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Remote sensing has emerged as one of the proven tools in exploring the Earth, both in on land and ocean areas. Whereas, the remote sensing methods like MBES (Multi Beam Echosounder), Sub Bottom profiler and ROV (Remotely Operated Vehicles) based sonar and optical imaging are being widely used around the world, especially in marine archaeological explorations. In order to explore the potential of MBES data in mapping the remnants of the sunken cities, the present study was carried out. Poompuhar was chosen for the study because it was one of the towering port cities in India, established by the Chola dynasty around 2500 years ago at the mouth of the river Cauvery along the east coast of Tamil Nadu and submerged under the Bay of Bengal Sea around 1000 years ago due to marine incursion. The study has brought out the detailed geomorphology and several manmade structures like harbour, dockyards, settlements of different categories and light house at a depth of 30–80 m in the Bay of Bengal Sea, around 30–50 km east of Poompuhar coast / Cauvery delta coast. The paper discusses about the utility of the MBES data and the detection of manmade structures from it and their significance.

Hydrogels can mimic several features of the cell native microenvironment and have been widely used as synthetic extracellular matrices (ECMs) in tissue engineering and regenerative medicine (TERM). However, some applications have specifications that hydrogels cannot efficiently fulfill on their own. Incorporating reinforcing structures like fibrous scaffolds or particles into hydrogels, as hybrid systems, is a promising strategy to improve their functionality. We describe recent advances in the fabrication and application of these hybrid systems, where structural properties and stimuli responsiveness of hydrogels are enhanced while their ECM-like features are preserved. Furthermore, we discuss how these systems can contribute to the development of more complex tissue engineered structures in the rapidly evolving field of TERM. Native tissue mimicry is still a major challenge in TERM. Extracellular matrix (ECM) analogs should ideally provide biologically relevant biochemical/biophysical cues, in an adequate spatial-temporal manner, to properly stimulate cultured and/or recruited cells towards functional tissue formation.Hydrogels are the most attractive ECM analogs, but it is difficult to tune them to mimic most of the native tissue-specific features alone without concomitantly hindering key biological processes. One promising strategy to overcome this relies on the use of hybrid systems, combining hydrogels with other structures.Providing structural/mechanical reinforcement, spatial patterning/guidance, and/or stimuli responsiveness to hydrogel-based systems emerged as effective methodologies to more closely replicate the plethora of features and signals that native ECM presents to cells.

We introduce a class of continuum shell structures, the Buckliball, which undergoes a structural transformation induced by buckling under pressure loading. The geometry of the Buckliball comprises a spherical shell patterned with a regular array of circular voids. In order for the pattern transformation to be induced by buckling, the possible number and arrangement of these voids are found to be restricted to five specific configurations. Below a critical internal pressure, the narrow ligaments between the voids buckle, leading to a cooperative buckling cascade of the skeleton of the ball. This ligament buckling leads to closure of the voids and a reduction of the total volume of the shell by up to 54%, while remaining spherical, thereby opening the possibility of encapsulation. We use a combination of precision desktop-scale experiments, finite element simulations, and scaling analyses to explore the underlying mechanics of these foldable structures, finding excellent qualitative and quantitative agreement. Given that this folding mechanism is induced by a mechanical instability, our Buckliball opens the possibility for reversible encapsulation, over a wide range of length scales.

Linking biomechanical and evolutionary analysis helps to create viable biomimetic products Biomimetics is based on the idea that living systems offer novel solutions to engineering challenges, as exemplified by the legendary story of how a stubbornly attached burr led to the development of Velcro. Yet, despite dramatic increases in biomimetic research, marketable products remain rare. Evolutionary analysis can be essential for pinpointing biological features that can be emulated in engineered structures. A recently published approach that links biomechanics and evolutionary analysis ( 1 ) points to a powerful strategy for biomimetics, as illustrated by the development of gecko-inspired adhesives ( 2 , 3 ).

The concept of the local climate zone (LCZ) has been recently proposed as a generic land-cover/land-use classification scheme. It divides urban regions into 17 categories based on compositions of man-made structures and natural landscapes. Although it was originally designed for temperature study, the morphological structure concealed in LCZs also reflects economic status and population distribution. To this end, global LCZ classification is of great value for worldwide studies on economy and population. Conventional classification approaches are usually successful for an individual city using optical remote sensing data. This paper, however, attempts for the first time to produce global LCZ classification maps using polarimetric synthetic aperture radar (PolSAR) data. Specifically, we first produce polarimetric features, local statistical features, texture features, and morphological features and compare them, with respect to their classification performance. Here, an ensemble classifier is investigated, which is trained and tested on already separated transcontinental cities. Considering the challenging global scope this work handles, we conclude the classification accuracy is not yet satisfactory. However, Sentinel-1 dual-Pol SAR data could contribute the classification for several LCZ classes. According to our feature studies, the combination of local statistical features and morphological features yields the best classification results with 61.8% overall accuracy (OA), which is 3% higher than the OA produced by the second best features combination. The 3% is considerably large for a global scale. Based on our feature importance analysis, features related to VH polarized data contributed the most to the eventual classification result.

Climbing plants have unique adaptations to enable them to compete for sunlight, for which they invest minimal resources for vertical growth. Indeed, their stems bear relatively little weight, as they traverse their host substrates skyward. Climbers possess high tensile strength and flexibility, which allows them to utilize natural and manmade structures for support and growth. The climbing strategies of plants have intrigued scientists for centuries, yet our understanding about biochemical adaptations and their molecular undergirding is still in the early stages of research. Nonetheless, recent discoveries are promising, not only from a basic knowledge perspective, but also for bioinspired product development. Several adaptations, including nanoparticle and adhesive production will be reviewed, as well as practical translation of these adaptations to commercial applications. We will review the botanical literature on the modes of adaptation to climb, as well as specialized organs—and cellular innovations. Finally, recent molecular and biochemical data will be reviewed to assess the future needs and new directions for potential practical products that may be bioinspired by climbing plants.

Centuries of persecution have influenced the behaviour of large carnivores. For those populations persisting in human-dominated landscapes, complete spatial segregation from humans is not always possible, as they are in close contact with people even when they are resting. The selection of resting sites is expected to be critical for large carnivore persistence in human-dominated landscapes, where resting sites must offer protection to counteract exposure risk. Using wolves (Canis lupus) as a model species, we hypothesised that selection of resting sites by large carnivores in human-dominated landscapes will be not only influenced by human activities, but also strongly determined by cover providing concealment. We studied the fine-scale attributes of 546 wolf resting sites and confronted them to 571 random points in NW Iberia. Half of resting sites (50.8 %) were found in forests (mainly forest plantations, 73.1 %), 43.4 % in scrublands, and only 5.8 % in croplands. Compared to random points, wolves located their resting sites far away from paved and large unpaved roads and from settlements, whereas they significantly selected areas with high availability of horizontal (refuge) and canopy cover. The importance of refuge was remarkably high, with its independent contribution alone being more important than the contribution of all the variables related to human pressure (distances) pooled (51.1 vs 42.8 %, respectively). The strength of refuge selection allowed wolves even to rest relatively close to manmade structures, such as roads and settlements (sometimes less than 200 m). Maintaining high-quality refuge areas becomes an important element to favour the persistence of large carnivores in human-dominated landscapes as well as human-carnivore coexistence, which can easily be integrated in landscape planning.

Sinkholes linked to cover evaporite karst in urban environments still represent a challenge in terms of their clear identification and mapping considering the rehash and man-made structures. In the present research, we have proposed and tested a methodology to identify the subsiding features through an integrated and non-invasive multi-scale approach combining seismic reflection, PS-InSAR (PSI), leveling and full 3D Ground Penetrating Radar (GPR), and thus overpassing the limits of each method. The analysis was conducted in a small village in the Alta Val Tagliamento Valley (Friuli Venezia Giulia region, NE Italy). Here, sinkholes have been reported for a long time as well as the hazards linked to their presence. Within past years, several houses have been demolished and at present many of them are damaged. The PSI investigation allowed the identification of an area with higher vertical velocities; seismic reflection imagined the covered karst bedrock, identifying three depocenters; leveling data presented a downward displacement comparable with PSI results; 3D GPR, applied here for the first time in the study and characterization of sinkholes, defined shallow sinking features. Combining all the obtained results with accurate field observations, we identified and mapped the highest vulnerable zone.

The responses of organisms to organic farming depend on the taxonomic group and landscape complexity. Following the intermediate landscape complexity hypothesis, organic farming can compensate for the lack of complexity in simple landscapes. Argentinian farmlands are simple with large fields and scarce linear habitat array, and conventional agriculture is almost the only agriculture practice. We hypothesize that there is an interaction effect of landscape complexity and farming practices on occupancy and species richness of small mammals in farmland of central Argentina. We selected circular landscapes under organic farming and low- and high-intensity conventional farming and quantified heterogeneity in each landscape considering different cover types (crops, resting plots, fallow land, border habitats, grasslands and man-made structures). We used multi-species occupancy models accounting for multiple seasons with a Bayesian approach to make the estimates. Landscapes under organic farms had the highest level of landscape heterogeneity. In simple Argentinian farmlands, organic farming benefited species richness and occupancy of all small mammal species. Some management strategies used in organic farming (wide and vegetated border habitats, diversity in types of production, winter cover crops, natural or seminatural patches) should be taken into account to increase landscape complexity in conventional farming.

Phase analysis based on high-quality pixel (HQP) is crucial to ensure the measurement accuracy of ground-based SAR (GB-SAR). The amplitude dispersion (ADI) criterion has been widely applied to identify pixels with high amplitude stability, i.e., permanent scatterers (PSs), which typically are point-wise scatterers such as stones or man-made structures. However, the PS number in natural scenes is few and limits the GB-SAR applications. This paper proposes an improved method to take HQP selection applied for natural scenes in GB-SAR interferometry. In order to increase the spatial density of HQP for phase measurement, three types of HQPs including PS, quasi-permanent scatter (QPS), and distributed scatter (DS), are selected with different criteria. The ADI method is firstly utilized to take PS selection. To select those pixels with high phase stability but moderate amplitude stability, the temporal phase coherence (TPC) is defined. Those pixels with moderate ADI values and high TPC are selected as QPSs. Then the feasibility of the DS technique is explored. To validate the feasibility of the proposed method, 2370 GB-SAR images of a natural slope are processed. Experimental results prove that the HQP number could be significantly increased while slightly sacrificing phase quality.