View Of System Research Articles

RESOLUÇÃO DE CONFLITO

In the context of the national legal system, this text seeks to provide a systemic view of mediation, conciliation and arbitration from doctrinal principles (not broadly, but simplifi ed in the conception of the judiciary). The benefi ts of such alternative techniques will be examined and associated with the doctrine and laws that control them. This is because of the recognized ‘slowness’ of the judicial system. It is thus intended that mediation is used when there is a prior relationship between the parties, because it requires eff ort in the investigation and study of the issue. Furthermore, it points directly to the proposed theme according to the primary forms of mediation and how these disputes work and how they are examined. Thus, we point in the direction of the adversarial - where the principles of plea-bargaining will support conciliation that is typically employed when there is no prior relationship and should eff ectively focus on resolving the issue (fact proposed to the judiciary). Thus, we coadunate that the ‘arbitrator’ should take special eventually in demonstrating that the benefi ts of the arbitration procedure outweigh any potential drawbacks, thus making it a fast process, with technical precision that can/will encourage its eff ectiveness in the judicial system - either in a given locality, or in the national territory.

Development of the triadic neural systems involved in risky decision-making during childhood

Risk-taking often occurs in childhood as a compex outcome influenced by individual, family, and social factors. The ability to govern risky decision-making in a balanced manner is a hallmark of the integrity of cognitive and affective development from childhood to adulthood. The Triadic Neural Systems Model posits that the nuanced coordination of motivational approach, avoidance and prefrontal control systems is crucial to regulate adaptive risk-taking and related behaviors. Although widely studied in adolescence and adulthood, how these systems develop in childhood remains elusive. Here, we show heterogenous age-related differences in the triadic neural systems involved in risky decision-making in 218 school-age children relative to 80 young adults. Children were generally less reward-seeking and less risk-taking than adults, and exhibited gradual increases in risk-taking behaviors from 6 to 12 years-old, which are associated with age-related differences in brain activation patterns underlying reward and risk processing. In comparison to adults, children exhibited weaker activation in control-related prefrontal systems, but stronger activation in reward-related striatal systems. Network analyses revealed that children showed greater reward-related functional connectivity within and between the triadic systems. Our findings support an immature and unbalanced developmental view of the core neurocognitive systems involved in risky decision-making and related behaviors in middle to late childhood.

Exploring real teamwork and sustainable quality culture, focusing on top management teams

PurposeThe purpose of this paper is to describe the perception of real teamwork and sustainable quality culture as well as success factors for achieving a sustainable quality culture within an organisation, focusing on top management teams (TMTs). An additional purpose is to explore the relationship between real teamwork and sustainable quality culture.Design/methodology/approachA mixed-methods design focusing on TMTs was used. Four TMTs were open-sampled and located in different parts of Sweden. The data were collected through questionnaires and focus group discussions between April 2022 and December 2022. Follow-up meetings were thereafter held with the participants. A meta-analysis was conducted of the data from the four TMTs.FindingsTwo overarching conclusions of this study were: to follow the developed methodology can be one way to increase TMTs' abilities for real teamwork alongside a sustainable quality culture, and the results also showed the importance of a systems view, emotional commitment and continuous improvement for improving real teamwork and creating a sustainable quality culture.Practical implicationsPractical implications were suggestions on how to increase the TMTs' abilities for real teamwork alongside a sustainable quality culture. A deepened understanding of real teamwork and a sustainable quality culture was also achieved by the participants.Originality/valueThe novelty of this paper is the use of a new methodology for assessing teamwork and sustainable quality culture. To the authors' knowledge, no similar research has previously been performed to investigate teamwork alongside a sustainable quality culture, focusing on TMTs.

Exploring farmers' perceptions of the technological characteristics of traceability systems

CONTEXTChina is actively promoting traceability systems in the agricultural sector, yet widespread adoption among farmers remains limited. As farmers play a pivotal role in these systems, their perceptions significantly shape their participation in them. OBJECTIVEThe aim of this study is to explore the differences in farmers' perceptions of the technological characteristics of the traceability system. METHODSBased on the diffusion of innovations theory, this study uses the Q methodology to analyze and categorize farmers' perceptions of the technological characteristics of the traceability system. RESULTS AND CONCLUSIONSResearch has identified the presence of four distinct groups of farmers with different perceptions of technological characteristics. These groups respectively maintain a positive view of the traceability system, recognize its potential in environmental conservation, emphasis the importance of authentic traceability information, and expect governmental support. However, they generally perceive participation in the traceability system as incompatible with their abilities, knowledge, and available resources. Moreover, they generally recognize the traceability system's role in protecting consumer health. SIGNIFICANCEThe findings of this study provide practical insights for promoting the traceability system in agriculture, guiding its implementation and adoption. It also highlights the importance of considering farmers' perceptions and resources when improving new technologies, providing theoretical support for sustainable agricultural development.

Tissue clearing and its applications in human tissues: A review

AbstractIn three‐dimensional (3D) space, an unbiased and systemic view of human specimens between structures and functions is required. However, conventional histological sections from specimens have made only limited progress in exploring intact information about 3D biological tissues. With significant advances in optical physics and chemical engineering, state‐of‐the‐art tissue‐clearing methods can revolutionize the intact subcellular level of human tissue histological analysis, from thick human tissues to intact human organs. The present review summarizes the principle of tissue clearing so that a trainee researcher can implement effective human tissue‐clearing protocols. Furthermore, this review highlights existing tissue‐clearing methods in specific human tissue applications, describes imaging strategies, and presents various efficient computational approaches for processing and visualizing large image data. Finally, potential future directions for developing tissue‐clearing methods for human tissues are also discussed.

Adopting the service system view toward successful implementation of assistive technologies.

This study aims to provide an overview of the service system view (SSV), and the current status of its adoption for the development and implementation of assistive technology (AT). The role of ATs in the global aging scenario is anticipated; however, their diffusion is cumbersome. The SSV captures stakeholders, technologies, and their interactions as integrated systems. Based on this perspective, several approaches for designing long-term care services have been proposed that would be helpful for the successful implementation of ATs. However, the existing geriatrics and gerontology literature seldom addresses these topics. Based on a literature review, this study first illustrates the challenges of using ATs in the real world. The existing literature highlights the sociotechnical challenges of utilizing ATs, such as the changes required in care work and resistance to them. To overcome the challenges, three approaches associated with the SSV have been introduced: service design, service engineering and living labs. This paper also introduces recent national projects in Japan that have adopted these approaches. As the importance of the SSV is growing for the successful implementation of ATs, the ability to adopt the SSV and its approaches is anticipated. In relation to geriatrics and gerontology studies, the impact on older adults' quality of life, as well as the economic effect, needs to be analyzed in future research. Geriatr Gerontol Int 2024; 24: 74-80.

Single-cell profiling of the microenvironment in human bone metastatic renal cell carcinoma

Bone metastasis is of common occurrence in renal cell carcinoma with poor prognosis, but no optimal treatment approach has been established for bone metastatic renal cell carcinoma. To explore the potential therapeutic targets for bone metastatic renal cell carcinoma, we profile single cell transcriptomes of 6 primary renal cell carcinoma and 9 bone metastatic renal cell carcinoma. We also include scRNA-seq data of early-stage renal cell carcinoma, late-stage renal cell carcinoma, normal kidneys and healthy bone marrow samples in the study to better understand the bone metastasis niche. The molecular properties and dynamic changes of major cell lineages in bone metastatic environment of renal cell carcinoma are characterized. Bone metastatic renal cell carcinoma is associated with multifaceted immune deficiency together with cancer-associated fibroblasts, specifically appearance of macrophages exhibiting malignant and pro-angiogenic features. We also reveal the dominance of immune inhibitory T cells in the bone metastatic renal cell carcinoma which can be partially restored by the treatment. Trajectory analysis showes that myeloid-derived suppressor cells are progenitors of macrophages in the bone metastatic renal cell carcinoma while monocytes are their progenitors in primary tumors and healthy bone marrows. Additionally, the infiltration of immune inhibitory CD47+ T cells is observed in bone metastatic tumors, which may be a result of reduced phagocytosis by SIRPA-expressing macrophages in the bone microenvironment. Together, our results provide a systematic view of various cell types in bone metastatic renal cell carcinoma and suggest avenues for therapeutic solutions.

Contribution of membrane-associated oscillators to biological timing at different timescales.

Environmental rhythms such as the daily light-dark cycle selected for endogenous clocks. These clocks predict regular environmental changes and provide the basis for well-timed adaptive homeostasis in physiology and behavior of organisms. Endogenous clocks are oscillators that are based on positive feedforward and negative feedback loops. They generate stable rhythms even under constant conditions. Since even weak interactions between oscillators allow for autonomous synchronization, coupling/synchronization of oscillators provides the basis of self-organized physiological timing. Amongst the most thoroughly researched clocks are the endogenous circadian clock neurons in mammals and insects. They comprise nuclear clockworks of transcriptional/translational feedback loops (TTFL) that generate ∼24h rhythms in clock gene expression entrained to the environmental day-night cycle. It is generally assumed that this TTFL clockwork drives all circadian oscillations within and between clock cells, being the basis of any circadian rhythm in physiology and behavior of organisms. Instead of the current gene-based hierarchical clock model we provide here a systems view of timing. We suggest that a coupled system of autonomous TTFL and posttranslational feedback loop (PTFL) oscillators/clocks that run at multiple timescales governs adaptive, dynamic homeostasis of physiology and behavior. We focus on mammalian and insect neurons as endogenous oscillators at multiple timescales. We suggest that neuronal plasma membrane-associated signalosomes constitute specific autonomous PTFL clocks that generate localized but interlinked oscillations of membrane potential and intracellular messengers with specific endogenous frequencies. In each clock neuron multiscale interactions of TTFL and PTFL oscillators/clocks form a temporally structured oscillatory network with a common complex frequency-band comprising superimposed multiscale oscillations. Coupling between oscillator/clock neurons provides the next level of complexity of an oscillatory network. This systemic dynamic network of molecular and cellular oscillators/clocks is suggested to form the basis of any physiological homeostasis that cycles through dynamic homeostatic setpoints with a characteristic frequency-band as hallmark. We propose that mechanisms of homeostatic plasticity maintain the stability of these dynamic setpoints, whereas Hebbian plasticity enables switching between setpoints via coupling factors, like biogenic amines and/or neuropeptides. They reprogram the network to a new common frequency, a new dynamic setpoint. Our novel hypothesis is up for experimental challenge.

Healthy people, soils, and ecosystems: uncovering primary drivers in the adoption of regenerative agriculture by US farmers and ranchers

As regenerative agriculture grows in popularity, policy and decision-makers have become interested in its practices. Yet, little is known about those factors driving its adoption among farmers and ranchers. To better understand these drivers, we conducted semi-structured interviews with 31 farmers and ranchers across the United States (US) who self-identified as practitioners of regenerative agriculture. In doing so, we asked about relational values, which reflect one’s perspectives around the links between humans and nature. We also asked about economic and environmental drivers for adoption. In the analysis, we used qualitative coding to identify the range of values and factors driving adoption across our sample. We found that 1) improving the health of people, soils, and ecosystems - through farming practices and related social configurations - was a primary driver for adoption, 2) that relative economic privilege, particularly across two extremes - privileged idealism and less privileged necessity - correlated with most drivers for adoption, 3) that a shift away from industrial agriculture was at once a moral, economic, and environmental imperative for many practitioners, and 4) a systems view of social-ecological relationships was seen as a key to adoption and societal transitions. While our sample represents only a narrow segment of the regenerative agriculture movement in the US, our findings can serve as a useful starting point for understanding the drivers for its adoption. Our findings may also inform conversations on regenerative agriculture’s potential to support food-related sustainability transitions. The discussion situates our work amidst sustainable agriculture and social movement studies, questions of equity in food systems transitions, and the benefits of studying values in developing policy-relevant solutions.

Value co-creation between coworking spaces and startups in different stages of development

Coworking spaces (CWS) are sustainable pillars for the development of entrepreneurial ecosystems, providing a variety of relevant services, which are co-created in exchanges experienced among different actors. During the pandemic, CWS experienced structural transformations. This study identified, characterised, and evaluated the relevance of the services provided by CWS considering the different stages in the evolution of a startup. For this, a narrative literature review was conducted and the second phase of the research included the development of netnographic initiatives and the conduction of multiple case studies. As a result, six categories of services were identified, comprehending 36 services, whose relevance varies considering the maturity level of the startup. This research contributes to the literature by providing a systemic view of the state of practice of these services in the context of CWS, as well as identifying the changes CWS environments are experiencing driven by digital transformations.
 Keywords: Coworking Spaces, startup, sharing economy, co-creation, digital transformation.

Phylogenomics analysis of velvet regulators in the fungal kingdom.

All life forms have evolved to respond appropriately to various environmental and internal cues. In the animal kingdom, the prototypical regulator class of such cellular responses is the Rel homology domain proteins including nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB). Fungi, the close relatives of animals, have also evolved with their own NF-κB-like regulators called velvet family proteins to govern cellular and chemical development. Here, we conducted a detailed investigation of the taxonomic broad presence of velvet proteins. We observed that velvet proteins are widely distributed in the fungal kingdom. Moreover, we have identified and characterized 21 major velvet clades in fungi. We have further revealed that the highly conserved velvet domain is composed of three distinct motifs and acts as an evolutionarily independent domain, which can be shuffled with various functional domains. Such rearrangements of the velvet domain have resulted in the functional and type diversity of the present velvet regulators. Importantly, our in-deep analyses of the primary and 3D structures of the various velvet domains showed that the fungal velvet domains can be divided into two major clans: the VelB and the VosA clans. The 3D structure comparisons revealed a close similarity of the velvet domain with many other eukaryotic DNA-binding proteins, including those of the Rel, Runt, and signal transducer and activator of transcription families, sharing a common β-sandwich fold. Altogether, this study improves our understanding of velvet regulators in the fungal kingdom.IMPORTANCEFungi are the relatives of animals in Opisthokonta and closely associated with human life by interactive ways such as pathogenicity, food, and secondary metabolites including beneficial ones like penicillin and harmful ones like the carcinogenic aflatoxins. Similar to animals, fungi have also evolved with NF-κB-like velvet family regulators. The velvet proteins constitute a large protein family of fungal transcription factors sharing a common velvet domain and play a key role in coordinating fungal secondary metabolism, developmental and differentiation processes. Our current understanding on velvet regulators is mostly from Ascomycota fungi; however, they remain largely unknown outside Ascomycota. Therefore, this study performed a taxonomic broad investigation of velvet proteins across the fungal kingdom and conducted a detailed analysis on velvet distribution, structure, diversity, and evolution. The results provide a holistic view of velvet regulatory system in the fungal kingdom.

Theoretical and Technological Analysis of Smart Manufacturing Systems

This study presents a comprehensive evaluation of the current status of smart manufacturing systems (SMS), with a specific emphasis on their theoretical significance in the context of technology management and technology development. The paper examines the theoretical underpinnings of development of technology through the lens of Rogers' Diffusion of Innovation (DoI) theory. Additionally, the paper employs Rieck and Dickson's Technology Strategy Model (TSM) to emphasize the importance of technology management. By incorporating the Management of Technology (MOT) theory, the paper aims to provide a comprehensive framework for understanding and shaping technology development. The integration of several technologies inside the SMS system has been the subject of discussion in relation to patenting. The features of Smart Manufacturing Systems (SMS) have been examined in order to analyze the comprehensive components of this emerging technological system. The suggested SMS model of the clothing manufacturing unit has been used to represent the global textile complex. This research incorporates recent scholarly publications and advancements in technology to provide a comprehensive understanding of future manufacturing system views. The objective is to minimize human involvement and enhance production efficiency within the manufacturing business. The primary components of the SMS have been identified as the cyber-physical system, artificial intelligence (AI), digital twin, enterprise resource planning, additive manufacturing, and big data.

Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS.

Advances in machine learning (ML) methodologies, combined with multidisciplinary collaborations across biological and physical sciences, has the potential to propel drug discovery and development. Open Science fosters this collaboration by releasing datasets and methods into the public space; however, further education and widespread acceptance and adoption of Open Science approaches are necessary to tackle the plethora of known disease states. In addition to providing much needed insights into potential therapeutic protein targets, we also aim to demonstrate that small patient datasets have the potential to provide insights that usually require many samples (>5,000). There are many such datasets available and novel advancements in ML can provide valuable insights from these patient datasets. Using a public dataset made available by patient advocacy group AnswerALS and a multidisciplinary Open Science approach with a systems biology augmented ML technology, we aim to validate previously reported drug targets in ALS and provide novel insights about ALS subpopulations and potential drug targets using a unique combination of ML methods and graph theory. We use NetraAI to generate hypotheses about specific patient subpopulations, which were then refined and validated through a combination of ML techniques, systems biology methods, and expert input. We extracted 8 target classes, each comprising of several genes that shed light into ALS pathophysiology and represent new avenues for treatment. These target classes are broadly categorized as inflammation, epigenetic, heat shock, neuromuscular junction, autophagy, apoptosis, axonal transport, and excitotoxicity. These findings are not mutually exclusive, and instead represent a systematic view of ALS pathophysiology. Based on these findings, we suggest that simultaneous targeting of ALS has the potential to mitigate ALS progression, with the plausibility of maintaining and sustaining an improved quality of life (QoL) for ALS patients. Even further, we identified subpopulations based on disease onset. In the spirit of Open Science, this work aims to bridge the knowledge gap in ALS pathophysiology to aid in diagnostic, prognostic, and therapeutic strategies and pave the way for the development of personalized treatments tailored to the individual's needs.

Neutral Currents in Large Public Lighting Networks

The modern large public lighting networks are characterized by two major aspects that rise problems from both power quality and neutral current point of view in low voltage wye-connected three-phase electrical systems: (i) the supply system is unbalanced loaded; (ii) the presence of discharge sources. It is important to underline that nowadays,these aspects are not taken into account in the proper sizing of neutral conductors. The paper presents a simplified but enough accurate methodology to estimate the RMS value of neutral currents in lighting networks. The theoretical relationships are illustrated for a three-phase public lighting network that contains high pressure sodium lamps.

Mapping Renewable Energy among Antarctic Research Stations

This paper presents an overview of current electricity generation and consumption patterns in the Antarctic. Based on both previously published and newly collected data, the paper describes the current status of renewable-energy use at research stations in the Antarctic. A more detailed view of electricity systems is also presented, demonstrating how different types of resources may be used and combined. The paper will serve as a guide to various renewable-energy generation technologies, highlighting well-established praxis, lessons learned, and potential ideas for improvement. Several renewable electricity generation technologies that have proven effective for use in the Antarctic environment are described. as well as those that are currently in use. Finally, the paper summarizes the major lessons learned to support future projects and close the knowledge gap. The use of renewable-energy sources has the potential to reduce research stations’ greenhouse gas emissions, making research in Antarctica more sustainable. The availability of high-quality energy is crucial for survival and to allow scientists to conduct meaningful research at research stations under harsh Antarctic conditions.

An Analysis of the Differences in Family Education Between China and the United States under the Orientation of Educational Policies

Family education is influenced by many factors, and education policy is one of the most important factors. There is a big difference between China and the United States in terms of family education. From the point of view of the different admission systems of colleges and universities in the two countries, the diversified admission system of the United States contributes to the formation of the concept of "quality education" family education. In contrast, the single-indicator admission system of China leads to the concept of "teaching to the test" family education to a certain extent. This paper examines the differences between the admissions systems of China and the United States and their impact on the differences between family education in China and the United States and makes suggestions for family education in China through a comparative analysis of the strengths and weaknesses of family education in the two countries. Parents should have a long-term view of education and regard academic performance as one of the goals of family education, and more importantly, take the comprehensive development of children as the primary goal, so that they can raise healthy and excellent children.

WHAT DO WE KNOW ABOUT CUSTOMER SATISFACTION IN THE HOSPITALITY AND TOURISM INDUSTRY? THE GLIMPSE FROM A BIBLIOMETRIC ANALYSIS

Numerous previous studies have emphasized that investigating customer behavior in hospitality and tourism services is a crucial research area that significantly impacts the industry's success, particularly in terms of customer satisfaction. According to a report by Small Business Chron, customer satisfaction holds paramount importance in the hospitality and tourism industry, where customers pay close attention to the quality of service they receive. The goal of this paper is to offer researchers a systematic view of how this topic contributes to the development of effective research channels for future analysis and research on the subject. The method used is bibliometric analysis, and mapping analysis has been conducted involving 107 articles from the SCOPUS database on customer satisfaction spanning from the year 2013 to 2023. The study employs bibliometric analysis of literature using Vosviewer. The findings reveal that research on customer satisfaction has steadily grown over the study period in the hospitality and tourism industry. The network analysis of customer satisfaction publications indicates that important themes covered include service quality, customer experience, customer value, and customer reviews

IIoT System Canvas — From architecture patterns towards an IIoT development framework

Industrial Internet of Things (IIoT) solutions are poised to enable digital transformation across industry verticals. However, the diversity of IIoT applications has resulted in a multitude of constantly evolving technologies, standards, and reference architectures with differing terminologies and frequent incompatibilities. A unified approach to describe and develop IIoT systems is needed not only to ease development, but also identify cross-cutting research gaps and exploit synergies.Building on a substantial literature survey, this work proposes the IIoT Development Framework, taking a systems engineering perspective to derive an IIoT Systems Development Process along with several key tools: After defining business objectives, an IIoT system is broken down into system components using the IIoT Architecture Pattern. Second, functionalities for each component are identified leveraging morphological boxes. Third, suitable technologies capable of providing these functionalities need to be selected. For this task, technology selection criteria and processes as well as technology comparison sheets are detailed, covering key technologies. Throughout the entire process of technology selection, the IIoT System Canvas is the central tool summarizing components, required functionalities and selected technologies to provide a comprehensive end-to-end view of the entire IIoT system. It may be understood as a modeling template akin to the Business Model Canvas.The IIoT Development Framework aims to achieve three objectives: Completeness (covering all aspects of IIoT systems), actionability (low barriers for researchers and practitioners) and generalizability (covering not just one product family, but cutting across industry verticals). The framework is validated by comparison to the state of the art and application to a set of use cases covering multiple industry verticals with differing requirements, showing superior results especially in terms of completeness and actionability, while maintaining generalizability.

Crash-Resilient Decentralized Synchronous Runtime Verification

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Runtime verification</i> is a technique, where a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">monitor</i> process extracts information from a running system in order to evaluate whether system executions violate or satisfy a given correctness specification. In this paper, we consider runtime verification of synchronous distributed systems, where a set of decentralized monitors that only have a partial view of the system are subject to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">crash failures</i> . In this context, it is unavoidable that monitors may have different views of the underlying system, and, therefore, have different opinions about the correctness property. We propose an automata-based synchronous monitoring algorithm that copes with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$t$</tex-math></inline-formula> crash monitor failures. In our proposed approach, local monitors do not communicate their explicit reading of the underlying system. Rather, they emit a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">symbolic verdict</i> that efficiently encodes their partial views. This significantly reduces the communication overhead. To this end, we also introduce an (offline) SMT-based monitor synthesis algorithm, which results in minimizing the size of monitoring messages. We evaluate our algorithm on a wide range of formulas and observe an average of 2.5 times increase in the number of states of the monitor automaton.

Exploring the Path of Village Protection and Renewal Strategy Based on the Maximum Information Entropy Model in the Context of Rural Revitalisation

Abstract A comprehensive and systematic view and solution to the protection and renewal of traditional villages can help actively promote and implement the strategy of rural revitalization. This paper constructs a village protection and renewal evaluation system based on the maximum information entropy model, utilizes the entropy weight method to build the index weight evaluation matrix, and introduces the confidence factor to correct the index weights, realizing the combination of the system. Then, based on the linear weighting method to carry out a comprehensive assessment of village protection and renewal development, and based on the assessment results to formulate a personalized village protection and renewal strategy, and the feasibility analysis of the strategy with the village of T city. The results show that village protection and renewal in T city villages generally indicate an upward trend from 2016 to 2023, and the comprehensive evaluation index reached a peak of 0.3227 in 2023. In the case study, the linear regression equations fitted to the scattering points of the uptown residential area villages and the entire T city villages’ axes intersect with a difference in slopes of 14.5123. The angle of the regression line continues to increase in comparison with 2016, indicating that the role of traditional village protection planning is significant. Village protection planning plays an important role in verifying the effectiveness of the formulated village protection and renewal strategy, which can promote the development of village regional characteristics for the good.