Reviewerly/exHarmony huggingface dataset:
Association between Achieving Textbook Outcomes and Better Survival after Laparoscopic Liver Resection in Patients with Hepatocellular Carcinoma

Introduction: Textbook outcomes (TO) are important to assess the quality of surgical procedures. Laparoscopic liver resection (LLR) is considered a standard treatment for hepatocellular carcinoma located in the anterolateral segments of the liver. We investigated the factors affecting achievement of TO for LLR and its impact on survival. Methods: We conducted a retrospective cohort study of patients who underwent LLR for lesions located in the anterolateral segments. TO included negative margin, no transfusion, no postoperative major complications, no 30-day readmission, no 30-day mortality, and length of stay ≤50th percentile. We analyzed preoperative factors affecting the achievement of TO and its impact on survival. Results: A TO was achieved in 55.0% of patients (n = 170). In multivariable analysis, Model for End-stage Liver Disease score >10 (odds ratio [OR] 3.076; 95% confidence interval [CI] 1.134–8.342), diabetes mellitus (OR 2.325; 95% CI 1.227–4.407) and thrombocytopenia (OR 2.115; 95% CI 1.134–8.342) were independently associated with not achieving TO. The 5-year overall (82.9% vs. 72.8%, P=0.017) and recurrence-free (48.8% vs. 35.4%; P=0.036) survival rates were significantly greater in the TO group than in the non-TO group. In patients with cirrhosis, the 5-year overall (81% vs. 67.2%, P=0.007) and recurrence-free (47.2% vs. 27.5%, P=0.030) survival rates were significantly greater in the TO group than in the non-TO group. Conclusion: LLR of the anterolateral segments of the liver is considered a standard treatment. TO influences the short- and long-term outcomes after LLR for HCC.
PROBLEM-BASED LEARNING AS A FACILITATOR OF STUDENTS’ READING COMPREHENSION

The purpose of this study was to determine to what extent the Problem-Based Learning method improved reading comprehension during the second year of MA Muhajirin As'adiyah Kampiri. This study employed a pre-experimental approach to attain its goal. The researcher employed a cluster random sampling technique with a sample of 24 students from classes XII-A. The pre-test and post-test were used to collect data. Problem-Based Learning was used to teach the experimental class. The data was analyzed using the education data analysis formula. The pre-test and post-test results revealed a considerable improvement. It was demonstrated by the fact that the mean score of the students' experimental post-test (77.9) was greater than the mean score of the students' pre-test (41.8), and the post-test T-test value was 0.02, which was less than (α) = 0.05. The treatment causes an improvement in kids' reading comprehension. Problem-Based Learning improves students' thinking skills and encourages them to use their abilities to read literature. So that students participating in Problem-Based Learning could easily understand the texts. As a result, it is concluded that implementing problem-based learning improves students' reading comprehension throughout their second year of MA Muhajirin As'adiyah Kampiri.
Rust and Webassembly for Fast, Secure and Reliable Software

Rust is a new systems programming language that promises to overcome the seemingly fundamental tradeoff between high-level safety guarantees and low-level control over resource management.WebAssembly (Wasm) is a new binary instruction format for a stack-based virtual machine, it is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.This paper explores these two new technologies and how they interact with each other.Our findings showed that the combination of those two technologies could revolutionize the way the entire industry design fast and secure software.
Preface

It is our pleasure to present to you the three papers that were accepted for presentation at this second AIIDE workshop on AI for adversarial real-time games, covering building placement optimization, sequential pattern mining for achieving short and long-term goals, and high-level representation for search in RTS games.
Analysis Of Accounting Information System at PT. Jasaraharja Putera Branch of Bengkulu

The purpose of this study to analyze the accounting information system at PT. Jasaraharja (Putera) Bengkulu Branch in accordance with SAK ETAP in 2020. This type of research is descriptive. Data collection techniques using interviews and observation. The analytical method used in this study is a comparative method, which is to compare the recognition of income and expenses by PT. Jasaraharja (Putera) Bengkulu Branch which has been applied and compared to revenue and expense recognition in accordance with SAK ETAP no. 11 of 2009. The results showed that the recognition of income from demand deposits, administrative income of PT. Jasaraharja (Putera) Bengkulu Branch is still not in accordance with SAK ETAP regulations because the method used tends to be on a cash basis, because based on SAK ETAP revenue recognition must use an accrual basis. Recognition of expenses on PT. Jasaraharja (Putera) Bengkulu Branch has complied with SAK ETAP because expenses are recognized on an accrual basis and are recognized at the end of the period, all expenses incurred in PT. Jasaraharja (Putera) Bengkulu Branch has been included in the income statement for each period. There is a discrepancy between the revenue recognition between PT. Jasaraharja (Putera) Bengkulu Branch with SAK ETAP and the suitability between the recognition of expenses between PT. Jasaraharja (Putera) Bengkulu Branch with SAK ETAP.
International Association of Geoanalysts

In September 2021, we hosted a workshop to celebrate 25+ years of GeoPT, our flagship proficiency testing scheme.It was a pleasure to welcome over 60 participants from locations ranging from Canada to Mongolia, despite some significant differences in local time.In the past, we have held GeoPT workshops in conjunction with our Geoanalysis conferences but video conferencing made it possible for a wider range of participants to join in and to put faces to the people who currently organise GeoPT.
Pengembangan Media Pembelajaran Monopoli Ciri-Ciri Mahluk Hidup Di Madrasah Ibtidaiyah Kanigoro Blitar

This study aims to see the feasibility of developing learning media used to solve problems in the thematic learning process for the characteristics of living things to be more effective, interesting and fun. By using the Research and Development (R&amp;D) method, the researcher developed a game-based learning media based on the Borg and Gall procedure using only 4 stages of development that adopted the monopoly game. Through the results of 3 validators, namely material experts at 80.5%, media design experts at 95%, and learning experts at 90%, this research shows that the validation is at a very valid qualification percentage, so this monopoly game-based learning media is very feasible to use. used. This is also evidenced by the results of large-scale pre-test and post-test field trials with 83.6% results.
Meta-competences that confer teachers’ credibility and charisma after COVID-19 pandemic

A paradigmatic change in education is due to the transition from teaching contents / information to training and skills development and, more, on developing meta-competences. This study aims to identify master students’ perception (School Counselling and Career Development) concerning their meta-competences that confer credibility and charisma to teachers after COVID-19 pandemic. Significant results are analysed; and finally, we have conceived some recommendations for continuous teachers’ training that propose to develop these meta-competences.
Impact of Crypto Tokens on Work-Life

Crypto token is a digital money group or a virtual cash token.It refers to a tradable resource or utility that exists entirely on the Blockchain and allows the holder to use it for business or monetary purposes.Crypto tokens, like legal tender, can address a financial backer's stake in the organization or fill a monetary need.This means token holders can use them to make purchases or exchange tokens for profit, just like other securities.In addition, people can use crypto coins to make payments with their computerized money (Frankenfield, 2022).Individuals can use tokens for a variety of purposes, however.They can use them for exchanging, storing significant value, and, of course, trading.Therefore, organizations must be aware of the causing factors of crypto currency and its consequences on work-life.This study aims to offer a model of the consequences of crypto technology in organizations and its effect on work life.To this end, we have analyzed some studies on Crypto and work-life through a systematic literature review.In addition, some topics such as automation, remuneration, and remote work will be discussed.Finally, this paper will be helpful in the academic and industry to further explore this field.
Network Cluster Reliability with Enhanced Security and Privacy of IoT Data for Anomaly Detection Using a Deep Learning Model

Cyber Physical Systems (CPS), which contain devices to aid with physical infrastructure activities, comprise sensors, actuators, control units, and physical objects. CPS sends messages to physical devices to carry out computational operations. CPS mainly deals with the interplay among cyber and physical environments. The real-time network data acquired and collected in physical space is stored there, and the connection becomes sophisticated. CPS incorporates cyber and physical technologies at all phases. Cyber Physical Systems are a crucial component of Internet of Things (IoT) technology. The CPS is a traditional concept that brings together the physical and digital worlds inhabit. Nevertheless, CPS has several difficulties that are likely to jeopardise our lives immediately, while the CPS's numerous levels are all tied to an immediate threat, therefore necessitating a look at CPS security. Due to the inclusion of IoT devices in a wide variety of applications, the security and privacy of users are key considerations. The rising level of cyber threats has left current security and privacy procedures insufficient. As a result, hackers can treat every person on the Internet as a product. Deep Learning (DL) methods are therefore utilised to provide accurate outputs from big complex databases where the outputs generated can be used to forecast and discover vulnerabilities in IoT systems that handles medical data. Cyber-physical systems need anomaly detection to be secure. However, the rising sophistication of CPSs and more complex attacks means that typical anomaly detection approaches are unsuitable for addressing these difficulties since they are simply overwhelmed by the volume of data and the necessity for domain-specific knowledge. The various attacks like DoS, DDoS need to be avoided that impact the network performance. In this paper, an effective Network Cluster Reliability Model with enhanced security and privacy levels for the data in IoT for Anomaly Detection (NSRM-AD) using deep learning model is proposed. The security levels of the proposed model are contrasted with the proposed model and the results represent that the proposed model performance is accurate
Learning Tonal Harmony Through Augmented Reality: Bridging the Gap Between Music Embodiment and Digital Experiences

This paper aims to highlight how a technologically augmented approach can help developing tonal harmony awareness in young learners. The proposal is rooted in previous experiences conducted by the same research group and dealing, on one side, with the embodiment of music concepts, and, on the other, with a reenactment of the same activities in the digital domain. To the latter goal, a publicly-available web platform containing three types of exercises has been released. In order to bridge the gap between the physical experiences and their digital counterparts, we present a methodological approach based on the adoption of augmented-reality technologies. Such a vision has driven the design and implementation of an app for mobile devices that incorporates image recognition algorithms.
O quaijo que xerava bem um estudo de produções escritas e orais do ditongo &lt;ei&gt; de crianças de dois dialetos portugueses

In an early stage of learning to write, diphthongs are complex structures that cause difficulties for many children. In addition to having a two-character representation, diphthongs have different phonetic forms that seem to interfere with children’s consolidation of the conventional spelling, depending on whether their dialect more or less resembles the graphic form of the structure. Based on the idea that, unlike the northern dialect, the southern dialect produces the diphthong /eI/ as [e], the goal of the present paper is to analyze the behavior of children from Alentejo and Trás-os-Montes (from Elvas (E), Vila Nova de Santo André (VNSA), Bragança (B) and Chaves (Ch)) from the 2nd year of schooling regarding this structure. It is also known that /eI/ centralization occurs in some regions beyond Lisbon, and its effect on children’s writing outside the capital is unknown. As such, written productions from the mentioned localities will be observed in order to compare the results with those from Lisbon (L) and Porto (P) of the same diphthong, reported by Rodrigues &amp; Lourenço (2017). Our results concerning writing indicate that children from the South of the country (L, E + VNSA) have more difficulty in stabilizing the spelling of the diphthong &lt;ei&gt; than children from the North (P, B + Ch). The order of the hit rates is as follows: P &gt;&gt; B + Ch &gt;&gt; E + VNSA &gt;&gt; L, which confirms the existence of possible effect of dialect on the spelling performance of these children. The non-conventional forms (FNCs) varied according to dialectal region. In the two Alentejo localities, there was a preference for the erroneous forms &lt;*e&gt;/&lt;*é&gt; and &lt;*ai&gt;, which allows us to hypothesize that, in addition to the to the single vowel [e] form already described by dialectal studies, the oral form [ɐj] is also present there. In turn, in the localities of Bragança and Chaves, the FNC &lt;*ai&gt; was the most frequent, suggesting that the pronunciation in this region may be [ɐj] in addition to [ej]. Only the oral productions of the students who presented FNCs were analyzed, to try to understand whether the FNCs adopted derived from a direct transposition from their orality to writing. The observed orality data revealed that (i) there are children who establish a direct relation between oral form produced and FNC adopted, (ii) there are children whose oral and written production have no relation, thus, there is no transposition in writing of the oral form and, finally, (iii) there are children whose production in writing and/or orality varies depending on the lexical item. These results suggest that the analysis of children’s writing and speech may be a way to discover new clues for the development of other sociolinguistic work on Portuguese.
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse

We introduce XIVA, an intelligent voice assistant to support Chinese voice interaction for the future educational metaverse system. Unlike existing commercial voice assistants within a closed or limited ecosystem, XIVA focuses on providing open programming interfaces to third-party developers, to supporting them to develop new voice commands and functions. XIVA can be customized and run on different operating systems and different devices, such as a raspberry Pi, a personal computer, a VR headset or other intelligent devices developed by metaverse practitioners. In this demo, we present XIVA's capabilities of basic voice interaction and various capabilities extended by third-party for smart classroom operation control.
Character Recognition Techniques and approaches: a literature review

Researchers have carried out many approaches to recognizing the OCR through software-based and FPGA-based and its relationship with the ANNs and training these NNs by using the BP algorithm. The FPGA supports high speed to recognize the character because it works in parallel. It involves many logic circuits and can process at the same time (clock cycle). There have been problems with the established system because the size, shape, and style of supposedly identical characters might differ from person to person and even within the same person on rare occasions. The photograph is vulnerable to noise and can lose some or all of its visual clarity as a result. There are strict guidelines that govern the way a character looks that the character must adhere to. The NN and its learning process could only be defined by heuristically deducing its rules from samples and the enormous dataset.
Satisfying curriculum and rewarding curiosity—A case study in recording studios for education, experimentation, and verification

While the acoustic performance goals of a recording studio in an academic setting have much in common with those of a commercial studio, the school diverges quickly from the business. The owner, users, and activities unique to the academy shift and expand priorities, motivating additionaldesign features. Students of audio learn to practice critical thinking informed by critical listening. It is not enough, however, that recording studios for education offer spaces withbest-in-class acoustics for listening and sound recording. Present and future generations of creative recordists must master problem solving that includes acoustic sleuthing, exploring a deliberately wide vocabulary of sonic spaces on campus to prepare them for success working in the wide range of architectural forms that await them in the course of future professional work. The snapshot of acoustic features presented here is the current solution to the ever-evolving curricular demands of one successful sound recording program.
أثر القيادة الإبداعية والذكاء الإستراتيجي في إستراتيجيات إدارة الأزمات في المؤسسات العامة القطرية = The Impact of Innovative Leadership and Strategic Intelligence on Crisis Management Strategies in Qatari Public Institutions

القيادة الإبداعية | إستراتيجيات إدارة الأزمات | الذكاء الإستراتيجي | المؤسسات العامة القطرية | Innovative Leadership | Crisis Management Strategies | Strategic Intelligence | Public institutions and Qatar State
ASOSIASI ITEM BELANJA DESA MENGGUNAKAN ALGORITMA APRIORI

The problems that occur are a lot of data contained in village financial institutions, which raises difficulties in terms of village budgeting and expenditure, so it is necessary to implement an a priori algorithm for data on village income and expenditure budgets. The method that will be used in this study is Apriori by analyzing the village income and expenditure budget data. The formation of association rules is obtained by determining the minimum support value of 2% and minimum confidence of 50%. The association rule with the smallest support score and the highest value of confidence, which is 100%, becomes the rule chosen for the reference of bundling strategies in village expenditure items. Apriori Algorithms can be applied to support the Village Expenditure Budget Item. Planning and spending of the Village Budget Item is greatly assisted by the application of this Priori algorithm so that the effectiveness is expected to be increased. The application of the Apriori algorithm which is done through software designed has been shown to show the appropriate results. This is proven by calculating the value of support and confidence which shows the same results.
Education 4.0: Online Learning Management Using Education Smart Courses

The number of students at tertiary and domestic universities rises as a result of evolving educational practices.However, in several Indonesian universities, this development has not been matched by an equalization of the course digitization system that can form soft skills and hard skills. As a result, there are gaps for instructors and students who want to form skills in these areas. Education Smart Courses (E-Scores) can solve the issues in education that arise when courses are gamified by developing a platform using sophisticated blockchain technology.The business model method of CANVA and TKT was then used in this study to systematically measure technological development.The advantages of Education Smart Courses (E-Scores), Blockchain-based innovations that academics can easily access, and gamification in educational courses, with the hope that prototypes will become more valuable and be developed in order to be able to provide better change.
Analysis of English Teaching Ability Evaluation Algorithm Based on Fuzzy Comprehensive Evaluation

In the context of the era of big data, "Internet + education" provides a new way of teaching English. The traditional assessment means uses manual assessment, and there is a lot of human subjective awareness in the assessment process, resulting in low assessment accuracy. The English teaching holohedral ability assessment system can complete the assessment and ranking of the holohedral English teaching ability in universities, and use the attribute means to analyze and obtain the attribute index. In order to realize the assessment of English teaching ability, this paper adopts the fuzzy holohedral assessment, which effectively reveals the teaching law, and the computer and mathematics together make it possible to evaluate the teaching quality automatically, efficiently and scientifically. This paper concludes that carrying out teaching assessment is a vital measure to ensure the quality of teaching. For colleges, promoting the improvement of teaching quality through teaching assessment is an effective means. The determination of the importance degree coefficient of the assessment factors in the fuzzy holohedral assessment model is the key link of the holohedral assessment, and the accuracy of its determination is related to the scientificity, rationality and authority of the assessment.
Network Security Intrusion Detection and Mass Alarms Under Cluster Computing Platform

Network intrusion detection technology has developed for more than ten years, but due to the network intrusion is complex and variable, it is impossible to determine the function of network intrusion behaviour. Combined with the research on the intrusion detection technology of the cluster system, the network security intrusion detection and mass alarms are realized. Method: This article starts with an intrusion detection system, which introduces the classification and workflow. The structure and working principle of intrusion detection system based on protocol analysis technology are analysed in detail. Results: With the help of the existing network intrusion detection in the network laboratory, the Synflood attack has successfully detected, which verified the flexibility, accuracy, and high reliability of the protocol analysis technology. Conclusion: The high-performance cluster-computing platform designed in this paper is already available. The focus of future work will strengthen the functions of the cluster-computing platform, enhancing stability, and improving and optimizing the fault tolerance mechanism.