Aspect Of Novelty Research Articles

PsyneuroNet architecture for multi-class prediction of neurological disorders

Early detection and diagnosis of psychiatric disorders are crucial for timely intervention, improved treatment outcomes, and preventing complications. The purpose of this study is to use artificial intelligence methods to diagnose symptoms of psychiatric conditions such as depression, schizophrenia, sleep disorder, and Alzheimer’s disease in epileptic patients using EEG data. The research uses a cross-validation procedure with ten iterations and looks at three data sets: the CHB-MIT dataset with EEG recordings from neonatal subjects, the DEAP dataset containing physiological signals and emotional ratings, and the OpenNeuro dataset containing multichannel EEG. Preprocessing involves dividing the EEG signals into five brain wave frequency components and applying filtering techniques for further analysis. We introduce a novel architecture called PsyneuroNet, which aims to improve feature extraction and prediction accuracy for real-time psychiatric disorder recognition and integrates three key components: cross-normalization across convolution, a bidirectional long-short-term memory network (Bi-LSTM), and an enhanced intuition-based convolutional neural network (ICNN). The proposed methodology is evaluated based on the 99.65% prediction accuracy achieved on the CHB-MIT dataset, the 97.27% prediction accuracy achieved on the DEAP dataset, and the 98.08% prediction accuracy achieved on the OpenNeuro dataset for prediction problems. The proposed method outperforms the state-of-the-art approaches in terms of accuracy by 3.64%, with a sensitivity of 99.65%, a specificity of 99.75%, and a very low false positive rate per hour (FPR/h) of 0.3%, all achieved by using ten folds cross-validation. The PsyneuroNet’s capability to classify a diverse range of neurological disorders within a single architecture is noteworthy. This versatility makes the model suitable for addressing a broad spectrum of clinical scenarios. The model’s ability to generalize effectively to unseen data, as demonstrated by testing its performance on the DEAP and OpenNeuro datasets after training on CHB-MIT data, is a significant aspect of novelty.

Experimental study of a temperature measurement system for an overhead power line using sensors based on TFBG

This article presents the use of an inclined fiber sensor Bragg grid to control the extension of wires in overhead lines. An aspect of the technological novelty of the project is the development of an innovative optoelectronic system for monitoring and diagnosing the condition of building structures based on a combination of conventional Bragg gratings. The lighting power sensor is installed directly on the controlled transmission of the power line in the form of fittings with a copper plate. A photosensitive multimode optical fiber is attached to the copper plate, at the end of which an inclined fiber Bragg grating is fixed, connected to a multimode optical fiber using a fiber-optic connector through an optical connector. An ultraviolet excimer laser and a light power detector are connected to a fiber-optic connector. The study showed that by selecting the appropriate mechanical parameters of the extension transformer, taking into account the optical parameters of the sensor, and using a special filter, the optical-mechanical system can be configured in the required range to control the sagging of the overhead line wire. During measurements to simulate the operation of a power line wire, the temperature was forced to vary in the range of 10-60°C. This led to the lengthening of the test wire from 38.987 m to 49.275 m; the error was within 4%. The deflection range depends on the distance between the supports, the type of wire, and its actual length in the span, which actually determines the deflection.

The Humour and Novelty of Congwayndut Puppet Group: An Overview of Performance Studies

As a dynamic cultural event, the contemporary art of the Congwayndut group is always produced with a unique dramaturgy, contemporary and innovative setting. Congwayndut provides a sense of humour with an all-ages segmentation to entertain audiences. Regarding to the case, this paper attempts to examine performance studies through the use of performance studies reading schemes, social drama theory, and trickster in cultural practice. Through the "abnormality" of the Congwayndut perfomance, the research shows three findings namely the categorisation of stage attacks, subsidised cross-performances, and pure performances. This performance is executed with flexibility which indicating a novelty. Planning or the performance strategy that set in back stage can be different when it has been on the stage. The improvisation even provides the aesthetics of its puppet performance. The key aspect of humour and novelty in the Congwayndut is positioned at the role strategy of entul and trickster. This is very crucial in bringing the atmosphere of the performance to life, sowing the messages of the performance, and fostering a renewed image of contemporary puppet performance that is attractive to all levels of society.

New Developments on the Theory of Third-Order Differential Superordination Involving Gaussian Hypergeometric Function

The present research aims to present new results regarding the fundamental problem of providing sufficient conditions for finding the best subordinant of a third-order differential superordination. A theorem revealing such conditions is first proved in a general context. As another aspect of novelty, the best subordinant is determined using the results of the first theorem for a third-order differential superordination involving the Gaussian hypergeometric function. Next, by applying the results obtained in the first proved theorem, the focus is shifted to proving the conditions for knowing the best subordinant of a particular third-order differential superordination. Such conditions are determined involving the properties of the subordination chains. This study is completed by providing means for determining the best subordinant for a particular third-order differential superordination involving convex functions. In a corollary, the conditions obtained are adapted to the special case when the convex functions involved have a more simple form.

Development of a green process based on a novel tri-reforming reactor to produce syngas for methanol synthesis: Process Design, Modeling and Multi objective optimization

In this study, a clean and energy-efficient reforming process is introduced that can act as a promising alternative to the conventional reforming process for syngas production used in methanol synthesis process. In this proposed configuration, a pre-reformer is combined with a novel tri-reformer consisting of a combustion chamber and a catalytic bed. The combustion chamber was simulated using the CHEMKIN package incorporating GRI3.0 as a comprehensive mechanism and the catalytic bed was modeled by a heterogeneous plug flow model. A multi-objective optimization model was used to explore operational conditions of the proposed process to optimize CH4 conversion, H2 yield, and CO2 net production. Hence, the other aspect of novelty in this study deals with the use of a new methodology for multi-objective optimization of this process. This methodology is the first to integrate the CHEMKIN package and MATLAB software that leads to a higher degree of accuracy and comprehensiveness. The mathematical model of the conventional process was also developed and the favorable comparison between the performances of both processes was studied. The results indicate that eliminating a steam reformer in the novel configuration, not only reduces toxic emissions and the need for a large quantity of energy, but it also significantly decreases the required value of H2O/CH4 ratio. Therefore, the steam content of the process gas is reduced and energy efficiency is improved. Analyzing the characteristics of the synthesis gas produced by the studied cases results, that the proposed case produces a synthesis gas with higher quality (SN = 2 and a higher CO/CO2 ratio) while substantially reducing energy consumption as well as toxic emissions production.

New Applications of Gaussian Hypergeometric Function for Developments on Third-Order Differential Subordinations

The main objective of this paper is to present classical second-order differential subordination knowledge extended in this study to include new results regarding third-order differential subordinations. The focus of this study is on the main problems examined by differential subordination theory. Hence, the new results obtained here reveal techniques for identifying dominants and the best dominant of certain third-order differential subordinations. Another aspect of novelty is the new application of the Gaussian hypergeometric function. Novel third-order differential subordination results are obtained using the best dominant provided by the theorems and the operator previously defined as Gaussian hypergeometric function’s fractional integral. The research investigation is concluded by giving an example of how the results can be implemented.

Social Commerce Investigation: The Role of Satisfaction and Loyalty on Repurchase Intention

This study aims to find evidence of the effect of satisfaction and loyalty on repurchase intentions in social commerce through social exchange theory. This research focuses on five variables: reputation, information quality, satisfaction, loyalty, and repurchase intention. This research is motivated by satisfaction, which is not optimal in shaping repurchase intentions. Loyalty is an aspect of novelty in this research. The research method used is a quantitative approach. Data collection techniques support this research through online questionnaires. The data used in this study are primary as many as 219 respondents. Data processing analysis uses the Structural Equation Modeling (SEM) method and is supported by SPSS 25 and IBM AMOS 22 software. This study's results indicate that satisfaction significantly affects loyalty and repurchase intentions in social commerce. The results also found that loyalty has no significant effect on repurchase intentions. Satisfaction is an important factor for a user to have the intention to repurchase in the same place. A good reputation and quality information social commerce provides influence this.

Social Commerce Investigation: The Role of Satisfaction and Loyalty on Repurchase Intention

This study aims to find evidence of the effect of satisfaction and loyalty on repurchase intentions in social commerce through social exchange theory. This research focuses on five variables: reputation, information quality, satisfaction, loyalty, and repurchase intention. This research is motivated by satisfaction, which is not optimal in shaping repurchase intentions. Loyalty is an aspect of novelty in this research. The research method used is a quantitative approach. Data collection techniques support this research through online questionnaires. The data used in this study are primary as many as 219 respondents. Data processing analysis uses the Structural Equation Modeling (SEM) method and is supported by SPSS 25 and IBM AMOS 22 software. This study's results indicate that satisfaction significantly affects loyalty and repurchase intentions in social commerce. The results also found that loyalty has no significant effect on repurchase intentions. Satisfaction is an important factor for a user to have the intention to repurchase in the same place. A good reputation and quality information social commerce provides influence this.

ANALYSIS TEACHER IN STUDENTS' CREATIVE THINKING ABILITY THROUGH PROBLEM SUBMITTING

One of the problems in learning is the low ability of students to solve problems (story questions), especially non-routine or open-ended questions. This is due, in part, to students' weaknesses in aspects of creative thinking skills needed to solve problems. To overcome this, appropriate learning is needed, one of which is learning by proposing problems (Problem Posing). Problem posing is an activity task that leads to a critical and creative attitude. Critical thinking skills must be possessed by students in order to be able to face various personal and social problems in their lives. Critical thinking ability is the ability to think reflectively and reason in making decisions. This research is a qualitative descriptive study with the aim of describing students' abilities in constructing critical thinking. The results of this study indicate that not all aspects of creative thinking ability increase, especially flexibility in solving problems. But for the aspect of understanding problem information, novelty and fluency in answering questions has increased. Other results show that the ability to solve problems and pose problems has progressed/increased.

Design of compact two‐port dual‐band dual‐polarized MIMO antenna for CBRS and WLAN sub‐6‐GHz applications

SummaryThis communication presents a compact field de‐correlation lines integrated dual band with dual‐polarized (LP & CP) multiple‐input multiple‐output (MIMO) antenna for the fifth generation (5G) sub‐6‐GHz wireless communication systems. Dual working bandwidths, smaller interelement gaps, and superior isolation within the MIMO components are the distinguishing characteristics that give the proposed MIMO system an aspect of novelty. The modeled MIMO antenna has compact configurations of 20 × 21 × 0.8 mm3. The unit cell consists of a microstrip feed line with optimized rectangular slots branches etched from the radiated patch. The MIMO module is generated by the antiparallel replication of a single unit cell. To enhance the isolation, two rectangular slots are incorporated on the patch between the unit elements, which act as field de‐correlation lines. The MIMO identity is supported by diversity performance calculations in terms of ECC, DG, and TARC. Simulated and measured counterparts are found in the agreement.

DEVELOPMENT AND EFFICIENCY OF PAVEMENT MANAGEMENT SYSTEMS (PMS)

The article discusses an important aspect of modern transportation management – the development of Pavement Management Systems (PMS). It analyzes the evolution of PMS, its key components, their role in ensuring the quality and durability of road pavement, as well as the latest trends and innovations in this field. The perspectives of PMS development in the future and their impact on ensuring proper maintenance of the road network are highlighted. Scientific novelty and practical significance. A reasonable and detailed analysis of the history of the development of road surface management systems (PMS) was performed. The main aspect of scientific novelty is a thorough study of the evolution of these systems at the international level, which allows identifying key trends and periods of their development. The international experience of countries using these systems was studied.

The graded novelty encoding task: Novelty gradually improves recognition of visual stimuli under incidental learning conditions

It has been argued that novel compared to familiar stimuli are preferentially encoded into memory. Nevertheless, treating novelty as a categorical variable in experimental research is considered simplistic. We highlight the dimensional aspect of novelty and propose an experimental design that manipulates novelty continuously. We created the Graded Novelty Encoding Task (GNET), in which the difference between stimuli (i.e. novelty) is parametrically manipulated, paving the way for quantitative models of novelty processing. We designed an algorithm which generates visual stimuli by placing colored shapes in a grid. During the familiarization phase of the task, we repeatedly presented five pictures to the participants. In a subsequent incidental learning phase, participants were asked to differentiate between the “familiars” and novel images that varied in the degree of difference to the familiarized pictures (i.e. novelty). Finally, participants completed a surprise recognition memory test, where the novel stimuli from the previous phase were interspersed with distractors with similar difference characteristics. We numerically expressed the differences between the stimuli to compute a dimensional indicator of novelty and assessed whether it predicted recognition memory performance. Based on previous studies showing the beneficial effect of novelty on memory formation, we hypothesized that the more novel a given picture was, the better subsequent recognition performance participants would demonstrate. Our hypothesis was confirmed: recognition performance was higher for more novel stimuli. The GNET captures the continuous nature of novelty, and it may be useful in future studies that examine the behavioral and neurocognitive aspects of novelty processing.

The Role of the Environmental Sphere in Factors Affecting Performance and in Performance Dimensions in the Utility Sector: A Literature Review

Considering the environmental impacts of utility activities and the lack of literature systematic understanding of the different factors affecting utility performance with a specific consideration of the environmental sphere, this article tries to bridge this gap conducting a literature review on factors affecting utility performance. An aspect of novelty of the paper is represented by the clusterization of literature (also useful for future studies) that considers the environmental sphere both among factors of influence and as performance dimensions. The analysis conducts to conclude that both as influencing factors and as performance dimensions, the environmental role should be more widely and deeply investigated by literature. The research highlights some managerial implications: the appointment of managers should consider their “green skills” as factor influencing performance of the utilities; the need to develop managerial tools to make the decision-making process effective and efficient also in the environmental sphere.

The Impact of Awareness, Lifestyle and Halal Certification on The Buying Interests of MSME’s Halal Food Products in DKI Jakarta

The research aims to explain the impact of awareness, lifestyle, and halal certification on people’s buying interest in MSME’s halal food products in DKI Jakarta Province. To the best of researchers’ knowledge based on the previous articles, there are no research titles that discuss the three variables simultaneously regarding the influence on the buying interest. Therefore, this research has some aspect of novelty compared to previous studies. Quantitative method is used for research methods that refer to numerical data. The subjects for this research are 150 consumers of MSME’s halal food products in the DKI Jakarta Province. Primary data collection is used as a technical data collection. Primary data was acquired from the distribution of questionnaires to MSME halal food consumers. Meanwhile, the data analysis techniques used were descriptive statistical analysis, classical assumptions, multiple linear regression, and hypothesis. The findings of this study among the three variables are used, two only have a significant influence on the buying interest whereas the three variables together have a significant influence on the buying interest of MSME products. To increase the buying interest of halal food products for MSMEs in DKI Jakarta, factors that can be considered important are halal awareness and halal lifestyle, because both have a significant impact on the buying interest. This can be interpreted if the two variables are increase it will also increase the buying interest of MSME’s halal food products in DKI Jakarta. On the other hand, if the three variables are considered simultaneously it will have a significant influence on buying interest.

Sustainability reporting in justice systems: a comparative research in two European countries

Purpose That on accountability in public organizations is quite an old debate. Its introduction in judicial systems is, however, still viewed with some suspicion, due to its potential trade-off with independence and impartiality. Nevertheless, the need to respond to the demands for greater transparency and accountability has also pushed judicial organizations to establish a dialogue with a wide range of subjects. This study aims to explore the understanding and the current practices of sustainability reporting currently in place in judicial systems. Design/methodology/approach The study adopts a comparative approach, conducting an online survey in two European countries (Italy and Poland). The survey was built around the research questions and literature and administered between February and March 2020. Specifically, 804 courts were involved, of which 430 are in Italy and 374 in Poland. Findings Findings show that the current practices are still not widespread and there is still a lack of understanding of what sustainability reporting is, and therefore, of what its potential usefulness within the courts could be. Moreover, many differences between the two countries are pointed out, so it is possible to assume that the different cultural and institutional settings influence sustainability reporting practices. Finally, some interesting implications for policymakers are provided. Originality/value Judicial organizations are still poorly investigated in the literature, despite being at the center of a wide public and political debate. Moreover, the international comparative perspective adopted constitutes a further aspect of novelty.

Воображаемая новизна и ее утверждение в культуре

The study of novelty as a cultural phenomenon presupposes the formulation and solution of the problem in the ultimate interpretation, as an unbiased description of its appearance on a defined territory, reducing it to preestablished principles that explain novelty as certainty and stability. This means understanding the phenomenal limit-the novelty goes to infinity and shimmers in the vastness of being, appears to the inquisitive mind in the form of original discoveries and imaginary worlds. Novelty is revealed as the opening potency of being with the possibilities that have appeared – the reversal of events that are its direct implementation. The formulation of the novelty problem immediately confronts the initial contradiction and the difficulty of solving it. Imaginary novelty compensates for the unavailability of a material analog-it fills the voids of being and presence with its creations. Imaginary novelty carries the desired illusions that inspire the enthusiast, but under the cover of dreams, the real novelty of being grows. The paper suggests the related concepts: imaginative, imaginary, quasi-objective for the expansion of the intellectual landscape of the field of culture. In the aspect of novelty, the imaginary appears as an outstripping development of the presence, its separation from being and self-active bifurcation, the desire for a new material embodiment – the production of added being.

UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring

The visualization and detection of anomalies (outliers) are of crucial importance to many fields, particularly cybersecurity. Several approaches have been proposed in these fields, yet to the best of our knowledge, none of them has fulfilled both objectives, simultaneously or cooperatively, in one coherent framework. The visualization methods of these approaches were introduced for explaining the output of a detection algorithm, not for data exploration that facilitates a standalone visual detection. This is our point of departure: UN-AVOIDS, an unsupervised and nonparametric approach for both visualization (a human process) and detection (an algorithmic process) of outliers, that assigns invariant anomalous scores (normalized to $[0,1]$), rather than hard binary-decision. The main aspect of novelty of UN-AVOIDS is that it transforms data into a new space, which is introduced in this paper as neighborhood cumulative density function (NCDF), in which both visualization and detection are carried out. In this space, outliers are remarkably visually distinguishable, and therefore the anomaly scores assigned by the detection algorithm achieved a high area under the ROC curve (AUC). We assessed UN-AVOIDS on both simulated and two recently published cybersecurity datasets, and compared it to three of the most successful anomaly detection methods: LOF, IF, and FABOD. In terms of AUC, UN-AVOIDS was almost an overall winner. The article concludes by providing a preview of new theoretical and practical avenues for UN-AVOIDS. Among them is designing a visualization aided anomaly detection (VAAD), a type of software that aids analysts by providing UN-AVOIDS' detection algorithm (running in a back engine), NCDF visualization space (rendered to plots), along with other conventional methods of visualization in the original feature space, all of which are linked in one interactive environment.

Soviet Musical Avant-Garde in the Context of Time (in the mid. 1950s – 1980s): Historical and Cultural Studies and Philosophical Aspects

Introduction. Interest in the work of avant-garde artists does not wane as they move away from the 20th century. This is due to the fact that the musical avant-garde, becoming a sign of the time, reflected the most important trends of the outgoing era. In the paper, the Soviet musical avant-garde is considered in the historical, cultural and philosophical aspect in the context of the historical era, which determines the novelty of the study. An aspect of novelty is the analysis of music as a sphere of intercultural communication.Methodology and sources. The research methodology is based on the analysis of sources and literature, taking into account interdisciplinary approaches. A special role in the understanding of the theoretical aspects of the problem play the work of musicologists Yu. N. Kholopova, V. N. Kholopova, V. S. Price, R. L. Pospelova, A. I. Demchenko. Among the sources highlighted in cinema, photo- and phonodocuments, which depicts a vivid image of the era. The interviews with composers, which presents a wide canvas of social and musical life (A. Schnittke, A. Ivashkina entry and volkonskii, recording E. Dubinets) are of considerable interest. Historical, comparative, systematic and semiotic methods of analysis were used. Applies a comprehensive approach (formation and civilization methods of research and the Annales school). This allows for a new approach to the historical era of the middle1950s – 1980s.Results and discussion. Postwar culture is examined as a single space, in which a special role was played by the impulses of the “thaw”. They gave cultural phenomena such inertial dynamics, which preserves the spiritual maturity of society and produced changes of the 1990s, the results of the study show that in contrast to the political and socio-economic processes, cultural life in these years continued to feel the pulses of the “thaw”. Retaining the inertial dynamics of development, cultural processes have been far from stagnation, which casts doubt on the overall rating this time as the “era of stagnation”. This allows you to put a discussion question on the revision of the political clichés in relation to the period of the middle 1960s – 1980s in the Soviet Union as the “era of stagnation”.Conclusion. Soviet avant-garde, expressing the spirit of the time, represents the unique phenomenon in which reflected global trends, and the uniqueness of national culture. Experience avant-garde shows that cultural processes of the epoch middle 1950s – 1980s had a high development dynamics. The study of this period, especially in its spiritual sphere, requires interdisciplinary approaches and the use of modern, including foreign methods. Interest methods of the Annales school in its historical retrospect and the “new cultural history”.

Double Trouble: Visual and Phonological Impairments in English Dyslexic Readers.

Developmental dyslexia is a reading disorder characterized by problems in accurate or fluent reading. A deficiency in phonological processing is thought to underpin the reading difficulties of individuals with developmental dyslexia and a variety of explanations have been proposed including deficits in phonological awareness and verbal memory. Recent investigations have begun to suggest that developmental deficits in the acquisition of reading may also co-occur with visual processing deficits, which are particularly salient for visually complex stimuli, yet these deficits have received relatively little attention from researchers. To further explore the nature of phonological and visual processing in developmental dyslexia, we administered a series of non-reading tasks tapping both domains. Unsurprisingly, individuals with developmental dyslexia performed worse than typically developing readers in phonological tasks. More intriguingly, they also struggled with visual tasks, specifically when discriminating between novel visual patterns, and in visuo-spatial working memory, which requires greater attentional control. These findings highlight that individuals with developmental dyslexia present not only with phonological impairments but also difficulties in processing visual materials. This aspect has received limited attention in previous literature and represents an aspect of novelty of this study. The dual phonological and visual impairments suggest that developmental dyslexia is a complex disorder characterized by deficits in different cognitive mechanisms that underpin reading.

Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data.

Minimally-invasive continuous glucose monitoring (CGM) sensors are used in diabetes therapy to monitor interstitial glucose (IG) concentration almost continuously (e.g. every 5 min) and detect/predict dangerous hypo/hyperglycemic episodes. When compared with frequent blood glucose (BG) concentration references, CGM measurements are unavoidably affected by error. Models of the CGM error can be important in several applications, e.g. for testing in simulation the safety and effectiveness of CGM-based artificial pancreas algorithms. In this work, we model the error of the Dexcom G6, a CGM sensor that recently entered the market and does not require in vivo calibrations. The dataset includes CGM and BG data collected in 11 subjects wearing two Dexcom G6 sensors in parallel. The model is derived applying a methodology to dissect and model 3 main CGM error components: BG-to-IG kinetics, calibration error and measurement noise. An aspect of novelty of the method is its capability of handling factory-calibrated CGM sensor data. Results of model identification show that the time-variability of sensor calibration error during the sensor lifetime (10 days) can be well represented by a regression model with time-variant parameters described by 2nd-order polynomials in time.