Dominant Dimension Research Articles

Rigidity degrees of indecomposable modules over representation-finite self-injective algebras

The rigidity degree of a generator-cogenerator determines the dominant dimension of its endomorphism algebra, and is closely related to a recently introduced homological dimension — rigidity dimension. In this paper, we give explicit formulae for the rigidity degrees of all indecomposable modules over representation-finite self-injective algebras by developing combinatorial methods from the Euclidean algorithm. As an application, the rigidity dimensions of some algebras of types A and E are given.

Effects of Sleep Deprivation on Performance during a Change Signal Task with Adaptive Dynamics.

Augmented cognition, which refers to real-time modifications to a human-system interface to improve performance and includes dynamic task environments with automated adaptations, can serve to protect against performance impairment under challenging work conditions. However, the effectiveness of augmented cognition as a countermeasure for performance impairment due to sleep loss is unknown. Here, in a controlled laboratory study, an adaptive version of a Change Signal task was administered repeatedly to healthy adults randomized to 62 h of total sleep deprivation (TSD) or a rested control condition. In the computerized task, a left- or right-facing arrow was presented to start each trial. In a subset of trials, a second arrow facing the opposite direction was presented after a delay. Subjects were to respond within 1000 ms of the trial start by pressing the arrow key corresponding to the single arrow (Go trials) or to the second arrow when present (Change trials). The Change Signal Delay (CSD)-i.e., the delay between the appearance of the first and second arrows-was shortened following incorrect responses and lengthened following correct responses so that subsequent Change trials became easier or harder, respectively. The task featured two distinct CSD dynamics, which produced relatively stable low and high error rates when subjects were rested (Low and High Error Likelihood trials, respectively). During TSD, the High Error Likelihood trials produced the same, relatively high error rate, but the Low Error Likelihood trials produced a higher error rate than in the rested condition. Thus, sleep loss altered the effectiveness of the adaptive dynamics in the Change Signal task. A principal component analysis revealed that while subjects varied in their performance of the task along a single dominant dimension when rested, a second inter-individual differences dimension emerged during TSD. These findings suggest a need for further investigation of the interaction between augmented cognition approaches and sleep deprivation in order to determine whether and how augmented cognition can be relied upon as a countermeasure to performance impairment in operational settings with sleep loss.

Developing a religiosity scale for Indonesian Muslim youth

This study aims to construct and test the validity of the Islamic youth religiosity scale. The population in this study is Muslim students of senior high schools in Surakarta, Central Java, with a sample of 258 established using the random sampling technique. The data analysis used the Linear Structural Model. The result shows that the RMSEA (≤ 0.08) and GFI (≥ 0.09) values from the four dimensions (belief, ritual, social, commitment meet the standard values of compatibility with the respective values for RMSEA beliefs = 0.055 GFI = 0.94, RMSEA rituals = 0.026 GFI = 0.99, social RMSEA = 0.059 GFI = 0.91, commitment of RMSEA = 0.032 GFI = 0.97. This means that these dimensions (belief, ritual, social, commitment) can reflect the religiosity variables positively and fit empirical data. The most dominant dimension reflecting religiosity is the social dimension with an average factor loading value 0.05, and the weakest one that reflects religiosity is confidence because many items have a loading factor 0.05.

Differential Effects of Multidimensional Review Evaluations on Product Sales for Mainstream vs. Niche Products

Despite a large body of literature on online reviews, none have considered the nuanced impacts of how multidimensional reviews affect product sales differently for mainstream vs. niche products. This study seeks to fill this knowledge gap by conducting complementary studies in two product categories (i.e., automobiles and laptops) with different methods (a field study and three lab experiments). Our paper reveals three key insights into the emerging literature and phenomenon on multidimensional review systems: (1) the interdimensional rating variance is more negatively related to product sales for mainstream products than for niche products in the same category, (2) the intradimensional rating valence on the dominant dimension of a product is more positively related to product sales for niche products than for mainstream products, and (3) the intradimensional rating variance on the dominant dimension of a product is more negatively related to product sales for niche products than for mainstream products. Our research provides important managerial implications for both product providers and review platforms.

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning.

It is becoming increasingly attractive to detect human emotions using electroencephalography (EEG) brain signals. EEG is a reliable and cost-effective technology used to measure brain activities. This paper proposes an original framework for usability testing based on emotion detection using EEG signals, which can significantly affect software production and user satisfaction. This approach can provide an in-depth understanding of user satisfaction accurately and precisely, making it a valuable tool in software development. The proposed framework includes a recurrent neural network algorithm as a classifier, a feature extraction algorithm based on event-related desynchronization and event-related synchronization analysis, and a new method for selecting EEG sources adaptively for emotion recognition. The framework results are promising, achieving 92.13%, 92.67%, and 92.24% for the valence-arousal-dominance dimensions, respectively.

MILLENNIAL HUMAN CAPITAL DEVELOPMENT STRATEGY MODEL IN IMPROVING BUSINESS PERFORMANCE

Trends in achieving national banking performance in the 2017-2022 period tend to fluctuate. This is evidenced by financial report data that contains performance and financial ratios of national banking with indicators with unstable trends. Creativity, technological advances, superior com-petence and business attitudes to add value proposition to compete in the banking industry are not only related to products and processes, but also related to the company's human capital man-agement and have a positive influence on improving business performance. The research method uses quantitative research with descriptive and verification research types. The research instru-ment used a questionnaire and data analysis techniques to determine the correlative relationship in this study using Partial Least Square. The results of the study show that Business Performance with a dominant dimension, namely Non-Financial Performance, is strongly influenced by the Work Engagement Program with a dominant dimension, namely Organization Commitment and Digital Transformation Implementation with a dominant dimension, namely Value Proposition. The Work Engagement Program is influenced by Millennial Human Capital Development with the dominant dimension namely Internal Integration, which is influenced by the External Environ-ment with the dominant dimension namely Covid-19 Pandemic and the Internal Environment with the dominant dimension namely Human Capital. namely Organization Commitment and Digital Transformation Implementation with a dominant dimension, namely Value Proposition. The Work Engagement Program is influenced by Millennial Human Capital Development with the dominant dimension namely Internal Integration, which is influenced by the External Environ-ment with the dominant dimension namely Covid-19 Pandemic and the Internal Environment with the dominant dimension namely Human Capital. namely Organization Commitment and Digital Transformation Implementation with a dominant dimension, namely Value Proposition. The Work Engagement Program is influenced by Millennial Human Capital Development with the dominant dimension namely Internal Integration, which is influenced by the External Environ-ment with the dominant dimension namely Covid-19 Pandemic and the Internal Environment with the dominant dimension namely Human Capital.

Dampak Kualitas Pelayanan Terhadap Kepuasan Pasien Puskesmas: Studi Literature

Quality of service caused by human resources, facilities, and referrals that are not optimal. This study aims to determine the effect of service quality on patient satisfaction at the Puskesmas. This type of research is quantitative research with associative methods. The population in this study were all visitors who came to the Puskesmas. Sampling was done by purposive sampling technique. The mnumber of samples used in this study were 100 respondents. The data collection technique used was a questionnaire with a Likert scale. The analysis technique was carried out using multiple regression analysis using SPSS. The results of the study show that the tangible dimension has a significant influence on patient satisfaction, the reliable dimension has a significant effect on patient satisfaction, the responsiveness dimension has a significant influence on patient satisfaction, the assurance dimension has a significant influence on patient satisfaction, the empathy dimension has a significant influence on patient satisfaction. The most dominant dimension of influence is tangible, while the lowest is responsiveness. Tangible, reliable, responsiveness, assurance and empathy dimensions simultaneously have a significant influence on patient satisfaction. The results of the study are expected that the management of the Banja Loweh Community Health Center, Fifty Cities District, will further improve service quality, especially on the lowest responsiveness dimension.

Research on emotional polarization mechanism of knowledge community from the perspective of social network structure —An empirical study on ‘Zhihu’ question and answer learning community

Information overload and cocoon effect make the phenomenon of emotional polarization easily appear in online knowledge community. The mechanism of emotional polarization of users in knowledge community is analyzed, so as to reveal the formation rule of users’ emotional polarization in knowledge community and summarize the intervention measures, provide a theoretical basis for further effective control of polarized emotions of knowledge community users. Starting from the theory of social network structure, based on the PAD emotional model, starting from the dimensions of Pleasure, Arousal and Dominance, focusing on the degree of user centrality, an index framework of emotional polarization is constructed around three behavioral patterns of information retrieval, information selection and information interaction. SOR model is used to dynamically explore the polarization mechanism under this framework. The results show that the heterogeneity of social network structure has an effect on participants’ emotional perception and information behavior. The polarization of Pleasure has a positive effect on user centrality, and the polarization of Arousal and Dominance have a negative effect. User centrality positively affects their information selection and interaction behavior, but has no significant effect on retrieval behavior. The emotional polarization in the process of community knowledge sharing is decomposed from different perspectives, and the polarization mechanism is shared by combining social network structure and information behavior. From the perspective of application, this is conducive to promoting knowledge sharing, communication learning and information value chain remodeling, and also provides a kind of insightful analysis paradigm for this field.

John 13:1-20 as an example for Indonesian Bethel Churches in Batam

This study was conducted with the aim of identifying the description of the modelling behaviour of Jesus, as well as expressing views based John 13:1-20 among Indonesia Bethel Churches (IBC) in Batam. The method used was a quantitative descriptive method based upon research entitled "Explanatory and confirmatory studies of correct education based on John 1:1-18 among teachers of Christian religious education in Batam”. The researchers concluded that there are positive aspects that can contribute to teacher/leader/officials progress in the provision of quality Christian education in Batam, and these include: First, from the results of testing the first hypothesis which states that the implementation of the example of the Lord Jesus Christ in ministry based on the Gospel of John 13:1-20, the IBC officials (Y) are in the high category. Second, From the results of the testing of the second hypothesis proposed, the most dominant dimension determining the implementation of the example of the Lord Jesus Christ in ministry based on the Gospel of John 13:1-20 among IBC in Batam Officials is being exemplary in doing God's will (D2). This conclusion can be deduced from the results of the linear regression analysis that the dimension of being Exemplary in Doing God's Will (D2) has the highest determination value, namely 0.934 with a contribution to the endogenous variable of 87.2%. This indicates that the most dominant dimension which determines the Implementation of the example of the Lord Jesus Christ in Ministry Based on the Gospel of John 13:1-20 can totally affect the distribution of scores on the level of implementation of the example provided by the Lord based on the Gospel of John 13:1-20 among Indonesian Bethel Church Officials in Batam City.

Advances in sensory science: From perception to consumer acceptance

Advances in sensory science: From perception to consumer acceptance

Knowledge Sharing Behavior Model of Polytechnic Lecturer

Knowledge sharing is very important for lecturers in implementing the tri dharma of higher education. By sharing knowledge, it will create creative ideas and innovations for lecturers. This study aims to find out how the behavior of sharing knowledge of polytechnic lecturers. Research on the knowledge sharing behavior of polytechnic lecturers has never been carried out. The research sample was 200 lecturers at the first six polytechnics in Indonesia. The behavior of sharing knowledge is seen from three factors: knowledge donating, knowledge collecting, and technology. The data was processed using LISREL 8.80. The results of the research are the dominant dimension in supporting the sharing of lecturers' knowledge. Polytechnics lecturer also tend to collecting more knowledge than share knowledge. This can be due to the lack of motivation of lecturers to share and competition. For this reason, polytechnic university management needs efforts to improve the culture of knowledge sharing among lecturers.

An approximate line attractor in the hypothalamus encodes an aggressive state

The hypothalamus regulates innate social behaviors, including mating and aggression. These behaviors can be evoked by optogenetic stimulation of specific neuronal subpopulations within MPOA and VMHvl, respectively. Here, we perform dynamical systems modeling of population neuronal activity in these nuclei during social behaviors. In VMHvl, unsupervised analysis identified a dominant dimension of neural activity with a large time constant (>50 s), generating an approximate line attractor in neural state space. Progression of the neural trajectory along this attractor was correlated with an escalation of agonistic behavior, suggesting that it may encode a scalable state of aggressiveness. Consistent with this, individual differences in the magnitude of the integration dimension time constant were strongly correlated with differences in aggressiveness. In contrast, approximate line attractors were not observed in MPOA during mating; instead, neurons with fast dynamics were tuned to specific actions. Thus, different hypothalamic nuclei employ distinct neural population codes to represent similar social behaviors.

TC-Net: A Transformer Capsule Network for EEG-based emotion recognition

Deep learning has recently achieved remarkable success in emotion recognition based on Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly used models. However, due to the local feature learning mechanism, CNNs have difficulty in capturing the global contextual information involving temporal domain, frequency domain, intra-channel and inter-channel. In this paper, we propose a Transformer Capsule Network (TC-Net), which mainly contains an EEG Transformer module to extract EEG features and an Emotion Capsule module to refine the features and classify the emotion states. In the EEG Transformer module, EEG signals are partitioned into non-overlapping windows. A Transformer block is adopted to capture global features among different windows, and we propose a novel patch merging strategy named EEG-PatchMerging (EEG-PM) to better extract local features. In the Emotion Capsule module, each channel of the EEG feature maps is encoded into a capsule to better characterize the spatial relationships among multiple features. Experimental results on two popular datasets (i.e., DEAP and DREAMER) demonstrate that the proposed method achieves the state-of-the-art performance in the subject-dependent scenario. Specifically, on DEAP (DREAMER), our TC-Net achieves the average accuracies of 98.76% (98.59%), 98.81% (98.61%) and 98.82% (98.67%) at valence, arousal and dominance dimensions, respectively. Moreover, the proposed TC-Net also shows high effectiveness in multi-state emotion recognition tasks using the popular VA and VAD models. The main limitation of the proposed model is that it tends to obtain relatively low performance in the cross-subject recognition task, which is worthy of further study in the future.

Perceptible sentiment analysis of students' WhatsApp group chats in valence, arousal, and dominance space

Sentiment analysis is a vastly established domain for social media monitoring, feedback insights, and commercial or political campaigns. It allows us to gain an overview of the wider public opinion on certain topics. Nowadays, different social media platforms play a crucial role in web-based sentiment analysis and emotion detection from distinct perspectives. Likewise, WhatsApp is probably the most popular messaging app, allowing users to send messages, images, audio, or videos. However, it is still highly under-explored for any type of linguistic synthesis and analysis. Like many other groups of people, students use WhatsApp for various purposes, even more since the last two years of the pandemic phase, for instance, class communication, study group communication, etc. In this paper, we present a novel approach to analyze the sentiments and emotions of students in valence, arousal, and dominance space by classifying the messages from their WhatsApp group chat. The emotional dimensions of valence, arousal and dominance (VAD) can derive a person’s interest (attraction), level of activation, and perceived level of control for a particular situation from textual communication. We propose a vanilla SVM model fused with a language classifier to calculate each message's sentiment ratings. Finally, using the SVM classifier, we classify the sentiment ratings concerning the degree of the VAD scale. The data were analyzed using a qualitative content analysis method. The results of the study in the form of cumulative sentiment scale and sentiment clustering in VAD space reveal that the students' WhatsApp groups were mostly used for sharing information, exchanging ideas, and discussing issues, with mostly neutral to positive sentiment viewpoints for the provided topics of discussions.

Interpersonal perceptions in treatment sessions: Pathological narcissism predicts self-rater discrepancies.

Evidence suggests that pathological narcissism impacts psychotherapy process and outcome. This study investigates whether traits of pathological narcissism account for distinctiveness (construal) of patients' interpersonal perceptions in treatment settings. Patients enrolled in psychological/psychotherapeutic treatment (N = 150) described a segment of a session in a written format and subsequently assessed both self- and clinician's behavior on the dimensions of dominance and hostility (patient-reported ratings), along with their pathological narcissistic traits. Three independent raters also assessed interpersonal behaviors (observer-reported ratings) based on the written session descriptions. Indices of construal were defined by the residuals of self-reported (net of observer-reported) ratings and were regressed onto pathological narcissistic traits. No association emerged between pathological narcissism and construal in patients' perceptions of their clinicians. However, grandiose traits of pathological narcissism were related to distinctively perceiving oneself as more dominant, while vulnerable traits were related to distinctively perceiving oneself as more hostile. The former association (but not the latter) also held after incorporating additional observer ratings to investigate the robustness of the results. Findings are discussed in light of treatment-related self-enhancement and self-concealment processes.

The Relationship between Teacher Perceptions of Distributed Leadership and Schools as Learning Organizations

This study aimed to identify the relationship between teachers' distributed leadership and perceptions of schools as learning organizations. This study used correlational survey model and made use of correlations to determine the relationship between the two variables. Study population consisted of 600 teachers employed at secondary schools in the central district of Bolu in 2018-2019 academic year. The study was carried out on the population and therefore no sampling was required. Of the 600 scales distributed, 268 were returned and evaluated. The measurement tool used in the research consists of three parts. First part of the scale included demographic characteristics of teachers. The second part included the Distributed Leadership Scale and the third part consisted of the Learning School Scale. Some of the results of the research are as follows: Teachers have high perceptions of learning school and sub-dimensions such as team learning, mental models, shared vision, personal domination and shared leadership. Male and female teachers are similar in learning schools and sub-dimensions of learning in teams, mental models, shared vision and shared leadership perceptions. According to the results of the research, female teachers 'perceptions of personal dominance dimension are higher than male teachers' perceptions. Teachers with different types of in-service participation and project numbers have similar characteristics to the learning school, learning as a team, mental models, shared vision and personal dominance sub-dimensions and shared leadership perceptions. The teachers' perceptions of teachers in schools whose schools have different number of teachers show different characteristics in other dimensions and shared leadership perceptions except for personal dominance dimension.

Fashion or Function

Mass customization has been used in various clothing products including T-shirts, dress shirts, jeans, sports shoes, accessories, etc. However, even though the concept of mass customization has been accepted among scholars and business practitioners, and the application of mass customization has been practiced in the fashion industry for more than two decades, the acceptance among ultimate consumers and the market of MC in the apparel industry has not taken off yet. To this end, this study intends to fill the identified gap through a content mining exploratory qualitative study using customer value theory to evaluate individual consumers' actual customization experiences. Results identified that functional value, self-expressive value, and aesthetic value were derived from menswear customization experiences. Among them, functional value (e.g., quality, fit) is the dominant dimension of value derived from menswear customization experiences, and it determined consumers' overall attitudes toward mass customization of menswear.

Rigidity dimensions of Hochschild extensions of hereditary algebras of type D

Rigidity dimension of algebras is a new homological dimension which measures the quality of resolutions of algebras by algebras of finite global dimension and large dominant dimension. In this paper, we calculate the rigidity dimension of the Hochschild extension of a hereditary algebra H of Dynkin type D n ( n ≥ 4 ) by the standard duality H -bimodule. It turns out that this dimension is independent of n and the orientation of D n .

The valence-dominance model applies to body perception.

First impressions of a person, including social judgements, are often based on appearance. The widely accepted valence-dominance model of face perception (Oosterhof and Todorov 2008 Proc. Natl Acad. Sci. USA 105, 11 087–11 092 (doi:10.1073/pnas.0805664105)) posits that social judgements of faces fall along two orthogonal dimensions: trustworthiness (valence) and dominance. The current study aimed to establish the principal components of social judgements based on the perception of bodies, hypothesizing that these would follow the same dimensions as face perception. Stimuli were black and white photographs showing bodies dressed in grey clothing, standing in their natural posture, in left profile. Raters (N = 237) judged the stimuli on the 14 traits used in Oosterhof and Todorov's original study (Oosterhof and Todorov 2008 Proc. Natl Acad. Sci. USA 105, 11 087–11 092 (doi:10.1073/pnas.0805664105)). Data were analysed using principal component analysis (PCA), as in the original study, with an additional exploratory factor analysis (EFA) using oblique rotation. While PCA produced a third dimension in line with several replications of the original study, results from the EFA produced two dimensions, representing trustworthiness and dominance, providing support for the hypothesis that social perceptions of bodies can be summarized using the valence-dominance model. These two factors could represent universal perceptions we have about people. Future research could explore social judgements of humans based on other stimuli, such as voices or body odour, to evaluate whether the trustworthiness and dominance dimensions are consistent across modalities.

Becoming a sound Ministry of Christ based on Timothy 4:1-16: A case study of Muria Indonesia Christian Church in Jepara District

Realizing the importance of providing the best service for the glory of God by being a good servant of God, the researcher is very interested in conducting this brief study to determine the level of confirmation of being a ‘good servant of Christ’ based on 1 Timothy 4:1-16 among Indonesian Muria Christian Church adherents throughout Jepara Regency, which is the most dominant dimension. Muria Christian Church in Indonesia (Muria Mennonite Christian Church in Indonesia or GKMI which stands for Gereja Kristen Muria Indonesia in Indonesian) is one of three Indonesian church synods which are associates of Mennonite World Conference (MWC). The church has more than 16,000 members living in Java, Bali, Sumatra and Kalimantan. The GKMI grew in Chinese Indonesian communities in the towns around Mount Muria, which is an ancient volcano along the north coast of Central Java. Since 1960 it has spread into other ethnic groups on the four main islands of western Indonesia. This study is contributing to the dominant background shape relating to the confirmation of the Indonesian Muria Christian Church in Jepara Regency as being good servants of Christ based on 1 Timothy 4:1-16.