Reviewerly/exHarmony huggingface dataset:
Investigating the relationship between academia and the information technology industry: a systematic literature review

This work aims to investigate the relationship between the information technology industry and academia from 2019 to 2023 through a Systematic Literature Review. The guidelines followed for conducting the SLR were established by Kitchenham and Charters (2007), through which it was possible to obtain a total of 34 primary studies. The results indicate that: (i) academia struggles to keep up with technological advancements due to the disparity between what is taught in the classroom and what is required by the industry; (ii) despite the challenges of keeping pace with technological advancements, academia is making efforts to address these issues through internal academic activities and industry-academia collaboration; (iii) there is a shortage of qualified workforce for the information technology market, particularly in terms of technical and interpersonal skills; and (iv) the job market has defined specific competencies for hiring in this field.
Improved dispersion-coded full-range spectral interferometry for large-depth samples

We present an improved dispersion-encoded full-range technique that is suitable for samples with a wide range of depths. Considering that the detection optical signal caused by the rough surface of the sample is weak, the signal is easily submerged by the disturbance term and the phase compensation is not accurate. In this paper, the DC is removed by subtracting the envelope of the interference spectrum, so that the DC broadening in the spatial domain is suppressed and the weak signal near the 0 optical path can be resolved. Considering the problem of unwrapping phase error caused by the inherent defects of the system, the accuracy of dispersion phase extraction is improved by evaluating the phase continuity and removing the greatly affected data. Using the proposed measurement method, the depth measurement range of the system is extended from 6mm to 12mm, and the full-depth image of the ceramic standard step block is measured experimentally.
The Organization of Negative Business Messages Preferred by Students in Higher Education

Written communication in an educational setting aims to convey messages related to academics or finances. The messages delivered contain either positive or negative information. This study aims to reveal the organization of negative business messages preferred by higher education students while receiving messages from university parties. The participants are the vice-chancellors for finance and academic affairs or the representatives (heads of divisions) at three private universities within the Association of Catholic Higher Learning Institutions as the senders and 170 active students in several universities as the receivers. This study uses quantitative and qualitative descriptive approaches. I collected data through online questionnaires, semistructured interviews, and observation of written documents in email and WhatsApp. I proposed four essential dimensions of negative message, namely, organization/approach, language, medium, and response, with the Likert scale questionnaire. I also inserted two cases of negative messages at the end of the questionnaire to find students’ tendency to select one they liked. The questionnaire results are used to discover the participants’ preference for the approach of relaying negative messages, corroborated by the interviews. The study found that students preferred direct approach to negative business messages. Buffers, prevalent in negative business with indirect order, are found in the email. A positive tone was not found at the end of the message. The study concluded that negative messages should be conveyed in writing with direct organizations and positive language and addressed to students before being forwarded to their parents
Exploring the Integration of Machine Learning Models in Programming Languages on GitHub: Impact on Compatibility to Address Them

GitHub repositories are often used for collaborative development, allowing multiple developers to work on the same codebase and contribute their changes. Each repository is typically associated with a specific project, and it can contain everything from code files to documentation, bug reports, and feature requests. Depending on the context, it can contain files, directories, other resources related to a project, and it is often associated with a particular programming language. By default, GitHub automatically detects the primary programming language used in a repository based on the file extensions and content within the repository. However, this detection is not true all the time; there are some potential issues to consider. One of these problems is that the detected language may not accurately reflect the actual programming languages used in the project, especially if the project utilizes multiple programming languages or has undergone language migrations. In this study, we apply an alternative technology to resolve problems with classifying the programming language of a GitHub repository by analysing file extensions and identifying all programming languages used in the project. We also determine the appropriate primary programming language for the repository. This paper investigates how this technology can address the issues surrounding GitHub’s automatic detection of a repository’s primary programming language and how it can provide information on all the programming languages used in a project.
Self-Confidence in 4th and 9th Grades: Differences between Age, Gender and School Subjects

This study focused on students’ self-confidence and analyzed the relationship between self-confidence and gender, age, subject, achievement, and other variables. The students from Latvia, Lithuania, Finland, Poland, Germany, Sweden, and Denmark were compared. The authors of this research analyzed the data from three large scale studies and compared 4th and 15-year-old students’ self-confidence in reading, Mathematics, and Science. IEA TIMSS2019 and PIRLS2016 for 4th grade students and OECD PISA2012, PISA2015, and PISA2018 for 15-year-old students (further in the study referred to as 9th grade students). The data analysis was performed on each above-mentioned study and each cycle separately. The authors of this research quartered all students into four self-confidence groups and performed linear regression analysis where self-confidence was the dependent variable and other described variables – independent. The authors compared students from the lowest and the highest self-confidence groups. Reading achievement was a strong predictor of reading self-confidence for both grade levels and both self-confidence groups. Mathematics achievement was an equally strong predictor of both self-confidence groups in the 4th grade while in the 9th grade, it was strongly related to the highest self-confidence group. Science achievement wasn’t significantly nor strongly related to any of the self-confidence groups or grades. The fact that students like/enjoy reading/Mathematics/Science was a strong predictor of reading/Mathematics/Science self-confidence in both grade and self-confidence groups, but for students in the lowest self-confidence group this factor was more strongly related to self-confidence. Mathematics anxiety was strongly and negatively related to self-confidence.
Lip-valve interactions with the resonant bore of a trombone

Players of brass instruments usually play at a pitch close to one of the strong resonances of the instrument bore, but can easily play either above or below a resonance. Simple one-degree-of freedom models having aperture in phase with longitudinal lip displacement do not readily explain auto-oscillationwith realistic values of lip losses and cannot explain oscillation at frequencies below resonance. Experimental measurements of lip motion, pressures and flows show that the lips’ longitudinal motion leads the transverse: the lips move downstream closed, then open, then retract while open. Because of the forward sweeping motion, flow starts before the lips open. The sweeping motion has two important effects: first, it allows a range of phases between pressure and flow. Second, it means that the DC pressure acts on a larger area in the forward motion than during retraction. Both have consequences for oscillation energetics. A simple calculation of the PdV work done on the longitudinal component of motion, using measured quantities, indicates that it could provide a substantial fraction of the energy necessary for auto-oscillation with lossy lips. These mechanisms might have implications for other auto-oscillatory systems such as the vocal folds.
Physical aspects of live clarinet performances

The clarinet is arguably the wind instrument that has been most extensively studied and described from the point of view of its physics. It has a relatively simple geometry, its embouchure can be fairly well approximated by a set of two control variables, and the air column can be accessed relatively easily, allowing for the measurement of control variables and acoustic variables close to the mouthpiece. As a result, extensive datasets have been collected, allowing understanding of how the sound produced by the instrument changes as a function of its control parameters. In this presentation, we explore a new dataset of control variables (mean reed displacement, blowing pressure, bite position, and others) and acoustic variables (sound level, pitch, spectral centroid, and others) recorded in performances on the clarinet by expert players. These data are compared with measurements and modeling of the instrument blown in mechanical conditions.
Implementation of Discrepancy Evaluation Application Based on TOPSIS-TTA

One of the developments in the field of educational evaluation utilized as an evaluation tool to identify the key elements that drive the success of blended learning is the TOPSIS-TTA-based Discrepancy evaluation application. This evaluation application combines the TTA (Tat Twam Asi) concept, the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, and the Discrepancy evaluation model concept. The purpose of this study is to demonstrate the implementation outcomes of the TOPSIS-TTA-based Discrepancy evaluation application at IT vocational schools in Bali, as well as the results of usage trials, final product revisions, and its dissemination. The research method used focused on the usage trial stage, final product revisions stage, dissemination stage, and implementation stage. The usage trials comprised 39 respondents, while the application test involved 150 participants. For the final product revisions, three research team members were engaged, along with 150 respondents during the dissemination activity. The assessment instruments employed during the trial usage and application testing were questionnaires. Bali’s IT vocational schools served as the study’s location. The study’s data analysis method was descriptive quantitative by converting the results of the application effectiveness percentage which has been compared with the standard effectiveness scale of eleven. The findings of this investigation suggest the effectiveness level of evaluation application including the advanced category, so that in general the evaluation application is ready to be implemented on a wide scale in the field. The significance of this study in the field of educational evaluation lies in its ability to simplify the process for evaluators in choosing high quality evaluation tools, relying on dependable trials of application implementation and usage.
Voice quality and its effects on university students' listening effort in a virtual seminar room

A teacher’s poor voice quality may increase listening effort in pupils, but it is unclear whether this effect persists in adult listeners. Thus, the goal of this study is to examine the impact of vocal hoarseness on university students' listening effort in a virtual seminar room. An audio-visual immersive virtual reality environment is utilized to simulate a typical seminar room with common background sounds and fellow students represented as wooden mannequins. Participants wear a head-mounted display and are equipped with two controllers to engage in a dual-task paradigm. The primary task is to listen to a virtual professor reading short texts and retain relevant content information to be recalled later. The texts are presented either in a normal or an imitated hoarse voice. In parallel, participants perform a secondary task which is responding to tactile vibration patterns via the controllers. It is hypothesized that listening to the hoarse voice induces listening effort, resulting in more cognitive resources needed for primary task performance while secondary task performance is hindered. Results are presented and discussed in light of students’ cognitive performance and listening challenges in higher education learning environments.
The Effect of Application of Discharge Planning Seci Model on The Completeness of Discharge Planning Documentation for Tuberculosis

Background: The implementation of discharge planning must be documented completely. Preliminary study found that 90% of discharge planning implementation is not documented. The weakness of the intervention that has been done by previous researchers is that it does not focus on increasing the completeness of documentation, especially on the documentation of discharge planning, the application of discharge planning based on knowledge management SECI model as an intervention applied to improve the completeness of documentation on discharge planning. Objectives: The purpose of this study was to determine the effect of discharge planning based on knowledge management SECI model on the completeness of documentation of discharge planning for tuberculosis. Methods: This research is quantitative research with quasi-experimental approach with post-test only design with nonequivalent control group. The number of samples was 34 medical records with a diagnosis of pulmonary TB, each of which consisted of 17 samples in the control group and 17 samples in the intervention group. The intervention in this research is the implementation of discharge planning based on knowledge management SECI model. The data were taken using the discharge planning SECI model observation sheet and the documentation completeness observation sheet which had been tested by expert and analyzed using the Mann-Whitney test. Results: The results showed p value is 0.000 &lt; 0.05. Conclusion: Application of discharge planning based on knowledge management SECI model has a significant effect on the completeness of documentation of discharge planning for tuberculosis (TB). Nurses must become to manage knowledge, good time management, and be a role model in providing nursing care.
Machine recognition of non-native speech: Task-specific language models versus large language models

Automatic speech recognition (ASR) has offered a reliable foundation for measurement of young children’s reading skills and of second-language (L2) speaking skills. This is because well-fit task-specific language models (LMs) enable recognition that supports accurate scoring of pronunciation, fluency, vocabulary, usage, and grammar (Bernstein and Cheng, 2023). ASR works well in these measurement tasks because measurement of word production, disfluencies, and pronunciation errors is not very sensitive to moderate differences in word-error-rate (WER) accuracy, and because speech-interactive tasks appropriate for reading instruction or L2 assessment elicit relatively predictable responses, for which task-specific low-perplexity ASR systems achieve sufficiently accurate speech recognition (Cheng and Townshend, 2003). In the work reported here, we compared the accuracy of two English ASR systems on a set of 718 extended spontaneous speech recordings from 77 adult non-native speakers of English speaking from six countries under uncontrolled recording conditions. A Kaldi-based ASR system with well-fit task-specific LMs achieved WER 17%, while USM, a general-purpose mSLAM recognizer with an RNN-T decoder, achieved 11% WER, which is a 34% relative improvement. The mSLAM + RNN-T technology will be briefly described and an analysis of results in three different open-response interactive speaking tasks will be presented.
Efficient measurement of spoken English skills: Design and validation of a 6-minute assessment

Efficient measurement of spoken language skills can improve educational and commercial services. Traditional spoken language assessments often require 30–90 minutes. We report the development and validation of a prototype mobile-browser test of spoken English, “APro”, that participants complete in 6–8 minutes. The APro test presents a stratified random draw of 20 interactive tasks (from pool of 377) to participants whose spoken responses are automatically scored, scaled, and reported. APro aggregates skill-specific measures from disparate task types such as open descriptions and story retellings. Each skill-specific score was independently validated, then combined into an overall spoken English score. APro scoring was trained on 30,000 responses from 354 non-native pilot-test participants who connected remotely from their nine home countries on five continents. The final APro instrument was validated on an independent sample of 79 participants resident in seven countries. In the validation set, human and machine scoring of same-test APro administrations correlated r = 0.98, suggesting accurate speech processing. APro scores predicted much of the score variance in traditional concurrent assessments from Oxford, r = 0.86, and Pearson, r = 0.92. Finally, we present detailed results on two new interactive tasks and share changes to the content, procedure, and scoring that yield improved accuracy at shorter duration. [Work supported in part by Google LLC.]
Rancang Bangun Pendeteksi Kertas Struk pada Mesin Anjungan Tunai Mandiri Berbasis Mikrokontroler

Proof of transaction printed by an Anjungan Tunai Mandiri (ATM) generally produces printed electronic information about the amount of money, account for the transaction, location, and transaction time. Article 5 paragraph (1) of Law no.11 of 2008 concerning electronic information and transactions ("UU ITE") Article 5 paragraph (1) of the ITE Law in full reads, "Electronic information and electronic documents and printouts are tools legal proof."In many cases, there is no notification of the amount of paper available; common events occur to customers after transactions at the ATM; proof of transfer or receipt needs to be printed because the paper supply at the ATM has run out. If this happens, the customer must go to the Bank office to print bank statements. This research aims to design a receipt paper detector on a microcontroller-based ATM. In concept, this tool can detect the availability of receipt paper in ATMs and provide notifications when the receipt paper runs out.
Sistem Informasi Operasional Apotek Berbasis Customer Relationship Management (CRM)

This study aims to 1) create an effective, efficient, and easy-to-use pharmacy operational system for pharmacy employees and consumers that can be accessed remotely. 2) Implementing a Pharmacy Operational Information System Based on Customer Relationship Management (CRM). The problem faced by the current system is that it is still using a desktop-based system which is difficult to access by management remotely if there is a need for monitoring drug data management. This data was obtained by conducting 1) field research by making observations at pharmacies 2) direct interviews with the pharmacy on behalf of Alwidah Lestari as an employee. The software development method used is the Scrum Method, this system is made using Xampp as a database storage medium and Sublime Text. The results of this study show that the Pharmacy Operational Information System Based on Customer Relationship Management (CRM) is attractive and User Friendly because it is easy to use, thus obtaining test results of 89.93% of 20 respondents with 26 questions by sending a questionnaire form for system assessment.
INOVASI DALAM MANAJEMEN KURIKULUM: PEMANFATAN TEKNOLOGI DALAM MENINGKATKAN PEMBELAJARAN

This research aims to analyze the concept of educational technology, the function of ICT in learning, technology-based learning models, and barriers to its implementation. The method used in this research is the library research method. The research results show that educational technology is the application of science to learning to achieve effectiveness and efficiency. Innovative learning using educational technology can help build student character, develop scientific thinking skills, and increase student literacy. Technology-based learning models for instant project-based learning (PjBL), flipped classrooms, and self-organized learning environments (SOLE). Obstacles to its implementation are physical and non-physical obstacles. It is hoped this research will be able to provide a clearer view regarding the use of technology in improving the quality of learning and can assist in decision-making and continuous improvement in the education system.
How Climate and Data Quality Impact Photovoltaic Performance Loss Rate Estimations

Different data pipelines and statistical methods are applied to photovoltaic (PV) performance datasets to quantify the performance loss rate (PLR). Since the real values of PLR are unknown, a variety of unvalidated values are reported. As such, the PV industry commonly assumes PLR based on statistically extracted ranges from the literature. However, the accuracy and uncertainty of PLR depend on several parameters including seasonality, local climatic conditions, and the response of a particular PV technology. In addition, the specific data pipeline and statistical method used affect the accuracy and uncertainty. To provide insights, a framework of (≈200 million) synthetic simulations of PV performance datasets using data from different climates is developed. Time series with known PLR and data quality are synthesized, and large parametric studies are conducted to examine the accuracy and uncertainty of different statistical approaches over the contiguous US, with an emphasis on the publicly available and “standardized” library, RdTools . In the results, it is confirmed that PLRs from RdTools are unbiased on average, but the accuracy and uncertainty of individual PLR estimates vary with climate zone, data quality, PV technology, and choice of analysis workflow. Best practices and improvement recommendations based on the findings of this study are provided.
Fully phase-image encryption and watermarking using structured phase masks

In optical cryptography, light beams are used because of inherent speed and parallel processing nature. This paper demonstrates a fully-phase image watermarking using structured phase masks in the fractional Fourier transform domain and discrete wavelet transform.