Interior Features Research Articles

Understanding older adults’ needs for and perceptions of shared autonomous vehicle interior features: A focus group and user enactment study

Shared autonomous vehicles (SAVs) can help older adults maintain mobility and independence throughout the later stages of life. However, research is critically needed to assess the design of SAV interior features and quantify potential mobility challenges for older populations. This paper presents a study that adopted a mixed-methods approach to evaluate the needs and perceptions of adults aged 65 years and older regarding interior features of SAVs during user enactment, and offers data-driven insights on task performance to inform design decisions. Thirty participants interacted with an SAV mock-up and participated in subsequent focus group discussions regarding their interaction experiences and general perceptions of SAV. Quantitative video-based time-motion analysis and qualitative thematic analysis of the focus group discussion highlighted concerns related to a) ingress and egress accessibility; b) seat and cabin comfort; c) appropriate social interactions with co-riders; and d) SAV operational functionality. Staggered seating arrangements and multi-functional use of available space were preferred features. The analysis also identified potential improvements, such as the inclusion of additional handholds and efficient HVAC systems, and underscored the need for central monitoring for emergency interventions during SAV operations. Ultimately, findings from this research can provide valuable insights for researchers and engineers to design equitable transportation solutions tailored to a broad range of traveler abilities and needs.

Preliminary results of the interior features inferred from radargrams, Ulanhada Volcano, Inner Mongolia, China

Abstract The Ulanhada Volcano Group is located in Inner Mongolia, China. It is an important Quaternary volcanic geological relic with different types of volcanic cones, craters, lava platforms, and other structures. Ground penetrating radar (GPR) can play an important role in volcanic exploration. We used pulse EKKO radar combined with 100MHz and 250MHz antennas to detect the No.1 Redhill volcanic. The results indicate that there are significant differences in reflection characteristics in radargrams of different frequencies, which can be used to analyze the material composition, eruption period, and stratigraphic coverage relationship of volcanic eruptions. At the same time, an accurate analysis of the region will also be used as an evaluation basis for the field scientific verification experiments of China’s Asteroid Core Scan Radar (ACSR) and Lunar Penetrating Radar (LPR).

Media Library: A Retrospection

“Media Library” re-imagines the traditional concept of a library by transforming it into a ‘third place.’ Beyond its role as a repository of books, this innovative space encourages public participation, creativity, and interaction. The building design integrates various functions, including display areas, music studios, and a cafe-restaurant. Its facade, resembling an unfurling ribbon, interacts with the surrounding urban environment. The interior features “bubbles” that serve as intimate cocoons for specific activities. Overall, this project challenges conventional library norms and invites visitors to engage actively in their own experiences.

A multidirectional pairwise coupling approach with spectral features unmixing to quantify total phosphorus, total nitrogen, and chlorophyll-a in urban rivers

Comprehensive and effective water quality monitoring is vital to water environment management and prevention of water quality from degradation. Unmanned aerial vehicle (UAV) remote sensing techniques have gradually matured and prevailed in monitoring water quality of urban rivers, posing great opportunity for more effective and flexible quantitative estimation of water quality parameter (WQP) than satellite remote sensing techniques. However, current UAV remote sensing methods often entail large quantities of cost-prohibitive in-situ collected training samples with corresponding chemical analysis in different monitoring watersheds, laying time and fiscal pressure on local environmental protection department. They suffer relatively low calculation accuracy and stability and their applicability in various watersheds is constrained. This study developed a unified two-stage method, multidirectional pairwise coupling (MDPC) with information sharing and delivery of different modeling stages to efficiently predict concentrations of WQPs including total phosphorus (TP), total nitrogen (TN), and chlorophyll-a (Chl-a) from hyperspectral data. MDPC incorporates exterior and interior feature interaction and gravity model variant to improve prediction accuracy and stability with consideration of mutual effect in the proximity. The structure design and workflow of MDPC ensure high robustness and application prospect due to achievement of good performance with less training samples, improving applicability and feasibility. The experiments show that MDPC has achieved good performance on retrieval of WQPs concentrations including TP, TN, and Chl-a, the results mean absolute percent error (MAPE) and coefficient of determination (R2) ranging from 6.34 % to 11.94 % and from 0.74 to 0.93. This study provides a systematic and scientific reference to formulate a feasible and efficient water environment management scheme.

Three-Dimensional Reconstruction of the Early Christian Temples of the Roman Fortress of Pitiunt

Since 2018, the authors have been working on reconstructing the exterior of the Great Pitiunt Roman fortress in 3D. This article presents the results of the visualization of the exterior and interior of the temple complex. During the study, the dimensions and plans of the site were analyzed, revealing discrepancies in various sources. To clarify the complex’s dimensions, aerial photography using UAV was conducted, and photogrammetric models, orthophoto, and digital surface models were created. The research also uncovered previously unrecorded architectural features. During the reconstruction of the temples, much attention was paid to the structural design of the buildings, connections and load distribution. Engineering calculations have been carried out for the clarification of the structural solutions. The article presents the results of a detailed reconstruction of the exterior, interior and structural features of Temple Nos. 1–4, based on preserved archaeological evidence, excavation results, contemporaneous Early Christian sites, and an analysis of the materials and technologies used at the time. The reconstruction of the mosaic floor of Temple No. 2 allowed a realistic visualization of the interior.

NeuralCMS: A deep learning approach to study Jupiter's interior

NASA's Juno mission provided exquisite measurements of Jupiter's gravity field that together with the Galileo entry probe atmospheric measurements constrains the interior structure of the giant planet. Inferring its interior structure range remains a challenging inverse problem requiring a computationally intensive search of combinations of various planetary properties, such as the cloud-level temperature, composition, and core features, requiring the computation of sim \(10^9\) interior models. We propose an efficient deep neural network (DNN) model to generate high-precision wide-ranged interior models based on the very accurate but computationally demanding concentric MacLaurin spheroid (CMS) method. We trained a sharing-based DNN with a large set of CMS results for a four-layer interior model of Jupiter, including a dilute core, to accurately predict the gravity moments and mass, given a combination of interior features. We evaluated the performance of the trained DNN (NeuralCMS) to inspect its predictive limitations. NeuralCMS shows very good performance in predicting the gravity moments, with errors comparable with the uncertainty due to differential rotation, and a very accurate mass prediction. This allowed us to perform a broad parameter space search by computing only sim \(10^4\) actual CMS interior models, resulting in a large sample of plausible interior structures, and reducing the computation time by a factor of \(10^5\). Moreover, we used a DNN explainability algorithm to analyze the impact of the parameters setting the interior model on the predicted observables, providing information on their nonlinear relation.

New records of soft corals, genus Sarcophyton (Octocorallia: Malacalcyonacea: Sarcophytidae) from the Andaman and Nicobar Islands, India

ABSTRACT This article reports three new records of soft corals, viz. Sarcophyton boletiforme Tixier-Durivault 1958; S. cinereum Tixier-Durivault 1946; and S. turschi Verseveldt 1976, from the Andaman and Nicobar Islands, India. The specimens were collected from coral reef regions, to a depth of 25 m. Species identification involved a detailed analysis of colony morphology, sclerite structures, and measurements taken from various parts of the colony. Sarcophyton boletifome features club-shaped sclerites (up to 0.38 mm) on capitulum and stalk surfaces, and spindle-shaped sclerites (up to 1.10 mm) in the stalk interior; S. cinereum exhibits warty club-shaped sclerites, in the capitulum surface layer (0.17–0.27 mm) and in the base surface layer (0.10–0.55 mm); and stalk interior features curved or straight spindles (up to 1.77 mm). The capitulum of S. turchi bears club-shaped surface sclerites, ranging in size from 0.09 to 0.38 mm, while the stalk interior contains spindle-shaped structures ranging from 0.35 to 0.75 mm. In a time when octocorals are threatened, it is refreshing to find octocoral species that are new to the Andaman and Nicobar Islands. These islands remain amongst the most ecologically significant in the Indo-Pacific region and should be protected.

Brain tumor MRI identification and classification using DWT, PCA and kernel support vector machine

Classification, segmentation, and the identification of the infection region in MRI images of brain tumors are labor-intensive and iterative processes. Numerous anatomical structures of the human body may be envisioned using an image processing theory. With basic imaging methods, it is challenging to see the aberrant human brain's structure. The neurological structure of the human brain may be distinguished and made clearer using the magnetic resonance imaging technique. The MRI approach uses a number of imaging techniques to evaluate and record the human brain’s interior features. In this study, we focused on strategies for noise removal, gray-level co-occurrence matrix (GLCM) extraction of features, and segmentation of brain tumor regions based on Discrete Wavelet Transform (DWT) to minimize complexity and enhance performance. In turn, this reduces any noise that could have been left over after segmentation due to morphological filtering. Brain MRI scans were utilized to test the accuracy of the classification and the location of the tumor using probabilistic neural network classifiers. The classifier's accuracy and position detection were tested using MRI brain imaging. The efficiency of the suggested approach is demonstrated by experimental findings, which showed that normal and diseased tissues could be distinguished from one another from brain MRI scans with about 100% accuracy.

EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

Earth vision research typically focuses on extracting geospatial object locations and categories but neglects the exploration of relations between objects and comprehensive reasoning. Based on city planning needs, we develop a multi-modal multi-task VQA dataset (EarthVQA) to advance relational reasoning-based judging, counting, and comprehensive analysis. The EarthVQA dataset contains 6000 images, corresponding semantic masks, and 208,593 QA pairs with urban and rural governance requirements embedded. As objects are the basis for complex relational reasoning, we propose a Semantic OBject Awareness framework (SOBA) to advance VQA in an object-centric way. To preserve refined spatial locations and semantics, SOBA leverages a segmentation network for object semantics generation. The object-guided attention aggregates object interior features via pseudo masks, and bidirectional cross-attention further models object external relations hierarchically. To optimize object counting, we propose a numerical difference loss that dynamically adds difference penalties, unifying the classification and regression tasks. Experimental results show that SOBA outperforms both advanced general and remote sensing methods. We believe this dataset and framework provide a strong benchmark for Earth vision's complex analysis. The project page is at https://Junjue-Wang.github.io/homepage/EarthVQA.

Study of the process of formation of a unique congenital polydactyly in mini-pigs

The formation of a unique anomaly of the structure of the distal extremities – polydactyly in mini-pigs of the selection of the Institute of Cytology and Genetics (ICiG) SB RAS was studied. The genealogy of two looked animals with polydactyly (six–toed on the fore and hind limbs) - a black boar and a white pig, demonstrated the hereditary nature of the manifestation of this anomaly, differing depending on the method of breeding in several generations, is analysed. Anatomisation of distal fragments of the limbs of these two pigs culled at the age of 15-16 months showed the formation of differentiation of trophic structures of blood supply to the accessory fingers and tendon-ligamentous apparatus, including ligaments of the finger-lift muscle. The prepared samples were processed for histological staining and microscopy, which showed the interior features of the formation of connective and bone tissues of the phalanges of additional fingers on the fore and hind limbs, characteristic of each studied animal. The results are discussed in connection with topical issues of veterinary pathogenetics of farm animals and the context of the interest of classical and modern biology in polydactyly.

Meat productivity and interior features of fat-tailed coarse wool lambs in the south-east of Kazakhstan

Increased lamb production in the South-Eastern region of Kazakhstan confirms the economic feasibility of processing young sheep from 7 to 12 months. Unfortunately, domestic literature offers little information on the selection and appropriate use of 4-month-old lambs for this purpose; this accounts for the relevance and both scientific and practical significance of research aimed at increasing the meat productivity of 4-month-old lambs (depending on breed) in the semi-desert zone of the South-Eastern region of Kazakhstan, based on technological developments. The object of the study was lambs of fat-tailed coarse wool breeds: Edilbay, Hissar and Kazakh fat-tailed breeds. The animals were 4 months old and kept from birth in one flock at the Yntykbay farm in Almaty region. Among the three studied breeds, Gissar stands out in terms of carcass weight, slaughter weight, and specific gravity of the meat and carcass. High-quality carcasses were obtained from all groups; the Hissar breed had the yield of 17.5 kg (carcass yield was 78.3%).

A robust high-resolution potential-field edge detection filter with its application in the Indo-China Peninsula

Potential-field edge detection techniques are effective tools for identification of large-scale tectonic boundaries and geologic target bodies. Although a series of edge detectors have been developed, most of them suffer from a trade-off between edge resolution and noise immunity. To this end, we integrate multiple edge detectors such as normalized Harris filter (NHF) and ILTHG filter to propose a novel edge detector called ILGNH. The ILGNH edge detector takes advantage of both the enhanced noise immunity of NHF and the high resolution of ILTHG. Model experiments without/with noises both show that it is an alternative robust high-resolution edge detector. Afterwards, we apply this edge detection method to the Indo-China Peninsula and its adjacent areas to identify multi-phase tectonic boundaries. Combining the edge detection, residual crustal gravity anomalies (RCGA), and active faults, we identify four major NS transverse suture zones associated with microplates. These suture/boundary zones, together with deep faults, enclose 14 microplates with different interior feature of RCGA, while most of the boundaries are located in the gradient zones or the dislocation/distortion zones of the RCGA. Notably, inside the West Burma microplate, the ILGNH edge detection shows a distinct near NS-oriented arc-shaped deep boundary zone, which indicates that the underlying slab beneath the Indo-Burma Ranges was blocked during its eastward advance and shifted downward to form a high-angle deep subduction. Further, multi-scale edge detection at different depths confirms that the microplate boundary under the western Indo-China Peninsula vertically extends deeper than the eastern part. In addition, the seismicity below 50 km is concentrated to the west of the identified arc-shaped deep boundary zone and near the Naga-Kalaymyo-Arakan-Andaman Suture Zone.

Investigating the Influence of Architectural Environment in Rehabilitation Facilities on the Psychological Well-being of Military Personnel with PTSD symptoms

This article delves into a crucial aspect of this challenge: how the design and layout of physical spaces affect the mental health and overall quality of life of military personnel displaying symptoms of Post-Traumatic Stress Disorder (PTSD). Veterans who have encountered traumatic and life-threatening situations during their service often grapple with emotions like fear, helplessness, and distress. This group is particularly vulnerable to the effects of PTSD, with a significant portion experiencing these symptoms. Recent studies shifted in focus towards understanding and mitigating triggers for PTSD symptoms underscores the importance of investigating how architectural and urban design elements impact the well-being of these individuals. A review of current literature reveals that while progress has been made in understanding the psychological well-being of veterans and the design of rehabilitation centers, much of this research remains fragmented. Existing data mostly pertains to indirect and general guidelines for architectural design and planning. International literature offers a more extensive body of work, encompassing a wide array of aspects related to the creation of stress-reducing environments. It is imperative to consider how various architectural and urban design elements either exacerbate or alleviate PTSD symptoms. Hence, understanding potential connections between these elements and symptom triggers holds critical significance for veterans' well-being. The primary focus of this study involved conducting semi-structured interviews with veterans experiencing PTSD symptoms to identify and formulate recommendations for the design of the interior and exterior environments within rehabilitation facilities. The questionnaire included questions about architectural features that had either positively or negatively affected the veterans' mental well-being. Notably, most of the recommendations derived from previous research align with the preferences expressed by the veterans, considering specific nuances related to the psychological states of individuals following combat experiences. The results underscore the importance of creating a supportive and empathetic social environment that respects the need for privacy (private spaces), fosters transparency and comprehension of the design logic (open spaces), adheres to insulation and acoustic requirements, and incorporates specific structural and interior features in facilities of this kind. Although the study featured a relatively small sample size, the detailed examination of veterans' preferences and their enthusiastic responses validate the relevance of these recommendations. The imperfections found in existing facilities highlight the ongoing necessity for further exploration, additional interviews, and refined proposals for the renovation and reorganization of rehabilitation institutions serving veterans with PTSD symptoms. In summary, this article investigates how architectural environments impact the mental well-being of military personnel with PTSD symptoms. It takes a unique approach by incorporating veterans' own experiences to create recommendations and approaches for designing rehabilitation centers aimed at providing more effective and compassionate support for veterans. This research contributes to an expanding body of knowledge seeking to enhance the well-being and recovery of veterans with PTSD, ultimately aiming for a more comprehensive understanding of the role of architectural design in mental health support.

Scalable Ultralight Wood-Inspired Aerogel with Vertically Aligned Micrometer Channels for Highly Efficient Solar Interfacial Desalination.

An ultralight material that simultaneously combines remarkably rapid water transportation, highly efficient photothermal conversion, and excellent thermal insulation is highly desired for solar-driven interfacial desalination but was challenging. In this work, inspired by the unique natural structure of wood, we developed an ultralight aerogel by ice-templated synthesis as an integrated interfacial evaporator for solar-driven water production. The interior features vertically aligned biomimetic microscale channels facilitating rapid transportation of water molecules, while an improved photothermal interface allows high solar absorption and conversion via nonradiative relaxation and molecular vibrations. The biomimetic aerogel is ultralight with a density as low as 0.06 g/cm3, especially its fabrication is size- and shape-programmable as a whole and easily scalable. Additionally, the outstanding thermal insulation of the aerogel focuses heat precisely at the evaporation interface, reducing ineffective heat loss, while the uniformly distributed large-sized channels promote the dynamic convection of high concentration salt ions on the evaporator surface. Consequently, the evaporator shows broadband light absorption of 92.7%, leading to a water evaporation rate reaching 4.55 kg m-2 h-1 under 3 simulated solar irradiations, much higher than that of other reported evaporators with randomly distributed pores. This work provides new insight into advanced hybrid aerogels for highly efficient and durable solar-driven interfacial desalination systems.

A Thermal Insulation and UV-Resistant System based on Aerogel for Settlements on the Moon and Mars

Abstract: This paper presents a novel design for a habitable outpost on both the Moon and Mars that leverages the exceptional properties of aerogel - a material composed of 99% air, offering outstanding thermal insulation and UV protection. The outpost is engineered to withstand extreme temperature variations on Mars (-153°C to 20°C) and the Moon (-173°C to 127°C) using a single material. Protection against harmful UV rays is crucial for sustaining human life as prolonged exposure can lead to DNA damage and cancer. To safeguard the aerogel layer from meteoroids, Martian soil is utilized on Mars, and lunar soil on the Moon. The interior features a fiber composite layer, supported by a mechanical structure made from Martian concrete (ice, calcium oxide, and Martian aggregate) or lunar concrete (ice, calcium oxide, and lunar aggregate). The composite can be assembled on Earth with an inflatable system or sent to Mars in multiple missions for on-site assembly. Light transmission with radiation resistance is achieved using translucent silica aerogel filters for glass windows. The paper also includes heat transfer calculations between the internal and external environments of the habitat, as well as strength assessments of the habitat, taking into account the insulation and UV resistance provided by the protective soil layer.

Custom Silicone Distal Cup Designed and Fabricated Using 3D Optical Scanning and Additive Manufacturing to Improve Socket Fit of an Individual with Tranfemoral Amputation with Irregular Distal Residual Limb Morphology

ABSTRACT Introduction The study presents the design and manufacturing of a custom silicone distal cup, with a high spatial resolution, to fit inside the prosthetic liner for the treatment of irregular morphology at the distal residual limb of a patient with lower-limb amputation. This distal cup for the inside of the prosthetic liner has intricate interior features matching the shape of the distal residual limb to prevent localized high-pressure regions. Methods High-resolution 3D optical scanning, computer-aided design (CAD), and material extrusion (MEX) process for additive manufacturing of molds are three key techniques for designing and manufacturing this custom distal cup. A three-part mold for molding the distal cup with matching features was designed by CAD and fabricated by MEX. The subject evaluated the distal cup by walking using the distal cup before wearing the prosthetic liner in the lower-limb prosthesis. Results A custom silicone distal cup was fabricated using a 3D-printed mold and evaluated using a Prosthetic User’s Survey. Based on the survey, the insert has an acceptable comfort, suspension requirement, and ease of use. Conclusions The scan by high spatial resolution Space Spider optical scanner could capture detailed features of the distal residual limb. The resulting distal cup had the protrusion that functioned to separate the invaginations. The subject was satisfied with the distal cup based on the Prosthetic User’s Survey. Clinical Relevance The approach to fabricate the custom silicone distal cup using a high-resolution 3D optical scanner and a 3D-printed mold can be applied to fabricate the distal cup with intricate features for a patient with irregular morphology at the distal residual limbs.

Cami mimarisinde modern ve geleneksel temsil: Üç caminin analitik karşılaştırması Ankara, Türkiye

This article examines three "modern" mosques in Ankara, the capital city of Turkey. Specifically, it researches examples of innovative and authentic mosque architecture, which considerably varies from "Ottoman-type" mosques that heavily dominate the inventory of mosques in Turkey. The Republican period after the Ottoman Empire in Turkey witnessed an ongoing discussion and competition between modern and traditional examples of mosque architecture. Although this problem has been considered in different dimensions, it has generally been discussed by classifying the mosques as "modern" or "traditional" in the academy. It is thought that this classification should be based on the different physical characteristics of mosques, which form the repertoire of tradition in mosque architecture. In this study, the exemplary mosques selected for the inquiry were examined according to 18 different factors that were grouped under six categories considering the physical and interior features of the mosques: namely, mass and facade design, spatial organization, interior forms, architectural program, material selection and ornament details. The research aims to contribute to discussing modern and traditional representation in mosque architecture and clarify ambiguity in understanding and distinguishing between "tradition," "traditional," and "modern," which are essential meanings in mosque architecture.

Jupiter’s interior from Juno: Equation-of-state uncertainties and dilute core extent

Context. The Juno mission has provided measurements of Jupiter’s gravity field with an outstanding level of accuracy, leading to better constraints on the interior of the planet. Improving our knowledge of the internal structure of Jupiter is key to understanding its formation and evolution but is also important in the framework of exoplanet exploration. Aims. In this study, we investigated the differences between the state-of-the-art equations of state and their impact on the properties of interior models. Accounting for uncertainty on the hydrogen and helium equation of state, we assessed the span of the interior features of Jupiter. Methods. We carried out an extensive exploration of the parameter space and studied a wide range of interior models using Markov chain Monte Carlo simulations. To consider the uncertainty on the equation of state, we allowed for modifications of the equation of state in our calculations. Results. Our models harbour a dilute core and indicate that Jupiter’s internal entropy is higher than what is usually assumed from the Galileo probe measurements. We obtain solutions with extended dilute cores, but contrary to other recent interior models of Jupiter, we also obtain models with small dilute cores. The dilute cores in such solutions extend to ~20% of Jupiter’s mass, leading to better agreement with formation–evolution models. Conclusions. We conclude that the equations of state used in Jupiter models have a crucial effect on the inferred structure and composition. Further explorations of the behaviour of hydrogen–helium mixtures at the pressure and temperature conditions in Jupiter will help to constrain the interior of the planet, and therefore its origin.

INBREEDING IN BEEKEEPING AND BREEDING

The bee family belongs entirely to the class of insects in the genus Apis, and in its way of life, it has the characteristics of higher warm-blooded animals. It is the family as a biological unit that exists all the time. Inside the family, the temperature is always favorable (+36 ºC). It, unlike insects, does not go into anabiosis. The bee family is not a pet and cannot even be tamed. The man uses bee families’ homes as blackbrown foxes, sables, and other game animals. Man has spent the last 200 years trying to create a system of breeding in beekeeping. But instead of working with bee families, all continents have worked only with queen bees, not with families. Working only with uteruses cannot solve the breeding problem or give a desirable positive result. During these two centuries, scientists have created many new breeds: cattle, sheep, pigs, horses, chickens, dogs, etc. During these two centuries, scientists have made many new breeds: cattle, sheep, pigs, horses, chickens, dogs, etc. As far as beekeeping is concerned, what we started with, we got. Sometimes for self-deception, they proclaim that they created the Priokskaya breed, the Krasnaya Polyana breed, the Bakfastovskaya breed, etc. They only got the mongrels. Bee families and family members: queens, dormice, and worker bees retained their original behavioral, exterior, and interior features. The only progress has been in the technology of keeping, caring for, and reproducing bee families. Reproduction in a bee family is twofold: sexual and asexual. Sexless reproduction is natural, and humans can reproduce families artificially. The bee family members are born sexually: mothers, drones, and worker bees. Only bee families reproduce asexually. Over two centuries, various authors have produced a vast amount of literature on breeding. All breeding methods aim to breed mothers and place them in ordinary families to improve them. The scientists conducted such studies in our country, Europe, and the United States. But over two centuries, no breed has been created using only the mothers alone. Over this long period, no breeders have noticed how nature has created dozens of bee breeds. Breeders were not interested, let alone studied “in what way nature created dozens of bee breeds.” Individual scientists have made attempts and tried to unravel the secrets of nature. The solution to this question was close to C. Darwin, A.F. Gubin, I.A. Khalifman, and V.A. Gubin. We at the Kemerovo experimental station and then at the Department of Zoology and Fisheries of the Novosibirsk Agricultural Institute (now Novosibirsk State Agrarian University) studied this issue, and we solved the mysteries of nature and received sensational answers to them.

Exploring Visual Biophilic Interior Design Features in Homes: An Experimental Study through a Virtual Environment Design

Exploring Visual Biophilic Interior Design Features in Homes: An Experimental Study through a Virtual Environment Design