Reviewerly/exHarmony huggingface dataset:
The Quality of Competitive Information and Its Role in Achieving Organizational Excellence in the Palestinian Renewable-energy Companies

This study aims to show the role of the competitive-information quality in the Palestinian renewable-energy companies in achieving organizational excellence. This study used a questionnaire as a tool to collect information from the study sample which consists of 123 employees working at the Palestinian renewable-energy companies in the Gaza Strip. This study uses the comprehensive survey, putting all members of the study population as a sample under analysis. Moreover, the researchers relied on the descriptive analytical approach. The study reached that the content criterion is a higher criterion for the quality of competitive information in affecting organizational excellence than the temporal and formal criteria. The results reflected that the study population's perspective is that all of the competitive-information quality criteria are widely available at the Palestinian renewable-energy companies. The results also showed that the study population highly approved that the companies are seeking organizational excellence. The study recommended to find an information team within the Palestinian renewable-energy companies specialized in evaluating solar systems according to the criteria of competitive-information quality and its three dimensions (temporal, content and formal criteria). In other words, the higher the degrees of the criteria of quality of the competitive information, the higher the organizational excellence and vice versa.
The Influence of Word Embeddings on the Performance of Sentiment Classification

Word embeddings are widely used in natural language processing for mapping words into a numerical representation in vector space. Their quality can be influenced by a variety of factors such as training methods and corpus, which in turn impact machine learning performance. As a whole, larger corpora result in higher-quality word embeddings and improved classification accuracy when the training method is same and the corpus is different. However, the content of the corpus will also affect the classification performance. In this work, we study the relationship between several common word embeddings and sentiment classification models through a series of comparative experiments. Comparison results reveal that in addition to the training method and corpus size, the corpus content and dimensionality also play a significant role in determining the quality of word embeddings. Therefore, when dealing with specific tasks, it is necessary to comprehensively consider these factors, so as to obtain better results. This work provides an improved understanding of factors for consideration that may lead to more efficient sentiment classification.
Synthetic Data Generation for Biomedical Deep Learning: Methods, Challenges, and Opportunities

With the proliferation of deep learning (DL) techniques in biomedical applications, the need for large-scale and diverse datasets has become more and more apparent. However, obtaining labeled biomedical data is often challenging. Concerns such as patient privacy, data sharing issues, ethical questions, and the lack of data – either due to the bias towards patients aﬀected by an illness in medical examinations or due to the rarity of the investigated disease, can cause significant issues in the data collection process. In addition, manual annotation of collected data is time-intensive and requires trained personnel. One of the potential solutions discussed in the area of data science is the application of synthetically generated data, with the goal of creating artiﬁcial data points, based on previously collected data, which can aid in model training. A look into the existing synthetic data applications and generation methods, for both numeric and image data is provided by the authors. This paper explores the potential of synthetic data generation as a solution to this data scarcity, with the focus given on current state-of-the-art methods, standard approaches and challenges introduced by the application of the synthetic data in DL methodologies, and future opportunities in the ﬁeld.
The Impact of Strategic Thinking on Risk Management: The Moderating Role of Organizational Support at Omani Construction Companies

The aim of this study is to measure the impact of strategic thinking dimensions (strategic intent, systemic perception, deriving hypotheses, thinking in time and seizing opportunities) on risk management dimensions (risk identification, risk assessment, risk response and risk control) at Omani contracting companies. The study also aims to clarify the moderating role of organizational support in improving the impact of strategic thinking on risk management for these companies.&#x0D; The study population consisted of (205) Omani contracting companies. The comprehensive survey method was adopted, where (205) questionnaires were distributed, with (149) questionnaires valid for statistical analysis being retrieved. The study adopted the quantitative descriptive approach. Regression coefficient and hierarchical regression&#x0D; were used among other statistical methods to analyze the study data.&#x0D; The study results indicated high levels of strategic thinking, except for deriving hypotheses, as well as high levels of risk management. The levels of practicing organizational support varied between high and medium levels. The results also showed a significant impact of strategic thinking on risk management, in terms of seizing opportunities, systemic perception and deriving hypotheses, while this impact was not significant for strategic intent and thinking in time. In addition, the results indicated a moderating role for organizational support in improving the impact of strategic thinking on risk management.&#x0D; In light of the results, the researchers recommended the managements of Omani contracting companies, in order to raise the levels of strategic thinking, risk management and organizational support and achieve a balance between them, to work on developing the directors’ capacities to look ahead, encourage directors to prepare scenarios and assumptions, use advanced risk control systems and establish a reward system in line with the contributions made by employees.
Podcast-Mediated Students Learning English in the Second Grade of Senior High School

Podcasts are one of the well-liked technological advancements to aid language acquisition. Podcasts, which are digital recordings, can be utilized to help students acquire the English language, particularly in speaking and skills. The reconducted was skilled at SMAN to know how to teach speaking and listening skills in high school using podcast media. Researchers used qualitative methods with observation and interview approaches and an interactive model for data analysis. The study results are (1) podcasts are a solution to students' difficulties in learning English as a medium for utilizing technology, (2) podcasts as a medium for learning speaking and listening skills, (3) podcasts can increase student motivation in learning English. So, this researcher draws the conclusion that Podcasts are one of the choices of English learning aids that also allow teachers to use technology in the classroom. It is important to highlight that the aim is not to replace podcasts as a substitute for live teaching. Therefore, it is recommended that when using podcasts, teachers should instruct their students well to maximize their effectiveness.
Development of Picture Story Book Learning Media to Increase Elementary School Students' Interest in Reading English

This study aimed to develop a picture storybook learning media to increase interest in reading English for elementary school students in grade 5 SDN Pekanbaru Riau. This study uses research and development methods (Research and Development). This research will produce learning tools in the form of learning media, which will be tested for validity and practicality. The steps in developing picture storybooks for learning to read follow the 4-D model (Define, Design, Development, Disseminate). The test subjects in this research and development were class V students at SDN Pekanbaru Riau. This research and development trial was conducted on a small group of 5 students. The type of data taken in this research is qualitative and quantitative data. At the product validation stage, the data obtained is qualitative in the form of responses and comments from student interviews after using the media, as well as input, criticism, and suggestions from validators and teachers in improving picture storybooks. Furthermore, quantitative data is obtained from statements in providing assessments of media products during validation by media, material, and language validators, and teacher response questionnaire assessments. After the data is obtained, the next step is to analyze the data. The data that will be obtained in this research is quantitative and qualitative. Quantitative data was obtained from media, material and language validation sheets, and teacher response questionnaires. Furthermore, qualitative data was obtained from student interviews and input from validators and teachers. Responses, suggestions, and validator input are considered and analyzed to improve the product. The results of this research are the result of expert validation of picture storybook learning media material of 81%. They are included in the 80-100% interval so that they are included in the high category and are very suitable for use. The results of this study are the results of expert validation of picture storybook learning media material as much as 81 % and belonging to the 80-100% interval so that it is included in the high category and is very feasible to use. The results of the validation from media experts on the development of picture storybook learning media to increase interest in reading for grade 5 SDN students are in the high category with the eligibility of 78% from 3 aspects. The validated aspects included the suitability of the presentation with the demands of student-centered learning, the way of presentation, readability, and communicativeness. The suitability of the presentation with the demands of student-centered learning has a feasibility of 68%, which is in the high category.
Development of Interactive Video Media to Improve Students' Speaking Skills

This study intends to identify the requirements of students and teachers for enhancing speaking skills and validate the use of interactive video in the classroom. This study used the ADDIE model's research and development (R&amp;D) methodology: analysis, design, development, implementation, and evaluation. Thus, it validated the teacher's material requirements and analyzed the students' needs. This study includes three English instructors and 18 secondary school students from MTS Miftahul Ulum Lumajang. Observation of classes, interviews, and questionnaires were utilized to collect data for this study. However, an interview revealed that the teacher frequently encountered difficulties devising English material for the junior high school class, particularly for the eighth grade, due to students' asking and expressing opinions. This study revealed, through a questionnaire, that the majority of teachers (66.7%) had difficulty enhancing students' speaking abilities by asking and giving opinions. This study revealed that the majority of students (72.2%) struggle to develop their speaking skills through asking and responding. Therefore, interactive video must be utilized. This study has provided the majority of teachers with a positive perspective on the effectiveness of interactive videos in enhancing speaking proficiency.
An Analysis of Factors that Affectefl Students’ Writing Skill

Writing skills are a specific perspective that allows writers to put their thoughts into words. Students mentally connect with words and messages through writing skills. Writing, on the other hand, is a difficult skill to master. It requires the ability to combine words and sentences. The researcher used qualitative research. Qualitative research methods focus on in-depth understanding, interpretation, and disclosure of the meaning of the data collected. The type of research used by the researcher is a case study. A case study is used because the researcher can understand the context, process, and complexity of the phenomenon under study. This type of research allows the researcher to explore perspectives, experiences, and meanings in the data collected related to An Analysis of Factors that Affectefl Studentsaffect students research results can provide deep, contextual, and detailed insights into the case under study, which can be used to inform policies, practices, or further theoretical development. The subjects in this study are English Education Students at a University in Jakarta, Indonesia. Based on the findings and discussion, it can be concluded that students who are less motivated, less confident, and do not want to practice writing are due to several interrelated factors. These factors are a misunderstanding of writing, lack of experience, and negative self-perception. Misunderstanding writing can make students feel that writing is difficult and boring. Lack of experience can lead students not to have the skills they need to write well. Negative self-perception can lead students to feel that they are not good writers and will never be able to improve their skills. Therefore, to improve students' motivation, confidence, and interest in writing, efforts must be made to address these factors. Teachers and students must collaborate to develop effective and efficient writing learning strategies.
Key-Range Attribute-Based Signatures for Range of Inner Product and Its Applications

In attribute-based signatures (ABS) for range of inner product (ARIP), recently proposed by Ishizaka and Fukushima at ICISC 2022, a secret-key labeled with an n-dimensional vector $$\textbf{x}\in \mathbb {Z}_p^n$$ for a prime p can be used to sign a message under an n-dimensional vector $$\textbf{y}\in \mathbb {Z}_p^n$$ and a range $$[L,R]=\{L,L+1,\cdots ,R-1,R\}$$ with $$L,R\in \mathbb {Z}_p$$ iff their inner product is within the range, i.e., $$\langle \textbf{x}, \textbf{y} \rangle \in [L,R]\pmod p$$ . We consider its key-range version, named key-range ARIP (KARIP), where the range [L, R] is associated with a secret-key but not with a signature. We propose three generic KARIP constructions based on linearly homomorphic signatures and non-interactive witness-indistinguishable proof, which lead to concrete KARIP instantiations secure under standard assumptions with different features in terms of efficiency. We also show that KARIP has various applications, e.g., key-range ABS for range evaluation of polynomials/weighted averages/Hamming distance/Euclidean distance, key-range time-specific signatures, and key-range ABS for hyperellipsoid predicates.
Model Training

This chapter will introduce the common models used in algorithm competitions. Good models can help us approach the upper limit of scores. The optional models are mainly divided into three types: linear models, tree models, and neural networks. There is a saying that there is no best model, but only the most suitable model, so in this chapter, we will illustrate the application scenarios suitable for their corresponding models and give the using skills and application codes.
Case Study: TalkingData AdTracking Fraud Detection Challenge

This chapter centers on the typical anti click fraud competition question of a contest held on the Kaggle competition platform in 2018, i.e., TalkingData AdTracking Fraud Detection Challenge (as shown in Fig. 14.1), which will also be used as the second practical case for issues related to computational advertising. The main content includes competition question understanding, data exploration, feature engineering, model training, and competition question summary. In fact, when selecting the competition question to be analyzed, the joint authors discussed many times, because the advertising field not only involved a lot of core technologies, but also had a variety of competition questions available for discussion. In the end, we took data quality, knowledge points that can be covered, and the popularity of competition questions as the main criteria for selection and finally decided to choose this competition question.
Effectiveness of Discovery Learning Approaches integrated with Task Group Guidance to Increase Student Confidence in Guidance and Counseling

This study aims to find out and prove the use of the Discovery Learning approach through group guidance services to increase self-confidence. The hypothesis proposed in this study is that there is a change or increase in students' confidence after being given the treatment of group guidance services using discovery learning approaches in task topic group guidance services. This study uses quantitative methods. This type of research is pre-experiment, using the one group pretest posttest design. Selection of subjects using purposive sampling method. The number of research subjects was ten people with low self-confidence categories. This research was carried out in the guidance and counseling study program, the instrument used was the scale of confidence with a Likert scale model. Data were analyzed using nonparametric statistical techniques that used the Wilcoxon Signed Ranks Test. The results showed that the pretest score was 77.5 and posttest 101.8. Then to test the hypothesis obtained Asymp results. Sig. (2-tailed) 0.005 less than 0.005, thus Ho can be interpreted rejected and Ha accepted, it was concluded that there was a change or an increase in students' self-confidence after being given the treatment of group guidance services using the discovery learning approach. Keywords: group guidance, discovery learning, self-confidence. DOI: http://dx.doi.org/10.61436/bsscd/v1i1.pp01-09
Sistem Informasi Inventori Puskesmas Berbasis Web (Studi Kasus : Puskesmas Simpang Baru)

The current application of technology in the field of inventory can simplify all tasks, especially processing inventory datawhich requires speed, accuracy and data validity. Inventory Information System is a system that provides inventory reportinformation in the form of a transaction history of incoming or outgoing goods, thus helping to process large inventorydata quickly, precisely and efficiently. The problems that occur in processing patient inventory data at the Simpang BaruCommunity Health Center are currently still manual, namely using Microsoft Excel, where the incoming and outgoinggoods data are stored in Excel, after inputting a lot of data, then the next step is to print the inventory report. The items tobe printed must first be created with existing tables, so users have to search for data by scrolling up and down so that it is difficult to find a lot of data and check one by one existing data so it takes a lot of time. The information system at theSimpang Baru Community Health Center in Pekanbaru City was designed with an analysis technique and a descriptiveObject Oriented Analysis Design (OOAD) method. This information system is designed using PHP and MySQL which isused as a solution to solving problems in processing inventory data at the health center. It is hoped that this informationsystem will be more organized and can simplify working methods, increase work efficiency, assist in storing data, andspeed up the transaction process of health center goods.
Rancang Bangun Sistem Inventaris Fasilitas Kantor Dinas Tenaga Kerja Dan Transmigrasi Provinsi Riau

Inventory is a registration record of office-owned items used in carrying out tasks. Inventory is an activity to carry out themanagement, administration, regulation, recording and registration of inventory items or property rights. The problems in inventory management that occur in this agency are that it takes a long time to find data on the facilities of the desireditem, the resulting report is unsatisfactory, and errors often occur in data input. Therefore, to solve some of the problemsthat occur, an office facility inventory management information system is needed, which can make it easier to input data,easy to search for data and also produce good and accurate reports. The analysis and design stages of this system use the Object Oriented Analysis Design (OOAD) technique, the system development method uses the waterfall method and the system design uses the Unified Modeling Language (UML) diagram. The final result of this practical work is in the form of an information system that can provide facilities for agencies in the process of managing inventory data so that it makes it easier for agencies to manage inventory data for the offices of the Riau Province Manpower and Transmigration Office.
Rancang Bangun Sistem Informasi Inventory Untuk Mengontrol Persediaan Pada PT.Gotrans Logistics International

Inventory system is a system for managing inventory in the warehouse. Inventory system is now widely used by companies developing in general. Especially in terms of data management stuff. PT.Gotrans Logistics company engaged in delivery in the province of Riau where the activity of good and effective performance must be maintained and improved. Like managing, search, entry and exit flow of goodsand report the data items when it’s needed. Based on these problems, the company has a desire to better utilize information technology through the development of an inventory system, because the system of data management activities good in storage at this time have not felt up by the company. This inventory system using metode Waterfall. UML (Unified Modeling Language) as a data flow model. PHP programming language, and database MySQL. The system is built with the concept of user friendly, so the system is made with an easy to understand interface and made attractive.
Layered Decoding of Quantum LDPC Codes

We address the problem of doing message passing based decoding of quantum LDPC codes under hardware latency limitations. We propose a novel way to do layered decoding that suits quantum constraints and outperforms flooded scheduling, the usual scheduling on parallel architectures. A generic construction is given to construct layers of hypergraph product codes. In the process, we introduce two new notions, t-covering layers which is a generalization of the usual layer decomposition, and a modified scheduling called random order scheduling. Numerical simulations show that the random ordering is of independent interest as it helps relieve the high error floor typical of message passing decoders on quantum codes for both layered and serial decoding without the need of post-processing.
Robust Motion Control for Aerial Robotic Systems in Monitoring Applications

Mobile robots usage have allowed a properly performance of complex tasks in various fields without human intervention. Unmanned aerial robots have been successfully used in monitoring applications within indoor and outdoor scenarios. The main contribution of this research is to introduce a novel robust neural sliding-mode control for a four-rotor aerial robot in monitoring tasks. To verify the effectiveness of the proposed motion control scheme, it is considered a simulation scenario where the vehicle is subjected to unknown disturbances while the robot is flying towards different operation points, as required in real-time monitoring applications. Bézier polynomials are suitably integrated in the motion control scheme to smooth the system motion. Additional case study is also included where B-spline artificial neural networks are efficiently introduced for improving the system performance while maintaining its stability despite random undesired abrupt position changes due to the induced forces by wind. Finally, to highlight the effectiveness of the introduced controller, the vehicle is simulated in a virtual scenario where a rapidly exploring random tree (RRT) algorithm is implemented for determining the best path in a constrained space. This preliminary results effectively promote the development of cyber-physical systems for monitoring application management, as required in the electric power systems.