Key Characteristics Research Articles

The influence of Tiktok eWOM on consumer purchase intentions for local skincare products

This study investigates how TikTok electronic Word-of-Mouth (eWOM) impacts consumer purchase intentions in Indonesia, focusing specifically on key information characteristics within the local skincare product market. It examines factors such as information quality, information credibility, information task-fit, needs of information, attitude towards information, information usefulness, and information adoption towards purchase intention. Data were gathered from 385 participants via a questionnaire and analyzed using structural equation modeling (SEM) with the partial least squares (PLS) method. The results reveal that information quality, information task-fit, needs of information, attitude towards information, information usefulness, and information adoption significantly influence consumer purchase intentions. These findings underscore the influential role of TikTok in enhancing consumer engagement and shaping purchasing behaviors, particularly in the context of skincare products. For marketers in the skincare industry, these insights are crucial as they highlight the effectiveness of leveraging TikTok and similar platforms for marketing strategies. By understanding these dynamics, marketers can effectively harness social media to engage with consumers, build brand loyalty, and drive purchase decisions in a competitive market landscape.

Preoperative prediction of early recurrence in patients with BRAF mutant colorectal cancer using a intergrated nomogram

Objective To explore the predictive value of radiomics nomogram combining with CT radiomics features and clinical features for postoperative early recurrence in patients with BRAF-mutant colorectal cancer. Methods A total of 220 patients with surgically and pathologically confirmed BRAF-mutant colorectal cancer from 2 institutions were retrospectively included. All patients from institution 1 were randomized at a 7:3 ratio into a training cohort (n = 108) and an internal validation cohort (n = 45), and patients from institution 2 were used as an external validation cohort (n = 67). The association between the radiomics features and early recurrence was assessed in the training cohort and verified in the validation cohort. Furthermore, the performance of the radiomics nomogram was evaluated by combining the rad-score and clinical risk factors. The predictive performance was evaluated by receiver operating characteristic curve analysis, calibration curve analysis, and decision curve analysis. Results The dierenees in the Lymphocyte/monocyte ratio (LMR) and Peripheral nerve infiltration (PNI) were statistically significant between the early recurrence in BRAF-mutant colorectal cancer groups and the early non-recurrence in BRAF-mutant colorectal cancer groups (P < 0.05); The two groups showed no significant differenee in clinical parameters including age, sex, and biochemistry serum markers (P > 0.05). Comparing with the pure radiomics or clinical data, combined models can be seen that the addition of LMR and PNI further improveed the predictive efficiency of the model. The rad-score based on LR, generated by 4 selected radiomics features, demonstrated a favorable ability to predict early recurrence in both the training (AUC 0.81), internal validation (AUC 0.73), external validation (AUC 0.63) cohorts. Subsequently, integrating two independent predictors into a nomogram exhibited more favorable discriminatory performance, with the AUC improved to 0.88 and 0.81 in both cohorts. Conclusions The proposed CT-based radiomics signature is associated with early recurrence among the patients with BRAF-mutant colorectal cancer. The present study also proposes a combined model can potentially be applied in the individual preoperative prediction of early recurrence in patients with BRAF-mutant colorectal cancer. Advances in knowledge CT-based radiomics showed satisfactory diagnostic significance for early recurrence in patients with BRAF-mutant colorectal cancer. Key baseline clinical characteristics were associated with early recurrence in patients with BRAF-mutant colorectal cancer. The combined model may be applied in the individual preoperative prediction of early recurrence in patients with BRAF-mutant colorectal cancer.

Solid-to-gas phase transition kinetics of diverse potassium occurrence forms during biomass pellet combustion: Time-resolved detection and multi-step modeling

The solid-to-gas phase transition of potassium during biomass combustion significantly impacts ash-related issues in bioenergy systems, affecting operational efficiency and equipment longevity. However, the specific mechanisms and kinetics of this transition process remain inadequately understood. This work investigates the time-resolved transition of solid-phase potassium to the gas phase during the combustion of rice husk and wheat straw pellets, combining experimental measurements with theoretical modeling. Tunable diode laser absorption spectroscopy (TDLAS) was employed to measure atomic potassium concentrations 15 mm above burning pellets tray, where gas-phase equilibrium is approached. Key combustion characteristics including thermogravimetric profiles, spectral radiation, and temperature were simultaneously monitored. A novel multi-step model was developed to describe the transition of different forms of solid-phase potassium (organic, exchangeable, and inorganic) to the gas phase. This model integrates TDLAS measurements, observed combustion characteristics, and biomass physicochemical properties. Thermodynamic equilibrium calculations were used to estimate the atomic potassium fraction from total gaseous potassium. The results showed that the solid-to-gas phase transition of organic potassium synchronizes with volatiles release. In contrast, the maximum emission rates of inorganic and exchangeable potassium occurred at the onset of char combustion. The developed model agrees well with the online detection experiments and were further validated by offline ICP analysis of residual ash. While not directly simulating gas-solid interface reactions near the particle surface, this work lays groundwork for future multi-scale modeling of particle-laden flows and reactor-scale phenomena in biomass combustion systems.

Exploring the Role of Business Incubators to Sustainable Startups: A Systematic Literature Review

Business incubators play a crucial role in fostering the sustainability and growth of early-stage startups. They provide access, financial support, training, infrastructure, connections with investors, and more. However, many business incubators do not effectively maximize startup potential. This study aims to systematically review and analyze the key characteristics contributing to the role of business incubators in promoting sustainable startups. The study will follow the PRISMA statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and employ document analysis integrating multiple research designs, based on established standards. It will compile and analyze 68 articles from global sources, utilizing open-access articles and accessing primary databases such as Web of Science (WoS) and Scopus for article retrieval. Through content analysis, this study identified fifteen main categories that significantly impact startup businesses: (1) financial support, (2) business support and services, (3) networking support, (4) mentoring activities, (5) infrastructure, (6) human capital, (7) access to knowledge and information, (8) social values and environment, (9) marketing capabilities and support, (10) technology support, (11) entrepreneurship education (courses and curriculum), (12) programs, projects, and events, (13) research and development support, (14) government policy support, and (15) legitimacy involvement. The findings highlight five main aspects—financial, business, networking, mentoring, and infrastructure—as crucial for effective startup support and implementation. From an economic sociology perspective, these articles discuss the dynamic roles of business incubators, emphasizing urgent factors and essential designs for success in the face of future challenges.

Defining future cities: A comparative review of future cities’ definitions and characteristics across multiple fields

The rapid interest in future cities within academia is driven by the rising complexity of urban development and challenges such as rapid urbanization, population growth, and inequality. Researchers across various fields have different understandings of future cities and their characteristics, causing confusion and divergence between implementation goals and theories. This research addresses this gap by providing a unified, multidisciplinary definition of future cities, critically analyzing their intellectual and practical characteristics across fields including philosophy, computer science, engineering, environmental science, management, economics, social science, health sciences, architecture and planning. This research employed a mixed-method approach of a hybrid systematic-narrative literature review to identify key characteristics, followed by a multidisciplinary focus group of experts to synthesize the definition and key characteristics. It concluded that despite the rising interest in academia about future cities in recent years, there are differences in how various fields perceive future cities, particularly in areas like infrastructure, resource management, innovation, adaptability, technology, sustainability, and human needs. Despite these differences, future cities share common goals of meeting the well-being and justice needs of both current and future residents. They rely on technology, sustainability practices, community involvement, responsible citizenship, and efficient governance and leadership to ensure sustainable and effective long-term outcomes.

Rare Head and Neck Cancers and Pathological Diagnosis Challenges: A Comprehensive Literature Review.

Head and neck cancers (HNCs) arise from anatomically adjacent sites and subsites, with varying etiological factors, diagnostic strategies, prognoses, and treatment approaches. While conventional squamous cell carcinoma (SCC) is the most common histology in the head and neck district, HNCs encompass a variety of rare histopathological entities, categorized into epithelial tumors such as salivary gland cancers, sinonasal tumors, neuroendocrine tumors, malignant odontogenic tumors, and SCC variants versus non-epithelial tumors including soft tissue sarcomas, mucosal melanomas, and hematological malignancies. Rare HNCs (R-HNCs) represent a diagnostic and clinical challenge, requiring histopathological expertise, the availability of peculiar molecular analysis, and the personalization of local and systemic treatments, all guided by a multidisciplinary tumor board. Here, we provide a comprehensive literature review on R-HNCs, emphasizing key histopathological and molecular characteristics that are crucial for guiding treatment decisions. An insight about the latest developments in systemic treatments is also reported.

Seven Decades of Surface Temperature Changes in Central European Lakes: What Is Next?

Lakes are vital components of the hydrosphere, holding both environmental and economic significance. In recent times, they have undergone transformations in one of their key characteristics—water temperature. Assessing the scale and pace of these changes depends on the length and accuracy of the available data. This study focuses on the two lakes in Poland (Białe Augustowskie and Studzieniczne) with the longest continuous water temperature records, ranging from 1954 to 2023. The results reveal a relatively stable thermal regime until the late 1980s (with changes that were statistically insignificant) and a significant shift over the past three decades, during which the water temperature increased at a rate of 0.5 °C per decade. Importantly, simulations indicate further warming of the water by the end of the 21st century. Depending on the chosen climate change scenario, the warming of both lakes is expected to continue, with the Shared Socioeconomic Pathways (SSP585) scenario projecting a steady increase of 0.5 °C per decade. Given the fundamental importance of water temperature in determining factors such as water quality, these future changes present a significant challenge for water management authorities in terms of maintaining and managing these ecosystems.

Development of a method for predicting hazardous ship trajectories under uncertainty of navigator actions

The object of the research is the automation processes in maritime navigation to ensure the safety of ship movement by predicting their trajectories in complex aquatic areas, such as narrow passages, straits, and ports. The research applied six key stages to create a comprehensive method for clustering and predicting ship trajectories based on ECDIS data. In the first stage, ship movement trajectories were constructed according to risk categories, using the LCSS and DTW algorithms to compare planned and actual trajectories. This allowed for the accurate identification of course deviations and the determination of potentially dangerous sections of the trajectory. The second stage implemented clustering using the DBSCAN and GMM algorithms. DBSCAN was used to identify the density of points in space, and GMM provided modeling of cluster probabilities, allowing for better risk zone determination. The third stage applied the Douglas-Peucker compression algorithm to reduce the number of points in the trajectories, which preserved key characteristics and optimized data processing. In the fourth stage, ship movement stability was assessed using the Fourier transform, which allowed the detection of high-frequency oscillations that may indicate movement instability caused by changes in course or speed. The fifth stage included fuzzy clustering of trajectories using the Gaussian Mixture Model (GMM), which allowed modeling the probabilities of dangerous trajectories, considering the uncertainty of navigational parameters. At the final stage, a multilayer neural network (MLP) was used to predict future points of ship trajectories. The model accurately predicted the ship's coordinates, enabling timely trajectory adjustments. Experimental results showed that the developed method increased the accuracy of ship trajectory prediction to 72–81 % and also significantly reduced the final error, ensuring effective risk management during complex navigation.

Development and Validation of a Prechiasmatic Mouse Model of Subarachnoid Hemorrhage to Measure Long-Term Cognitive Deficits.

Controllable and reproducible animal models of aneurysmal subarachnoid hemorrhage (SAH) are crucial for the systematic study of the pathophysiology and treatment of this debilitating condition. However, current animal models have not been successful in replicating the pathology and disabilities seen in SAH patients, especially the long-term neurocognitive deficits that affect the survivor's quality of life. Therefore, there is an unmet need to develop experimental models that reliably replicate the long-term clinical ramifications of SAH - especially in mice where genetic manipulations are straightforward and readily available. To address this need, a standardized mouse SAH model is developed that reproducibly produced significant and trackable long-term cognitive deficits. SAH is induced by performing double blood injections into the prechiasmatic cistern - a simple modification to the well-characterized single prechiasmatic injection mouse model of SAH. Following SAH, mice recapitulated key characteristics of SAH patients, including cerebral edema measured by MRI - an indicator of early brain injury (EBI), neuroinflammation, apoptosis, and long-term cognitive impairment.This newly developed SAH mouse model is considered an ideal paradigm for investigating the complex SAH pathophysiology and identifying novel druggable therapeutic targets for treating SAH severity and SAH-associated long-term neurocognitive deficits in patients.

Agarose Degrading Potential and Whole Genome Sequence Analysis of Marine Bacterium Aliagarivorans sp. Strain DM1 Isolated from the Arabian Sea.

In recent years, agar-degrading bacteria have gained significant interest due to their biotechnological, environmental, microbiological, and industrial applications. Agar poses challenges such as marine waste accumulation, difficult industrial processing, limited natural degradability, and sustainability concerns due to high demand and overharvesting of red algae. The present study addresses the need for efficient agar-degrading microorganisms by isolating Aliagarivorans sp. strain DM1 from biofilm on fabric surfaces in the intertidal regions of the Arabian Sea, India. Phylogenetic analysis revealed that strain DM1 is closely related to Aliagarivorans taiwanensis AAT1T, and it exhibited significant agar-degrading activity on Zobell marine agar plates. Whole genome sequencing of Aliagarivorans sp. strain DM1, conducted using the Illumina NovaSeq platform, yielded a genome size of 4,898,415bp with an average G + C content of 53.3%. The genome includes 4,518 predicted protein-coding genes (CDS), 86 transfer RNA (tRNA) genes, and two ribosomal RNA (rRNA) genes, with thirteen predicted agarases identified. The highest enzyme activity recorded was 51.00 U mL-1 on the 6th day of incubation using 10% inoculum, with optimal conditions of pH 8-9, 0.8M NaCl, and temperatures between 50 and 60°C. These findings underscore the promise of Aliagarivorans sp. strain DM1 in developing efficient enzymatic processes that can be applied in various biotechnological and industrial fields, including waste management and agaro-oligosaccharide production. Furthermore, strain DM1 possesses several key characteristics that enhance its adaptability and utility in marine and industrial applications, surpassing closely related strains in enzyme stability, environmental tolerance, and industrial versatility.

African Indigenous education in the postcolonial period: A critical reflection

This article examines African Indigenous education in the precolonial period in Southern Africa, focusing on its key elements, characteristics, and educational significance within the broader context of the decolonial education discourse. By delving into primary forms and practices of Indigenous African education, we aim to shed light on how these systems contribute to understanding the educational landscape and the challenges faced in the wake of colonialism. Additionally, we explore the transformative role played by Indigenous education in Southern Africa in addressing the hegemonic influence of Western education during the postcolonial era. Drawing on existing literature and critical analysis, we critically reflect on the nature of a decolonial turn in African Indigenous education. The examination aims at contributing to the ongoing discourse on decolonising education and providing insights into the potential benefits of embracing Indigenous knowledge systems in contemporary African societies by recognising the importance of valuing diverse knowledge systems in fostering inclusive and relevant educational practices.

Boost heat transfer efficiency through thermal radiation and electrical conductivity in nanofluids

AbstractThermal radiation and electrical conductivity in nanofluids are crucial for their heat transfer characteristics, especially in applications with elevated temperatures or significant radiative heat transfer. The suspension of nanoparticles in suspension contributes to the fluid's electrical conductivity, which is essential for efficient heat dissipation in electronic cooling systems. Understanding the behavior of electroconductive nanofluids is particularly important in electronic cooling applications, where effective heat dissipation is crucial to prevent overheating. A study using a similarity parameter transformed a system of coupled PDEs into a set of nonlinear ordinary differential equations, revealing significant changes in key physical characteristics, such as temperature distribution, cubic concentration field, and velocity field. The study also examined the effects of parameters like Brownian motion, Rayleigh number, Peclet number, thermophoresis parameter, and buoyancy ratio parameter. The research provides valuable insights into the complex dynamics of magnetized non‐Newtonian nanofluids and offers practical implications for applications like microbial fuel cells and heat transmission equipment.

Specificity determinants of pathogens in forest

Abstract Host‐specific pathogens have long been suggested to act as a major driver of species diversity in tropical forests. However, determining the degree of host specificity of potential pathogens coupled to key cellular characteristics of infection is difficult and time‐consuming. These challenges have delayed progress in relating the functional specificity of pathogenic fungi to ecological consequences. We tested the pathogenicity of 27 (of 215) fungi that were isolated from surface sterilized roots of seedlings from four common tree species in a diverse subtropical forest. Inoculation experiments showed that six fungi exhibited strong pathogenicity on the host seedlings. Five of these only infected their specific hosts (i.e. host‐specific pathogen species). Green fluorescent protein labelling revealed that in three host‐specific pathogens fungal hyphae were able to grow into the vascular tissues only in their specific host plant, in contrast to other fungal‐host combinations that exhibit non‐pathogenic interactions. This fluorescent labelling technique allows direct tracking of the progress of fungal infection in different host tissues. Synthesis. By coupling the green fluorescent protein technique with standard host inoculation experiments, we determined the developmental differences between infections by pathogenic and non‐pathogenic fungi in a relatively simple and straightforward way. Our work provides a useful tool for rapidly screening and categorizing host–fungal interactions, reflecting the functional basis of host specificity of pathogenic fungi. More broadly, this technique can contribute to understanding the roles of pathogens in species coexistence and biodiversity maintenance in forest communities.

Recent Progresses and Challenges to Determine Properties of Sulfonated Polyether Ether Ketone Based Electrolytes for Direct Methanol Fuel Cell Applications

AbstractThis review focuses on fillers, modifications, and methods used in the preparation and development of sulfonated poly(ether ether ketone) (sPEEK) membranes, specifically for direct methanol fuel cell (DMFC) applications as proton exchange membranes in recent years. The primary objective is to evaluate recent advancements by emphasizing key characteristics such as water uptake and swelling capacity, ionic conductivity, methanol permeability, and single cell polarization tests. Additionally, the review aims to provide insights for future researchers by discussing the preparation processes of electrolytes. It presents basic characterizations of membrane electrolytes, including evaluations of the sulfonation degree and ion exchange capacities of sPEEK. High performance of membrane electrolytes is essential for commercialization and to compete with established membranes like Nafion®, which has a perfluorosulfonic acid structure. Therefore, the review also covers detailed characterization methods for assessing long‐term stability when available in the related studies. Numerical results and indicators are categorized and tabulated for easy interpretation and comparative analysis.

Development and Application of an Advanced Percolation Model for Pore Network Characterization by Physical Adsorption.

Physical adsorption is one of the most widely used techniques to characterize porous materials because it is reliable and able to assess micro- and mesopores within one approach. Challenges and open questions persist in characterizing disordered and hierarchically structured porous materials. This study introduces a pore network model aimed at enhancing the textural characterization of nanoporous materials. The model, based on percolation theory on a finite-sized Bethe lattice, includes all mechanisms known to contribute to adsorption hysteresis in mesoporous pore networks. The model accounts for delayed and initiated condensation during adsorption as well as equilibrium evaporation, pore blocking, and cavitation during desorption. Coupled with dedicated nonlocal-density functional theory kernels, the proposed method provides a unified framework for modeling the entire experimental adsorption-desorption isotherm, including desorption hysteresis scans. The applicability of the method is demonstrated on a selected set of nanoporous silica materials exhibiting distinct types of hysteresis loops (types H1, H2a, H1/H2a, and H5), including ordered mesoporous silica networks (KIT-6 and SBA-15/MCM-41 hybrid silica with plugged pores) and disordered mesoporous silica networks (hierarchical meso-macroporous monolith and porous Vycor glass). For all materials, a good correlation is found between calculated and experimental primary isotherms as well as desorption scans. The model allows us to determine key pore network characteristics such as pore connectivity and pore size distributions as well as a parameter correlated with the impact of pore network disorder on the adsorption behavior. The versatility and enriched textural insights provided by the proposed novel network model allow for a comprehensive characterization previously inaccessible and hence will contribute to further advancement in the textural characterization of novel nanoporous materials. It has the potential to provide important guidance for the design and selection of porous materials for optimizing various applications, including separation processes such as chromatography, heterogeneous catalysis and gas and energy storage.

Phenylethynyl-Terminated Imide Oligomer-Based Thermoset Resins.

Phenylethynyl-terminated imide (PETI) oligomers are highly valued for their diverse applications in films, moldings, adhesives, and composite material matrices. PETIs can be synthesized at varying molecular weights, enabling the fine-tuning of their properties to meet specific application requirements. Upon thermal curing, these oligomers form super-rigid network structures that enhance solvent resistance, increase glass-transition temperatures, and improve elastic moduli. Their low molecular weights and melt viscosities further facilitate processing, making them particularly suitable for composites and adhesive bonding. This review examines recent advancements in developing ultra-high-temperature PETIs, focusing on their structure-processing-properties relationships. It begins with an overview of the historical background and key physicochemical characteristics of PETIs, followed by a detailed discussion of PETIs synthesized from monomers featuring noncoplanar configurations (including kink and cardo structures), fluorinated groups, flexible linkages, and liquid crystalline mesogenic structures. The review concludes by addressing current challenges in this research field and exploring potential future directions.

Ultrasound protein-copolymer microbubble library engineering through poly(vinylpyrrolidone-co-acrylic acid) structure

HypothesisWhile albumin-coated microbubbles are routine contrast agents for ultrasound imaging, their short duration of contrast enhancement limits their use, yet can be improved by incorporating protein-copolymer hybrids into microbubble shells. The incorporation of N-vinyl-2-pyrrolidone and acrylic acid copolymer (P(VP–AA)) has been shown to enhance the performance of bovine serum albumin (BSA)-coated microbubbles. However, the impact of the copolymer structural properties on key microbubble characteristics (i.e., concentration, mean diameter and acoustic response) remains poorly understood. Therefore, we hypothesize that the copolymer structure affects its capacity to form micelle-like nanoaggregates, protein-copolymer hybrids, and microbubble shells, ultimately influencing the physicochemical and acoustic properties of the microbubbles. ExperimentsHere we evaluate the production and performance of BSA@P(VP–AA) microbubbles synthesized using a series of P(VP–AA) copolymers with –C8H17 and –C18H37 end groups and molecular weight cutoffs between 3.5 and 15 kDa. Both simulation and experimental data demonstrate that interactions between BSA and the copolymers significantly influence the performance of the resulting microbubbles across the library of 60 formulations. FindingsThe introduction of –C8H17 terminated copolymers into microbubble shells resulted in up to 200-fold higher concentration, 7-fold greater acoustic response, and 5-fold longer ultrasound contrast enhancement compared to plain BSA microbubbles. The enhanced acoustic performance was sustained during in vivo cardiac ultrasound imaging, without altering liver accumulation after copolymer introduction. These findings underscore how optimizing copolymer structure (specifically the terminal end group and molecular weight) can tailor the formation and performance of protein-copolymer-coated microbubbles, offering valuable insights for designing ultrasound contrast agents.

Adaptation of rhizobacterial and endophytic communities in Citrus Grandis Exocarpium to long-term organic and chemical fertilization.

Organic fertilizers (OF) are crucial for enhancing soil quality and fostering plant growth, offering a more eco-friendly and enduring solution compared to chemical fertilizers (CF). However, few studies have systematically analyzed the effects of OF/CF on root microbiome of medicinal plants, especially in combination with active ingredients. In this study, we investigated the composition and function of bacteria and fungi in the rhizosphere or within the root of traditional Chinese medicinal plants, Citri Grandis Exocarpium (Huajuhong), which were treated with OF or CF over 1, 3, and 5 years (starting from 2018). Additionally, we conducted metabolome analysis to evaluate the effects of different fertilizers on the medicinal properties of Huajuhong. The results indicated that extended fertilization could enhance the microbial population and function in plant roots. Notably, OF demonstrated a stronger influence on bacteria, whereas CF enhanced the cohesion of fungal networks and the number of fungal functional enzymes, and even potentially reduced the proliferation of harmful rhizosphere pathogens. By adopting distancebased redundancy analysis, we identified the key physicochemical characteristics that significantly influence the distribution of endophytes, particularly in the case of OF. In contrast, CF was found to exert a more pronounced impact on the composition of the rhizosphere microbiome. Although the application of OF resulted in a broader spectrum of compounds in Huajuhong peel, CF proved to be more efficacious in elevating the concentrations of flavonoids and polysaccharides in the fruit. Consequently, the effects of long-term application of OF or CF on medicinal plants is different in many ways. This research provides a guide for OF/CF selection from the perspective of soil microecology and aids us to critically assess and understand the effects of both fertilizers on the soil environment, and promotes sustainable development of organic agriculture.

Reviving the Practices of Transhumance in a Forgotten Settlement in Mainland Greece

The aim of this research project is the investigation of the forgotten landscape of transhumance in mainland Greece, focusing on areas that have been abandoned by modern society and their historical significance. The goal is to make these lands functional again by preserving their cultural heritage and developing a sustainable community that meets the needs of people, livestock, and the environment. The investigation employs a dual approach: examining transhumance as a cultural and natural practice while analyzing vernacular architecture to preserve collective memory. This involves extensive historical research and a simultaneous analysis of spatial, social, symbolic, and architectural elements. This study identifies points of convergence between cultural practices and architectural heritage, applying these insights to contemporary redevelopment scenarios. Findings reveal a significant interplay between transhumance practices and the region’s anonymous architecture. Key characteristics of the landscape and its spatial identity are documented, providing insights into effective preservation and redevelopment strategies. Specific case studies validate these strategies, demonstrating their relevance to current and future efforts. This study concludes that understanding the historical context and spatial identity of transhumance landscapes is crucial for sustainable redevelopment. By preserving cultural practices and architectural heritage, this project provides a framework for revitalizing these landscapes, ensuring a balanced coexistence of people, livestock, and the environment.

From Clicks to Carts: Examining the Mediating Role of Attachment in the Relationship Between Influencers and Consumer Purchase Intentions on Live Streaming Platforms

Internet celebrities are rapidly reshaping economics and marketing dynamics on online platforms such as live streaming. This trend has made influencers a crucial marketing technique for many businesses. This study focuses on influencers and their characteristics, engaging in a comprehensive discussion of their complex relationships. It hypothesizes that the three key characteristics of celebrity influencers—similarity, professionalism, and interactivity—directly influence attachment and purchase intention. Additionally, the research explores how attachment mediates the relationship between influencer factors and purchase intention on live streaming platforms. A cross-sectional design and statistical analysis were employed, using a sample of 130 online consumers. The results suggest that similarity, professionalism, and interactivity directly effect on purchase intention. However, while professionalism and interactivity have a direct effect on attachment, they do not significantly influence the relationship with similarity. However, when mediated through attachment, similarity gets partially mediated whereas professionalism and interactivity have observed full mediation. The total effect is highest for similarity. Overall, the study found attachment to be a significant mediator among these influencer characteristics. These findings suggest that celebrities, product developers, advertisers, and online platform owners need to prioritize influencer credibility and competency to succeed in online marketing through live streaming platforms. This study provides new insights into marketing approaches, contributing to the field of consumer behaviour research both practically and theoretically.