Detailed Architecture Research Articles

Parallel evolution of angiosperm-like venation in Peltaspermales: a reinvestigation of Furcula.

Leaf venation is a pivotal trait in the success of vascular plants. Whereas gymnosperms have single or sparsely branched parallel veins, angiosperms developed a hierarchical structure of veins that form a complex reticulum. Its physiological consequences are considered to have enabled angiosperms to dominate terrestrial ecosystems in the Late Cretaceous and Cenozoic. Although a hierarchical-reticulate venation also occurs in some groups of extinct seed plants, it is unclear whether these are stem relatives of angiosperms or have evolved these traits in parallel. Here, we re-examine the morphology of the enigmatic foliage taxon Furcula, a potential early Mesozoic angiosperm relative, and argue that its hierarchical vein network represents convergent evolution (in the Late Triassic) with flowering plants (which developed in the Early Cretaceous) based on details of vein architecture and the absence of angiosperm-like stomata and guard cells. We suggest that its nearest relatives are Peltaspermales similar to Scytophyllum and Vittaephyllum, the latter being a genus that originated during the Late Triassic (Carnian) and shares a hierarchical vein system with Furcula. We further suggest that the evolution of hierarchical venation systems in the early Permian, the Late Triassic, and the Early Cretaceous represent 'natural experiments' that might help resolve the selective pressures enabling this trait to evolve.

Automated detailing of exterior walls using NADIA: Natural-language-based architectural detailing through interaction with AI

Learning building information modeling (BIM) systems has always been a challenge for BIM adoption. Although groundbreaking performances of large language models (LLMs) have inspired many researchers to consider an LLM as a potential BIM control method using natural language, a specific method of utilizing LLMs for automated BIM model detailing has not yet been proposed. This paper proposes an LLM-BIM chaining framework to enable architectural design detailing using natural language, instead of using menu-based user interfaces, named “Natural-language-based Architectural Detailing through Interaction with AI (NADIA)”. The NADIA framework is based on three main approaches: 1) separating the specification of the wall layers from the creation of the wall layers; 2) appropriate instruction prompting to guide the LLM to minimize irrational responses and produce engineering rational details; and 3) LLM-BIM chaining to seamlessly link a BIM authoring tool and an LLM. The effectiveness of NADIA was validated based on two main aspects: its accuracy in generating details that adhere to specified design requirements from users—as a design assistant—and its compliance with general engineering requirements—as a design consultant. The validation was achieved through tasks that involved generating 240 and 1,920 exterior wall details, respectively. NADIA achieved an average accuracy of 83.33% in generating logically coherent details in line with the required design conditions. For thermal performance requirements, it demonstrated a mean accuracy of 98.54% in complying with the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) 20.1–2019 standard. Despite being in its early stages, NADIA’s potential for developing and refining architectural details through natural language-based interactions between architects and machines is promising.

Histological and Histomorphometrical Characterization of the Cardiac Architecture in Pre-natal Non-descript Sheep (Ovis aries)

Background: Being the vital organ of circulatory system, the development of the heart before birth must be studied to safeguard the animal from the incidence of various developmental anomalies. The histological and histomorphometrical details of cardiac architecture especially in pre-natal sheep have not yet been reported. Methods: The foeti of sheep were collected from the local slaughter houses situated at Laxmisagar and Jadupur of Bhubaneswar city. The collected foeti were divided into three age groups viz. early prenatal (up to 50 days) or G-I, mid prenatal (51-100 days) or G-II and late prenatal (101 to 150 days) or G-III. The heart samples of the sheep foeti were processed by routine paraffin technique and after section cutting, the slides were stained by routine Haematoxyline and Eosin stains, Masson’s trichrome stain, Verhoeff’s stain and Gomori’s stain for studying the detailed histological and histomorphometrical parameters. Result: It was revealed that the cells lining the endocardium and epicardium became elongated from flat shape with advancing age. The intercalated discs appeared continuous from broken lines with advancing age in the myocardium of cardiac wall in sheep foeti. The frequency of blood vessels, connective tissue fibres and connective tissue cells increased with age in the subendothelium, subepicardium, myocardium and epicardium in the sheep foeti. The average thickness of heart chambers, average diameter of the myocardiocytes and their nuclei in atrial and ventricular walls, papillary muscles, pectinate muscles and Purkinje fibre cells revealed an age dependent rise in sheep foeti of G-I to G-III. The frequency distribution of myocardiocytes and fibroblast in myocardium also increased with in sheep foeti of G-I to G-III.

Exploring the muscle architecture effect on the mechanical behaviour of mouse rotator cuff muscles

Incorporating detailed muscle architecture aspects into computational models can enable researchers to gain deeper insights into the complexity of muscle function, movement, and performance. In this study, we employed histological, multiphoton image processing, and finite element method techniques to characterise the mechanical dependency on the architectural behaviour of supraspinatus and infraspinatus mouse muscles. While mechanical tests revealed a stiffer passive behaviour in the supraspinatus muscle, the collagen content was found to be two times higher in the infraspinatus. This effect was unveiled by analysing the alignment of fibres during muscle stretch with the 3D models and the parameters obtained in the fitting. Therefore, a strong dependence of muscle behaviour, both active and passive, was found on fibre orientation rather than collagen content.

A MOBILE APPLICATION FOR THE AUTOMATED DIAGNOSIS OF DISEASES OF AGRICULTURAL CROPS AND THE SELECTION OF RECOMMENDATIONS FOR THEIR TREATMENT

The aim of the study was a mobile development based on computer vision technologies and site parsing, which allows automating the process of diagnosing diseases of agricultural crops and issuing recommendations for treatment. The article discusses methods for recognizing plant diseases using computer vision, describes the principles of convolutional neural networks, selects the most appropriate machine learning model based on the accuracy, speed and efficiency of the model in conditions of limited resources of a mobile device, describes the tools: libraries and frameworks used for development. The detailed architecture of the application is presented, as well as the results of the developed software are demonstrated. A new contribution to the development of this topic is the experimental substantiation of the choice of a neural network model based on the analysis of its effectiveness on a prepared dataset, as well as the introduction of an automatic search for recommendations for a certain disease of agriculture. In the future, it is planned to introduce a voice assistant into this mobile application.

Curating culture: Instagram and the visual representation of heritage tourism in Surabaya

This study investigates how Instagram shapes public engagement with cultural heritage through a case study in Surabaya, Indonesia. Surabaya possesses diverse assets; however, its tourism potential remains underexplored compared with established destinations such as Yogyakarta. Instagram offers opportunities to study how Surabaya’s identity is visually constructed and promoted to visitors. Through hashtag #surabayaheritage, users practice certain perspectives on the city’s multifaceted history. This study aims to investigate how Instagram shapes public engagement with cultural heritage through a case study of Surabaya, Indonesia. Specifically, this research examines how Surabaya's identity is visually constructed through the hashtag #surabayaheritage on Instagram. Employing both qualitative content analysis and critical visual discourse, this study examined 100 top Instagram posts, revealing that heritage discourse dominated the posts, with Dutch colonial buildings being the primary photographic subjects. The research findings also emphasise that while the historical discourse emphasises architectural details and educational history, it marginalises other aspects of cultural heritage, especially those that do not originate from the colonial era. By applying visual discourse analysis, this aestheticised selective gaze indicates the productive power of Instagram conventions in framing heritage sites. Further research should incorporate non-Instagram perspectives and spatial analysis. As heritage tourism expands globally, critical examination of social media discourse provides vital insights into the risks and opportunities for inclusive and sustainable development, particularly for local communities.

Tracking of Bacteriophage Predation on Pseudomonas aeruginosa Using a New Radiofrequency Biofilm Sensor.

Confronting the challenge of biofilm resistance and widespread antimicrobial resistance (AMR), this study emphasizes the need for innovative monitoring methods and explores the potential of bacteriophages against bacterial biofilms. Traditional methods, like optical density (OD) measurements and confocal microscopy, crucial in studying biofilm-virus interactions, often lack real-time monitoring and early detection capabilities, especially for biofilm formation and low bacterial concentrations. Addressing these gaps, we developed a new real-time, label-free radiofrequency sensor for monitoring bacteria and biofilm growth. The sensor, an open-ended coaxial probe, offers enhanced monitoring of bacterial development stages. Tested on a biological model of bacteria and bacteriophages, our results indicate the limitations of traditional OD measurements, influenced by factors like sedimented cell fragments and biofilm formation on well walls. While confocal microscopy provides detailed 3D biofilm architecture, its real-time monitoring application is limited. Our novel approach using radio frequency measurements (300 MHz) overcomes these shortcomings. It facilitates a finer analysis of the dynamic interaction between bacterial populations and phages, detecting real-time subtle changes. This method reveals distinct phases and breakpoints in biofilm formation and virion interaction not captured by conventional techniques. This study underscores the sensor's potential in detecting irregular viral activity and assessing the efficacy of anti-biofilm treatments, contributing significantly to the understanding of biofilm dynamics. This research is vital in developing effective monitoring tools, guiding therapeutic strategies, and combating AMR.

Analytical Evaluation of Midjourney Architectural Virtual Lab: Defining Major Current Limits in AI-Generated Representations of Islamic Architectural Heritage

In artificial intelligence (AI), generative systems, most notably Midjourney, have tremendous power to generate creative images of buildings and sites of Islamic architectural heritage through text-to-image generation based on the internet. The AI-generated representations have significant potential for architects, specialists, and everyday users. However, the system has considerable limitations when generating images for some buildings and sites where the representations appear too far from their original represented structures. Evaluating Midjourney as an architectural virtual lab, this research article attempts to define the major current limitations of using Midjourney’s AI system in producing images similar to the actual buildings and sites of Islamic architectural heritage. This research employs prompt engineering techniques based on historical sources as inputs to examine the accuracy of the output of the AI-generated images of selected examples of structures of the Islamic tradition. To validate the research results, it compares the Midjourney output with the original look by employing direct observation through critical analysis of human intelligence (HI) facilitated by the analysis of the latest version of 3M Visual Attention Software and an online survey. It concludes that while Midjourney can represent high-end AI-generated images inspired by the Islamic tradition, it currently falls short of presenting the actual appearance of some of its original structures. Furthermore, it categorizes these limitations into four groups: (1) limits of the prompt, (2) limits of fame, (3) limits of regionality and historical styles, and (4) limits of architectural elements and details. The significance of this research lies in providing timely evaluation factors to architectural heritage practitioners and software developers. This practical article is the second in a series of two sequential articles in the Buildings journal; the first (theoretical) article introduces the concept of Artificial Intelligence Islamic Architecture (AIIA), answering the question: what is Islamic architecture in the age of artificial intelligence?

Battery and/or supercapacitor?—On the merger of two electrochemical storage system families

Similarities and analogies between materials, structures, operating and construction principles of secondary batteries and supercapacitors and their electrodes are presented, named and reviewed in context. On the material level several materials used both in batteries and supercapacitors are addressed, implications from observations made in one application for the other one are highlighted. On the electrode level a continuous change of architectural details is observed when going from an electrode with high charge storage capability to an electrode supporting high currents is detected, again this overlap provides instructive ideas for both fields. On the cell level combinations of electrodes from both fields yielding hybrid devices are an obvious outcome again with implications for both fields. Ideas and suggestions for further research and development based on a deeper exchange between both families are developed.

The genome of Haberlea rhodopensis provides insights into the mechanisms for tolerance to multiple extreme environments

Haberlea rhodopensis, a resurrection species, is the only plant known to be able to survive multiple extreme environments, including desiccation, freezing temperatures, and long-term darkness. However, the molecular mechanisms underlying tolerance to these stresses are poorly studied. Here, we present a high-quality genome of Haberlea and found that ~ 23.55% of the 44,306 genes are orphan. Comparative genomics analysis identified 89 significantly expanded gene families, of which 25 were specific to Haberlea. Moreover, we demonstrated that Haberlea preserves its resurrection potential even in prolonged complete darkness. Transcriptome profiling of plants subjected to desiccation, darkness, and low temperatures revealed both common and specific footprints of these stresses, and their combinations. For example, PROTEIN PHOSPHATASE 2C (PP2C) genes were substantially induced in all stress combinations, while PHYTOCHROME INTERACTING FACTOR 1 (PIF1) and GROWTH RESPONSE FACTOR 4 (GRF4) were induced only in darkness. Additionally, 733 genes with unknown functions and three genes encoding transcription factors specific to Haberlea were specifically induced/repressed upon combination of stresses, rendering them attractive targets for future functional studies. The study provides a comprehensive understanding of the genomic architecture and reports details of the mechanisms of multi-stress tolerance of this resurrection species that will aid in developing strategies that allow crops to survive extreme and multiple abiotic stresses.

Operating room architecture in otolaryngology and extracranial surgery: A review

ObjectiveTo determine the best architectural plan for the extracranial and otolaryngology operating room Date SourcesPubMed and the Avery Index to Architectural Periodicals, Art Full Text, and Art Index Retrospective MethodsWe queried PubMed and the Avery Index to Architectural Periodicals, Art Full Text, and Art Index Retrospective for the key words ‘architecture’ ‘operating room’ and ‘otolaryngology.’ No relevant articles were found between 1989 and 2023. We created schematic diagrams of operating rooms in which we have operated over our combined careers and present the safest and most efficient configuration of the extracranial and otolaryngology surgery operating room. ResultsNo articles were identified. The architecture and medical literature have no recommendations for design and architectural details relevant to the extracranial operating room. ConclusionOur specialty may wish to be proactive about this area of importance to our specialty. The medical, art, architecture literature offers no guidance for the optimal design and architectural layout of the extracranial operating room. Details to consider in such planning include patient and staff safety, anticipated patient and staff movement, OR efficiency, equipment size, placement and movement, line, and cord placement, and finally supply access. The authors suggest a configuration for the design and architectural layout for the extracranial surgery operating room.

STUDY OF BIOPHILIC CONCEPT IN PONDOK INDAH BINTARO HOSPITAL

A hospital is a medical facility that aims to improve the quality of life of the community through the process of preventing, treating, and medicating health problems. The mix of hope for recovery and the risk of death creates the impression that the hospital is a scary place, which affects the patient's psychological condition and causes other problems. Biophilic is an architectural approach that aims to have a positive influence on the human psyche by fulfilling his instinctive need for affiliation with nature. This study aims to understand the application of the biophilic concept at Pondok Indah Bintaro Hospital. The method used is descriptive qualitative with analysis based on the theory of 14 biophilic patterns by Browning, Ryan, and Clancy, through a hospital with a biophilic architecture that represents natural systems at a site scale through nature in space. At the building scale, biophilic is applied through architectural details that analogize natural forms (nature analogues), as well as natural spatial characteristics that affect human perception (nature of space).

ПРОБЛЕМАТИКА ВИКОРИСТАННЯ БЕЗПРОВІДНИХ СЕНСОРНИХ МЕРЕЖ У ВІЙСЬКОВИХ ЦІЛЯХ

The article analyzes wireless sensor networks and identifies their advantages and disadvantages when used for military purposes. It is proposed to consider the architecture of the network based on a four-level model, which consists of the level of sensors, data channels, data processing and applications for creating various types of services. This creates a versatile and effective set of instruments for solving various tasks of special purpose for military purposes. The structure of a wireless sensor network for military use is considered in detail, taking into account the variety of sensors and their purpose. It also emphasizes the importance of compact and efficient sensors for military purposes, which contain means of digital information processing, receiver and transmitter, including measurements of electromagnetic waves, light, pressure, sound. The possibility of creating sensor fields based on unmanned aerial vehicles and their use for security and information gathering is noted. Data link parameters are detailed, including signal strength and signal level at the receiving end. The importance of space scanning radars for ensuring the safety of unmanned aerial vehicles in the conditions of wind speed and obstacles is noted. The article points out the problems of energy and computing resources when using sensors, in particular, the limitation of energy consumption and the length of the information transmission channel. Methods of rationalizing energy consumption by aggregating data and using clustering protocols are proposed. The main idea of the article is that the use of wireless sensor networks for military purposes requires attention to architectural details, sensor selection and power consumption optimization to ensure effective and reliable use of this system for its intended purpose, which will lead to the successful completion of the task by the unit. Therefore, the main advantages include the simplicity and flexibility of deploying sensor fields and the prompt receipt of information directly from the contact line, which is the key to a quick response to the enemy's actions.

Carboniferous bimodal volcanic sequences along the Northeastern Pamir: Evidence for back-arc extension due to northward subduction of the Paleo-Tethys

The Pamir plateau lies at the western end of the Tethys domain recording the entire evolution from the opening of the Proto-Tethys to the final closure of the Neo-Tethys. During this long-term evolution, the details of the initial subduction of the Paleo-Tethys and the final amalgamation of the main terranes in the Pamir are still controversial. The Carboniferous bimodal volcanic sequences along the Northern Pamir may supply the key evidence to reveal the subduction process of the Paleo-Tethys Ocean. This study presents the detailed stratigraphic architecture, petrography, geochronological and geochemical data of the Carboniferous−Permian volcanic rocks along the Northern Pamir in western China bordering Tajikistan. Zircons from two plagioclase phenocryst-rich basalts, and an andesite, volcanic agglomerate, and granitic sill emplaced in the basalts yield concordant ages of 319.5 ± 2 Ma, 322.7 ± 1.6 Ma, 288.7 ± 2.5 Ma, 301.6 ± 4.2 Ma, and 300.4 ± 1.5 Ma, respectively. The basalts show mid-oceanic-ridge basalt−like geochemical features with flat to depleted light rare earth element trends [(La/Yb)N = 0.68−1.82], depleted whole-rock εNd(t) (6.44−7.85), and zircon εHf(t) (6.3−10.1) values, suggesting they are primitive magmas derived from a depleted mantle source metasomatized by earlier subduction in line with their low Nb/La ratios (0.30−0.64). As for the intermediate-acid volcanic rocks (andesite and dacite), they show enrichment of large ionic lithophile elements (e.g., Rb, Ba, and Sr) and depletion of high field strength elements (e.g., Nb, Ta, and Ti) as well as negative εNd(t) values ranging from −0.97 to −0.75, demonstrating that they are primitive magmas derived from partial melting of the metasomatized lithospheric mantle source, followed by crystal fraction of hornblende, plagioclase, and minor quartz. Taking together the stratigraphic features, rock associations, and geochemical signatures, the Carboniferous basalts share most features with the Okinawa and the Mariana back-arc basalts. Integrating the new data with the previous studies, we construct a detailed evolution process of the Paleo-Tethys Ocean at the Pamir, i.e., extension of the filled residual Proto-Tethys Ocean between the Tarim and the Northern Pamir induced by the northward Paleo-Tethys subduction in the early Carboniferous, gradually waning of the back-arc basin from the late Carboniferous to the Early Permian, and finally, the closure of the Paleo-Tethys Ocean led to the amalgamation of the Northern, the Central, and the Southern Pamir, resulting in the initial architecture of the Pamir.

High-performance, power-efficient three-dimensional system-in-package designs with universal chiplet interconnect express

Universal chiplet interconnect express (UCIe) is an open industry standard interconnect for a chiplet ecosystem in which chiplets from multiple suppliers can be packaged together. The UCIe 1.0 specification defines interoperability using standard and advanced packaging technologies with planar interconnects. Here we examine the development of UCIe as the bump interconnect pitches reduce with advances in packaging technologies for three-dimensional integration of chiplets. We report a die-to-die solution for the continuum of package bump pitches down to 1 µm, providing circuit architecture details and performance results. Our analysis suggests that—contrary to trends seen in traditional signalling interfaces—the most power-efficient performance for these architectures can be achieved by reducing the frequency as the bump pitch goes down. Our architectural approach provides power, performance and reliability characteristics approaching or exceeding that of a monolithic system-on-chip design as the bump pitch approaches 1 µm.

Complex facies architecture of unusual pyroclastic density current deposits at the Rincón de la Vieja Volcano, Costa Rica

Pyroclastic Density Currents (PDCs) constitute a complex, multiphase, and multiscale volcanic process generated in a wide spectrum of eruptive scenarios and being among the most deadly and destructive volcanic hazards. Over the north flank of the Rincón de la Vieja Volcano, Costa Rica, previous works identified PDC deposits related to the plinian Río Blanco eruption, which is the largest Holocene explosive event recorded at this volcano. However, so far, there have been no in-depth studies aimed at understanding the eruptive style, and dynamics of the parental PDCs. This work presents, for the first time, a detailed facies analysis and architecture reconstruction (plus a geochemical characterization and novel C14 age determinations) of these outstanding deposits. The presence of cauliflower bombs, juvenile mega-blocks, scorias, and pumices, coupled with the scarcity of accidental and/or accessory lithics, is interpreted here as evidence of an unusual eruptive style. We propose that the Río Blanco eruption was a single complex eruption consisting of two successive phases, each involving the drainage of distinct magma batches. The PDCs were related to the sudden spill out of a lava-pool (Arenal-type PDC), during the collapse of an ultraproximal pyroclastic cone that was built in an initial plinian phase. The collapse of this ultraproximal cone produced a leading-edge pumice-rich PDC, which increased its mobility through fragmentation-induced fluidization. This leading edge PDC was followed by successive high concentrated, mafic, modified granular flow pulses derived from the lava-pool spill out. These modified granular flows were highly channelized in proximal zones, but when they reached the main break in slope, the basal underflow froze en masse while its upper, more diluted part started to decouple and move in a more unconfined manner. After the decoupling, the material feeding towards the basal zone of the surviving current produced a new underflow by rapid suspension sedimentation (“surge-derived pyroclastic flows”). Finally, our results indicate that the generation of Arenal-type PDCs is an underestimated scenario that should be considered in future short-term hazard and risk assessments at the Rincón de la Vieja Volcano, as well as in many other stratovolcanoes worldwide.

A Deep Convolutional Neural Network for Pneumonia Detection in X-ray Images with Attention Ensemble.

In the domain of AI-driven healthcare, deep learning models have markedly advanced pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the efficacy of medical decision systems. This paper presents a novel approach utilizing a deep convolutional neural network that effectively amalgamates the strengths of EfficientNetB0 and DenseNet121, and it is enhanced by a suite of attention mechanisms for refined pneumonia image classification. Leveraging pre-trained models, our network employs multi-head, self-attention modules for meticulous feature extraction from X-ray images. The model's integration and processing efficiency are further augmented by a channel-attention-based feature fusion strategy, one that is complemented by a residual block and an attention-augmented feature enhancement and dynamic pooling strategy. Our used dataset, which comprises a comprehensive collection of chest X-ray images, represents both healthy individuals and those affected by pneumonia, and it serves as the foundation for this research. This study delves deep into the algorithms, architectural details, and operational intricacies of the proposed model. The empirical outcomes of our model are noteworthy, with an exceptional performance marked by an accuracy of 95.19%, a precision of 98.38%, a recall of 93.84%, an F1 score of 96.06%, a specificity of 97.43%, and an AUC of 0.9564 on the test dataset. These results not only affirm the model's high diagnostic accuracy, but also highlight its promising potential for real-world clinical deployment.

A new method for voxel‐based modelling of three‐dimensional forest scenes with integration of terrestrial and airborne LiDAR data

Abstract Simulating realistic three‐dimensional (3D) forest scenes is useful in understanding the links between forest structure and ecosystem functions (e.g. radiative transfer). Light detection and ranging (LiDAR) technology provides useful 3D data for forest reconstructions since it can characterise 3D structures of individual trees and canopies. High‐density terrestrial LiDAR (terrestrial laser scanning, TLS) is suitable for fine‐scale reconstructions but is limited to smaller forest plots; low‐density airborne LiDAR (airborne laser scanning, ALS) can cover larger areas but is only suitable for coarse‐scale reconstructions. How to take advantage of TLS and ALS to enable fine‐scale forest simulations in large areas needs to be studied. We propose a new voxel‐based method for forest simulations using the integration of TLS and ALS data. TLS data of representative reference trees are used to approximate the detailed architectures of the whole forest scene, with structural information on each individual tree extracted from ALS data. The high‐density point cloud data derived from TLS and ALS data are voxelised using high resolution solid voxels for scene representation. We tested the proposed method using two virtual forests (108 m × 108 m) and a real forest (300 m × 300 m) with conifer and broadleaf species. The physically based ray tracer (PBRT) was used to visualise the true virtual forest scenes, whereas voxel‐based radiative transfer (VBRT) was used to visualise the modelled forest scenes from LiDAR data. For the real forest scene, simulated and real ALS data were compared. Our results demonstrate that the images simulated by VBRT and PBRT are similar in the virtual forest scenes, with average radiance values of 1.02 and 1.72, respectively. In the real forest scene, the distributions of points and individual tree attributes (tree height, crown radius, and tree volume) derived from real and simulated ALS also match well, with Kullback–Leibler divergence ranging from 0.006 to 0.06. We conclude that the new method is capable of modelling fine‐scale 3D forests in large areas (over 1 ha) when TLS and ALS data are available, and it has good potential in studying the process of radiative transfer in conifer and broadleaf forests.

New insights into endolithic palaeocommunity development in mobile hard substrate using CT imaging of bioeroded clasts from the Pliocene (Almería, SE Spain).

Bioeroded carbonate clasts from a Pliocene shallow-marine succession of Almería (SE Spain, Betic Cordillera) were analysed with computed tomography (CT). This revealed the detailed 3D architecture of bioerosion structures hidden within and allowed for their ichnotaxonomic identification (14 ichnospecies of 5 ichnogenera) and quantification. Borings are produced by worms, mostly polychaetes and sipunculids dominated, followed by bivalves and lastly by sponges. The crosscutting relationship between the borings and their preservation characteristics points to a complex colonization history of the clasts with repeated bioerosive episodes interrupted by physical disturbances, including overturning and abrasion of the clasts followed by their recolonization. Our findings facilitated paleoenvironmental interpretation and can be compared to analogous modern-day ecological succession. The sharp dominance of worm borings - early successional species - may be related to frequent, periodic, physical disturbance that possibly prevented the cobble-dwelling macroboring community from being overtaken by sponges - late successional taxa. CT, hand sample and petrographic observations detected, aside from borings, other irregularly shaped pores which are interpreted to be generated by diagenetic processes including dolomitization, silicification and dissolution, representing an intraparticle moldic and moldic enlarged porosity. Boring porosity crosscutting the diagenetically altered grains suggests the later occurrence of bioerosion processes. Irregular shapes ranging from roughly spherical, elongate sub-polyhedral to amoeboid resemble morphologies produced by modern sponges. Moldic pores possibly acted as primary domiciles for boring sponges, which infested, altered and enlarged pre-existing pores as they grew (as happens in the modern), providing an example of how biological and non-biological processes interacted and together influenced endolithic palaeocommunity development.

Using process model to define the legislative framework of electronic prescription in the Czech Republic.

Defining legislation for electronic prescription systems (EPS) is inherently challenging due to conflicting interests and requirements. The study aimed to develop a comprehensive EPS within the Czech healthcare framework, integrating legislative, process, and technical aspects to ensure security, user acceptability, and compliance with health regulations. A process modeling tool based on hierarchical state machines was employed to create a detailed process architecture for the EPS. Key participants, scenarios, and state transitions were identified and incorporated into a process model using the Craft.CASE based on the BORM methodology. The final process architecture model facilitated interdisciplinary communication and consensus-building among stakeholders, including healthcare professionals, IT specialists, and legislators. The model served as a foundation for the legislative framework and was included in the explanatory memorandum for the draft amendment to the Pharmaceuticals Act. The use of hierarchical state machines and process modeling tools in developing healthcare legislation effectively reduced misunderstandings and ensured precise implementation. This method can be applied to other complex legislative and system design projects, enhancing stakeholder communication and project success.