Adaptive Concept Research Articles

Characteristics of sublittoral vegetation in the northwestern Okhotsk Sea based on the concept of adaptive zone

Sublittoral vegetation in the northwestern Okhotsk Sea is described on the data of diving survey in 2020 and some additional data obtained from 2003 to 2022. Five macroalgae associations (Saccharinetum latissimae, Pseudolessonietum laminarioidae, Alarietum esculentae, Sargassetum miyabeae, and Zosteretum marinae) and one group of red algae communities are identified and classified into 5 alliances, 3 orders and 3 classes. All these associations occur over entire area (from 56º to 59º N), within almost whole range of the surveyed depths (2–11 m), and occupy a total of 88 % of the vegetation cover, with statistically uniform distribution. Coenofloras of the associations are poor: up to 5–6 species or multispecies groups have been noted in every association. The concept of an adaptive zone is proposed as an optimal methodological basis for describing marine sublittoral plant communities in the temperate zone. The sublittoral associations in the study area are considered as elementary Petersen-type communities with on average ¾ of the bottom cover and biomass formed by the main dominant species. These associations and higher syntaxa can be built into the most common floristic system of syntaxonomic classification. The adaptive zone concept allows to solve the problem of subjectivism in selection of syntaxa, so the syntaxonomy becomes closer to natural classification with ecological meaning. Successful applicability of the adaptive zone concept for the algae resources assessment is proven; the stock in the surveyed area of 64 km2 is evaluated as 200 . 103 t.

Development and Use of Biotechnological System Models in Applied Scientific Research

The paper highlights the difficulties of functioning in multi-parameter systems due to the diverse nature of their link connections. The paper examines a specific case of an «operator-machine-animal» biotechnological system employed in the context of machine milking operations. The system includes three subsystems: two of them have a biological nature and exhibit probabilistic behavior, while the milking machine, serving as a connecting element with inanimate characteristics, is to be regarded as a deterministic technical subsystem. (Research purpose) The research aims to substantiate the conceptual approach to the functioning of an «operator-machine-animal» biotechnical system, taking into account the subsystem interaction patterns. (Materials and methods) The paper explores the conditions governing the operation of biotechnical systems characterized by inherent randomness (in the probabilistic-statistical sense). It was determined that the operation of such a system is influenced by a significantly greater number of factors compared to the «man-machine» system. The biotechnical system as a whole remains stochastic, while its control algorithms maintain a probabilistic nature. The study was conducted by assessing the results obtained through statistical analysis of experimental data, employing methods and techniques of mathematical modeling for technological processes, and exploring key avenues for the development of intelligent digital technologies. (Results and discussion) The utilization of adaptive control principles ensures a high probability of successfully attaining the ultimate objectives. A model for an «operator-machine-animal» system functioning has been developed. The rationale for the efficacy of the interaction between the «machine» and «animal» subsystems is illustrated through the case study of the DeLaval™ DelPro MU480 linear milking machine. A block scheme for the «operator-machine» control system was developed. The performance of the machine milking operator was assessed. A mathematical model detailing the operator's errors was outlined. Criteria for ensuring the operational reliability of the «operator-machine» system were introduced. (Conclusions) The efficiency of a multiply connected biotechnical system is constrained by the zone of maximum adaptation. A mathematical model is provided to describe the functioning of a machine milking operator. The professional stability of an operator, acting as an adaptive and stochastic component, depends on individual attributes and working conditions that need statistical evaluation. The adaptation concept is indicated as a promising area of research. Engineering decisions about the cow milking process are to be based on practical insights into animal ethology, formalized through logical-linguistic models.

Local Government Resonance on Disaster Potential Issues

Ring of fire that surround Indonesia from east to the west made this country become potential vulnerable to various types of natural disasters, Morowali is a district located in central sulawesi province that one of a disaster-prone area. It is traversed by the Matano fault which connected to Palu Koro fault which is a fault with approximately 8 mm active movement per year. This study aims to see how far the local government of Morowali responds to the issue of potential disasters, consider that Morowali district is one of the areas designated by the state government as a special economic zone. This study using an exploratory case study that does not see phenomena only from problems but also in the form of social activities, groups, and organization. Niklas Luhmann's concept of resonance is the main reference in describes the interconnection between systems and the environment. Research data obtained using in-depth interviews, focus group discussions, and field observations. The informants in this study were executive and legislative board. The results show that the executive and legislative response to the issue of potential natural disasters shows the resonant capacity of two functional systems politics and economics are weak, which shows that the government's system should encourage the concept of proactive adaptation to strengthen its response to the existing potential disasters and create security for the Morowali community.

A novel ultra-short-term wind power prediction model jointly driven by multiple algorithm optimization and adaptive selection

Ultrashort-term wind power forecasting with great precision and robustness is essential for improving power quality and reliability management and reducing the cost of rotating backup supply, thus guaranteeing the security and stability of power systems in large-scale grid-connected wind power. This study proposed a novel ultra-short-term wind power prediction model jointly driven by multiple algorithm optimization and adaptive selection. The original wind power sequence is decomposed into smooth subsequences by the optimized variational mode decomposition algorithm. Each sequence is predicted in advance by two outstanding prediction methods. The method with high accuracy is automatically selected for the prediction output of that sequence. The two excellent models are least square support vector machine optimized by improved whale optimization algorithm and hybrid kernel extreme learning machine optimized by sine cosine search-sparrow search algorithm, improving the prediction accuracy and efficiency. Based on three publicly available datasets, the proposed model has more than 41 % percent improvement in root mean square error compared to the current studies and about 20 % percent improvement in root mean square error compared to the proposed models without selection strategy. Combined with the adaptive selection concept, the proposed prediction model can obtain more accurate wind power prediction results with higher prediction accuracy, more substantial prediction generalization, and robustness.

Initial adaptation among university student: The case of the social sciences

Students’ academic and social adaptation is linked to factors such as their initial study motivations, the atmosphere of the academic environment and their perception of academic wellbeing. This paper analyses the initial adaptation of first-degree students in their first semester through a quantitative ex post facto study with a descriptive-exploratory approach, using a questionnaire as the information-gathering instrument. Findings shed light on the concept of initial adaptation itself (through the creation of an index) and validate the study of the construct through three factors: initial motivation, the academic environment and perception of academic wellbeing. Also, the influence on initial adaptation of the academic and social context of the degree course taken is demonstrated:, as the constitutive features of the degree contribute information predicting how students will integrate into the institution. Therefore, it is suggested that institutional means and actions should be designed and put in place in accordance with measurements that indicate how students function best in a specific context (the bachelor’s degree), in order to boost motivation and the perception of academic wellbeing.

NeoHada: Adaptive Urban Building based on Solar-Piezoelectric and Rooftop Farming to Realize Resilient Cities in Preventing Floods and Food Crises

Urban development, driven by increasing population density, significantly impacts the physical environment, leading to issues such as flooding, food crises, and energy shortages. In response to these challenges, particularly in the context of urban flooding in Indonesia, the implementing team proposes the NeoHada solution. NeoHada is an adaptive design concept that integrates Solar-Piezoelectric technology and Rooftop Farming to create resilient and sustainable cities. This concept is based on three key principles: Climatic Architecture, Energetic Architecture, and Productive Architecture. The principle of Climatic Architecture is implemented through a Rain Harvesting System, where building rooftops serve as rainwater reservoirs to prevent flooding and provide an alternative water source. The Energetic Architecture principle combines solar panels and piezoelectric technology to generate independent electrical energy, alternating between rainy and dry seasons. The Productive Architecture principle emphasizes the development of rooftop farming as a means of achieving urban food self-sufficiency. The NeoHada solution is expected to realize the Sustainable Development Goals (SDGs) related to Zero Hunger, Clean Water and Sanitation, Affordable and Clean Energy, Sustainable Cities and Communities, and Climate Action. By integrating innovative technology and adaptive design, NeoHada aims to mitigate the negative impacts of urban growth and promote city resilience against various disaster and crisis scenarios. It is hoped that this solution will serve as a guide for the development of cities in Indonesia towards sustainable sustainability.

PENERAPAN KEBIJAKAN E-GOVERNMENT SISTEM APLIKASI E-KINERJA BERBASIS WEB DI LINGKUNGAN PEMERINTAH KABUPATEN MUKOMUKO

The purpose of this study is to find out how E-Government policy issues through the web-based E-performance application system in the Mukomuko Regency government environment. This research uses qualitative descriptive research and data collection through observation, interviews, and documentation, with the intention of being able to objectively describe facts and phenomena that are research problems. The results showed that the issue of E-Government policy through the implementation of a web-based E-performance application system in the Mukomuko Regency government environment has not been going well. This is because there are still shortcomings in the E-performance application system used and several inhibitory factors found. The limitations of research specifically only address e-government policy issues through the implementation of a web-based E-performance application system in mukomuko regency. This research can be used as a reference for innovation and policy development in the field of E-government through the concept of innovation adaptation.

Social‐ecological systems approach for adaptation to climate change

AbstractAdaptation to climate change has become part of national development programs (e.g., National Adaptation Planning). Though communities are adapting to climate change across the world, this perspective argues that understanding social and ecological systems requires greater attention to enhance resilience for achieving and moving beyond the Sustainable Development Goals (SDGs) in response to climate change across the world. In addition, based on a systematic literature review, this perspective identifies key research gaps and addresses relevant key challenges and future research direction for social and ecological systems (SES) adaptation to climate change. Ultimately, this may also help move from the existing limits to adaptation (intolerable risks through adaptive actions) concept to social‐ecological limits to adaptation and offers an opportunity to integrate adaptation to climate change in development planning by considering both SES.

Pendekatan Highest and Best Use dalam Pelestarian Bangunan Bersejarah

<p>The concept of "Highest and Best Use" (HBU) refers to the optimal utilization of a property that would result in the highest value or benefit. In the context of a heritage building, which conceives historical or cultural significance, adaptive reuse concept becomes particularly relevant. Adaptive reuse involves repurposing a heritage building, such as a former factory building, for a new function that aligns with its historical and architectural characteristics. This approach allows for the preservation of the building's heritage value while also meeting contemporary needs and promoting sustainable development. This study examined the incorporation of HBU features in the three conversions of historical former factory buildings into tourist attractions, namely De Tjolomadoe, Rumah Atsiri, and The Heritage Palace. This study utilized four dimensions of HBU—the legal, physical, financial, and the maximum production dimension—to evaluate the three previous cases that employed adaptive reuse strategies. Results indicated that De Tjolomadoe serves as a noteworthy illustration of the effective implementation of HBU in renovating historical buildings, as evidenced by its achievements.</p>

The Acculturation and Adaptation of Syrian Refugee Students: A Systematic Review of the Literature

In the contemporary landscape, we confront the global refugee crisis, a complex phenomenon rooted in a confluence of political, economic, and social factors. Refugees are compelled to immerse themselves in unfamiliar cultures, often markedly distinct from their places of origin. As they navigate the intricacies of integrating into novel social and cultural milieus, the concepts of acculturation and adaptation assume paramount significance, particularly within the sphere of education. The primary objective of our review paper is to provide a meticulous and systematic examination of academic studies undertaken to illuminate the experiences and outcomes of the acculturation and adaptation processes among Syrian refugee students in Turkey. To accomplish this, we conducted comprehensive keyword searches across ten English-language databases and three Turkish-language databases. In the initial sweep of the literature, we identified a total of 591 pertinent studies. Subsequently, following rigorous scrutiny, we selected and included 14 full-text articles, authored in both English and Turkish, spanning the period from 2011 to 2022, for our analysis. These fourteen articles were assessed and reported in accordance with the PRISMA criteria. Our analysis of the available sources revealed that language proficiency emerged as the most pivotal variable influencing educational outcomes and adaptation to the host culture. Indeed, our findings underscore the pivotal role that educational institutions play in facilitating the acculturation and adaptation of Syrian refugee students.

Специфика конструирования этнической идентичности в межкультурном дискурсе (к вопросу о лингвокультурной адаптации средневекового автора «Хожения за три моря Афанасия Никитина»)

The article is devoted to the consideration of a previously unexplored aspect: the monument of medieval culture “Walking across the Three Seas of Afanasy Nikitin” will be considered in the focus of text-creation strategies of autobiographical discourse, the events of which represent the ethnic identity of the author. This article describes the text-generating strategies of the ethnic identity of a medieval author who lived in the East for several years and partially mastered the language of a “foreign” culture for him from the standpoint of the anthropological approach in linguistics, methods of semiotics and discourse analysis. The study includes such research parameters, as well as characteristics of the phenomenon of ethnic identity, as the linguistic picture of the world, the author’s discursive strategies, his self-consciousness in the context of acculturation (secondary socialization) and inculturation (symbolization of “foreign” culture). The study confirmed the model of ethno-cultural hybridization of cultures, dating back to the concept of M. Bakhtin. Based on the analysis of the specifics of the linguistic portrait in the autobiographical narrative of merchant Afanasy Nikitin and the description of cultural associations, archetypal images and meanings in the linguistic picture of the medieval author of the XV century. The theoretical significance of this study lies in the proposal of the concept of linguistic and cultural adaptation, which makes it possible to identify the conditions for successful socialization of the individual and productive as a strategy for the study of the phenomenon of identity.

Multi-Cat Monitoring System Based on Concept Drift Adaptive Machine Learning Architecture

In multi-cat households, monitoring individual cats’ various behaviors is essential for diagnosing their health and ensuring their well-being. This study focuses on the defecation and urination activities of cats, and introduces an adaptive cat identification architecture based on deep learning (DL) and machine learning (ML) methods. The architecture comprises an object detector and a classification module, with the primary focus on the design of the classification component. The DL object detection algorithm, YOLOv4, is used for the cat object detector, with the convolutional neural network, EfficientNetV2, serving as the backbone for our feature extractor in identity classification with several ML classifiers. Additionally, to address changes in cat composition and individual cat appearances in multi-cat households, we propose an adaptive concept drift approach involving retraining the classification module. To support our research, we compile a comprehensive cat body dataset comprising 8934 images of 36 cats. After a rigorous evaluation of different combinations of DL models and classifiers, we find that the support vector machine (SVM) classifier yields the best performance, achieving an impressive identification accuracy of 94.53%. This outstanding result underscores the effectiveness of the system in accurately identifying cats.

Farmers' adaptation and mitigation practices in the Upper Rhine Valley: Drivers, synergies and trade‐offs

AbstractThrough semi‐structured interviews, this work analyses the motives and drivers leading wine growers and crop farmers in the Upper Rhine Valley (France, Germany, Switzerland) to adopt climate change adaptation and mitigation practices. We show that the main motive is to adapt, seen from an individual and reactive point of view. However, these practices sometimes also bring negative side effects in the long term or on other actors, and considering other problematics. On the contrary, other farmers’ thinking is more anticipatory and they pay more attention to the common good. Nevertheless, they are not necessarily the most successful in adaptation in the short term as they often are more affected. This shows the limits of the concept of adaptation, as centred on individuals and eluding issues that are not related to climate change. That is why we prefer considering system transitions, taking into account the interactions between the diverse problematics and actors.

Social Capital and Social Adaptation in Surakarta Society with Low Socioeconomic Status in the Covid-19 Era

This study aims to illustrate the relationship between social capital and social adaptation in Surakarta society with low socioeconomic status in the Covid-19 era. This research is descriptive type, using qualitative research methods, which are conducted descriptively analytically, to describe the relationship between the concept of social capital and social adaptation. Informants were selected using purposive sampling, taken by 32 informants, which was determined based on the diversity of social capital in people who were in the category of low socioeconomic status. Data analysis is conducted interactively through data collection, data reduction, data presentation and conclusions. Primary data were collected representing variations in employment, education, marital status, and home ownership. Data was collected online using Google Forms instruments. To validate the correctness of the data on the relationship between the concept of social capital and social adaptation. Triangulation of sources was carried out, by presenting informants in Focus Group Discussion activities within 3 days. The collected data was processed using SPSS version 26 and displayed as a cross table. The results showed the diversity of findings, the presence of informants with high social capital, followed by social adaptation. Those with low social capital, followed by low social adaptation. However, an interesting finding found that those with high social capital but low social adaptation categories. In addition, found that even if informants had categorized low social capital, they were still able to survive with the support of high social adaptation.

Michaël Ferrier, Kenichi Watanabe & [RE]presentations of the Fukushima Disaster

In 2021, Kenichi Watanabe & Michaël Ferrier published the screenplays for their three nuclear documentaries with Gallimard as Notre ami l'atome (2021). Ferrier said these screenplays were not simple publications but expansions of the material they had collected in their three films, which includes expanded interviews and photographs of the disasters. In this article, I use adaptation theory to examine Watanabe & Ferrier’s film Le monde après Fukushima (2013) along with the screenplay that appeared in the 2021 publication to understand the limits and possibilities each medium affords. For instance, these documentaries were partially funded by state institutions with a vested interest in the film, its reception, and its depiction of the events, whereas literature is arguably freer to express opinions because it is not tied to certain forms of state funding. This article thus uses Jan-Noël Thon’s concept of transmedial adaptation to demonstrate how both media (film and text) are complementary. Rather than simply publish the screenplay, Watanabe & Ferrier use the publication as an opportunity to share expanded commentary and photography. When the film and text are read together, they become an even more explicit critique of the nations that perpetuate the use of nuclear energy despite their demonstrated dangers.

Intelligent Adaptive E-Learning Systems: Current Approaches, Architectures, and Applications

Considering the weakness of traditional e-learning, a multiple of e-learning systems attempt to get individualization into the process of learning by offering learner-centered instruction, the adaptive E-learning system(AES)is seen as one of the more famous models. An AES can tailor its response to different circumstances. Various types and platforms in E-Learning systems have been discussed and explained such as blended, adaptive, and educational e-learning. Architectures, functions, and challenges also illustrated in details in this paper. Mostly focused on the Adaptive e-learning concept and importance for the learners. AES concentrates on adaptively delivering learning materials. This paper discusses some studies that approved the importance of adaption in the e-learning system in the years (2018-2023), and introduced some challenges faced by this system.

Adaptive learning concept selection: a bibliometric review of scholarly literature from 2011 to 2019

The article describes the bibliometric analysis of scientific literature on adaptive learning in social sciences. With the selected documents, a cluster analysis was carried out according to the co-occurrence of keywords. As a result, the keywords were divided into five clusters, including ones associated with computer-aided instruction, engineering education, basic didactic principles, and individualized learning. The most interrelated keywords, primary keywords, and the chronological limits of the research were also determined from 2011 to 2019.

Guided wave-based cross-scene interfacial debonding detection in reinforced concrete structures

The cross-scene problem within the field of guided wave-based interfacial debonding detection in steel-reinforced concrete structures is a significant challenge. This issue arises when the methods initially designed for laboratory-configured structures or numerical models are adapted to real-world scenarios. In response to this challenge, driven by the concept of domain adaptation, a novel method—the discriminative wavelet adversarial adaptation network (DWAAN)—is proposed to assess the health of analogous structures using diagnostic insights from a reference structure. The proposed method utilizes continuous wavelet transform to segregate signal components. A feature extraction network, designed with the convolutional neural network architecture, extracts domain confusion and damage-sensitive features through guided adversarial adaptive training in the wavelet domain. Both the adversarial and statistical alignment are employed during training for comprehensive optimization of data distribution discrepancies. The effectiveness of the proposed method is assessed in both the homogeneous and heterogeneous cross-scene interfacial debonding detection scenarios, revealing an average performance enhancement of 32.5% in distinct homogeneous applications and 26.6% in heterogeneous scenarios, when compared to the traditional supervised learning approach. In addition, the present method demonstrates robust convergence stability, evidenced by the minimized training fluctuations. The proposed method holds promising potential for practical applications in interfacial debonding detection in reinforced concrete structures while addressing the cross-scene challenge.

Pengembangan Keterampilan Adaptabilitas Karyawan

Employee adaptability skills are increasingly important in a rapidly changing business environment. A recent literature review reveals the evolution of employees' adaptability skills during the COVID-19 pandemic and efforts to strengthen them. Factors such as leadership, changes in the work environment, and organizational support influence changes in adaptability. Inclusive leadership, open communication and social support form key elements in this strategy. This article describes the development of employee adaptability skills in the context of external change, especially the COVID-19 pandemic. This article describes material for developing employee adaptability skills which includes understanding the concept of adaptability, adaptability development strategies, and the benefits for companies and employees. This material is designed to help employees develop their abilities to deal with change, increase resilience, manage stress and innovate. By investing time and resources in developing adaptability skills, organizations can increase their competitiveness and employees can achieve success in a dynamic work environment. The results of this literature review provide useful insights for organizations that wish to prioritize developing employee adaptability in response to increasingly complex business dynamics.

Sensemaking, adaptation and agency in human-exoskeleton synchrony.

Introduction: Wearable I robots such as exoskeletons combine the strength and precision of intelligent machines with the adaptability and creativity of human beings. Exoskeletons are unique in that humans interact with the technologies on both a physical and cognitive level, and as such, involve a complex, interdependent relationship between humans and robots. The aim of this paper was to explore the concepts of agency and adaptation as they relate to human-machine synchrony, as human users learned to operate a complex whole-body powered exoskeleton. Methods: Qualitative interviews were conducted with participants over multiple sessions in which they performed a range of basic functional tasks and simulated industrial tasks using a powered exoskeleton prototype, to understand their expectations of the human-technology partnership, any challenges that arose in their interaction with the device, and what strategies they used to resolve such challenges. Results: Analysis of the data revealed two overarching themes: 1) Participants faced physical, cognitive, and affective challenges to synchronizing with the exoskeleton; and 2) they engaged in sensemaking strategies such as drawing analogies with known prior experiences and anthropomorphized the exoskeleton as a partner entity in order to adapt and address challenges. Discussion: This research is an important first step to understanding how humans make sense of and adapt to a powerful and complex wearable robot with which they must synchronize in order to perform tasks. Implications for our understanding of human and machine agency as well as bidirectional coadaptation principles are discussed.