important elements in the paragraphs. In addition, the topics on a writing, sometimes become something that is very complicated to understand. From starting to determine the main sentence, main ideas, even the main ideas contained in a writing. To determine a main idea, it can be studied or reviewed from the material about paragraphs and its development. The problems that often arise are in the Indonesian National Examination questions, usually students have difficulty determining the main idea and main sentence and determining the theme of the entire paragraph. This ibM activity aims to provide an understanding of paragraph development and determine the main idea and main sentence in a paragraph as a form of preparation for the National Examination at SMPIT and SMAIT Yapidh. The methods used in this community service are lectures, questions, and answers with assignments. The results of the activity show the importance of understanding paragraph development and how to determine main ideas and main sentences in preparation for the National Examination. This is very helpful in increasing the confidence of students when facing the Computer-based National Examination. Because, by understanding and knowing the main idea of a paragraph correctly, students can find out the outline of the story and can conclude the contents of the paragraph appropriately.&lt;/em&gt;&lt;/p&gt;
Noise Analysis of Grover's Quantum Search Algorithm

For searching an item in unstructured databases, Grover's quantum search algorithm offers quadratic speedup overclassical search algorithms. This paper reports 2 to 5 quantum-bit (Qubit) implementations of Grover's search algorithmusing the phase-flip method for oracle function realization without any extra ancilla qubit. A comprehensive estimation andanalysis of the theoretical and physical accuracies of the algorithm have been presented. The impact of increasing qubits onaccuracy has been computed and analyzed. The metrics delineated for comparison are the number of qubits and gates, depthof the circuit, execution time, and theoretical/physical accuracy. The results revealed a greater disparity between theoreticaland physical accuracy using a higher number of qubits perceived to be caused by noisy qubits utilized in computations. Thenovelty of the work is the investigation of variations caused by the noise in the accuracy and execution time of Grover'ssearch algorithm. The results indicate that because of noise, the accuracy of 2- and 3- qubit implementations declined by14.49% and 33.86%, whereas the execution time increased by 50% and 80%; respectively.
NEW STUDENT CLUSTERIZATION BASED ON NEW STUDENT ADMISSION USING DATA MINING METHOD

The process of admitting new students to the Faculty of Information Technology (FTI) at Universitas Budi Luhur produces a large amount of student data in the form of student profile data and other data. This happens causing a buildup of new student data, thus affecting the search for information on that data. This study aims to classify regular undergraduate admissions data at the Faculty of Information Technology (FTI) Universitas Budi Luhur by utilizing the data mining process using the clustering technique. The algorithm used for clustering is the K-Means algorithm. K-Means is a non-hierarchical clustering data method that can group student data into several clusters based on the similarity of the data, so that student data with the same characteristics is grouped in one cluster and those with different characteristics are grouped in another cluster. An implementation using RapidMiner is used to help find accurate values. This research produced a description of what clusters were formed from data on regular undergraduate admissions at the Faculty of Information Technology (FTI) at Universitas Budi Luhur. This will help recommend decision-making to determine the marketing promotion strategy for each study program at Universitas Budi Luhur. Based on the results of the K-Means algorithm cluster, it can also be seen which majors or study programs are of interest in each school from which new students come.
Set-fuzzy-set-norm Variation of Set-fuzzy-set Multifunctions

In this paper, we introduce F(R p ), the collection of all finite sets of fuzzy subsets in F bc (R p ), which is the class of the upper semicontinuous fuzzy subsets of R p with bounded convex compact closure of the supports.Then we define set-fuzzyset multifunctions and discuss various kinds of them such as monotone, fuzzy measure, subadditive, null-additive, null-nulladditive, multisubmeasure and null-continuous.We introduce the set-fuzzy-set-norm variation of a set-fuzzy-set multifunction and present some properties between a set-fuzzy-set multifunction and its variations such as fuzzyness, continuity from below, null-additivity, and null-null-additivity.
ModalNeRF: Neural Modal Analysis and Synthesis for Free‐Viewpoint Navigation in Dynamically Vibrating Scenes

Abstract Recent advances in Neural Radiance Fields enable the capture of scenes with motion. However, editing the motion is hard; no existing method allows editing beyond the space of motion existing in the original video, nor editing based on physics. We present the first approach that allows physically‐based editing of motion in a scene captured with a single hand‐held video camera, containing vibrating or periodic motion. We first introduce a Lagrangian representation, representing motion as the displacement of particles, which is learned while training a radiance field. We use these particles to create a continuous representation of motion over the sequence, which is then used to perform a modal analysis of the motion thanks to a Fourier transform on the particle displacement over time. The resulting extracted modes allow motion synthesis, and easy editing of the motion, while inheriting the ability for free‐viewpoint synthesis in the captured 3D scene from the radiance field. We demonstrate our new method on synthetic and real captured scenes.
INTEGRAL DEVELOPMENT OF THE FUTURE SPECIALIST PERSONALITY

According to a wide variety of information, for a young person who embarks on an independent path (in scientific publications this period is called the level of personal development), the specific thing is the dominance not of an educational institution, not of learning, not of entertainment and recreation, but of society, of course, in each individual; s own worldview. The peculiarity of a person, which determines the significant characteristics of his / her nature, is the systemic unity of special objectively determined creative activity – operations and subjectivity, which contains the necessity, need, ability and possibility of changing, expanding, projecting such activity, treating it as acondition of one; being and one; growth and holistic development in it. In ontogenesis, there is not only development, growing up – at the level of mastering the complete, specialized qualities and properties of a species, but also development with open boundary lines – development-self-development. This involves expanding one capabilities beyond biologically determined growing up, and developing on the basis of expanding conditions and changing one environment and oneself in it. Self- development is initially a determining factor of the movement. The growth of human development in ontogenesis is an important structural component of this process, where the effective and original quality of implementation depends on the extent to which a person becomes a real subject of his / her subjective development and self-development. The degree and level of self-development are determined by its real manifestation in the evolution and differential development of the subject effectiveness. Self-development of the subject, which is manifested in the growth and development of his / her subjectivity, ability and need for self-determination, self-knowledge, in its essence implies the need and necessity of realizing the achieved level, with a tendency to self- realization as a condition and result of not only evaluating oneself and one capabilities , but also defining oneself among others. We mean self- realization, which implies belonging to society in its effectiveness as a condition for further self-development. Self-realization implies the individual belonging to society in its effectiveness as a condition for further self-development. Any activity of an individual projects his / her involvement in the social field, his / her functioning in the system of social relations.
Analysing the Impact Factors of Customer Loyalty Among Small and Medium-Sized Hotels (Smshs) in Dubai

Purpose: This study aims to identify the most important characteristics that contribute to customer loyalty in the hotel sector, specifically in Dubai's hotels. Theoretical framework: Small and medium-sized hotels (SMSHs) were examined from the standpoint of their customers using customer loyalty as a performance metric. This research will shed additional light on how customer satisfaction and trust in SMSHs contribute to customer loyalty, particularly within Dubai's hotel sector SMSHs. Design/methodology/approach: A quantitative study involves the use of statistical analysis and numerical data to test hypotheses and draw conclusions about the relationships between variables based on a sample of 372 respondents from SMSHs in Dubai. Findings: The findings showed a positive and significant relationship between customer trust, service quality, customer satisfaction and customer loyalty in the SMSHs in Dubai. Also, customer satisfaction mediates the relationship between customer trust and customer loyalty, and customer satisfaction mediates the relationship between customer trust and customer loyalty in the SMSHs in Dubai. Research, Practical &amp; Social implications: To boost client satisfaction, hotels should undertake a more detailed service assessment of online hotel performance and improve the hotel's application system, which is prone to faults, by speeding up digital technology. Originality/value: An original study on small and medium-sized hotels in Dubai would provide valuable insights into the unique challenges and opportunities faced by this segment of the hospitality industry in a highly competitive and dynamic market.
E-Learning and its Influence on Enhancing the University Performance During the Outbreak of the Corona Pandemic

Purpose: This paper aims to determine the influence of e-learning and its dimensions on university performance, taking the University of Basra’s various faculties as a field study. Theoretical Framework: The study’s hypotheses are divided into one central hypothesis and four sub-hypotheses constructed and grounded on the dimensions of e-learning. Infrastructure, technical support, management, organization, and content were taken as dimensions of the independent variable, and University Performance as the dependent variable. Design/Methodology/Approach: This paper uses a quantitative method with a deductive approach. One hundred sixty participants responded to a structured questionnaire as part of the study’s descriptive analytical procedure. Data were analyzed using the SPSS program. Statistical analyses were applied to test the research hypotheses and meet the study’s goals. Findings: Results revealed a positive association linking the application of e-learning dimensions. Universities are motivated to apply e-learning strategies due to their positive influence on leveraging university performance. Infrastructure, technical support, management and organization, and content positively influence university performance. Research, Practical and Social Implications: This paper highlights the features and dimensions influencing university performance significantly in the Iraqi context. Hence, executives of public and private universities will be able to determine the actions to be adopted to advance and progress the implementation of e-learning and performance. Originality/Value: The paper’s originality stems from the significance and recency of the addressed topic. This paper is the first empirical research presenting a diagnosis of e-learning dimensions and university performance at Basra University during the outbreak of the corona pandemic. It is an original paper conducted in the Iraqi context.
University students’ opinion on their instructional motivation

Instructional motivation is relevant for student academic success and the improvement of teaching strategies.Many factors contribute to the growth of student's motivation to learn.The scientific literature investigated this issue and its different dimensions related to specific components of the educational process at the university level.This study investigates the opinion of university students on their level of instructional motivation, after a semester of using the ARCS model in the teaching process.The students' responses showed a percentage over 50% for instructional motivation with high frequencies of manifestation in the specific dimension of ARCS model.Knowing the opinion of the students about their instructional motivation, teachers could use it in the teaching process and improve their teaching strategies.Also, by adapting the teaching model to students' instructional motivation, the results could be an educational context supporting students who are not so well motivated for the instructional learning process.
Semantic Retrieval of Remote Sensing Images Based on the Bag-of-Words Association Mapping Method

With the increasing demand for remote sensing image applications, extracting the required images from a huge set of remote sensing images has become a hot topic. The previous retrieval methods cannot guarantee the efficiency, accuracy, and interpretability in the retrieval process. Therefore, we propose a bag-of-words association mapping method that can explain the semantic derivation process of remote sensing images. The method constructs associations between low-level features and high-level semantics through visual feature word packets. An improved FP-Growth method is proposed to achieve the construction of strong association rules to semantics. A feedback mechanism is established to improve the accuracy of subsequent retrievals by reducing the semantic probability of incorrect retrieval results. The public datasets AID and NWPU-RESISC45 were used to validate these experiments. The experimental results show that the average accuracies of the two datasets reach 87.5% and 90.8%, which are 22.5% and 20.3% higher than VGG16, and 17.6% and 15.6% higher than ResNet18, respectively. The experimental results were able to validate the effectiveness of our proposed method.
Analysis of Embedding Locations in the Subband Frequency DCT on Scanned Images

Uploading an identity card as an image for the account verification process or transactions online can be a threat to application users. Identity card theft can be carried out by irresponsible persons if the application can be hacked. Therefore, protection of the image is required for authentication. In this study, the proposed technique is watermarking. A watermark in the form of a binary image will be embedded into the image as ownership using a Discrete Cosine Transform. The Discrete Cosine Transform works in the frequency domain. The location of the embedding of different watermarks was analysed in each 8×8 DCT block. The results of the analysis to assess the imperceptibility of original images and watermarked images using PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index Measure), while assessing the watermark robustness embedded using NCC (Normalized Cross Correlation). The results show PSNR (Peak Signal to Noise Ratio) ≥ 54 dB with a watermark strength of 0,1 and an average SSIM (Structural Similarity Index Measure) ≥ 0,9 on 4 scanned images in BMP format with a resolution of 100 DPI. A good watermark embedding is done on the green component at middle frequencies to maintain a balance between imperceptibility and robustness. In contrast, the red component at low frequency is vulnerable to attacks in the form of brightness +20 and contrast +50 with an average NCC (Normalized Cross Correlation) ≤ 0,85.
The Urgency of Digital Literacy in Indonesia on COVID-19 pandemic

For pupils, having a strong grasp of digital literacy is crucial, particularly in light of the COVID-19 pandemic. Every level of society is encouraged to have simple access to the internet by the use of distant learning. In this essay, we will investigate the state of digital literacy in Indonesia at the time of COVID-19 epidemic. A systematic review was used as the research methodology in this study. Campaigns to promote digital literacy are crucial during the COVID-19 epidemic, according to the research findings. Dealing with the COVID-19 outbreak will be made easier with the help of digital literacy. During the COVID-19 epidemic, the digital literacy movement will assist the general people in finding the appropriate information and passing the time. The following are other crucial elements in the development of digital literacy. 1) Understanding culture, namely the diverse contexts in which users of the digital world operate; 2) Cognitive, or the capacity for cognition when evaluating the content;three) constructive Communication, specifically an awareness of network and communication performance in the digital age, self-assurance in one's ability to act responsibly, creativity—doing things differently—critical thinking about content, and social responsibility.