Reviewerly/exHarmony huggingface dataset:
Alternative Execution Priority Rules in Dark Pools

We examine the effects on market quality of alternative execution priority rules in dark pools. A size execution priority rule in the dark pool improves (reduces) welfare and liquidity (picking-off risk) for the whole lit-dark market, relative to a time execution priority rule. Interestingly, large traders do not always prefer the dark pool to the lit market, even when dark orders follow a size execution priority. Rather, their submission strategies depend mainly on the endogenous liquidity of each venue, with dark volume having a humped shape as a function of volatility.
SEKSUALITAS TIGA TOKOH PEREMPUAN DALAM NOVEL SUNYI DI DADA SUMIRAH KARYA ARTIE AHMAD DAN IMPLIKASINYA PADA PEMBELAJARAN SASTRA DI SMA

This study aims to describe sexuality regarding various dimensions, namely (1) biological dimensions, (2) social dimensions, (3) psychological dimensions, and (4) cultural dimensions, in Sunyi, Sumirah, and Suntini characters, in Sunyi di Dada. Sumirah by Artie Ahmad, and the objectives (5) its implications for learning literature in high school.&#x0D; This study uses a feminist literary criticism approach and qualitative research types. Based on the results of data analysis, the four dimensions of sexuality are found in the novel Sunyi di Dada Sumirah by Artie Ahmad. Research findings: The most dominant data is the dimension of sexuality regarding the biological dimension because in the novel Sunyi di Dada Sumirah tells a lot about the sexual urges of the three characters, namely Sunyi, Sumirah, and Suntini.&#x0D; The results of this study have implications for literature learning in class XI high school with basic competencies (3.20). Analyzing the messages of the two fiction books (novels and poetry collection books) that are read, namely as teaching materials. The four dimensions of sexuality in the novel Sunyi di Dada Sumirah can be used as teaching materials in Indonesian language learning materials, as the material for analyzing moral messages in the novel. There are many life problems faced by Sunyi, Sumirah, and Suntini characters in living their lives, but they are people who never give up, even though their lives are not very pleasant, so from these stories students can take lessons to be better able to protect themselves in their lives. association, environment and people around, so that students are able to have principles so that they are not easily influenced by things that are not good for themselves.
GERAKAN LITERASI PADA PEMBELAJARAN BAHASA INDONESIA SMP DI PALANGKA RAYA

This research specifically is (1) to determine the role of literacy in learning Indonesian at SMP in Palangka Raya, (2) to determine the function of literacy in learning Indonesian at SMP in Palangka Raya, (3) to determine the application of literacy movements in learning Indonesian at SMP in Palangka Raya.&#x0D; This type of research uses a qualitative descriptive approach. The object of research is the distribution of questionnaires (questionnaires) filled with 120 students at SMP Palangka Raya and Indonesian language teachers at SMP Palangka Raya. The questionnaire was analyzed, the focus of the analysis was the application of the school literacy movement.&#x0D; Based on the results of the study it can be concluded that (1) The role of the literacy movement in learning Indonesian at SMP in Palangka Raya can be categorized as very good with the highest percentage of students, namely 83% and the percentage of teachers 85% with very good percentage, (2) The function of literacy movements in learning Indonesian SMP in Palangka Raya can be categorized as good with the highest percentage of students, namely 78% and the percentage of teachers 100% in the very good category, (3) The application of the literacy movement in learning Indonesian at SMP in Palangka Raya can be categorized as good the highest in students is 87% and the percentage of teachers is 100% in the very good category.
Motor Parametric Calculations for Robot Locomotion

Motor selection is an important step in designing a mobile robot since it governs the payload capacity of the robot. In this paper, a method is presented for the calculation of motor parameters when the robot payload is known and the motor is to be selected. The article also deals with the case when a motor is available and its corresponding payload is to be calculated. A motor load profile with varying speeds is presented to plot its change in torque and mechanical power. This method is employed for the motor selection calculations of a heavyweight mobile robot using a MATLAB graphical user interface.
The Impact of Knowledge Management Processes on Service Innovation in International Airports in the Kingdom of Saudi Arabia

Purpose: The purpose of this study is to examine the impact of knowledge management processes on service innovation in international airports in the Kingdom of Saudi Arabia. Approach: The study applied a quantitative method to collect data via a questionnaire. A total number of 1493 questionnaires were distributed by two methods: 785 were paper copies and 708 online google forms. Out of 708 electronic questionnaires, only 85 were returned, while out of 785 paper-based questionnaires, 230 were collected. Results: The results showed that knowledge management processes (creating, sharing, and application) have a positive and significant impact on service innovation. Also, results showed that knowledge management processes (creating, sharing, and application) have a positive and significant impact on organizational creativity. Furthermore, organizational creativity acts partly as a mediator between knowledge management creation and service innovation. The results support the main role of knowledge management processes as a catalyst of knowledge-based innovation in Saudi international airports. Recommendations: Finally, the research recommends conducting such a study on airports in other countries in the GCC. Moreover, the study recommends building the capacity of human capital and to motivate employees to enhance organizational creativity in the airport sector. Originality: Developing and testing a new model that links knowledge management processes and organizational creativity with services in the GCC context.
Digital readiness of VET schools

The notion of digital readiness has been attracting more attention in the area of education. It has been caused by the recent shift in educational practices caused by the COVID-19 pandemic. The paper aims to define and investigate the digital readiness of VET schools for digitising teaching, distinguishing areas which need to be supported with additional tools and methodology in the future. To this end, a current situation regarding problems encountered at selected secondary vocational schools was analysed. The paper summarises a study carried out among secondary school teachers in five countries, probing their attitudes and gathering their experiences. It looks into both the technicalities of the educational process (e.g. quality of hardware, reliability of the Internet connection, access to educational software) and the skills involved (e.g. using educational software, the ability to access and adapt online / digital resources, the capacity to introduce new pedagogies and strategies or adapt existing ones). It appeared that the problem areas identified in the process of the study were country depended. However, the most frequently mentioned problems, such as lack of tools that motivate and autonomise students or issues with the hardware and broadband, were shared by teachers from the majority of the partner countries.
La modalità e le frasi interrogative

Modality and Interrogative Sentences The article deals with the modal scheme of the interrogative sentence in Italian. For this purpose, the inflectional verbal mood in Italian is observed with the aim to describe the way in which it operates along with non-grammatical means in the act of indication of different illocutionary act and various modal meaning of the deontic and epistemic modality that may be associated with this sentence type. For this purpose the verbal mood is viewed within the modal scheme of a particular sentence type and as the modal centre of a type of utterance that may function as several illocutionary acts. Both direct and indirect speech acts are taken into consideration.
La traduzione di poesia: una sfida in fieri. Studio di caso: In morte del fratello Giovanni, una proposta di traduzione in spagnolo

The Translation of Poetry: A Challenge in Progress. Case Study: In the Death of His Brother Giovanni (In morte del fratello Giovanni). A Proposal for Translation into Spanish Speaking and writing about translation appears to be a fashionable topic not only because of the heated debates it generates, but also because of its origins. However, talking about the translation of poetry becomes almost a quixotic task. What apparently appears to be a simple change of linguistic code entails, in reality, a transposition that brings together the Weltaschauung that underlies the text. We have chosen for our case study one of the best known and studied sonnets by the Italian poet Ugo Foscolo: In morte del fratello Giovanni. In the philological analysis and the translatological results we have laid the foundations for a modern Spanish translation that tries to preserve the form and rhyme of the original text.
Gambaran Motivasi Belajar Daring pada Siswa Kelas III-VI Selama Masa Pandemi Covid-19 di SDN 043944 Juhar Kabupaten Karo Tahun 2022

Background : Online learning motivation is a supporting factor that makes someone willing and happy to mobilize all the skills and abilities they have to carry out activities that are their obligations to achieve the desired goals. The importance of learning motivation for elementary school children is so that students remain motivated to continue their education. Students' learning motivation will increase if the support from internal factors from the students themselves such as intelligence, talent, maturity, readiness, and willingness from within themselves, and external factors also have a considerable influence such as learning facilities, teacher abilities, peer influence, as well as parental support.Method : the type of research used is descriptive research. The study was carried out starting on May 4, 2022 a sample of 35 respondents using random sampling technique.Results : Based on the research, it is found that the online learning motivation of grade III-VI students during the covid-19 pandemic at SDN 043944 Juhar Karo Regency in 2022 is in the very high category, namely 30 respondents (85.7%) and 5 respondents (14.3%) who have high motivation.Conclusion : students' and education staff's learning motivation is to maintain student learning motivation.
PENERAPAN GANZE METHOD (METODE GLOBAL) DALAM MENINGKATKAN KUALITAS MEMBACA SISWA DI SEKOLAH DASAR NEGERI 8 BANYUASIN II DESA MUARA SUNGSANG

This study aims to 1). Knowing how to apply the Ganze Method (global method) in class II SD Negeri 8 Banyuasin II Muara Sungsang Village 2). Knowing how the reading quality of students before the Ganze Method (global method) was applied in class II SD Negeri 8 Banyuasin II Muara Sungsang Village 3). Knowing how significant the application of the Ganze Method (global method) is in improving the reading quality of students in grade II SD Negeri 8 Banyuasin II Muara Sungsang Village.The type of research used in this research is experimental research using a Posttest-Only Control Design. This study uses a quantitative approach. Furthermore, the data collection method used is the method of observation, interviews, documentation, and tests. And the data analysis technique used the t-test.The results of this study are 1). The experimental class showed that after the Ganze Method (global method) was applied in improving the reading quality of students, the results showed that there were 3 students or (19%) in the high category, 11 students (69%) in the medium category, and 2 students or (12 %) with low category. 2). From the results of the reading scores of students in the control class who did not apply the Ganze Method (global method) in improving the reading quality students, the results showed that there were 2 students or as many as (12.5%) classified as high, 12 students or (75%) classified as moderate, and 2 students or as many as (12.5%) is low. 3). There is a significant difference between the reading quality of the experimental class students who apply the Ganze Method (Global Method) and the control class that does not apply the Ganze Method (Global Method) with the results of the t-test hypothesis: (t0 = 13.61) and the size of "t" listed in the table the value of "t" (tt.ts.5% = 2.14 and tt.ts.1% = 2.97). Because t0 is greater than tt, namely 2.14 &lt;13.61&gt; 2.97, the proposed null hypothesis is rejected, and the alternative hypothesis is accepted. This means that there is a significant influence between the Ganze Method (Global Method) in improving the reading quality of grade II students at SD Negeri 8 Banyuasin II, Muara Sungsang Village.
Early Breast Lump Detection Using the Intelligent Bra "IN-bra"

This paper proposes a new smart Bra concept to detect any potential strange lumps in women's breasts by ultrasounds waves.These suspicious lumps can be a cyst, Abscess, Fibroadenoma, or Tumor.This system consists of 18 transducers positioned in a specific way, distributed on a ring, with a 5 MHz central frequency while respecting the anatomy of the breasts.We aim to minimize the main lobe's beamwidth (BW) and maximize the radiation field along the side lobes (SLL) of the transducer, with this wide lateral diffraction caused by the piezoelectric, we can detect any strange corps in the breast.Our hypothesis was confirmed by the correlation coefficient formula, where two signals are compared according to their spatial resemblance potentially.According to our findings, there are no suspicious lumps in the breast, while the correlation coefficient is as high as 0.2.
The Power of Language: Conceptualizing the Phenomenon of Leadership via the Art of Communication

This research aims to conceptualize the phenomenon of leadership through the power of language. Effective language use leads to effective communication, which is quintessential in leadership practice. This paper views any person able to obtain followers or audience as a leader, regardless of the pertinent realm or domain. It is worth noting that the terms “audience” and “followers” are used interchangeably herein. This research adopts the communicative power of language while linking its significance to a non- specific domain leadership. Moreover, this study provides a combination of Howard Gardner’s and John C. Maxwell’s perspectives on leadership while highlighting the connection between effective language use and leadership communication through influence, socialization and change.
Offset Boosting Regulated Multistablity

Offset boosting shows its strong power for producing coexisting attractors with the same or different shapes. In this chapter, Hindmarsh-Rose neural model is applied for various regimes of offset-induced multistability. Firstly the concept of offset boosting is clearly reviewed. And second, various functions are discussed for embedding offset boosting and therefore various regimes of multistability are explored due to the modulation of nonlinear offset boosting. Finally, a general approach is mentioned for managing coexisting attractors.
High-order discretization of backward anisotropic diffusion and application to image processing

Anisotropic diffusion is a well recognized tool in digital image processing, including edge detection and focusing. We present here a particular nonlinear time-dependent operator together with an appropriate high-order discretization for the space variable. In just a single step, the procedure emphasizes the contour lines encircling the objects, paving the way to accurate reconstructions at a very low cost. One of the main features of such an approach is the possibility of relying on a rather large set of invariant discontinuous images, whose edges can be determined without introducing any approximation.
Time Spent on the Internet as a Factor in Cyberbullying in Social Media

Malaysia ranked 9th among the countries with the most active social media users worldwide, which comprise 80% of its total population.The extensive use of social media platforms eventually leads to ethical and moral violations in the form of cyberbullying.This activity is becoming more prevalent among netizens by making fun of an individual as a joke to attract attention and fun on social media.The government established the Communications and Multimedia Act of 1998 to monitor misdemeanors in the digital world, mainly social media.This study aims to analyze the duration of time spent on the internet as a factor in cyberbullying.The study quantitatively used a survey design.A set of questionnaires was distributed to 436 respondents in Melaka and later analyzed through SPSS software.The findings of the study reveal a significant difference in the mean score of the effect of cyberbullying based on the time spent surfing the internet ((f = 8.857); (p <0.05) for each category.
Rewriting Privacy

This invited paper extends on the invited talk of the same title held at WRLA 2022. It highlights, summarizes and connects the research works on $$(\alpha , \beta )$$ -privacy, an approach to the verification of privacy properties of security protocols. While the de-facto standard is to express privacy as the trace equivalence of two processes, $$(\alpha , \beta )$$ -privacy goes a radically different way to formulate privacy a reachability problem, where every state is characterized by two formulae $$\alpha $$ and $$\beta $$ . $$\alpha $$ formalizes all the information that has been deliberately given to the intruder. $$\beta $$ formalizes what the intruder actually has found out by observing messages, interacting with other agents, and the knowledge of the protocol. $$(\alpha , \beta )$$ -privacy means that in no reachable state $$\beta $$ allows to derive more than $$\alpha $$ . We describe research papers that define $$(\alpha , \beta )$$ -privacy for a fixed state; the application to vote secrecy and receipt-freeness; and finally a rewriting-based definition of $$(\alpha , \beta )$$ -privacy for a distributed system.
Evaluation of Different Paradigms of Machine Learning Classification for Detection of Breast Carcinoma

In women, Breast Cancer (BC) is a common problem worldwide, and it is usually diagnosed at the last stages. BC is considered the main reason for death in women in all developed and underdeveloped countries. Therefore, its early detection and diagnosis are required, which will help to predict the disease in the early state. As a result, it will increase the treatment efficiency. To solve the BC problem Machine Learning (ML) techniques are used because it provides high classification accuracy. This paper presents a comparison between different paradigms of Machine Learning algorithms. In this paper, these algorithms are implemented to classify Wisconsin Breast Cancer Dataset (WBCD) as benign and malignant. The result shows that Random Forest (RF) algorithm provides good accuracy of 99.1% with the least computation time of 0.829 s. This helps the medical practitioners to obtain a more accurate detection of cancerous cells with least computational complexity and hardware requirement.
A Survey on Deep Learning Techniques for Anomaly Detection in Human Activity Recognition

Continuous monitoring of health in elderly case has gained more importance nowadays to estimate the medical emergency remotely. Wearable sensors devices like smart watches etc. are used for this purpose. Wearable sensor devices give a human-friendly environment for extracting physiological signals data used for estimation of a current situation. Human activity recognition (HAR) is a famous application of the wearable sensor devices (Towards automatic feature extraction for activity recognition from wearable sensors: a deep learning approach. 2017 IEEE 17th International Conference on Data Mining Workshops.(ICDMW). IEEE, 693–702). Rapid growth in use of sensors in application of HAR is influenced by the many challenges. Challenges like feature extraction, annotation scarcity, class imbalance are some of challenges in HAR. Using no of sensors in human body may cause the domination, one signal by another strong signal leads to wrong identification of activity or malfunction of sensor is not identified which fails in estimation of medical emergency. Deep learning methods have gained importance because of various methods to address the challenges in HAR. For HAR sensor-based data many open source datasets are available like WISDM, UCI-HAR. Deep learning has emerged many advanced techniques to identify the anomaly in sensor signal as well as identification of current health condition of patient with suitable architecture. This paper contains an overview of different machine learning-based algorithms for human activity recognition applications. Data sets from open source are taken for consideration for activities like walking, running, climb up, down and sub activities are also determined for generalization of results. Various Deep learning methods for HAR challenge addressing are summarized with merits and demerits, generalization of activities to give overview of current situation( HAR-Net: Fusing Deep Representation and Hand- Crafted Features for Human Activity Recognition. In International Conference On Signal And Information Processing,Networking And Computers. Springer, 32–40). This paper brief knowledge on the commonly used DLL techniques and algorithms for fault diagnosis also covered. In this paper we propose an improved DLL architecture with top performing technique for future purpose.
Privatization Impact on Economic Growth in Ethiopia: ARDL Approach

The objective of this paper is as to check whether privatization has long run or short run significant impact on economic growth of Ethiopia by considering real GDP growth as a proxy for economic growth and privatization proceeds as to the measure of the magnitude of privatization. A time series data starting form 1994/95S1 up to 2016/17S2 using some explanatory and response variables. Autoregressive Distributed Lag (ARDL) method to characterize long run and the short run relationship between real GDP growth and independent variables was used. The empirical results reveal that both privatization and foreign direct investment due to privatization are found to have a positive impact on economic growth and statically significant at 1 &amp; 5 percent respectively in the long run as well as in the short run. While, inflation and government consumption proxy to corruption affects economic growth negatively in the long run. The unexpected result of private domestic investment had a negative sing and insignificant in the long run. This study has an important policy implication. The findings of this study imply that economic growth can be improved significantly when the privatization police accompanied with other structural change was implemented. Hence policy makers and /or the government should strive to strengthen privatization policies together with other policies. In addition to this effort, there should be a close monitoring and consistent government consumption and budget monitoring strategies, which is used to avoid misallocation and mismanagement of consumption. Keywords: Ethiopia, Privatization, Economic Growth, Co-integration. ARDL DOI : 10.7176/EJBM/11-4-03