Improving collaborative filtering using lexicon-based sentiment analysis

<span>Since data is available increasingly on the Internet, efforts are needed to develop and improve recommender systems to produce a list of possible favorite items. In this paper, we expand our work to enhance the accuracy of Arabic collaborative filtering by applying sentiment analysis to user reviews, we also addressed major problems of the current work by applying effective techniques to handle the scalability and sparsity problems. The proposed approach consists of two phases: the sentiment analysis and the recommendation phase. The sentiment analysis phase estimates sentiment scores using a special lexicon for the Arabic dataset. The item-based and singular value decomposition-based collaborative filtering are used in the second phase. Overall, our proposed approach improves the experiments’ results by reducing average of mean absolute and root mean squared errors using a large Arabic dataset consisting of 63,000 book reviews.</span>

Positive Turn in Elder-Care Workers’ Views Toward Telecare Robots

Robots have been slowly but steadily introduced to welfare sectors. Our previous observations based on a large-scale survey study on Finnish elder-care workers in 2016 showed that while robots were perceived to be useful in certain telecare tasks, using robots may also prove to be incompatible with the care workers’ personal values. The current study presents the second wave of the survey data from 2020, with the same respondents (N = 190), and shows how these views have changed for the positive, including higher expectations of telecare robotization and decreased concerns over care robots’ compatibility with personal values. In a longitudinal analysis (Phase 1), the positive change in views toward telecare robots was found to be influenced by the care robots’ higher value compatibility. In an additional cross-sectional analysis (Phase 2), focusing on the factors underlying personal values, care robots’ value compatibility was associated with social norms toward care robots, the threat of technological unemployment, and COVID-19 stress. The significance of social norms in robot acceptance came down to more universal ethical standards of care work rather than shared norms in the workplace. COVID-19 stress did not explain the temporal changes in views about robot use in care but had a role in assessments of the compatibility between personal values and care robot use. In conclusion, for care workers to see potential in care robots, the new technology must support ethical standards of care work, such as respectfulness, compassion, and trustworthiness of the nurse–patient interaction. In robotizing care work, personal values are significant predictors of the task values.

THE RELATIONSHIP BETWEEN COMPETITIVE INTELLIGENCE PROCESSES AND HOTELS' INFORMATION QUALITY: EVIDENCE FROM MALAYSIA

The information quality (IQ) and the tools used to generate it such as competitive intelligence (CI) are the most critical competitive competencies for businesses today, particularly in the tourism and hotel sectors. However, there is still ambiguity about the impact of each phase of the competitive-intelligence process (CIP) on IQ, particularly in the hotel industry in a developing country such as Malaysia. Thus, the purpose of this research is to detect the level of IQ resulting from CIP in Malaysian hotels, as well as to investigate the impact of each phase of CIP (planning and focus, gathering, analysis, and communication) on IQ (contextual and representational) of Malaysian hotels. A quantitative research design was adopted in this study. To collect the data required to analyse the study's hypothesised model, 505 questionnaires were distributed to marketing managers at Malaysian Association of Hotels (MAH) member hotels, yielding a total of 184 analysable questionnaires with a response rate of 34.44 percent. The research data were analysed using structural equation modelling with partial least squares (SEM-PLS). Despite that half of the responding hotels practiced CI informally, the study found that the level of IQ resulting from CIP was high. Furthermore, the results indicate that the planning and focus, gathering, and analysis phases of CIP had a positive and significant impact on hotels' IQ, while the communication phase had a slight negative but insignificant impact on hotels' IQ. Additionally, the results show that the analysis phase is the most relevant, followed by the gathering phase, and finally the planning and focus phases phase. These findings enrich those in positions of power like owners, managers, and practitioners, as well as academicians, with greater knowledge of the relationship and influence of CIP on firms' IQ, particularly for hospitality and tourism firms.

Impact of minimal sufficient balance, minimization, and stratified permuted blocks on bias and power in the estimation of treatment effect in sequential clinical trials with a binary endpoint

Minimization is among the most common methods for controlling baseline covariate imbalance at the randomization phase of clinical trials. Previous studies have found that minimization does not preserve allocation randomness as well as other methods, such as minimal sufficient balance, making it more vulnerable to allocation predictability and selection bias. Additionally, minimization has been shown in simulation studies to inadequately control serious covariate imbalances when modest biased coin probabilities (≤0.65) are used. This current study extends the investigation of randomization methods to the analysis phase, comparing the impact of treatment allocation methods on power and bias in estimating treatment effects on a binary outcome using logistic regression. Power and bias in the estimation of treatment effect was found to be comparable across complete randomization, minimization, and minimal sufficient balance in unadjusted analyses. Further, minimal sufficient balance was found to have the most modest impact on power and the least bias in covariate-adjusted analyses. The minimal sufficient balance method is recommended for use in clinical trials as an alternative to minimization when covariate-adaptive subject randomization takes place.

Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study

Background Sepsis, defined as life-threatening organ dysfunction caused by a dysregulated host response to infection, has become one of the major causes of death in Intensive Care Units (ICUs). The heterogeneity and complexity of this syndrome lead to the absence of golden standards for its diagnosis, treatment, and prognosis. The early prediction of in-hospital mortality for sepsis patients is not only meaningful to medical decision making, but more importantly, relates to the well-being of patients. Methods In this paper, a rule discovery and analysis (rule-based) method is used to predict the in-hospital death events of 2021 ICU patients diagnosed with sepsis using the MIMIC-III database. The method mainly includes two phases: rule discovery phase and rule analysis phase. In the rule discovery phase, the RuleFit method is employed to mine multiple hidden rules which are capable to predict individual in-hospital death events. In the rule analysis phase, survival analysis and decomposition analysis are carried out to test and justify the risk prediction ability of these rules. Then by leveraging a subset of these rules, we establish a prediction model that is both more accurate at the in-hospital death prediction task and more interpretable than most comparable methods. Results In our experiment, RuleFit generates 77 risk prediction rules, and the average area under the curve (AUC) of the prediction model based on 62 of these rules reaches 0.781 ($$\pm 0.018$$ ± 0.018 ) which is comparable to or even better than the AUC of existing methods (i.e., commonly used medical scoring system and benchmark machine learning models). External validation of the prediction power of these 62 rules on another 1468 sepsis patients not included in MIMIC-III in ICU provides further supporting evidence for the superiority of the rule-based method. In addition, we discuss and explain in detail the rules with better risk prediction ability. Glasgow Coma Scale (GCS), serum potassium, and serum bilirubin are found to be the most important risk factors for predicting patient death. Conclusion Our study demonstrates that, with the rule-based method, we could not only make accurate prediction on in-hospital death events of sepsis patients, but also reveal the complex relationship between sepsis-related risk factors through the rules themselves, so as to improve our understanding of the complexity of sepsis as well as its population.

Identification and Assessment of Obsolescence in the Early Stages of System Design

Obsolescence is the fact that an entity (physical or logical) is becoming outdated or no longer possesses the required level of performance. The objectives of this article are twofold. First, it is intended to contribute to the understanding of obsolescence propagation. Secondly, two supporting approaches for the Identification and Assessment phases are proposed: the House of Obsolescence and the System Obsolescence Criticality Analysis. The former allows the mapping of obsolescence propagation via dependencies, whether imposed changes are desired or imposed, by external actors to the system architecture. Whereas, the objective of the latter is to assign an obsolescence criticality index to the identified risks in order to prioritize them for solution or mitigation determination during the analysis phase. The tools make extensive use of the modeled system knowledge through the application of Systems Engineering. The application of these approaches is presented through an illustrative study.

DEVELOPMENT OF AN ONLINE EDUCATION COMMUNITY SERVICE (OECS) MODEL BASED ON SULAM (SERVICE LEARNING MALAYSIA – UNIVERSITY FOR SOCIETY)

This paper proposes the development of an Online Education Community Service (OECS) Model based on SULAM (Service Learning Malaysia - University For Society). It aims to fulfil the needs for student community service activities that could not be conducted in-person or face-to-face due to movement restrictions during the COVID-19 pandemic. The suggestions in this paper are based on qualitative findings through literature reviews pertaining to community service among students. Several research methodologies and sampling techniques are proposed for the development of the model. One of these suggestions is adopting the Design and Development Research approach that could be developed in phases namely the needs analysis phase, the model component design phase, and the model development phase. The needs analysis phase involves reviewing literature using the content analysis technique. The model component design phase includes semi-structured interviews with students, lecturers, and community members whereas the questionnaire survey will be conducted among students only. Interview data is to be analysed using NVivo while questionnaire data from the pilot study and actual study will be analysed using SPSS. The model development phase involves conducting expert consensus workshops using the Fuzzy Delphi Method based on verified findings from the first and second phases of the study. Findings from the model development phase are to be analysed using Excels software. This proposed development of the SULAM-based OECS is in line with the Ministry of Higher Education’s aspiration to combine course learning outcomes with the aspect of community service to produce holistic students. Hence, students will be able to share their knowledge and skills obtained in university with the community in the effort to turn institutions of higher learning into Centres of Excellence. It is also in line with the country’s vision of achieving mutual prosperity by 2030 and the Sustainable Development Goals, specifically the goal of Quality Education.

The impact of historic building toward regional sustainability: Case study Menara Kudus, Indonesia

Menara Kudus area marks the beginning of Kudus City, Central Java, Indonesia. The area is famous for its many historic buildings, including Menara Kudus, Al Aqsa Mosque, the traditional Kudus house, and Sunan Kudus tomb complex. Menara Kudus area is an area visited by pilgrims and tourists. In addition, there are many “pesantren” in the surrounding area that make this area never look deserted. Economic development thrives around the area but doesn’t necessarily change physical setting. This study was designed to describe the impact of historic buildings in Menara Kudus area on the sustainability of the surrounding area. The method used in this research is qualitative interpretive descriptive, which analyzes field data using 3 aspects of sustainability which is economic, social and environmental fields. The analysis phase is carried out through 3 stages. The first stage is the explanation and description of historic buildings around the Holy Tower. The second stage, discuss and describe the economic, social, and environmental aspects around the Menara Kudus. The third stage, interpretation to see the impact toward surrounding area. The results of this study show there are significant influence between historic buildings and the sustainability of the area, especially on the economic aspect. Crowds of pilgrims and tourists visiting the Menara Kudus area make economic activity in the surrounding area flourish. Likewise, with the presence of “santri” from outside the Kudus area which is in the vicinity of Menara Kudus. The existence of a institution that manages the Mosque, the Tomb, and Menara Kudus and the Kudus Cultural Heritage Team makes this area neatly arranged so that it supports the sustainability of the region.

PENGEMBANGAN MEDIA PEMBELAJARAN VIDEO ANIMASI PADA TEMA 9 SUBTEMA 2 SISWA KELAS V SDIT AL MADINAH DUMAI

The purpose of this research is to develop animated video learning media on theme 9 sub-theme 2 class V, make it easier for teachers to deliver learning materials. This research method uses development research with ADDIE development model. This research was conducted in three stages: 1) the analysis phase consisted of curriculum analysis, teacher and student analysis, and media analysis; 2) the design stage, namely the design of animated video learning media using the kinemaster application; 3) the development stage, namely producing learning media that have been designed at the design stage. In addition to media production, the researcher also developed a research instrument, namely a validation sheet. The results of this study indicate that the animated video learning media meets the very feasible criteria, in learning 1 the results are 94,85%, in learning 2, the results are 95% and in learning 3, the results are 95%. Abstrak Tujuan pelitian ini yaitu untuk mengembangan media pembelajaran video animasi pada tema 9 subtema 2 kelas V, mempermudah guru dalam menyampaikan materi pembelajaran. Metode penelitian ini menggunakan penelitian pengembangan dengan model pengembangan ADDIE. Penelitian ini dilakukan dengan tiga tahapan yaitu 1) tahap analisis terdiri dari analisi kurikulum, analisis guru dan siswa, dan analisis media; 2)tahap desain yaitu rancangan media pembelajaran video animasi dengan menggunakan aplikasi kinemaster; 3) tahap pengembangan yaitu memproduksi media pembelajaran yang telah dirancang pada tahap desain. Selain produksi media, peneliti juga menyusun instrumen penelitian yaitu lembar validasi. Hasil penelitian ini menunjukkan bahwa media pembelajaran video animasi memenuhi kriteria sangat layak, pada pembelajaran 1 memperoleh hasil 94,85%, pembelajaran 2 memperoleh hasil 95% dan pembelajaran 3 memperoleh hasil 95%. Kata Kunci:Media pembelajaran, video animasi, tema 9

Geguritan Ni Sumala: Suatu Kajian Filologis

This research is entitled “Geguritan Ni Sumala: Philological Studies”. Assessment of Geguritan Ni Sumala uses philological theory. This study aims to obtain the text of Geguritan Ni Sumala which approaaches the original. The data supply phase uses the observation method and simak method helped by note taking technique. Next, in data analysis phase using comparative descriptive method, transliteration uses standard transliteration method, following by a comparation of three texts through text criticism, text edition using the legger method, the translation uses combination literal translation and idiomatic translation. In the stage of presenting the result of data analysis using formal and informal method by deductive-inductive tecnique also assisted by exposure, tables, and themes. The text edition is complemented by criticism apparatus which is presented separately and translation is also presented separately with the source text. The result of this study are, from the three of GNS manuscripts that have been compared through text criticism there are some copy/write errors from each text such as substitution, adition, omission, lakuna, interpolation, ditography, transposition, and corrupt. By correcting the copy error presented Geguritan Ni Sumala text which assumed to be correct based on the evidence three of contained manuscripts. Geguritan Ni Sumala uses Balinese Kawi language. Next in text edition for literacy guidelines used are Acri and Griffiths opinions (2014: 371-372) and combined with Damais opinions (1995: 125). aside from that, the spelling used in text edition are spelling guidelines for Balinese script pairs with Latin letters and Balinese letters also guidelines Pasang Aksara Bali. Indonesian translations are also included in the Geguritan Ni Sumala text.