Reviewerly/exHarmony huggingface dataset:
Modern University Academy System: A Useful Exploration of Promoting the Cultivation of Innovative Abilities of College Students

The report of the 20th Party Congress puts forward new requirements for the quality of talent cultivation, pointing out that colleges and universities should play the role of the main position in cultivating talents, comprehensively improve the quality of independent cultivation of talents, make efforts to create top-notch innovative talents, and gather all the world's talents and use them. However, under the traditional nurturing mode, the innovation ability training of college students in China still exists problems such as weak innovation consciousness, weak innovation knowledge, rigid innovation thinking, and lack of innovation skills, etc. In recent years, some colleges and universities have carried out the reform of academy system to innovate the talent cultivation mode, organizing students of different faculties and departments with different majors, establishing learning and living communities with teacher-student and student-student interactions, implementing general education and tutor system, and emphasizing student-oriented and all-around development, which has a positive impact on stimulating students' innovative consciousness, enriching students' innovative knowledge, enlightening students' innovative thinking, and improving students' innovative skills, and it is a useful exploration for enhancing the innovation ability of college students in higher education.
The Introduction of Interior Design and Architecture into the Metaverse and Their Interrelation to the Reality-Enhancing Technologies

The paper aimed to shed light on the digital built environment in the metaverse. Accordingly, the term “metaverse” was defined in a way that the reader would accept. Furthermore, interior design and architectural problems in Virtual Reality were highlighted to have some developments in the future, making architects and interior designers the primary constructors of Virtual Reality and giving them the leading role of enhancing the digital built environment. Moreover, the Researcher showed how the metaverse changed the nature of architecture and interior design’s workflow. Finally, the Researcher focused on the reality-enhancing technologies that would benefit customers in their experience in the virtual world.
The Correlation Between Reading Fluency and Students' Reading Comprehension in Junior High School

Reading comprehension is the ability to comprehend the text. One of the factors that may affect it is reading fluency. Readers who can identify the words accurately and automatically may help to focus most of their attention on reading comprehension. Therefore, this study investigated the correlation between reading fluency and students’ reading comprehension. This research used 64 7th-grade students as participants. Two instruments were used; a reading fluency test (CBM) and a reading comprehension test. This study showed 41 students were categorized as high risk (64%) in reading fluency. In reading comprehension, 27 students scored 56 – 70 (M = 60.0781), meaning that most students’ reading comprehension skills were moderate. Then, the result of Pearson Product Moment showed that there is no relationship between reading fluency and students’ reading comprehension at the Junior High School level (p–value = 0.102) since students are still trying to improve their reading skills. Then, students may feel anxiety about doing oral performance.
Pengaruh Pemanfaatan Program Indonesia Pintar (PIP) Terhadap Motivasi Belajar Siswa

The purpose of this study is to determine the influence of the implementation of the Indonesia Pintar Program on students’ learning motivation at SMP Negeri 8 Paguyaman, Boalemo Regency. This research adopted a quatitative approach using the Assosiative research method. The data used were primary data obtained from distributing questinnaires to students in Grade VII, VIII, and IX at SMP Negeri 8 Paguyaman, Boalemo Regency. The sample size in this research was 56 respondents. The data analysis technique used was simple linear regression. The research results indicated that the implementation of the Indonesia Pintar Program has a positive and significant influence on students’ learning motivation at SMP Negeri 8 Paguyaman, Boalemo Regency.
Implementation of Smart Corn Planter (SCP) to Support Food Security in Agricultural Area Gondosuli Village Probolinggo Regency

Gondosuli Village is located in Pakuniran, Probolinggo, East Java, and has an area of 11.66 km² (4.50 sq mi), consisting of agricultural land, settlements, public facilities, and mountain forests beneath Mount Rengganis. crops in Gondosuli village are dominated by rice and corn during the rainy season, and tobacco during the dry season. Corn has an important role as a commercial commodity in this village because it is used as animal feed, industrial raw materials, and also as a food ingredient. The process of planting seeds in Gondosuli village itself is still classified as using the traditional method where only using wood as a seed hole maker, and the seeds are inputted by human labor, and the distance between the seeds is only estimated by the farmer, in this way the seed planting process requires a lot of effort and time. big. A push corn planting tool or Smart corn planter is a tool used to grow corn efficiently and effectively on agricultural land. By using the Smart corn planter, farmers can grow corn quickly and more easily, and save effort and time. In addition, this tool can also help produce regular and even corn crops.&#x0D; Keywords: Smart Corn Planter (SCP), Gondosuli Village, Support Food Security
Teachers' digital competence for ICT skills in the 21st century: an assessment of their development

Currently, the role of the teacher in education and its relationship with technological, information, and communication competencies is the subject of much attention in educational contexts. Thus, the objective of this study was to describe the results of concurrent mixed research, which evaluated the digital aptitude of teachers concerning ICT skills from a theoretical perspective established by UNESCO and the MEN. Therefore, the study was conducted with the participation of teachers of the Faculty of Economics and Administrative Sciences of the University of La Guajira, Colombia, to know how they assumed their professional development concerning the technological competencies of the XXI century. The study identifies a very moderate use of active strategies and didactics supported by ICT. Likewise, limitations are found in the classrooms regarding technological infrastructure and connectivity, which hinder the integration of ICTs in the academic and student environment.
Breast Tumor Classification With Attention Model Enhancement Network

Breast tumor classification remains challenging due to its inter-class ambiguity and intra-class variability. Existing deep learning-based methods typically adopt convolutional neural networks and complex nonlinear projections to extract global features from entire images. However, they usually neglect some local features that may be crucial in improving classification accuracy. To this end, we propose a novel breast tumor classification method, named Attention Model Enhancement Network (AMEN), which is formulated in a multi-branch iterative fashion. In each branch, we design the flexible and adaptive attention mechanism for generating pixel-wise weights; thereafter, the inputs in the next branch are enhanced by this weight information for obtaining more discriminative features. Meanwhile, a boosting strategy is designed to fuse multi-branch classification results for better performance. Experiments conducted on three benchmark datasets demonstrate the superiority of the proposed method under various scenarios.
Mean Value Analysis of Critical Attack Paths with Multiple Parameters

Graphical models like attack trees and attack graphs provide promising approaches to represent and analyze complex cyber infrastructures. One common analysis that graphical models are used for is to identify short, or other types of critical attack paths. In this paper, we consider attack graphs that are probabilistic, and the attack steps are characterized by multiple parameters, the probability of success, and the distribution of time to perform the attack step. We propose low-complexity solutions to find sets of critical paths according to flexible mean value-based utility functions. We demonstrate that the results are similar to the ones from Monte-Carlo simulations. Consequently, the utility function-based approach can substitute time-consuming simulations and can be a valuable component of dynamic defense strategies.
Fair Distributed Oblivious Polynomial Evaluation via Bitcoin Deposits: Compute-as-a-Service

Distributed oblivious polynomial evaluation (DOPE) is a special case of two-party computation where the sender party $$P_1$$ holds a polynomial f(x) of degree k and the receiver party $$P_2$$ has a value $$\alpha $$ . They wish to perform a secure computation with the help of n designated cloud servers such that $$P_2$$ obtains the value $$f(\alpha )$$ while the privacy of their inputs is maintained. We present the first fair DOPE scheme using Bitcoin deposit transactions in the presence of n cloud servers where n is independent of the polynomial degree k. The fairness property ensures that an honest server gains the reward for conducting a computation service while a corrupt server has to pay some penalty amount to an honest party. Our protocol consists of two separate phases: setup and computation. The cloud servers are involved with $$P_1$$ in the setup phase while $$P_2$$ communicates with the servers in the computation phase which means that the actual computation can be implemented at any time after the setup phase. Any corrupt party/server can be detected using the non-interactive Pedersen’s commitment scheme. Our protocol preserves the security against an active adversary corrupting a coalition of $$P_1$$ and at most t cloud servers in the setup phase and a coalition of up to t servers in the computation phase in the presence of honest majority of the servers. The communication complexity is bounded to O(kt) which is the same as that in the previous DOPE studies while the fairness feature is also achieved in our scheme.
Small Private Key Attack Against a Family of RSA-Like Cryptosystems

Let $$N=pq$$ be the product of two balanced prime numbers p and q. Elkamchouchi, Elshenawy and Shaban presented in 2002 an interesting RSA-like cryptosystem that uses the key equation $$ed - k (p^2-1)(q^2-1) = 1$$ , instead of the classical RSA key equation $$ed - k (p-1)(q-1) = 1$$ . The authors claimed that their scheme is more secure than RSA. Unfortunately, the common attacks developed against RSA can be adapted for Elkamchouchi et al.’s scheme. In this paper, we introduce a family of RSA-like encryption schemes that uses the key equation $$ed - k (p^n-1)(q^n-1) = 1$$ , where $$n>0$$ is an integer. Then, we show that regardless of the choice of n, there exists an attack based on continued fractions that recovers the secret exponent.
Social Media as a Space for Islamophobia: COVID and Social-Environment Crisis Management

The COVID-19 pandemic has exposed an emergency of prejudice and savagery via social media by traditional ‘patriots’ in India. Meta, Twitter, and Instagram have turned into digital spaces full of deception about the pandemic. Hindu Instagram accounts such as @Hindu_secrets and @Hindu_he_hum have been unwavering and dedicated in spreading Islamophobic crusades by utilizing the COVID-19 pandemic. This has opened doors for hatred directed at Muslim people in India. This study situates itself inside the system of Stuart Hall's encoding and translating hypothesis to reveal the visual and printed codes used to make shameful and obtrusive generalizations that dehumanize and slander specific networks utilizing social media platforms. This is an explorative request that took part through a semiotic examination of the Instagram accounts of @Hindu_secrets and @Hindu_he_hum. The review tracked down encoded generalizations of danger in the utilization of variety, strict designs, garments, and other actual markers of social character in producing Islamophobic content. COVID-19 was depicted to as having Islamic parentage in the images; consequently, it depicted the Muslim people group as sustaining and deliberately spreading the infection across India and abroad.
Survival Analysis and Hazard of Log Logistic Distribution on Type I Censored Data Parametrically

Survival Analysis is a research method that examines the survival time of individuals or experimental units in relation to events such as death, disease, recovery, or other experiences. This study utilizes a parametric survival analysis model with a 2 parameter log logistic distribution and Maximum Likelihood Estimation (MLE) method to analyze the survival of students during their study period. The log logistic distribution is chosen due to its ability to capture early or late failure patterns. The objective of this research is to analyze type I censored survival data using the log logistic distribution applied to secondary data on student study duration. The dataset consists of 98 observations. The calculated values for the β and γ parameters of the 2 parameters log logistic distribution are 2.12831 and 0.0918891, respectively. The probability of students completing their studies by semester 8 (hazard function h(8)) is 0.370102, while the probability of students continuing their studies in semester 9 (survival function s(9)) is 0.320817.
Efektivitas Media Dart Board Modifikasi terhadap Kemampuan Kognitif dalam Mengenal Buah-buahan bagi Anak Usia Dini

The lack of growth in children's cognitive capacities to identify objects around them, such as the fact that children still struggle to recognize fruit, particularly its color, shape, and size, is what inspired this research. The research purpose is to evaluate the impact of dart board media on young children's cognitive development with regard to fruit comprehension. This study employs quasi-experimental techniques along with a quantitative approach. This study included every student at the Pembina Pasaman State Kindergarten, which had 115 students spread across six classes. Using a purposive sample technique, the sample of 17 kids from classes B6 and B1 was selected. Tests were used to collect the data, and tests for homogeneity, hypothesis testing, normality, and effect size were used to analyze the data. Therefore, the pre-test.
Does code review speed matter for practitioners?

Abstract Increasing code velocity is a common goal for a variety of software projects. The efficiency of the code review process significantly impacts how fast the code gets merged into the final product and reaches the customers. We conducted a qualitative survey to study the code velocity-related beliefs and practices in place. We analyzed 75 completed surveys from SurIndustryDevs participants from the industry and 36 from the open-source community. Our critical findings are (a) the industry and open-source community hold a similar set of beliefs, (b) quick reaction time is of utmost importance and applies to the tooling infrastructure and the behavior of other engineers, (c) time-to-merge is the essential code review metric to improve, (d) engineers are divided about the benefits of increased code velocity for their career growth, (e) the controlled application of the commit-then-review model can increase code velocity. Our study supports the continued need to invest in and improve code velocity regardless of the underlying organizational ecosystem.
Non-Invasive mHealth Application for Detecting Anemia from Conjunctiva Images

Anemia, which is defined by a lack of red blood cells or hemoglobin, is a widespread issue in global health that has far-reaching effects. An accurate and timely diagnosis of Anemia is essential, especially for pregnant women and people with chronic medical conditions as it can result in weakness, exhaustion, deteriorated cognitive function, and other severe problems. Traditional techniques of detecting Anemia often involve invasive blood testing, which can be expensive and inconvenient. This study proposes a non-invasive mHealth application that uses a machine learning and deep learning algorithms to identify Anemia from conjunctiva images. An annotated dataset containing eye conjunctiva images and ground truth masks were prepared for this study. The proposed system uses smartphone to capture image of a person's face with exposed conjunctiva and this image is segmented and region of interest that is eye conjunctiva is separated from the background. Then this segmented region is classified into Anemic and Non-anemic class by a machine learning algorithm. In this study UNet architecture gave 72.05% IOU in segmentation task and Random Forest classifier showed 91.43%±1.06% accuracy.
11 things about Securing Microservice

Microservices are a modern-era software development approach to creating REST APIs as a small independent process that is loosely coupled, performs business specific operation or capabilities, and is owned by a small team. Microservices are light weight components that are easy to develop, deploy and scale based on business requirements. Some of our customers use microservice with container-based deployment, some implement regular legacy process build and deploy on the webserver and some serverless in private, public, or hybrid cloud. Microservices are evolving and distributing the business requirement logic to multiple services which increases application complexity, maintainability and security while interacting with other services. Each organization follows multiple ways to secure their Microservices. Here, we will go through some of the security implementations and finally will review securing Microservices in zero trust.
Application of two-dimensional chaotic system and implementation of DSP

Abstract Given that the limited complexity of most current 2D maps undermines chaos-based practical applications, this paper proposes a 2D Logical Cosine Coupled Map (2D-LSCCM) and compares the bifurcation maps, Lyapunov exponent spectrum, and spectral entropy complexity of the classical 2D chaos model. Based on this model, this paper proposes an image encryption scheme using ascending alignment permutation and XOR pixel diffusion algorithm. After a series of tests, such as chi-square test, anti-attack test, key sensitivity test, and correlation test, the simulation findings show that the chaotic system proposed in this paper has excellent security performance compared with other systems. Moreover, a hardware platform based on DSP (Digital Signal Processing) and NIST test have been developed to analyze and test chaotic sequences.
PP-MARL: Efficient Privacy-Preserving Multi-agent Reinforcement Learning for Cooperative Intelligence in Communications

Cooperative intelligence (CI) is expected to become an integral element in next-generation networks because it can aggregate the capabilities and intelligence of multiple devices. Multi-agent reinforcement learning (MARL) is a popular approach for achieving CI in communication problems by enabling effective collaboration among agents to address sequential problems. However, ensuring privacy protection for MARL is a challenging task because of the presence of heterogeneous agents that learn interdependently via sharing information. Implementing privacy protection techniques such as data encryption and federated learning to MARL introduces the notable overheads (e.g., computation and bandwidth). To overcome these challenges, we propose PP-MARL, an efficient privacy-preserving learning scheme for MARL. PP-MARL leverages homomorphic encryption (HE) and differential privacy (DP) to protect privacy, while introducing split learning to decrease overheads via reducing the volume of shared messages, and then improve efficiency. We apply and evaluate PP-MARL in two communication-related use cases. Simulation results reveal that PP-MARL can achieve efficient and reliable collaboration with 1.1-6 times better privacy protection and lower overheads (e.g., 84-91% reduction in bandwidth) than state-of-the-art approaches.
A Lightweight Cross-Domain Authentication Protocol for Trusted Access to Industrial Internet

This paper proposes a hierarchical framework for industrial Internet device authentication and trusted access as well as a mechanism for industrial security state perception, and designs a cross-domain authentication scheme for devices on this basis. The scheme obtains hardware device platform configuration register (PCR) values and platform integrity measure through periodic perception, completes device identity identification and integrity measure verification when device accessing and data transmission requesting, ensures secure and trustworthy access and interoperation of devices, and designs a cross-domain authentication model for trustworthy access of devices and related security protocols. Through the security analysis, this scheme has good anti-attack abilities, and it can effectively protect against common replay attacks, impersonation attacks, and man-in-the-middle attacks.
Sex differences in reading and math test scores of children <b>Sex differences in reading and math test scores of children</b> , by Hoben Thomas, Cham, Springer, 2023, ISBN 978-3-031-41271-4

"Sex differences in reading and math test scores of children." Education 3-13, ahead-of-print(ahead-of-print), pp. 1–2 AcknowledgementsThe authors express their gratitude to Sekolah Tinggi Teknologi Bandung for providing assistance in the composition of this book review.Disclosure statementNo potential conflict of interest was reported by the author(s).
The Effect Of Realia On Students’ Ability In Writing Descriptive Text At Seventh Grade Of SMP Swasta Cinta Rakyat 3 Pematang Siantar

This research was entitled The Effect of Realia on Student’s Ability in Writing Descriptive Text at Seventh Grade of SMP Cinta Rakyat 3 Pematang Siantar. The purpose of this research to find out significant effect of Realia on student’s ability in writing descriptive text at seventh grade of SMP Cinta Rakyat 3 Pematang Siantar. This research used scoring rubric by Jacob in wigle 2002 which is included five aspects: Content, Organization, Vocabulary, Language use and Mechanism. The method used in this research was quantitative method. This research used quasi- experimental design. The population of this research was seventh grade students of SMP Cinta Rakyat 3 Pematang Siantar. The samples of this reseach was took two classes as the sample of this research consists of 64 students. There sample of this research were VII-C as the experimental class and VII-D as the control class. This research used purposive sampling technique. This research used instrument writing test to collected the data for pre- test and post-test. From the data and result finding of the calculation, the researcher found that the mean score in the experimental class pre-test and post-test were 32,46 and the mean score in the control class pre-test and post-test were 22,93. After calculated the data overall, the researcher found the t-test score is 5,069. Then, the researcher consulted with value on t-table used significance 5% and the value is 1,670. Therefore, the researcher found that t-test is higher than t-table (5,069&gt; 1,670) and Alternative Hypothesis (Ha) was accepted while Null Hypothesis (Ho) was rejected. It can be concluded that using Realia as the media in teaching writing descriptive text at seventh grade of SMP Cinta Rakyat 3 Pematang Siantar is significant.